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Wang B, Wang K, Wu D, Sahni S, Jiang P, Ruppin E. Decoupling the correlation between cytotoxic and exhausted T lymphocyte states enhances melanoma immunotherapy response prediction. iScience 2024; 27:109926. [PMID: 38832027 PMCID: PMC11145333 DOI: 10.1016/j.isci.2024.109926] [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: 11/28/2023] [Revised: 03/24/2024] [Accepted: 05/03/2024] [Indexed: 06/05/2024] Open
Abstract
Cytotoxic T lymphocyte (CTL) and terminal exhausted T lymphocyte (ETL) activities crucially influence immune checkpoint inhibitor (ICI) response. Despite this, the efficacy of ETL and CTL transcriptomic signatures for response prediction remains limited. Investigating this across the TCGA and publicly available single-cell cohorts, we find a strong positive correlation between ETL and CTL expression signatures in most cancers. We hence posited that their limited predictability arises due to their mutually canceling effects on ICI response. Thus, we developed DETACH, a computational method to identify a gene set whose expression pinpoints to a subset of melanoma patients where the CTL and ETL correlation is low. DETACH enhances CTL's prediction accuracy, outperforming existing signatures. DETACH signature genes activity also demonstrates a positive correlation with lymphocyte infiltration and the prevalence of reactive T cells in the tumor microenvironment (TME), advancing our understanding of the CTL cell state within the TME.
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Affiliation(s)
- Binbin Wang
- Cancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD USA
| | - Kun Wang
- Cancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD USA
| | - Di Wu
- Laboratory of Pathology, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD USA
| | - Sahil Sahni
- Cancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD USA
| | - Peng Jiang
- Cancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research (CCR), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD USA
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Wang AZ, Mashimo BL, Schaettler MO, Sherpa ND, Leavitt LA, Livingstone AJ, Khan SM, Li M, Anzaldua-Campos MI, Bradley JD, Leuthardt EC, Kim AH, Dowling JL, Chicoine MR, Jones PS, Choi BD, Cahill DP, Carter BS, Petti AA, Johanns TM, Dunn GP. Glioblastoma-Infiltrating CD8+ T Cells Are Predominantly a Clonally Expanded GZMK+ Effector Population. Cancer Discov 2024; 14:1106-1131. [PMID: 38416133 DOI: 10.1158/2159-8290.cd-23-0913] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 12/20/2023] [Accepted: 02/26/2024] [Indexed: 02/29/2024]
Abstract
Recent clinical trials have highlighted the limited efficacy of T cell-based immunotherapy in patients with glioblastoma (GBM). To better understand the characteristics of tumor-infiltrating lymphocytes (TIL) in GBM, we performed cellular indexing of transcriptomes and epitopes by sequencing and single-cell RNA sequencing with paired V(D)J sequencing, respectively, on TILs from two cohorts of patients totaling 15 patients with high-grade glioma, including GBM or astrocytoma, IDH-mutant, grade 4 (G4A). Analysis of the CD8+ TIL landscape reveals an enrichment of clonally expanded GZMK+ effector T cells in the tumor compared with matched blood, which was validated at the protein level. Furthermore, integration with other cancer types highlights the lack of a canonically exhausted CD8+ T-cell population in GBM TIL. These data suggest that GZMK+ effector T cells represent an important T-cell subset within the GBM microenvironment and may harbor potential therapeutic implications. SIGNIFICANCE To understand the limited efficacy of immune-checkpoint blockade in GBM, we applied a multiomics approach to understand the TIL landscape. By highlighting the enrichment of GZMK+ effector T cells and the lack of exhausted T cells, we provide a new potential mechanism of resistance to immunotherapy in GBM. This article is featured in Selected Articles from This Issue, p. 897.
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Affiliation(s)
- Anthony Z Wang
- Department of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bryce L Mashimo
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Maximilian O Schaettler
- Department of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, Missouri
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Ngima D Sherpa
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Biological and Biomedical Sciences Graduate Program, Harvard University, Cambridge, Massachusetts
| | - Lydia A Leavitt
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky
| | - Alexandra J Livingstone
- Department of Medicine, Division of Medical Oncology, Washington University School of Medicine, St. Louis, Missouri
| | - Saad M Khan
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Mao Li
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Markus I Anzaldua-Campos
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Neuroscience Undergraduate Program, Harvard University, Cambridge, Massachusetts
| | - Joseph D Bradley
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Eric C Leuthardt
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
- Brain Tumor Center, Washington University School of Medicine/Siteman Cancer Center, St. Louis, Missouri
| | - Albert H Kim
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
- Brain Tumor Center, Washington University School of Medicine/Siteman Cancer Center, St. Louis, Missouri
| | - Joshua L Dowling
- Department of Neurological Surgery, Washington University School of Medicine, St. Louis, Missouri
- Brain Tumor Center, Washington University School of Medicine/Siteman Cancer Center, St. Louis, Missouri
| | - Michael R Chicoine
- Department of Neurological Surgery, University of Missouri-Columbia, Columbia, Missouri
| | - Pamela S Jones
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bryan D Choi
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Daniel P Cahill
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Bob S Carter
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Allegra A Petti
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Tanner M Johanns
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Brain Tumor Center, Washington University School of Medicine/Siteman Cancer Center, St. Louis, Missouri
| | - Gavin P Dunn
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
- Brain Tumor Immunology and Immunotherapy Program, Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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Studentova H, Hola K, Melichar B, Spisarova M. Neopterin as a potential prognostic and predictive biomarker in metastatic renal cell carcinoma treated with immune checkpoint inhibitors. Expert Rev Anticancer Ther 2024; 24:339-345. [PMID: 38596831 DOI: 10.1080/14737140.2024.2341734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 04/08/2024] [Indexed: 04/11/2024]
Abstract
INTRODUCTION Immunotherapy represents a significant and essential component of renal carcinoma therapy (RCC), but the selection of an optimal regimen for an individual patient remains unclear. Despite significant improvements in therapeutic options for RCC, predictive biomarkers for immunotherapeutic agents remain elusive. Neopterin is a biomarker of cell-mediated immune response, with concentrations increased in different disorders, including cancer. High neopterin levels herald, in general, a poor prognosis. AREAS COVERED This review briefly overviews the contemporary clinical data on biomarkers in metastatic RCC therapy, focusing on neopterin. EXPERT OPINION Elevated neopterin levels have been observed in tumors of different primary locations. Research indicates that neopterin may serve as a potential biomarker for assessing the inflammatory status associated with certain cancers. However, it is necessary to interpret neopterin levels in the context of a comprehensive clinical evaluation, as elevated neopterin alone is not specific to cancer and can be influenced by other factors, including comorbid conditions. Neopterin has also been identified as a prognostic biomarker. An increasing neopterin level in serum and urine is associated with advanced cancer, but the role as a potential predictor of response to immunotherapy has yet to be established. A reliable biomarker for optimal therapy selection in metastatic RCC is still putative.
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Affiliation(s)
- Hana Studentova
- Department of Oncology, University Hospital, Olomouc, Czech Republic
- Department of Oncology, Faculty of Medicine and Dentistry, Palacký University, Olomouc, Czech Republic
| | - Katerina Hola
- Department of Oncology, University Hospital, Olomouc, Czech Republic
- Department of Oncology, Faculty of Medicine and Dentistry, Palacký University, Olomouc, Czech Republic
| | - Bohuslav Melichar
- Department of Oncology, University Hospital, Olomouc, Czech Republic
- Department of Oncology, Faculty of Medicine and Dentistry, Palacký University, Olomouc, Czech Republic
| | - Martina Spisarova
- Department of Oncology, University Hospital, Olomouc, Czech Republic
- Department of Oncology, Faculty of Medicine and Dentistry, Palacký University, Olomouc, Czech Republic
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Shohdy K, Pillai M, Abbas K, Allison J, Waddell T, Darlington E, Mohammad S, Hood S, Atkinson S, Simpson K, Morgan D, Nathan P, Kilgour E, Dive C, Thistlethwaite F. Immune biomarker evaluation of sequential tyrosine kinase inhibitor and nivolumab monotherapies in renal cell carcinoma: the phase I TRIBE trial. IMMUNO-ONCOLOGY TECHNOLOGY 2024; 22:100712. [PMID: 38694705 PMCID: PMC11059457 DOI: 10.1016/j.iotech.2024.100712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/04/2024]
Abstract
Background Predictive biomarkers for immune checkpoint blockade in the second-line treatment of metastatic renal cell carcinoma (mRCC) are lacking. Materials and methods Patients with histologically confirmed RCC who started nivolumab after at least 4 months of tyrosine kinase inhibitors (TKIs) were recruited for this study. Serial tissue and blood samples were collected for immune biomarker evaluation. The primary endpoint was to determine the association of specific T-cell subsets with clinical outcomes tested using Wilcoxon rank sum for clinical benefit rate (CBR) and log-rank test for progression-free survival (PFS). Results Twenty patients were included in this trial with a median age of 64 years and followed-up for a median of 12 months. The median PFS for patients who received TKI was 13.8 months, while for those subsequently treated with nivolumab following TKI therapy, the median PFS was 2.6 months. CBR of nivolumab was 20% with two partial responses. Functionally active programmed cell death protein 1+ CD4+ T cells were enriched in non-responders (q = 0.003) and associated with worse PFS on nivolumab (P = 0.04). Responders showed a significant reduction in the effector CD4+T-cell (TEF) fraction compared to non-responders at 3 months on nivolumab (0.40 versus 0.80, P = 0.0005). CD127+CD4+ T cells were enriched in patients who developed immune-related adverse effects (q = 0.003). Using in-house validated multiplex immunohistochemistry for six markers, we measured tumour-associated immune cell densities in tissue samples. Responders to nivolumab showed a significantly higher mean of immune cell densities in tissue samples compared to non-responders (346 versus 87 cells/mm2, P = 0.04). Conclusions In this small study, analysis of tissue-based and peripheral blood immune cell subsets predicted clinical outcomes of nivolumab. Further studies are warranted with larger populations to validate these observations.
