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Mortazavi SMA, Firoozabadi B. Towards a framework for predicting immunotherapy outcome: a hybrid multiscale mathematical model of immune response to vascular tumor growth. Biomech Model Mechanobiol 2024:10.1007/s10237-024-01891-x. [PMID: 39373819 DOI: 10.1007/s10237-024-01891-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Accepted: 09/22/2024] [Indexed: 10/08/2024]
Abstract
Studying tumor immune microenvironment (TIME) is pivotal to understand the mechanism and predict the outcome of cancer immunotherapy. Systems biology mathematical models can consider and control various factors of TIME and therefore explore the anti-tumor immune response meticulously. However, the role of tumor vasculature in the recruitment of T cells and the mechanism of T cell migration through TIME have not been studied comprehensively. In this work, we developed a hybrid discrete-continuum multi-scale model to study TIME. The mathematical model includes angiogenesis and T cell recruitment via tumor vasculature. Moreover, solid tumor growth, vascular growth and remodeling, interstitial fluid flow, hemodynamics, and blood rheology are all considered in the model. In addition, different aspects of T cells, including their migration, proliferation, subtype conversion, and interaction with tumor cells are thoroughly included. The model reproduces spatiotemporal distribution of tumor infiltrating T cells that mimics histopathological patterns. Furthermore, TIME model robustly recapitulates different phases of tumor immunoediting. We also examined a number of biomarkers to predict the outcome of immune checkpoint blockade (ICB) treatment. The results demonstrated that although tumor mutational burden (TMB) may predict non-responders to ICB, a combination of different biomarkers is essential to predict the majority of the responders. Based on our results, the ICB response rate varies significantly from 28 to 89% depending on the values of different parameters, even in the cases with high TMB.
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Affiliation(s)
| | - Bahar Firoozabadi
- Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran.
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2
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Budczies J, Kazdal D, Menzel M, Beck S, Kluck K, Altbürger C, Schwab C, Allgäuer M, Ahadova A, Kloor M, Schirmacher P, Peters S, Krämer A, Christopoulos P, Stenzinger A. Tumour mutational burden: clinical utility, challenges and emerging improvements. Nat Rev Clin Oncol 2024; 21:725-742. [PMID: 39192001 DOI: 10.1038/s41571-024-00932-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/23/2024] [Indexed: 08/29/2024]
Abstract
Tumour mutational burden (TMB), defined as the total number of somatic non-synonymous mutations present within the cancer genome, varies across and within cancer types. A first wave of retrospective and prospective research identified TMB as a predictive biomarker of response to immune-checkpoint inhibitors and culminated in the disease-agnostic approval of pembrolizumab for patients with TMB-high tumours based on data from the Keynote-158 trial. Although the applicability of outcomes from this trial to all cancer types and the optimal thresholds for TMB are yet to be ascertained, research into TMB is advancing along three principal avenues: enhancement of TMB assessments through rigorous quality control measures within the laboratory process, including the mitigation of confounding factors such as limited panel scope and low tumour purity; refinement of the traditional TMB framework through the incorporation of innovative concepts such as clonal, persistent or HLA-corrected TMB, tumour neoantigen load and mutational signatures; and integration of TMB with established and emerging biomarkers such as PD-L1 expression, microsatellite instability, immune gene expression profiles and the tumour immune contexture. Given its pivotal functions in both the pathogenesis of cancer and the ability of the immune system to recognize tumours, a profound comprehension of the foundational principles and the continued evolution of TMB are of paramount relevance for the field of oncology.
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Affiliation(s)
- Jan Budczies
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
- Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
- Center for Personalized Medicine (ZPM), Heidelberg, Germany.
| | - Daniel Kazdal
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Michael Menzel
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Susanne Beck
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Klaus Kluck
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Christian Altbürger
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Constantin Schwab
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Michael Allgäuer
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Aysel Ahadova
- Department of Applied Tumour Biology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Applied Tumour Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matthias Kloor
- Department of Applied Tumour Biology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Clinical Cooperation Unit Applied Tumour Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Peter Schirmacher
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
- Center for Personalized Medicine (ZPM), Heidelberg, Germany
| | - Solange Peters
- Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne University, Lausanne, Switzerland
| | - Alwin Krämer
- Clinical Cooperation Unit Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - Petros Christopoulos
- Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Thoracic Oncology, Thoraxklinik and National Center for Tumour Diseases at Heidelberg University Hospital, Heidelberg, Germany
| | - Albrecht Stenzinger
- Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
- Translational Lung Research Center (TLRC) Heidelberg, Member of the German Center for Lung Research (DZL), Heidelberg, Germany.
- Center for Personalized Medicine (ZPM), Heidelberg, Germany.
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3
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Mihaila RI, Gheorghe AS, Zob DL, Stanculeanu DL. The Importance of Predictive Biomarkers and Their Correlation with the Response to Immunotherapy in Solid Tumors-Impact on Clinical Practice. Biomedicines 2024; 12:2146. [PMID: 39335659 PMCID: PMC11429372 DOI: 10.3390/biomedicines12092146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 09/12/2024] [Accepted: 09/20/2024] [Indexed: 09/30/2024] Open
Abstract
Background/Objectives: Immunotherapy has changed the therapeutic approach for various solid tumors, especially lung tumors, malignant melanoma, renal and urogenital carcinomas, demonstrating significant antitumor activity, with tolerable safety profiles and durable responses. However, not all patients benefit from immunotherapy, underscoring the need for predictive biomarkers that can identify those most likely to respond to treatment. Methods: The integration of predictive biomarkers into clinical practice for immune checkpoint inhibitors (ICI) holds great promise for personalized cancer treatment. Programmed death ligand 1 (PD-L1) expression, tumor mutational burden (TMB), microsatellite instability (MSI), gene expression profiles and circulating tumor DNA (ctDNA) have shown potential in predicting ICI responses across various cancers. Results: Challenges such as standardization, validation, regulatory approval, and cost-effectiveness must be addressed to realize their full potential. Predictive biomarkers are crucial for optimizing the clinical use of ICIs in cancer therapy. Conclusions: While significant progress has been made, further research and collaboration among clinicians, researchers, and regulatory institutes are essential to overcome the challenges of clinical implementation. However, little is known about the relationship between local and systemic immune responses and the correlation with response to oncological therapies and patient survival.
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Affiliation(s)
- Raluca Ioana Mihaila
- Department of Oncology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Department of Medical Oncology I, "Prof. Dr. Alexandru Trestioreanu", Institute of Oncology, 022328 Bucharest, Romania
| | - Adelina Silvana Gheorghe
- Department of Oncology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Department of Medical Oncology I, "Prof. Dr. Alexandru Trestioreanu", Institute of Oncology, 022328 Bucharest, Romania
| | - Daniela Luminita Zob
- Department of Medical Oncology I, "Prof. Dr. Alexandru Trestioreanu", Institute of Oncology, 022328 Bucharest, Romania
| | - Dana Lucia Stanculeanu
- Department of Oncology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Department of Medical Oncology I, "Prof. Dr. Alexandru Trestioreanu", Institute of Oncology, 022328 Bucharest, Romania
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4
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Shanahan SL, Kunder N, Inaku C, Hagan NB, Gibbons G, Mathey-Andrews N, Anandappa G, Soares S, Pauken KE, Jacks T, Schenkel JM. Longitudinal Intravascular Antibody Labeling Identified Regulatory T Cell Recruitment as a Therapeutic Target in a Mouse Model of Lung Cancer. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 213:906-918. [PMID: 39082930 PMCID: PMC11460633 DOI: 10.4049/jimmunol.2400268] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 07/15/2024] [Indexed: 09/05/2024]
Abstract
Anticancer immunity is predicated on leukocyte migration into tumors. Once recruited, leukocytes undergo substantial reprogramming to adapt to the tumor microenvironment. A major challenge in the field is distinguishing recently recruited from resident leukocytes in tumors. In this study, we developed an intravascular Ab technique to label circulating mouse leukocytes before they migrate to tissues, providing unprecedented insight into the kinetics of recruitment. This approach unveiled the substantial role of leukocyte migration in tumor progression using a preclinical mouse model of lung adenocarcinoma. Regulatory T cells (Tregs), critical mediators of immunosuppression, were continuously and rapidly recruited into tumors throughout cancer progression. Moreover, leukocyte trafficking depended on the integrins CD11a/CD49d, and CD11a/CD49d blockade led to significant tumor burden reduction in mice. Importantly, preventing circulating Treg recruitment through depletion or sequestration in lymph nodes was sufficient to decrease tumor burden, indicating that Treg migration was crucial for suppressing antitumor immunity. These findings underscore the dynamic nature of the immune compartment within mouse lung tumors and demonstrate the relevance of a temporal map of leukocyte recruitment into tumors, thereby advancing our understanding of leukocyte migration in the context of tumor development.
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Affiliation(s)
- Sean-Luc Shanahan
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02139, USA
- Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA
| | - Nikesh Kunder
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Charles Inaku
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Natalie B. Hagan
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Grace Gibbons
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02139, USA
| | - Nicolas Mathey-Andrews
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02139, USA
- Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA
- Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Gayathri Anandappa
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Shawn Soares
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02139, USA
| | - Kristen E. Pauken
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tyler Jacks
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02139, USA
- Department of Biology, Massachusetts Institute of Technology, 77 Massachusetts Ave, Cambridge, MA 02139, USA
| | - Jason M. Schenkel
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, 500 Main Street, Cambridge, MA 02139, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
- Department of Immunology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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5
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Xu J, Wan R, Cai Y, Cai S, Wu L, Li B, Duan J, Cheng Y, Li X, Wang X, Han L, Wu X, Fan Y, Yu Y, Lv D, Shi J, Huang J, Zhou S, Han B, Sun G, Guo Q, Ji Y, Zhu X, Hu S, Zhang W, Wang Q, Jia Y, Wang Z, Song Y, Wu J, Shi M, Li X, Han Z, Liu Y, Yu Z, Liu AW, Wang X, Zhou C, Zhong D, Miao L, Zhang Z, Zhao H, Yang J, Wang D, Wang Y, Li Q, Zhang X, Ji M, Yang Z, Cui J, Gao B, Wang B, Liu H, Nie L, He M, Jin S, Gu W, Shu Y, Zhou T, Feng J, Yang X, Huang C, Zhu B, Yao Y, Yu J, Yao S, Shen R, Wang Z, Wang J. Circulating tumor DNA-based stratification strategy for chemotherapy plus PD-1 inhibitor in advanced non-small-cell lung cancer. Cancer Cell 2024; 42:1598-1613.e4. [PMID: 39255777 DOI: 10.1016/j.ccell.2024.08.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 07/19/2024] [Accepted: 08/14/2024] [Indexed: 09/12/2024]
Abstract
Stratification strategies for chemotherapy plus PD-1 inhibitors in advanced non-small-cell lung cancer (NSCLC) are critically demanded. We performed high-throughput panel-based deep next-generation sequencing and low-pass whole genome sequencing on prospectively collected circulating tumor DNA (ctDNA) specimens from 460 patients in the phase 3 CHOICE-01 study at different time points. We identified predictive markers for chemotherapy plus PD-1 inhibitor, including ctDNA status and genomic features such as blood-based tumor mutational burden, intratumor heterogeneity, and chromosomal instability. Furthermore, we established an integrated ctDNA-based stratification strategy, blood-based genomic immune subtypes (bGIS) scheme, to distinguish patients who benefit from the addition of PD-1 inhibitor to first-line chemotherapy. Moreover, we demonstrated potential applications for the dynamic monitoring of ctDNA. Overall, we proposed a potential therapeutic algorithm based on the ctDNA-based stratification strategy, shedding light on the individualized management of immune-chemotherapies for patients with advanced NSCLC.
