1
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Edwards DM, Sankar K, Alseri A, Jiang R, Schipper M, Miller S, Dess K, Strohbehn GW, Elliott DA, Moghanaki D, Ramnath N, Green MD, Bryant AK. Pneumonitis After Chemoradiotherapy and Adjuvant Durvalumab in Stage III Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2024; 118:963-970. [PMID: 37793573 DOI: 10.1016/j.ijrobp.2023.09.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 09/23/2023] [Accepted: 09/26/2023] [Indexed: 10/06/2023]
Abstract
PURPOSE Adjuvant durvalumab after definitive chemoradiotherapy (CRT) for unresectable stage III non-small cell lung cancer (NSCLC) is well-tolerated in clinical trials. However, pneumonitis rates outside of clinical trials remain poorly defined with CRT followed by durvalumab. We aimed to describe the influence of durvalumab on pneumonitis rates among a large cohort of patients with stage III NSCLC. METHODS AND MATERIALS We studied patients with stage III NSCLC in the national Veterans Health Administration from 2015 to 2021 who received concurrent CRT alone or with adjuvant durvalumab. We defined pneumonitis as worsening respiratory symptoms with radiographic changes within 2 years of CRT and graded events according to National Cancer Institute Common Terminology Criteria for Adverse Events version 4.03. We used Cox regression to analyze risk factors for pneumonitis and the effect of postbaseline pneumonitis on overall survival. RESULTS Among 1994 patients (989 CRT alone, 1005 CRT followed by adjuvant durvalumab), the 2-year incidence of grade 2 or higher pneumonitis was 13.9% for CRT alone versus 22.1% for CRT plus durvalumab (unadjusted P < .001). On multivariable analysis, durvalumab was associated with higher risk of grade 2 pneumonitis (hazard ratio, 1.45; 95% CI, 1.09-1.93; P = .012) but not grade 3 to 5 pneumonitis (P = .2). Grade 3 pneumonitis conferred worse overall survival (hazard ratio, 2.51; 95% CI, 2.06-3.05; P < .001) but grade 2 pneumonitis did not (P = .4). CONCLUSIONS Adjuvant durvalumab use was associated with increased risk of low-grade but not higher-grade pneumonitis. Reassuringly, low-grade pneumonitis did not increase mortality risk. We observed increased rates of high-grade pneumonitis relative to clinical trials; the reasons for this require further study.
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Affiliation(s)
- Donna M Edwards
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Kamya Sankar
- Department of Medicine, Division of Medical Oncology, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | - Aaren Alseri
- Department of Radiology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Ralph Jiang
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Matthew Schipper
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Sean Miller
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Kathryn Dess
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Garth W Strohbehn
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; VA Center for Clinical Management Research, Ann Arbor, Michigan
| | - David A Elliott
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
| | - Drew Moghanaki
- Department of Radiation Oncology, UCLA Jonsson Cancer Center, Los Angeles, California; Department of Radiation Oncology, Veterans Affairs Los Angeles Healthcare System, Los Angeles, California
| | - Nithya Ramnath
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, University of Michigan, Ann Arbor, Michigan; Department of Medicine, Division of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
| | - Alex K Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
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2
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Choi JE, Qiao Y, Kryczek I, Yu J, Gurkan J, Bao Y, Gondal M, Tien JCY, Maj T, Yazdani S, Parolia A, Xia H, Zhou J, Wei S, Grove S, Vatan L, Lin H, Li G, Zheng Y, Zhang Y, Cao X, Su F, Wang R, He T, Cieslik M, Green MD, Zou W, Chinnaiyan AM. PIKfyve controls dendritic cell function and tumor immunity. bioRxiv 2024:2024.02.28.582543. [PMID: 38464258 PMCID: PMC10925294 DOI: 10.1101/2024.02.28.582543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The modern armamentarium for cancer treatment includes immunotherapy and targeted therapy, such as protein kinase inhibitors. However, the mechanisms that allow cancer-targeting drugs to effectively mobilize dendritic cells (DCs) and affect immunotherapy are poorly understood. Here, we report that among shared gene targets of clinically relevant protein kinase inhibitors, high PIKFYVE expression was least predictive of complete response in patients who received immune checkpoint blockade (ICB). In immune cells, high PIKFYVE expression in DCs was associated with worse response to ICB. Genetic and pharmacological studies demonstrated that PIKfyve ablation enhanced DC function via selectively altering the alternate/non-canonical NF-κB pathway. Both loss of Pikfyve in DCs and treatment with apilimod, a potent and specific PIKfyve inhibitor, restrained tumor growth, enhanced DC-dependent T cell immunity, and potentiated ICB efficacy in tumor-bearing mouse models. Furthermore, the combination of a vaccine adjuvant and apilimod reduced tumor progression in vivo. Thus, PIKfyve negatively controls DCs, and PIKfyve inhibition has promise for cancer immunotherapy and vaccine treatment strategies.
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Affiliation(s)
- Jae Eun Choi
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yuanyuan Qiao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jiali Yu
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Jonathan Gurkan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yi Bao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Mahnoor Gondal
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Jean Ching-Yi Tien
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tomasz Maj
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sahr Yazdani
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Abhijit Parolia
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Houjun Xia
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - JiaJia Zhou
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Heng Lin
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Gaopeng Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
| | - Yang Zheng
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Yuping Zhang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Xuhong Cao
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
| | - Fengyun Su
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Rui Wang
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Tongchen He
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Michael D. Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Weiping Zou
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Arul M. Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
- Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
- Department of Urology, University of Michigan, Ann Arbor, MI, USA
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3
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Zhang Q, Jiang L, Wang W, Huber AK, Valvo VM, Jungles KM, Holcomb EA, Pearson AN, The S, Wang Z, Parsels LA, Parsels JD, Wahl DR, Rao A, Sahai V, Lawrence TS, Green MD, Morgan MA. Potentiating the radiation-induced type I interferon antitumoral immune response by ATM inhibition in pancreatic cancer. JCI Insight 2024; 9:e168824. [PMID: 38376927 PMCID: PMC11063931 DOI: 10.1172/jci.insight.168824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 02/14/2024] [Indexed: 02/21/2024] Open
Abstract
Radiotherapy induces a type I interferon-mediated (T1IFN-mediated) antitumoral immune response that we hypothesized could be potentiated by a first-in-class ataxia telangiectasia mutated (ATM) inhibitor, leading to enhanced innate immune signaling, T1IFN expression, and sensitization to immunotherapy in pancreatic cancer. We evaluated the effects of AZD1390 or a structurally related compound, AZD0156, on innate immune signaling and found that both inhibitors enhanced radiation-induced T1IFN expression via the POLIII/RIG-I/MAVS pathway. In immunocompetent syngeneic mouse models of pancreatic cancer, ATM inhibitor enhanced radiation-induced antitumoral immune responses and sensitized tumors to anti-PD-L1, producing immunogenic memory and durable tumor control. Therapeutic responses were associated with increased intratumoral CD8+ T cell frequency and effector function. Tumor control was dependent on CD8+ T cells, as therapeutic efficacy was blunted in CD8+ T cell-depleted mice. Adaptive immune responses to combination therapy provided systemic control of contralateral tumors outside of the radiation field. Taken together, we show that a clinical candidate ATM inhibitor enhances radiation-induced T1IFN, leading to both innate and subsequent adaptive antitumoral immune responses and sensitization of otherwise resistant pancreatic cancer to immunotherapy.
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Affiliation(s)
- Qiang Zhang
- Department of Radiation Oncology and
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Weiwei Wang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | | | - Kassidy M. Jungles
- Department of Pharmacology, University of Michigan, Ann Arbor, Michigan, USA
| | | | | | - Stephanie The
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | | | | | | | - Daniel R. Wahl
- Department of Radiation Oncology and
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
| | - Arvind Rao
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Vaibhav Sahai
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
- Division of Hematology and Oncology, Department of Internal Medicine, and
| | - Theodore S. Lawrence
- Department of Radiation Oncology and
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
| | - Michael D. Green
- Department of Radiation Oncology and
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA
| | - Meredith A. Morgan
- Department of Radiation Oncology and
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan, USA
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4
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Jiang CY, Zhao L, Green MD, Ravishankar S, Towlerton AMH, Scott AJ, Raghavan M, Cusick MF, Warren EH, Ramnath N. Class II HLA-DRB4 is a predictive biomarker for survival following immunotherapy in metastatic non-small cell lung cancer. Sci Rep 2024; 14:345. [PMID: 38172168 PMCID: PMC10764770 DOI: 10.1038/s41598-023-48546-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
Immune checkpoint inhibitors (ICI) are important treatment options for metastatic non-small cell lung cancer (mNSCLC). However, not all patients benefit from ICIs and can experience immune-related adverse events (irAEs). Limited understanding exists for germline determinants of ICI efficacy and toxicity, but Human Leukocyte Antigen (HLA) genes have emerged as a potential predictive biomarker. We performed HLA typing on 85 patients with mNSCLC, on ICI therapy and analyzed the impact of HLA Class II genotype on progression free survival (PFS), overall survival (OS), and irAEs. Most patients received pembrolizumab (83.5%). HLA-DRB4 genotype was seen in 34/85 (40%) and its presence correlated with improved OS in both univariate (p = 0.022; 26.3 months vs 10.2 months) and multivariate analysis (p = 0.011, HR 0.49, 95% CI [0.29, 0.85]). PFS did not reach significance (univariate, p = 0.12, 8.2 months vs 5.1 months). Eleven patients developed endocrine irAEs. HLA-DRB4 was the predominant genotype among these patients (9/11, 81.8%). Cumulative incidence of endocrine irAEs was higher in patients with HLA-DRB4 (p = 0.0139). Our study is the first to suggest that patients with metastatic NSCLC patients on ICI therapy with HLA-DRB4 genotype experience improved survival outcomes. Patients with HLA-DRB4 had the longest median OS (26.3 months). Additionally, we found a correlation between HLA-DRB4 and the occurrence of endocrine irAEs.
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Affiliation(s)
- Cindy Y Jiang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
- Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lili Zhao
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | | | - Andrea M H Towlerton
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Anthony J Scott
- Division of Clinical Genetics, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Malini Raghavan
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
| | - Matthew F Cusick
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Edus H Warren
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nithya Ramnath
- Lieutenant Colonel Charles S. Kettles VA Medical Center (VA Ann Arbor Health System), 2215 Fuller Ave, Ann Arbor, MI, 48105, USA.
- Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
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5
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Bao Y, Qiao Y, Choi JE, Zhang Y, Mannan R, Cheng C, He T, Zheng Y, Yu J, Gondal M, Cruz G, Grove S, Cao X, Su F, Wang R, Chang Y, Kryczek I, Cieslik M, Green MD, Zou W, Chinnaiyan AM. Targeting the lipid kinase PIKfyve upregulates surface expression of MHC class I to augment cancer immunotherapy. Proc Natl Acad Sci U S A 2023; 120:e2314416120. [PMID: 38011559 PMCID: PMC10710078 DOI: 10.1073/pnas.2314416120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/30/2023] [Indexed: 11/29/2023] Open
Abstract
Despite the remarkable clinical success of immunotherapies in a subset of cancer patients, many fail to respond to treatment and exhibit resistance. Here, we found that genetic or pharmacologic inhibition of the lipid kinase PIKfyve, a regulator of autophagic flux and lysosomal biogenesis, upregulated surface expression of major histocompatibility complex class I (MHC-I) in cancer cells via impairing autophagic flux, resulting in enhanced cancer cell killing mediated by CD8+ T cells. Genetic depletion or pharmacologic inhibition of PIKfyve elevated tumor-specific MHC-I surface expression, increased intratumoral functional CD8+ T cells, and slowed tumor progression in multiple syngeneic mouse models. Importantly, enhanced antitumor responses by Pikfyve-depletion were CD8+ T cell- and MHC-I-dependent, as CD8+ T cell depletion or B2m knockout rescued tumor growth. Furthermore, PIKfyve inhibition improved response to immune checkpoint blockade (ICB), adoptive cell therapy, and a therapeutic vaccine. High expression of PIKFYVE was also predictive of poor response to ICB and prognostic of poor survival in ICB-treated cohorts. Collectively, our findings show that targeting PIKfyve enhances immunotherapies by elevating surface expression of MHC-I in cancer cells, and PIKfyve inhibitors have potential as agents to increase immunotherapy response in cancer patients.
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Affiliation(s)
- Yi Bao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Yuanyuan Qiao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI48109
| | - Jae Eun Choi
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Yuping Zhang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Rahul Mannan
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Caleb Cheng
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Tongchen He
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Yang Zheng
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Jiali Yu
- Department of Surgery, University of Michigan, Ann Arbor, MI48109
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI48109
| | - Mahnoor Gondal
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI48109
| | - Gabriel Cruz
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
| | - Sara Grove
- Department of Surgery, University of Michigan, Ann Arbor, MI48109
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI48109
| | - Xuhong Cao
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Fengyun Su
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Rui Wang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Yu Chang
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
| | - Ilona Kryczek
- Department of Surgery, University of Michigan, Ann Arbor, MI48109
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI48109
| | - Marcin Cieslik
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI48109
| | - Michael D. Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI48109
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI48109
- Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI48109
| | - Weiping Zou
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI48109
- Department of Surgery, University of Michigan, Ann Arbor, MI48109
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI48109
| | - Arul M. Chinnaiyan
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI48109
- Department of Pathology, University of Michigan, Ann Arbor, MI48109
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI48109
- HHMI, University of Michigan, Ann Arbor, MI48109
- Department of Urology, University of Michigan, Ann Arbor, MI48109
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6
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Waninger JJ, Ma VT, Chopra Z, Pearson AN, Green MD. Evaluation of the Prognostic Role of Liver Metastases on Patient Outcomes: Systematic Review and Meta-analysis. Cancer J 2023; 29:279-284. [PMID: 37796646 PMCID: PMC10558088 DOI: 10.1097/ppo.0000000000000683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
ABSTRACT The liver is a common site of metastasis for many primary malignancies, but the quantitative impact on survival is unknown. We performed a systematic review and meta-analysis of 83 studies (604,853 patients) assessing the overall hazard associated with liver metastases by primary tumor type and treatment regimen. The pooled overall survival hazard ratio (HR) for all included studies was 1.77 (95% confidence interval [CI], 1.62-1.93). Patients with breast cancer primaries fared the worst (HR, 2.37; 95% CI, 1.64-3.44), as did patients treated with immunotherapies (HR, 1.86; 95% CI, 1.42-2.42). Liver metastases negatively impact survival, necessitating new approaches to disease management.
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Affiliation(s)
| | - Vincent T. Ma
- Department of Internal Medicine, Division of Hematology, Medical Oncology, and Palliative Care, University of Wisconsin, Madison, WI
- Department of Internal Medicine, Division of Hematology and Medical Oncology, University of Michigan, Ann Arbor, MI
| | - Zoey Chopra
- Department of Economics, University of Michigan, Ann Arbor, MI
| | - Ashley N. Pearson
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI
| | - Michael D. Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48109, USA
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7
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Bryant AK, Chopra Z, Edwards DM, Whalley AS, Bazzell BG, Moeller JA, Kelley MJ, Fendrick AM, Kerr EA, Ramnath N, Green MD, Hofer TP, Strohbehn GW. Adopting Weight-Based Dosing With Pharmacy-Level Stewardship Strategies Could Reduce Cancer Drug Spending By Millions. Health Aff (Millwood) 2023; 42:946-955. [PMID: 37406228 PMCID: PMC10985582 DOI: 10.1377/hlthaff.2023.00102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Immune checkpoint inhibitors, a class of drugs used in approximately forty unique cancer indications, are a sizable component of the economic burden of cancer care in the US. Instead of personalized weight-based dosing, immune checkpoint inhibitors are most commonly administered at "one-size-fits-all" flat doses that are higher than necessary for the vast majority of patients. We hypothesized that personalized weight-based dosing along with common stewardship efforts at the pharmacy level, such as dose rounding and vial sharing, would lead to reductions in immune checkpoint inhibitor use and lower spending. Using data from the Veterans Health Administration (VHA) and Medicare drug prices, we estimated reductions in immune checkpoint inhibitor use and spending that would be associated with pharmacy-level stewardship strategies, in a case-control simulation study of individual patient-level immune checkpoint inhibitor administration events. We identified baseline annual VHA spending for these drugs of approximately $537 million. Combining weight-based dosing, dose rounding, and pharmacy-level vial sharing would generate expected annual VHA health system savings of $74 million (13.7 percent). We conclude that adoption of pharmacologically justified immune checkpoint inhibitor stewardship measures would generate sizable reductions in spending for these drugs. Combining these operational innovations with value-based drug price negotiation enabled by recent policy changes may improve the long-term financial viability of cancer care in the US.