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Affiliation(s)
- K.S. Shohdy
- The Christie NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
| | - M. Pillai
- The Christie NHS Foundation Trust, Manchester, UK
| | - K.S. Abbas
- Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - J. Allison
- The Christie NHS Foundation Trust, Manchester, UK
| | - T. Waddell
- The Christie NHS Foundation Trust, Manchester, UK
| | | | - S. Mohammad
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, Manchester, UK
| | - S. Hood
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, Manchester, UK
| | - S. Atkinson
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, Manchester, UK
| | - K. Simpson
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, Manchester, UK
| | - D. Morgan
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, Manchester, UK
| | - P. Nathan
- Mount Vernon Cancer Centre - East and North Herts NHS Trust, Northwood, Middlesex, UK
| | - E. Kilgour
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, Manchester, UK
| | - C. Dive
- Cancer Biomarker Centre, Cancer Research UK Manchester Institute, Manchester, UK
| | - F. Thistlethwaite
- The Christie NHS Foundation Trust, Manchester, UK
- Division of Cancer Sciences, The University of Manchester, Manchester, UK
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Donado CA, Jonsson AH, Theisen E, Zhang F, Nathan A, Rupani KV, Jones D, Raychaudhuri S, Dwyer DF, Brenner MB. Granzyme K drives a newly-intentified pathway of complement activation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.22.595315. [PMID: 38826230 PMCID: PMC11142156 DOI: 10.1101/2024.05.22.595315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Granzymes are a family of serine proteases mainly expressed by CD8 + T cells, natural killer cells, and innate-like lymphocytes 1,2 . Although their major role is thought to be the induction of cell death in virally infected and tumor cells, accumulating evidence suggests some granzymes can regulate inflammation by acting on extracellular substrates 2 . Recently, we found that the majority of tissue CD8 + T cells in rheumatoid arthritis (RA) synovium, inflammatory bowel disease and other inflamed organs express granzyme K (GZMK) 3 , a tryptase-like protease with poorly defined function. Here, we show that GZMK can activate the complement cascade by cleaving C2 and C4. The nascent C4b and C2a fragments form a C3 convertase that cleaves C3, allowing further assembly of a C5 convertase that cleaves C5. The resulting convertases trigger every major event in the complement cascade, generating the anaphylatoxins C3a and C5a, the opsonins C4b and C3b, and the membrane attack complex. In RA synovium, GZMK is enriched in areas with abundant complement activation, and fibroblasts are the major producers of complement C2, C3, and C4 that serve as targets for GZMK-mediated complement activation. Our findings describe a previously unidentified pathway of complement activation that is entirely driven by lymphocyte-derived GZMK and proceeds independently of the classical, lectin, or alternative pathways. Given the widespread abundance of GZMK -expressing T cells in tissues in chronic inflammatory diseases and infection, GZMK-mediated complement activation is likely to be an important contributor to tissue inflammation in multiple disease contexts.
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Kinget L, Naulaerts S, Govaerts J, Vanmeerbeek I, Sprooten J, Laureano RS, Dubroja N, Shankar G, Bosisio FM, Roussel E, Verbiest A, Finotello F, Ausserhofer M, Lambrechts D, Boeckx B, Wozniak A, Boon L, Kerkhofs J, Zucman-Rossi J, Albersen M, Baldewijns M, Beuselinck B, Garg AD. A spatial architecture-embedding HLA signature to predict clinical response to immunotherapy in renal cell carcinoma. Nat Med 2024:10.1038/s41591-024-02978-9. [PMID: 38773341 DOI: 10.1038/s41591-024-02978-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 04/05/2024] [Indexed: 05/23/2024]
Abstract
An important challenge in the real-world management of patients with advanced clear-cell renal cell carcinoma (aRCC) is determining who might benefit from immune checkpoint blockade (ICB). Here we performed a comprehensive multiomics mapping of aRCC in the context of ICB treatment, involving discovery analyses in a real-world data cohort followed by validation in independent cohorts. We cross-connected bulk-tumor transcriptomes across >1,000 patients with validations at single-cell and spatial resolutions, revealing a patient-specific crosstalk between proinflammatory tumor-associated macrophages and (pre-)exhausted CD8+ T cells that was distinguished by a human leukocyte antigen repertoire with higher preference for tumoral neoantigens. A cross-omics machine learning pipeline helped derive a new tumor transcriptomic footprint of neoantigen-favoring human leukocyte antigen alleles. This machine learning signature correlated with positive outcome following ICB treatment in both real-world data and independent clinical cohorts. In experiments using the RENCA-tumor mouse model, CD40 agonism combined with PD1 blockade potentiated both proinflammatory tumor-associated macrophages and CD8+ T cells, thereby achieving maximal antitumor efficacy relative to other tested regimens. Thus, we present a new multiomics and spatial map of the immune-community architecture that drives ICB response in patients with aRCC.
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Affiliation(s)
- Lisa Kinget
- Laboratory of Experimental Oncology, KU Leuven, Leuven, Belgium
- Department of General Medical Oncology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium
| | - Stefan Naulaerts
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jannes Govaerts
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Isaure Vanmeerbeek
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Jenny Sprooten
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Raquel S Laureano
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium
| | - Nikolina Dubroja
- Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Gautam Shankar
- Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Francesca M Bosisio
- Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Eduard Roussel
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | | | - Francesca Finotello
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, Innsbruck, Austria
| | - Markus Ausserhofer
- Department of Molecular Biology, Digital Science Center (DiSC), University of Innsbruck, Innsbruck, Austria
| | - Diether Lambrechts
- Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | - Bram Boeckx
- Laboratory of Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, VIB, Leuven, Belgium
| | | | | | - Johan Kerkhofs
- Histocompatibility and Immunogenetics Laboratory, Belgian Red Cross-Flanders, Mechelen, Belgium
| | - Jessica Zucman-Rossi
- Inserm, UMRS-1138, Génomique fonctionnelle des tumeurs solides, Centre de recherche des Cordeliers, Paris, France
| | - Maarten Albersen
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | | | - Benoit Beuselinck
- Laboratory of Experimental Oncology, KU Leuven, Leuven, Belgium.
- Department of General Medical Oncology, University Hospitals Leuven, Leuven Cancer Institute, Leuven, Belgium.
| | - Abhishek D Garg
- Laboratory of Cell Stress and Immunity (CSI), Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.
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Zhong Z, Deng W, Wu J, Shang H, Tong Y, He Y, Huang Q, Ba X, Chen Z, Tang K. Cell membrane coated nanoparticles as a biomimetic drug delivery platform for enhancing cancer immunotherapy. NANOSCALE 2024; 16:8708-8738. [PMID: 38634521 DOI: 10.1039/d4nr00284a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Cancer immunotherapy, a burgeoning modality for cancer treatment, operates by activating the autoimmune system to impede the growth of malignant cells. Although numerous immunotherapy strategies have been employed in clinical cancer therapy, the resistance of cancer cells to immunotherapeutic medications and other apprehensions impede the attainment of sustained advantages for most patients. Recent advancements in nanotechnology for drug delivery hold promise in augmenting the efficacy of immunotherapy. However, the efficacy is currently constrained by the inadequate specificity of delivery, low rate of response, and the intricate immunosuppressive tumor microenvironment. In this context, the investigation of cell membrane coated nanoparticles (CMNPs) has revealed their ability to perform targeted delivery, immune evasion, controlled release, and immunomodulation. By combining the advantageous features of natural cell membranes and nanoparticles, CMNPs have demonstrated their unique potential in the realm of cancer immunotherapy. This review aims to emphasize recent research progress and elucidate the underlying mechanisms of CMNPs as an innovative drug delivery platform for enhancing cancer immunotherapy. Additionally, it provides a comprehensive overview of the current immunotherapeutic strategies involving different cell membrane types of CMNPs, with the intention of further exploration and optimization.
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Affiliation(s)
- Zichen Zhong
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Wen Deng
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Jian Wu
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Haojie Shang
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Yonghua Tong
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Yu He
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Qiu Huang
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Xiaozhuo Ba
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Zhiqiang Chen
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
| | - Kun Tang
- Department of Urology, Tongji Hospital, Tongji medical college, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China.
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Che G, Yin J, Wang W, Luo Y, Chen Y, Yu X, Wang H, Liu X, Chen Z, Wang X, Chen Y, Wang X, Tang K, Tang J, Shao W, Wu C, Sheng J, Li Q, Liu J. Circumventing drug resistance in gastric cancer: A spatial multi-omics exploration of chemo and immuno-therapeutic response dynamics. Drug Resist Updat 2024; 74:101080. [PMID: 38579635 DOI: 10.1016/j.drup.2024.101080] [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: 12/07/2023] [Revised: 03/17/2024] [Accepted: 03/17/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Gastric Cancer (GC) characteristically exhibits heterogeneous responses to treatment, particularly in relation to immuno plus chemo therapy, necessitating a precision medicine approach. This study is centered around delineating the cellular and molecular underpinnings of drug resistance in this context. METHODS We undertook a comprehensive multi-omics exploration of postoperative tissues from GC patients undergoing the chemo and immuno-treatment regimen. Concurrently, an image deep learning model was developed to predict treatment responsiveness. RESULTS Our initial findings associate apical membrane cells with resistance to fluorouracil and oxaliplatin, critical constituents of the therapy. Further investigation into this cell population shed light on substantial interactions with resident macrophages, underscoring the role of intercellular communication in shaping treatment resistance. Subsequent ligand-receptor analysis unveiled specific molecular dialogues, most notably TGFB1-HSPB1 and LTF-S100A14, offering insights into potential signaling pathways implicated in resistance. Our SVM model, incorporating these multi-omics and spatial data, demonstrated significant predictive power, with AUC values of 0.93 and 0.84 in the exploration and validation cohorts respectively. Hence, our results underscore the utility of multi-omics and spatial data in modeling treatment response. CONCLUSION Our integrative approach, amalgamating mIHC assays, feature extraction, and machine learning, successfully unraveled the complex cellular interplay underlying drug resistance. This robust predictive model may serve as a valuable tool for personalizing therapeutic strategies and enhancing treatment outcomes in gastric cancer.
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Affiliation(s)
- Gang Che
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Jie Yin
- Department of Colorectal Medicine, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Wankun Wang
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Yandong Luo
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Yiran Chen
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Xiongfei Yu
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Haiyong Wang
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Xiaosun Liu
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Zhendong Chen
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Xing Wang
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Yu Chen
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Xujin Wang
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Kaicheng Tang
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China
| | - Jiao Tang
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics of (NUAA), Nanjing 211106, China
| | - Wei Shao
- College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics of (NUAA), Nanjing 211106, China
| | - Chao Wu
- Department of Medical Oncology, Senior Department of Oncology, Chinese PLA General Hospital, The Fifth Medical Center, Beijing 100853, China.
| | - Jianpeng Sheng
- Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China; Center for Intelligent Oncology Designated by State Ministry of Education, Chongqing University, Chongqing 400030, China; Chongqing Key Laboratory of Intelligent Oncology for Breast Cancer, Chongqing University Cancer Hospital and School of Medicine, Chongqing University, Chongqing 400030, China.
| | - Qing Li
- College of Bioengineering, Chongqing University, Chongqing 400030, China.
| | - Jian Liu
- Department of Surgical Oncology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310016, China.
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9
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Betancor YZ, Ferreiro-Pantín M, Anido-Herranz U, Fuentes-Losada M, León-Mateos L, García-Acuña SM, Vaamonde-Rodríguez V, García-Pinel B, Cebey-López V, Villaverde-Viaño R, Lombardía-Rodríguez H, Kotrulev M, Fernández-Díaz N, Gomez-Tourino I, Fernández-Baltar C, García-González J, Tubio JMC, López-López R, Ruiz-Bañobre J. A three-gene expression score for predicting clinical benefit to anti-PD-1 blockade in advanced renal cell carcinoma. Front Immunol 2024; 15:1374728. [PMID: 38660294 PMCID: PMC11039903 DOI: 10.3389/fimmu.2024.1374728] [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: 01/22/2024] [Accepted: 03/20/2024] [Indexed: 04/26/2024] Open
Abstract
In the advanced renal cell carcinoma (RCC) scenario, there are no consistent biomarkers to predict the clinical benefit patients derived from immune checkpoint blockade (ICB). Taking this into consideration, herein, we conducted a retrospective study in order to develop and validate a gene expression score for predicting clinical benefit to the anti-PD-1 antibody nivolumab in the context of patients diagnosed with advanced clear cell RCC enrolled in the CheckMate-009, CheckMate-010, and CheckMate-025 clinical trials. First, a three-gene expression score (3GES) with prognostic value for overall survival integrating HMGA1, NUP62, and ARHGAP42 transcripts was developed in a cohort of patients treated with nivolumab. Its prognostic value was then validated in the TCGA-KIRC cohort. Second, the predictive value for nivolumab was confirmed in a set of patients from the CheckMate-025 phase 3 clinical trial. Lastly, we explored the correlation of our 3GES with different clinical, molecular, and immune tumor characteristics. If the results of this study are definitively validated in other retrospective and large-scale, prospective studies, the 3GES will represent a valuable tool for guiding the design of ICB-based clinical trials in the aRCC scenario in the near future.