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Affiliation(s)
- Jiachen Xu
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rui Wan
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yiran Cai
- Burning Rock Biotech, Guangzhou, China
| | | | - Lin Wu
- Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Baolan Li
- Beijing Chest Hospital, Capital Medical University, Beijing, China
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | | | - Xiaoling Li
- Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Xicheng Wang
- The First Affiliated Hospital, School of Clinical Medicine of Guangdong Pharmaceutical University, Guangzhou, China
| | - Liang Han
- Xuzhou Central Hospital, Xuzhou, China
| | - Xiaohong Wu
- Jiangnan University Affiliated Hospital, Wuxi, China
| | - Yun Fan
- Cancer Hospital of the University of Chinese Academy of Sciences, Hangzhou, China
| | - Yan Yu
- Harbin Medical University Cancer Hospital, Harbin, China
| | - Dongqing Lv
- Taizhou Hospital of Zhejiang Province, Linhai, China
| | | | - Jianjin Huang
- The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shaozhang Zhou
- Guangxi Medical University Affiliated Tumor Hospital, Nanning, China
| | - Baohui Han
- Shanghai Chest Hospital, Shanghai, China
| | - Guogui Sun
- Tangshan People's Hospital, Tangshan, China
| | - Qisen Guo
- Shangdong Cancer Hospital, Jinan, China
| | - Youxin Ji
- Qingdao Central Hospital, Qingdao, China
| | - Xiaoli Zhu
- Zhongda Hospital Southeast University, Nanjing, China
| | - Sheng Hu
- Hubei Cancer Hospital, Wuhan, China
| | - Wei Zhang
- The First Affiliated Hospital of Nanchang University, Nanchang, China
| | | | - Yuming Jia
- The Second People's Hospital of Yibin, Yibin, China
| | - Ziping Wang
- Peking University Cancer Hospital, Beijing, China
| | - Yong Song
- Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Jingxun Wu
- The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Meiqi Shi
- Jiangsu Cancer Hospital, Nanjing, China
| | - Xingya Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhigang Han
- Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China
| | - Yunpeng Liu
- The First Hospital of China Medical University, Shenyang, China
| | - Zhuang Yu
- The Affiliated Hospital of Qingdao University, Qingdao, China
| | - An-Wen Liu
- The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiuwen Wang
- Qilu Hospital of Shandong University, Jinan, China
| | - Caicun Zhou
- Shanghai Pulmonary Hospital, Shanghai, China
| | | | - Liyun Miao
- Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | | | - Hui Zhao
- The Second Hospital of Anhui Medical University, Hefei, China
| | - Jun Yang
- The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Dong Wang
- Army Medical Center of PLA, Daping Hospital, Daping, China
| | - Yingyi Wang
- Peking Union Medical College Hospital, Beijing, China
| | - Qiang Li
- Shanghai East Hospital of Tongji University, Shanghai, China
| | | | - Mei Ji
- The First People's Hospital of Changzhou, Changzhou, China
| | - Zhenzhou Yang
- The Second Affiliated Hospital of Chongqing University, Chongqing, China
| | - Jiuwei Cui
- The First Hospital of Jilin University, Jilin, China
| | - Beili Gao
- Ruijin Hospital Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Buhai Wang
- Subei People's Hospital of Jiangsu Province, Yanghzou, China
| | - Hu Liu
- Anhui Provincial Cancer Hospital, Hefei, China
| | - Lei Nie
- Shanxi Provincial Tumor Hospital, Xian, China
| | - Mei He
- Shanxi Provincial People's Hospital, Taiyuan, China
| | - Shi Jin
- Cancer Hospital of Chinese Academy of Medical Sciences, Shenzhen Center, Shenzhen, China
| | - Wei Gu
- Nanjing First Hospital, Nanjing, China
| | - Yongqian Shu
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Tong Zhou
- ChangZhou Cancer Hospital, Changzhou, China
| | - Jian Feng
- Affiliated Hospital of Nantong University, Nantong, China
| | | | | | - Bo Zhu
- Xinqiao Hospital of Army Medical University, Chongqing, China
| | - Yu Yao
- First Affiliated Hospital of Xi'an Jiaotong University, Xian, China
| | - Jianjun Yu
- Shanghai Junshi Biosciences, Shanghai, China
| | - Sheng Yao
- Shanghai Junshi Biosciences, Shanghai, China
| | | | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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Wolff A, Krone P, Maennicke J, Henne J, Oehmcke-Hecht S, Redwanz C, Bergmann-Ewert W, Junghanss C, Henze L, Maletzki C. Prophylaxis with abemaciclib delays tumorigenesis in dMMR mice by altering immune responses and reducing immunosuppressive extracellular vesicle secretion. Transl Oncol 2024; 47:102053. [PMID: 38986222 PMCID: PMC11296063 DOI: 10.1016/j.tranon.2024.102053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 05/29/2024] [Accepted: 07/01/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND The CDK4/6 inhibitor abemaciclib is an FDA-approved agent and induces T-cell-mediated immunity. Previously, we confirmed the therapeutic potential of abemaciclib on mismatch repair-deficient (dMMR) tumors in mice. Here, we applied a prophylactic administration/dosage setting using two preclinical mouse models of dMMR-driven cancer. METHODS Mlh1-/- and Msh2loxP/loxP mice received repeated prophylactic applications of abemaciclib mesylate (75 mg/kg bw, per oral) as monotherapy or were left untreated. Blood phenotyping and multiplex cytokine measurements were performed regularly. The tumor microenvironment was evaluated by immunofluorescence and Nanostring-based gene expression profiling. Numbers, size and immune composition and activity of extracellular vesicles (EVs) were studied at the endpoint. FINDINGS Prophylactic abemaciclib-administration delayed tumor development and significantly prolonged overall survival in both mouse strains (Mlh1-/-: 50.0 wks vs. control: 33.9 wks; Msh2loxP/loxP;TgTg(Vil1-cre: 58.4 wks vs. control 44.4 wks). In Mlh1-/- mice, pro-inflammatory cytokines (IL-2, IL-6) significantly increased, whereas IL-10 and IL-17A decreased. Circulating and splenic exhausted and regulatory T cell numbers were significantly lower in the abemaciclib groups. Deeper analysis of late-onset tumors revealed activation of the Hedgehog and Notch signaling in Mlh1-/- mice, and activation of the MAPK pathway in Msh2loxP/loxP;TgTg(Vil1-cre mice. Still, arising tumors had fewer infiltrating myeloid-derived suppressor cells (vs. control). Notably, prophylactic abemaciclib-administration prevented secretion of procoagulant EVs but triggered release of immunomodulatory EVs in Mlh1-/- mice. INTERPRETATION Prophylactic abemaciclib prolongs survival via global immunomodulation. Prophylactic use of abemaciclib should be considered further for individuals with inherited dMMR. FUNDING This work was supported by grants from the German research foundation [DFG grant number: MA5799/2-2] and the Brigitte und Dr. Konstanze Wegener-Stiftung to CM.
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Affiliation(s)
- Annabell Wolff
- Department of Medicine, Clinic III -Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany
| | - Paula Krone
- Department of Medicine, Clinic III -Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany
| | - Johanna Maennicke
- Department of Medicine, Clinic III -Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany
| | - Julia Henne
- Department of Medicine, Clinic III -Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany
| | - Sonja Oehmcke-Hecht
- Institute of Medical Microbiology, Virology and Hygiene, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany
| | - Caterina Redwanz
- Department of Internal Medicine B, Cardiology, University Medicine Greifswald, Germany
| | - Wendy Bergmann-Ewert
- Core Facility for Cell Sorting & Cell Analysis, Laboratory for Clinical Immunology, Rostock University Medical Centre, 18057, Rostock, Germany
| | - Christian Junghanss
- Department of Medicine, Clinic III -Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany
| | - Larissa Henze
- Department of Medicine, Clinic III -Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany
| | - Claudia Maletzki
- Department of Medicine, Clinic III -Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, University of Rostock, 18057 Rostock, Germany.
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7
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Song P, Deng H, Liu Y, Zhang M. Integrated bioinformatics analysis and experimental validation reveal the relationship between ALOX5AP and the prognosis and immune microenvironment in glioma. BMC Med Genomics 2024; 17:218. [PMID: 39169376 PMCID: PMC11337642 DOI: 10.1186/s12920-024-01991-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 08/13/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND Treatment of gliomas, the most prevalent primary malignant neoplasm of the central nervous system, is challenging. Arachidonate 5-lipoxygenase activating protein (ALOX5AP) is crucial for converting arachidonic acid into leukotrienes and is associated with poor prognosis in multiple cancers. Nevertheless, its relationship with the prognosis and the immune microenvironment of gliomas remains incompletely understood. METHODS The differential expression of ALOX5AP was evaluated based on public Databases. Kaplan-Meier, multivariate Cox proportional hazards regression analysis, time-dependent receiver operating characteristic, and nomogram were used to estimate the prognostic value of ALOX5AP. The relationship between ALOX5AP and immune infiltration was calculated using ESTIMATE and CIBERSORT algorithms. Relationships between ALOX5AP and human leukocyte antigen molecules, immune checkpoints, tumor mutation burden, TIDE score, and immunophenoscore were calculated to evaluate glioma immunotherapy response. Single gene GSEA and co-expression network-based GO and KEGG enrichment analysis were performed to explore the potential function of ALOX5AP. ALOX5AP expression was verified using multiplex immunofluorescence staining and its prognostic effects were confirmed using a glioma tissue microarray. RESULT ALOX5AP was highly expressed in gliomas, and the expression level was related to World Health Organization (WHO) grade, age, sex, IDH mutation status, 1p19q co-deletion status, MGMTp methylation status, and poor prognosis. Single-cell RNA sequencing showed that ALOX5AP was expressed in macrophages, monocytes, and T cells but not in tumor cells. ALOX5AP expression positively correlated with M2 macrophage infiltration and poor immunotherapy response. Immunofluorescence staining demonstrated that ALOX5AP was upregulated in WHO higher-grade gliomas, localizing to M2 macrophages. Glioma tissue microarray confirmed the adverse effect of ALOX5AP in the prognosis of glioma. CONCLUSION ALOX5AP is highly expressed in M2 macrophages and may act as a potential biomarker for predicting prognosis and immunotherapy response in patients with glioma.