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Affiliation(s)
- Alex K Bryant
- Alex K. Bryant, University of Michigan, Ann Arbor, Michigan
| | | | | | - Adam S Whalley
- Adam S. Whalley, Veterans Affairs (VA) Maine Health Care, Augusta, Maine
| | - Brian G Bazzell
- Brian G. Bazzell, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | | | - Michael J Kelley
- Michael J. Kelley, Duke University and VA National Oncology Program Office, Durham, North Carolina
| | | | - Eve A Kerr
- Eve A. Kerr, University of Michigan and VA Ann Arbor Healthcare System
| | | | | | - Timothy P Hofer
- Timothy P. Hofer, University of Michigan and VA Ann Arbor Healthcare System
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8
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Sankar K, Pearson AN, Worlikar T, Perricone MD, Holcomb EA, Mendiratta-Lala M, Xu Z, Bhowmick N, Green MD. Impact of immune tolerance mechanisms on the efficacy of immunotherapy in primary and secondary liver cancers. Transl Gastroenterol Hepatol 2023; 8:29. [PMID: 37601739 PMCID: PMC10432235 DOI: 10.21037/tgh-23-11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 06/13/2023] [Indexed: 08/22/2023] Open
Abstract
The liver is a functionally unique organ with an immunosuppressive microenvironment. The liver is the sixth most common site of primary cancer in humans and is a frequent site of metastasis from other solid tumors. The development of effective therapies for primary and metastatic liver cancer has been challenging due to the complex metabolic and immune microenvironment of the liver. The liver tumor microenvironment (TME) in primary and secondary (metastatic) liver cancers is heterogenous and consists of unique immune and stromal cell populations. Crosstalk between these cell populations and tumor cells creates an immunosuppressive microenvironment within the liver which potentiates cancer progression. Immune checkpoint inhibitors (ICIs) are now clinically approved for the management of primary and secondary liver cancer and can partially overcome liver immune tolerance, but their efficacy is limited. In this review, we describe the liver microenvironment and the use of immunotherapy in primary and secondary liver cancer. We discuss emerging combination strategies utilizing locoregional and systemic therapy approaches which may enhance efficacy of immunotherapy in primary and secondary liver cancer. A deeper understanding of the immunosuppressive microenvironment of the liver will inform novel therapies and therapeutic combinations in order to improve outcomes of patients with primary and secondary liver cancer.
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Affiliation(s)
- Kamya Sankar
- Division of Medical Oncology, Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Ashley N. Pearson
- Graduate Program in Immunology, School of Medicine, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Tejaswi Worlikar
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Matthew D. Perricone
- Program in Biomedical Sciences, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Erin A. Holcomb
- Graduate Program in Immunology, School of Medicine, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | | | - Zhen Xu
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Neil Bhowmick
- Division of Medical Oncology, Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Michael D. Green
- Graduate Program in Immunology, School of Medicine, University of Michigan, Ann Arbor, MI, USA
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
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Jungles KM, Wang Z, Bishop CR, Jungles KR, Wilson C, Liu M, Pearson AN, Holcomb EA, Chandler B, James J, Huber A, Pierce LJ, Speers C, Rae JM, Green MD. Abstract 2823: Targeting monopolar spindle kinase I (TTK) as a radiosensitizing strategy in syngeneic murine models of triple negative breast cancer (TNBC) and its implications on the tumor immune microenvironment. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-2823] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Purpose: Triple negative breast cancer (TNBC) is an aggressive breast cancer subset with poor outcomes. Since TNBC is resistant to hormone therapies, there are few effective therapies available for TNBC patients. One potential therapeutic strategy exists in targeting specific molecular components of an individual patient’s cancer. Prior work in our group has nominated monopolar spindle kinase I (TTK) as a gene upregulated in breast cancer patients. Specifically, TTK expression was found to be increased in cancerous breast tissue compared to healthy tissue and correlated with cancer recurrence following radiotherapy. Importantly, the implications of TTK inhibition and radiotherapy on the immune system is not well understood. In this study, we aimed to elucidate the role of combined TTK inhibition and radiotherapy in syngeneic murine mouse models. We hypothesize that TTK inhibition will radiosensitize murine TNBC models to radiotherapy both in vitro and in vivo and modulate the immune tumor microenvironment.
Methods: Cell viability assays were implemented to determine the half-maximal inhibitory concentrations (IC50) of TTK inhibitor. Clonogenic survival assays were used to determine the radiation enhancement ratios (rERs) of TTK inhibition in vitro. Syngeneic murine mouse models were used to assess therapeutic effects of TTK inhibition and RT in vivo. 4T1 TNBC cells were injected bilaterally into the flanks of BALB/c mice and treated with combinations of radiotherapy and TTK inhibition. Tumor growth was monitored and, following the completion of the study, final tumor weights were recorded and tumor tissue was collected to perform immunofluorescent microscopy.
Results: Single-agent TTK inhibition via treatment with the ATP-competitive inhibitor empesertib inhibits the growth of murine TNBC cell lines with IC50 values up to 30nM. Sub-IC50 values of TTK inhibitor induced radiosensitization in the murine TNBC cells 4T1 (rERs ≤ 2.4) and Py8119 (rERs ≤ 1.6). TTK knockdown also resulted in changes in radiosensitization in vitro. Furthermore, we also observed a similar phenotype in vivo. In our 4T1 model system, mice receiving combined treatment had significantly decreased tumor growth compared to mice that receiving single-agent therapies or vehicle control alone. Quantities of monocyte derived suppressor cells and CD8+ T cells were altered with radiotherapy and TTK inhibition.
Conclusion: Our data suggests that TTK inhibition and radiotherapy is synergistic in murine TNBC and alters the tumor immune microenvironment. This combined therapy suggests that changes in the underlying immune mechanisms as a result of the synergistic treatment efficacy are important in TNBC. Future work will examine the underlying mechanisms of TTK inhibition and radiotherapy on systemic and tumoral immune changes.
Citation Format: Kassidy M. Jungles, Zhuwen Wang, Caroline R. Bishop, Kalli R. Jungles, Cydnee Wilson, Meilan Liu, Ashley N. Pearson, Erin A. Holcomb, Ben Chandler, Jadyn James, Amanda Huber, Lori J. Pierce, Corey Speers, James M. Rae, Michael D. Green. Targeting monopolar spindle kinase I (TTK) as a radiosensitizing strategy in syngeneic murine models of triple negative breast cancer (TNBC) and its implications on the tumor immune microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2823.
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Green MD, Dalmage MR, Lusk JB, Kadhim EF, Skalla LA, O'Brien EC. Public reporting of black participation in anti-hypertensive drug clinical trials. Am Heart J 2023; 258:129-139. [PMID: 36640861 DOI: 10.1016/j.ahj.2023.01.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/05/2022] [Accepted: 01/04/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Non-Hispanic Black people in the United States have the highest prevalence of essential hypertension. Unfortunately, clinical trials often underrepresent Black patients. We aim to understand whether trial sponsorship type is associated with representation of Black participants in anti-hypertensive drug clinical trials. Then, we contextualize our findings amongst current efforts to improve diversity in clinical research populations. METHODS We searched ClinicalTrials.gov in May 2022 for antihypertensive drug trials. Of n = 408 trials in our initial search, n = 97 (23.77%) met inclusion criteria and were stratified by sponsorship type (industry vs non-industry). Standardized tests of difference were employed to compare characteristics of these trials, and linear regression was used to model change over time. RESULTS Of 97 trials reporting results from 2010 to 2020, there were minimal differences in the percent of Black patients enrolled in anti-hypertensive clinical trials by sponsorship type. Both industry and non-industry sponsored studies had high rates of non-reporting, with slightly more non-reporting for industry (73.2%) vs non-industry (66.67%) studies. Industry funded studies reported results to ClinicalTrials.gov within 23.3 ± 15.0 months from completing studies, while non-industry funded trials reported within 18.9 ± 10.8 months. CONCLUSIONS Despite Black Americans carrying the highest burden of disease for essential hypertension, they are underrepresented in anti-hypertension clinical trials and their overall participation has decreased between 2010 and 2020. In addition, there is major underreporting of trial participant race. We implore researchers and funders to establish clear, meaningful targets for anti-hypertensive drug trial diversity, and improve transparency in reporting of study characteristics.
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Affiliation(s)
- Michael D Green
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America; Duke University Medical Center Library & Archives, Duke University School of Medicine, Durham, NC, United States of America.
| | - Mahalia R Dalmage
- Division of Biological Sciences, Pritzker School of Medicine, University of Chicago, Chicago, IL, United States of America
| | - Jay B Lusk
- Department of Neurology, Duke University School of Medicine, Durham, NC, United States of America; Fuqua School of Business, Duke University, Durham, NC, United States of America
| | - Emilie F Kadhim
- Social & Behavioural Health Sciences Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Lesley A Skalla
- Duke University Medical Center Library & Archives, Duke University School of Medicine, Durham, NC, United States of America
| | - Emily C O'Brien
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, United States of America
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11
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Li G, Choi JE, Kryczek I, Sun Y, Liao P, Li S, Wei S, Grove S, Vatan L, Nelson R, Schaefer G, Allen SG, Sankar K, Fecher LA, Mendiratta-Lala M, Frankel TL, Qin A, Waninger JJ, Tezel A, Alva A, Lao CD, Ramnath N, Cieslik M, Harms PW, Green MD, Chinnaiyan AM, Zou W. Intersection of immune and oncometabolic pathways drives cancer hyperprogression during immunotherapy. Cancer Cell 2023; 41:304-322.e7. [PMID: 36638784 PMCID: PMC10286807 DOI: 10.1016/j.ccell.2022.12.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 11/07/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023]
Abstract
Immune checkpoint blockade (ICB) can produce durable responses against cancer. We and others have found that a subset of patients experiences paradoxical rapid cancer progression during immunotherapy. It is poorly understood how tumors can accelerate their progression during ICB. In some preclinical models, ICB causes hyperprogressive disease (HPD). While immune exclusion drives resistance to ICB, counterintuitively, patients with HPD and complete response (CR) following ICB manifest comparable levels of tumor-infiltrating CD8+ T cells and interferon γ (IFNγ) gene signature. Interestingly, patients with HPD but not CR exhibit elevated tumoral fibroblast growth factor 2 (FGF2) and β-catenin signaling. In animal models, T cell-derived IFNγ promotes tumor FGF2 signaling, thereby suppressing PKM2 activity and decreasing NAD+, resulting in reduction of SIRT1-mediated β-catenin deacetylation and enhanced β-catenin acetylation, consequently reprograming tumor stemness. Targeting the IFNγ-PKM2-β-catenin axis prevents HPD in preclinical models. Thus, the crosstalk of core immunogenic, metabolic, and oncogenic pathways via the IFNγ-PKM2-β-catenin cascade underlies ICB-associated HPD.
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Affiliation(s)
- Gaopeng Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Jae Eun Choi
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Yilun Sun
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Peng Liao
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Shasha Li
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Reagan Nelson
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Grace Schaefer
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Steven G Allen
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Kamya Sankar
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Leslie A Fecher
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Angel Qin
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Jessica J Waninger
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Alangoya Tezel
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Ajjai Alva
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Christopher D Lao
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Nithya Ramnath
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Paul W Harms
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Michael D Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan, Ann Arbor, MI, USA; Graduate Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA.
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA
| | - Weiping Zou
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA; Department of Pathology, University of Michigan, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan, Ann Arbor, MI, USA; Graduate Program in Cancer Biology, University of Michigan, Ann Arbor, MI, USA.
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12
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Jungles KM, Green MD. Fat Fuels the Fire in Cervical Cancer. Cancer Res 2022; 82:4513-4514. [PMID: 36524346 DOI: 10.1158/0008-5472.can-22-3143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 10/05/2022] [Indexed: 12/23/2022]
Abstract
Cervical cancer is the second most common cause of cancer mortality among young women and disproportionately impacts underserved patient populations. An obesity paradox has been observed in cervical cancer wherein patients with higher body mass indices benefit more from standard-of-care chemoradiation. However, the molecular pathways through which obesity modulates treatment response are poorly defined. In exciting work in this issue of Cancer Research, Muhammad and colleagues have shown that monounsaturated and diunsaturated free fatty acids released by adipocytes activate β-oxidation within tumor cells, which potentiates radiotherapy. This work extends our understanding of the metabolic vulnerabilities of cervical cancer. See related article by Muhammad et al., p. 4515.
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Affiliation(s)
- Kassidy M Jungles
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
- Department of Pharmacology, University of Michigan, Ann Arbor, Michigan
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
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13
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Bryant AK, Lee KM, Alba PR, Murphy JD, Martinez ME, Natarajan L, Green MD, Dess RT, Anglin-Foote TR, Robison B, DuVall SL, Lynch JA, Rose BS. Association of Prostate-Specific Antigen Screening Rates With Subsequent Metastatic Prostate Cancer Incidence at US Veterans Health Administration Facilities. JAMA Oncol 2022; 8:1747-1755. [PMID: 36279204 PMCID: PMC9593319 DOI: 10.1001/jamaoncol.2022.4319] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 07/27/2022] [Indexed: 01/25/2023]
Abstract
Importance There is controversy about the benefit of prostate-specific antigen (PSA) screening. Prostate-specific antigen screening rates have decreased since 2008 in the US, and the incidence of metastatic prostate cancer has increased. However, there is no direct epidemiologic evidence of a correlation between population PSA screening rates and subsequent metastatic prostate cancer rates. Objective To assess whether facility-level variation in PSA screening rates is associated with subsequent facility-level metastatic prostate cancer incidence. Design, Setting, and Participants This retrospective cohort used data for all men aged 40 years or older with an encounter at 128 facilities in the US Veterans Health Administration (VHA) from January 1, 2005, to December 31, 2019. Exposures Yearly facility-level PSA screening rates, defined as the proportion of men aged 40 years or older with a PSA test in each year, and long-term nonscreening rates, defined as the proportion of men aged 40 years or older without a PSA test in the prior 3 years, from January 1, 2005, to December 31, 2014. Main Outcomes and Measures The main outcomes were facility-level yearly counts of incident metastatic prostate cancer diagnoses and age-adjusted yearly metastatic prostate cancer incidence rates (per 100 000 men) 5 years after each PSA screening exposure year. Results The cohort included 4 678 412 men in 2005 and 5 371 701 men in 2019. Prostate-specific antigen screening rates decreased from 47.2% in 2005 to 37.0% in 2019, and metastatic prostate cancer incidence increased from 5.2 per 100 000 men in 2005 to 7.9 per 100 000 men in 2019. Higher facility-level PSA screening rates were associated with lower metastatic prostate cancer incidence 5 years later (incidence rate ratio [IRR], 0.91 per 10% increase in PSA screening rate; 95% CI, 0.87-0.96; P < .001). Higher long-term nonscreening rates were associated with higher metastatic prostate cancer incidence 5 years later (IRR, 1.11 per 10% increase in long-term nonscreening rate; 95% CI, 1.03-1.19; P = .01). Conclusions and Relevance From 2005 to 2019, PSA screening rates decreased in the national VHA system. Facilities with higher PSA screening rates had lower subsequent rates of metastatic prostate cancer. These data may be used to inform shared decision-making about the potential benefits of PSA screening among men who wish to reduce their risk of metastatic prostate cancer.