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Affiliation(s)
- Yoel Z. Betancor
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Miriam Ferreiro-Pantín
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Urbano Anido-Herranz
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Mar Fuentes-Losada
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Luis León-Mateos
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Silvia Margarita García-Acuña
- Department of Pathology, University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Vanessa Vaamonde-Rodríguez
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Beatriz García-Pinel
- Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Víctor Cebey-López
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Rosa Villaverde-Viaño
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Helena Lombardía-Rodríguez
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Martin Kotrulev
- Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Natalia Fernández-Díaz
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Iria Gomez-Tourino
- Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | | | - Jorge García-González
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Jose M. C. Tubio
- Centre for Research in Molecular Medicine and Chronic Diseases (CiMUS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Rafael López-López
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
| | - Juan Ruiz-Bañobre
- Translational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela, University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Department of Medical Oncology, University Clinical Hospital of Santiago de Compostela (SERGAS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Instituto de Salud Carlos III, Madrid, Spain
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10
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Qu H, Mao M, Wang K, Mu Z, Hu B. Knockdown of ADAM8 inhibits the proliferation, migration, invasion, and tumorigenesis of renal clear cell carcinoma cells to enhance the immunotherapy efficacy. Transl Res 2024; 266:32-48. [PMID: 37992987 DOI: 10.1016/j.trsl.2023.11.003] [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: 08/04/2023] [Accepted: 11/13/2023] [Indexed: 11/24/2023]
Abstract
The current study performed bioinformatics and in vitro and in vivo experiments to explore the effects of ADAM8 on the malignant behaviors and immunotherapeutic efficacy of renal clear cell carcinoma (ccRCC) Cells. The modular genes most associated with immune cells were screened. Then, prognostic risk models were constructed by univariate COX analysis, LASSO regression analysis and multivariate COX analysis, and their diagnostic value was determined. The correlation between tumor mutation load (TMB) scores and the prognosis of ccRCC patients was clarified. Finally, six key genes (ABI3, ADAM8, APOL3, MX2, CCDC69, and STAC3) were analyzed for immunotherapy efficacy. Human and mouse ccRCC cell lines and human proximal tubular epithelial cell lines were used for in vitro cell experiments. The effect of ADAM8 overexpression or knockdown on tumor formation and survival in ccRCC cells was examined by constructing subcutaneous transplanted tumor model. Totally, 636 Black module genes were screened as being most associated with immune cell infiltration. Six genes were subsequently confirmed for the construction of prognostic risk models, of which ABI3, APOL3 and CCDC69 were low-risk factors, while ADAM8, MX2 and STAC3 were high-risk factors. The constructed risk model based on the identified six genes could accurately predict the prognosis of ccRCC patients. Besides, TMB was significantly associated with the prognosis of ccRCC patients. Furthermore, ABI3, ADAM8, APOL3, MX2, CCDC69 and STAC3 might play important roles in treatment concerning CTLA4 inhibitors or PD-1 inhibitors or combined inhibitors. Finally, we confirmed that ADAM8 could promote the proliferation, migration and invasion of ccRCC cells through in vitro experiments, and further found that in in vivo experiments, ADAM8 knockdown could inhibit tumor formation in ccRCC cells, improve the therapeutic effect of anti-PD1, and prolong the survival of mice. Our study highlighted the alleviative role of silencing ADAM8 in ccRCC patients.
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Affiliation(s)
- Hongchen Qu
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China
| | - Minghuan Mao
- Department of Urological Surgery, Fourth affiliated Hospital of China Medical University, Shenyang 110000, PR China
| | - Kai Wang
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China
| | - Zhongyi Mu
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China
| | - Bin Hu
- Department of Urological Surgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, No.44 Xiaoheyan Road, Dadong District, Shenyang, Liaoning Province 110042, PR China.
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11
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Kim HD, Jung S, Lim HY, Ryoo BY, Ryu MH, Chuah S, Chon HJ, Kang B, Hong JY, Lee HC, Moon DB, Kim KH, Kim TW, Tai D, Chew V, Lee JS, Finn RS, Koh JY, Yoo C. Regorafenib plus nivolumab in unresectable hepatocellular carcinoma: the phase 2 RENOBATE trial. Nat Med 2024; 30:699-707. [PMID: 38374347 PMCID: PMC10957471 DOI: 10.1038/s41591-024-02824-y] [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: 06/27/2023] [Accepted: 01/21/2024] [Indexed: 02/21/2024]
Abstract
Regorafenib has anti-tumor activity in patients with unresectable hepatocellular carcinoma (uHCC) with potential immunomodulatory effects, suggesting that its combination with immune checkpoint inhibitor may have clinically meaningful benefits in patients with uHCC. The multicenter, single-arm, phase 2 RENOBATE trial tested regorafenib-nivolumab as front-line treatment for uHCC. Forty-two patients received nivolumab 480 mg every 4 weeks and regorafenib 80 mg daily (3-weeks-on/1-week-off schedule). The primary endpoint was the investigator-assessed objective response rate (ORR) per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. The secondary endpoints included safety, progression-free survival (PFS) and overall survival (OS). ORR per RECIST version 1.1 was 31.0%, meeting the primary endpoint. The most common adverse events were palmar-plantar erythrodysesthesia syndrome (38.1%), alopecia (26.2%) and skin rash (23.8%). Median PFS was 7.38 months. The 1-year OS rate was 80.5%, and the median OS was not reached. Exploratory single-cell RNA sequencing analyses of peripheral blood mononuclear cells showed that long-term responders exhibited T cell receptor repertoire diversification, enrichment of genes representing immunotherapy responsiveness in MKI67+ proliferating CD8+ T cells and a higher probability of M1-directed monocyte polarization. Our data support further clinical development of the regorafenib-nivolumab combination as front-line treatment for uHCC and provide preliminary insights on immune biomarkers of response. ClinicalTrials.gov identifier: NCT04310709 .
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Affiliation(s)
- Hyung-Don Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Seyoung Jung
- Genome Insight, Inc., San Diego, La Jolla, CA, USA
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Ho Yeong Lim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Baek-Yeol Ryoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Min-Hee Ryu
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Samuel Chuah
- Translational Immunology Institute, SingHealth-Duke-NUS Academic Medical Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Hong Jae Chon
- Department of Medical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Beodeul Kang
- Department of Medical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Jung Yong Hong
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Han Chu Lee
- Department of Gastroenterology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Deok-Bog Moon
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Ki-Hun Kim
- Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Tae Won Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - David Tai
- Division of Medical Oncology, National Cancer Centre, Singapore, Singapore
| | - Valerie Chew
- Translational Immunology Institute, SingHealth-Duke-NUS Academic Medical Centre, Duke-NUS Medical School, Singapore, Singapore
| | - Jeong Seok Lee
- Genome Insight, Inc., San Diego, La Jolla, CA, USA
- Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Richard S Finn
- Division of Hematology-Oncology, Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | | - Changhoon Yoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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12
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Chen X, Xu Z, Wu C, Xie L, Wang P, Liu X. Efficacy and toxicity of immune checkpoint inhibitors combination therapy for advanced renal cell carcinoma: a systematic review and network meta-analysis. Front Immunol 2024; 15:1255577. [PMID: 38390328 PMCID: PMC10881808 DOI: 10.3389/fimmu.2024.1255577] [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: 07/09/2023] [Accepted: 01/25/2024] [Indexed: 02/24/2024] Open
Abstract
Background Although immune checkpoint inhibitors (ICIs) show a significant overall survival advantage over standard advanced renal cell carcinoma (aRCC) therapies, tumor response to these agents remains poor. Some studies have shown that combination therapy including an ICI appears to be the best treatment; however, the overall benefit in terms of efficacy and toxicity still needs to be assessed. Thus, we performed a network meta-analysis to evaluate the differences in the efficacy of several combinations that include an ICI to provide a basis for clinical treatment selection. Methods We conducted a thorough search of PubMed, EMBASE, and the Cochrane Library for articles from January 2010 to June 2023. R 4.4.2 and STATA 16.0 were used to analyze data; hazard ratio (HR) and odds ratio (OR) with 95% confidence intervals (CI) were used to assess the results. Results An indirect comparison showed that nivolumab plus cabozantinib and pembrolizumab plus lenvatinib were the most effective treatments for progression-free survival (PFS), with no significant differences between the two interventions (HR, 1.31; 95% CI, 0.96-1.78; P=0.08); rank probability showed that pembrolizumab plus lenvatinib had a 57.1% chance of being the preferred treatment. In the absence of indirect comparisons between pembrolizumab plus axitinib, nivolumab plus ipilimumab, avelumab plus axitinib, nivolumab plus cabozantinib, and pembrolizumab plus lenvatinib, pembrolizumab plus axitinib (40.2%) was the best treatment option for overall survival (OS). Compared to pembrolizumab plus lenvatinib, nivolumab plus ipilimumab (OR, 0.07; 95% CI, 0.01-0.65; P=0.02) and pembrolizumab plus axitinib (OR, 0.05; 95% CI, 0.00-0.78; P<0.001) had a lower incidence of overall adverse events (AEs). Conclusion Pembrolizumab plus lenvatinib and pembrolizumab plus axitinib resulted in the highest PFS and OS rates, respectively. Pembrolizumab plus axitinib may be the best option when AEs are a concern. Systematic review registration https://inplasy.com/, identifier INPLASY202410078.
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Affiliation(s)
| | | | | | | | | | - Xiaoqiang Liu
- Department of Urology, Tianjin Medical University General Hospital, Tianjin, China
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13
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Qiu Y, Liu L, Jiang W, Xu Z, Wang J, Dai S, Guo J, Xu J. NKG2A +CD8 + T cells infiltration determines immunosuppressive contexture and inferior response to immunotherapy in clear cell renal cell carcinoma. J Immunother Cancer 2024; 12:e008368. [PMID: 38262706 PMCID: PMC10824007 DOI: 10.1136/jitc-2023-008368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/09/2024] [Indexed: 01/25/2024] Open
Abstract
BACKGROUND Immunotherapy is gaining momentum, but current treatments have limitations in terms of beneficiaries. Clear cell renal cell carcinoma (ccRCC) harbors the highest expression of human leukocyte antigen E (HLA-E), ligand of NKG2A, among all solid tumors. In this study, we aim to investigate the role of NKG2A+CD8+ T cells in tumor microenvironment and its potential as a novel target in ccRCC. METHODS This study included four independent cohorts, including 234 patients from Zhongshan cohort (ZSHC) who underwent partial or radical nephrectomy at Zhongshan Hospital, and 117 metastatic patients from metastatic Zhongshan cohort (ZSHC-metastatic renal cell carcinoma) who were treated with immune checkpoint inhibitor or tyrosine kinase inhibitor alone. We also incorporated a cohort of 530 patients diagnosed with ccRCC from The Cancer Genome Atlas (referred to as TCGA-kidney renal clear cell carcinoma) and 311 patients from CheckMate cohort for bioinformatics exploration and hypothesis validation. Fresh surgical specimens from 15 patients who underwent ccRCC surgery at Zhongshan Hospital were collected for flow cytometry analysis. Another 10 fresh surgical specimens were used to investigate the therapeutic potential of NKG2A blockade after in vitro intervention. The infiltration of NKG2A+CD8+ T cells was assessed using immunohistochemical staining, flow cytometry, and immunofluorescence staining in ZSHC cohort. RESULTS Patients with higher infiltration of NKG2A+CD8+ T cells in ccRCC exhibited shorter overall survival and resistance to immunotherapy. NKG2A+CD8+ T cells expressed upregulated checkpoint molecules and displayed impaired effector functions, along with tissue-residency characteristics. Combination of programmed cell death protein-1 (PD-1) blockade and NKG2A blockade demonstrated an enhanced capability in reactivating CD8+ T cells effector functions. CONCLUSION Intense infiltration of NKG2A+CD8+ T cells were associated with poorer prognosis and response to immunotherapy. NKG2A blockade combined with current immunotherapy exhibited a robust ability to reactivate CD8+ T cells effector functions.