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Affiliation(s)
- Ping Song
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, 430030, P.R. China
| | - Hui Deng
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, 430030, P.R. China
| | - Yushu Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, 430030, P.R. China
| | - Mengxian Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Hubei, Wuhan, 430030, P.R. China.
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8
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Wainberg ZA. WRN Helicase: Is There More to MSI-H than Immunotherapy? Cancer Discov 2024; 14:1369-1371. [PMID: 39091203 DOI: 10.1158/2159-8290.cd-24-0771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Accepted: 06/17/2024] [Indexed: 08/04/2024]
Abstract
In this issue, Picco and colleagues provide further evidence that WRN inhibitors are synthetically lethal in microsatellite instability-high (MSI-H) cancers and function by blocking the helicase domain of select WRN residues. They demonstrate that WRN inhibitors may be even more effective in a subset of MSI-high tumors with (TA)n repeat expansions, which represents a possible strategy in clinical development. See related article by Picco et al., p. 1457 (1).
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Affiliation(s)
- Zev A Wainberg
- Division of Hematology/Oncology, Early Phase Clinical Research Program, Jonsson Comprehensive Cancer at UCLA, David Geffen School of Medicine, UCLA, Los Angeles, California
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9
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Jaing TH, Wang YL, Chiu CC. Immune Checkpoint Inhibitors for Pediatric Cancers: Is It Still a Stalemate? Pharmaceuticals (Basel) 2024; 17:991. [PMID: 39204096 PMCID: PMC11357301 DOI: 10.3390/ph17080991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Revised: 07/11/2024] [Accepted: 07/24/2024] [Indexed: 09/03/2024] Open
Abstract
The knowledge surrounding the application of immune checkpoint inhibitors (ICIs) in the treatment of pediatric cancers is continuously expanding and evolving. These therapies work by enhancing the body's natural immune response against tumors, which may have been suppressed by certain pathways. The effectiveness of ICIs in treating adult cancers has been widely acknowledged. However, the results of early phase I/II clinical trials that exclusively targeted the use of ICIs for treating different pediatric cancers have been underwhelming. The response rates to ICIs have generally been modest, except for cases of pediatric classic Hodgkin lymphoma. There seems to be a notable disparity in the immunogenicity of childhood cancers compared to adult cancers, potentially accounting for this phenomenon. On average, childhood cancers tend to have significantly fewer neoantigens. In recent times, there has been a renewed sense of optimism regarding the potential benefits of ICI therapies for specific groups of children with cancer. In initial research, individuals diagnosed with pediatric hypermutated and SMARCB1-deficient cancers have shown remarkable positive outcomes when treated with ICI therapies. This is likely due to the underlying biological factors that promote the expression of neoantigens and inflammation within the tumor. Ongoing trials are diligently assessing the effectiveness of ICIs for pediatric cancer patients in these specific subsets. This review aimed to analyze the safety and effectiveness of ICIs in pediatric patients with different types of highly advanced malignancies.
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Affiliation(s)
- Tang-Her Jaing
- Division of Hematology and Oncology, Department of Pediatrics, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan 33315, Taiwan, China;
| | - Yi-Lun Wang
- Division of Hematology and Oncology, Department of Pediatrics, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan 33315, Taiwan, China;
| | - Chia-Chi Chiu
- Division of Nursing, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan 33315, Taiwan, China;
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10
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Majumder B, Nataraj NB, Maitreyi L, Datta S. Mismatch repair-proficient tumor footprints in the sands of immune desert: mechanistic constraints and precision platforms. Front Immunol 2024; 15:1414376. [PMID: 39100682 PMCID: PMC11294168 DOI: 10.3389/fimmu.2024.1414376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 06/17/2024] [Indexed: 08/06/2024] Open
Abstract
Mismatch repair proficient (MMRp) tumors of colorectal origin are one of the prevalent yet unpredictable clinical challenges. Despite earnest efforts, optimal treatment modalities have yet to emerge for this class. The poor prognosis and limited actionability of MMRp are ascribed to a low neoantigen burden and a desert-like microenvironment. This review focuses on the critical roadblocks orchestrated by an immune evasive mechanistic milieu in the context of MMRp. The low density of effector immune cells, their weak spatiotemporal underpinnings, and the high-handedness of the IL-17-TGF-β signaling are intertwined and present formidable challenges for the existing therapies. Microbiome niche decorated by Fusobacterium nucleatum alters the metabolic program to maintain an immunosuppressive state. We also highlight the evolving strategies to repolarize and reinvigorate this microenvironment. Reconstruction of anti-tumor chemokine signaling, rational drug combinations eliciting T cell activation, and reprograming the maladapted microbiome are exciting developments in this direction. Alternative vulnerability of other DNA damage repair pathways is gaining momentum. Integration of liquid biopsy and ex vivo functional platforms provide precision oncology insights. We illustrated the perspectives and changing landscape of MMRp-CRC. The emerging opportunities discussed in this review can turn the tide in favor of fighting the treatment dilemma for this elusive cancer.
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11
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Grau Bejar JF, Yaniz Galende E, Zeng Q, Genestie C, Rouleau E, de Bruyn M, Klein C, Le Formal A, Edmond E, Moreau M, Plat A, Gouy S, Maulard A, Pautier P, Michels J, Oaknin A, Colomba-Blameble E, Leary A. Immune predictors of response to immune checkpoint inhibitors in mismatch repair-deficient endometrial cancer. J Immunother Cancer 2024; 12:e009143. [PMID: 38955419 PMCID: PMC11218029 DOI: 10.1136/jitc-2024-009143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Patients with mismatch repair-deficient (MMRd) endometrial cancer (EC) can derive great benefit from immune checkpoint inhibitors (ICI). However not all responses and predictors of primary resistance are lacking. METHODS We compared the immune tumor microenvironment of MMRd EC ICI-responders (Rs) and ICI non-responders (NRs), using spatial multiplexed immune profiling and unsupervised hierarchical clustering analysis. RESULTS Overall, NRs exhibited drastically lower CD8+, absent terminally differentiated T cells, lack of mature tertiary lymphoid structures and dendritic cells, as well as loss of human leukocyte antigen class I. However, no single marker could predict R versus NR with confidence. Clustering analysis identified a combination of four immune features that demonstrated that accurately predicted ICI response, with a discriminative power of 92%. Finally, 80% of NRs lacked programmed death-ligand 1, however, 60% exhibited another actionable immune checkpoint (T-cell immunoglobulin and mucin containing protein-3, indoleamine 2,3-dioxygenase 1, or lymphocyte activation gene 3). CONCLUSIONS These findings underscore the potential of immune tumor microenvironment features for identifying patients with MMRd EC and primary resistance to ICI who should be oriented towards trials testing novel immunotherapeutic combinations.
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Affiliation(s)
- Juan Francisco Grau Bejar
- Gynecological Oncology Programme, Vall d'Hebron Institute of Oncology, Barcelona, Spain
- Gynecological Cancer Translational Research Laboratory, INSERM U981, Gustave Roussy Institute, Villejuif, France
| | - Elisa Yaniz Galende
- Gynecological Cancer Translational Research Laboratory, INSERM U981, Gustave Roussy Institute, Villejuif, France
| | - Qinghe Zeng
- Laboratoire d'Informatique Paris Descartes (LIPADE), Université Paris Cité, Paris, France
- Centre d'Histologie, Imagerie cellulaire et Cytométrie (CHIC), Centre de Recherche des Cordeliers, Centre de Recherche des Cordeliers, Paris, France
| | | | - Etienne Rouleau
- Department of Medical Biology and Pathology, Cancer Genetics Laboratory, Gustave Roussy Institute, Villejuif, France
| | - Marco de Bruyn
- Obstetrics & Gynecology, University of Groningen Faculty of Medical Sciences, Groningen, The Netherlands
| | - Christophe Klein
- Centre d'Histologie, Imagerie cellulaire et Cytométrie (CHIC), Centre de Recherche des Cordeliers, Centre de Recherche des Cordeliers, Paris, France
| | - Audrey Le Formal
- Gynecological Cancer Translational Research Laboratory, INSERM U981, Gustave Roussy Institute, Villejuif, France
| | - Elodie Edmond
- Experimental and Translational Pathology Platform (PETRA), AMMICa Inserm US23/UAR CNRS 3655, Gustave Roussy Institute, Villejuif, France
| | - Maëva Moreau
- Department of Medical Biology and Pathology, Cancer Genetics Laboratory, Gustave Roussy Institute, Villejuif, France
| | - Annechien Plat
- Obstetrics & Gynecology, University of Groningen Faculty of Medical Sciences, Groningen, The Netherlands
| | - Sebastien Gouy
- Department of Gynecologic Surgery, Department of Surgery, Gustave Roussy Institute, Villejuif, France
| | - Amandine Maulard
- Department of Gynecologic Surgery, Department of Surgery, Gustave Roussy Institute, Villejuif, France
| | - Patricia Pautier
- Gynecological Cancer Unit, Department of Medical Oncology, Gustave Roussy Institute, Villejuif, France
| | - Judith Michels
- Gynecological Cancer Unit, Department of Medical Oncology, Gustave Roussy Institute, Villejuif, France
| | - Ana Oaknin
- Gynecological Oncology Programme, Vall d'Hebron Institute of Oncology, Barcelona, Spain
| | - Emeline Colomba-Blameble
- Gynecological Cancer Unit, Department of Medical Oncology, Gustave Roussy Institute, Villejuif, France
| | - Alexandra Leary
- Gynecological Cancer Translational Research Laboratory, INSERM U981, Gustave Roussy Institute, Villejuif, France
- Gynecological Cancer Unit, Department of Medical Oncology, Gustave Roussy Institute, Villejuif, France
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12
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Johanns TM, Garfinkle EA, Miller KE, Livingstone AJ, Roberts KF, Rao Venkata LP, Dowling JL, Chicoine MR, Dacey RG, Zipfel GJ, Kim AH, Mardis ER, Dunn GP. Integrating Multisector Molecular Characterization into Personalized Peptide Vaccine Design for Patients with Newly Diagnosed Glioblastoma. Clin Cancer Res 2024; 30:2729-2742. [PMID: 38639919 PMCID: PMC11215407 DOI: 10.1158/1078-0432.ccr-23-3077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/18/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024]
Abstract
PURPOSE Outcomes for patients with glioblastoma (GBM) remain poor despite multimodality treatment with surgery, radiation, and chemotherapy. There are few immunotherapy options due to the lack of tumor immunogenicity. Several clinical trials have reported promising results with cancer vaccines. To date, studies have used data from a single tumor site to identify targetable antigens, but this approach limits the antigen pool and is antithetical to the heterogeneity of GBM. We have implemented multisector sequencing to increase the pool of neoantigens across the GBM genomic landscape that can be incorporated into personalized peptide vaccines called NeoVax. PATIENTS AND METHODS In this study, we report the findings of four patients enrolled onto the NeoVax clinical trial (NCT0342209). RESULTS Immune reactivity to NeoVax neoantigens was assessed in peripheral blood mononuclear cells pre- and post-NeoVax for patients 1 to 3 using IFNγ-ELISPOT assay. A statistically significant increase in IFNγ producing T cells at the post-NeoVax time point for several neoantigens was observed. Furthermore, a post-NeoVax tumor biopsy was obtained from patient 3 and, upon evaluation, revealed evidence of infiltrating, clonally expanded T cells. CONCLUSIONS Collectively, our findings suggest that NeoVax stimulated the expansion of neoantigen-specific effector T cells and provide encouraging results to aid in the development of future neoantigen vaccine-based clinical trials in patients with GBM. Herein, we demonstrate the feasibility of incorporating multisector sampling in cancer vaccine design and provide information on the clinical applicability of clonality, distribution, and immunogenicity of the neoantigen landscape in patients with GBM.
