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Hsu R, Al-Zubeidy B, Flores D, Nazarian A, Baugh A, Gonzalez E, Castanon S, Xiu J, Kang I, Spicer D, Lenz HJ, Dara L, Ademuyiwa FO, Korn WM, Irshad S, Chan IS, Roussos Torres ET. Evaluation of markers of immunity in different metastatic immune microenvironments suggests more suppression within breast to liver metastases in breast cancer. Breast Cancer Res Treat 2024; 206:245-259. [PMID: 38643348 PMCID: PMC11182800 DOI: 10.1007/s10549-024-07295-w] [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: 08/05/2023] [Accepted: 02/09/2024] [Indexed: 04/22/2024]
Abstract
PURPOSE Programmed death receptor ligand-1 (PD-L1) expression and tumor mutational burden (TMB) are approved screening biomarkers for immune checkpoint inhibition (ICI) in advanced triple negative breast cancer. We examined these biomarkers along with characterization of the tumor microenvironment (TME) between breast tumors (BrTs), axillary metastases (AxMs), liver metastases (LvMs), non-axillary lymph node metastases, and non-liver metastases to determine differences related to site of metastatic disease. METHODS 3076 unpaired biopsies from breast cancer patients were analyzed using whole transcriptome sequencing and NextGen DNA depicting TMB within tumor sites. The PD-L1 positivity was determined with VENTANA PD-L1 (SP142) assay. The immune cell fraction within the TME was calculated by QuantiSeq and MCP-counter. RESULTS Compared to BrT, more LvM samples had a high TMB (≥ 10 mutations/Mb) and fewer LvM samples had PD-L1+ expression. Evaluation of the TME revealed that LvM sites harbored lower infiltration of adaptive immune cells, such as CD4+, CD8+, and regulatory T-cells compared with the BrT foci. We saw differences in innate immune cell infiltration in LvM compared to BrT, including neutrophils and NK cells. CONCLUSIONS LvMs are less likely to express PD-L1+ tumor cells but more likely to harbor high TMB as compared to BrTs. Unlike AxMs, LvMs represent a more immunosuppressed TME and demonstrate lower gene expression associated with adaptive immunity compared to BrTs. These findings suggest biopsy site be considered when interpreting results that influence ICI use for treatment and further investigation of immune composition and biomarkers expression by metastatic site.
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Affiliation(s)
- Robert Hsu
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Batul Al-Zubeidy
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Daniel Flores
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ari Nazarian
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Aaron Baugh
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Edgar Gonzalez
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sofi Castanon
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Irene Kang
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Medical Oncology & Therapeutics Research, City of Hope Orange County, Irvine, CA, USA
| | - Darcy Spicer
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Heinz Josef Lenz
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lily Dara
- Division of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | | | - Sheeba Irshad
- School of Cancer & Pharmaceutical Sciences, King's College London, Cancer Research UK (CRUK) Clinician Scientist, London, UK
| | - Isaac S Chan
- Division of Hematology and Oncology, Department of Internal Medicine, University of Texas Southwestern, Dallas, TX, USA
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Evanthia T Roussos Torres
- Division of Medical Oncology, Department of Medicine, University of Southern California Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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2
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Abbott AG, Meyers DE, Elmi-Assadzadeh G, Stukalin I, Marro A, Puloski SKT, Morris DG, Cheung WY, Monument MJ. Effectiveness of immune checkpoint inhibitor therapy on bone metastases in non-small-cell lung cancer. Front Immunol 2024; 15:1379056. [PMID: 38957472 PMCID: PMC11217176 DOI: 10.3389/fimmu.2024.1379056] [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: 01/30/2024] [Accepted: 05/29/2024] [Indexed: 07/04/2024] Open
Abstract
Background Bone metastases (BoMs) are prevalent in patients with metastatic non-small-cell lung cancer (NSCLC) however, there are limited data detailing how BoMs respond to immune checkpoint inhibitors (ICIs). The purpose of this study was to compare the imaging response to ICIs of BoMs against visceral metastases and to evaluate the effect of BoMs on survival. Materials and methods A retrospective, multicentre cohort study was conducted in patients with NSCLC treated with nivolumab or pembrolizumab in Alberta, Canada from 2015 to 2020. The primary endpoint was the real-world organ specific progression free survival (osPFS) of bone versus visceral metastases. Visceral metastases were categorized as adrenal, brain, liver, lung, lymph node, or other intra-abdominal lesions. The secondary outcome was overall survival (OS) amongst patients with and without BoMs. Results A total of 573 patients were included of which all patients had visceral metastases and 243 patients (42.4%) had BoMs. High PD-L1 expression was identified in 268 patients (46.8%). No significant difference in osPFS was observed between bone, liver, and intra-abdominal metastases (p=0.20 and p=0.76, respectively), with all showing shorter osPFS than other disease sites. There was no difference in the osPFS of extra-thoracic sites of disease in patients with high PD-L1 expression. There was significant discordance between visceral disease response and bone disease response to ICI (p=0.047). The presence of BoMs was an independent poor prognostic factor for OS (HR 1.26, 95%CI: 1.05-1.53, p=0.01). Conclusion Metastatic bone, liver, and intra-abdominal lesions demonstrated inferior clinical responses to ICI relative to other sites of disease. Additionally, the presence of bone and liver metastases were independent poor prognostic factors for overall survival. This real-world data suggests that BoMs respond poorly to ICI and may require treatment adjuncts for disease control.
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Affiliation(s)
- Annalise G. Abbott
- Section of Orthopaedic Surgery, University of Calgary, Calgary, AB, Canada
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
| | - Daniel E. Meyers
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | | | - Igor Stukalin
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - Alessandro Marro
- Departmenmt of Radiology, University of Calgary, Calgary, AB, Canada
| | - Shannon K. T. Puloski
- Section of Orthopaedic Surgery, University of Calgary, Calgary, AB, Canada
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
- McCaig Bone & Joint Institute, University of Calgary, Calgary, AB, Canada
| | - Don G. Morris
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - Winson Y. Cheung
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - Michael J. Monument
- Section of Orthopaedic Surgery, University of Calgary, Calgary, AB, Canada
- Arnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB, Canada
- McCaig Bone & Joint Institute, University of Calgary, Calgary, AB, Canada
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3
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Sun Z, Xiao X, Liang S, Ma H, Sun Y, Zhao L, Wang C, Chang X, Zhao H, Guo H, Zhang Z. Consistency Analysis of Programmed Death Ligand 1 Expression in Non-Small Cell Lung Cancer Between Pleural Effusion and Matched Primary Lung Cancer Tissues by Immunohistochemical Double Staining. J Transl Med 2024; 104:102058. [PMID: 38626874 DOI: 10.1016/j.labinv.2024.102058] [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: 02/14/2024] [Accepted: 04/05/2024] [Indexed: 05/12/2024] Open
Abstract
In clinical practice, programmed death ligand 1 (PD-L1) detection is prone to nonspecific staining due to the complex cellular composition of pleural effusion smears. In this study, diaminobenzidine (DAB) and 3-amino-9-ethylcarbazole (AEC) immunohistochemistry double staining was performed to investigate PD-L1 expression in tumor cells from malignant pleural effusion (MPE). MPE was considered as a metastasis in non-small cell lung cancer patients; thus, the heterogeneity between metastatic and primary lung cancer was revealed as well. Ninety paired specimens of MPE cell blocks and matched primary lung cancer tissues from non-small cell lung cancer patients were subjected to PD-L1 and thyroid transcription factor-1(TTF-1)/p63 immunohistochemistry double staining. Two experienced pathologists independently evaluated PD-L1 expression using 3 cutoffs (1%, 10%, and 50%). PD-L1 expression in MPE was strongly correlated with that in matched primary lung cancer tissues (R = 0.813; P < .001). Using a 4-tier scale (cutoffs: 1%, 10%, and 50%), the concordance was 71.1% (Cohen's κ = .534). Using a 2-tier scale, the concordance was 75.6% (1%, Cohen's κ = 0.53), 78.9% (10%, Cohen's κ = 0.574), and 95.6% (50%, Cohen's κ = 0.754). The rates of PD-L1 positivity in MPE (56.7%) were higher than that in lung tissues (32.2%). All 27 discordant cases had higher scores in MPE. The double-staining method provided superior identification of PD-L1-positive tumor cells on a background with nonspecific staining. In conclusion, PD-L1 expression was moderately concordant between metastatic MPE cell blocks and matched primary lung carcinoma tissues, with variability related to tumor heterogeneity. MPE should be considered to detect PD-L1 when histological specimens are unattainable, especially when PD-L1 expression is >50%. PD-L1 positivity rates were higher in MPE. Double staining can improve PD-L1 detection by reducing false-negative/positive results.
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Affiliation(s)
- Zihan Sun
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoyue Xiao
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shuo Liang
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Haiyue Ma
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yue Sun
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Linlin Zhao
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Cong Wang
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinxiang Chang
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huan Zhao
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Huiqin Guo
- Cytopathology Section, Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhihui Zhang
- Cytopathology Section, Department of Pathology, 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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4
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Liu X, Miao R, Liu K, Xie Q, Zheng P, Zhu J, Zhang Y, Peng F. Panoramic analysis of cell death patterns reveals prognostic and immune profiles of head and neck squamous cell carcinoma. Am J Cancer Res 2024; 14:2584-2607. [PMID: 38859838 PMCID: PMC11162683 DOI: 10.62347/pmda6193] [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: 02/21/2024] [Accepted: 05/15/2024] [Indexed: 06/12/2024] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) has been characterized by a low therapeutic response and poor prognosis. Currently, there are no reliable predictive models for HNSCC progression and therapeutic efficacy. This study explores the role of diverse patterns of cell death in tumor development, positing them as predictive factors of HNSCC prognosis. We utilized bulk transcriptome and single-cell transcriptome, align with clinical information from TCGA and GEO database, to analyze genes associated with 15 types of cell death and construct a cell death index (CDI) signature. The associations of CDI with tumor-infiltrating immune cells and immunotherapy-related biomarkers were also evaluated using various algorithms. The CDI signature emerged as a robust prognosis biomarker that could identify patients who can benefit potentially from immunotherapy, thus improving diagnostic accuracy and optimizing clinical decisions in HNSCC management. Notably, we discovered that CAAP1 deficiency not only induced apoptosis but also enhanced anti-tumor immunity, suggesting its potential as a target for clinical drug development.
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Affiliation(s)
- Xinyu Liu
- Department of Otolaryngology Head and Neck Surgery, Loudi Central HospitalLoudi 417011, Hunan, The People’s Republic of China
| | - Rui Miao
- Department of Otolaryngology Head and Neck Surgery, Xiangya Hospital, Central South UniversityNo. 87 Xiangya Road, Changsha 410008, Hunan, The People’s Republic of China
- Otolaryngology Major Disease Research Key Laboratory of Hunan ProvinceNo. 87 Xiangya Road, Changsha 410008, Hunan, The People’s Republic of China
| | - Kui Liu
- Department of Otolaryngology Head and Neck Surgery, Loudi Central HospitalLoudi 417011, Hunan, The People’s Republic of China
| | - Qun Xie
- Department of Otolaryngology Head and Neck Surgery, Loudi Central HospitalLoudi 417011, Hunan, The People’s Republic of China
| | - Penghui Zheng
- Department of Otolaryngology Head and Neck Surgery, Loudi Central HospitalLoudi 417011, Hunan, The People’s Republic of China
| | - Junai Zhu
- Department of Gastroenterology, The Chinese University of Hong KongHong Kong SAR, China
| | - Ying Zhang
- Department of Otolaryngology Head and Neck Surgery, Loudi Central HospitalLoudi 417011, Hunan, The People’s Republic of China
| | - Fusen Peng
- Department of Otolaryngology Head and Neck Surgery, Loudi Central HospitalLoudi 417011, Hunan, The People’s Republic of China
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5
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He Y, Zhu M, Lai X, Zhang H, Jiang W. The roles of PD-L1 in the various stages of tumor metastasis. Cancer Metastasis Rev 2024:10.1007/s10555-024-10189-4. [PMID: 38733457 DOI: 10.1007/s10555-024-10189-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 05/08/2024] [Indexed: 05/13/2024]
Abstract
The interaction between tumor programmed death ligand 1 (PD-L1) and T-cell programmed cell death 1 (PD-1) has long been acknowledged as a mechanism for evading immune surveillance. Recent studies, however, have unveiled a more nuanced role of tumor-intrinsic PD-L1 in reprograming tumoral phenotypes. Preclinical models emphasize the synchronized effects of both intracellular and extracellular PD-L1 in promoting metastasis, with intricate interactions with the immune system. This review aims to summarize recent findings to elucidate the spatiotemporal heterogeneity of PD-L1 expression and the pro-metastatic roles of PD-L1 in the entire process of tumor metastasis. For example, PD-L1 regulates the epithelial-to-mesenchymal transition (EMT) process, facilitates the survival of circulating tumor cells, and induces the formation of immunosuppressive environments at pre-metastatic niches and metastatic sites. And the complexed and dynamic regulation process of PD-L1 for tumor metastasis is related to the spatiotemporal heterogeneity of PD-L1 expression and functions from tumor primary sites to various metastatic sites. This review extends the current understandings for the roles of PD-L1 in mediating tumor metastasis and provides new insights into therapeutic decisions in clinical practice.
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Affiliation(s)
- Yinjun He
- Department of Colorectal Surgery, First Affiliated Hospital, Zhejiang University Medical School, Hangzhou, 310009, China
- Department of Pathology, Zhejiang University Medical School, Hangzhou, 310058, China
| | - Ming Zhu
- Department of Pathology, Zhejiang University Medical School, Hangzhou, 310058, China
| | - Xuan Lai
- Department of Pathology, Zhejiang University Medical School, Hangzhou, 310058, China
| | - Honghe Zhang
- Department of Pathology, Zhejiang University Medical School, Hangzhou, 310058, China.
| | - Weiqin Jiang
- Department of Colorectal Surgery, First Affiliated Hospital, Zhejiang University Medical School, Hangzhou, 310009, China.
- Department of Pathology, Zhejiang University Medical School, Hangzhou, 310058, China.
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6
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Zhu L, Yu X, Tang X, Hu C, Wu L, Liu Y, Zhou Q. Evolving landscape of treatments targeting the microenvironment of liver metastases in non-small cell lung cancer. Chin Med J (Engl) 2024; 137:1019-1032. [PMID: 38251678 PMCID: PMC11062672 DOI: 10.1097/cm9.0000000000002981] [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: 12/05/2023] [Indexed: 01/23/2024] Open
Abstract
ABSTRACT Liver metastases (LMs) are common in lung cancer. Despite substantial advances in diagnosis and treatment, the survival rate of patients with LM remains low as the immune-suppressive microenvironment of the liver allows tumor cells to evade the immune system. The impact of LMs on the outcomes of immune checkpoint inhibitors in patients with solid tumors has been the main focus of recent translational and clinical research. Growing evidence indicates that the hepatic microenvironment delivers paracrine and autocrine signals from non-parenchymal and parenchymal cells. Overall, these microenvironments create pre- and post-metastatic conditions for the progression of LMs. Herein, we reviewed the epidemiology, physiology, pathology and immunology, of LMs associated with non-small cell lung cancer and the role and potential targets of the liver microenvironment in LM in each phase of metastasis. Additionally, we reviewed the current treatment strategies and challenges that should be overcome in preclinical and clinical investigations. These approaches target liver elements as the basis for future clinical trials, including combinatorial interventions reported to resolve hepatic immune suppression, such as immunotherapy plus chemotherapy, immunotherapy plus radiotherapy, immunotherapy plus anti-angiogenesis therapy, and surgical resection.