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Affiliation(s)
- Alex K. Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah
| | - Patrick R. Alba
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - James D. Murphy
- Veterans Affairs San Diego Healthcare System, San Diego, California
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla
| | - Maria Elena Martinez
- Moores Cancer Center, University of California, San Diego, La Jolla
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla
| | - Loki Natarajan
- Moores Cancer Center, University of California, San Diego, La Jolla
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla
| | - Michael D. Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan
| | - Robert T. Dess
- Department of Radiation Oncology, University of Michigan, Ann Arbor
| | - Tori R. Anglin-Foote
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah
| | - Brian Robison
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah
| | - Scott L. DuVall
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Julie A. Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah
- Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City
| | - Brent S. Rose
- Veterans Affairs San Diego Healthcare System, San Diego, California
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla
- Department of Urology, University of California, San Diego, La Jolla
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14
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Holcomb EA, Pearson AN, Jungles KM, Tate A, James J, Jiang L, Huber AK, Green MD. High-content CRISPR screening in tumor immunology. Front Immunol 2022; 13:1041451. [PMID: 36479127 PMCID: PMC9721350 DOI: 10.3389/fimmu.2022.1041451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 10/21/2022] [Indexed: 11/22/2022] Open
Abstract
CRISPR screening is a powerful tool that links specific genetic alterations to corresponding phenotypes, thus allowing for high-throughput identification of novel gene functions. Pooled CRISPR screens have enabled discovery of innate and adaptive immune response regulators in the setting of viral infection and cancer. Emerging methods couple pooled CRISPR screens with parallel high-content readouts at the transcriptomic, epigenetic, proteomic, and optical levels. These approaches are illuminating cancer immune evasion mechanisms as well as nominating novel targets that augment T cell activation, increase T cell infiltration into tumors, and promote enhanced T cell cytotoxicity. This review details recent methodological advances in high-content CRISPR screens and highlights the impact this technology is having on tumor immunology.
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Affiliation(s)
- Erin A. Holcomb
- Graduate Program in Immunology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Ashley N. Pearson
- Graduate Program in Immunology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Kassidy M. Jungles
- Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Department of Pharmacology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
| | - Akshay Tate
- Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Jadyn James
- Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Long Jiang
- Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Institute of Health and Medicine, Hefei Comprehensive National Science Center, Hefei, China
| | - Amanda K. Huber
- Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Michael D. Green
- Graduate Program in Immunology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Department of Radiation Oncology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States,Department of Microbiology and Immunology, School of Medicine, University of Michigan, Ann Arbor, MI, United States,Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United States,*Correspondence: Michael D. Green,
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Jungles KM, Holcomb EA, Pearson AN, Jungles KR, Bishop CR, Pierce LJ, Green MD, Speers CW. Updates in combined approaches of radiotherapy and immune checkpoint inhibitors for the treatment of breast cancer. Front Oncol 2022; 12:1022542. [PMID: 36387071 PMCID: PMC9643771 DOI: 10.3389/fonc.2022.1022542] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/27/2022] [Indexed: 12/05/2022] Open
Abstract
Breast cancer is the most prevalent non-skin cancer diagnosed in females and developing novel therapeutic strategies to improve patient outcomes is crucial. The immune system plays an integral role in the body’s response to breast cancer and modulating this immune response through immunotherapy is a promising therapeutic option. Although immune checkpoint inhibitors were recently approved for the treatment of breast cancer patients, not all patients respond to immune checkpoint inhibitors as a monotherapy, highlighting the need to better understand the biology underlying patient response. Additionally, as radiotherapy is a critical component of breast cancer treatment, understanding the interplay of radiation and immune checkpoint inhibitors will be vital as recent studies suggest that combined therapies may induce synergistic effects in preclinical models of breast cancer. This review will discuss the mechanisms supporting combined approaches with radiotherapy and immune checkpoint inhibitors for the treatment of breast cancer. Moreover, this review will analyze the current clinical trials examining combined approaches of radiotherapy, immunotherapy, chemotherapy, and targeted therapy. Finally, this review will evaluate data regarding treatment tolerance and potential biomarkers for these emerging therapies aimed at improving breast cancer outcomes.
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Affiliation(s)
- Kassidy M. Jungles
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- Department of Pharmacology, University of Michigan, Ann Arbor, MI, United States
| | - Erin A. Holcomb
- Graduate Program in Immunology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Ashley N. Pearson
- Graduate Program in Immunology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Kalli R. Jungles
- Department of Biology, Saint Mary’s College, Notre Dame, IN, United States
| | - Caroline R. Bishop
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Lori J. Pierce
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
| | - Michael D. Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI, United States
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, United States
- *Correspondence: Michael D. Green, ; Corey W. Speers,
| | - Corey W. Speers
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Case Comprehensive Cancer Center, Cleveland, OH, United States
- *Correspondence: Michael D. Green, ; Corey W. Speers,
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16
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Bryant AK, Sankar K, Zhao L, Strohbehn GW, Elliott D, Moghanaki D, Kelley MJ, Ramnath N, Green MD. De-escalating adjuvant durvalumab treatment duration in stage III non-small cell lung cancer. Eur J Cancer 2022; 171:55-63. [PMID: 35704975 PMCID: PMC10508975 DOI: 10.1016/j.ejca.2022.04.033] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/09/2022] [Accepted: 04/23/2022] [Indexed: 11/30/2022]
Abstract
BACKGROUND One year of adjuvant durvalumab following concurrent chemoradiotherapy significantly improves progression-free survival (PFS) and overall survival (OS) for patients with stage III non-small cell lung cancer (NSCLC). However, the optimal length of adjuvant therapy has not been determined. METHODS We identified patients with stage III NSCLC treated with definitive chemoradiation and adjuvant durvalumab from November 2017 to April 2021 from the United States Veterans Affairs system. Predictors of early durvalumab discontinuation were evaluated with Cox proportional hazards regression. The effect of differing durations of durvalumab treatment (up to 6, 9, and 12 months) on PFS and OS were compared with a marginal structural model and time-dependent Cox modelling. RESULTS We included 1006 patients with stage III non-small cell lung cancer who received concurrent chemoradiotherapy and at least one dose of adjuvant durvalumab. The median duration of durvalumab treatment was 7 months (interquartile range 2.8-11.5) and 31% completed the intended durvalumab course. The most common reasons for early discontinuation were tumour progression (22%), immune-related adverse events (15%), and non-immune-related toxicity (6.0%), Marginal structural models suggested similar PFS for 9 months versus 12 months of durvalumab treatment and inferior PFS for 6 months versus 12 months. CONCLUSIONS A substantial proportion of patients undergoing adjuvant durvalumab discontinue therapy early due to toxicity, and shorter durvalumab treatment durations may provide similar disease control to 12 months of therapy. Prospective randomised controlled studies are needed to characterise the optimal durvalumab treatment duration in locally advanced NSCLC patients.
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Affiliation(s)
- Alex K Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Kamya Sankar
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Lili Zhao
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - Garth W Strohbehn
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; VA Center for Clinical Management Research, Veterans Affairs Ann Arbor, Ann Arbor, MI, USA
| | - David Elliott
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Drew Moghanaki
- Department of Radiation Oncology, VA Greater Los Angeles, Los Angeles, CA, USA; UCLA Jonsson Cancer Center, Los Angeles, CA, USA
| | - Michael J Kelley
- Division of Hematology Oncology, Department of Medicine, Duke University, Durham, NC, USA; VA Medical Center in Durham, Durham, NC, USA
| | - Nithya Ramnath
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
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17
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Bryant AK, Sankar K, Strohbehn GW, Zhao L, Daniel V, Elliott D, Ramnath N, Green MD. Prognostic and Predictive Role of PD-L1 Expression in Stage III Non-small Cell Lung Cancer Treated With Definitive Chemoradiation and Adjuvant Durvalumab. Int J Radiat Oncol Biol Phys 2022; 113:752-758. [PMID: 35450753 PMCID: PMC9246927 DOI: 10.1016/j.ijrobp.2022.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 03/07/2022] [Accepted: 03/13/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE It is unclear whether programmed death ligand 1 (PD-L1) expression is prognostic or predictive of immunotherapy benefit among patients with stage III non-small cell lung cancer (NSCLC) treated with definitive chemoradiation and adjuvant durvalumab. METHODS AND MATERIALS We determined pretreatment tumor PD-L1 expression for 312 patients with stage III NSCLC treated with definitive chemoradiation and at least 1 dose of adjuvant durvalumab between November 2017 and April 2021 across the national Veterans Health Administration. Progression-free survival (PFS) and overall survival (OS) in PD-L1 expression subgroups (<1%, 1%-49%, and 50%-100%) were compared with 994 patients with stage III NSCLC treated without adjuvant durvalumab from 2015 to 2016. RESULTS PD-L1 expression was <1%, 1% to 49%, and 50% to 100% in 109 (34.9%), 96 (30.7%), and 107 (34.3%) patients, respectively. Increasing PD-L1 expression was associated with longer PFS (adjusted hazard ratio [aHR], 0.84 per 25% absolute increase in expression; 95% confidence interval [CI], 0.75-0.94; P = .003) and OS (aHR, 0.86 per 25% absolute increase in expression; 95% CI, 0.74-0.99; P = .036). Compared with the no-durvalumab group, PFS was longer for PD-L1 50% to 100% (aHR, 0.44; 95% CI, 0.32-0.60; P < .001) and PD-L1 1% to 49% (aHR, 0.64; 95% CI, 0.47-0.86; P = .003) but not PD-L1 <1% (aHR, 0.84; 95% CI, 0.64-1.10; P = .19). Similar results were found for OS, with no significant difference between the no-durvalumab group and PD-L1 <1% (aHR, 0.81; 95% CI, 0.58-1.13; P = .22). CONCLUSIONS Increasing tumor PD-L1 expression is prognostic for PFS and OS among patients with stage III NSCLC treated with adjuvant durvalumab, and patients with PD-L1 expression <1% may have limited benefit from adjuvant durvalumab.
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Affiliation(s)
- Alex K Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Kamya Sankar
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Garth W Strohbehn
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Veterans Affairs Center for Clinical Management Research, Veterans Affairs Ann Arbor, Ann Arbor, Michigan
| | - Lili Zhao
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Victoria Daniel
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - David Elliott
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Nithya Ramnath
- Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
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18
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Ma VT, Chamila Perera AA, Sun Y, Sitto M, Waninger JJ, Warrier G, Green MD, Fecher LA, Lao CD. Early Response Assessment in Advanced Stage Melanoma Treated with Combination Ipilimumab/Nivolumab. Front Immunol 2022; 13:860421. [PMID: 35874737 PMCID: PMC9296775 DOI: 10.3389/fimmu.2022.860421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Accepted: 06/03/2022] [Indexed: 11/25/2022] Open
Abstract
Background Standard combination ipilimumab/nivolumab (I/N) is given as 4 induction doses for advanced stage melanoma followed by nivolumab single-agent maintenance therapy. While many patients receive less than 4 doses due to immune-related toxicities, it is unclear if fewer doses of I/N may still provide long term clinical benefit. Our aim is to determine if response assessment after 1 or 2 doses of I/N can predict long-term survival and assess if fewer doses of I/N can lead to similar survival outcomes. Methods We performed a retrospective analysis on a cohort of patients with advanced melanoma who w0ere treated with standard I/N. Cox regression of progression-free survival (PFS) and overall survival (OS) models were performed to assess the relationship between response after 1 or 2 doses of I/N and risk of progression and/or death. Clinical benefit response (CBR) was assessed, defined as SD (stable disease) + PR (partial response) + CR (complete response) by imaging. Among patients who achieved a CBR after 1 or 2 doses of I/N, a multivariable Cox regression of survival was used to compare 1 or 2 vs 3 or 4 doses of I/N adjusted by known prognostic variables in advanced melanoma. Results 199 patients were evaluated. Patients with CBR after 1 dose of I/N had improved PFS (HR: 0.16, 95% CI 0.08-0.33; p<0.001) and OS (HR: 0.12, 0.05-0.32; p<0.001) compared to progressive disease (PD). Patients with CBR (vs PD) after 2 doses of I/N also had improved PFS (HR: 0.09, 0.05-0.16; p<0.001) and OS (HR: 0.07, 0.03-0.14; p<0.001). There was no survival risk difference comparing 1 or 2 vs 3 or 4 doses of I/N for PFS (HR: 0.95, 0.37-2.48; p=0.921) and OS (HR: 1.04, 0.22-4.78; p=0.965). Conclusions Early interval imaging with response during induction with I/N may be predictive of long-term survival in advanced stage melanoma. CBR after 1 or 2 doses of I/N is associated with favorable survival outcomes, even in the setting of fewer I/N doses received. Further studies are warranted to evaluate if electively administering fewer combination I/N doses despite tolerance in select patients may balance the benefits of therapy while decreasing toxicities.
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Affiliation(s)
- Vincent T. Ma
- Department of Internal Medicine, Division of Hematology, Medical Oncology, and Palliative Care, University of Wisconsin, Madison, WI, United States
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Vincent T. Ma,
| | | | - Yilun Sun
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Merna Sitto
- Department of Medical Education, University of Michigan, Ann Arbor, MI, United States
| | - Jessica J. Waninger
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
- Department of Medical Education, University of Michigan, Ann Arbor, MI, United States
| | - Govind Warrier
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States
| | - Michael D. Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, United States
- Department of Radiation Oncology, Veteran Affairs Ann Arbor Hospital System, Ann Arbor, MI, United States
| | - Leslie A. Fecher
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, United States
| | - Christopher D. Lao
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, United States
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19
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Wang W, McMillan MT, Zhao X, Wang Z, Jiang L, Karnak D, Lima F, Parsels JD, Parsels LA, Lawrence TS, Frankel TL, Morgan MA, Green MD, Zhang Q. DNA-PK Inhibition and Radiation Promote Antitumoral Immunity through RNA Polymerase III in Pancreatic Cancer. Mol Cancer Res 2022; 20:1137-1150. [PMID: 35348737 PMCID: PMC9262824 DOI: 10.1158/1541-7786.mcr-21-0725] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 02/26/2022] [Accepted: 03/23/2022] [Indexed: 01/09/2023]
Abstract
Targeting the DNA damage response in combination with radiation enhances type I interferon (T1IFN)-driven innate immune signaling. It is not understood, however, whether DNA-dependent protein kinase (DNA-PK), the kinase critical for repairing the majority of radiation-induced DNA double-strand breaks in cancer cells, is immunomodulatory. We show that combining radiation with DNA-PK inhibition increases cytosolic double-stranded DNA and tumoral T1IFN signaling in a cyclic GMP-AMP synthase (cGAS)- and stimulator of interferon genes (STING)-independent, but an RNA polymerase III (POL III), retinoic acid-inducible gene I (RIG-I), and antiviral-signaling protein (MAVS)-dependent manner. Although DNA-PK inhibition and radiation also promote programmed death-ligand 1 (PD-L1) expression, the use of anti-PD-L1 in combination with radiation and DNA-PK inhibitor potentiates antitumor immunity in pancreatic cancer models. Our findings demonstrate a novel mechanism for the antitumoral immune effects of DNA-PK inhibitor and radiation that leads to increased sensitivity to anti-PD-L1 in poorly immunogenic pancreatic cancers. IMPLICATIONS Our work nominates a novel therapeutic strategy as well as its cellular mechanisms pertinent for future clinical trials combining M3814, radiation, and anti-PD-L1 antibody in patients with pancreatic cancer.
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Affiliation(s)
- Weiwei Wang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Matthew T. McMillan
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Xinyi Zhao
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Zhuwen Wang
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Long Jiang
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - David Karnak
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Fatima Lima
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Joshua D. Parsels
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Leslie A. Parsels
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Theodore S. Lawrence
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Timothy L Frankel
- Department of Surgery, University of Michigan, Ann Arbor, MI 48109, USA
| | - Meredith A. Morgan
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Michael D. Green
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Qiang Zhang
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan, USA
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20
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Green MD, Brenneman R, Powell SN, Bergom C. Harnessing the DNA Repair Pathway in Breast Cancer: Germline Mutations/Polymorphisms in Breast Radiation. Semin Radiat Oncol 2022; 32:298-302. [PMID: 35688528 DOI: 10.1016/j.semradonc.2022.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Molecular profiling facilitates opportunities for personalization of breast cancer management. Increasing availability of germline and somatic sequencing provides insight into predictors of treatment efficacy and treatment tolerance of patients with breast cancer. The presence of pathologic mutations can guide patient selection for breast conserving surgery vs mastectomy. However, our understanding of the interplay between genetic variants and radiotherapy responses and side effects remains incomplete. Here we review the available data on germline mutations and polymorphisms in breast cancer. We also outline their association with treatment tolerance, locoregional outcomes, and ongoing efforts to transform these insights into more effective treatment strategies in combination with radiotherapy.