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Affiliation(s)
- Youqi Qiu
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Li Liu
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenbin Jiang
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ziyang Xu
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiahao Wang
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Siyuan Dai
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianming Guo
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiejie Xu
- NHC Key Laboratory of Glycoconjugate Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, China
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14
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Lu JC, Wu LL, Sun YN, Huang XY, Gao C, Guo XJ, Zeng HY, Qu XD, Chen Y, Wu D, Pei YZ, Meng XL, Zheng YM, Liang C, Zhang PF, Cai JB, Ding ZB, Yang GH, Ren N, Huang C, Wang XY, Gao Q, Sun QM, Shi YH, Qiu SJ, Ke AW, Shi GM, Zhou J, Sun YD, Fan J. Macro CD5L + deteriorates CD8 +T cells exhaustion and impairs combination of Gemcitabine-Oxaliplatin-Lenvatinib-anti-PD1 therapy in intrahepatic cholangiocarcinoma. Nat Commun 2024; 15:621. [PMID: 38245530 PMCID: PMC10799889 DOI: 10.1038/s41467-024-44795-1] [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: 08/08/2022] [Accepted: 01/04/2024] [Indexed: 01/22/2024] Open
Abstract
Intratumoral immune status influences tumor therapeutic response, but it remains largely unclear how the status determines therapies for patients with intrahepatic cholangiocarcinoma. Here, we examine the single-cell transcriptional and TCR profiles of 18 tumor tissues pre- and post- therapy of gemcitabine plus oxaliplatin, in combination with lenvatinib and anti-PD1 antibody for intrahepatic cholangiocarcinoma. We find that high CD8 GZMB+ and CD8 proliferating proportions and a low Macro CD5L+ proportion predict good response to the therapy. In patients with a poor response, the CD8 GZMB+ and CD8 proliferating proportions are increased, but the CD8 GZMK+ proportion is decreased after the therapy. Transition of CD8 proliferating and CD8 GZMB+ to CD8 GZMK+ facilitates good response to the therapy, while Macro CD5L+-CD8 GZMB+ crosstalk impairs the response by increasing CTLA4 in CD8 GZMB+. Anti-CTLA4 antibody reverses resistance of the therapy in intrahepatic cholangiocarcinoma. Our data provide a resource for predicting response of the combination therapy and highlight the importance of CD8+T-cell status conversion and exhaustion induced by Macro CD5L+ in influencing the response, suggesting future avenues for cancer treatment optimization.
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Affiliation(s)
- Jia-Cheng Lu
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Lei-Lei Wu
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yi-Ning Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xiao-Yong Huang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Chao Gao
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Xiao-Jun Guo
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Hai-Ying Zeng
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xu-Dong Qu
- Department of Intervention Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi Chen
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Dong Wu
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Yan-Zi Pei
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Xian-Long Meng
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Yi-Min Zheng
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Chen Liang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Peng-Fei Zhang
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Jia-Bin Cai
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Zhen-Bin Ding
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Guo-Huan Yang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Ning Ren
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Cheng Huang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Xiao-Ying Wang
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Qiang Gao
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Qi-Man Sun
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Ying-Hong Shi
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Shuang-Jian Qiu
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
| | - Ai-Wu Ke
- Liver cancer Institute, Fudan University, Shanghai, 200032, China
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China
| | - Guo-Ming Shi
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Clinical Research Unit, Institute of Clinical Science, Zhongshan Hospital of Fudan University, 200032, Shanghai, China.
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Liver cancer Institute, Fudan University, Shanghai, 200032, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China.
| | - Yi-Di Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Liver cancer Institute, Fudan University, Shanghai, 200032, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education of the People's Republic of China, Shanghai, 200032, China.
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15
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Singla N, Nirschl TR, Obradovic AZ, Shenderov E, Lombardo K, Liu X, Pons A, Zarif JC, Rowe SP, Trock BJ, Hammers HJ, Bivalacqua TJ, Pierorazio PM, Deutsch JS, Lotan TL, Taube JM, Ged YMA, Gorin MA, Allaf ME, Drake CG. Immunomodulatory response to neoadjuvant nivolumab in non-metastatic clear cell renal cell carcinoma. Sci Rep 2024; 14:1458. [PMID: 38228729 PMCID: PMC10792074 DOI: 10.1038/s41598-024-51889-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/10/2024] [Indexed: 01/18/2024] Open
Abstract
Novel perioperative strategies are needed to reduce recurrence rates in patients undergoing nephrectomy for high-risk, non-metastatic clear cell renal cell carcinoma (ccRCC). We conducted a prospective, phase I trial of neoadjuvant nivolumab prior to nephrectomy in 15 evaluable patients with non-metastatic ccRCC. We leveraged tissue from that cohort to elucidate the effects of PD-1 inhibition on immune cell populations in ccRCC and correlate the evolving immune milieu with anti-PD-1 response. We found that nivolumab durably induces a pro-inflammatory state within the primary tumor, and baseline immune infiltration within the primary tumor correlates with nivolumab responsiveness. Nivolumab increases CTLA-4 expression in the primary tumor, and subsequent nephrectomy increases circulating concentrations of sPD-L1, sPD-L3 (sB7-H3), and s4-1BB. These findings form the basis to consider neoadjuvant immune checkpoint inhibition (ICI) for high-risk ccRCC while the tumor remains in situ and provide the rationale for perioperative strategies of novel ICI combinations.
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Affiliation(s)
- Nirmish Singla
- Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Park 213, Baltimore, MD, 21287, USA.
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA.
| | - Thomas R Nirschl
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
- Pathobiology Graduate Program, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Eugene Shenderov
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | - Kara Lombardo
- Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Park 213, Baltimore, MD, 21287, USA
| | - Xiaopu Liu
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | - Alice Pons
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | - Jelani C Zarif
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
- Bloomberg~Kimmel Institute for Cancer Immunotherapy, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Steven P Rowe
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Bruce J Trock
- Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Park 213, Baltimore, MD, 21287, USA
| | - Hans J Hammers
- Division of Hematology/Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Trinity J Bivalacqua
- Division of Urology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Phillip M Pierorazio
- Division of Urology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Julie S Deutsch
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tamara L Lotan
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Janis M Taube
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yasser M A Ged
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | - Michael A Gorin
- Milton and Carroll Petrie Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mohamad E Allaf
- Department of Urology, James Buchanan Brady Urological Institute, Johns Hopkins University School of Medicine, 600 North Wolfe Street, Park 213, Baltimore, MD, 21287, USA
- Department of Oncology, Johns Hopkins University School of Medicine and the Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
| | - Charles G Drake
- Immuno-Oncology, The Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan, NJ, USA
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16
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Lu L, Lei Y, Li Y, Wang L. LRP6 is a potential biomarker of kidney clear cell carcinoma related to prognosis and immune infiltration. Aging (Albany NY) 2024; 16:1484-1495. [PMID: 38226972 PMCID: PMC10866424 DOI: 10.18632/aging.205440] [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: 10/09/2023] [Accepted: 12/07/2023] [Indexed: 01/17/2024]
Abstract
Renal cell carcinoma is the most common and most lethal genitourinary tumor. The causes of renal clear cell carcinoma are complex and the heterogeneity of the tumor tissue is high, so patient outcomes are not very satisfactory. Exploring biomarkers in the progression of renal clear cell carcinoma is crucial to improve the diagnosis and guide the treatment of renal clear cell carcinoma. LRP6 is a co-receptor of the Wnt/β-catenin signaling pathway, which is involved in cell growth, inflammation and cell transformation through activation of the Wnt/β-catenin signaling pathway. Abnormal expression of LRP6 is associated with the malignant phenotype, metastatic potential and poor prognosis of various tumors. In this study, we found that LRP6 was abnormally highly expressed in a variety of tumors and significantly correlated with microsatellite instability, tumor mutation burden, and immune cell infiltration and immune checkpoint expression in a variety of tumors. Moreover, we found that LRP6 was significantly associated with the prognosis of renal clear cell carcinoma. Further we found a significant correlation between LRP6 and the expression of m6A-related genes and ferroptosis-related genes. Finally, we also found a significant correlation between the expression of LRP6 and the sensitivity to common drugs used in kidney clear cell carcinoma treatment. These results suggest that LRP6 is likely to be a potential target for kidney clear cell carcinoma treatment.
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Affiliation(s)
- Liqun Lu
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yan Lei
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Yanling Li
- Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China
| | - Lujuan Wang
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
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17
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Zeng K, Li Q, Wang X, Liu C, Chen B, Song G, Li B, Liu B, Gao X, Zhang L, Miao J. STX4 as a potential biomarker for predicting prognosis and guiding clinical treatment decisions in clear cell renal cell carcinoma. Heliyon 2024; 10:e23918. [PMID: 38226288 PMCID: PMC10788513 DOI: 10.1016/j.heliyon.2023.e23918] [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: 07/22/2023] [Revised: 12/10/2023] [Accepted: 12/15/2023] [Indexed: 01/17/2024] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) represents a frequent subtype of kidney cancer, with the prognosis remaining poor for individuals with metastatic disease. Given its resistance to both radiation and chemotherapy, targeted therapies and immunotherapies have emerged as critical for effective ccRCC treatment. Within this context, the SNARE protein STX4, which is associated with malignant cancer cell migration, provides a promising focus. The underlying mechanism, however, requires further illumination. Furthermore, the influence of STX4 on the ccRCC tumor microenvironment remains to be determined. In our research, we utilized multiple databases and immunohistochemical staining to confirm differential STX4 expression and its prognostic implications. We evaluated the potential tumor-promoting function of STX4 in ccRCC cell lines through molecular studies. Additionally, we conducted functional enrichment analysis to delve deeper into the underlying mechanisms and performed immune infiltration and drug sensitivity analyses to assess the potential of STX4 as a prognostic biomarker and therapeutic target. Our study reveals that STX4 contributes to cancer progression by enhancing AKT expression and stimulating the activation of VEGF signaling pathways. Additionally, STX4 further fosters CD8+ T-cell infiltration and diminishes the percentage of CAFs and M2-TAMs. Our findings suggest that patients presenting higher STX4 levels may exhibit enhanced responsiveness to immunotherapy and higher sensitivity to the medications axitinib and everolimus. Finally, we propose STX4 expression assessment as a novel approach to predict patient response to respective immunotherapies and targeted treatments, hence potentially improving patient outcomes.