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Affiliation(s)
- Lingling Zhu
- Lung Cancer Center, Lung Cancer Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Key Laboratory of Drug Targeting and Drug Delivery Systems, Ministry of Education, West China School of Pharmacy, College of Polymer Science and Engineering, Sichuan University, Chengdu, Sichuan 610041, China
| | - Xianzhe Yu
- Department of Gastrointestinal Surgery, Chengdu Second People’s Hospital, Chengdu, Sichuan 610041, China
| | - Xiaojun Tang
- Lung Cancer Center, Lung Cancer Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Chenggong Hu
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Lei Wu
- Core Facility of West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yanyang Liu
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qinghua Zhou
- Lung Cancer Center, Lung Cancer Institute, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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7
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Geukens T, De Schepper M, Van Den Bogaert W, Van Baelen K, Maetens M, Pabba A, Mahdami A, Leduc S, Isnaldi E, Nguyen HL, Bachir I, Hajipirloo M, Zels G, Van Cauwenberge J, Borremans K, Vandecaveye V, Weynand B, Vermeulen P, Leucci E, Baietti MF, Sflomos G, Battista L, Brisken C, Derksen PWB, Koorman T, Visser D, Scheele CLGJ, Thommen DS, Hatse S, Fendt SM, Vanderheyden E, Van Brussel T, Schepers R, Boeckx B, Lambrechts D, Marano G, Biganzoli E, Smeets A, Nevelsteen I, Punie K, Neven P, Wildiers H, Richard F, Floris G, Desmedt C. Rapid autopsies to enhance metastatic research: the UPTIDER post-mortem tissue donation program. NPJ Breast Cancer 2024; 10:31. [PMID: 38658604 PMCID: PMC11043338 DOI: 10.1038/s41523-024-00637-3] [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] [Received: 09/27/2023] [Accepted: 04/05/2024] [Indexed: 04/26/2024] Open
Abstract
Research on metastatic cancer has been hampered by limited sample availability. Here we present the breast cancer post-mortem tissue donation program UPTIDER and show how it enabled sampling of a median of 31 (range: 5-90) metastases and 5-8 liquids per patient from its first 20 patients. In a dedicated experiment, we show the mild impact of increasing time after death on RNA quality, transcriptional profiles and immunohistochemical staining in tumor tissue samples. We show that this impact can be counteracted by organ cooling. We successfully generated ex vivo models from tissue and liquid biopsies from distinct histological subtypes of breast cancer. We anticipate these and future findings of UPTIDER to elucidate mechanisms of disease progression and treatment resistance and to provide tools for the exploration of precision medicine strategies in the metastatic setting.
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Affiliation(s)
- Tatjana Geukens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Maxim De Schepper
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | | | - Karen Van Baelen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Marion Maetens
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Anirudh Pabba
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Amena Mahdami
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sophia Leduc
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Edoardo Isnaldi
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Ha-Linh Nguyen
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Imane Bachir
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Anesthesiology, Institut Jules Bordet, Brussels, Belgium
| | - Maysam Hajipirloo
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Gitte Zels
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Josephine Van Cauwenberge
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Kristien Borremans
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | | | - Birgit Weynand
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Peter Vermeulen
- Centre for Oncological Research (CORE), University of Antwerp, Antwerp, Belgium
| | - Eleonora Leucci
- TRACE and Laboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Maria Francesca Baietti
- TRACE and Laboratory for RNA Cancer Biology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - George Sflomos
- ISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Laura Battista
- ISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Cathrin Brisken
- ISREC - Swiss Institute for Experimental Cancer Research, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- The Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Patrick W B Derksen
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - Thijs Koorman
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - Daan Visser
- Department of Pathology, University Medical Center, Utrecht, The Netherlands
| | - Colinda L G J Scheele
- Laboratory of Intravital Microscopy and Dynamics of Tumor Progression, Department of Oncology, VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium
| | - Daniela S Thommen
- Division of Molecular Oncology and Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Sigrid Hatse
- Laboratory of Experimental Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Sarah-Maria Fendt
- Laboratory of Cellular Metabolism and Metabolic Regulation, VIB-KU Leuven Center for Cancer Biology, VIB, Leuven, Belgium
- Laboratory of Cellular Metabolism and Metabolic Regulation, Department of Oncology, KU Leuven and Leuven Cancer Institute (LKI), Leuven, Belgium
| | - Evy Vanderheyden
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Thomas Van Brussel
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Rogier Schepers
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Bram Boeckx
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium, and VIB Center for Cancer Biology, Leuven, Belgium
| | - Giuseppe Marano
- Unit of Medical Statistics, Biometry and Epidemiology, Department of Biomedical and Clinical Sciences (DIBIC) "L. Sacco" & DSRC, LITA Vialba campus, Università degli Studi di Milano, Milan, Italy
| | - Elia Biganzoli
- Unit of Medical Statistics, Biometry and Epidemiology, Department of Biomedical and Clinical Sciences (DIBIC) "L. Sacco" & DSRC, LITA Vialba campus, Università degli Studi di Milano, Milan, Italy
| | - Ann Smeets
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Ines Nevelsteen
- Department of Surgical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Kevin Punie
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Patrick Neven
- Department of Gynecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Hans Wildiers
- Department of General Medical Oncology, University Hospitals Leuven, Leuven, Belgium
| | - François Richard
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Giuseppe Floris
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.
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8
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Coimbra BC, Pereira MA, Cardili L, Alves VAF, de Mello ES, Ribeiro U, Ramos MFKP. Assessment of programmed death-ligand 1 expression in primary tumors and paired lymph node metastases of gastric adenocarcinoma. World J Gastrointest Oncol 2024; 16:883-893. [PMID: 38577458 PMCID: PMC10989385 DOI: 10.4251/wjgo.v16.i3.883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/27/2023] [Accepted: 01/31/2024] [Indexed: 03/12/2024] Open
Abstract
BACKGROUND Anti-programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) immunotherapy has demonstrated promising results on gastric cancer (GC). However, PD-L1 can express differently between metastatic sites and primary tumors (PT). AIM To compare PD-L1 status in PT and matched lymph node metastases (LNM) of GC patients and to determine the correlation between the PD-L1 status and clinicopathological characteristics. METHODS We retrospectively reviewed 284 GC patients who underwent D2-gastrectomy. PD-L1 was evaluated by immunohistochemistry (clone SP142) using the combined positive score. All PD-L1+ PT staged as pN+ were also tested for PD-L1 expression in their LNM. PD-L1(-) GC with pN+ served as the comparison group. RESULTS Among 284 GC patients included, 45 had PD-L1+ PT and 24 of them had pN+. For comparison, 44 PD-L1(-) cases with pN+ were included (sample loss of 4 cases). Of the PD-L1+ PT, 54.2% (13/24 cases) were also PD-L1+ in the LNM. Regarding PD-L1(-) PT, 9.1% (4/44) had PD-L1+ in the LNM. The agreement between PT and LNM had a kappa value of 0.483. Larger tumor size and moderate/severe peritumoral inflammatory response were associated with PD-L1 positivity in both sites. There was no statistical difference in overall survival for PT and LNM according to the PD-L1 status (P = 0.166 and P = 0.837, respectively). CONCLUSION Intra-patient heterogeneity in PD-L1 expression was observed between the PT and matched LNM. This disagreement in PD-L1 status may emphasize the importance of considering different tumor sites for analyses to select patients for immunotherapy.
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Affiliation(s)
- Brendha Cação Coimbra
- Department of Gastroenterology, Instituto do Cancer, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246000, Brazil
| | - Marina Alessandra Pereira
- Department of Gastroenterology, Instituto do Cancer, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246000, Brazil
| | - Leonardo Cardili
- Department of Pathology, Instituto do Cancer, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246000, Brazil
| | - Venancio Avancini Ferreira Alves
- Department of Pathology, Instituto do Cancer, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246000, Brazil
| | - Evandro Sobroza de Mello
- Department of Pathology, Instituto do Cancer, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo 01246000, Brazil
| | - Ulysses Ribeiro Jr
- Department of Gastroenterology, Instituto do Cancer, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246000, Brazil
| | - Marcus Fernando Kodama Pertille Ramos
- Department of Gastroenterology, Instituto do Cancer, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo 01246000, Brazil
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9
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Rodrigo JP, Sánchez-Canteli M, Otero-Rosales M, Martínez-Camblor P, Hermida-Prado F, García-Pedrero JM. Tumor mutational burden predictability in head and neck squamous cell carcinoma patients treated with immunotherapy: systematic review and meta-analysis. J Transl Med 2024; 22:135. [PMID: 38311741 PMCID: PMC10840180 DOI: 10.1186/s12967-024-04937-x] [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: 11/20/2023] [Accepted: 01/27/2024] [Indexed: 02/06/2024] Open
Abstract
BACKGROUND Tumor mutational burden (TMB) has been demonstrated to predict the response to immune checkpoint inhibitors (ICIs) in various cancers. However, the role of TMB in head and neck squamous cell carcinoma (HNSCC) has not yet been specifically addressed. Since HNSCC patients exhibit a rather limited response to ICIs, there is an unmet need to develop predictive biomarkers to improve patient selection criteria and the clinical benefit of ICI treatment. METHODS We conducted a systematic review and meta-analysis according to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. HNSCC cohort studies were selected when TMB prior to ICI treatment was evaluated, TMB cutoff value was available, and the prognostic value of TMB was evaluated by time-to-event survival analysis. A total of 11 out of 1960 articles were analyzed, including 1200 HNSCC patients. RESULTS The results showed that those patients harboring high TMB exhibited a significantly superior overall response rate (OR = 2.62; 95% CI 1.74-3.94; p < 0.0001) and a survival advantage (HR = 0.53; 95% CI 0.39-0.71; p < 0.0001) after ICI treatment. CONCLUSION This is the first meta-analysis to demonstrate a higher response and clinical benefit from ICI therapy in HNSCC patients with high TMB.
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Affiliation(s)
- Juan P Rodrigo
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
| | - Mario Sánchez-Canteli
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain.
- Department of Otolaryngology, Hospital Universitario de Cabueñes and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), 33011, Oviedo, Spain.
| | - María Otero-Rosales
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
| | - Pablo Martínez-Camblor
- Department of Anesthesiology, Dartmouth Hitchcock Medical Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Faculty of Health Sciences, Universidad Autonoma de Chile, 7500912, Providencia, Chile
| | - Francisco Hermida-Prado
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
| | - Juana M García-Pedrero
- Department of Otolaryngology, Hospital Universitario Central de Asturias and Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Instituto Universitario de Oncología del Principado de Asturias, University of Oviedo, 33011, Oviedo, Spain
- Ciber de Cáncer, CIBERONC, 28029, Madrid, Spain
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10
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Baretton G, Lordick F, Gaiser T, Hofheinz R, Horst D, Lorenzen S, Möhler M, Röcken C, Schirmacher P, Stahl M, Thuss-Patience P, Tiemann K. [Standardized and quality-assured predictive PD-L1 testing in the upper gastrointestinal tract. German version]. PATHOLOGIE (HEIDELBERG, GERMANY) 2024; 45:51-58. [PMID: 38170268 PMCID: PMC10827825 DOI: 10.1007/s00292-023-01215-3] [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] [Accepted: 11/09/2023] [Indexed: 01/05/2024]
Abstract
As a result of the high approval dynamics and the growing number of immuno-oncological therapy concepts, the complexity of therapy decisions and control in the area of carcinomas of the esophagus, gastroesophageal junction and stomach is constantly increasing. Since the treatment indication for PD‑1 inhibitors that are currently approved in the European Union is often linked to the expression of PD-L1 (programmed cell death-ligand 1), the evaluation of tissue-based predictive markers by the pathologist is of crucial importance for treatment stratification. Even though the immunohistochemical analysis of the PD-L1 expression status is one of the best studied, therapy-relevant biomarkers for an immuno-oncological treatment, due to the high heterogeneity of carcinomas of the upper gastrointestinal tract, there are challenges in daily clinical diagnostic work with regard to implementation, standardization and interpretation of testing. An interdisciplinary group of experts from Germany has taken a position on relevant questions from daily pathological and clinical practice, which concern the starting material, quality-assured testing and the interpretation of pathological findings, and has developed recommendations for structured reporting.
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Affiliation(s)
- G Baretton
- Institut für Pathologie, Universitätsklinikum Carl Gustav Carus, TU Dresden, Fetscherstr. 74, 01307, Dresden, Deutschland.
| | - F Lordick
- Medizinische Klinik II (Onkologie, Gastroenterologie, Hepatologie und Pneumologie) und Universitäres Krebszentrum Leipzig, Universitätsmedizin Leipzig, Leipzig, Deutschland.
| | - T Gaiser
- PATHOLOGIE SPEYER Gemeinschaftspraxis GbR, Speyer, Deutschland
| | - R Hofheinz
- Universitätsmedizin Mannheim, Mannheim, Deutschland
| | - D Horst
- Institut für Pathologie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - S Lorenzen
- III. Medizinische Klinik, Klinikum rechts der Isar, München, Deutschland
| | - M Möhler
- I. Medizinische Klinik und Poliklinik, Universitätsmedizin Mainz, Mainz, Deutschland
| | - C Röcken
- Institut für Pathologie, Christian-Albrechts-Universität, Kiel, Deutschland
| | - P Schirmacher
- Pathologisches Institut, Universitätsklinikum Heidelberg, Heidelberg, Deutschland
| | - M Stahl
- Klinik für Internistische Onkologie & Onkologische Palliativmedizin, KEM | Evang. Kliniken Essen-Mitte, Evang. Huyssens-Stiftung Essen-Huttrop, Essen, Deutschland
| | - P Thuss-Patience
- Charité Centrum Tumormedizin CC14, Campus Virchow-Klinikum, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - K Tiemann
- Institut für Hämatopathologie, Hamburg, Deutschland
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11
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Yu Y, Lou Y, Zhu J, Wang X. Comprehensive analysis of diverse programmed cell death patterns in the prognosis, tumor microenvironment and drug sensitivity in hepatocellular carcinoma. Medicine (Baltimore) 2023; 102:e36239. [PMID: 38050240 PMCID: PMC10695610 DOI: 10.1097/md.0000000000036239] [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: 09/26/2023] [Accepted: 10/31/2023] [Indexed: 12/06/2023] Open
Abstract
Treatment failure in patients with liver hepatocellular carcinoma (LIHC) is primarily caused by tumor progression and therapy resistance. Tumor immunity plays a crucial role in regulating the homeostasis of cells through the process of programmed cell death (PCD). However, the expression profile and clinical significance of PCD-related genes in LIHC require further investigation. In this study, we analyzed twelve commonly observed PCD patterns to construct a prognostic model. We collected RNA-seq data, genomics, and clinical information from TCGA-LIHC and GSE14520 cohorts to validate the prognostic gene signature. We discovered 75 PCD-related differentially expressed genes (DEGs) with prognostic significance in LIHC. Using these genes, we constructed a PCD-related score (PCDscore) with an 11-gene signature through LASSO COX regression analysis. Validation in the GSE14520 cohort demonstrated that LIHC patients with high PCDscore had poorer prognoses. Unsupervised clustering based on the 11 model genes revealed 3 molecular subtypes of LIHC with distinct prognoses. By incorporating PCDscore with clinical features, we constructed a highly predictive nomogram. Additionally, PCDscore was correlated with immune checkpoint genes and immune cell infiltration. LIHC patients with high PCDscore exhibited sensitivity to common chemotherapy drugs (such as cisplatin and docetaxel). To summarize, our study developed a novel PCDscore model that comprehensively analyzed different cell death modes, providing an accurate prediction of clinical prognosis and drug sensitivity for LIHC patients.