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Affiliation(s)
- Michael D Green
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI; Rogel Cancer Center, University of Michigan, Ann Arbor, MI; Department of Microbiology and Immunology, University of Michigan School of Medicine, Ann Arbor, MI; Graduate Program in Immunology, University of Michigan School of Medicine, Ann Arbor, MI; Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI
| | - Randall Brenneman
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO
| | - Simon N Powell
- Department of Radiation Oncology and Molecular Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Carmen Bergom
- Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO.
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21
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Hinton T, Karnak D, Tang M, Jiang R, Luo Y, Boonstra P, Sun Y, Nancarrow DJ, Sandford E, Ray P, Maurino C, Matuszak M, Schipper MJ, Green MD, Yanik GA, Tewari M, Naqa IE, Schonewolf CA, Haken RT, Jolly S, Lawrence TS, Ray D. Improved prediction of radiation pneumonitis by combining biological and radiobiological parameters using a data-driven Bayesian network analysis. Transl Oncol 2022; 21:101428. [PMID: 35460942 PMCID: PMC9046881 DOI: 10.1016/j.tranon.2022.101428] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/25/2022] [Accepted: 04/10/2022] [Indexed: 02/07/2023] Open
Abstract
Grade 2 and higher radiation pneumonitis (RP2) is a potentially fatal toxicity that limits efficacy of radiation therapy (RT). We wished to identify a combined biomarker signature of circulating miRNAs and cytokines which, along with radiobiological and clinical parameters, may better predict a targetable RP2 pathway. In a prospective clinical trial of response-adapted RT for patients (n = 39) with locally advanced non-small cell lung cancer, we analyzed patients' plasma, collected pre- and during RT, for microRNAs (miRNAs) and cytokines using array and multiplex enzyme linked immunosorbent assay (ELISA), respectively. Interactions between candidate biomarkers, radiobiological, and clinical parameters were analyzed using data-driven Bayesian network (DD-BN) analysis. We identified alterations in specific miRNAs (miR-532, -99b and -495, let-7c, -451 and -139-3p) correlating with lung toxicity. High levels of soluble tumor necrosis factor alpha receptor 1 (sTNFR1) were detected in a majority of lung cancer patients. However, among RP patients, within 2 weeks of RT initiation, we noted a trend of temporary decline in sTNFR1 (a physiological scavenger of TNFα) and ADAM17 (a shedding protease that cleaves both membrane-bound TNFα and TNFR1) levels. Cytokine signature identified activation of inflammatory pathway. Using DD-BN we combined miRNA and cytokine data along with generalized equivalent uniform dose (gEUD) to identify pathways with better accuracy of predicting RP2 as compared to either miRNA or cytokines alone. This signature suggests that activation of the TNFα-NFκB inflammatory pathway plays a key role in RP which could be specifically ameliorated by etanercept rather than current therapy of non-specific leukotoxic corticosteroids.
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Affiliation(s)
- Tonaye Hinton
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - David Karnak
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Ming Tang
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Ralph Jiang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Yi Luo
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Philip Boonstra
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Yilun Sun
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Derek J Nancarrow
- Department of Surgery, Division of Hematology-Oncology, Department of Internal Medicine, Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Erin Sandford
- Division of Hematology and Oncology, Department of Internal Medicine, Henry Ford Cancer Institute/Henry Ford Hospital, Detroit, MI, USA
| | - Paramita Ray
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Christopher Maurino
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Martha Matuszak
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Matthew J Schipper
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA; Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Michael D Green
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Gregory A Yanik
- Division of Hematology and Oncology, Department of Internal Medicine, Henry Ford Cancer Institute/Henry Ford Hospital, Detroit, MI, USA
| | - Muneesh Tewari
- Division of Hematology and Oncology, Department of Internal Medicine, Henry Ford Cancer Institute/Henry Ford Hospital, Detroit, MI, USA
| | - Issam El Naqa
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Caitlin A Schonewolf
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Randall Ten Haken
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Shruti Jolly
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Theodore S Lawrence
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA
| | - Dipankar Ray
- Department of Radiation Oncology, Medical School, The University of Michigan Medical School, University of Michigan, Ann Arbor, MI 48109-2026, USA.
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22
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Tabernero P, Swamidoss I, Mayxay M, Khanthavong M, Phonlavong C, Vilayhong C, Sichanh C, Sengaloundeth S, Green MD, Newton PN. A random survey of the prevalence of falsified and substandard antibiotics in the Lao PDR. J Antimicrob Chemother 2022; 77:1770-1778. [PMID: 35137095 PMCID: PMC7614350 DOI: 10.1093/jac/dkab435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 10/19/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES In 2012, a stratified random survey, using mystery shoppers, was conducted to investigate the availability and quality of antibiotics sold to patients in the private sector in five southern provinces of the Lao People's Democratic Republic (Laos). METHODS A total of 147 outlets were sampled in 10 districts. The active pharmaceutical ingredient (API) content measurements for 909 samples, including nine APIs (amoxicillin, ampicillin, ceftriaxone, ciprofloxacin, doxycycline, ofloxacin, sulfamethoxazole, tetracycline and trimethoprim), were determined using HPLC. RESULTS All the analysed samples contained the stated API and we found no evidence for falsification. All except one sample had all the units tested with %API values between 75% and 125% of the content stated on the label. However, we identified the presence of substandard antibiotics: 19.6% (201/1025) of samples had their units outside the 90%-110% content of the label claim and 18.3% (188/1025) of the samples had units outside the International Pharmacopoeia/United States Pharmacopoeia assay (percentage of label claim) specifications. Trimethoprim had a high number of samples [51.6% (64)] with units below the limit range, followed by ceftriaxone [42.9% (3)] and sulfamethoxazole [34.7% (43)]. Doxycycline, ofloxacin and ciprofloxacin had the highest number of samples with high API content: 43.7% (38), 14.7% (10) and 11.8% (2), respectively. Significant differences in %API were found between stated countries of manufacture and stated manufacturers. CONCLUSIONS With the global threat of antimicrobial resistance on patient outcomes, greater understanding of the role of poor-quality antibiotics is needed. Substandard antibiotics will have reduced therapeutic efficacy, impacting public health and control of bacterial infections.
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Affiliation(s)
- Patricia Tabernero
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
- Public Health Unit, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Spain
| | - Isabel Swamidoss
- Division of Parasitic Diseases and Malaria, U.S. Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
- Centre for Tropical Medicine & Global Health, Nuf?eld Department of Medicine, Churchill Hospital, University of Oxford, Oxford, UK
- Institute of Research and Education Development, University of Health Sciences, Vientiane, Lao PDR
| | | | - Chindaphone Phonlavong
- Bureau of Food and Drug Inspection (BFDI), Ministry of Health, Government of the Lao PDR, Vientiane, Lao PDR
| | - Chanthala Vilayhong
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Chanvilay Sichanh
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Sivong Sengaloundeth
- Food and Drug Department (FDD), Ministry of Health, Government of the Lao PDR, Vientiane, Lao PDR
| | - Michael D. Green
- Division of Parasitic Diseases and Malaria, U.S. Centers for Disease Control and Prevention (CDC), Atlanta, Georgia, USA
| | - Paul N. Newton
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
- Centre for Tropical Medicine & Global Health, Nuf?eld Department of Medicine, Churchill Hospital, University of Oxford, Oxford, UK
- Infectious Diseases Data Observatory, Nuf?eld Department of Medicine, Churchill Hospital, University of Oxford, Oxford, UK
- Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine (LSHTM), London, UK
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23
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Li S, Yu J, Huber A, Kryczek I, Wang Z, Jiang L, Li X, Du W, Li G, Wei S, Vatan L, Szeliga W, Chinnaiyan AM, Green MD, Cieslik M, Zou W. Metabolism drives macrophage heterogeneity in the tumor microenvironment. Cell Rep 2022; 39:110609. [PMID: 35385733 PMCID: PMC9052943 DOI: 10.1016/j.celrep.2022.110609] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 01/04/2022] [Accepted: 03/11/2022] [Indexed: 12/18/2022] Open
Abstract
Tumor-associated macrophages (TAMs) are a major cellular component in the tumor microenvironment (TME). However, the relationship between the phenotype and metabolic pattern of TAMs remains poorly understood. We performed single-cell transcriptome profiling on hepatic TAMs from mice bearing liver metastatic tumors. We find that TAMs manifest high heterogeneity at the levels of transcription, development, metabolism, and function. Integrative analyses and validation experiments indicate that increased purine metabolism is a feature of TAMs with pro-tumor and terminal differentiation phenotypes. Like mouse TAMs, human TAMs are highly heterogeneous. Human TAMs with increased purine metabolism exhibit a pro-tumor phenotype and correlate with poor therapeutic efficacy to immune checkpoint blockade. Altogether, our work demonstrates that TAMs are developmentally, metabolically, and functionally heterogeneous and purine metabolism may be a key metabolic feature of a pro-tumor macrophage population.
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Affiliation(s)
- Shasha Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Computational Medicine and Bioinformatics, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Jiali Yu
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Amanda Huber
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Zhuwen Wang
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Long Jiang
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Xiong Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Wan Du
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Gaopeng Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Wojciech Szeliga
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Howard Hughes Medical Institute, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Michael D Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Computational Medicine and Bioinformatics, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA.
| | - Weiping Zou
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Graduate Program in Cancer Biology, University of Michigan School of Medicine, Ann Arbor, MI, USA.
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Bryant AK, Sankar K, Strohbehn GW, Zhao L, Elliott D, Daniel V, Ramnath N, Green MD. Timing of Adjuvant Durvalumab Initiation Is Not Associated With Outcomes in Stage III Non-small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2022; 113:60-65. [PMID: 35115216 PMCID: PMC9018488 DOI: 10.1016/j.ijrobp.2021.12.176] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 12/28/2021] [Accepted: 12/31/2021] [Indexed: 01/05/2023]
Abstract
PURPOSE It is unclear whether time from radiation therapy (RT) completion to durvalumab initiation influences the outcomes of stage III non-small cell lung cancer (NSCLC) treated with definitive chemoradiation and adjuvant durvalumab. METHODS AND MATERIALS Using the US Veterans Health Administration database, we retrospectively identified 728 patients with stage III NSCLC treated with definitive chemoradiation who started durvalumab within 120 days of radiation completion. Time between the last radiation treatment and first durvalumab infusion was analyzed in multivariable Cox regression models for the primary outcomes of progression-free survival (PFS) and overall survival (OS), adjusting for baseline patient and disease characteristics. The primary analysis used a 120-day landmark, measuring OS and PFS from 120 days after radiation completion. RESULTS Among 728 patients, the median time from RT completion to durvalumab start was 41 days (interquartile range 30-58). In multivariable Cox regression, time from RT completion to durvalumab start showed no association with PFS (adjusted hazard ratio [aHR] 1.01 per week, 95% confidence interval [CI] 0.98-1.04, P = .4) or OS (aHR 1.02 per week, 95% CI 0.98-1.06, P = .3). Starting durvalumab ≤14 days after RT was also not associated with improved PFS or OS. Results were robust in sensitivity analyses varying analytical technique. CONCLUSIONS Timing of durvalumab initiation up to 120 days after RT completion is not associated with PFS or OS in this real-world patient cohort.
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Affiliation(s)
- Alex K Bryant
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Kamya Sankar
- Division of Hematology Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Garth W Strohbehn
- Division of Hematology Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; VA Center for Clinical Management and Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Lili Zhao
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - David Elliott
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Victoria Daniel
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan
| | - Nithya Ramnath
- Division of Hematology Oncology, Department of Internal Medicine, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
| | - Michael D Green
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan, Ann Arbor, Michigan; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan.
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25
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Sankar K, Bryant AK, Strohbehn GW, Zhao L, Elliott D, Moghanaki D, Kelley MJ, Ramnath N, Green MD. Real World Outcomes versus Clinical Trial Results of Durvalumab Maintenance in Veterans with Stage III Non-Small Cell Lung Cancer. Cancers (Basel) 2022; 14:cancers14030614. [PMID: 35158881 PMCID: PMC8833364 DOI: 10.3390/cancers14030614] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/22/2022] [Accepted: 01/24/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary The standard of care for patients with stage III non-small cell lung cancer is concurrent chemoradiotherapy followed by maintenance durvalumab based on outcomes from the PACIFIC trial. The efficacy of this regimen in a real-world population has not been extensively studied. We found that the addition of durvalumab has significantly improved both progression-free and overall survival in veterans with stage III non-small cell lung cancer as compared to veterans who received concurrent chemoradiotherapy alone, but overall survival of veterans is reduced compared to patients in the PACIFIC trial. Additional studies will need to be performed to understand this efficacy-effectiveness gap. Abstract One year of durvalumab following concurrent chemoradiotherapy improves progression-free (PFS) and overall survival (OS) for patients with stage III non-small cell lung cancer (NSCLC). However, the real-world efficacy of durvalumab has not been determined. We conducted a multi-center observational cohort study across the Veterans Health Administration, including patients with stage III NSCLC who received concurrent chemoradiotherapy and durvalumab, compared to patients who received concurrent chemoradiotherapy alone. Kaplan–Meier and Cox regression approaches were used to identify factors associated with PFS and OS. We calculated a hazard ratio and efficacy-effectiveness factor to compare OS of veterans to the referenced clinical trial population. A total of 1006 patients with stage III NSCLC who received concurrent chemoradiotherapy and at least one dose of durvalumab from November 2017 to April 2021 were compared to 989 patients who received concurrent chemoradiotherapy alone from January 2015 to December 2016. Adjuvant durvalumab was associated with higher PFS (HR 0.62, 95% CI 0.55–0.70, p < 0.001) and OS (HR 0.57, 95% CI 0.50–0.66, p < 0.001). OS was shorter in veterans compared to PACIFIC (HR 1.24, 95% CI 1.03–1.48, p = 0.02: EE gap 0.73). OS of veterans with stage III NSCLC treated with adjuvant durvalumab is improved compared to a modern comparator but is reduced compared to the PACIFIC population.
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Affiliation(s)
- Kamya Sankar
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA;
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
| | - Alex K. Bryant
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Garth W. Strohbehn
- Section of Hematology and Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA;
| | - Lili Zhao
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA
| | - David Elliott
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Drew Moghanaki
- Department of Radiation Oncology, UCLA Jonsson Cancer Center, Los Angeles, CA 90024, USA;
| | - Michael J. Kelley
- Department of Veterans Affairs, Durham VA Medical Center, Durham, NC 27705, USA;
- Medical Oncology, Department of Medicine, Duke Medical Center, Durham, NC 27710, USA
| | - Nithya Ramnath
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA;
- Section of Hematology and Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA;
- Correspondence: (N.R.); (M.D.G.); Tel.: +1-734-232-6789 (N.R.); +1-734-763-1512 (M.D.G.)
| | - Michael D. Green
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA; (A.K.B.); (L.Z.); (D.E.)
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
- Correspondence: (N.R.); (M.D.G.); Tel.: +1-734-232-6789 (N.R.); +1-734-763-1512 (M.D.G.)