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Affiliation(s)
- Tanner M. Johanns
- Division of Medical Oncology, Washington University School of Medicine, St. Louis, Missouri.
- Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, Missouri.
- The Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri.
| | - Elizabeth A.R. Garfinkle
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, Ohio.
| | - Katherine E. Miller
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, Ohio.
| | | | - Kaleigh F. Roberts
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri.
| | - Lakshmi P. Rao Venkata
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, Ohio.
| | - Joshua L. Dowling
- The Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri.
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.
| | - Michael R. Chicoine
- Department of Neurosurgery, University of Missouri in Columbia, Columbia, Missouri.
| | - Ralph G. Dacey
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.
| | - Gregory J. Zipfel
- The Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri.
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.
| | - Albert H. Kim
- The Brain Tumor Center at Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri.
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri.
| | - Elaine R. Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children’s Hospital, Columbus, Ohio.
- Department of Pediatrics, Ohio State University College of Medicine, Columbus, Ohio.
| | - Gavin P. Dunn
- Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts.
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts.
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13
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Kayhanian H, Cross W, van der Horst SEM, Barmpoutis P, Lakatos E, Caravagna G, Zapata L, Van Hoeck A, Middelkamp S, Litchfield K, Steele C, Waddingham W, Patel D, Milite S, Jin C, Baker AM, Alexander DC, Khan K, Hochhauser D, Novelli M, Werner B, van Boxtel R, Hageman JH, Buissant des Amorie JR, Linares J, Ligtenberg MJL, Nagtegaal ID, Laclé MM, Moons LMG, Brosens LAA, Pillay N, Sottoriva A, Graham TA, Rodriguez-Justo M, Shiu KK, Snippert HJG, Jansen M. Homopolymer switches mediate adaptive mutability in mismatch repair-deficient colorectal cancer. Nat Genet 2024; 56:1420-1433. [PMID: 38956208 PMCID: PMC11250277 DOI: 10.1038/s41588-024-01777-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/25/2024] [Indexed: 07/04/2024]
Abstract
Mismatch repair (MMR)-deficient cancer evolves through the stepwise erosion of coding homopolymers in target genes. Curiously, the MMR genes MutS homolog 6 (MSH6) and MutS homolog 3 (MSH3) also contain coding homopolymers, and these are frequent mutational targets in MMR-deficient cancers. The impact of incremental MMR mutations on MMR-deficient cancer evolution is unknown. Here we show that microsatellite instability modulates DNA repair by toggling hypermutable mononucleotide homopolymer runs in MSH6 and MSH3 through stochastic frameshift switching. Spontaneous mutation and reversion modulate subclonal mutation rate, mutation bias and HLA and neoantigen diversity. Patient-derived organoids corroborate these observations and show that MMR homopolymer sequences drift back into reading frame in the absence of immune selection, suggesting a fitness cost of elevated mutation rates. Combined experimental and simulation studies demonstrate that subclonal immune selection favors incremental MMR mutations. Overall, our data demonstrate that MMR-deficient colorectal cancers fuel intratumor heterogeneity by adapting subclonal mutation rate and diversity to immune selection.
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Affiliation(s)
| | - William Cross
- UCL Cancer Institute, University College London, London, UK
- Cancer Mechanisms and Biomarker Discovery Group, School of Life Sciences, University of Westminster, London, UK
| | - Suzanne E M van der Horst
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Panagiotis Barmpoutis
- UCL Cancer Institute, University College London, London, UK
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Eszter Lakatos
- Department of Mathematical Sciences, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden
| | - Giulio Caravagna
- Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy
| | - Luis Zapata
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Arne Van Hoeck
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Sjors Middelkamp
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | | | | | | | - Dominic Patel
- UCL Cancer Institute, University College London, London, UK
| | - Salvatore Milite
- Department of Mathematics, Informatics and Geosciences, University of Trieste, Trieste, Italy
| | - Chen Jin
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Ann-Marie Baker
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Daniel C Alexander
- UCL Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK
| | - Khurum Khan
- Department of Oncology, UCL Cancer Institute, University College London, London, UK
| | - Daniel Hochhauser
- UCL Cancer Institute, University College London, London, UK
- Department of Oncology, UCL Cancer Institute, University College London, London, UK
| | - Marco Novelli
- UCL Cancer Institute, University College London, London, UK
- Department of Pathology, University College London Hospital, London, UK
| | - Benjamin Werner
- Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Ruben van Boxtel
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Joris H Hageman
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | | | - Marjolijn J L Ligtenberg
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Iris D Nagtegaal
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Miangela M Laclé
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Leon M G Moons
- Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Lodewijk A A Brosens
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Centre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Manuel Rodriguez-Justo
- UCL Cancer Institute, University College London, London, UK
- Department of Pathology, University College London Hospital, London, UK
| | - Kai-Keen Shiu
- UCL Cancer Institute, University College London, London, UK
- Department of Oncology, UCL Cancer Institute, University College London, London, UK
| | - Hugo J G Snippert
- Oncode Institute, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Marnix Jansen
- UCL Cancer Institute, University College London, London, UK.
- Department of Pathology, University College London Hospital, London, UK.
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14
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Wang Z, Zhao Y, Wo Y, Peng Y, Hu W, Wu Z, Liu P, Shang Y, Liu C, Chen X, Huang K, Chen Y, Hong H, Li F, Sun Y. The single cell immunogenomic landscape after neoadjuvant immunotherapy combined chemotherapy in esophageal squamous cell carcinoma. Cancer Lett 2024; 593:216951. [PMID: 38734159 DOI: 10.1016/j.canlet.2024.216951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 04/19/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
Neoadjuvant immunotherapy represents promising strategy in the treatment of esophageal squamous cell carcinoma (ESCC). However, the mechanisms underlying its impact on treatment sensitivity or resistance remain a subject of controversy. In this study, we conducted single-cell RNA and T/B cell receptor (scTCR/scBCR) sequencing of CD45+ immune cells on samples from 10 patients who received neoadjuvant immunotherapy and chemotherapy. We also validated our findings using multiplexed immunofluorescence and analyzed bulk RNA-seq from other cohorts in public database. By integrating analysis of 87357 CD45+ cells, we found GZMK + effector memory T cells (Tem) were relatively enriched and CXCL13+ exhausted T cells (Tex) and regulator T cells (Treg) decreased among responders, indicating a persistent anti-tumor memory process. Additionally, the enhanced presence of BCR expansion and somatic hypermutation process within TNFRSF13B + memory B cells (Bmem) suggested their roles in antigen presentation. This was further corroborated by the evidence of the T-B co-stimulation pattern and CXCL13-CXCR5 axis. The complexity of myeloid cell heterogeneity was also particularly pronounced. The elevated expression of S100A7 in ESCC, as detected by bulk RNA-seq, was associated with an exhausted and immunosuppressive tumor microenvironment. In summary, this study has unveiled a potential regulatory network among immune cells and the clonal dynamics of their functions, and the mechanisms of exhaustion and memory conversion between GZMK + Tem and TNFRSF13B + Bmem from antigen presentation and co-stimulation perspectives during neoadjuvant PD-1 blockade treatment in ESCC.