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Affiliation(s)
- Youlin Yu
- Department of Hepatobiliary Surgery, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China
| | - Yanglieguang Lou
- Department of Hepatobiliary Surgery, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China
| | - Jinlong Zhu
- Department of Hepatobiliary Surgery, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China
| | - Xiaobo Wang
- Department of Hepatobiliary Surgery, Affiliated Hospital of Shaoxing University, Shaoxing, Zhejiang, China
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12
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Hu X, Deng X, Xie J, Tang H, Zou Y. Heterogeneous PD-L1 expression in metastases impacts immunotherapy response. EBioMedicine 2023; 97:104816. [PMID: 37804568 PMCID: PMC10570695 DOI: 10.1016/j.ebiom.2023.104816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/04/2023] [Accepted: 09/15/2023] [Indexed: 10/09/2023] Open
Affiliation(s)
- Xiaoqian Hu
- Faculty of Medicine, School of Biomedical Sciences, The University of Hong Kong, 21 Sassoon Road, Hong Kong 999077, China
| | - Xinpei Deng
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 651 East Dongfeng Road, Guangzhou 510060, China
| | - Jindong Xie
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 651 East Dongfeng Road, Guangzhou 510060, China
| | - Hailin Tang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 651 East Dongfeng Road, Guangzhou 510060, China.
| | - Yutian Zou
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 651 East Dongfeng Road, Guangzhou 510060, China.
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13
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Baretton GB, Lordick F, Gaiser T, Hofheinz R, Horst D, Lorenzen S, Moehler M, Röcken C, Schirmacher P, Stahl M, Thuss-Patience P, Tiemann K. Standardized and quality-assured predictive PD-L1 testing in the upper gastrointestinal tract. J Cancer Res Clin Oncol 2023; 149:16231-16238. [PMID: 37874352 PMCID: PMC10620316 DOI: 10.1007/s00432-023-05180-5] [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: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 10/25/2023]
Abstract
As a result of the high approval dynamics and the growing number of immuno-oncological concepts, the complexity of treatment decisions and control in the area of cancers of the esophagus, gastroesophageal junction and stomach is constantly increasing. Since the treatment indication for PD-1 inhibitors that are currently approved in the European Union is often linked to the expression of PD-L1 (programmed cell death-ligand 1), the evaluation of tissue-based predictive markers by the pathologist is of crucial importance for treatment stratification. Even though the immunohistochemical analysis of the PD-L1 expression status is one of the best studied, therapy-relevant biomarkers for an immuno-oncological treatment, due to the high heterogeneity of carcinomas of the upper gastrointestinal tract, there are challenges in daily clinical diagnostic work with regard to implementation, standardization and interpretation of testing. An interdisciplinary group of experts from Germany has taken a position on relevant questions from daily pathological and clinical practice, which concern the starting material, quality-assured testing and the interpretation of pathological findings, and has developed recommendations for structured reporting.
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Affiliation(s)
- Gustavo B Baretton
- Institute for Pathology, University Hospital Carl Gustav Carus, TU Dresden, Fetscherstrasse 74, 01307, Dresden, Germany
| | - Florian Lordick
- Department of Medicine II (Oncology, Gastroenterology, Hepatology and Pulmonology) and University Cancer Center Leipzig, University of Leipzig Medical Center, Leipzig, Germany.
| | - T Gaiser
- Institute of Applied Pathology, 67346, Speyer, Germany
| | - R Hofheinz
- University Medicine Mannheim, Mannheim, Germany
| | - D Horst
- Institute of Pathology of the Charité-University Medicine Berlin, Berlin, Germany
| | - S Lorenzen
- Department of Medicine III, Klinikum Rechts der Isar, Munich, Germany
| | - M Moehler
- Department of Medicine I, University Medicine Mainz, Mainz, Germany
| | - C Röcken
- Institute of Pathology, Christian-Albrechts University, Kiel, Germany
| | - P Schirmacher
- Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany
| | - M Stahl
- Department of Oncology and Palliative Care, Kliniken Essen Mitte, Evangelische Huyssens-Stiftung, Essen-Huttrop, Essen, Germany
| | - P Thuss-Patience
- Charité Center of Tumor Medicine CC14, Charité Campus Virchow-University Medicine Berlin, Berlin, Germany
| | - K Tiemann
- Institute of Hematopathology, Hamburg, Germany
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14
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Yu X, Yang X, Nie H, Jiang W, He X, Ou C. Immunological role and prognostic value of somatostatin receptor family members in colon adenocarcinoma. Front Pharmacol 2023; 14:1255809. [PMID: 37900156 PMCID: PMC10603271 DOI: 10.3389/fphar.2023.1255809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 10/03/2023] [Indexed: 10/31/2023] Open
Abstract
Colon adenocarcinoma (COAD) is among the most prevalent cancers worldwide, ranking as the third most prevalent malignancy in incidence and mortality. The somatostatin receptor (SSTR) family comprises G-protein-coupled receptors (GPCRs), which couple to inhibitory G proteins (Gi and Go) upon binding to somatostatin (SST) analogs. GPCRs are involved in hormone release, neurotransmission, cell growth inhibition, and cancer suppression. However, their roles in COAD remain unclear. This study used bioinformatics to investigate the expression, prognosis, gene alterations, functional enrichment, and immunoregulatory effects of the SSTR family members in COAD. SSTR1-4 are differentially downregulated in COAD, and low SSTR2 expression indicates poor survival. Biological processes and gene expression enrichment of the SSTR family in COAD were further analyzed using the Kyoto Encyclopedia of Genes and Genomes and Gene Ontology. A strong correlation was observed between SSTR expression and immune cell infiltration. We also quantified SSTR2 expression in 25 COAD samples and adjacent normal tissues using quantitative real-time polymerase chain reaction. We analyzed its correlation with the dendritic cell-integrin subunit alpha X marker gene. The biomarker exploration of the solid tumors portal was used to confirm the correlation between SSTR2 with immunomodulators and immunotherapy responses. Our results identify SSTR2 as a promising target for COAD immunotherapy. Our findings provide new insights into the biological functions of the SSTR family and their implications for the prognosis of COAD.
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Affiliation(s)
- Xiaoqian Yu
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xuejie Yang
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hui Nie
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wenying Jiang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiaoyun He
- Departments of Ultrasound Imaging, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Chunlin Ou
- Department of Pathology, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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15
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Placke JM, Kimmig M, Griewank K, Herbst R, Terheyden P, Utikal J, Pföhler C, Ulrich J, Kreuter A, Mohr P, Gutzmer R, Meier F, Dippel E, Welzel J, Engel DR, Kreft S, Sucker A, Lodde G, Krefting F, Stoffels I, Klode J, Roesch A, Zimmer L, Livingstone E, Hadaschik E, Becker JC, Weichenthal M, Tasdogan A, Schadendorf D, Ugurel S. Correlation of tumor PD-L1 expression in different tissue types and outcome of PD-1-based immunotherapy in metastatic melanoma - analysis of the DeCOG prospective multicenter cohort study ADOREG/TRIM. EBioMedicine 2023; 96:104774. [PMID: 37660535 PMCID: PMC10483509 DOI: 10.1016/j.ebiom.2023.104774] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/10/2023] [Accepted: 08/10/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND PD-1-based immune checkpoint inhibition (ICI) is the major backbone of current melanoma therapy. Tumor PD-L1 expression represents one of few biomarkers predicting ICI therapy outcome. The objective of the present study was to systematically investigate whether the type of tumor tissue examined for PD-L1 expression has an impact on the correlation with ICI therapy outcome. METHODS Pre-treatment tumor tissue was collected within the prospective DeCOG cohort study ADOREG/TRIM (CA209-578; NCT05750511) between February 2014 and May 2020 from 448 consecutive patients who received PD-1-based ICI for non-resectable metastatic melanoma. The primary study endpoint was best overall response (BOR), secondary endpoints were progression-free (PFS) and overall survival (OS). All endpoints were correlated with tumor PD-L1 expression (quantified with clone 28-8; cutoff ≥5%) and stratified by tissue type. FINDINGS Tumor PD-L1 was determined in 95 primary tumors (PT; 36.8% positivity), 153 skin/subcutaneous (34.0% positivity), 115 lymph node (LN; 50.4% positivity), and 85 organ (40.8% positivity) metastases. Tumor PD-L1 correlated with BOR if determined in LN (OR = 0.319; 95% CI = 0.138-0.762; P = 0.010), but not in skin/subcutaneous metastases (OR = 0.656; 95% CI = 0.311-1.341; P = 0.26). PD-L1 positivity determined on LN metastases was associated with favorable survival (PFS, HR = 0.490; 95% CI = 0.310-0.775; P = 0.002; OS, HR = 0.519; 95% CI = 0.307-0.880; P = 0.014). PD-L1 positivity determined in PT (PFS, HR = 0.757; 95% CI = 0.467-1.226; P = 0.27; OS; HR = 0.528; 95% CI = 0.305-0.913; P = 0.032) was correlated with survival to a lesser extent. No relevant survival differences were detected by PD-L1 determined in skin/subcutaneous metastases (PFS, HR = 0.825; 95% CI = 0.555-1.226; P = 0.35; OS, HR = 1.083; 95% CI = 0.698-1.681; P = 0.72). INTERPRETATION For PD-1-based immunotherapy in melanoma, tumor PD-L1 determined in LN metastases was stronger correlated with therapy outcome than that assessed in PT or organ metastases. PD-L1 determined in skin/subcutaneous metastases showed no outcome correlation and therefore should be used with caution for clinical decision making. FUNDING Bristol-Myers Squibb (ADOREG/TRIM, NCT05750511); German Research Foundation (DFG; Clinician Scientist Program UMEA); Else Kröner-Fresenius-Stiftung (EKFS; Medical Scientist Academy UMESciA).
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Affiliation(s)
- Jan-Malte Placke
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Mona Kimmig
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Klaus Griewank
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | | | | | - Jochen Utikal
- Skin Cancer Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany; Department of Dermatology, Venereology and Allergology, University Medical Center Mannheim, Ruprecht-Karl University of Heidelberg, Mannheim, Germany; DKFZ Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany.
| | - Claudia Pföhler
- Department of Dermatology, Saarland University Medical School, Homburg/Saar, Germany.
| | - Jens Ulrich
- Skin Cancer Center, Department of Dermatology, Harz Clinics, Quedlinburg, Germany.
| | - Alexander Kreuter
- Department of Dermatology, Venereology and Allergology, Helios St. Elisabeth Klinik Oberhausen, University Witten-Herdecke, Oberhausen, Germany.
| | - Peter Mohr
- Department of Dermatology, Elbe Kliniken Buxtehude, Buxtehude, Germany.
| | - Ralf Gutzmer
- Department of Dermatology, Skin Cancer Center Minden, Minden, Germany.
| | - Friedegund Meier
- Department of Dermatology, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany.
| | - Edgar Dippel
- Department of Dermatology, Ludwigshafen Medical Center, Ludwigshafen, Germany.
| | - Julia Welzel
- Department of Dermatology, Augsburg Medical Center, Augsburg, Germany.
| | - Daniel Robert Engel
- Department of Immunodynamics, Institute for Experimental Immunology and Imaging, Medical Research Centre, University Hospital Essen, Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Sophia Kreft
- Department of Dermatology, Venereology and Allergology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany.
| | - Antje Sucker
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Georg Lodde
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Frederik Krefting
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Ingo Stoffels
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Joachim Klode
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Alexander Roesch
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Lisa Zimmer
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Elisabeth Livingstone
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Eva Hadaschik
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany.
| | - Jürgen C Becker
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; Translational Skin Cancer Research, West German Cancer Center, University Medicine Essen, Essen, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Michael Weichenthal
- Department of Dermatology, University Hospital of Schleswig-Holstein, Kiel, Germany.
| | - Alpaslan Tasdogan
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Dirk Schadendorf
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
| | - Selma Ugurel
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Germany; German Cancer Consortium (DKTK), Partner Site Essen/Düsseldorf, Germany.
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Zhang J, Liu Y, Xia L, Zhen J, Gao J, Atsushi T. Constructing heterogeneous single-cell landscape and identifying microenvironment molecular characteristics of primary and lymphatic metastatic head and neck squamous cell carcinoma. Comput Biol Med 2023; 165:107459. [PMID: 37713790 DOI: 10.1016/j.compbiomed.2023.107459] [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: 07/08/2023] [Revised: 08/05/2023] [Accepted: 09/04/2023] [Indexed: 09/17/2023]
Abstract
BACKGROUND Head and neck squamous cell carcinoma (HNSCC) accounts for more than half of head and neck tumors, roughly 90%. This study focused on constructing the heterogeneous landscape using single-cell and bulk transcriptomic data to identify molecular characteristics of the microenvironment in primary and lymphatic metastatic head and neck squamous carcinomas. METHOD The study enrolled 23 HNSCC samples with scRNA-seq data and 546 HNSCC samples from TCGA. We used Monocle to sort the cells and used CellPhoneDB to explore the cell-cell interactions. Infercnv, which was used to infer cells with apparent copy number variation based on single-cell sequencing transcriptome data. We re-evaluated HNSCC bulk RNA transcriptome data to characterize the functions of different cell types in shaping the immune microenvironment of HNSCC. RESULTS We combined genealogical reconstruction, CNV inference, and cellular interactions to uncover the characteristics of distinct cell populations in different disease states, differences in cancer and immune cell lineages of differentiation trajectories, and interactions between non-immune and immune cell. PD-1 and PD-L1/PD-L2 expressed extremely rare in T cells, the immune checkpoint molecule KLRB1-CLEC2D achieved a high-level expression. We identified three microenvironment-based HNSCC subtypes associated with the prognosis of HNSCC patients. CONCLUSIONS In summary, the present study dissected the intratumoral heterogeneity and immune microenvironment of primary and metastatic HNSCC, which is crucial to reveal the mechanisms of resistance to immunotherapy in HNSCC in different disease states and is expected to assist in the further investigation of the mechanism of HNSCC cell metastasis and guide the treatment of clinical patients.
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Affiliation(s)
- Jiayuan Zhang
- Department of Restorative Dentistry, Graduate School of Dental Medicine, Hokkaido University, Sapporo, 0608586, Japan
| | - Yunqing Liu
- Department of Restorative Dentistry, Faculty of Dental Medicine, Hokkaido University, Sapporo, 0608586, Japan
| | - Lianheng Xia
- Department of Peripheral Vascular Diseases, First Affiliated hospital, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150040, China
| | - Jia Zhen
- Department of Peripheral Vascular Diseases, First Affiliated hospital, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150040, China
| | - Jie Gao
- Department of Peripheral Vascular Diseases, First Affiliated hospital, Heilongjiang University of Traditional Chinese Medicine, Harbin, 150040, China.
| | - Tomokiyo Atsushi
- Department of Restorative Dentistry, Faculty of Dental Medicine, Hokkaido University, Sapporo, 0608586, Japan.