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Affiliation(s)
- Kai Zeng
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Department of Urology, the First Affiliated Hospital of Shihezi University, Shihezi 832008, Xinjiang, China
| | - Qinyu Li
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xi Wang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Chaofan Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Bingliang Chen
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Guoda Song
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Beining Li
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Bo Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xintao Gao
- Department of Urology, Sir RunRun Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Linli Zhang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jianping Miao
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
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18
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Ma F, Wang S, Xu L, Huang W, Shi G, Sun Z, Cai W, Wu Z, Huang Y, Meng J, Sun Y, Fang M, Cheng M, Ji Y, Hu T, Zhang Y, Gu B, Zhang J, Song S, Sun Y, Yan W. Single-cell profiling of the microenvironment in human bone metastatic renal cell carcinoma. Commun Biol 2024; 7:91. [PMID: 38216635 PMCID: PMC10786927 DOI: 10.1038/s42003-024-05772-y] [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: 12/10/2022] [Accepted: 01/03/2024] [Indexed: 01/14/2024] Open
Abstract
Bone metastasis is of common occurrence in renal cell carcinoma with poor prognosis, but no optimal treatment approach has been established for bone metastatic renal cell carcinoma. To explore the potential therapeutic targets for bone metastatic renal cell carcinoma, we profile single cell transcriptomes of 6 primary renal cell carcinoma and 9 bone metastatic renal cell carcinoma. We also include scRNA-seq data of early-stage renal cell carcinoma, late-stage renal cell carcinoma, normal kidneys and healthy bone marrow samples in the study to better understand the bone metastasis niche. The molecular properties and dynamic changes of major cell lineages in bone metastatic environment of renal cell carcinoma are characterized. Bone metastatic renal cell carcinoma is associated with multifaceted immune deficiency together with cancer-associated fibroblasts, specifically appearance of macrophages exhibiting malignant and pro-angiogenic features. We also reveal the dominance of immune inhibitory T cells in the bone metastatic renal cell carcinoma which can be partially restored by the treatment. Trajectory analysis showes that myeloid-derived suppressor cells are progenitors of macrophages in the bone metastatic renal cell carcinoma while monocytes are their progenitors in primary tumors and healthy bone marrows. Additionally, the infiltration of immune inhibitory CD47+ T cells is observed in bone metastatic tumors, which may be a result of reduced phagocytosis by SIRPA-expressing macrophages in the bone microenvironment. Together, our results provide a systematic view of various cell types in bone metastatic renal cell carcinoma and suggest avenues for therapeutic solutions.
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Affiliation(s)
- Fen Ma
- Shanghai Key Laboratory of Compound Chinese Medicines, The MOE Key Laboratory for Standardization of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, 201203, Shanghai, China
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, China
| | - Shuoer Wang
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Lun Xu
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Wending Huang
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Guohai Shi
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
- Department of Urology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
| | - Zhengwang Sun
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Weiluo Cai
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Zhiqiang Wu
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Yiming Huang
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, China
| | - Juan Meng
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, China
| | - Yining Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, China
| | - Meng Fang
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Mo Cheng
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Yingzheng Ji
- Department of Orthopedic, Naval Medical Center of PLA, Second Military Medical University, 338 Huaihai West Road, Shanghai, China
| | - Tu Hu
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Yunkui Zhang
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
- Department of Anesthesiology, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
| | - Bingxin Gu
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China
| | - Jiwei Zhang
- Shanghai Key Laboratory of Compound Chinese Medicines, The MOE Key Laboratory for Standardization of Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, 201203, Shanghai, China.
| | - Shaoli Song
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China.
| | - Yidi Sun
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai, China.
| | - Wangjun Yan
- Department of Musculoskeletal Surgery, Fudan University Shanghai Cancer Center, 270 Dong'an Road, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, 138 Medical College Road, Shanghai, China.
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19
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Liu X, Yi J, Li T, Wen J, Huang K, Liu J, Wang G, Kim P, Song Q, Zhou X. DRMref: comprehensive reference map of drug resistance mechanisms in human cancer. Nucleic Acids Res 2024; 52:D1253-D1264. [PMID: 37986230 PMCID: PMC10767840 DOI: 10.1093/nar/gkad1087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/18/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023] Open
Abstract
Drug resistance poses a significant challenge in cancer treatment. Despite the initial effectiveness of therapies such as chemotherapy, targeted therapy and immunotherapy, many patients eventually develop resistance. To gain deep insights into the underlying mechanisms, single-cell profiling has been performed to interrogate drug resistance at cell level. Herein, we have built the DRMref database (https://ccsm.uth.edu/DRMref/) to provide comprehensive characterization of drug resistance using single-cell data from drug treatment settings. The current version of DRMref includes 42 single-cell datasets from 30 studies, covering 382 samples, 13 major cancer types, 26 cancer subtypes, 35 treatment regimens and 42 drugs. All datasets in DRMref are browsable and searchable, with detailed annotations provided. Meanwhile, DRMref includes analyses of cellular composition, intratumoral heterogeneity, epithelial-mesenchymal transition, cell-cell interaction and differentially expressed genes in resistant cells. Notably, DRMref investigates the drug resistance mechanisms (e.g. Aberration of Drug's Therapeutic Target, Drug Inactivation by Structure Modification, etc.) in resistant cells. Additional enrichment analysis of hallmark/KEGG (Kyoto Encyclopedia of Genes and Genomes)/GO (Gene Ontology) pathways, as well as the identification of microRNA, motif and transcription factors involved in resistant cells, is provided in DRMref for user's exploration. Overall, DRMref serves as a unique single-cell-based resource for studying drug resistance, drug combination therapy and discovering novel drug targets.
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Affiliation(s)
- Xiaona Liu
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jiahao Yi
- Bioinformatics and Biomedical Big Data Mining Laboratory, Department of Medical Informatics, School of Big Health, Guizhou Medical University, Guiyang 550025, China
| | - Tina Li
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jianguo Wen
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Kexin Huang
- West China Biomedical Big Data Centre, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Jiajia Liu
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Grant Wang
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Pora Kim
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Qianqian Song
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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20
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Yang Q, Ye F, Li L, Chu J, Tian Y, Cao J, Gan S, Jiang A. Integration analysis of PLAUR as a sunitinib resistance and macrophage related biomarker in ccRCC, an in silicon and experimental study. J Biomol Struct Dyn 2024:1-18. [PMID: 38173169 DOI: 10.1080/07391102.2023.2300754] [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: 09/08/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
Sunitinib remains the preferred systemic treatment option for specific patients with advanced RCC who are ineligible for immune therapy. However, it's essential to recognize that Sunitinib fails to elicit a favourable response in all patients. Moreover, most patients eventually develop resistance to Sunitinib. Therefore, identifying new targets associated with Sunitinib resistance is crucial. Utilizing multiple datasets from public cohorts, we conducted an exhaustive analysis and identified a total of 8 microRNAs and 112 mRNAs displaying significant expression differences between Sunitinib responsive and resistant groups. A particular set of six genes, specifically NIPSNAP1, STK40, SDC4, NEU1, TBC1D9, and PLAUR, were identified as highly significant via WGCNA. To delve deeper into the resistance mechanisms, we performed additional investigations using cell, molecular, and flow cytometry tests. These studies confirmed PLAUR's pivotal role in fostering Sunitinib resistance, both in vitro and in vivo. Our findings suggest that PLAUR could be a promising therapeutic target across various cancer types. In conclusion, this investigation not only uncovers vital genes and microRNAs associated with Sunitinib resistance in RCC but also introduces PLAUR as a prospective therapeutic target for diverse cancers. The outcomes contribute to advancing personalized healthcare and developing superior therapeutic strategies.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Qiwei Yang
- Department of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
| | - Fangdie Ye
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Lin Li
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
| | - Jian Chu
- Department of Urology, The Luodian Hospital in Baoshan District of Shanghai, China
| | - Yijun Tian
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
- Department of Urology, The Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianwei Cao
- Department of Urology, The Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sishun Gan
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
- Department of Urology, The Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aimin Jiang
- Department of Urology, Changhai Hospital of Naval Military Medical University, Shanghai, China
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21
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Nenclares P, Larkeryd A, Manodoro F, Lee JY, Lalondrelle S, Gilbert DC, Punta M, O’Leary B, Rullan A, Sadanandam A, Chain B, Melcher A, Harrington KJ, Bhide SA. T-cell receptor determinants of response to chemoradiation in locally-advanced HPV16-driven malignancies. Front Oncol 2024; 13:1296948. [PMID: 38234396 PMCID: PMC10791873 DOI: 10.3389/fonc.2023.1296948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/28/2023] [Indexed: 01/19/2024] Open
Abstract
Background The effect of chemoradiation on the anti-cancer immune response is being increasingly acknowledged; however, its clinical implications in treatment responses are yet to be fully understood. Human papillomavirus (HPV)-driven malignancies express viral oncogenic proteins which may serve as tumor-specific antigens and represent ideal candidates for monitoring the peripheral T-cell receptor (TCR) changes secondary to chemoradiotherapy (CRT). Methods We performed intra-tumoral and pre- and post-treatment peripheral TCR sequencing in a cohort of patients with locally-advanced HPV16-positive cancers treated with CRT. An in silico computational pipeline was used to cluster TCR repertoire based on epitope-specificity and to predict affinity between these clusters and HPV16-derived epitopes. Results Intra-tumoral repertoire diversity, intra-tumoral and post-treatment peripheral CDR3β similarity clustering were predictive of response. In responders, CRT triggered an increase peripheral TCR clonality and clonal relatedness. Post-treatment expansion of baseline peripheral dominant TCRs was associated with response. Responders showed more baseline clustered structures of TCRs maintained post-treatment and displayed significantly more maintained clustered structures. When applying clustering by TCR-specificity methods, responders displayed a higher proportion of intra-tumoral TCRs predicted to recognise HPV16 peptides. Conclusions Baseline TCR characteristics and changes in the peripheral T-cell clones triggered by CRT are associated with treatment outcome. Maintenance and boosting of pre-existing clonotypes are key elements of an effective anti-cancer immune response driven by CRT, supporting a paradigm in which the immune system plays a central role in the success of CRT in current standard-of-care protocols.
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Affiliation(s)
- Pablo Nenclares
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
- Head and Neck Unit, The Royal Marsden Hospital, London, United Kingdom
| | - Adrian Larkeryd
- Bioinformatics Unit, The Centre for Translational Immunotherapy, The Institute of Cancer Research, London, United Kingdom
| | - Floriana Manodoro
- Genomics Facility, The Institute of Cancer Research, London, United Kingdom
| | - Jen Y. Lee
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
| | - Susan Lalondrelle
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
| | - Duncan C. Gilbert
- Sussex Cancer Centre, University Hospitals Sussex NHS Foundation Trust, Brighton, United Kingdom
| | - Marco Punta
- Unit of Immunogenetic, Leukemia Genomics and Immunobiology, IRCCS Ospedale San Raffaele, Milan, Italy
| | - Ben O’Leary
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
- Head and Neck Unit, The Royal Marsden Hospital, London, United Kingdom
| | - Antonio Rullan
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
- Head and Neck Unit, The Royal Marsden Hospital, London, United Kingdom
| | - Anguraj Sadanandam
- Systems and Precision Cancer Medicine Team, The Institute of Cancer Research, London, United Kingdom
| | - Benny Chain
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Alan Melcher
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
| | - Kevin J. Harrington
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
- Head and Neck Unit, The Royal Marsden Hospital, London, United Kingdom
| | - Shreerang A. Bhide
- Radiotherapy and Imaging Division, The Institute of Cancer Research, London, United Kingdom
- Head and Neck Unit, The Royal Marsden Hospital, London, United Kingdom
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22
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Saliby RM, Saad E, Kashima S, Schoenfeld DA, Braun DA. Update on Biomarkers in Renal Cell Carcinoma. Am Soc Clin Oncol Educ Book 2024; 44:e430734. [PMID: 38207251 DOI: 10.1200/edbk_430734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
Immune checkpoint inhibitors have significantly transformed the treatment paradigm for metastatic renal cell carcinoma (RCC), offering prolonged overall survival and achieving remarkable deep and durable responses. However, given the multiple ICI-containing, standard-of-care regimens approved for RCC, identifying biomarkers that predict therapeutic response and resistance is of critical importance. Although tumor-intrinsic features such as pathological characteristics, genomic alterations, and transcriptional signatures have been extensively investigated, they have yet to provide definitive, robust predictive biomarkers. Current research is exploring host factors through in-depth characterization of the immune system. Additionally, innovative technological approaches are being developed to overcome challenges presented by existing techniques, such as tumor heterogeneity. Promising avenues in biomarker discovery include the study of the microbiome, radiomics, and spatial transcriptomics.