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MESH Headings
- Humans
- Neoadjuvant Therapy/methods
- Esophageal Squamous Cell Carcinoma/immunology
- Esophageal Squamous Cell Carcinoma/genetics
- Esophageal Squamous Cell Carcinoma/therapy
- Esophageal Squamous Cell Carcinoma/drug therapy
- Esophageal Squamous Cell Carcinoma/pathology
- Esophageal Neoplasms/immunology
- Esophageal Neoplasms/genetics
- Esophageal Neoplasms/therapy
- Esophageal Neoplasms/drug therapy
- Esophageal Neoplasms/pathology
- Immunotherapy/methods
- Single-Cell Analysis/methods
- Female
- Male
- Tumor Microenvironment/immunology
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Antineoplastic Combined Chemotherapy Protocols/pharmacology
- Chemokine CXCL13/genetics
- Chemokine CXCL13/metabolism
- Middle Aged
- Aged
- Memory T Cells/immunology
- Memory T Cells/metabolism
- Leukocyte Common Antigens/metabolism
- Leukocyte Common Antigens/genetics
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/drug effects
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Antigen, B-Cell/immunology
- Receptors, CXCR5/metabolism
- Receptors, CXCR5/genetics
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Affiliation(s)
- Zheyi Wang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yue Zhao
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Wo
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yizhou Peng
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weilei Hu
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China; State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Zhigang Wu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Pengcheng Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Shang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chunnan Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Kan Huang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuting Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hui Hong
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fei Li
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Yihua Sun
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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15
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Bi S, Zhu J, Huang L, Feng W, Peng L, Leng L, Wang Y, Shan P, Kong W, Zhu S. Comprehensive Analysis of the Function and Prognostic Value of TAS2Rs Family-Related Genes in Colon Cancer. Int J Mol Sci 2024; 25:6849. [PMID: 38999959 PMCID: PMC11241446 DOI: 10.3390/ijms25136849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/09/2024] [Accepted: 06/19/2024] [Indexed: 07/14/2024] Open
Abstract
In the realm of colon carcinoma, significant genetic and epigenetic diversity is observed, underscoring the necessity for tailored prognostic features that can guide personalized therapeutic strategies. In this study, we explored the association between the type 2 bitter taste receptor (TAS2Rs) family-related genes and colon cancer using RNA-sequencing and clinical datasets from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). Our preliminary analysis identified seven TAS2Rs genes associated with survival using univariate Cox regression analysis, all of which were observed to be overexpressed in colon cancer. Subsequently, based on these seven TAS2Rs prognostic genes, two colon cancer molecular subtypes (Cluster A and Cluster B) were defined. These subtypes exhibited distinct prognostic and immune characteristics, with Cluster A characterized by low immune cell infiltration and less favorable outcomes, while Cluster B was associated with high immune cell infiltration and better prognosis. Finally, we developed a robust scoring system using a gradient boosting machine (GBM) approach, integrated with the gene-pairing method, to predict the prognosis of colon cancer patients. This machine learning model could improve our predictive accuracy for colon cancer outcomes, underscoring its value in the precision oncology framework.
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Affiliation(s)
- Suzhen Bi
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Jie Zhu
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland
| | - Liting Huang
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Wanting Feng
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Lulu Peng
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Liangqi Leng
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Yin Wang
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Peipei Shan
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Weikaixin Kong
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, 00014 Helsinki, Finland
| | - Sujie Zhu
- Institute of Translational Medicine, College of Medicine, Qingdao University, Qingdao 266021, China
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16
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Morosi LG, Piperno GM, López L, Amadio R, Joshi S, Rustighi A, Del Sal G, Benvenuti F. ALCAM-mediated cDC1 CD8 T cells interactions are suppressed in advanced lung tumors. Oncoimmunology 2024; 13:2367843. [PMID: 38887373 PMCID: PMC11181928 DOI: 10.1080/2162402x.2024.2367843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 06/11/2024] [Indexed: 06/20/2024] Open
Abstract
Conventional type 1 dendritic cells (cDC1) are critical regulators of anti-tumoral T-cell responses. The structure and abundance of intercellular contacts between cDC1 and CD8 T cells in cancer tissues is important to determine the outcome of the T-cell response. However, the molecular determinants controlling the stability of cDC1-CD8 interactions during cancer progression remain poorly investigated. Here, we generated a genetic model of non-small cell lung cancer crossed to a fluorescent cDC1 reporter (KP-XCR1venus) to allow the detection of cDC1-CD8T cell clusters in tumor tissues across tumor stages. We found that cDC1-CD8 clusters are abundant and productive at the early stages of tumor development but progressively diminish in advanced tumors. Transcriptional profiling and flow cytometry identified the adhesion molecule ALCAM/CD166 (Activated Leukocyte Cell Adhesion Molecule, ligand of CD6) as highly expressed by lung cDC1 and significantly downregulated in advanced tumors. Analysis of human datasets indicated that ALCAM is downregulated in non-small cell lung cancer and its expression correlates to better prognosis. Mechanistically, triggering ALCAM on lung cDC1 induces cytoskeletal remodeling and contact formation whereas its blockade prevents T-cell activation. Together, our results indicate that ALCAM is important to stabilize cDC1-CD8 interactions at early tumor stages, while its loss in advanced tumors contributes to immune evasion.
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Affiliation(s)
- Luciano G. Morosi
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Giulia M. Piperno
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Lucía López
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Roberto Amadio
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Sonal Joshi
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Alessandra Rustighi
- Department of Life Sciences, University of Trieste, Trieste, Italy
- Cancer Cell Signaling, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
| | - Giannino Del Sal
- Department of Life Sciences, University of Trieste, Trieste, Italy
- Cancer Cell Signaling, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
- IFOM ETS, The AIRC Institute of Molecular Oncology, Milan, Italy
| | - Federica Benvenuti
- Cellular Immunology, International Centre for Genetic Engineering and Biotechnology (ICGEB), Trieste, Italy
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17
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Sawant A, Shi F, Lopes EC, Hu Z, Abdelfattah S, Baul J, Powers J, Hinrichs CS, Rabinowitz JD, Chan CS, Lattime EC, Ganesan S, White E. Immune Checkpoint Blockade Delays Cancer and Extends Survival in Murine DNA Polymerase Mutator Syndromes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.10.597960. [PMID: 38915517 PMCID: PMC11195045 DOI: 10.1101/2024.06.10.597960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Mutations in polymerases Pold1 and Pole exonuclease domains in humans are associated with increased cancer incidence, elevated tumor mutation burden (TMB) and response to immune checkpoint blockade (ICB). Although ICB is approved for treatment of several cancers, not all tumors with elevated TMB respond. Here we generated Pold1 and Pole proofreading mutator mice and show that ICB treatment of mice with high TMB tumors did not improve survival as only a subset of tumors responded. Similarly, introducing the mutator alleles into mice with Kras/p53 lung cancer did not improve survival, however, passaging mutator tumor cells in vitro without immune editing caused rejection in immune-competent hosts, demonstrating the efficiency by which cells with antigenic mutations are eliminated. Finally, ICB treatment of mutator mice earlier, before observable tumors delayed cancer onset, improved survival, and selected for tumors without aneuploidy, suggesting the use of ICB in individuals at high risk for cancer prevention. Highlights Germline somatic and conditional Pold1 and Pole exonuclease domain mutations in mice produce a mutator phenotype. Spontaneous cancers arise in mutator mice that have genomic features comparable to human tumors with these mutations.ICB treatment of mutator mice with tumors did not improve survival as only a subset of tumors respond. Introduction of the mutator alleles into an autochthonous mouse lung cancer model also did not produce immunogenic tumors, whereas passaging mutator tumor cells in vitro caused immune rejection indicating efficient selection against antigenic mutations in vivo . Prophylactic ICB treatment delayed cancer onset, improved survival, and selected for tumors with no aneuploidy.
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18
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Zhang X, An K, Ge X, Sun Y, Wei J, Ren W, Wang H, Wang Y, Du Y, He L, Li O, Zhou S, Shi Y, Ren T, Yang YG, Kan Q, Tian X. NSUN2/YBX1 promotes the progression of breast cancer by enhancing HGH1 mRNA stability through m 5C methylation. Breast Cancer Res 2024; 26:94. [PMID: 38844963 PMCID: PMC11155144 DOI: 10.1186/s13058-024-01847-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 05/21/2024] [Indexed: 06/10/2024] Open
Abstract
BACKGROUND RNA m5C methylation has been extensively implicated in the occurrence and development of tumors. As the main methyltransferase, NSUN2 plays a crucial regulatory role across diverse tumor types. However, the precise impact of NSUN2-mediated m5C modification on breast cancer (BC) remains unclear. Our study aims to elucidate the molecular mechanism underlying how NSUN2 regulates the target gene HGH1 (also known as FAM203) through m5C modification, thereby promoting BC progression. Additionally, this study targets at preliminarily clarifying the biological roles of NSUN2 and HGH1 in BC. METHODS Tumor and adjacent tissues from 5 BC patients were collected, and the m5C modification target HGH1 in BC was screened through RNA sequencing (RNA-seq) and single-base resolution m5C methylation sequencing (RNA-BisSeq). Methylation RNA immunoprecipitation-qPCR (MeRIP-qPCR) and RNA-binding protein immunoprecipitation-qPCR (RIP-qPCR) confirmed that the methylation molecules NSUN2 and YBX1 specifically recognized and bound to HGH1 through m5C modification. In addition, proteomics, co-immunoprecipitation (co-IP), and Ribosome sequencing (Ribo-Seq) were used to explore the biological role of HGH1 in BC. RESULTS As the main m5C methylation molecule, NSUN2 is abnormally overexpressed in BC and increases the overall level of RNA m5C. Knocking down NSUN2 can inhibit BC progression in vitro or in vivo. Combined RNA-seq and RNA-BisSeq analysis identified HGH1 as a potential target of abnormal m5C modifications. We clarified the mechanism by which NSUN2 regulates HGH1 expression through m5C modification, a process that involves interactions with the YBX1 protein, which collectively impacts mRNA stability and protein synthesis. Furthermore, this study is the first to reveal the binding interaction between HGH1 and the translation elongation factor EEF2, providing a comprehensive understanding of its ability to regulate transcript translation efficiency and protein synthesis in BC cells. CONCLUSIONS This study preliminarily clarifies the regulatory role of the NSUN2-YBX1-m5C-HGH1 axis from post-transcriptional modification to protein translation, revealing the key role of abnormal RNA m5C modification in BC and suggesting that HGH1 may be a new epigenetic biomarker and potential therapeutic target for BC.
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Affiliation(s)
- Xuran Zhang
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ke An
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xin Ge
- Department of Breast Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yuanyuan Sun
- Department of Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Jingyao Wei
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Weihong Ren
- Department of Laboratory Medicine, The First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, 450000, China
| | - Han Wang
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yueqin Wang
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yue Du
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Lulu He
- Biobank of the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Ouwen Li
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Shaoxuan Zhou
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yong Shi
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Tong Ren
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yun-Gui Yang
- China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 101408, China.
| | - Quancheng Kan
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China.
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China.
| | - Xin Tian
- Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, No.1 Jianshedong Rd, Zhengzhou, Henan, 450052, China.
- Henan Key Laboratory of Precision Clinical Pharmacy, Zhengzhou University, Zhengzhou, Henan, 450052, China.