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ZHANG RUI, ZHOU PENG, OU XIA, ZHAO PEIZHU, GUO XIJING, XI MIAN, QING CHEN. The DMRTA1-SOX2 positive feedback loop promotes progression and chemotherapy resistance of esophageal squamous cell carcinoma. Oncol Res 2023; 31:887-897. [PMID: 37744275 PMCID: PMC10513955 DOI: 10.32604/or.2023.030184] [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: 03/25/2023] [Accepted: 06/14/2023] [Indexed: 09/26/2023] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is among the most prevalent causes of cancer-related death in patients worldwide. Resistance to immunotherapy and chemotherapy results in worse survival outcomes in ESCC. It is urgent to explore the underlying molecular mechanism of immune evasion and chemoresistance in ESCC. Here, we conducted RNA-sequencing analysis in ten ESCC tissues from cisplatin-based neoadjuvant chemotherapy patients. We found that DMRTA1 was extremely upregulated in the non-pathologic complete response (non-pCR) group. The proliferation rate of esophageal squamous carcinoma cells was markedly decreased after knockdown of DMRTA1 expression, which could increase cisplatin sensitivity in ESCC. Additionally, suppression of DMRTA1 could decrease the immune escape of esophageal squamous carcinoma cells. Further mechanistic studies suggest that DMRTA1 can promote its expression by binding to the promoter of SOX2, which plays important roles in the progression and chemoresistance of ESCC in the form of positive feedback. Therefore, DMRTA1 could be a potential target to suppress immune escape and overcome chemoresistance in ESCC.
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Affiliation(s)
- RUI ZHANG
- School of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, 650500, China
- Department of Radiotherapy, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - PENG ZHOU
- School of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, 650500, China
- Department of Pharmacy, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650101, China
| | - XIA OU
- Medical School, Kunming University of Science and Technology, Kunming, 650504, China
| | - PEIZHU ZHAO
- Department of Radiotherapy, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - XIJING GUO
- Department of Radiotherapy, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, China
| | - MIAN XI
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, China
| | - CHEN QING
- School of Pharmaceutical Sciences and Yunnan Key Laboratory of Pharmacology for Natural Products, Kunming Medical University, Kunming, 650500, China
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Zheng S, Cao Y, Randall J, Yu H, Thomas TO. Integrating POLE/POLD1 mutated for immunotherapy treatment planning of advanced stage non-small cell lung cancer. Thorac Cancer 2023; 14:2269-2274. [PMID: 37345618 PMCID: PMC10423654 DOI: 10.1111/1759-7714.15012] [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: 04/26/2023] [Revised: 06/08/2023] [Accepted: 06/11/2023] [Indexed: 06/23/2023] Open
Abstract
BACKGROUND In this study, we evaluated the potential of DNA polymerase epsilon (POLE) and DNA polymerase delta 1 (POLD1) as prognostic biomarkers for immune checkpoint inhibitor (ICI) treatment in patients with advanced stage non-small cell lung cancer (NSCLC). METHODS Disease stage, PD-L1 positivity, histological subtypes, POLE/POLD1 mutation status, tumor mutation burden (TMB), and response to ICIs in NSCLC cases were derived from AACR GENIE dataset (n = 24 120), TCGA-Pan Lung Cancer dataset (n = 1144), AACR GENIE BPC NSCLC v2.0-public (n = 2004), and Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets dataset (n = 350). The smoking history from TCGA and AACR GENIE datasets was grouped into current, former or never-smokers. RESULTS POLE and POLD1 genetic alterations were identified in 5% and 2.6% of NSCLC patients, respectively. Current smokers had 9% and 4% of POLE/POLD1 mutations, respectively, versus 1.7% for both POLE and POLD1 mutations prevalence in never-smokers. POLE/POLD1 mutations were associated with elevated mutation counts than those with wild-type (median mutation counts 16 vs. 7, p < 0.0001), more advanced disease stages (stage I disease 15.19% vs. 29.42%), more prevalent squamous histology subtype (21.69% vs. 9.05%, p = 0.0427), and a higher percentage of PD-L1 positivity (66.67% vs. 43.87%, p < 0.001). Treatment with ICIs improved survival in patients with both POLE/POLD1 mutated and those with TMB > 18 (p < 0.001). CONCLUSION Current smokers have a five-fold increased risk of having POLE mutations than never-smokers. POLE/POLD1 mutation status and TMB > 18 can be a composite biomarker for selecting NSCLC patients with survival benefits to ICI treatment.
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Affiliation(s)
- Shuhua Zheng
- Department of Radiation OncologyRobert H. Lurie Comprehensive Cancer Center of Northwestern UniversityChicagoIllinoisUSA
| | - Yenong Cao
- Division of Hematology/OncologyTufts Medical CenterBostonMassachusettsUSA
| | - James Randall
- Department of Radiation OncologyRobert H. Lurie Comprehensive Cancer Center of Northwestern UniversityChicagoIllinoisUSA
| | - Haomin Yu
- Department of MathematicsUniversity of CaliforniaSanta BarbaraCaliforniaUSA
| | - Tarita O. Thomas
- Department of Radiation OncologyRobert H. Lurie Comprehensive Cancer Center of Northwestern UniversityChicagoIllinoisUSA
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Tostes K, Siqueira AP, Reis RM, Leal LF, Arantes LMRB. Biomarkers for Immune Checkpoint Inhibitor Response in NSCLC: Current Developments and Applicability. Int J Mol Sci 2023; 24:11887. [PMID: 37569262 PMCID: PMC10418476 DOI: 10.3390/ijms241511887] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/13/2023] Open
Abstract
Lung cancer has the highest mortality rate among all cancer types, resulting in over 1.8 million deaths annually. Immunotherapy utilizing immune checkpoint inhibitors (ICIs) has revolutionized the treatment of non-small cell lung cancer (NSCLC). ICIs, predominantly monoclonal antibodies, modulate co-stimulatory and co-inhibitory signals crucial for maintaining immune tolerance. Despite significant therapeutic advancements in NSCLC, patients still face challenges such as disease progression, recurrence, and high mortality rates. Therefore, there is a need for predictive biomarkers that can guide lung cancer treatment strategies. Currently, programmed death-ligand 1 (PD-L1) expression is the only established biomarker for predicting ICI response. However, its accuracy and robustness are not consistently reliable. This review provides an overview of potential biomarkers currently under development or in the validation stage that hold promise in improving the classification of responders and non-responders to ICI therapy in the near future.
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Affiliation(s)
- Katiane Tostes
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
| | - Aléxia Polo Siqueira
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
| | - Rui Manuel Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
- Life and Health Sciences Research Institute (ICVS), Medical School, University of Minho, 4710-057 Braga, Portugal
- ICVS/3B’s-PT Government Associate Laboratory, 4806-909 Guimarães, Portugal
| | - Leticia Ferro Leal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, São Paulo, Brazil; (K.T.)
- Barretos School of Health Sciences, Dr. Paulo Prata-FACISB, Barretos 14785-002, São Paulo, Brazil
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Deng D, Li X, Qi T, Dai Y, Liu N, Li H. A novel platelet risk score for stratifing the tumor immunophenotypes, treatment responses and prognosis in bladder carcinoma: results from real-world cohorts. Front Pharmacol 2023; 14:1187700. [PMID: 37214475 PMCID: PMC10192868 DOI: 10.3389/fphar.2023.1187700] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 04/18/2023] [Indexed: 05/24/2023] Open
Abstract
Background: Although the durable efficacy of immune checkpoint inhibitors (ICIs) in BLCA has been confirmed in numerous studies, not all patients benefit from their application in the clinic. Platelets are increasingly being found to be closely associated with cancer progression and metastasis; however, their comprehensive role in BLCA remains unclear. Methods: We comprehensively explored platelet expression patterns in BLCA patients using an integrated set of 244 related genes. Correlations between these platelet patterns with tumor microenvironment (TME) subtypes, immune characteristics and immunotherapy efficacies were explored. In addition, a platelet risk score (PRS) was generated for individual prognosis and verified the ability to predict prognosis, precise TME phenotypes, and immunotherapy efficacies. Results: Genes were clustered into two patterns that represented different TME phenotypes and had the ability to predict immunotherapy efficacy. We constructed a PRS that could predict individual prognosis with satisfactory accuracy using TCGA-BLCA. The results remained consistent when PRS was validated in the GSE32894 and Xiangya cohort. Moreover, we found that our PRS was positively related to tumor-infiltrating lymphocytes (TILs) in the TCGA-BLCA and Xiangya cohort. As expected, patients with higher PRS exhibited more sensitive to immunotherapy than patients with lower PRS. Finally, we discovered that a high PRS indicated a basal subtype of BLCA, whereas a low PRS indicated a luminal subtype. Conclusion: Platelet-related genes could predict TME phenotypes in BLCA. We constructed a PRS that could predict the TME, prognosis, immunotherapy efficacy, and molecular subtypes in BLCA.
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Affiliation(s)
- Dingshan Deng
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xiaowen Li
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Tiezheng Qi
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yuanqing Dai
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Neng Liu
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Huihuang Li
- Department of Urology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
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Liang J, Sun G, Pan X, Zhang M, Shen P, Zhu S, Zhao J, Zheng L, Zhao J, Chen Y, Yin X, Chen J, Hu X, Zeng Y, Chen J, Wang Y, Liu Z, Yao J, Su M, Huang R, Liao B, Wei Q, Li X, Zhou Q, Liu J, Shen Y, Liu Z, Chen N, Zeng H, Zhang X. Genomic and transcriptomic features between primary and paired metastatic fumarate hydratase-deficient renal cell carcinoma. Genome Med 2023; 15:31. [PMID: 37131267 PMCID: PMC10152735 DOI: 10.1186/s13073-023-01182-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 04/19/2023] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND Fumarate hydratase-deficient renal cell carcinoma (FH-RCC) is a rare highly aggressive subtype of kidney cancer for which the distinct genomic, transcriptomic, and evolutionary relationships between metastatic and primary lesions are still unclear. METHODS In this study, whole-exome, RNA-seq, and DNA methylation sequencing were performed on primary-metastatic paired specimens from 19 FH-RCC cases, including 23 primary and 35 matched metastatic lesions. Phylogenetic and clonal evolutionary analyses were used to investigate the evolutionary characteristics of FH-RCC. Transcriptomic analyses, immunohistochemistry, and multiple immunofluorescence experiments were performed to identify the tumor microenvironmental features of metastatic lesions. RESULTS Paired primary and metastatic lesions generally showed similar characteristics of tumor mutation burden, tumor neoantigen burden, microsatellite instability score, CNV burden, and genome instability index. Notably, we identified an FH-mutated founding MRCA (the most recent common ancestor) clone that dominated the early evolutionary trajectories in FH-RCC. Although both primary and metastatic lesions manifested high immunogenicity, metastatic lesions exhibited higher enrichment of T effector cells and immune-related chemokines, together with upregulation of PD-L1, TIGIT, and BTLA. In addition, we found that concurrent NF2 mutation may be associated with bone metastasis and upregulation of cell cycle signature in metastatic lesions. Furthermore, although in FH-RCC metastatic lesions in general shared similar CpG island methylator phenotype with primary lesions, we found metastatic lesions displaying hypomethylated chemokine and immune checkpoints related genomic loci. CONCLUSIONS Overall, our study demonstrated the genomic, epigenomic, and transcriptomic features of metastatic lesions in FH-RCC and revealed their early evolutionary trajectory. These results provided multi-omics evidence portraying the progression of FH-RCC.
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Affiliation(s)
- Jiayu Liang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Guangxi Sun
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiuyi Pan
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Mengni Zhang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Pengfei Shen
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Sha Zhu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jinge Zhao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Linmao Zheng
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Junjie Zhao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuntian Chen
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiaoxue Yin
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Junru Chen
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xu Hu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yuhao Zeng
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianhui Chen
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yongquan Wang
- Department of Urology, Southwest Hospital, Army Medical University, Chongqing, China
| | - Zhihong Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jin Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Minggang Su
- Department of Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Rui Huang
- Department of Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Banghua Liao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiang Wei
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiang Li
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Qiao Zhou
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jiyan Liu
- Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Yali Shen
- Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhenhua Liu
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Ni Chen
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Hao Zeng
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Xingming Zhang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Zou Y, Ye F, Kong Y, Hu X, Deng X, Xie J, Song C, Ou X, Wu S, Wu L, Xie Y, Tian W, Tang Y, Wong C, Chen Z, Xie X, Tang H. The Single-Cell Landscape of Intratumoral Heterogeneity and The Immunosuppressive Microenvironment in Liver and Brain Metastases of Breast Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2203699. [PMID: 36529697 PMCID: PMC9929130 DOI: 10.1002/advs.202203699] [Citation(s) in RCA: 90] [Impact Index Per Article: 90.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 11/11/2022] [Indexed: 05/07/2023]
Abstract
Distant metastasis remains the major cause of morbidity for breast cancer. Individuals with liver or brain metastasis have an extremely poor prognosis and low response rates to anti-PD-1/L1 immune checkpoint therapy compared to those with metastasis at other sites. Therefore, it is urgent to investigate the underlying mechanism of anti-PD-1/L1 resistance and develop more effective immunotherapy strategies for these patients. Using single-cell RNA sequencing, a high-resolution map of the entire tumor ecosystem based on 44 473 cells from breast cancer liver and brain metastases is depicted. Identified by canonical markers and confirmed by multiplex immunofluorescent staining, the metastatic ecosystem features remarkable reprogramming of immunosuppressive cells such as FOXP3+ regulatory T cells, LAMP3+ tolerogenic dendritic cells, CCL18+ M2-like macrophages, RGS5+ cancer-associated fibroblasts, and LGALS1+ microglial cells. In addition, PD-1 and PD-L1/2 are barely expressed in CD8+ T cells and cancer/immune/stromal cells, respectively. Interactions of the immune checkpoint molecules LAG3-LGALS3 and TIGIT-NECTIN2 between CD8+ T cells and cancer/immune/stromal cells are found to play dominant roles in the immune escape. In summary, this study dissects the intratumoral heterogeneity and immunosuppressive microenvironment in liver and brain metastases of breast cancer for the first time, providing insights into the most appropriate immunotherapy strategies for these patients.