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26
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Bryant AK, Sankar K, Strohbehn GW, Zhao L, Elliott D, Qin A, Yentz S, Ramnath N, Green MD. Prognostic and predictive value of neutrophil-to-lymphocyte ratio with adjuvant immunotherapy in stage III non-small-cell lung cancer. Lung Cancer 2022; 163:35-41. [PMID: 34896803 PMCID: PMC8770596 DOI: 10.1016/j.lungcan.2021.11.021] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/25/2021] [Accepted: 11/29/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND Elevated pre-treatment neutrophil-to-lymphocyte ratio (NLR) may reflect immune dysfunction and is negatively prognostic in cancer patients treated with immunotherapy, but it is unclear if NLR is predictive of immunotherapy benefit. METHODS We identified stage III non-small-cell lung cancer (NSCLC) patients treated with definitive chemoradiation and adjuvant durvalumab within the national Veterans Affairs system from 2017 to 2021. We compared the prognostic value of NLR measured before durvalumab start to a control group of stage III NSCLC patients treated with definitive chemoradiation alone from 2015 to 2016 (no-durvalumab group) before the approval of adjuvant durvalumab. We estimated the predictive value of NLR through the statistical interaction of durvalumab group by NLR level. Outcomes included progression-free survival (PFS) and overall survival (OS). RESULTS The primary analysis for NLR included 821 durvalumab patients and 445 no-durvalumab patients. Higher NLR was associated with inferior PFS in both groups (no-durvalumab: adjusted HR [aHR] 1.14 per 7.43 unit increase in NLR, 95% confidence interval [CI] 1.06-1.23; durvalumab: aHR 1.42, 95% CI 1.23-1.64), though this effect was greater in durvalumab patients (p for interaction = 0.009). Similar results were found for OS (no-durvalumab: aHR 1.16, 95% CI 1.09-1.24; durvalumab: aHR 1.48, 95% CI 1.25-1.76; p for interaction = 0.010). Absolute lymphocytes, eosinophils, and basophils were not prognostic in either group. Estimates of durvalumab treatment efficacy suggested declining efficacy with higher NLR. CONCLUSION Pre-treatment NLR is especially prognostic among stage III NSCLC patients treated with adjuvant immunotherapy compared to control patients treated without immunotherapy and may be a predictive biomarker of immunotherapy benefit.
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Affiliation(s)
- Alex K Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Kamya Sankar
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Garth W Strohbehn
- Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; VA Center for Clinical Management and Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Lili Zhao
- Department of Biostatistics, Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | - David Elliott
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Angel Qin
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Sarah Yentz
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Nithya Ramnath
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA; Section of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA.
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA; Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA; Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA; Department of Microbiology and Immunology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan School of Medicine, Ann Arbor, MI, USA.
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Huppert LA, Green MD, Kim L, Chow C, Leyfman Y, Daud AI, Lee JC. Tissue-specific Tregs in cancer metastasis: opportunities for precision immunotherapy. Cell Mol Immunol 2022; 19:33-45. [PMID: 34417572 PMCID: PMC8752797 DOI: 10.1038/s41423-021-00742-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 06/28/2021] [Indexed: 12/27/2022] Open
Abstract
Decades of advancements in immuno-oncology have enabled the development of current immunotherapies, which provide long-term treatment responses in certain metastatic cancer patients. However, cures remain infrequent, and most patients ultimately succumb to treatment-refractory metastatic disease. Recent insights suggest that tumors at certain organ sites exhibit distinctive response patterns to immunotherapy and can even reduce antitumor immunity within anatomically distant tumors, suggesting the activation of tissue-specific immune tolerogenic mechanisms in some cases of therapy resistance. Specialized immune cells known as regulatory T cells (Tregs) are present within all tissues in the body and coordinate the suppression of excessive immune activation to curb autoimmunity and maintain immune homeostasis. Despite the high volume of research on Tregs, the findings have failed to reconcile tissue-specific Treg functions in organs, such as tolerance, tissue repair, and regeneration, with their suppression of local and systemic tumor immunity in the context of immunotherapy resistance. To improve the understanding of how the tissue-specific functions of Tregs impact cancer immunotherapy, we review the specialized role of Tregs in clinically common and challenging organ sites of cancer metastasis, highlight research that describes Treg impacts on tissue-specific and systemic immune regulation in the context of immunotherapy, and summarize ongoing work reporting clinically feasible strategies that combine the specific targeting of Tregs with systemic cancer immunotherapy. Improved knowledge of Tregs in the framework of their tissue-specific biology and clinical sites of organ metastasis will enable more precise targeting of immunotherapy and have profound implications for treating patients with metastatic cancer.
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Affiliation(s)
- Laura A Huppert
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA
- Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Luke Kim
- University of California, San Francisco School of Medicine, San Francisco, CA, USA
| | - Christine Chow
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yan Leyfman
- Penn State College of Medicine, Hershey, PA, USA
| | - Adil I Daud
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - James C Lee
- Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
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28
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Lee JC, Green MD, Huppert LA, Chow C, Pierce RH, Daud AI. The Liver-Immunity Nexus and Cancer Immunotherapy. Clin Cancer Res 2022; 28:5-12. [PMID: 34285059 PMCID: PMC8897983 DOI: 10.1158/1078-0432.ccr-21-1193] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/24/2021] [Accepted: 07/16/2021] [Indexed: 01/03/2023]
Abstract
The impact of liver metastases on immune checkpoint-inhibitor effectiveness in patients with solid-tumor malignancies has been the focus of several recent clinical and translational studies. We review the literature describing the immune functions of the liver and particularly the mechanistic observations in these studies. The initial clinical observation was that pembrolizumab appeared to be much less effective in melanoma and non-small cell lung cancer (NSCLC) patients with liver metastasis. Subsequently other clinical studies have extended and reported similar findings with programmed death-1 (PD-1) and programmed death ligand-1 (PD-L1) inhibitors in many cancers. Two recent translational studies in animal models have dissected the mechanism of this systemic immune suppression. In both studies CD11b+ suppressive macrophages generated by liver metastasis in a two-site MC38 model appear to delete CD8+ T cells in a FasL-dependent manner. In addition, regulatory T-cell (Treg) activation was observed and contributed to the distal immunosuppression. Finally, we discuss some of the interventions reported to address liver immune suppression, such as radiation therapy, combination checkpoint blockade, and Treg depletion.
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Affiliation(s)
- James C. Lee
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California.,Parker Institute for Cancer Immunotherapy, San Francisco,
California
| | - Michael D. Green
- Department of Radiation Oncology, Michigan Medicine,
University of Michigan, Ann Arbor, Michigan.,Veterans Affairs Ann Arbor Healthcare System, U.S.
Department of Veterans Affairs, Ann Arbor, Michigan
| | - Laura A. Huppert
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California
| | - Christine Chow
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California
| | | | - Adil I. Daud
- Divisions of Hematology and Medical Oncology, Department of
Medicine, University of California San Francisco, San Francisco, California.,Parker Institute for Cancer Immunotherapy, San Francisco,
California
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29
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Parsels LA, Zhang Q, Karnak D, Parsels JD, Lam K, Willers H, Green MD, Rehemtulla A, Lawrence TS, Morgan MA. Translation of DNA Damage Response Inhibitors as Chemoradiation Sensitizers From the Laboratory to the Clinic. Int J Radiat Oncol Biol Phys 2021; 111:e38-e53. [PMID: 34348175 PMCID: PMC8602768 DOI: 10.1016/j.ijrobp.2021.07.1708] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 07/23/2021] [Indexed: 12/25/2022]
Abstract
Combination therapies with agents targeting the DNA damage response (DDR) offer an opportunity to selectively enhance the therapeutic index of chemoradiation or eliminate use of chemotherapy altogether. The successful translation of DDR inhibitors to clinical use requires investigating both their direct actions as (chemo)radiosensitizers and their potential to stimulate tumor immunogenicity. Beginning with high-throughput screening using both viability and DNA damage-reporter assays, followed by validation in gold-standard radiation colony-forming assays and in vitro assessment of mechanistic effects on the DDR, we describe proven strategies and methods leading to the clinical development of DDR inhibitors both with radiation alone and in combination with chemoradiation. Beyond these in vitro studies, we discuss the impact of key features of human xenograft and syngeneic mouse models on the relevance of in vivo tumor efficacy studies, particularly with regard to the immunogenic effects of combined therapy with radiation and DDR inhibitors. Finally, we describe recent technological advances in radiation delivery (using the small animal radiation research platform) that allow for conformal, clinically relevant radiation therapy in mouse models. This overall approach is critical to the successful clinical development and ultimate Food and Drug Administration approval of DDR inhibitors as (chemo)radiation sensitizers.
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Affiliation(s)
- Leslie A Parsels
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - Qiang Zhang
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - David Karnak
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - Joshua D Parsels
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - Kwok Lam
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - Henning Willers
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - Alnawaz Rehemtulla
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - Theodore S Lawrence
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan
| | - Meredith A Morgan
- Department of Radiation Oncology, University of Michigan Medical School and Rogel Cancer Center, Ann Arbor, Michigan.
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30
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Chow A, Schad S, Green MD, Hellmann MD, Allaj V, Ceglia N, Zago G, Shah NS, Sharma SK, Mattar M, Chan J, Rizvi H, Zhong H, Liu C, Bykov Y, Zamarin D, Shi H, Budhu S, Wohlhieter C, Uddin F, Gupta A, Khodos I, Waninger JJ, Qin A, Markowitz GJ, Mittal V, Balachandran V, Durham JN, Le DT, Zou W, Shah SP, McPherson A, Panageas K, Lewis JS, Perry JSA, de Stanchina E, Sen T, Poirier JT, Wolchok JD, Rudin CM, Merghoub T. Tim-4 + cavity-resident macrophages impair anti-tumor CD8 + T cell immunity. Cancer Cell 2021; 39:973-988.e9. [PMID: 34115989 PMCID: PMC9115604 DOI: 10.1016/j.ccell.2021.05.006] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 03/26/2021] [Accepted: 05/14/2021] [Indexed: 12/15/2022]
Abstract
Immune checkpoint blockade (ICB) has been a remarkable clinical advance for cancer; however, the majority of patients do not respond to ICB therapy. We show that metastatic disease in the pleural and peritoneal cavities is associated with poor clinical outcomes after ICB therapy. Cavity-resident macrophages express high levels of Tim-4, a receptor for phosphatidylserine (PS), and this is associated with reduced numbers of CD8+ T cells with tumor-reactive features in pleural effusions and peritoneal ascites from patients with cancer. We mechanistically demonstrate that viable and cytotoxic anti-tumor CD8+ T cells upregulate PS and this renders them susceptible to sequestration away from tumor targets and proliferation suppression by Tim-4+ macrophages. Tim-4 blockade abrogates this sequestration and proliferation suppression and enhances anti-tumor efficacy in models of anti-PD-1 therapy and adoptive T cell therapy in mice. Thus, Tim-4+ cavity-resident macrophages limit the efficacy of immunotherapies in these microenvironments.
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Affiliation(s)
- Andrew Chow
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA
| | - Sara Schad
- Weill Cornell Medical College, New York, NY, USA
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan Rogel Cancer Center and Veterans Affairs Ann Arbor Healthcare System, MI, USA
| | - Matthew D Hellmann
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA; Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Viola Allaj
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nicholas Ceglia
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Giulia Zago
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nisargbhai S Shah
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sai Kiran Sharma
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marissa Mattar
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph Chan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hira Rizvi
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hong Zhong
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cailian Liu
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yonina Bykov
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dmitriy Zamarin
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA
| | - Hongyu Shi
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sadna Budhu
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Fathema Uddin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aditi Gupta
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Inna Khodos
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jessica J Waninger
- Department of Medical Education, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Angel Qin
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | | | - Vivek Mittal
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Vinod Balachandran
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jennifer N Durham
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dung T Le
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Weiping Zou
- Departments of Surgery and Pathology, Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Sohrab P Shah
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew McPherson
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Katherine Panageas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jason S Lewis
- Weill Cornell Medical College, New York, NY, USA; Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Justin S A Perry
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Antitumor Assessment Core Facility, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Triparna Sen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA; Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John T Poirier
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Jedd D Wolchok
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA; Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charles M Rudin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA; Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Taha Merghoub
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Weill Cornell Medical College, New York, NY, USA; Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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31
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Yu H, Lam KO, Green MD, Wu H, Yang L, Wang W, Jin J, Hu C, Wang Y, Jolly S, (Spring) Kong FM. Significance of radiation esophagitis: Conditional survival assessment in patients with non-small cell lung cancer. Journal of the National Cancer Center 2021. [DOI: 10.1016/j.jncc.2021.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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32
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Zhao K, Zhang Q, Flanagan SA, Lang X, Jiang L, Parsels LA, Parsels JD, Zou W, Lawrence TS, Buisson R, Green MD, Morgan MA. Cytidine Deaminase APOBEC3A Regulates PD-L1 Expression in Cancer Cells in a JNK/c-JUN-Dependent Manner. Mol Cancer Res 2021; 19:1571-1582. [PMID: 34045311 DOI: 10.1158/1541-7786.mcr-21-0219] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/21/2021] [Accepted: 05/21/2021] [Indexed: 11/16/2022]
Abstract
Programmed death-ligand 1 (PD-L1) promotes tumor immune evasion by engaging the PD-1 receptor and inhibiting T-cell activity. While the regulation of PD-L1 expression is not fully understood, its expression is associated with tumor mutational burden and response to immune checkpoint therapy. Here, we report that Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3A (APOBEC3A) is an important regulator of PD-L1 expression. Using an APOBEC3A inducible expression system as well as siRNA against endogenous APOBEC3A, we found that APOBEC3A regulates PD-L1 mRNA and protein levels as well as PD-L1 cell surface expression in cancer. Mechanistically, APOBEC3A-induced PD-L1 expression was dependent on APOBEC3A catalytic activity as catalytically dead APOBEC3A mutant (E72A) failed to induce PD-L1 expression. Furthermore, APOBEC3A-induced PD-L1 expression was dependent on replication-associated DNA damage and JNK/c-JUN signaling but not interferon signaling. In addition, we confirmed the relevance of these finding in patient tumors as APOBEC3A expression and mutational signature correlated with PD-L1 expression in multiple patient cancer types. These data provide a novel link between APOBEC3A, its DNA mutagenic activity and PD-L1-mediated antitumoral immunity. This work nominates APOBEC3A as a mechanism of immune evasion and a potential biomarker for the therapeutic efficacy of immune checkpoint blockade. IMPLICATIONS: APOBEC3A catalytic activity induces replication-associated DNA damage to promote PD-L1 expression implying that APOBEC3A-driven mutagenesis represents both a mechanism of tumor immune evasion and a therapeutically targetable vulnerability in cancer cells.
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Affiliation(s)
- Kailiang Zhao
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Qiang Zhang
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Sheryl A Flanagan
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Xueting Lang
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Long Jiang
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Leslie A Parsels
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Joshua D Parsels
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Weiping Zou
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan School of Medicine, Ann Arbor, Michigan.,Department of Surgery, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan.,Department of Pathology, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan.,Graduate Program in Immunology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Graduate Program in Cancer Biology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Theodore S Lawrence
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Rémi Buisson
- Department of Biological Chemistry, Center for Epigenetics and Metabolism, Chao Family Comprehensive Cancer Center, University of California, Irvine, California.,Department of Pharmaceutical Sciences, School of Pharmacy & Pharmaceutical Sciences, University of California Irvine, Irvine, California
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan. .,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan School of Medicine, Ann Arbor, Michigan.,Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Meredith A Morgan
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan.
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33
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Qin A, Zhao S, Miah A, Wei L, Patel S, Johns A, Grogan M, Bertino EM, He K, Shields PG, Kalemkerian GP, Gadgeel SM, Ramnath N, Schneider BJ, Hassan KA, Szerlip N, Chopra Z, Journey S, Waninger J, Spakowicz D, Carbone DP, Presley CJ, Otterson GA, Green MD, Owen DH. Bone Metastases, Skeletal-Related Events, and Survival in Patients With Metastatic Non-Small Cell Lung Cancer Treated With Immune Checkpoint Inhibitors. J Natl Compr Canc Netw 2021; 19:915-921. [PMID: 33878726 DOI: 10.6004/jnccn.2020.7668] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Accepted: 10/07/2020] [Indexed: 11/17/2022]
Abstract
BACKGROUND Bone metastases and skeletal-related events (SREs) are a frequent cause of morbidity in patients with metastatic non-small cell lung cancer (mNSCLC). Data are limited on bone metastases and SREs in patients with mNSCLC treated using immune checkpoint inhibitors (ICIs), and on the efficacy of bone-modifying agents (BMAs) in this setting. Here we report the incidence, impact on survival, risk factors for bone metastases and SREs, and impact of BMAs in patients with mNSCLC treated with ICIs in a multi-institutional cohort. PATIENTS AND METHODS We conducted a retrospective study of patients with mNSCLC treated with ICIs at 2 tertiary care centers from 2014 through 2017. Overall survival (OS) was compared between patients with and without baseline bone metastases using a log-rank test. A Cox regression model was used to evaluate the association between OS and the presence of bone metastases at ICI initiation, controlling for other confounding factors. RESULTS We identified a cohort of 330 patients who had received ICIs for metastatic disease. Median patient age was 63 years, most patients were treated in the second line or beyond (n=259; 78%), and nivolumab was the most common ICI (n=211; 64%). Median OS was 10 months (95% CI, 8.4-12.0). In our cohort, 124 patients (38%) had baseline bone metastases, and 43 (13%) developed SREs during or after ICI treatment. Patients with bone metastases had a higher hazard of death after controlling for performance status, histology, line of therapy, and disease burden (hazard ratio, 1.57; 95% CI, 1.19-2.08; P=.001). Use of BMAs was not associated with OS or a decreased risk of SREs. CONCLUSIONS Presence of bone metastases at baseline was associated with a worse prognosis for patients with mNSCLC treated with ICI after controlling for multiple clinical characteristics. Use of BMAs was not associated with reduced SREs or a difference in survival.