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19
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Marinelli D, Sabatini A, Bengala E, Ciurluini F, Picone V, Santini D, Pietrantonio F, Rossini D, Cremolini C. Systemic treatment of mismatch repair deficient/microsatellite instability-high metastatic colorectal cancer-single versus double checkpoint inhibition. ESMO Open 2024; 9:103483. [PMID: 38833965 PMCID: PMC11179058 DOI: 10.1016/j.esmoop.2024.103483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 04/26/2024] [Accepted: 04/30/2024] [Indexed: 06/06/2024] Open
Affiliation(s)
- D Marinelli
- Department of Experimental Medicine, Sapienza Università di Roma, Rome
| | - A Sabatini
- Department of Radiological, Oncological and Pathological Sciences, Sapienza Università di Roma, Rome
| | - E Bengala
- Department of Radiological, Oncological and Pathological Sciences, Sapienza Università di Roma, Rome
| | - F Ciurluini
- Department of Radiological, Oncological and Pathological Sciences, Sapienza Università di Roma, Rome
| | - V Picone
- Division of Medical Oncology, Policlinico Umberto I, Rome
| | - D Santini
- Division of Medical Oncology, Policlinico Umberto I, Rome
| | - F Pietrantonio
- Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan
| | - D Rossini
- Department of Health Sciences, Section of Clinical Pharmacology and Oncology, University of Florence, Florence.
| | - C Cremolini
- Unit of Medical Oncology 2, Azienda Ospedaliera Universitaria Pisana, Pisa; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
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20
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Linette GP, Bear AS, Carreno BM. Facts and Hopes in Immunotherapy Strategies Targeting Antigens Derived from KRAS Mutations. Clin Cancer Res 2024; 30:2017-2024. [PMID: 38266167 PMCID: PMC11094419 DOI: 10.1158/1078-0432.ccr-23-1212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/20/2023] [Accepted: 01/03/2024] [Indexed: 01/26/2024]
Abstract
In this commentary, we advance the notion that mutant KRAS (mKRAS) is an ideal tumor neoantigen that is amenable for targeting by the adaptive immune system. Recent progress highlights key advances on various fronts that validate mKRAS as a molecular target and support further pursuit as an immunological target. Because mKRAS is an intracellular membrane localized protein and not normally expressed on the cell surface, we surmise that proteasome degradation will generate short peptides that bind to HLA class I (HLA-I) molecules in the endoplasmic reticulum for transport through the Golgi for display on the cell surface. T-cell receptors (TCR)αβ and antibodies have been isolated that specifically recognize mKRAS encoded epitope(s) or haptenated-mKRAS peptides in the context of HLA-I on tumor cells. Case reports using adoptive T-cell therapy provide proof of principle that KRAS G12D can be successfully targeted by the immune system in patients with cancer. Among the challenges facing investigators is the requirement of precision medicine to identify and match patients to available mKRAS peptide/HLA therapeutics and to increase the population coverage by targeting additional mKRAS epitopes. Ultimately, we envision mKRAS-directed immunotherapy as an effective treatment option for selected patients that will complement and perhaps synergize with small-molecule mKRAS inhibitors and targeted mKRAS degraders.
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Affiliation(s)
- Gerald P. Linette
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Adham S. Bear
- Division of Hematology-Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Beatriz M. Carreno
- Center for Cellular Immunotherapies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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21
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Leibold J, Tsanov KM, Amor C, Ho YJ, Sánchez-Rivera FJ, Feucht J, Baslan T, Chen HA, Tian S, Simon J, Wuest A, Wilkinson JE, Lowe SW. Somatic mouse models of gastric cancer reveal genotype-specific features of metastatic disease. NATURE CANCER 2024; 5:315-329. [PMID: 38177458 PMCID: PMC10899107 DOI: 10.1038/s43018-023-00686-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 11/10/2023] [Indexed: 01/06/2024]
Abstract
Metastatic gastric carcinoma is a highly lethal cancer that responds poorly to conventional and molecularly targeted therapies. Despite its clinical relevance, the mechanisms underlying the behavior and therapeutic response of this disease are poorly understood owing, in part, to a paucity of tractable models. Here we developed methods to somatically introduce different oncogenic lesions directly into the murine gastric epithelium. Genotypic configurations observed in patients produced metastatic gastric cancers that recapitulated the histological, molecular and clinical features of all nonviral molecular subtypes of the human disease. Applying this platform to both wild-type and immunodeficient mice revealed previously unappreciated links between the genotype, organotropism and immune surveillance of metastatic cells, which produced distinct patterns of metastasis that were mirrored in patients. Our results establish a highly portable platform for generating autochthonous cancer models with flexible genotypes and host backgrounds, which can unravel mechanisms of gastric tumorigenesis or test new therapeutic concepts.
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Affiliation(s)
- Josef Leibold
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Medical Oncology and Pneumology, University Hospital Tuebingen, Tuebingen, Germany.
- iFIT Cluster of Excellence EXC 2180 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tuebingen, Tuebingen, Germany.
| | - Kaloyan M Tsanov
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Corina Amor
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, NY, USA
| | - Yu-Jui Ho
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francisco J Sánchez-Rivera
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Judith Feucht
- iFIT Cluster of Excellence EXC 2180 'Image-Guided and Functionally Instructed Tumor Therapies', University of Tuebingen, Tuebingen, Germany
- Department I-General Paediatrics, Haematology/Oncology, University Children's Hospital Tuebingen, Tuebingen, Germany
| | - Timour Baslan
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Biomedical Sciences, School of Veterinary Medicine, The University of Pennsylvania, Philadelphia, PA, USA
| | - Hsuan-An Chen
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sha Tian
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Janelle Simon
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexandra Wuest
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John E Wilkinson
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Scott W Lowe
- Cancer Biology and Genetics Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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22
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Zdrenka M, Kowalewski A, Ahmadi N, Sadiqi RU, Chmura Ł, Borowczak J, Maniewski M, Szylberg Ł. Refining PD-1/PD-L1 assessment for biomarker-guided immunotherapy: A review. BIOMOLECULES & BIOMEDICINE 2024; 24:14-29. [PMID: 37877810 PMCID: PMC10787614 DOI: 10.17305/bb.2023.9265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/23/2023] [Accepted: 06/23/2023] [Indexed: 10/26/2023]
Abstract
Anti-programmed cell death ligand 1 (anti-PD-L1) immunotherapy is an increasingly crucial in cancer treatment. To date, the Federal Drug Administration (FDA) has approved four PD-L1 immunohistochemistry (IHC) staining protocols, commercially available in the form of "kits", facilitating testing for PD-L1 expression. These kits comprise four PD-L1 antibodies on two separate IHC platforms, each utilizing distinct, non-interchangeable scoring systems. Several factors, including tumor heterogeneity and the size of the tissue specimens assessed, can lead to PD-L1 status misclassification, potentially hindering the initiation of therapy. Therefore, the development of more accurate predictive biomarkers to distinguish between responders and non-responders prior to anti-PD-1/PD-L1 therapy warrants further research. Achieving this goal necessitates refining sampling criteria, enhancing current methods of PD-L1 detection, and deepening our understanding of the impact of additional biomarkers. In this article, we review potential solutions to improve the predictive accuracy of PD-L1 assessment in order to more precisely anticipate patients' responses to anti-PD-1/PD-L1 therapy, monitor disease progression and predict clinical outcomes.
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Affiliation(s)
- Marek Zdrenka
- Department of Tumor Pathology and Pathomorphology, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
| | - Adam Kowalewski
- Department of Tumor Pathology and Pathomorphology, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
| | - Navid Ahmadi
- Department of Cardiothoracic Surgery, Royal Papworth Hospital, Cambridge, UK
| | | | - Łukasz Chmura
- Department of Pathomorphology, Jagiellonian University Medical College, Kraków, Poland
| | - Jędrzej Borowczak
- Department of Obstetrics, Gynaecology and Oncology, Chair of Pathomorphology and Clinical Placentology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Mateusz Maniewski
- Department of Obstetrics, Gynaecology and Oncology, Chair of Pathomorphology and Clinical Placentology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
| | - Łukasz Szylberg
- Department of Tumor Pathology and Pathomorphology, Oncology Centre-Prof. Franciszek Łukaszczyk Memorial Hospital, Bydgoszcz, Poland
- Department of Obstetrics, Gynaecology and Oncology, Chair of Pathomorphology and Clinical Placentology, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, Bydgoszcz, Poland
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23
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Haynes T, Gilbert MR, Breen K, Yang C. Pathways to hypermutation in high-grade gliomas: Mechanisms, syndromes, and opportunities for immunotherapy. Neurooncol Adv 2024; 6:vdae105. [PMID: 39022645 PMCID: PMC11252568 DOI: 10.1093/noajnl/vdae105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2024] Open
Abstract
Despite rapid advances in the field of immunotherapy, including the success of immune checkpoint inhibition in treating multiple cancer types, clinical response in high-grade gliomas (HGGs) has been disappointing. This has been in part attributed to the low tumor mutational burden (TMB) of the majority of HGGs. Hypermutation is a recently characterized glioma signature that occurs in a small subset of cases, which may open an avenue to immunotherapy. The substantially elevated TMB of these tumors most commonly results from alterations in the DNA mismatch repair pathway in the setting of extensive exposure to temozolomide or, less frequently, from inherited cancer predisposition syndromes. In this review, we discuss the genetics and etiology of hypermutation in HGGs, with an emphasis on the resulting genomic signatures, and the state and future directions of immuno-oncology research in these patient populations.
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Affiliation(s)
- Tuesday Haynes
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Maryland, USA
| | - Mark R Gilbert
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Maryland, USA
| | - Kevin Breen
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Maryland, USA
| | - Chunzhang Yang
- Neuro-Oncology Branch, Center for Cancer Research, National Cancer Institute, Maryland, USA
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24
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Lea D, Zaharia C, Søreide K. Programmed death ligand-1 (PD-L1) clone 22C3 expression in resected colorectal cancer as companion diagnostics for immune checkpoint inhibitor therapy: A comparison study and inter-rater agreement evaluation across proposed cut-offs and predictive (TPS, CPS and IC) scores. Cancer Treat Res Commun 2023; 38:100788. [PMID: 38150845 DOI: 10.1016/j.ctarc.2023.100788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/18/2023] [Accepted: 12/21/2023] [Indexed: 12/29/2023]
Abstract
BACKGROUND Expression of programmed death ligand-1 (PD-L1) guides the use of immune checkpoint inhibitors (ICI) in several cancers. In colorectal cancer (CRC), ICI are only approved for metastatic CRC, while several studies suggest high efficacy even in operable CRC. The aim of this study was to investigate the inter-rater agreement of PD-L1 as a companion diagnostic marker. METHODS Specimens from resected stage I-III CRC (n = 166 tumors) were stained with PD-L1 22C3 clone. PD-L1 expression was scored by two pathologists as tumor proportion score (TPS), combined positive score (CPS) and immune cell score (IC). Inter-rater agreement was tested using three different agreement coefficients. RESULTS Raw scores of the two pathologists had 'good' to 'excellent' correlation. Spearman's rho for TPS=0.917 (95 %CI 0.839-0.995), for CPS=0.776 (95 %CI 0.726-0.826) and IC=0.818 (95 %CI 0.761-0.875). For TPS, kappa (κ)-agreements for both the ≥1 % and ≥10 % cutoffs had excellent correlation. For CPS the ≥1 % and ≥10 % cutoffs demonstrated κ=0.32 (95 %CI 0.12-0.51) and κ=0.36 (95 %CI 0.25-0.48) respectively. Cutoffs for IC showed κ=0.53 (95 %CI 0.18-0.79) for the ≥1 % cutoff, and κ=0.61 (95 %CI 0.48-0.73) for the ≥10 % cutoff. Gwet's agreement coefficient (AC1) showed higher agreement coefficients than κ-values for most, but not all cut-offs. CONCLUSION Agreement for PD-L1 was good to excellent for raw scores. Agreement variation across several criteria and cut-offs suggests the need for more robust criteria for PD-L1 as a companion diagnostic marker.