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Affiliation(s)
- Yutian Zou
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Feng Ye
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Yanan Kong
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Xiaoqian Hu
- School of Biomedical SciencesFaculty of MedicineThe University of Hong Kong21 Sassoon RoadHong Kong999077China
| | - Xinpei Deng
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Jindong Xie
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Cailu Song
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Xueqi Ou
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Song Wu
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Linyu Wu
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Yi Xie
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Wenwen Tian
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Yuhui Tang
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Chau‐Wei Wong
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Zhe‐Sheng Chen
- College of Pharmacy and Health SciencesSt. John's UniversityQueensNYUSA
| | - Xinhua Xie
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
| | - Hailin Tang
- Sun Yat‐sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine651 East Dongfeng RoadGuangzhou510060China
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Liu M, Li W, Ma X, Che Y, Wei B, Chen M, Zhong L, Zhao S, Chen A, Pang Y, Zeng J, Guo J. Gradient differences of immunotherapy efficacy in metastatic melanoma related to sunlight exposure pattern: A population-based study. Front Oncol 2023; 12:1086664. [PMID: 36686834 PMCID: PMC9850161 DOI: 10.3389/fonc.2022.1086664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/12/2022] [Indexed: 01/07/2023] Open
Abstract
Background Immune checkpoint inhibitors (ICIs) have revolutionized metastatic melanoma (MM) treatment in just a few years. Ultraviolet (UV) in sunlight is the most significant environmental cause of melanoma, which is considered to be the main reason for tumor mutation burden (TMB) increase in melanoma. High TMB usually predicts that PD-1 inhibitors are effective. The sunlight exposure pattern of MM might be a clinical feature that matches TMB. The relationship between sunlight exposure patterns and immunotherapy response in MM is unclear. This study aims to investigate the correlation between sunlight exposure patterns and immunotherapy response in MM and establish nomograms that predict 3- and 5-year overall survival (OS) rate. Methods We searched the Surveillance, Epidemiology, and End Results (SEER) database and enrolled MM cases from 2005-2016. According to the advent of ICIs in 2011, the era was divided into the non-ICIs era (2005-2010) and the ICIs era (2011-2016). Patients were divided into three cohorts according to the primary site sunlight exposure patterns: head and neck in the first cohort, trunk arms and legs in the second cohort, and acral sites in the third cohort. We compared survival differences for each cohort between the two eras, performed stratified analysis, established nomograms for predicting 3- and 5-year OS rate, and performed internal validation. Results Comparing the survival difference between the ICIs and non-ICIs era, head and neck melanoma showed the greatest improvement in survival, with 3- and 5-year OS rate increasing by 10.2% and 9.1%, respectively (P=0.00011). In trunk arms and legs melanoma, the 3- and 5-year OS rate increased by 4.6% and 3.9%, respectively (P<0.0001). There is no improvement in survival in acral melanoma (AM) between the two eras (P=0.78). The receiver operating characteristic (ROC) curve, area under the ROC curve (AUC) and calibration graphs show good discrimination and accuracy of nomograms. Decision curve analysis (DCA) suggests good clinical utility of nomograms. Conclusions Based on the classification of sunlight exposure patterns, there is a gradient difference in immunotherapy efficacy for MM. The degree of sunlight exposure is positively correlated with immunotherapy response. The nomograms are sufficiently accurate to predict 3- and 5-year OS rate for MM, allowing for individualized clinical decisions for future clinical work.
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Affiliation(s)
- Mengsong Liu
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Wenyuan Li
- Sichuan Evidence-Based Medicine Center of Traditional Chinese Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xiao Ma
- State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuhui Che
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Bo Wei
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Mulan Chen
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Lin Zhong
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Siqi Zhao
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Anjing Chen
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yaobin Pang
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jinhao Zeng
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,Department of Geriatrics, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,*Correspondence: Jinhao Zeng, ; Jing Guo,
| | - Jing Guo
- Dermatological Department, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China,School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China,*Correspondence: Jinhao Zeng, ; Jing Guo,
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Sun Q, Li J, Fang X, Jin J, Cui L. Current status and influencing factors of care burden of pancreatic cancer caregivers under COVID-19. Front Psychol 2023; 13:1066278. [PMID: 36687824 PMCID: PMC9846207 DOI: 10.3389/fpsyg.2022.1066278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 12/12/2022] [Indexed: 01/05/2023] Open
Abstract
Objective To explore the level of care burden and its influencing factors of caregivers of pancreatic cancer patients during hospitalization under the background of COVID-19. Methods From September 2021 to December 2021, in Jiangsu Province Hospital, the convenience sampling method was used to investigate the care burden level of family caregivers of pancreatic cancer patients, and univariate and multivariate analysis methods were used to analyze the influencing factors. The survey tools included the General Information Questionnaire, the Family Caregiver Care Burden Scale, the Hospital Anxiety and Depression Scale, the Benefit Discovery Rating Scale, and the General Self-Efficacy Scale. Results A total of 100 subjects were included in this study, of which 45% were male and 55% were older than 50 years. In the Context of COVID-19, the care burden of caregivers of pancreatic cancer patients was at a mild level, and the main influencing factors were family economic status (p < 0.001), anxiety and depression level (p < 0.001) and self-efficacy (p < 0.001). Conclusion Medical staff should pay attention to the caregivers of pancreatic cancer with a heavy family burden, and pay attention to their anxiety and depression, and take corresponding measures to improve the self-efficacy of the caregivers, so as to reduce the care burden.
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Xie J, Luo X, Deng X, Tang Y, Tian W, Cheng H, Zhang J, Zou Y, Guo Z, Xie X. Advances in artificial intelligence to predict cancer immunotherapy efficacy. Front Immunol 2023; 13:1076883. [PMID: 36685496 PMCID: PMC9845588 DOI: 10.3389/fimmu.2022.1076883] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 12/09/2022] [Indexed: 01/05/2023] Open
Abstract
Tumor immunotherapy, particularly the use of immune checkpoint inhibitors, has yielded impressive clinical benefits. Therefore, it is critical to accurately screen individuals for immunotherapy sensitivity and forecast its efficacy. With the application of artificial intelligence (AI) in the medical field in recent years, an increasing number of studies have indicated that the efficacy of immunotherapy can be better anticipated with the help of AI technology to reach precision medicine. This article focuses on the current prediction models based on information from histopathological slides, imaging-omics, genomics, and proteomics, and reviews their research progress and applications. Furthermore, we also discuss the existing challenges encountered by AI in the field of immunotherapy, as well as the future directions that need to be improved, to provide a point of reference for the early implementation of AI-assisted diagnosis and treatment systems in the future.
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Affiliation(s)
- Jindong Xie
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiyuan Luo
- School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xinpei Deng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yuhui Tang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wenwen Tian
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hui Cheng
- School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Junsheng Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yutian Zou
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China,*Correspondence: Xiaoming Xie, ; Zhixing Guo, ; Yutian Zou,
| | - Zhixing Guo
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China,*Correspondence: Xiaoming Xie, ; Zhixing Guo, ; Yutian Zou,
| | - Xiaoming Xie
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China,*Correspondence: Xiaoming Xie, ; Zhixing Guo, ; Yutian Zou,
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26
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Sinoquet L, Jacot W, Quantin X, Alix-Panabières C. Liquid Biopsy and Immuno-Oncology for Advanced Nonsmall Cell Lung Cancer. Clin Chem 2023; 69:23-40. [PMID: 36322450 DOI: 10.1093/clinchem/hvac166] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/23/2022] [Indexed: 11/05/2022]
Abstract
BACKGROUND In the last decade, immune checkpoint inhibitors have revolutionized the treatment of metastatic nonsmall cell lung cancer without oncogenic addiction. Currently, programmed death ligand 1 (PD-L1) status, assessed in tissue biopsy samples, is the only test for guiding the prescription of these therapies in clinical practice. However, obtaining tumor tissue from patients with lung cancer is not always feasible and PD-L1 positivity is not a guarantee of immunotherapy efficacy. In this context, liquid biopsy, represented by several circulating biomarkers that reflect the tumor characteristics, is emerging as an interesting alternative approach. CONTENT We describe the main blood biomarkers evaluated in patients with metastatic nonsmall cell lung cancer before/during immune checkpoint inhibitor treatment, with a focus on circulating cell-free DNA, circulating tumor DNA (ctDNA), blood tumor mutational burden, and circulating tumor cells (CTCs). SUMMARY Monitoring of ctDNA and CTCs during immunotherapy may be a promising tool to help clinicians in therapeutic decision-making.
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Affiliation(s)
- Léa Sinoquet
- Department of Medical Oncology, Institut Régional Du Cancer de Montpellier (ICM), Montpellier, France
| | - William Jacot
- Department of Medical Oncology, Institut Régional Du Cancer de Montpellier (ICM), Montpellier, France.,Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, Montpellier University, Montpellier, France
| | - Xavier Quantin
- Department of Medical Oncology, Institut Régional Du Cancer de Montpellier (ICM), Montpellier, France.,Institut de Recherche en Cancérologie de Montpellier, INSERM U1194, Montpellier University, Montpellier, France
| | - Catherine Alix-Panabières
- Laboratory of Rare Human Circulating Cells (LCCRH), University Medical Centre of Montpellier, Montpellier, France.,CREEC/CANECEV, MIVEGEC (CREES), University of Montpellier, CNRS, IRD, Montpellier, France
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27
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van der Meer R, Jeuken JWM, Bosch SL, van Erning FN, Simkens LHJ, de Hingh IHJT, Roumen RMH. Biomarker concordance between primary colorectal cancer and ovarian metastases: a Dutch cohort study. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04502-3. [PMID: 36539535 DOI: 10.1007/s00432-022-04502-3] [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: 10/29/2022] [Accepted: 11/28/2022] [Indexed: 06/17/2023]
Abstract
PURPOSE The genetic characteristics and mismatch repair (MMR) status of the primary tumor and corresponding metastases in colorectal cancer (CRC) are generally considered to be highly concordant. This implies that either the primary or metastatic tumor can be used for testing gene mutation and MMR status. However, whether this is also true for CRC and their ovarian metastases is currently unknown. Ovarian metastases generally show a poorer response to systemic therapy compared to other metastatic sites. Differences in biomarker status between primary CRC and ovarian metastases could possibly explain this difference in therapy response. METHODS The study cohort was selected from CRC patients treated in two Dutch hospitals. Eligible patients with CRC and ovarian metastasis who were surgically treated between 2011 and 2018 were included. CRC and corresponding ovarian metastatic tissues were paired. Gene mutation status was established using next-generation sequencing, while the MMR status was established using either immunohistochemistry or microsatellite instability analysis. RESULTS Matched samples of CRC and ovarian metastasis from 26 patients were available for analysis. A biomarker concordance of 100% was detected. CONCLUSION Complete biomarker concordance was found between MMR proficient CRC and their matching ovarian metastasis. Biomarker testing of MMR proficient CRC tissue appears to be sufficient, and additional testing of metastatic ovarian tissue is not necessary. Differences in therapy response between ovarian metastases and other metastases from CRC are thus unlikely to be caused by differences in the genetic status.
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Affiliation(s)
- Richard van der Meer
- Department of Surgery, Máxima Medical Center, P.O. Box 7777, 5500 MB, Veldhoven, The Netherlands
| | | | - Steven L Bosch
- Department of Pathology, Eurofins-PAMM, Eindhoven, The Netherlands
| | - Felice N van Erning
- Department of Research and Development, Netherlands Comprehensive Cancer Organization, Utrecht, The Netherlands
- Department of Surgery, Catharina Cancer Institute, Eindhoven, The Netherlands
| | - Lieke H J Simkens
- Department of Medical Oncology, Máxima Medical Center, Veldhoven, The Netherlands
| | - Ignace H J T de Hingh
- Department of Surgery, Catharina Cancer Institute, Eindhoven, The Netherlands
- GROW - School for Oncology and Development Biology, Maastricht University, Maastricht, The Netherlands
| | - Rudi M H Roumen
- Department of Surgery, Máxima Medical Center, P.O. Box 7777, 5500 MB, Veldhoven, The Netherlands.
- GROW - School for Oncology and Development Biology, Maastricht University, Maastricht, The Netherlands.
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Voronova V, Vislobokova A, Mutig K, Samsonov M, Peskov K, Sekacheva M, Materenchuk M, Bunyatyan N, Lebedeva S. Combination of immune checkpoint inhibitors with radiation therapy in cancer: A hammer breaking the wall of resistance. Front Oncol 2022; 12:1035884. [PMID: 36544712 PMCID: PMC9760959 DOI: 10.3389/fonc.2022.1035884] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 11/07/2022] [Indexed: 12/12/2022] Open
Abstract
Immuno-oncology is an emerging field in the treatment of oncological diseases, that is based on recruitment of the host immune system to attack the tumor. Radiation exposure may help to unlock the potential of the immune activating agents by enhancing the antigen release and presentation, attraction of immunocompetent cells to the inflammation site, and eliminating the tumor cells by phagocytosis, thereby leading to an overall enhancement of the immune response. Numerous preclinical studies in mouse models of glioma, murine melanoma, extracranial cancer, or colorectal cancer have contributed to determination of the optimal radiotherapy fractionation, as well as the radio- and immunotherapy sequencing strategies for maximizing the antitumor activity of the treatment regimen. At the same time, efficacy of combined radio- and immunotherapy has been actively investigated in clinical trials of metastatic melanoma, non-small-cell lung cancer and renal cell carcinoma. The present review summarizes the current advancements and challenges related to the aforementioned treatment approach.
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Affiliation(s)
- Veronika Voronova
- Department of Pharmacological Modeling, M&S Decisions LLC, Moscow, Russia
| | - Anastasia Vislobokova
- Department of Pharmacology, Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Kerim Mutig
- Department of Pharmacology, Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Mikhail Samsonov
- Department of Pharmacology, Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Kirill Peskov
- Department of Pharmacological Modeling, M&S Decisions LLC, Moscow, Russia,MID3 Research Center, I.M. Sechenov First Moscow State Medical University, Moscow, Russia,Artificial Intelligence Research Center, STU Sirius, Sochi, Russia
| | - Marina Sekacheva
- World-Class Research Center “Digital biodesign and personalized healthcare”, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Maria Materenchuk
- Department of Pharmacology, Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Natalya Bunyatyan
- Institute of Professional Education, I.M. Sechenov First Moscow State Medical University, Moscow, Russia,Federal State Budgetary Institution “Scientific Centre for Expert Evaluation of Medicinal Products” of the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Svetlana Lebedeva
- Department of Pharmacology, Institute of Pharmacy, I.M. Sechenov First Moscow State Medical University, Moscow, Russia,Institute of Professional Education, I.M. Sechenov First Moscow State Medical University, Moscow, Russia,*Correspondence: Svetlana Lebedeva,
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Leveraging diverse cell-death patterns to predict the prognosis and drug sensitivity of triple-negative breast cancer patients after surgery. Int J Surg 2022; 107:106936. [PMID: 36341760 DOI: 10.1016/j.ijsu.2022.106936] [Citation(s) in RCA: 138] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/08/2022] [Accepted: 09/09/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Postoperative progression and chemotherapy resistance is the major cause of treatment failure in patients with triple-negative breast cancer (TNBC). Currently, there is a lack of an ideal predictive model for the progression and drug sensitivity of postoperative TNBC patients. Diverse programmed cell death (PCD) patterns play an important role in tumor progression, which has the potential to be a prognostic and drug sensitivity indicator for TNBC after surgery. MATERIALS AND METHODS Twelve PCD patterns (apoptosis, necroptosis, pyroptosis, ferroptosis, cuproptosis, entotic cell death, netotic cell death, parthanatos, lysosome-dependent cell death, autophagy-dependent cell death, alkaliptosis, and oxeiptosis) were analyzed for model construction. Bulk transcriptome, single-cell transcriptome, genomics, and clinical information were collected from TCGA-BRCA, METABRIC, GSE58812, GSE21653, GSE176078, GSE75688, and KM-plotter cohorts to validate the model. RESULTS The machine learning algorithm established a cell death index (CDI) with a 12-gene signature. Validated in five independent datasets, TNBC patients with high CDI had a worse prognosis after surgery. Two molecular subtypes of TNBC with distinct vital biological processes were identified by an unsupervised clustering model. A nomogram with high predictive performance was constructed by incorporating CDI with clinical features. Furthermore, CDI was associated with immune checkpoint genes and key tumor microenvironment components by integrated analysis of bulk and single-cell transcriptome. TNBC patients with high CDI are resistant to standard adjuvant chemotherapy regimens (docetaxel, oxaliplatin, etc.); however, they might be sensitive to palbociclib (an FDA-approved drug for luminal breast cancer). CONCLUSION Generally, we established a novel CDI model by comprehensively analyzing diverse cell death patterns, which can accurately predict clinical prognosis and drug sensitivity of TNBC after surgery. A user-friendly website was created to facilitate the application of this prediction model (https://tnbc.shinyapps.io/CDI_Model/).