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Affiliation(s)
- Angel Qin
- Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | | | | | | | - Sandipkumar Patel
- Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | - Andrew Johns
- Department of Internal Medicine, The Ohio State University, Columbus, Ohio
| | | | | | - Kai He
- Division of Medical Oncology, and
| | | | | | - Shirish M Gadgeel
- Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.,Division of Hematology and Oncology, Henry Ford Cancer Center, Detroit, Michigan
| | - Nithya Ramnath
- Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Bryan J Schneider
- Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan
| | - Khaled A Hassan
- Division of Hematology and Oncology, University of Michigan, Ann Arbor, Michigan.,Department of Hematology and Oncology, Cleveland Clinic, Cleveland, Ohio; and
| | | | | | | | | | | | | | | | | | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
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Zhang Q, Jiang L, Zheng Y, Lawrence T, Sahai V, Green MD, Morgan M. Abstract PO-046: Combining PARP inhibition with radiation to sensitize homologous recombination proficient pancreatic cancer to immunotherapy. Clin Cancer Res 2021. [DOI: 10.1158/1557-3265.radsci21-po-046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Pancreatic cancer is notoriously resistant to most cancer therapeutics including immunotherapy. We have previously shown that inhibition of the DNA damage response (DDR) enhances radiation-induced Type I interferon (T1IFN) and sensitizes pancreatic cancers to immunotherapy. In this study, we investigated the efficacy of radiation in combination with the poly (ADP-ribose) polymerase (PARP)inhibitor olaparib and programmed death ligand 1 (PD-L1) immune checkpoint blockade in otherwise resistant homologous recombination (HR) proficient pancreatic cancer. Initial studies demonstrated, in contrast to olaparib alone, that the combination of olaparib and radiation induced innate immune signaling in HR proficient pancreatic cancer cells marked by increases in pTBK1, T1IFN and pSTAT1. In animal tumor models, we found that the therapeutic efficacy of olaparib and radiation was greater in immune competent versus immune deficient hosts. In addition to the positive immune effects of olaparib and radiation, we also observed increased expression of PD-L1, a negative immune regulatory mechanism that likely restrains T1IFN-mediated innate immunity. We therefore went on to test the combined efficacy of PD-L1 blocking antibody with olaparib and radiation in syngeneic pancreatic tumor models. We found that monotherapy was ineffective in controlling tumor growth while doublet therapy with olaparib and radiation produced an intermediate tumor growth response. Importantly, maximal tumor growth inhibition was achieved following combined treatment with olaparib, radiation, and anti-PD-L1 which was significant relative to doublet therapy with olaparib-radiation or anti-PD-L1-radiation, and associated with a 20% complete response rate. Given that advances in therapy of pancreatic cancer require improvements in both local and systemic disease control, we examined the efficacy of combined therapy against tumors outside of the radiation field. In addition to the effects on tumors in the radiation field, we found that combined therapy with olaparib, radiation and anti-PD-L1 significantly delayed the growth of contralateral tumors outside of the radiation field, suggesting an adaptive immune response. Taken together, these studies illustrate the potential efficacy of combined therapy with olaparib, radiation, and anti-PD-L1 on both local and systemic pancreatic cancer and support our proposed clinical trial in patients with pancreatic cancer.
Citation Format: Qiang Zhang, Long Jiang, Yawen Zheng, Theodore Lawrence, Vaibhav Sahai, Michael D. Green, Meredith Morgan. Combining PARP inhibition with radiation to sensitize homologous recombination proficient pancreatic cancer to immunotherapy [abstract]. In: Proceedings of the AACR Virtual Special Conference on Radiation Science and Medicine; 2021 Mar 2-3. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(8_Suppl):Abstract nr PO-046.
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35
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Lin H, Kryczek I, Li S, Green MD, Ali A, Hamasha R, Wei S, Vatan L, Szeliga W, Grove S, Li X, Li J, Wang W, Yan Y, Choi JE, Li G, Bian Y, Xu Y, Zhou J, Yu J, Xia H, Wang W, Alva A, Chinnaiyan AM, Cieslik M, Zou W. Stanniocalcin 1 is a phagocytosis checkpoint driving tumor immune resistance. Cancer Cell 2021; 39:480-493.e6. [PMID: 33513345 PMCID: PMC8044011 DOI: 10.1016/j.ccell.2020.12.023] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 12/16/2020] [Accepted: 12/23/2020] [Indexed: 12/31/2022]
Abstract
Immunotherapy induces durable clinical responses in a fraction of patients with cancer. However, therapeutic resistance poses a major challenge to current immunotherapies. Here, we identify that expression of tumor stanniocalcin 1 (STC1) correlates with immunotherapy efficacy and is negatively associated with patient survival across diverse cancer types. Gain- and loss-of-function experiments demonstrate that tumor STC1 supports tumor progression and enables tumor resistance to checkpoint blockade in murine tumor models. Mechanistically, tumor STC1 interacts with calreticulin (CRT), an "eat-me" signal, and minimizes CRT membrane exposure, thereby abrogating membrane CRT-directed phagocytosis by antigen-presenting cells (APCs), including macrophages and dendritic cells. Consequently, this impairs APC capacity of antigen presentation and T cell activation. Thus, tumor STC1 inhibits APC phagocytosis and contributes to tumor immune evasion and immunotherapy resistance. We suggest that STC1 is a previously unappreciated phagocytosis checkpoint and targeting STC1 and its interaction with CRT may sensitize to cancer immunotherapy.
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Affiliation(s)
- Heng Lin
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Ilona Kryczek
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Shasha Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Computational Medicine & Bioinformatics, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Michael D Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Radiation Oncology and Veterans Affairs Ann Arbor Healthcare System, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Alicia Ali
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Reema Hamasha
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Linda Vatan
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Wojciech Szeliga
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Sara Grove
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Xiong Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Jing Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Weichao Wang
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Yijian Yan
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Jae Eun Choi
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Gaopeng Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Yingjie Bian
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Ying Xu
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Jiajia Zhou
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Jiali Yu
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Houjun Xia
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Weimin Wang
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Ajjai Alva
- Department of Internal Medicine, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Howard Hughes Medical Institute, University of Michigan, Ann Arbor, MI, USA; Department of Urology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Marcin Cieslik
- Department of Computational Medicine & Bioinformatics, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Weiping Zou
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, MI, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, MI, USA; Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Graduate Program in Immunology, University of Michigan School of Medicine, Ann Arbor, MI, USA; Graduate Program in Cancer Biology, University of Michigan School of Medicine, Ann Arbor, MI, USA.
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Waninger JJ, Ma VT, Journey S, Skvarce J, Chopra Z, Tezel A, Bryant AK, Mayo C, Sun Y, Sankar K, Ramnath N, Lao C, Sussman JB, Fecher L, Alva A, Green MD. Validation of the American Joint Committee on Cancer Eighth Edition Staging of Patients With Metastatic Cutaneous Melanoma Treated With Immune Checkpoint Inhibitors. JAMA Netw Open 2021; 4:e210980. [PMID: 33687443 PMCID: PMC7944385 DOI: 10.1001/jamanetworkopen.2021.0980] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
IMPORTANCE Immune checkpoint inhibitors (ICIs) have transformed the survival of patients with metastatic melanoma. Patient prognosis is reflected by the American Joint Committee on Cancer (AJCC) staging system; however, it is unknown whether the metastatic (M) stage categories for cutaneous melanoma remain informative of prognosis in patients who have received ICIs. OBJECTIVES To evaluate the outcomes of patients with metastatic cutaneous melanoma based on the M stage category from the AJCC eighth edition and to determine whether these designations continue to inform the prognosis of patients who have received ICIs. DESIGN, SETTING, AND PARTICIPANTS This cohort study included patients with metastatic cutaneous melanoma who were treated between August 2006 and August 2019 at the University of Michigan. The estimated median follow-up time was 35.5 months. Patient data were collected via the electronic medical record system. Critical findings were externally validated in a multicenter nationwide cohort of patients treated within the Veterans Affairs health care system. Data analysis was conducted from February 2020 to January 2021. EXPOSURES All patients were treated with dual-agent concurrent ipilimumab and nivolumab followed by maintenance nivolumab or single-agent ipilimumab, nivolumab, or pembrolizumab therapy. Patients were staged using the AJCC eighth edition. MAIN OUTCOMES AND MEASURES Univariable and multivariable analyses were used to assess the prognostic value of predefined clinicopathologic baseline factors on survival. RESULTS In a discovery cohort of 357 patients (mean [SD] age, 62.6 [14.2] years; 254 [71.1%] men) with metastatic cutaneous melanoma treated with ICIs, the M category in the AJCC eighth edition showed limited prognostic stratification by both univariable and multivariable analyses. The presence of liver metastases and elevated levels of serum lactate dehydrogenase (LDH) offered superior prognostic separation compared with the M category (liver metastases: hazard ratio, 2.22; 95% CI, 1.48-3.33; P < .001; elevated serum LDH: hazard ratio, 1.73; 95% CI, 1.16-2.58; P = .007). An updated staging system based on these factors was externally validated in a cohort of 652 patients (mean [SD] age, 67.9 [11.6] years; 630 [96.6%] men), with patients without liver metastases or elevated LDH levels having the longest survival (median overall survival, 30.7 months). CONCLUSIONS AND RELEVANCE This study found that the AJCC eighth edition M category was poorly reflective of prognosis in patients receiving ICIs. Future staging systems could consider emphasizing the presence of liver metastases and elevated LDH levels. Additional studies are needed to confirm the importance of these and other prognostic biomarkers.
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Affiliation(s)
- Jessica J. Waninger
- University of Michigan Medical School, University of Michigan, Ann Arbor
- Department of Cellular and Molecular Biology, University of Michigan, Ann Arbor
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor
| | - Vincent T. Ma
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor
| | - Sara Journey
- University of Michigan Medical School, University of Michigan, Ann Arbor
| | - Jeremy Skvarce
- University of Michigan Medical School, University of Michigan, Ann Arbor
| | - Zoey Chopra
- University of Michigan Medical School, University of Michigan, Ann Arbor
| | - Alangoya Tezel
- University of Michigan Medical School, University of Michigan, Ann Arbor
| | - Alex K. Bryant
- Department of Radiation Oncology, University of Michigan, Ann Arbor
| | - Charles Mayo
- Department of Radiation Oncology, University of Michigan, Ann Arbor
| | - Yilun Sun
- Department of Radiation Oncology, University of Michigan, Ann Arbor
- Department of Biostatistics, University of Michigan, Ann Arbor
| | - Kamya Sankar
- Rogel Cancer Center, University of Michigan, Ann Arbor
| | - Nithya Ramnath
- Rogel Cancer Center, University of Michigan, Ann Arbor
- Department of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Christopher Lao
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor
- Rogel Cancer Center, University of Michigan, Ann Arbor
| | - Jeremy B. Sussman
- Department of Medicine, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
- Center for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor
| | - Leslie Fecher
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor
- Rogel Cancer Center, University of Michigan, Ann Arbor
| | - Ajjai Alva
- Division of Hematology Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor
- Department of Hematology Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Michael D. Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor
- Rogel Cancer Center, University of Michigan, Ann Arbor
- Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan
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Ma VT, Su CT, Hu M, Taylor JMG, Daignault-Newton S, Kellezi O, Dahl MN, Shah MA, Erickson S, Lora J, Hamasha R, Ali A, Yancey S, Kiros L, Balicki HM, Winfield DC, Green MD, Alva AS. Characterization of outcomes in patients with advanced genitourinary malignancies treated with immune checkpoint inhibitors. Urol Oncol 2021; 39:437.e1-437.e9. [PMID: 33495117 DOI: 10.1016/j.urolonc.2021.01.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 12/13/2020] [Accepted: 01/04/2021] [Indexed: 12/11/2022]
Abstract
PURPOSE Several immune checkpoint inhibitors (ICIs) are FDA approved for treatment of genitourinary (GU) malignancies. We aim to determine demographic and clinicopathologic characteristics that significantly affect clinical outcomes in patients with advanced stage GU malignancies treated with ICIs. MATERIALS AND METHODS We performed a single-center, consecutive, retrospective cohort analysis on patients with metastatic or unresectable GU malignancies who were treated with ICIs at the University of Michigan. Immune-related adverse events (irAEs), putative immune-mediated allergies, and overall response rates (ORR) were assessed. Comorbidity index scores were calculated. Survival analysis was performed to evaluate progression-free survival (PFS) and overall survival (OS), stratifying and controlling for a variety of clinicopathologic baseline factors including site of metastases. RESULTS A total of 160 patients were identified with advanced renal cell carcinoma (RCC) or urothelial carcinoma. Median PFS and OS were 5.0 and 23.6 months for RCC, and 2.8 and 9.6 months for urothelial carcinoma, respectively. Patients who experienced increased frequency and higher grade irAEs had better ICI treatment response (P < 0.0001). Presence of liver metastases was associated with poor response to ICI therapy (P = 0.001). Multivariable modeling demonstrates that patients with urothelial carcinoma and liver metastases had statistically worse PFS and OS compared to patients with RCC or other sites of metastases, respectively. CONCLUSION Greater frequency and higher grades of irAEs are associated with better treatment response in patients with RCC and urothelial malignancy receiving ICI therapy. The presence of liver metastases denotes a negative predictive marker for immunotherapy efficacy. SUMMARY Immune checkpoint inhibitors (ICI) are increasingly used to treat genitourinary (GU) malignancies. However, clinical data regarding patients with advanced-stage GU malignancies treated with ICI is lacking. Thus, we performed a single-center, retrospective cohort study on patients with metastatic and unresectable renal cell carcinoma (RCC) and urothelial carcinoma who were treated with ICIs at the University of Michigan to provide demographic and clinicopathologic data regarding this population. We specifically focused on immune-related adverse events (irAEs), immune-mediated allergies, and the associated overall response rates (ORR). To better assess performance status, we calculated comorbidity scores for all patients. Finally, survival analyses for progression-free survival (PFS) and overall survival (OS) were performed using Kaplan-Meier analysis and Cox proportional hazards modeling, stratifying and controlling for clinicopathologic baseline factors, including sites of metastases, in our multivariable analysis. A total of 160 patients were identified with advanced RCC or urothelial carcinoma. We found decreased PFS (2.8 vs. 5.0 months) and decreased OS (9.8 vs. 23.6 months) for urothelial carcinoma compared to RCC patients. We noted that patients who experienced increased frequency and higher grades of irAEs had better treatment ORR with ICI therapy (P ≤ 0.0001). The presence of liver metastases was associated with worse ORR (P = 0.001), PFS (P = 0.0014), and OS (P = 0.0028) compared to other sites of metastases including lymph node, lung, and CNS/bone. The poor PFS and OS associated with urothelial carcinoma and liver metastases were preserved in our multivariable modeling after controlling for pertinent clinical factors. We conclude that greater frequency and higher grades of irAEs are associated with better treatment response in GU malignancy patients receiving ICI, a finding that is consistent with published studies in other cancers. The presence of liver metastases represents a significantly poor predictive marker in GU malignancy treated with ICI. Our findings contribute to the growing body of literature that seeks to understand the clinicopathologic variables and outcomes associated with ICI therapy.