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Affiliation(s)
- Dordi Lea
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway; Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Claudia Zaharia
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway; Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Kjetil Søreide
- Gastrointestinal Translational Research Group, Laboratory for Molecular Medicine, Stavanger University Hospital, Stavanger, Norway; Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway.
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25
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Yang D, Duan Z, Yuan P, Ding C, Dai X, Chen G, Wu D. How does TCR-T cell therapy exhibit a superior anti-tumor efficacy. Biochem Biophys Res Commun 2023; 687:149209. [PMID: 37944471 DOI: 10.1016/j.bbrc.2023.149209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 10/26/2023] [Accepted: 10/31/2023] [Indexed: 11/12/2023]
Abstract
TCR-engineered T cells have achieved great progress in solid tumor therapy, some of which have been applicated in clinical trials. Deep knowledge about the current progress of TCR-T in tumor therapy would be beneficial to understand the direction. Here, we classify tumor antigens into tumor-associated antigens, tumor-specific antigens, tumor antigens expressed by oncogenic viruses, and tumor antigens caused by abnormal protein modification; Then we detail the TCR-T cell therapy effects targeting those tumor antigens in clinical or preclinical trials, and propose that neoantigen specific TCR-T cell therapy is expected to be a promising approach for solid tumors; Furthermore, we summarize the optimization strategies, such as tumor microenvironment, TCR pairing and affinity, to improve the therapeutic effect of TCR-T. Overall, this review provides inspiration for the antigen selection and therapy strategies of TCR-T in the future.
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Affiliation(s)
- Dandan Yang
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Zhihui Duan
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Ping Yuan
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Chengming Ding
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Xiaoming Dai
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Guodong Chen
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
| | - Daichao Wu
- Laboratory of Structural Immunology, Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China.
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26
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Pang Z, Lu MM, Zhang Y, Gao Y, Bai JJ, Gu JY, Xie L, Wu WZ. Neoantigen-targeted TCR-engineered T cell immunotherapy: current advances and challenges. Biomark Res 2023; 11:104. [PMID: 38037114 PMCID: PMC10690996 DOI: 10.1186/s40364-023-00534-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 10/22/2023] [Indexed: 12/02/2023] Open
Abstract
Adoptive cell therapy using T cell receptor-engineered T cells (TCR-T) is a promising approach for cancer therapy with an expectation of no significant side effects. In the human body, mature T cells are armed with an incredible diversity of T cell receptors (TCRs) that theoretically react to the variety of random mutations generated by tumor cells. The outcomes, however, of current clinical trials using TCR-T cell therapies are not very successful especially involving solid tumors. The therapy still faces numerous challenges in the efficient screening of tumor-specific antigens and their cognate TCRs. In this review, we first introduce TCR structure-based antigen recognition and signaling, then describe recent advances in neoantigens and their specific TCR screening technologies, and finally summarize ongoing clinical trials of TCR-T therapies against neoantigens. More importantly, we also present the current challenges of TCR-T cell-based immunotherapies, e.g., the safety of viral vectors, the mismatch of T cell receptor, the impediment of suppressive tumor microenvironment. Finally, we highlight new insights and directions for personalized TCR-T therapy.
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Affiliation(s)
- Zhi Pang
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Man-Man Lu
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Yu Zhang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Yuan Gao
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China
| | - Jin-Jin Bai
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jian-Ying Gu
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Lu Xie
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, 200237, China.
| | - Wei-Zhong Wu
- Liver Cancer Institute, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Clinical Center for Biotherapy, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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27
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Cohen Shvefel S, Pai JA, Cao Y, Pal LR, Levy R, Yao W, Cheng K, Zemanek M, Bartok O, Weller C, Yin Y, Du PP, Yakubovich E, Orr I, Ben-Dor S, Oren R, Fellus-Alyagor L, Golani O, Goliand I, Ranmar D, Savchenko I, Ketrarou N, Schäffer AA, Ruppin E, Satpathy AT, Samuels Y. Temporal genomic analysis of melanoma rejection identifies regulators of tumor immune evasion. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.29.569032. [PMID: 38077050 PMCID: PMC10705560 DOI: 10.1101/2023.11.29.569032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Decreased intra-tumor heterogeneity (ITH) correlates with increased patient survival and immunotherapy response. However, even highly homogenous tumors may display variability in their aggressiveness, and how immunologic-factors impinge on their aggressiveness remains understudied. Here we studied the mechanisms responsible for the immune-escape of murine tumors with low ITH. We compared the temporal growth of homogeneous, genetically-similar single-cell clones that are rejected vs. those that are not-rejected after transplantation in-vivo using single-cell RNA sequencing and immunophenotyping. Non-rejected clones showed high infiltration of tumor-associated-macrophages (TAMs), lower T-cell infiltration, and increased T-cell exhaustion compared to rejected clones. Comparative analysis of rejection-associated gene expression programs, combined with in-vivo CRISPR knockout screens of candidate mediators, identified Mif (macrophage migration inhibitory factor) as a regulator of immune rejection. Mif knockout led to smaller tumors and reversed non-rejection-associated immune composition, particularly, leading to the reduction of immunosuppressive macrophage infiltration. Finally, we validated these results in melanoma patient data.
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Affiliation(s)
- Sapir Cohen Shvefel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Joy A Pai
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Yingying Cao
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Lipika R Pal
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Ronen Levy
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Winnie Yao
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Kuoyuan Cheng
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
- MSD R&D (China) Co., Ltd
| | - Marie Zemanek
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Osnat Bartok
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Chen Weller
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yajie Yin
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Peter P Du
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Elizabeta Yakubovich
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Irit Orr
- Bioinformatics Unit, Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Shifra Ben-Dor
- Bioinformatics Unit, Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Roni Oren
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Liat Fellus-Alyagor
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Ofra Golani
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Inna Goliand
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Dean Ranmar
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ilya Savchenko
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Nadav Ketrarou
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Alejandro A Schäffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University, Stanford, CA, USA
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
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28
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Brooksbank K, Martin SA. DNA mismatch repair deficient cancer - Emerging biomarkers of resistance to immune checkpoint inhibition. Int J Biochem Cell Biol 2023; 164:106477. [PMID: 37862741 DOI: 10.1016/j.biocel.2023.106477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/05/2023] [Accepted: 10/08/2023] [Indexed: 10/22/2023]
Abstract
The DNA mismatch repair pathway is involved in the identification, excision, and repair of base-base mismatches and indel loops in the genome. Mismatch repair deficiency occurs in approximately 20% of all cancers and results in a type of DNA damage called microsatellite instability. In 2017, the immune checkpoint inhibitor, Pembrolizumab, an anti-PD-1 therapy, was approved for use in all unresectable or metastatic tumours that were mismatch repair deficient or had high microsatellite instability regardless of tissue origin. This landmark approval was the first time a drug had been approved in a site agnostic way, but accumulating data has revealed that up to 50% of mismatch repair deficient tumours are refractory to treatment and there is a huge amount of variability in the therapeutic benefit amongst responders. Several mechanisms of resistance to immune checkpoint blockade for mismatch repair deficient cancers have been identified but our understanding of what is driving resistance in a proportion of patients remains lacking. In this review article, we discuss the emerging mechanisms of resistance which may enable optimal stratification of patients for treatment with immune checkpoint inhibitors in the future.
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Affiliation(s)
- Kirsten Brooksbank
- Centre for Cancer Cell & Molecular Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Sarah A Martin
- Centre for Cancer Cell & Molecular Biology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK.
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29
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Reading JL, Caswell DR, Swanton C. Tumor heterogeneity impairs immunogenicity in mismatch repair deficient tumors. Nat Genet 2023; 55:1610-1612. [PMID: 37758959 DOI: 10.1038/s41588-023-01492-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Affiliation(s)
- James L Reading
- Pre-Cancer Immunology Laboratory, UCL Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
| | - Deborah R Caswell
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, London, UK.
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
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30
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Wang M, Ran X, Leung W, Kawale A, Saxena S, Ouyang J, Patel PS, Dong Y, Yin T, Shu J, Manguso RT, Lan L, Wang XF, Lawrence MS, Zou L. ATR inhibition induces synthetic lethality in mismatch repair-deficient cells and augments immunotherapy. Genes Dev 2023; 37:929-943. [PMID: 37932012 PMCID: PMC10691477 DOI: 10.1101/gad.351084.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/27/2023] [Indexed: 11/08/2023]
Abstract
The mismatch repair (MMR) deficiency of cancer cells drives mutagenesis and offers a useful biomarker for immunotherapy. However, many MMR-deficient (MMR-d) tumors do not respond to immunotherapy, highlighting the need for alternative approaches to target MMR-d cancer cells. Here, we show that inhibition of the ATR kinase preferentially kills MMR-d cancer cells. Mechanistically, ATR inhibitor (ATRi) imposes synthetic lethality on MMR-d cells by inducing DNA damage in a replication- and MUS81 nuclease-dependent manner. The DNA damage induced by ATRi is colocalized with both MSH2 and PCNA, suggesting that it arises from DNA structures recognized by MMR proteins during replication. In syngeneic mouse models, ATRi effectively reduces the growth of MMR-d tumors. Interestingly, the antitumor effects of ATRi are partially due to CD8+ T cells. In MMR-d cells, ATRi stimulates the accumulation of nascent DNA fragments in the cytoplasm, activating the cGAS-mediated interferon response. The combination of ATRi and anti-PD-1 antibody reduces the growth of MMR-d tumors more efficiently than ATRi or anti-PD-1 alone, showing the ability of ATRi to augment the immunotherapy of MMR-d tumors. Thus, ATRi selectively targets MMR-d tumor cells by inducing synthetic lethality and enhancing antitumor immunity, providing a promising strategy to complement and augment MMR deficiency-guided immunotherapy.