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Xie J, Zheng S, Zou Y, Tang Y, Tian W, Wong CW, Wu S, Ou X, Zhao W, Cai M, Xie X. Turning up a new pattern: Identification of cancer-associated fibroblast-related clusters in TNBC. Front Immunol 2022; 13:1022147. [PMID: 36275659 PMCID: PMC9583405 DOI: 10.3389/fimmu.2022.1022147] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Growing evidence indicates a connection between cancer-associated fibroblasts (CAFs) and tumor microenvironment (TME) remodeling and tumor progression. Nevertheless, how patterns of CAFs impact TME and immunotherapy responsiveness in triple-negative breast cancer (TNBC) remains unclear. Here, we systematically investigate the relationship between TNBC progression and patterns of CAFs. By using unsupervised clustering methods in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset, we identified two distinct CAF-associated clusters that were related to clinical features, characteristics of TME, and prognosis of patients. Then, we established a CAF-related prognosis index (CPI) by the least absolute shrinkage and selection operator (LASSO)-Cox regression method. CPI showed prognostic accuracy in both training and validation cohorts (METABRIC, GSE96058, and GSE21653). Consequently, we constructed a nomogram with great predictive performance. Moreover, the CPI was verified to be correlated with the responsiveness of immunotherapy in three independent cohorts (GSE91061, GSE165252, and GSE173839). Taken together, the CPI might help us improve our recognition of the TME of TNBC, predict the prognosis of TNBC patients, and offer more immunotherapy strategies in the future.
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Affiliation(s)
- Jindong Xie
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Shaoquan Zheng
- Breast Disease Center, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yutian Zou
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yuhui Tang
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wenwen Tian
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Chau-Wei Wong
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Song Wu
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xueqi Ou
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wanzhen Zhao
- Department of Radiotherapy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Manbo Cai
- Department of Radiotherapy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- *Correspondence: Xiaoming Xie, ; Manbo Cai,
| | - Xiaoming Xie
- Department of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- *Correspondence: Xiaoming Xie, ; Manbo Cai,
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Abstract
PURPOSE OF REVIEW Here, we reviewed the recent breakthroughs in the understanding of predictive biomarkers for immune checkpoint inhibitors (ICI) treatment. RECENT FINDINGS ICI have revolutionized cancer therapy enabling novel therapeutic indications in multiple tumor types and increasing the probability of survival in patients with metastatic disease. However, in every considered tumor types only a minority of patients exhibits clear and lasting benefice from ICI treatment, and due to their unique mechanism of action treatment with ICI is also associated with acute clinical toxicities called immune related adverse events (irAEs) that can be life threatening. The approval of the first ICI drug has prompted many exploratory strategies for a variety of biomarkers and have shown that several factors might affect the response to ICI treatment, including tumors intrinsic factors, tumor microenvironment and tumor extrinsic or systemic factor. Currently, only three biomarkers programmed death-ligand 1 (PD-L1), tumor microenvironment and microsatellite instability had the US Food and Drug Administration-approbation with some limitations. SUMMARY The establishment of valid predictive biomarkers of ICI sensitivity has become a priority to guide patient treatment to maximize the chance of benefit and prevent unnecessary toxicity.
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Concordance, Correlation, and Clinical Impact of Standardized PD-L1 and TIL Scoring in SCCHN. Cancers (Basel) 2022; 14:cancers14102431. [PMID: 35626035 PMCID: PMC9139955 DOI: 10.3390/cancers14102431] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/02/2022] [Accepted: 05/11/2022] [Indexed: 01/27/2023] Open
Abstract
Simple Summary In patients with relapsed or metastasized squamous cell cancer of the head and neck (R/M SCCHN), the PD-L1 Combined Positive Score (CPS) is currently the only predictive biomarker for treatment with anti-PD-1 agents. However, ambiguous results have been determined regarding the overall response rates of immunotherapeutic agents based on PD-L1 status, which may be partially attributed to spatiotemporal heterogeneity. Furthermore, tumor-infiltrating lymphocytes (TILs) have proven to be of significant prognostic value, yet lack of a standardized method for quantification impedes their integration into the current armamentarium of biomarkers in SCCHN. In this paper, concordance of PD-L1 CPS and stromal TILs was investigated in different paired samples of SCCHN subtypes. The results were then linked to well-known clinicopathological variables and prognosis. Abstract Background: The clinical significance of tumor-infiltrating lymphocytes (TILs) and programmed cell death-ligand 1 (PD-L1) expression has been thoroughly researched in squamous cell carcinoma of the head and neck (SCCHN). To address the impact of intra- and intertumoral heterogeneity in these biomarkers, we explored the concordance of PD-L1 combined positive score (CPS) and stromal TILs in different paired tissue sample types, while evaluating their internal relationship and prognostic impact. Methods: A total of 165 tissue blocks from 80 SCCHN patients were reviewed for TILs and PD-L1 CPS. Concordance between paired tissue samples was evaluated, and their association with several clinicopathological variables, overall survival (OS), and disease-free survival (DFS) was determined. Results: Biopsies and paired resection material were severely discordant in 39% and 34% of samples for CPS and TIL count, respectively, of which CPS was underscored in 27% of biopsies. In paired primary tumor–metastatic lesions, the disagreement was lower for CPS (19%) but not for TIL count (44%). PD-L1 CPS was correlated with prolonged OS when calculated from tissue acquirement, while extended OS and DFS were observed for high TIL density. Conclusion: Intertumoral and, especially, intratumoral heterogeneity were confounding factors when determining PD-L1 CPS and TIL count on paired tissue samples, indicating the increasing necessity of assessing both biomarkers on representative tissue material. Although TILs hold valuable prognostic information in SCCHN, the robustness of PD-L1 as a biomarker in SCCHN remains ambiguous.
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Gorris MAJ, van der Woude LL, Kroeze LI, Bol K, Verrijp K, Amir AL, Meek J, Textor J, Figdor CG, de Vries IJM. Paired primary and metastatic lesions of patients with ipilimumab-treated melanoma: high variation in lymphocyte infiltration and HLA-ABC expression whereas tumor mutational load is similar and correlates with clinical outcome. J Immunother Cancer 2022; 10:e004329. [PMID: 35550553 PMCID: PMC9109111 DOI: 10.1136/jitc-2021-004329] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/14/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICI) can lead to long-term responses in patients with metastatic melanoma. Still many patients with melanoma are intrinsically resistant or acquire secondary resistance. Previous studies have used primary or metastatic tumor tissue for biomarker assessment. Especially in melanoma, metastatic lesions are often present at different anatomical sites such as skin, lymph nodes, and visceral organs. The anatomical site may directly affect the tumor microenvironment (TME). To evaluate the impact of tumor evolution on the TME and on ICI treatment outcome, we directly compared paired primary and metastatic melanoma lesions for tumor mutational burden (TMB), HLA-ABC status, and tumor infiltrating lymphocytes (TILs) of patients that received ipilimumab. METHODS TMB was analyzed by sequencing primary and metastatic melanoma lesions using the TruSight Oncology 500 assay. Tumor tissues were subjected to multiplex immunohistochemistry to assess HLA-ABC status and for the detection of TIL subsets (B cells, cytotoxic T cells, helper T cells, and regulatory T cells), by using a machine-learning algorithm. RESULTS While we observed a very good agreement between TMB of matched primary and metastatic melanoma lesions (intraclass coefficient=0.921), such association was absent for HLA-ABC status, TIL density, and subsets thereof. Interestingly, analyses of different metastatic melanoma lesions within a single patient revealed that TIL density and composition agreed remarkably well, rejecting the hypothesis that the TME of different anatomical sites affects TIL infiltration. Similarly, the HLA-ABC status between different metastatic lesions within patients was also comparable. Furthermore, high TMB, of either primary or metastatic melanoma tissue, directly correlated with response to ipilimumab, whereas lymphocyte density or composition did not. Loss of HLA-ABC in the metastatic lesion correlated to a shorter progression-free survival on ipilimumab. CONCLUSIONS We confirm the link between TMB and HLA-ABC status and the response to ipilimumab-based immunotherapy in melanoma, but no correlation was found for TIL density, neither in primary nor metastatic lesions. Our finding that TMB between paired primary and metastatic melanoma lesions is highly stable, demonstrates its independency of the time point and location of acquisition. TIL and HLA-ABC status in metastatic lesions of different anatomical sites are highly similar within an individual patient.
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Affiliation(s)
- Mark A J Gorris
- Tumor Immunology, Radboudumc, Nijmegen, The Netherlands
- Oncode Institute, Nijmegen, The Netherlands
| | - Lieke L van der Woude
- Tumor Immunology, Radboudumc, Nijmegen, The Netherlands
- Oncode Institute, Nijmegen, The Netherlands
- Pathology, Radboudumc, Nijmegen, The Netherlands
| | | | - Kalijn Bol
- Medical Oncology, Radboudumc, Nijmegen, The Netherlands
| | - Kiek Verrijp
- Oncode Institute, Nijmegen, The Netherlands
- Pathology, Radboudumc, Nijmegen, The Netherlands
| | | | - Jelena Meek
- Tumor Immunology, Radboudumc, Nijmegen, The Netherlands
| | - Johannes Textor
- Department of Tumor Immunology, Radboudumc, Nijmegen, The Netherlands
- Data Science Group, Institute for Computing and Information Sciences, Radboud Universiteit, Nijmegen, The Netherlands
| | - Carl G Figdor
- Tumor Immunology, Radboudumc, Nijmegen, The Netherlands
- Oncode Institute, Nijmegen, The Netherlands
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Xie J, Zou Y, Ye F, Zhao W, Xie X, Ou X, Xie X, Wei W. A Novel Platelet-Related Gene Signature for Predicting the Prognosis of Triple-Negative Breast Cancer. Front Cell Dev Biol 2022; 9:795600. [PMID: 35096824 PMCID: PMC8790231 DOI: 10.3389/fcell.2021.795600] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/13/2021] [Indexed: 01/19/2023] Open
Abstract
Regarded as the most invasive subtype, triple-negative breast cancer (TNBC) lacks the expression of estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2) proteins. Platelets have recently been shown to be associated with metastasis of malignant tumors. Nevertheless, the status of platelet-related genes in TNBC and their correlation with patient prognosis remain unknown. In this study, the expression and variation levels of platelet-related genes were identified and patients with TNBC were divided into three subtypes. We collected cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. By applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, we constructed a seven-gene signature which classified the two cohorts of patients with TNBC into low- or high-risk groups. Patients in the high-risk group were more likely to have lower survival rates than those in the low-risk group. The risk score, incorporated with the clinical features, was confirmed as an independent factor for predicting the overall survival (OS) time. Functional enrichment analyses revealed the involvement of a variety of vital biological processes and classical cancer-related pathways that could be important to the ultimate prognosis of TNBC. We then built a nomogram that performed well. Moreover, we tested the model in other cohorts and obtained positive outcomes. In conclusion, platelet-related genes were closely related to TNBC, and this novel signature could serve as a tool for the assessment of clinical prognosis.
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Affiliation(s)
- Jindong Xie
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Yutian Zou
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Feng Ye
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wanzhen Zhao
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Radiotherapy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China
| | - Xinhua Xie
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xueqi Ou
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Xiaoming Xie
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Weidong Wei
- Department of Breast Oncology, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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35
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Gosmann D, Russelli L, Weber WA, Schwaiger M, Krackhardt AM, D'Alessandria C. Promise and challenges of clinical non-invasive T-cell tracking in the era of cancer immunotherapy. EJNMMI Res 2022; 12:5. [PMID: 35099641 PMCID: PMC8804060 DOI: 10.1186/s13550-022-00877-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/05/2022] [Indexed: 12/12/2022] Open
Abstract
In the last decades, our understanding of the role of the immune system in cancer has significantly improved and led to the discovery of new immunotherapeutic targets and tools, which boosted the advances in cancer immunotherapy to fight a growing number of malignancies. Approved immunotherapeutic approaches are currently mainly based on immune checkpoint inhibitors, antibody-derived targeted therapies, or cell-based immunotherapies. In essence, these therapies induce or enhance the infiltration and function of tumor-reactive T cells within the tumors, ideally resulting in complete tumor eradication. While the clinical application of immunotherapies has shown great promise, these therapies are often accompanied either by a variety of side effects as well as partial or complete unresponsiveness of a number of patients. Since different stages of disease progression elicit different local and systemic immune responses, the ability to longitudinally interrogate the migration and expansion of immune cells, especially T cells, throughout the whole body might greatly facilitate disease characterization and understanding. Furthermore, it can serve as a tool to guide development as well as selection of appropriate treatment regiments. This review provides an overview about a variety of immune-imaging tools available to characterize and study T-cell responses induced by anti-cancer immunotherapy. Moreover, challenges are discussed that must be taken into account and overcome to use immune-imaging tools as predictive and surrogate markers to enhance assessment and successful application of immunotherapies.
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Affiliation(s)
- Dario Gosmann
- Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Lisa Russelli
- Klinik und Poliklinik für Nuklearmedizin, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Wolfgang A Weber
- Klinik und Poliklinik für Nuklearmedizin, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Markus Schwaiger
- Klinik und Poliklinik für Nuklearmedizin, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Angela M Krackhardt
- Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany. .,German Cancer Consortium (DKTK), Partner-Site Munich and German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Calogero D'Alessandria
- Klinik und Poliklinik für Nuklearmedizin, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
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36
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Hamed RA, Marks S, Mcelligott H, Kalachand R, Ibrahim H, Atyani S, Korpanty G, Osman N. Inoperable de novo metastatic colorectal cancer with primary tumour in situ: Evaluating discordant responses to upfront systemic therapy of the primary tumours and metastatic sites and complications arising from primary tumours (experiences from an Irish Cancer Centre). Mol Clin Oncol 2022; 16:40. [PMID: 35003738 PMCID: PMC8739439 DOI: 10.3892/mco.2021.2472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 11/22/2021] [Indexed: 12/24/2022] Open
Abstract
Systemic therapy is the mainstay of treatment for de novo metastatic colorectal cancer (mCRC). Heterogeneity between primary tumours and metastases may lead to discordant responses to systemic therapy at these sites. The aim of the present study was to examine these discrepancies and to evaluate the rates of complications arising from the primary tumour and the strategies employed to manage these complications. Electronic medical records were screened for patients eligible for data analysis between January 1st, 2014 and December 31st, 2019. All patients diagnosed with de novo mCRC with primary tumour in situ at the time of initial systemic therapy were included in data analysis. Responses in primary tumour and metastatic sites (according to the Response Evaluation Criteria In Solid Tumours v1.1), discrepancies in these responses and rates of complications arising from primary tumours were assessed along with patient, pathological or molecular factors that may be associated with these discrepant responses or primary tumour complications. A total of 50 patients were identified (median age, 62 years). Right-colon, left-colon and rectal primary tumours comprised 34, 44 and 22% of CRC cases, respectively. All patients received 5-fluorouracil-based chemotherapy (either alone or in combination with oxaliplatin or irinotecan). Disease response (DR), stable disease (SD) and progressive disease (PD) were observed as the first response to systemic therapy in 24, 62 and 12% of primary tumours and in 36, 18 and 44% of metastatic sites, respectively. Only 36% of patients demonstrated concordant responses between the primary tumours and metastases, while the remaining 62% demonstrated discordant responses between the primary tumour and distant metastases (22% had DR with SD; 36% had DR or SD with PD; and 4% had PD with SD in the primary tumour and metastases, respectively). Restaging images were not available for 2% of the patients. Approximately 30% of patients developed complications from primary tumours, including bowel obstruction (6.12%), perforation (6%), rectal pain (6%) and rectal bleeding (10%). Approximately 10% of patients underwent palliative stoma creation. Additionally, 12% required palliative radiotherapy to the primary tumour (due to localized complications arising from the tumour). Discordant responses to systemic therapy between primary tumours and metastases occurred in 60% of patients with de novo mCRC (with primary tumour in situ at the time of first systemic therapy). The observations of the present study have potential implications for molecular tissue analysis to help guide systemic therapy. Tissue from metastatic sites may be preferable to confirm biomarker status in mCRC based on this study.