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Affiliation(s)
- Renée M Saliby
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
- Yale Center of Cellular and Molecular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
| | - Eddy Saad
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | - Soki Kashima
- Yale Center of Cellular and Molecular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
| | - David A Schoenfeld
- Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
| | - David A Braun
- Yale Center of Cellular and Molecular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
- Section of Medical Oncology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT
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23
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Meng L, Collier KA, Wang P, Li Z, Monk P, Mortazavi A, Hu Z, Spakowicz D, Zheng L, Yang Y. Emerging Immunotherapy Approaches for Advanced Clear Cell Renal Cell Carcinoma. Cells 2023; 13:34. [PMID: 38201238 PMCID: PMC10777977 DOI: 10.3390/cells13010034] [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: 11/10/2023] [Revised: 12/16/2023] [Accepted: 12/20/2023] [Indexed: 01/12/2024] Open
Abstract
The most common subtype of renal cell carcinoma is clear cell renal cell carcinoma (ccRCC). While localized ccRCC can be cured with surgery, metastatic disease has a poor prognosis. Recently, immunotherapy has emerged as a promising approach for advanced ccRCC. This review provides a comprehensive overview of the evolving immunotherapeutic landscape for metastatic ccRCC. Immune checkpoint inhibitors (ICIs) like PD-1/PD-L1 and CTLA-4 inhibitors have demonstrated clinical efficacy as monotherapies and in combination regimens. Combination immunotherapies pairing ICIs with antiangiogenic agents, other immunomodulators, or novel therapeutic platforms such as bispecific antibodies and chimeric antigen receptor (CAR) T-cell therapy are areas of active research. Beyond the checkpoint blockade, additional modalities including therapeutic vaccines, cytokines, and oncolytic viruses are also being explored for ccRCC. This review discusses the mechanisms, major clinical trials, challenges, and future directions for these emerging immunotherapies. While current strategies have shown promise in improving patient outcomes, continued research is critical for expanding and optimizing immunotherapy approaches for advanced ccRCC. Realizing the full potential of immunotherapy will require elucidating mechanisms of response and resistance, developing predictive biomarkers, and rationally designing combination therapeutic regimens tailored to individual patients. Advances in immunotherapy carry immense promise for transforming the management of metastatic ccRCC.
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Affiliation(s)
- Lingbin Meng
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
| | - Katharine A. Collier
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
| | - Peng Wang
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
| | - Zihai Li
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Paul Monk
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
| | - Amir Mortazavi
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
| | - Zhiwei Hu
- Division of Surgical Oncology, Department of Surgery, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA;
| | - Daniel Spakowicz
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Linghua Zheng
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
| | - Yuanquan Yang
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA; (K.A.C.); (P.W.); (Z.L.); (P.M.); (A.M.); (D.S.); (L.Z.)
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24
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Walsh LA, Quail DF. Decoding the tumor microenvironment with spatial technologies. Nat Immunol 2023; 24:1982-1993. [PMID: 38012408 DOI: 10.1038/s41590-023-01678-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/10/2023] [Indexed: 11/29/2023]
Abstract
Visualization of the cellular heterogeneity and spatial architecture of the tumor microenvironment (TME) is becoming increasingly important to understand mechanisms of disease progression and therapeutic response. This is particularly relevant in the era of cancer immunotherapy, in which the contexture of immune cell positioning within the tumor landscape has been proven to affect efficacy. Although single-cell technologies have mostly replaced conventional approaches to analyze specific cellular subsets within tumors, those that integrate a spatial dimension are now on the rise. In this Review, we assess the strengths and limitations of emerging spatial technologies with a focus on their applications in tumor immunology, as well as forthcoming opportunities for artificial intelligence (AI) and the value of integrating multiomics datasets to achieve a holistic picture of the TME.
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Affiliation(s)
- Logan A Walsh
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada.
- Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
| | - Daniela F Quail
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Quebec, Canada.
- Department of Physiology, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
- Department of Medicine, Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada.
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25
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Vos JL, Burman B, Jain S, Fitzgerald CWR, Sherman EJ, Dunn LA, Fetten JV, Michel LS, Kriplani A, Ng KK, Eng J, Tchekmedyian V, Haque S, Katabi N, Kuo F, Han CY, Nadeem Z, Yang W, Makarov V, Srivastava RM, Ostrovnaya I, Prasad M, Zuur CL, Riaz N, Pfister DG, Klebanoff CA, Chan TA, Ho AL, Morris LGT. Nivolumab plus ipilimumab in advanced salivary gland cancer: a phase 2 trial. Nat Med 2023; 29:3077-3089. [PMID: 37620627 DOI: 10.1038/s41591-023-02518-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023]
Abstract
Salivary gland cancers (SGCs) are rare, aggressive cancers without effective treatments when metastasized. We conducted a phase 2 trial evaluating nivolumab (nivo, anti-PD-1) and ipilimumab (ipi, anti-CTLA-4) in 64 patients with metastatic SGC enrolled in two histology-based cohorts (32 patients each): adenoid cystic carcinoma (ACC; cohort 1) and other SGCs (cohort 2). The primary efficacy endpoint (≥4 objective responses) was met in cohort 2 (5/32, 16%) but not in cohort 1 (2/32, 6%). Treatment safety/tolerability and progression-free survival (PFS) were secondary endpoints. Treatment-related adverse events grade ≥3 occurred in 24 of 64 (38%) patients across both cohorts, and median PFS was 4.4 months (95% confidence interval (CI): 2.4, 8.3) and 2.2 months (95% CI: 1.8, 5.3) for cohorts 1 and 2, respectively. We present whole-exome, RNA and T cell receptor (TCR) sequencing data from pre-treatment and on-treatment tumors and immune cell flow cytometry and TCR sequencing from peripheral blood at serial timepoints. Responding tumors universally demonstrated clonal expansion of pre-existing T cells and mutational contraction. Responding ACCs harbored neoantigens, including fusion-derived neoepitopes, that induced T cell responses ex vivo. This study shows that nivo+ipi has limited efficacy in ACC, albeit with infrequent, exceptional responses, and that it could be promising for non-ACC SGCs, particularly salivary duct carcinomas. ClinicalTrials.gov identifier: NCT03172624 .
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Affiliation(s)
- Joris L Vos
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bharat Burman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Swati Jain
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Conall W R Fitzgerald
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Eric J Sherman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lara A Dunn
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - James V Fetten
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Loren S Michel
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anuja Kriplani
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth K Ng
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juliana Eng
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vatche Tchekmedyian
- Department of Medicine, Maine Medical Center-Tufts University School of Medicine, Portland, ME, USA
| | - Sofia Haque
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nora Katabi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fengshen Kuo
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Catherine Y Han
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zaineb Nadeem
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wei Yang
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Vladimir Makarov
- Center for Immunotherapy and Precision Immuno-oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Raghvendra M Srivastava
- Center for Immunotherapy and Precision Immuno-oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Irina Ostrovnaya
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Manu Prasad
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charlotte L Zuur
- Department of Head and Neck Oncology and Surgery, The Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands
- Department of Otorhinolaryngology Head and Neck Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David G Pfister
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher A Klebanoff
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-oncology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Alan L Ho
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Luc G T Morris
- Head and Neck Service and Immunogenomic Oncology Platform, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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Dallmann J, Freitag J, Jung C, Khinvasara K, Merz L, Peters D, Schork M, Beck J. CIMT 2023: report on the 20th Annual Meeting of the Association for Cancer Immunotherapy. IMMUNO-ONCOLOGY TECHNOLOGY 2023; 20:100397. [PMID: 37876518 PMCID: PMC10590812 DOI: 10.1016/j.iotech.2023.100397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
The Association for Cancer Immunotherapy (CIMT) celebrated the 20th anniversary of the CIMT Annual Meeting. CIMT2023 was held 3-5 May 2023 in Mainz, Germany. 1051 academic and clinical professionals from over 30 countries attended the meeting and discussed the latest advances in cancer immunology and immunotherapy research. This report summarizes the highlights of CIMT2023.
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Affiliation(s)
- J. Dallmann
- Immunotherapies & Preclinical Research, BioNTech SE, Mainz
| | - J. Freitag
- TRON-Translational Oncology, University Medical Center of the Johannes Gutenberg University Mainz gGmbH, Mainz, Germany
| | - C. Jung
- BioNTech Cell & Gene Therapies GmbH, Mainz
| | - K. Khinvasara
- TRON-Translational Oncology, University Medical Center of the Johannes Gutenberg University Mainz gGmbH, Mainz, Germany
| | - L. Merz
- TRON-Translational Oncology, University Medical Center of the Johannes Gutenberg University Mainz gGmbH, Mainz, Germany
| | - D. Peters
- Immunotherapies & Preclinical Research, BioNTech SE, Mainz
| | - M. Schork
- TRON-Translational Oncology, University Medical Center of the Johannes Gutenberg University Mainz gGmbH, Mainz, Germany
| | - J.D. Beck
- Immunotherapies & Preclinical Research, BioNTech SE, Mainz
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27
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Bantug GR, Hess C. The immunometabolic ecosystem in cancer. Nat Immunol 2023; 24:2008-2020. [PMID: 38012409 DOI: 10.1038/s41590-023-01675-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 10/03/2023] [Indexed: 11/29/2023]
Abstract
Our increased understanding of how key metabolic pathways are activated and regulated in malignant cells has identified metabolic vulnerabilities of cancers. Translating this insight to the clinics, however, has proved challenging. Roadblocks limiting efficacy of drugs targeting cancer metabolism may lie in the nature of the metabolic ecosystem of tumors. The exchange of metabolites and growth factors between cancer cells and nonmalignant tumor-resident cells is essential for tumor growth and evolution, as well as the development of an immunosuppressive microenvironment. In this Review, we will examine the metabolic interplay between tumor-resident cells and how targeted inhibition of specific metabolic enzymes in malignant cells could elicit pro-tumorigenic effects in non-transformed tumor-resident cells and inhibit the function of tumor-specific T cells. To improve the efficacy of metabolism-targeted anticancer strategies, a holistic approach that considers the effect of metabolic inhibitors on major tumor-resident cell populations is needed.