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Affiliation(s)
- Mingchao Wang
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
- Cutaneous Biology Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Xiaojuan Ran
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina 27708, USA
| | - Wendy Leung
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Ajinkya Kawale
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Sneha Saxena
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Jian Ouyang
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina 27708, USA
| | - Parasvi S Patel
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Yuting Dong
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Tao Yin
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina 27708, USA
| | - Jian Shu
- Cutaneous Biology Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Robert T Manguso
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Li Lan
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
- Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129, USA
| | - Xiao-Fan Wang
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina 27708, USA
| | - Michael S Lawrence
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA
| | - Lee Zou
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, Massachusetts 02129, USA;
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina 27708, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
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31
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Zong D, Koussa NC, Cornwell JA, Pankajam AV, Kruhlak MJ, Wong N, Chari R, Cappell SD, Nussenzweig A. Comprehensive mapping of cell fates in microsatellite unstable cancer cells supports dual targeting of WRN and ATR. Genes Dev 2023; 37:913-928. [PMID: 37932011 PMCID: PMC10691471 DOI: 10.1101/gad.351085.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/10/2023] [Indexed: 11/08/2023]
Abstract
Addiction to the WRN helicase is a unique vulnerability of human cancers with high levels of microsatellite instability (MSI-H). However, while prolonged loss of WRN ultimately leads to cell death, little is known about how MSI-H cancers initially respond to acute loss of WRN-knowledge that would be helpful for informing clinical development of WRN targeting therapy, predicting possible resistance mechanisms, and identifying useful biomarkers of successful WRN inhibition. Here, we report the construction of an inducible ligand-mediated degradation system in which the stability of endogenous WRN protein can be rapidly and specifically tuned, enabling us to track the complete sequence of cellular events elicited by acute loss of WRN function. We found that WRN degradation leads to immediate accrual of DNA damage in a replication-dependent manner that curiously did not robustly engage checkpoint mechanisms to halt DNA synthesis. As a result, WRN-degraded MSI-H cancer cells accumulate DNA damage across multiple replicative cycles and undergo successive rounds of increasingly aberrant mitoses, ultimately triggering cell death. Of potential therapeutic importance, we found no evidence of any generalized mechanism by which MSI-H cancers could adapt to near-complete loss of WRN. However, under conditions of partial WRN degradation, addition of low-dose ATR inhibitor significantly increased their combined efficacy to levels approaching full inactivation of WRN. Overall, our results provide the first comprehensive view of molecular events linking upstream inhibition of WRN to subsequent cell death and suggest that dual targeting of WRN and ATR might be a useful strategy for treating MSI-H cancers.
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Affiliation(s)
- Dali Zong
- Laboratory of Genome Integrity, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Natasha C Koussa
- Laboratory of Genome Integrity, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - James A Cornwell
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Ajith V Pankajam
- Laboratory of Genome Integrity, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Michael J Kruhlak
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Nancy Wong
- Laboratory of Genome Integrity, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Raj Chari
- Genome Modification Core, Frederick National Laboratory for Cancer Research, Frederick, Maryland 21701, USA
| | - Steven D Cappell
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - André Nussenzweig
- Laboratory of Genome Integrity, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, USA;
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32
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Harrold EC, Foote MB, Rousseau B, Walch H, Kemel Y, Richards AL, Keane F, Cercek A, Yaeger R, Rathkopf D, Segal NH, Patel Z, Maio A, Borio M, O'Reilly EM, Reidy D, Desai A, Janjigian YY, Murciano-Goroff YR, Carlo MI, Latham A, Liu YL, Walsh MF, Ilson D, Rosenberg JE, Markowitz AJ, Weiser MR, Rossi AM, Vanderbilt C, Mandelker D, Bandlamudi C, Offit K, Berger MF, Solit DB, Saltz L, Shia J, Diaz LA, Stadler ZK. Neoplasia risk in patients with Lynch syndrome treated with immune checkpoint blockade. Nat Med 2023; 29:2458-2463. [PMID: 37845474 PMCID: PMC10870255 DOI: 10.1038/s41591-023-02544-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 08/15/2023] [Indexed: 10/18/2023]
Abstract
Metastatic and localized mismatch repair-deficient (dMMR) tumors are exquisitely sensitive to immune checkpoint blockade (ICB). The ability of ICB to prevent dMMR malignant or pre-malignant neoplasia development in patients with Lynch syndrome (LS) is unknown. Of 172 cancer-affected patients with LS who had received ≥1 ICB cycles, 21 (12%) developed subsequent malignancies after ICB exposure, 91% (29/32) of which were dMMR, with median time to development of 21 months (interquartile range, 6-38). Twenty-four of 61 (39%) ICB-treated patients who subsequently underwent surveillance colonoscopy had premalignant polyps. Within matched pre-ICB and post-ICB follow-up periods, the overall rate of tumor development was unchanged; however, on subgroup analysis, a decreased incidence of post-ICB visceral tumors was observed. These data suggest that ICB treatment of LS-associated tumors does not eliminate risk of new neoplasia development, and LS-specific surveillance strategies should continue. These data have implications for immunopreventative strategies and provide insight into the immunobiology of dMMR tumors.
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Affiliation(s)
- Emily C Harrold
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael B Foote
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Benoit Rousseau
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Henry Walch
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yelena Kemel
- Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Allison L Richards
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fergus Keane
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrea Cercek
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Rona Yaeger
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Dana Rathkopf
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Neil H Segal
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Zalak Patel
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anna Maio
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matilde Borio
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eileen M O'Reilly
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Diane Reidy
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Avni Desai
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Yelena Y Janjigian
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Yonina R Murciano-Goroff
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Maria I Carlo
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alicia Latham
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ying L Liu
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Walsh
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David Ilson
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Jonathan E Rosenberg
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Arnold J Markowitz
- Weill Cornell Medical College, New York, NY, USA
- Gastroenterology, Hepatology and Nutrition Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martin R Weiser
- Weill Cornell Medical College, New York, NY, USA
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anthony M Rossi
- Weill Cornell Medical College, New York, NY, USA
- Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chad Vanderbilt
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Diana Mandelker
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Chaitanya Bandlamudi
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Offit
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Berger
- Weill Cornell Medical College, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David B Solit
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Leonard Saltz
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Jinru Shia
- Weill Cornell Medical College, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Luis A Diaz
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Zsofia K Stadler
- Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Weill Cornell Medical College, New York, NY, USA.
- Niehaus Center for Inherited Cancer Genomics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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33
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Ashouri A, Zhang C, Gaiti F. Decoding Cancer Evolution: Integrating Genetic and Non-Genetic Insights. Genes (Basel) 2023; 14:1856. [PMID: 37895205 PMCID: PMC10606072 DOI: 10.3390/genes14101856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 09/19/2023] [Accepted: 09/22/2023] [Indexed: 10/29/2023] Open
Abstract
The development of cancer begins with cells transitioning from their multicellular nature to a state akin to unicellular organisms. This shift leads to a breakdown in the crucial regulators inherent to multicellularity, resulting in the emergence of diverse cancer cell subpopulations that have enhanced adaptability. The presence of different cell subpopulations within a tumour, known as intratumoural heterogeneity (ITH), poses challenges for cancer treatment. In this review, we delve into the dynamics of the shift from multicellularity to unicellularity during cancer onset and progression. We highlight the role of genetic and non-genetic factors, as well as tumour microenvironment, in promoting ITH and cancer evolution. Additionally, we shed light on the latest advancements in omics technologies that allow for in-depth analysis of tumours at the single-cell level and their spatial organization within the tissue. Obtaining such detailed information is crucial for deepening our understanding of the diverse evolutionary paths of cancer, allowing for the development of effective therapies targeting the key drivers of cancer evolution.
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Affiliation(s)
- Arghavan Ashouri
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
| | - Chufan Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
| | - Federico Gaiti
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2M9, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON M5G 1L7, Canada
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34
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Cornista AM, Giolito MV, Baker K, Hazime H, Dufait I, Datta J, Khumukcham SS, De Ridder M, Roper J, Abreu MT, Breckpot K, Van der Jeught K. Colorectal Cancer Immunotherapy: State of the Art and Future Directions. GASTRO HEP ADVANCES 2023; 2:1103-1119. [PMID: 38098742 PMCID: PMC10721132 DOI: 10.1016/j.gastha.2023.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
Cancer immunotherapy has become an indispensable mode of treatment for a multitude of solid tumor cancers. Colorectal cancer (CRC) has been one of the many cancer types to benefit from immunotherapy, especially in advanced disease where standard treatment fails to prevent recurrence or results in poor survival. The efficacy of immunotherapy in CRC has not been without challenge, as early clinical trials observed dismal responses in unselected CRC patients treated with checkpoint inhibitors. Many studies and clinical trials have since refined immunotherapies available for CRC, solidifying immunotherapy as a powerful asset for CRC treatment. This review article examines CRC immunotherapies, from their foundation, through emerging avenues for improvement, to future directions.
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Affiliation(s)
- Alyssa Mauri Cornista
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, Florida
| | - Maria Virginia Giolito
- Department of Biomedical Sciences, Vrije Universiteit Brussel, Laboratory for Molecular and Cellular Therapy, Brussels, Belgium
| | - Kristi Baker
- Department of Oncology, University of Alberta, Edmonton, Canada
- Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, Canada
| | - Hajar Hazime
- Division of Gastroenterology, University of Miami Miller School of Medicine, Miami, Florida
| | - Inès Dufait
- Department of Radiotherapy, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jashodeep Datta
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
- Division of Surgical Oncology, Dewitt Daughtry Department of Surgery, University of Miami Miller School of Medicine, Miami, Florida
| | - Saratchandra Singh Khumukcham
- Division of Gastroenterology, Department of Medicine, Duke University, Durham, North Carolina
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina
| | - Mark De Ridder
- Department of Radiotherapy, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Jatin Roper
- Division of Gastroenterology, Department of Medicine, Duke University, Durham, North Carolina
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina
| | - Maria T. Abreu
- Division of Gastroenterology, University of Miami Miller School of Medicine, Miami, Florida
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
| | - Karine Breckpot
- Department of Biomedical Sciences, Vrije Universiteit Brussel, Laboratory for Molecular and Cellular Therapy, Brussels, Belgium
| | - Kevin Van der Jeught
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, Florida
- Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida
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