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Affiliation(s)
- Vincent T Ma
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI.
| | - Christopher T Su
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI
| | - Miriam Hu
- Department of Biostatistics, University of Michigan, Ann Arbor, MI
| | | | | | - Olesia Kellezi
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI
| | - Megan N Dahl
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
| | - Miloni A Shah
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
| | - Stephanie Erickson
- Department of PreMedical PostBaccalaureate, University of Michigan, Ann Arbor, MI
| | - Jessica Lora
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
| | - Reema Hamasha
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI
| | - Alicia Ali
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI
| | - Sabrina Yancey
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
| | - Leah Kiros
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
| | - Hannah M Balicki
- College of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI
| | - Daniel C Winfield
- Department of PreMedical PostBaccalaureate, University of Michigan, Ann Arbor, MI
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI
| | - Ajjai S Alva
- Department of Internal Medicine, Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI
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Zaoutis T, Bhatnagar S, Black SI, Coffin SE, Coffin SE, Downes KJ, Fisher BT, Fisher BT, Gerber J, Green MD, Lautenbach E, Liston K, Martin J, Muniz G, Myers SR, O’Connor S, Rowley E, Shaikh N, Shope T, Hoberman A. 639. Short Course Therapy for Urinary Tract Infections (SCOUT) in Children. Open Forum Infect Dis 2020. [PMCID: PMC7777724 DOI: 10.1093/ofid/ofaa439.833] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background The AAP recommends 7 to 14-days of antimicrobials for the treatment of urinary tract infections (UTIs), one of the most common bacterial infections of childhood. However, most physicians routinely prescribe at least 10 days of therapy. Prior observational studies suggest that courses shorter than 10 days might be effective. Methods The primary objective was to determine if halting antimicrobial therapy in children who improved clinically after 5 days of therapy (short course therapy) results in a similar failure rate as children who continue antimicrobials for an additional 5 days (standard course therapy). This was a multi-center, randomized, double-blind, placebo-controlled non-inferiority clinical trial of children ages 2 to 10 years with UTI. Subjects treated with 1 of 5 antibiotics (trimethoprim-sulfamethoxazole, amoxicillin-clavulanate, cefixime, cefdinir or cephalexin) were eligible. Children were stratified by presence or absence of fever and were enrolled if they had clinical improvement before Day 5 of treatment. The a priori equivalence interval was set at 0.05 for a one-sided analysis. The primary outcome was development of a symptomatic UTI defined as the presence of symptoms, pyuria, and a positive urine culture. The Intent-to-Treat population included children who took at least one dose of study medication. Results A total of 693 children were randomized, 345 to short course and 348 to standard course. Median age was 4 years old (IQR; 2-6), 652 (96.3%) were female and 255 were febrile (37%). Treatment success rate was 322/336 (96%) for short course and 326/328 (99%) for standard course. The 95% upper CI limit for the difference was 0.054. Treatment failure was not related to age group, fever at presentation, antibiotic type, or study site. There were no significant differences between groups the in the rates of adverse events, recurrent infection, clinical symptoms that may have been related to UTI, or emergent antibiotic resistance. Conclusion In children aged 2 months to 10 years with UTI, halting antimicrobial therapy in children who had exhibited clinical improvement after 5 days and continuing for an additional 5 days both resulted in high success rates. However, short course was inferior to treatment for 10 days. Disclosures Kevin J. Downes, MD, Merck, Inc. (Grant/Research Support) Brian T. Fisher, DO, MPH, MSCE, Astellas (Advisor or Review Panel member)Merck (Grant/Research Support)Pfizer (Grant/Research Support)
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Affiliation(s)
| | - Sonika Bhatnagar
- UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | | | - Susan E Coffin
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Susan E Coffin
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Kevin J Downes
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Brian T Fisher
- Children’s Hospital of Philadelphia; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Brian T Fisher
- Children’s Hospital of Philadelphia; Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeffrey Gerber
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Michael D Green
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | | | - Kellie Liston
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | | | - Gysella Muniz
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Sage R Myers
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Shawn O’Connor
- Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania
| | | | - Nader Shaikh
- University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Timothy Shope
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Weslander E, Shovlin B, Green MD. 163. Automation of an Inpatient Provider Specific Antimicrobial Use Report. Open Forum Infect Dis 2020. [PMCID: PMC7777672 DOI: 10.1093/ofid/ofaa439.208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background The use of individual prescriber report cards has shown to be an effective strategy in optimizing antimicrobial use in the pediatric outpatient setting. This is more difficult in an inpatient setting with prescribing often being done by a resident, but the decisions regarding antimicrobials are often made by the attending physician. This concept was tackled at a tertiary children’s hospital but was a manual and time-consuming process. The purpose of this review is to compare provider specific antimicrobial use between a manual chart review and an automated report. Methods An automatic report was developed that calculates antimicrobial days of therapy per 1000 patient days for each Pediatric Intensive Care Unit (PICU) attending provider. The software used was Business Objects that interfaces with the Electronic Medical Record. The provider is attached to daily antimicrobial use based on the attending to write a note that day. The provider was attached to patient days based on the number of days per patient they wrote notes. Results One week including 96 patients was chart reviewed and compared to the automated report prospectively. The automatic report days of therapy and patient days per PICU provider were within 10% of the chart review. Two months of the previous manual chart review was compared to the same two months with the automated report, which was also within 10%. Average quarterly hospital PICU antimicrobial days of therapy per 1000 patient days during the calendar year of 2019 in the Pediatric Health Information System (PHIS) were compared quarterly to the automated report, which was also within 10%. Conclusion An automated report that connects the attending to antimicrobial orders by attaching it to the note writer was found to be comparable to manual chart review as well as an average of use for the PICU compared to the national database PHIS. This automation can help decrease workload and optimize efforts for specific interventions and education that can be distributed with the PICU attending antimicrobial use report. Disclosures All Authors: No reported disclosures
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Affiliation(s)
- Erin Weslander
- UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Brandon Shovlin
- UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania
| | - Michael D Green
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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Ma VT, Daignault-Newton S, Waninger JJ, Journey S, Chopra Z, Tezel A, Redman BG, Fecher LA, Green MD, Alva AS, Lao CD. The impact of BRAF mutation status on clinical outcomes with anti-PD-1 monotherapy versus combination ipilimumab/nivolumab in treatment-naïve advanced stage melanoma. Pigment Cell Melanoma Res 2020; 34:629-640. [PMID: 33128316 DOI: 10.1111/pcmr.12944] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 10/06/2020] [Accepted: 10/27/2020] [Indexed: 01/15/2023]
Abstract
Nearly half of all metastatic melanoma patients possess the BRAF V600 mutation. Several therapies are approved for advanced stage melanoma, but it is unclear if there is a differential outcome to various immunotherapy regimens based on BRAF mutation status. We retrospectively analyzed a cohort of metastatic or unresectable melanoma patients who were treated with combination ipilimumab/nivolumab (ipi/nivo) or anti-PD-1 monotherapy, nivolumab, or pembrolizumab, as first-line treatment. 235 previously untreated patients were identified in our study. Our univariate analysis showed no statistical difference in progression-free survival (PFS) or overall survival (OS) with ipi/nivo versus anti-PD-1 monotherapy in the BRAF V600 mutant cohort, but there was improved PFS [HR: 0.48, 95% CI, 0.28-0.80] and OS [HR: 0.50, 95% CI, 0.26-0.96] with ipi/nivo compared to anti-PD-1 monotherapy in the BRAF WT group. After adjusting for known prognostic variables in our multivariable analysis, the BRAF WT cohort continued to show PFS and OS benefit with ipi/nivo compared to anti-PD-1 monotherapy. Our single-institution analysis suggests ipi/nivo should be considered over anti-PD-1 monotherapy as the initial immunotherapy regimen for metastatic melanoma patients regardless of BRAF mutation status, but possibly with greater benefit in BRAF WT.
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Affiliation(s)
- Vincent T Ma
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | | | - Jessica J Waninger
- Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA.,Department of Medical Education, University of Michigan, Ann Arbor, MI, USA
| | - Sara Journey
- Department of Medical Education, University of Michigan, Ann Arbor, MI, USA
| | - Zoey Chopra
- Department of Medical Education, University of Michigan, Ann Arbor, MI, USA
| | - Alangoya Tezel
- Department of Medical Education, University of Michigan, Ann Arbor, MI, USA
| | - Bruce G Redman
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Leslie A Fecher
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
| | - Ajjai S Alva
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Christopher D Lao
- Division of Hematology and Oncology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA
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Green MD, Parker DM, Everett AD, Vricella L, Jacobs ML, Jacobs JP, Brown JR. Cardiac Biomarkers Associated With Hospital Length of Stay After Pediatric Congenital Heart Surgery. Ann Thorac Surg 2020; 112:632-637. [PMID: 32853571 DOI: 10.1016/j.athoracsur.2020.06.059] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Revised: 06/11/2020] [Accepted: 06/15/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Prolonged hospital length of stay after congenital heart surgery is a significant cost burden and is associated with postoperative morbidity. Our goal was to evaluate the association between pre- and postoperative biomarker levels and in-hospital length of stay for children after congenital heart surgery. METHODS We enrolled patients <18 years of age who underwent at least 1 congenital heart operation at Johns Hopkins Hospital from 2010 to 2014. Blood samples were collected before the index operation and at the end of the bypass. ST2 and N-terminal pro-brain natriuretic peptide (NT-proBNP) measurements were evaluated as log-transformed, median, and tercile cut-points. We evaluated the association between pre- and postoperative NT-proBNP and ST2 measurements with in-hospital postoperative length of stay using multivariate logistic regression. We adjusted for covariates used in The Society of Thoracic Surgeons Congenital Heart Surgery Mortality Risk Model. RESULTS In our cohort 45% of our patients had an in-hospital postoperative length of stay longer than the median. Before adjustment preoperative NT-proBNP above the population median and the highest tercile exhibited a significantly longer in-hospital length of stay. After adjustment for covariates in the risk model, pre- and postoperative ST2 and NT-proBNP demonstrated a significantly longer length of stay. CONCLUSIONS Perioperative ST2 and NT-proBNP had a significant association with increased postoperative in-hospital length of stay before and after adjustment. ST2 in particular could be used to guide an earlier assessment of patient risk for complications that may lead to adverse outcomes.
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Affiliation(s)
- Michael D Green
- Department of Epidemiology, Geisel School of Medicine, Lebanon, New Hampshire.
| | - Devin M Parker
- Department of Epidemiology, Geisel School of Medicine, Lebanon, New Hampshire
| | - Allen D Everett
- Division of Pediatric Cardiology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Luca Vricella
- Division of Pediatric Cardiology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Marshall L Jacobs
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Cardiovascular Surgery, Department of Surgery, Johns Hopkins All Children's Heart Institute, Johns Hopkins All Children's Hospital and Florida Hospital for Children, Saint Petersburg, Tampa, and Orlando, Florida
| | - Jeffrey P Jacobs
- Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland; Division of Cardiovascular Surgery, Department of Surgery, Johns Hopkins All Children's Heart Institute, Johns Hopkins All Children's Hospital and Florida Hospital for Children, Saint Petersburg, Tampa, and Orlando, Florida
| | - Jeremiah R Brown
- Department of Epidemiology, Geisel School of Medicine, Lebanon, New Hampshire; Department of Biomedical Data Science, Geisel School of Medicine, Lebanon, New Hampshire
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Tabernero P, Swamidoss I, Mayxay M, Khanthavong M, Phonlavong C, Vilayhong C, Yeuchaixiong S, Sichanh C, Sengaloundeth S, Green MD, Newton PN. A random survey of the prevalence of falsified and substandard antibiotics in the Lao PDR. J Antimicrob Chemother 2020; 74:2417-2425. [PMID: 31049576 PMCID: PMC6640311 DOI: 10.1093/jac/dkz164] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/18/2019] [Accepted: 03/24/2019] [Indexed: 11/14/2022] Open
Affiliation(s)
- Patricia Tabernero
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR.,Public Health Unit, Faculty of Medicine, University of Alcalá, Alcalá de Henares, Spain
| | - Isabel Swamidoss
- U.S. Centers for Disease Control and Prevention (CDC), Division of Parasitic Diseases and Malaria, Atlanta, GA, USA
| | - Mayfong Mayxay
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR.,Centre for Tropical Medicine & Global Health, Nuffield Research Building, Churchill Hospital, University of Oxford, Oxford, UK.,Institute of Research and Education Development, University of Health Sciences, Vientiane, Lao PDR
| | | | - Chindaphone Phonlavong
- Bureau of Food and Drug Inspection (BFDI), Ministry of Health, Government of the Lao PDR, Vientiane, Lao PDR
| | - Chanthala Vilayhong
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Sengchanh Yeuchaixiong
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR
| | - Chanvilay Sichanh
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR.,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK
| | - Sivong Sengaloundeth
- Food and Drug Department (FDD), Ministry of Health, Government of the Lao PDR, Vientiane, Lao PDR
| | - Michael D Green
- U.S. Centers for Disease Control and Prevention (CDC), Division of Parasitic Diseases and Malaria, Atlanta, GA, USA
| | - Paul N Newton
- Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory, Mahosot Hospital, Vientiane, Lao PDR.,WorldWide Antimalarial Resistance Network (WWARN), Oxford, UK.,Centre for Tropical Medicine & Global Health, Nuffield Research Building, Churchill Hospital, University of Oxford, Oxford, UK.,Infectious Diseases Data Observatory, Nuffield Research Building, Churchill Hospital, University of Oxford, Oxford, UK.,Faculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine (LSHTM), London, UK
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Jairath NK, Farha MW, Srinivasan S, Jairath R, Green MD, Dess RT, Jackson WC, Weiner AB, Schaeffer EM, Zhao SG, Feng FY, El Naqa I, Spratt DE. Tumor Immune Microenvironment Clusters in Localized Prostate Adenocarcinoma: Prognostic Impact of Macrophage Enriched/Plasma Cell Non-Enriched Subtypes. J Clin Med 2020; 9:jcm9061973. [PMID: 32599760 PMCID: PMC7356642 DOI: 10.3390/jcm9061973] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 06/11/2020] [Accepted: 06/23/2020] [Indexed: 12/24/2022] Open
Abstract
Background: Prostate cancer (PCa) is characterized by significant heterogeneity in its molecular, genomic, and immunologic characteristics. Methods: Whole transcriptome RNAseq data from The Cancer Genome Atlas of prostate adenocarcinomas (n = 492) was utilized. The immune microenvironment was characterized using the CIBERSORTX tool to identify immune cell type composition. Unsupervised hierarchical clustering was performed based on immune cell type content. Analyses of progression-free survival (PFS), distant metastases, and overall survival (OS) were performed using Kaplan–Meier estimates and Cox regression multivariable analyses. Results: Four immune clusters were identified, largely defined by plasma cell, CD4+ Memory Resting T Cells (CD4 MR), and M0 and M2 macrophage content (CD4 MRHighPlasma CellHighM0LowM2Mid, CD4 MRLowPlasma CellHighM0LowM2Low, CD4 MRHighPlasma CellLowM0HighM2Low, and CD4 MRHighPlasma CellLowM0LowM2High). The two macrophage-enriched/plasma cell non-enriched clusters (3 and 4) demonstrated worse PFS (HR 2.24, 95% CI 1.46–3.45, p = 0.0002) than the clusters 1 and 2. No metastatic events occurred in the plasma cell enriched, non-macrophage-enriched clusters. Comparing clusters 3 vs. 4, in patients treated by surgery alone, cluster 3 had zero progression events (p < 0.0001). However, cluster 3 patients had worse outcomes after post-operative radiotherapy (p = 0.018). Conclusion: Distinct tumor immune clusters with a macrophage-enriched, plasma cell non-enriched phenotype and reduced plasma cell enrichment independently characterize an aggressive phenotype in localized prostate cancer that may differentially respond to treatment.