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Affiliation(s)
- Ruba A Hamed
- Department of Oncology, Mid-Western Cancer Centre, University Hospital Limerick, Limerick V94 F858, Ireland
| | - Sam Marks
- Department of Oncology, Mid-Western Cancer Centre, University Hospital Limerick, Limerick V94 F858, Ireland
| | - Helen Mcelligott
- Department of Oncology, Mid-Western Cancer Centre, University Hospital Limerick, Limerick V94 F858, Ireland
| | - Roshni Kalachand
- Department of Oncology, Mid-Western Cancer Centre, University Hospital Limerick, Limerick V94 F858, Ireland
| | - Hawa Ibrahim
- Palliative Department, St. Francis Hospice, Dublin 5 D05 T9K8, Ireland
| | - Said Atyani
- Radiology Department, University Hospital Limerick, Limerick V94 F858, Ireland
| | - Greg Korpanty
- Department of Oncology, Mid-Western Cancer Centre, University Hospital Limerick, Limerick V94 F858, Ireland
| | - Nemer Osman
- Department of Oncology, Mid-Western Cancer Centre, University Hospital Limerick, Limerick V94 F858, Ireland
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Sholl LM. Biomarkers of response to checkpoint inhibitors beyond PD-L1 in lung cancer. Mod Pathol 2022; 35:66-74. [PMID: 34608245 DOI: 10.1038/s41379-021-00932-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/23/2021] [Accepted: 09/07/2021] [Indexed: 12/23/2022]
Abstract
Immunotherapy, including use of checkpoint inhibitors against PD-1, PD-L1, and CTLA-4, forms the backbone of oncologic management for the majority of non-small cell lung carcinoma patients. However, response to these therapies varies widely, from patients who have complete resolution of metastatic disease and long-term remission, to those who rapidly progress and succumb to their cancer despite use of the newest checkpoint inhibitors. While PD-L1 protein expression by immunohistochemistry serves as the principle predictive biomarker for immunotherapy response, neither the sensitivity nor the specificity of this approach is optimal, and clinical PD-L1 testing is plagued by concerns around result reproducibility and confusion born from the proliferation of different companion diagnostic assays. At the same time, insights into tumor and host immune-specific factors that inform both prognosis and response prediction are beginning to define better immunotherapy biomarkers. Beyond immune checkpoint expression status, common themes in analyses of immunotherapy response prediction include cancer neoantigen production, the state of the antigen presentation pathway in both tumor and antigen presenting cells, the admixture of effector and suppressor immune cells in the tumor microenvironment, and the genomic drivers and comutations that can influence the all of these variables. This review will address the state of PD-L1 testing in lung cancer, the role for tumor mutation burden as a predictive biomarker, the evolving status of human leukocyte antigen/major histocompatibility complex expression as a marker of antigen presentation, approaches to tumor immune cell quantitation including by multiplex immunofluorescence, and the importance of tumor genomic profiling to ascertain oncogenic driver (EGFR, ALK, KRAS, MET, etc.) and co-mutation (STK11, KEAP1, SMARCA4) status.
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Affiliation(s)
- Lynette M Sholl
- Department of Pathology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
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Maclean D, Tsakok M, Gleeson F, Breen DJ, Goldin R, Primrose J, Harris A, Franklin J. Comprehensive Imaging Characterization of Colorectal Liver Metastases. Front Oncol 2021; 11:730854. [PMID: 34950575 PMCID: PMC8688250 DOI: 10.3389/fonc.2021.730854] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 11/15/2021] [Indexed: 12/21/2022] Open
Abstract
Colorectal liver metastases (CRLM) have heterogenous histopathological and immunohistochemical phenotypes, which are associated with variable responses to treatment and outcomes. However, this information is usually only available after resection, and therefore of limited value in treatment planning. Improved techniques for in vivo disease assessment, which can characterise the variable tumour biology, would support further personalization of management strategies. Advanced imaging of CRLM including multiparametric MRI and functional imaging techniques have the potential to provide clinically-actionable phenotypic characterisation. This includes assessment of the tumour-liver interface, internal tumour components and treatment response. Advanced analysis techniques, including radiomics and machine learning now have a growing role in assessment of imaging, providing high-dimensional imaging feature extraction which can be linked to clinical relevant tumour phenotypes, such as a the Consensus Molecular Subtypes (CMS). In this review, we outline how imaging techniques could reproducibly characterize the histopathological features of CRLM, with several matched imaging and histology examples to illustrate these features, and discuss the oncological relevance of these features. Finally, we discuss the future challenges and opportunities of CRLM imaging, with a focus on the potential value of advanced analytics including radiomics and artificial intelligence, to help inform future research in this rapidly moving field.
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Affiliation(s)
- Drew Maclean
- Department of Radiology, University Hospital Southampton, Southampton, United Kingdom.,Department of Medical Imaging, Bournemouth University, Bournemouth, United Kingdom
| | - Maria Tsakok
- Department of Radiology, Oxford University Hospitals, Oxford, United Kingdom
| | - Fergus Gleeson
- Department of Oncology, Oxford University, Oxford, United Kingdom
| | - David J Breen
- Department of Radiology, University Hospital Southampton, Southampton, United Kingdom
| | - Robert Goldin
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom
| | - John Primrose
- Department of Surgery, University Hospital Southampton, Southampton, United Kingdom.,Academic Unit of Cancer Sciences, University of Southampton, Southampton, United Kingdom
| | - Adrian Harris
- Department of Oncology, Oxford University, Oxford, United Kingdom
| | - James Franklin
- Department of Medical Imaging, Bournemouth University, Bournemouth, United Kingdom
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Polesel J, Menegaldo A, Tirelli G, Giacomarra V, Guerrieri R, Baboci L, Casarotto M, Lupato V, Fanetti G, Boscolo-Rizzo P, Fratta E. Prognostic Significance of PD-L1 Expression In Patients With Primary Oropharyngeal Squamous Cell Carcinoma: A Meta-Analysis. Front Oncol 2021; 11:787864. [PMID: 34900743 PMCID: PMC8655333 DOI: 10.3389/fonc.2021.787864] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/08/2021] [Indexed: 01/29/2023] Open
Abstract
Background At present, the prognostic significance of programmed cell death receptor ligand 1 (PD-L1) expression in oropharyngeal squamous cell carcinoma (OPSCC) patients is still controversial. In this study, we aim to synthesize relevant studies that have assessed the prognostic value of PD-L1 in patients with primary OPSCC treated according to the current standard-of-care. Methods A systematic search of Medline/PubMed, Cochrane, Embase, Web of Science, and Scopus was conducted to define the prognostic role of PD-L1 expression in OPSCC. All studies published before July 31, 2021 were screened. Summary hazard ratios (sHR) with 95% confidence intervals (CIs) were calculated using a random-effects model. Results A total of 1522 OPSCC patients from 12 studies were included. PD-L1 expression in OPSCC tumor cells (TCs) was significantly associated with longer overall survival (sHR=0.63, 95% CI 0.50-0.79), and progression-free survival (sHR=0.62, 95% CI 0.49-0.79). A benefit in survival was also observed in PD-L1-positive OPSCC patients who underwent surgery (sHR=0.34, 95% CI 0.18-0.65). Finally, although PD-L1-positive expression was related to better outcomes both in HPV-negative and HPV-positive OPSCC, the difference reached the statistical significance only in the HPV-positive subgroup (sHR=0.37, 95% CI 0.19-0.73). No heterogeneity emerged between studies for all considered outcomes, with I2 ranging from 0% for progression-free survival to 11% for overall survival. Conclusions PD-L1 expression on TCs associated with improved survival in OPSCC. In particular, HPV-positive OPSCC most benefited from PD-L1 expression when compared to the PD-L1 negative counterpart. Thus, PD-L1 might represent a useful biomarker to stratify prognosis in OPSCC in addition to HPV status.
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Affiliation(s)
- Jerry Polesel
- Unit of Cancer Epidemiology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Anna Menegaldo
- Unit of Otolaryngology, AULSS 2 - Marca Trevigiana, Treviso, Italy
| | - Giancarlo Tirelli
- Department of Medical, Surgical and Health Sciences, Section of Otolaryngology, University of Trieste, Trieste, Italy
| | - Vittorio Giacomarra
- Division of Otolaryngology, General Hospital "S. Maria degli Angeli", Pordenone, Italy
| | - Roberto Guerrieri
- Division of Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Lorena Baboci
- Division of Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Mariateresa Casarotto
- Division of Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Valentina Lupato
- Division of Otolaryngology, General Hospital "S. Maria degli Angeli", Pordenone, Italy
| | - Giuseppe Fanetti
- Division of Radiotherapy, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
| | - Paolo Boscolo-Rizzo
- Department of Medical, Surgical and Health Sciences, Section of Otolaryngology, University of Trieste, Trieste, Italy
| | - Elisabetta Fratta
- Division of Immunopathology and Cancer Biomarkers, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, Aviano, Italy
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de Castria TB, Tang L, Queiroz MM, Awni BM, Paroder V, Shamseddine A, Bariani GM, Mukherji D, Matar CF, Fernandes GDS, El-Olayan A, Sabatin F, Elias R, Gupta R, Janjigian YY, Abou-Alfa GK. Hepatoid esophagogastric adenocarcinoma and tumoral heterogeneity: a case report. J Gastrointest Oncol 2021; 12:3123-3132. [PMID: 35070435 PMCID: PMC8748022 DOI: 10.21037/jgo-21-287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 09/30/2021] [Indexed: 08/30/2023] Open
Abstract
Hepatoid adenocarcinoma of the stomach is an uncommon subtype of gastric cancer remarkably similar to hepatocellular carcinoma in histopathological analysis. It is also commonly associated with high serum alfa-fetoprotein and a poorer prognosis, despite the emergence of new therapeutic options. In recent years, next generation sequencing (NGS) technology has made it possible to identify and describe the genes and molecular alterations common to gastric cancer thereby contributing to the advancement of targeted therapies. A 62-year-old patient, with no prior risk factor for hepatocellular carcinoma (HCC), presented to the emergency room with dysphagia for solids, abdominal pain and weight loss of about 3 kilograms over 3 months. Histopathological analysis presented with disparities regarding HER2 and programmed death-ligand 1 (PD-L1) status in the primary and metastatic sites. We describe a case of a de novo metastatic, human epidermal growth factor receptor 2 (HER2) positive esophagogastric junction hepatoid adenocarcinoma. Although this is a rare subgroup of gastric cancer, treatment strategies were based in recent studies in immunotherapy and guided therapy, taking into consideration the molecular findings from the patient's tumor NGS analysis. Data about HER2 and PDL1 heterogeneity were also reviewed. Despite the aggressiveness and rarity of this histology, the patient had a good response to treatment.
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Affiliation(s)
- Tiago Biachi de Castria
- Centro de Oncologia, Hospital Sírio-Libanês, São Paulo, SP, Brasil
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laura Tang
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Medical College at Cornell University, New York, NY, USA
| | | | | | - Viktoriya Paroder
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Medical College at Cornell University, New York, NY, USA
| | | | | | | | | | | | - Ashwaq El-Olayan
- National Guard Hospital, King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia
| | - Fouad Sabatin
- National Guard Hospital, King Abdulaziz Medical City, Riyadh, Kingdom of Saudi Arabia
| | | | | | - Yelena Y. Janjigian
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Medical College at Cornell University, New York, NY, USA
| | - Ghassan K. Abou-Alfa
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Medical College at Cornell University, New York, NY, USA
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Jeong S, Lee N, Park MJ, Jeon K, Song W. Currently Used Laboratory Methodologies for Assays Detecting PD-1, PD-L1, PD-L2 and Soluble PD-L1 in Patients with Metastatic Breast Cancer. Cancers (Basel) 2021; 13:cancers13205225. [PMID: 34680373 PMCID: PMC8534186 DOI: 10.3390/cancers13205225] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/07/2021] [Accepted: 10/13/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Several methods targeting the programmed death protein-1 (PD-1) axis have been developed and evaluated for the detection of immune checkpoint levels that are strongly involved in immunotherapy for patients with metastatic breast cancer. Variations in different assays used in diverse studies have affected their result interpretation and clinical utility. When applying these assays to the laboratory, a comprehensive understanding of the characteristics of them should be recognized. We reviewed applied laboratory techniques for detecting PD-1, PD-ligand (L)1, PD-L2, and soluble PD-L1, which are important for selecting metastatic cancer patients for immunotherapy. Advances in methodologies according to the epoch are also investigated to gain insight into immunologic techniques and to facilitate appropriate laboratory settings for evaluating the PD-1 axis status, which are useful for estimating outcomes and planning patient-tailored immunotherapy strategies. Abstract Approximately 20% of breast cancer (BC) patients suffer from distant metastasis. The incidence and prevalence rates of metastatic BC have increased annually. Immune checkpoint inhibitors are an emerging area of treatment, especially for metastatic patients with poor outcomes. Several antibody drugs have been developed and approved for companion testing of the programmed death protine-1 (PD-1) axis. We reviewed currently used laboratory methodologies for assays determining PD-1 axis to provide a comprehensive understanding of principles, advantages, and drawbacks involved in their implementation. The most commonly used method is immunohistochemistry (92.9%) for PD-L1 expression using tissue samples (96.4%). The commonly used anti-PD-L1 antibody clone were commercially available 22C3 (30.8%), SP142 (19.2%), SP263 (15.4%), and E1L3N (11.5%). Enzyme-linked immunosorbent assay and electrochemiluminescent immunoassay that target soluble PD-ligand (L)1 were developed and popularized in 2019–2021, in contrast to 2016–2018. Easy accessibility and non-invasiveness due to the use of blood samples, quantitative outputs, and relatively rapid turnaround times make them more preferable. Regarding scoring methods, a combination of tumor and immune cells (45.5% in 2016–2018 to 57.1% in 2019–2021) rather than each cell alone became more popular. Information about antibody clones, platforms, scoring methods, and related companion drugs is recommended for reporting PD-L1 expression.
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Affiliation(s)
- Seri Jeong
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07440, Korea; (S.J.); (N.L.); (M.-J.P.)
| | - Nuri Lee
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07440, Korea; (S.J.); (N.L.); (M.-J.P.)
| | - Min-Jeong Park
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07440, Korea; (S.J.); (N.L.); (M.-J.P.)
| | - Kibum Jeon
- Department of Laboratory Medicine, Hangang Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07440, Korea;
| | - Wonkeun Song
- Department of Laboratory Medicine, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul 07440, Korea; (S.J.); (N.L.); (M.-J.P.)