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Affiliation(s)
- Glenn R Bantug
- Department of Biomedicine, Immunobiology, University of Basel and University Hospital of Basel, Basel, Switzerland.
| | - Christoph Hess
- Department of Biomedicine, Immunobiology, University of Basel and University Hospital of Basel, Basel, Switzerland.
- Department of Medicine, CITIID, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.
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28
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Soupir AC, Hayes MT, Peak TC, Ospina O, Chakiryan NH, Berglund AE, Stewart PA, Nguyen J, Segura CM, Francis NL, Echevarria PMR, Chahoud J, Li R, Tsai KY, Balasi JA, Peres YC, Dhillon J, Martinez LA, Gloria WE, Schurman N, Kim S, Gregory M, Mulé J, Fridley BL, Manley BJ. Increased spatial coupling of integrin and collagen IV in the immunoresistant clear cell renal cell carcinoma tumor microenvironment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.16.567457. [PMID: 38014063 PMCID: PMC10680839 DOI: 10.1101/2023.11.16.567457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Background Immunotherapy (IO) has improved survival for patients with advanced clear cell renal cell carcinoma (ccRCC), but resistance to therapy develops in most patients. We use cellular-resolution spatial transcriptomics in patients with IO naïve and IO exposed primary ccRCC tumors to better understand IO resistance. Spatial molecular imaging (SMI) was obtained for tumor and adjacent stroma samples. Spatial gene set enrichment analysis (GSEA) and autocorrelation (coupling with high expression) of ligand-receptor transcript pairs were assessed. Multiplex immunofluorescence (mIF) validation was used for significant autocorrelative findings and the cancer genome atlas (TCGA) and the clinical proteomic tumor analysis consortium (CPTAC) databases were queried to assess bulk RNA expression and proteomic correlates. Results 21 patient samples underwent SMI. Viable tumors following IO harbored more stromal CD8+ T cells and neutrophils than IO naïve tumors. YES1 was significantly upregulated in IO exposed tumor cells. The epithelial-mesenchymal transition pathway was enriched on spatial GSEA and the associated transcript pair COL4A1 - ITGAV had significantly higher autocorrelation in the stroma. Fibroblasts, tumor cells, and endothelium had the relative highest expression. More integrin αV+ cells were seen in IO exposed stroma on mIF validation. Compared to other cancers in TCGA, ccRCC tumors have the highest expression of both COL4A1 and ITGAV . In CPTAC, collagen IV protein was more abundant in advanced stages of disease. Conclusions On spatial transcriptomics, COL4A1 and ITGAV were more autocorrelated in IO-exposed stroma compared to IO-naïve tumors, with high expression amongst fibroblasts, tumor cells, and endothelium. Integrin represents a potential therapeutic target in IO treated ccRCC.
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29
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Usaite I, Biswas D, Dijkstra K, Watkins TB, Pich O, Puttick C, Angelova M, Thakkar K, Hiley C, Birkbak N, Kok M, Zaccaria S, Wu Y, Litchfield K, Swanton C, Kanu N. Quantifying the impact of immunotherapy on RNA dynamics in cancer. J Immunother Cancer 2023; 11:e007870. [PMID: 37914385 PMCID: PMC10626770 DOI: 10.1136/jitc-2023-007870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/05/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Checkpoint inhibitor (CPI) immunotherapies have provided durable clinical responses across a range of solid tumor types for some patients with cancer. Nonetheless, response rates to CPI vary greatly between cancer types. Resolving intratumor transcriptomic changes induced by CPI may improve our understanding of the mechanisms of sensitivity and resistance. METHODS We assembled a cohort of longitudinal pre-therapy and on-therapy samples from 174 patients treated with CPI across six cancer types by leveraging transcriptomic sequencing data from five studies. RESULTS Meta-analyses of published RNA markers revealed an on-therapy pattern of immune reinvigoration in patients with breast cancer, which was not discernible pre-therapy, providing biological insight into the impact of CPI on the breast cancer immune microenvironment. We identified 98 breast cancer-specific correlates of CPI response, including 13 genes which are known IO targets, such as toll-like receptors TLR1, TLR4, and TLR8, that could hold potential as combination targets for patients with breast cancer receiving CPI treatment. Furthermore, we demonstrate that a subset of response genes identified in breast cancer are already highly expressed pre-therapy in melanoma, and additionally we establish divergent RNA dynamics between breast cancer and melanoma following CPI treatment, which may suggest distinct immune microenvironments between the two cancer types. CONCLUSIONS Overall, delineating longitudinal RNA dynamics following CPI therapy sheds light on the mechanisms underlying diverging response trajectories, and identifies putative targets for combination therapy.
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Affiliation(s)
- Ieva Usaite
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Dhruva Biswas
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Bill Lyons Informatics Centre, University College London Cancer Institute, London, UK
| | - Krijn Dijkstra
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Thomas Bk Watkins
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Clare Puttick
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Mihaela Angelova
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Krupa Thakkar
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Crispin Hiley
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Nicolai Birkbak
- Department of Molecular Medicine, Aarhus Universitet, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus Universitet, Aarhus, Denmark
| | - Marleen Kok
- Division of Tumor Biology & Immunology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Yin Wu
- Department of Medical Oncology, Guy's and St. Thomas' NHS Foundation Trust, London, UK
- Peter Gorer Department of Immunobiology and Centre for Inflammation Biology and Cancer Immunology, King's College London, London, UK
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Tumour Immunogenomics and Immunosurveillance Laboratory, University College London Cancer Institute, London, UK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Nnennaya Kanu
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
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30
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Zhong W, Chen H, Yang J, Huang C, Lin Y, Huang J. Inflammatory response-based prognostication and personalized therapy decisions in clear cell renal cell cancer to aid precision oncology. BMC Med Genomics 2023; 16:265. [PMID: 37885006 PMCID: PMC10601329 DOI: 10.1186/s12920-023-01687-5] [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: 03/01/2023] [Accepted: 10/03/2023] [Indexed: 10/28/2023] Open
Abstract
OBJECTIVE The impact of inflammatory response on tumor development and therapeutic response is of significant importance in clear cell renal cell carcinoma (ccRCC). The customization of specialized prognostication approaches and the exploration of supplementary treatment options hold critical clinical implications in relation to the inflammatory response. METHODS In the present study, unsupervised clustering was implemented on TCGA-KIRC tumors using transcriptome profiles of inflammatory response genes, which was then validated in two ccRCC datasets (E-MATB-1980 and ICGC) and two immunotherapy datasets (IMvigor210 and Liu et al.) via SubMap and NTP algorithms. Combining co-expression and LASSO analyses, inflammatory response-based scoring system was defined, which was evaluated in pan-cancer. RESULTS Three reproducible inflammatory response subtypes (named IR1, IR2 and IR3) were determined and independently verified, each exhibiting distinct molecular, clinical, and immunological characteristics. Among these subtypes, IR2 had the best OS outcomes, followed by IR3 and IR1. In terms of anti-angiogenic agents, sunitinib may be appropriate for IR1 patients, while axitinib and pazopanib may be suitable for IR2 patients, and sorafenib for IR3 patients. Additionally, IR1 patients might benefit from anti-CTLA4 therapy. A scoring system called IRscore was defined for individual ccRCC patients. Patients with high IRscore presented a lower response rate to anti-PD-L1 therapy and worse prognostic outcomes. Pan-cancer analysis demonstrated the immunological features and prognostic relevance of the IRscore. CONCLUSION Altogether, characterization of inflammatory response subtypes and IRscore provides a roadmap for patient risk stratification and personalized treatment decisions, not only in ccRCC, but also in pan-cancer.
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Affiliation(s)
- Weimin Zhong
- Central laboratory, The Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, China
| | - Huijing Chen
- Central laboratory, The Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, China
| | - Jiayi Yang
- Central laboratory, The Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, China
| | - Chaoqun Huang
- Central laboratory, The Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, China
| | - Yao Lin
- Central Laboratory at The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Collaborative Innovation Center for Rehabilitation Technology, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122, China.
| | - Jiyi Huang
- Department of Nephrology, The Fifth Hospital of Xiamen, Xiamen, 361101, Fujian Province, People's Republic of China.
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Boileau P, Qi NT, van der Laan MJ, Dudoit S, Leng N. A flexible approach for predictive biomarker discovery. Biostatistics 2023; 24:1085-1105. [PMID: 35861622 DOI: 10.1093/biostatistics/kxac029] [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: 02/07/2022] [Revised: 06/01/2022] [Accepted: 06/27/2022] [Indexed: 11/14/2022] Open
Abstract
An endeavor central to precision medicine is predictive biomarker discovery; they define patient subpopulations which stand to benefit most, or least, from a given treatment. The identification of these biomarkers is often the byproduct of the related but fundamentally different task of treatment rule estimation. Using treatment rule estimation methods to identify predictive biomarkers in clinical trials where the number of covariates exceeds the number of participants often results in high false discovery rates. The higher than expected number of false positives translates to wasted resources when conducting follow-up experiments for drug target identification and diagnostic assay development. Patient outcomes are in turn negatively affected. We propose a variable importance parameter for directly assessing the importance of potentially predictive biomarkers and develop a flexible nonparametric inference procedure for this estimand. We prove that our estimator is double robust and asymptotically linear under loose conditions in the data-generating process, permitting valid inference about the importance metric. The statistical guarantees of the method are verified in a thorough simulation study representative of randomized control trials with moderate and high-dimensional covariate vectors. Our procedure is then used to discover predictive biomarkers from among the tumor gene expression data of metastatic renal cell carcinoma patients enrolled in recently completed clinical trials. We find that our approach more readily discerns predictive from nonpredictive biomarkers than procedures whose primary purpose is treatment rule estimation. An open-source software implementation of the methodology, the uniCATE R package, is briefly introduced.
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Affiliation(s)
- Philippe Boileau
- Graduate Group in Biostatistics and Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Nina Ting Qi
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
| | - Mark J van der Laan
- Division of Biostatistics, Department of Statistics, Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Sandrine Dudoit
- Division of Biostatistics, Department of Statistics, Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Ning Leng
- Genentech Inc., 1 DNA Way, South San Francisco, CA 94080, USA
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Braun DA, Chakraborty AA. Immunobiology and Metabolic Pathways of Renal Cell Carcinoma. Hematol Oncol Clin North Am 2023; 37:827-840. [PMID: 37246090 DOI: 10.1016/j.hoc.2023.04.012] [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] [Indexed: 05/30/2023]
Abstract
The treatment of advanced renal cell carcinoma (RCC) has changed dramatically with immune checkpoint inhibitors, yet most patients do not have durable responses. There is consequently a tremendous need for novel therapeutic development. RCC, and particularly the most common histology clear cell RCC, is an immunobiologically and metabolically distinct tumor. An improved understanding of RCC-specific biology will be necessary for the successful identification of new treatment targets for this disease. In this review, we discuss the current understanding of RCC immune pathways and metabolic dysregulation, with a focus on topics important for future clinical development.
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Affiliation(s)
- David A Braun
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, 300 George Street (Suite 6400), New Haven, CT 06511, USA.
| | - Abhishek A Chakraborty
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinical, 9500 Euclid Avenue (NB40), Cleveland, OH 44195, USA; Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA.