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Affiliation(s)
- Neil K. Jairath
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - Mark W. Farha
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - Sudharsan Srinivasan
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - Ruple Jairath
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - Michael D. Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
- Veterans Affair Ann Arbor Healthcare System, University of Michigan, Ann Arbor, MI 48104, USA
| | - Robert T. Dess
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - William C. Jackson
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - Adam B. Weiner
- Department of Urology, Northwestern University, Chicago, IL 60611, USA; (A.B.W.); (E.M.S.)
| | - Edward M. Schaeffer
- Department of Urology, Northwestern University, Chicago, IL 60611, USA; (A.B.W.); (E.M.S.)
| | - Shuang G. Zhao
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - Felix Y. Feng
- Department of Radiation Oncology, UCSF, San Francisco, CA 94143, USA;
| | - Issam El Naqa
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
| | - Daniel E. Spratt
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48104, USA; (N.K.J.); (M.W.F.); (S.S.); (R.J.); (M.D.G.); (R.T.D.); (W.C.J.); (S.G.Z.); (I.E.N.)
- Correspondence: ; Tel.: +734-647-1372; Fax: +734-936-1900
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Li J, Wang W, Zhang Y, Cieślik M, Guo J, Tan M, Green MD, Wang W, Lin H, Li W, Wei S, Zhou J, Li G, Jing X, Vatan L, Zhao L, Bitler B, Zhang R, Cho KR, Dou Y, Kryczek I, Chan TA, Huntsman D, Chinnaiyan AM, Zou W. Epigenetic driver mutations in ARID1A shape cancer immune phenotype and immunotherapy. J Clin Invest 2020; 130:2712-2726. [PMID: 32027624 PMCID: PMC7190935 DOI: 10.1172/jci134402] [Citation(s) in RCA: 93] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 01/30/2020] [Indexed: 12/18/2022] Open
Abstract
Whether mutations in cancer driver genes directly affect cancer immune phenotype and T cell immunity remains a standing question. ARID1A is a core member of the polymorphic BRG/BRM-associated factor chromatin remodeling complex. ARID1A mutations occur in human cancers and drive cancer development. Here, we studied the molecular, cellular, and clinical impact of ARID1A aberrations on cancer immunity. We demonstrated that ARID1A aberrations resulted in limited chromatin accessibility to IFN-responsive genes, impaired IFN gene expression, anemic T cell tumor infiltration, poor tumor immunity, and shortened host survival in many human cancer histologies and in murine cancer models. Impaired IFN signaling was associated with poor immunotherapy response. Mechanistically, ARID1A interacted with EZH2 via its carboxyl terminal and antagonized EZH2-mediated IFN responsiveness. Thus, the interaction between ARID1A and EZH2 defines cancer IFN responsiveness and immune evasion. Our work indicates that cancer epigenetic driver mutations can shape cancer immune phenotype and immunotherapy.
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Affiliation(s)
- Jing Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Weichao Wang
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | | | - Marcin Cieślik
- Department of Pathology
- Department of Computational Medicine and Bioinformatics
- University of Michigan Rogel Cancer Center, and
| | - Jipeng Guo
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | | | - Michael D. Green
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Weimin Wang
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Heng Lin
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Wei Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Shuang Wei
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Jiajia Zhou
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Gaopeng Li
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | | | - Linda Vatan
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Lili Zhao
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Benjamin Bitler
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, Pennsylvania, USA
| | - Rugang Zhang
- Gene Expression and Regulation Program, The Wistar Institute, Philadelphia, Pennsylvania, USA
| | - Kathleen R. Cho
- Department of Pathology
- University of Michigan Rogel Cancer Center, and
| | - Yali Dou
- Department of Pathology
- University of Michigan Rogel Cancer Center, and
| | - Ilona Kryczek
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
| | - Timothy A. Chan
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - David Huntsman
- Department of Molecular Oncology, British Columbia Cancer, Vancouver, British Columbia, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Arul M. Chinnaiyan
- Department of Pathology
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Department of Urology
- Michigan Center for Translational Pathology
- Howard Hughes Medical Institute, and
| | - Weiping Zou
- Department of Surgery, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
- Department of Pathology
- University of Michigan Rogel Cancer Center, and
- Graduate Program in Immunology and Graduate Program in Cancer Biology, University of Michigan School of Medicine, Ann Arbor, Michigan, USA
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45
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Green MD, Hayman JA. Radiotherapy in the Multidisciplinary Management of Merkel Cell Carcinoma. J Natl Compr Canc Netw 2019; 16:776-781. [PMID: 29891527 DOI: 10.6004/jnccn.2018.7045] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/07/2018] [Indexed: 11/17/2022]
Abstract
The management of Merkel cell carcinoma (MCC) requires multidisciplinary care for optimal patient outcomes. Radiotherapy (RT) is most commonly used as adjuvant therapy to improve locoregional control in patients with MCC who undergo surgery. Additionally, it can sometimes be used as definitive monotherapy for patients who decline or are not candidates for surgery and as palliative treatment in those with metastatic MCC. This article discusses the indications, treatment considerations, and recommended dose prescriptions for RT in the management of early- and advanced-stage disease. Considerable hope exists that immunotherapy advances will synergize with RT to further enhance clinical outcomes.
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46
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Grassberger C, Huber K, Jacob NK, Green MD, Mahler P, Prisciandaro J, Dominello M, Joiner MC, Burmeister J. Three discipline collaborative radiation therapy (3DCRT) special debate: The single most important factor in determining the future of SBRT is immune response. J Appl Clin Med Phys 2019; 20:6-12. [PMID: 31573143 PMCID: PMC6807212 DOI: 10.1002/acm2.12728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 08/29/2019] [Accepted: 09/04/2019] [Indexed: 12/26/2022] Open
Affiliation(s)
| | - Kathryn Huber
- Department of Radiation OncologyTufts Medical CenterBostonMAUSA
| | | | - Michael D. Green
- Department of Radiation OncologyUniversity of MichiganAnn ArborMIUSA
| | - Peter Mahler
- Department of Human OncologyUniversity of WisconsinMadisonWIUSA
| | | | - Michael Dominello
- Department of OncologyWayne State University School of MedicineDetroitMIUSA
| | - Michael C. Joiner
- Department of OncologyWayne State University School of MedicineDetroitMIUSA
| | - Jay Burmeister
- Department of OncologyWayne State University School of MedicineDetroitMIUSA
- Gershenson Radiation Oncology CenterBarbara Ann Karmanos Cancer InstituteDetroitMIUSA
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47
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Lang X, Green MD, Wang W, Yu J, Choi JE, Jiang L, Liao P, Zhou J, Zhang Q, Dow A, Saripalli AL, Kryczek I, Wei S, Szeliga W, Vatan L, Stone EM, Georgiou G, Cieslik M, Wahl DR, Morgan MA, Chinnaiyan AM, Lawrence TS, Zou W. Radiotherapy and Immunotherapy Promote Tumoral Lipid Oxidation and Ferroptosis via Synergistic Repression of SLC7A11. Cancer Discov 2019; 9:1673-1685. [PMID: 31554642 DOI: 10.1158/2159-8290.cd-19-0338] [Citation(s) in RCA: 548] [Impact Index Per Article: 109.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Revised: 08/05/2019] [Accepted: 09/20/2019] [Indexed: 01/05/2023]
Abstract
A challenge in oncology is to rationally and effectively integrate immunotherapy with traditional modalities, including radiotherapy. Here, we demonstrate that radiotherapy induces tumor-cell ferroptosis. Ferroptosis agonists augment and ferroptosis antagonists limit radiotherapy efficacy in tumor models. Immunotherapy sensitizes tumors to radiotherapy by promoting tumor-cell ferroptosis. Mechanistically, IFNγ derived from immunotherapy-activated CD8+ T cells and radiotherapy-activated ATM independently, yet synergistically, suppresses SLC7A11, a unit of the glutamate-cystine antiporter xc-, resulting in reduced cystine uptake, enhanced tumor lipid oxidation and ferroptosis, and improved tumor control. Thus, ferroptosis is an unappreciated mechanism and focus for the development of effective combinatorial cancer therapy. SIGNIFICANCE: This article describes ferroptosis as a previously unappreciated mechanism of action for radiotherapy. Further, it shows that ferroptosis is a novel point of synergy between immunotherapy and radiotherapy. Finally, it nominates SLC7A11, a critical regulator of ferroptosis, as a mechanistic determinant of synergy between radiotherapy and immunotherapy.This article is highlighted in the In This Issue feature, p. 1631.
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Affiliation(s)
- Xueting Lang
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Michael D Green
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Weimin Wang
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Jiali Yu
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Jae Eun Choi
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Department of Pathology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Long Jiang
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Peng Liao
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Jiajia Zhou
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Qiang Zhang
- Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Ania Dow
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Anjali L Saripalli
- Department of Medical Education, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Ilona Kryczek
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Shuang Wei
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Wojciech Szeliga
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Linda Vatan
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan
| | - Everett M Stone
- Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas.,Department of Molecular Biosciences, The University of Texas at Austin, Austin, Texas
| | - George Georgiou
- Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas.,Department of Molecular Biosciences, The University of Texas at Austin, Austin, Texas
| | - Marcin Cieslik
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Department of Computational Medicine and Bioinformatics, University of Michigan School of Medicine, Ann Arbor, Michigan.,Howard Hughes Medical Institute, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Daniel R Wahl
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Meredith A Morgan
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Arul M Chinnaiyan
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Michigan Center for Translational Pathology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Department of Computational Medicine and Bioinformatics, University of Michigan School of Medicine, Ann Arbor, Michigan.,Howard Hughes Medical Institute, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Theodore S Lawrence
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Weiping Zou
- Department of Surgery, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan. .,Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan Rogel Cancer Center, Ann Arbor, Michigan.,Department of Pathology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Graduate Program in Immunology, University of Michigan School of Medicine, Ann Arbor, Michigan.,Graduate Program in Cancer Biology, University of Michigan School of Medicine, Ann Arbor, Michigan
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Abstract
In radiomics, quantitative features that describe phenotypic tumor characteristics are derived from radiographic images. Because radiomics generates information from routine medical images, it is a powerful way to non-invasively examine the spatial and temporal heterogeneity of disease, and thus has potential to significantly impact clinical trial design, execution, and ultimately patient care. The aim of this review article is to discuss how radiomics may address some of the current challenges in clinical randomized control trials, and the difficulties of integrating robust and repeatable radiomics analysis into trial design. Each step of the radiomics process, including image acquisition and reconstruction, image segmentation, feature extraction, and computational analysis, requires extensive standardization in order to be successfully incorporated into clinical trials and inform clinical decision making. By addressing these challenges, the potential of radiomics may be realized.
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Affiliation(s)
- Jessica J Waninger
- Department of Medical Education, University of Michigan School of Medicine, Ann Arbor, MI, USA.,Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA.,University of Michigan Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
| | | | - Benjamin Rosen
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Issam El Naqa
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, MI, USA -
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Calle DA, Rúa-Uribe GL, Osorio L, Piñeros-Jiménez JG, Swamidoss I, Vizcaino L, Beach R, Green MD. Monitoring and Predicting Net Longevity by Measuring Surface Levels of Insecticide: Implementing a Faster, Cost Effective, Nondestructive, and Field-Ready Alternative to the World Health Organization Cone Test Bioassay. Am J Trop Med Hyg 2019; 99:1003-1005. [PMID: 30141397 DOI: 10.4269/ajtmh.18-0250] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
An important component of malaria control programs is the ability to assess the effectiveness of the insecticide in insecticide-treated nets (ITNs) during normal usage. The standard technique to measure insecticidal activity is the World Health Organization (WHO) cone test, which in many circumstances, may be difficult to implement. We have evaluated an alternative technique, the colorimetric field test (CFT) on a group of 24-month-old Permanet® 2.0 (Vestergaard-Frandsen, Denmark) nets collected in Colombia. The CFT, which measures surface levels (SL) of deltamethrin is compared with standard high-performance liquid chromatography (HPLC) and the WHO cone test. Effective concentrations of deltamethrin for 80% mortality (EC80) were determined from the CFT and HPLC results. Distribution of insecticide SL after 24 months of use reveal that sampling of the midsection best represents the condition of the entire net. We conclude that the CFT is a practical alternative to the WHO cone test for assessing ITN efficacy.
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Affiliation(s)
- David A Calle
- Medical Entomology Group, School of Medicine, Universidad de Antioquia, Medellin, Antioquia, Colombia
| | - Guillermo L Rúa-Uribe
- Medical Entomology Group, School of Medicine, Universidad de Antioquia, Medellin, Antioquia, Colombia
| | - Lisardo Osorio
- Environmental Health Research Group, National School of Public Health, Universidad de Antioquia, Medellin, Antioquia, Colombia
| | - Juan Gabriel Piñeros-Jiménez
- Environmental Health Research Group, National School of Public Health, Universidad de Antioquia, Medellin, Antioquia, Colombia
| | - Isabel Swamidoss
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lucrecia Vizcaino
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Raymond Beach
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Michael D Green
- Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, Georgia
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50
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Gharzai LA, Green MD, Griffith KA, Else T, Mayo CS, Hesseltine E, Spratt DE, Ben-Josef E, Sabolch A, Miller BS, Worden F, Giordano TJ, Hammer GD, Jolly S. Adjuvant Radiation Improves Recurrence-Free Survival and Overall Survival in Adrenocortical Carcinoma. J Clin Endocrinol Metab 2019; 104:3743-3750. [PMID: 31220287 PMCID: PMC8926022 DOI: 10.1210/jc.2019-00029] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Accepted: 04/04/2019] [Indexed: 12/12/2022]
Abstract
CONTEXT Adrenocortical carcinoma (ACC) is a rare malignancy with high rates of recurrence and poor prognosis. The role of radiotherapy (RT) in localized ACC has been controversial, and RT is not routinely offered. OBJECTIVE To evaluate the benefit of adjuvant RT on outcomes in ACC. DESIGN This is a retrospective propensity-matched analysis. SETTING All patients were seen through the University of Michigan's Endocrine Oncology program, and all those who underwent RT were treated at the University of Michigan. PARTICIPANTS Of 424 patients with ACC, 78 were selected; 39 patients underwent adjuvant radiation. INTERVENTION Adjuvant RT to the tumor bed and adjacent lymph nodes. MAIN OUTCOMES MEASURES Time to local failure, distant failure, or death. RESULTS Median follow-up time was 4.21 years (95% CI, 2.79 to 4.94). The median radiation dose was 55 Gy (range, 45 to 60). The 3-year overall survival estimate for patients improved from 48.6% for patients without RT (95% CI, 29.7 to 65.2) to 77.7% (95% CI, 56.3 to 89.5) with RT, with a hazard ratio (HR) of 3.59 (95% CI, 1.60 to 8.09; P = 0.002). RT improved local recurrence-free survival (RFS) from 34.2% (95% CI, 18.8 to 50.3) to 59.5% (95% CI, 39.0 to 75.0), with an HR of 2.67 (95% CI, 1.38 to 5.19; P = 0.0035). RT improved all RFS from 18.3% (95% CI, 6.7 to 34.3) to 46.7% (95% CI, 26.9 to 64.3), with an HR 2.59 (95% CI, 1.40 to 4.79; P = 0.0024). CONCLUSIONS In the largest single institution study to date, adjuvant RT after gross resection of ACC improved local RFS, all RFS, and overall survival in this propensity-matched analysis. Adjuvant RT should be considered a part of multidisciplinary management for patients with ACC.
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Affiliation(s)
- Laila A Gharzai
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Michael D Green
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Kent A Griffith
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Tobias Else
- Department of Endocrinology, University of Michigan, Ann Arbor, Michigan
| | - Charles S Mayo
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | | | - Daniel E Spratt
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
| | - Edgar Ben-Josef
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Aaron Sabolch
- Department of Radiation Oncology, Kaiser Permanente, Portland, Oregon
| | - Barbara S Miller
- Department of Surgery, University of Michigan, Ann Arbor, Michigan
| | - Francis Worden
- Department of Internal Medicine, Division of Medical Oncology, University of Michigan, Ann Arbor, Michigan
| | - Thomas J Giordano
- Department of Pathology, University of Michigan, Ann Arbor, Michigan
| | - Gary D Hammer
- Department of Endocrinology, University of Michigan, Ann Arbor, Michigan
| | - Shruti Jolly
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan
- Correspondence and Reprint Requests: Shruti Jolly, MD, Department of Radiation Oncology, University of Michigan, 1500 E Medical Center Drive, UH B2 C490 SPC 5010, Ann Arbor, Michigan 48108. E-mail:
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