- Correspondence: ; Tel.: +82-2-829-5259
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Battaglia A, Piermattei A, Buzzonetti A, Pasciuto T, Zampetti N, Fossati M, Angelico G, Iacobelli V, Nero C, Iannucci V, Scambia G, Fagotti A, Fattorossi A. PD-L1 Expression on Circulating Tumour-Derived Microvesicles as a Complementary Tool for Stratification of High-Grade Serous Ovarian Cancer Patients. Cancers (Basel) 2021; 13:cancers13205200. [PMID: 34680346 PMCID: PMC8534085 DOI: 10.3390/cancers13205200] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 10/13/2021] [Accepted: 10/14/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Ovarian cancer (OC) has recently attracted attention for the use of PD-1/PD-L1 axis blocking agents, with durable activity reported only in a subset of patients. The most used biomarker for sensitivity to the PD-1/PD-L1 axis blockade is tumour PD-L1 status by immunohistochemistry. However, patient stratification using this method suffers from intrinsic heterogeneity of OC, likely contributing to the unsatisfactory results obtained so far. Cells communicate with each other by releasing microvesicles (MVs) that carry parental cell surface features. Thus, we hypothesised that PD-L1+ tumour cells (TC) and infiltrating PD-L1+ leukocytes should shed MVs carrying surface PD-L1 that may serve as a proxy for the whole tumour PD-L1 status. RESULTS We showed for the first time the presence of measurable amounts of TC- and leukocyte-derived PD-L1+ MVs (range: 1.4-178.8 MVs/μL and 6.2-504.8 MVs/μL, respectively) in the plasma of high-grade serous OC (HGSOC) patients (n = 63), using a sensitive flow cytometry platform. The concentration of PD-L1+ MVs of either origin did not associate with the PD-L1 status of TCs and leukocytes in the tumour biopsies, suggesting that the circulating PD-L1+ MVs also included ones from locations not selected for immunohistochemistry analysis and represented the PD-L1 status of the whole tumour mass. In this study, we also describe the serendipitous discovery of circulating PD-L1+ MVs of platelet origin (10.3-2409.6 MVs/μL). CONCLUSIONS The enumeration of circulating PD-L1+ MVs in HGSOC patients may provide a novel direction for assessing the tumour PD-L1 status and contribute to HGSOC patient stratification for immunotherapy interventions. The presence of circulating PD-L1+ MVs of platelet origin, a finding not yet reported in HGSOC patients, warrants further studies.
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Affiliation(s)
- Alessandra Battaglia
- Department of Life Science and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.N.); (G.S.); (A.F.)
- Correspondence:
| | - Alessia Piermattei
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Alexia Buzzonetti
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Tina Pasciuto
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Nicole Zampetti
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Marco Fossati
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Giuseppe Angelico
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Valentina Iacobelli
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Camilla Nero
- Department of Life Science and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.N.); (G.S.); (A.F.)
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Veronica Iannucci
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Giovanni Scambia
- Department of Life Science and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.N.); (G.S.); (A.F.)
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Anna Fagotti
- Department of Life Science and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy; (C.N.); (G.S.); (A.F.)
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
| | - Andrea Fattorossi
- Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy; (A.P.); (A.B.); (T.P.); (N.Z.); (M.F.); (G.A.); (V.I.); (V.I.); (A.F.)
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Liberini V, Mariniello A, Righi L, Capozza M, Delcuratolo MD, Terreno E, Farsad M, Volante M, Novello S, Deandreis D. NSCLC Biomarkers to Predict Response to Immunotherapy with Checkpoint Inhibitors (ICI): From the Cells to In Vivo Images. Cancers (Basel) 2021; 13:4543. [PMID: 34572771 PMCID: PMC8464855 DOI: 10.3390/cancers13184543] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 09/06/2021] [Accepted: 09/08/2021] [Indexed: 12/24/2022] Open
Abstract
Lung cancer remains the leading cause of cancer-related death, and it is usually diagnosed in advanced stages (stage III or IV). Recently, the availability of targeted strategies and of immunotherapy with checkpoint inhibitors (ICI) has favorably changed patient prognosis. Treatment outcome is closely related to tumor biology and interaction with the tumor immune microenvironment (TME). While the response in molecular targeted therapies relies on the presence of specific genetic alterations in tumor cells, accurate ICI biomarkers of response are lacking, and clinical outcome likely depends on multiple factors that are both host and tumor-related. This paper is an overview of the ongoing research on predictive factors both from in vitro/ex vivo analysis (ranging from conventional pathology to molecular biology) and in vivo analysis, where molecular imaging is showing an exponential growth and use due to technological advancements and to the new bioinformatics approaches applied to image analyses that allow the recovery of specific features in specific tumor subclones.
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Affiliation(s)
- Virginia Liberini
- Department of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Turin, Italy;
- Nuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, Italy
| | - Annapaola Mariniello
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Luisella Righi
- Pathology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (L.R.); (M.V.)
| | - Martina Capozza
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Marco Donatello Delcuratolo
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Enzo Terreno
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Mohsen Farsad
- Nuclear Medicine, Central Hospital Bolzano, 39100 Bolzano, Italy;
| | - Marco Volante
- Pathology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (L.R.); (M.V.)
| | - Silvia Novello
- Thoracic Oncology Unit, Department of Oncology, S. Luigi Gonzaga Hospital, University of Turin, 10043 Orbassano, Italy; (A.M.); (M.D.D.); (S.N.)
| | - Désirée Deandreis
- Department of Medical Science, Division of Nuclear Medicine, University of Turin, 10126 Turin, Italy;
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Boman C, Zerdes I, Mårtensson K, Bergh J, Foukakis T, Valachis A, Matikas A. Discordance of PD-L1 status between primary and metastatic breast cancer: A systematic review and meta-analysis. Cancer Treat Rev 2021; 99:102257. [PMID: 34237488 DOI: 10.1016/j.ctrv.2021.102257] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/24/2021] [Accepted: 06/26/2021] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Programmed cell death ligand 1 (PD-L1) expression is predictive for benefit from immunotherapy in several human malignancies including triple negative breast cancer. Lower positivity rates but a larger relative benefit from atezolizumab has been implied when PD-L1 status is assessed at metastatic sites. We aimed to study the discordance of PD-L1 expression between primary tumor and metastasis in breast cancer due to its potential clinical utility. METHODS Cochrane Library, Embase, Medline and Web of science were searched for studies reporting on PD-L1 expression in primary and metastatic breast cancer, followed by data extraction. Outcomes included pooled PD-L1 positivity rates in tumor cells, immune cells or both in primary tumor and metastasis, PD-L1 discordance between matched primary tumors and metastasis and direction of discordance. RESULTS Of 2552 identified entries following de-duplication, 20 studies fulfilled the predefined inclusion criteria. Pooled PD-L1 positivity rate was higher in primary tumors compared to metastasis when assessed in immune cells (51.2% vs 37.1% p < 0.001) and tumor/immune cells (30.1% vs 14.6% p < 0.001), but not in tumor cells (18.7% vs 17.8% p = 0.65). PD-L1 positivity was lowest when assessed in bone metastases (12%) and highest in lymph nodes (60%). Discordance between primary tumors and metastasis was bidirectional, with higher pooled discordance rates when PD-L1 expression was assessed in immune compared to tumor cells (39.5% vs 13.6%, p < 0.001). CONCLUSION The observed considerable discordance between PD-L1 status in primary and metastatic breast cancer emphasizes the importance of appropriate tissue sampling when selecting patients for immunotherapy.
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Affiliation(s)
- Caroline Boman
- Department of Oncology-Pathology, Karolinska Institutet Visionsgatan 4, Bioclinicum, 171 74 Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Gävlegatan 55, 171 64 Solna, Sweden.
| | - Ioannis Zerdes
- Department of Oncology-Pathology, Karolinska Institutet Visionsgatan 4, Bioclinicum, 171 74 Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Gävlegatan 55, 171 64 Solna, Sweden
| | - Kira Mårtensson
- Department of Clinical Pathology and Cytology, Karolinska University Laboratory, 171 76 Stockholm, Sweden
| | - Jonas Bergh
- Department of Oncology-Pathology, Karolinska Institutet Visionsgatan 4, Bioclinicum, 171 74 Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Gävlegatan 55, 171 64 Solna, Sweden
| | - Theodoros Foukakis
- Department of Oncology-Pathology, Karolinska Institutet Visionsgatan 4, Bioclinicum, 171 74 Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Gävlegatan 55, 171 64 Solna, Sweden
| | - Antonios Valachis
- Department of Oncology, Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden
| | - Alexios Matikas
- Department of Oncology-Pathology, Karolinska Institutet Visionsgatan 4, Bioclinicum, 171 74 Stockholm, Sweden; Breast Center, Theme Cancer, Karolinska University Hospital, Stockholm, Gävlegatan 55, 171 64 Solna, Sweden
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Liberini V, Laudicella R, Capozza M, Huellner MW, Burger IA, Baldari S, Terreno E, Deandreis D. The Future of Cancer Diagnosis, Treatment and Surveillance: A Systemic Review on Immunotherapy and Immuno-PET Radiotracers. Molecules 2021; 26:2201. [PMID: 33920423 PMCID: PMC8069316 DOI: 10.3390/molecules26082201] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/07/2021] [Accepted: 04/09/2021] [Indexed: 12/12/2022] Open
Abstract
Immunotherapy is an effective therapeutic option for several cancers. In the last years, the introduction of checkpoint inhibitors (ICIs) has shifted the therapeutic landscape in oncology and improved patient prognosis in a variety of neoplastic diseases. However, to date, the selection of the best patients eligible for these therapies, as well as the response assessment is still challenging. Patients are mainly stratified using an immunohistochemical analysis of the expression of antigens on biopsy specimens, such as PD-L1 and PD-1, on tumor cells, on peritumoral immune cells and/or in the tumor microenvironment (TME). Recently, the use and development of imaging biomarkers able to assess in-vivo cancer-related processes are becoming more important. Today, positron emission tomography (PET) with 2-deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) is used routinely to evaluate tumor metabolism, and also to predict and monitor response to immunotherapy. Although highly sensitive, FDG-PET in general is rather unspecific. Novel radiopharmaceuticals (immuno-PET radiotracers), able to identify specific immune system targets, are under investigation in pre-clinical and clinical settings to better highlight all the mechanisms involved in immunotherapy. In this review, we will provide an overview of the main new immuno-PET radiotracers in development. We will also review the main players (immune cells, tumor cells and molecular targets) involved in immunotherapy. Furthermore, we report current applications and the evidence of using [18F]FDG PET in immunotherapy, including the use of artificial intelligence (AI).
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MESH Headings
- Antineoplastic Agents, Immunological/therapeutic use
- Artificial Intelligence
- B7-H1 Antigen/genetics
- B7-H1 Antigen/immunology
- Fluorodeoxyglucose F18/administration & dosage
- Fluorodeoxyglucose F18/chemistry
- Gene Expression Regulation, Neoplastic/drug effects
- Humans
- Immune Checkpoint Inhibitors/chemistry
- Immune Checkpoint Inhibitors/metabolism
- Immunotherapy, Adoptive/methods
- Killer Cells, Natural/drug effects
- Killer Cells, Natural/immunology
- Killer Cells, Natural/pathology
- Neoplasms/diagnostic imaging
- Neoplasms/genetics
- Neoplasms/immunology
- Neoplasms/therapy
- Positron-Emission Tomography/methods
- Programmed Cell Death 1 Receptor/genetics
- Programmed Cell Death 1 Receptor/immunology
- Radiopharmaceuticals/administration & dosage
- Radiopharmaceuticals/chemical synthesis
- Signal Transduction
- T-Lymphocytes, Cytotoxic/drug effects
- T-Lymphocytes, Cytotoxic/immunology
- T-Lymphocytes, Cytotoxic/pathology
- T-Lymphocytes, Regulatory/drug effects
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/pathology
- Tumor Microenvironment/drug effects
- Tumor Microenvironment/genetics
- Tumor Microenvironment/immunology
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Affiliation(s)
- Virginia Liberini
- Department of Medical Science, Division of Nuclear Medicine, University of Torino, 10126 Torino, Italy;
| | - Riccardo Laudicella
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy; (R.L.); (S.B.)
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8006 Zurich, Switzerland; (M.W.H.); (I.A.B.)
| | - Martina Capozza
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Martin W. Huellner
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8006 Zurich, Switzerland; (M.W.H.); (I.A.B.)
| | - Irene A. Burger
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8006 Zurich, Switzerland; (M.W.H.); (I.A.B.)
- Department of Nuclear Medicine, Kantonsspital Baden, 5004 Baden, Switzerland
| | - Sergio Baldari
- Department of Biomedical and Dental Sciences and of Morpho-Functional Imaging, Nuclear Medicine Unit, University of Messina, 98125 Messina, Italy; (R.L.); (S.B.)
| | - Enzo Terreno
- Molecular & Preclinical Imaging Centers, Department of Molecular Biotechnology and Health Sciences, University of Torino, Via Nizza 52, 10126 Torino, Italy; (M.C.); (E.T.)
| | - Désirée Deandreis
- Department of Medical Science, Division of Nuclear Medicine, University of Torino, 10126 Torino, Italy;
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Zeng Z, Yang B, Liao Z. Biomarkers in Immunotherapy-Based Precision Treatments of Digestive System Tumors. Front Oncol 2021; 11:650481. [PMID: 33777812 PMCID: PMC7991593 DOI: 10.3389/fonc.2021.650481] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 02/08/2021] [Indexed: 02/05/2023] Open
Abstract
Immunotherapy, represented by immune checkpoint inhibitors (mainly referring to programmed death-1 (PD-1)/programmed death-ligand 1 (PD-L1) blockades), derives durable remission and survival benefits for multiple tumor types including digestive system tumors [gastric cancer (GC), colorectal cancer (CRC), and hepatocellular carcinoma (HCC)], particularly those with metastatic or recurrent lesions. Even so, not all patients would respond well to anti-programmed death-1/programmed death-ligand 1 agents (anti-PD-1/PD-L1) in gastrointestinal malignancies, suggesting the need for biomarkers to identify the responders and non-responders, as well as to predict the clinical outcomes. PD-L1expression has increasingly emerged as a potential biomarker when predicting the immunotherapy-based efficacy; but regrettably, PD-L1 alone is not sufficient to differentiate patients. Other molecules, such as tumor mutational burden (TMB), microsatellite instability (MSI), and circulating tumor DNA (ctDNA) as well, are involved in further explorations. Overall, there are not still no perfect or well-established biomarkers in immunotherapy for digestive system tumors at present as a result of the inherent limitations, especially for HCC. Standardizing and harmonizing the assessments of existing biomarkers, and meanwhile, switching to other novel biomarkers are presumably wise and feasible.
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Affiliation(s)
- Zhu Zeng
- Department of Abdominal Oncology, West China Medical School, West China Hospital, Sichuan University, Chengdu, China
| | - Biao Yang
- Department of Gastroenterology, West China Hospital, West China Medical School, Sichuan University, Chengdu, China
| | - Zhengyin Liao
- Department of Abdominal Oncology, West China Medical School, West China Hospital, Sichuan University, Chengdu, China
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