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Kuusk T, Bex A. Adjuvant and Neoadjuvant Therapy in Renal Cell Carcinoma. Hematol Oncol Clin North Am 2023; 37:907-920. [PMID: 37369611 DOI: 10.1016/j.hoc.2023.05.020] [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] [Indexed: 06/29/2023]
Abstract
In locally advanced RCC, 6 phase 3 randomized controlled trials (RCTs) were designed in the perioperative setting with immune checkpoint inhibitor (ICI) monotherapy or combinations. Adjuvant trials with atezolizumab, pembrolizumab, and nivolumab with ipilimumab reported results, as did the only perioperative trial with nivolumab. Of these, only 1 year of adjuvant pembrolizumab improved disease-free survival (DFS) versus placebo, with the other trials showing no improvement in DFS. In the purely neoadjuvant setting, phase 1 b/2 ICI trials have demonstrated safety, efficacy, and dynamic changes of immune infiltrates, and provide a rationale for randomized trial concepts.
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Affiliation(s)
- Teele Kuusk
- Homerton University Hospital, London, UK; Specialist Centre for Kidney Cancer, Royal Free London NHS Foundation Trust, Pond Street, London NW3 2QG, UK; Department of Urology, The Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066 CX, The Netherlands
| | - Axel Bex
- Specialist Centre for Kidney Cancer, Royal Free London NHS Foundation Trust, Pond Street, London NW3 2QG, UK; Department of Urology, The Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066 CX, The Netherlands; Division of Surgery and Interventional Science, University College London, Pond Street, London NW3 2QG, UK.
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Luo Y, Liang H. Single-cell dissection of tumor microenvironmental response and resistance to cancer therapy. Trends Genet 2023; 39:758-772. [PMID: 37658004 PMCID: PMC10529478 DOI: 10.1016/j.tig.2023.07.005] [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: 05/25/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 09/03/2023]
Abstract
Cancer treatment strategies have evolved significantly over the years, with chemotherapy, targeted therapy, and immunotherapy as major pillars. Each modality leads to unique treatment outcomes by interacting with the tumor microenvironment (TME), which imposes a fundamental selective pressure on cancer progression. The advent of single-cell profiling technologies has revolutionized our understanding of the intricate and heterogeneous nature of the TME at an unprecedented resolution. This review delves into the commonalities and differential manifestations of how cancer therapies reshape the microenvironment in diverse cancer types. We highlight how groundbreaking immune checkpoint blockade (ICB) strategies alone or in combination with tumor-targeting treatments are endowed with comprehensive mechanistic insights when decoded at the single-cell level, aiming to drive forward future research directions on personalized treatments.
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Affiliation(s)
- Yikai Luo
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Han Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
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35
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Alchahin AM, Tsea I, Baryawno N. Recent Advances in Single-Cell RNA-Sequencing of Primary and Metastatic Clear Cell Renal Cell Carcinoma. Cancers (Basel) 2023; 15:4734. [PMID: 37835428 PMCID: PMC10571653 DOI: 10.3390/cancers15194734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/22/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023] Open
Abstract
Over the past two decades, significant progress has been made in the treatment of clear cell renal cell carcinoma (ccRCC), with a shift towards adopting new treatment approaches ranging from monotherapy to triple-combination therapy. This progress has been spearheaded by fundamental technological advancements that have allowed a deeper understanding of the various biological components of this cancer. In particular, the rapid commercialization of transcriptomics technologies, such as single-cell RNA-sequencing (scRNA-seq) methodologies, has played a crucial role in accelerating this understanding. Through precise measurements facilitated by these technologies, the research community has successfully identified and characterized diverse tumor, immune, and stromal cell populations, uncovering their interactions and pathways involved in disease progression. In localized ccRCC, patients have shown impressive response rates to treatment. However, despite the emerging findings and new knowledge provided in the field, there are still patients that do not respond to treatment, especially in advanced disease stages. One of the key challenges lies in the limited study of ccRCC metastases compared to localized cases. This knowledge gap may contribute to the relatively low survival rates and response rates observed in patients with metastatic ccRCC. To bridge this gap, we here delve into recent research utilizing scRNA-seq technologies in both primary and metastatic ccRCC. The goal of this review is to shed light on the current state of knowledge in the field, present existing treatment options, and emphasize the crucial steps needed to improve survival rates, particularly in cases of metastatic ccRCC.
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Affiliation(s)
| | | | - Ninib Baryawno
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, 10000-19999 Stockholm, Sweden; (A.M.A.); (I.T.)
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36
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Wen X, Shen J, De Miglio MR, Zeng D, Sechi LA. Endogenous retrovirus group FRD member 1 is a potential biomarker for prognosis and immunotherapy for kidney renal clear cell carcinoma. Front Cell Infect Microbiol 2023; 13:1252905. [PMID: 37780849 PMCID: PMC10534008 DOI: 10.3389/fcimb.2023.1252905] [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: 07/04/2023] [Accepted: 08/29/2023] [Indexed: 10/03/2023] Open
Abstract
Introduction The activation of endogenous retroviral (ERV) genes in kidney renal clear cell carcinoma (KIRC) suggests the necessity for further research on their functions. Methods In this study, KIRC and healthy cohorts were obtained from TGGA and GEO datasets. Subsequently, differential analysis and functional annotation were conducted using GO, KEGG, and GSEA. Clinical outcomes were then observed and utilized in the development of a nomogram. Results We observed the general low expression of ERVFRD-1 in KIRC tumors compared to normal tissue (P < 0.001) across multiple cohorts. Differential analysis and functional annotation using GO, KEGG, GSEA analysis revealed significant involvement of ERVFRD-1 in tumor immunoregulation: a close relation to the infiltration levels of mast cells and Treg cell (P < 0.001) and occurrence with a variety of immune markers. Methylation status was then applied to uncover potential mechanisms of ERVFRD-1 in KIRC. Notably, higher expression levels of ERVFRD-1 were associated with extended overall survival, disease-specific survival, and progression-free survival. Finally, based on Cox regression analysis, we constructed a nomogram incorporating ERVFRD-1, pathologic T, and age, which exhibited promising predictive power in assessing the survival outcomes of KIRC patients. Discussion To sum up, our study suggests that ERVFRD-1 plays a role in regulating immunological activity within the tumor microenvironment and is associated with overall survival in KIRC patients. ERVFRD-1 may therefore be a sensitive biomarker for diagnosis, immunotherapy, and prognosis assessment of KIRC.
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Affiliation(s)
- Xiaofen Wen
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Jiaxin Shen
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Department of Hematology, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Maria Rosaria De Miglio
- Department of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy
| | - De Zeng
- Department of Medical Oncology, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Leonardo A. Sechi
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
- Struttura Complessa (SC) Microbiologia e Virologia, Azienda Ospedaliera Universitaria, Sassari, Italy
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37
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He L, Gao F, Zhu J, Xu Q, Yu Q, Yang M, Huang Y. Homologous recombination deficiency serves as a prognostic biomarker in clear cell renal cell carcinoma. Exp Ther Med 2023; 26:429. [PMID: 37602311 PMCID: PMC10433413 DOI: 10.3892/etm.2023.12128] [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: 10/21/2022] [Accepted: 04/18/2023] [Indexed: 08/22/2023] Open
Abstract
Kidney renal clear cell carcinoma (KIRC) is a frequent malignant tumor characterized by a high degree of heterogeneity and genetic instability. DNA double-strand breaks generated by homologous recombination deficit (HRD) are a well-known contributor to genomic instability, which can encourage tumor development. It is not known, however, whether the molecular characteristics linked with HRD have a predictive role in KIRC. The discovery cohort comprised 501 KIRC patients from The Cancer Genome Atlas database. Genome and transcriptome data of HRD patients were used for comprehensive analysis. Single cell RNA sequencing (scRNA-seq) was used to verify the test results of bulk RNA-seq. In the present study, patients with a high HRD score had a worse prognosis compared with those with a low HRD score. The DNA damage response signaling pathways and immune-related signaling pathways were notably enriched in the HRD-positive subgroup. Further comprehensive analysis of the tumor microenvironment (TME) revealed that the signal of exhausted CD8+ T cells was enriched in the HRD-positive subgroup. Finally, scRNA-seq analyses confirmed that the immune-related signaling pathways were upregulated in HRD-positive patients. In conclusion, the present study not only demonstrated that a high HRD score is a valid prognostic biomarker in KIRC patients, but also revealed the TME in HRD-positive tumors.
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Affiliation(s)
- Liping He
- Department of Urology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 310007, P.R. China
| | - Feng Gao
- Department of Urology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 310007, P.R. China
| | - Jingyu Zhu
- Department of Urology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 310007, P.R. China
| | - Qiaoping Xu
- Department of Clinical Pharmacology, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, Cancer Center, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310000, P.R. China
| | - Qiqi Yu
- Department of Urology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 310007, P.R. China
| | - Mei Yang
- Department of Urology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 310007, P.R. China
| | - Yasheng Huang
- Department of Urology, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang 310007, P.R. China
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Yang K, Halima A, Chan TA. Antigen presentation in cancer - mechanisms and clinical implications for immunotherapy. Nat Rev Clin Oncol 2023; 20:604-623. [PMID: 37328642 DOI: 10.1038/s41571-023-00789-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/18/2023]
Abstract
Over the past decade, the emergence of effective immunotherapies has revolutionized the clinical management of many types of cancers. However, long-term durable tumour control is only achieved in a fraction of patients who receive these therapies. Understanding the mechanisms underlying clinical response and resistance to treatment is therefore essential to expanding the level of clinical benefit obtained from immunotherapies. In this Review, we describe the molecular mechanisms of antigen processing and presentation in tumours and their clinical consequences. We examine how various aspects of the antigen-presentation machinery (APM) shape tumour immunity. In particular, we discuss genomic variants in HLA alleles and other APM components, highlighting their influence on the immunopeptidomes of both malignant cells and immune cells. Understanding the APM, how it is regulated and how it changes in tumour cells is crucial for determining which patients will respond to immunotherapy and why some patients develop resistance. We focus on recently discovered molecular and genomic alterations that drive the clinical outcomes of patients receiving immune-checkpoint inhibitors. An improved understanding of how these variables mediate tumour-immune interactions is expected to guide the more precise administration of immunotherapies and reveal potentially promising directions for the development of new immunotherapeutic approaches.
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Affiliation(s)
- Kailin Yang
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, USA
| | - Ahmed Halima
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, USA
| | - Timothy A Chan
- Department of Radiation Oncology, Taussig Cancer Center, Cleveland Clinic, Cleveland, OH, USA.
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA.
- National Center for Regenerative Medicine, Cleveland, OH, USA.
- Case Comprehensive Cancer Center, Cleveland, OH, USA.
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Studentova H, Spisarova M, Kopova A, Zemankova A, Melichar B, Student V. The Evolving Landscape of Cytoreductive Nephrectomy in Metastatic Renal Cell Carcinoma. Cancers (Basel) 2023; 15:3855. [PMID: 37568671 PMCID: PMC10417043 DOI: 10.3390/cancers15153855] [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: 06/27/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
The role of cytoreductive nephrectomy in metastatic renal cell carcinoma (RCC) has been studied intensively over the past few decades. Interestingly, the opinion with regard to the importance of this procedure has switched from a recommendation as a standard of care to an almost complete refutation. However, no definitive agreement on cytoreductive nephrectomy, including the pros and cons of the procedure, has been reached, and the topic remains highly controversial. With the advent of immune checkpoint inhibitors, we have experienced a paradigm shift, with immunotherapy playing a crucial role in the treatment algorithm. Nevertheless, obtaining results from prospective clinical trials on the role of cytoreductive nephrectomy requires time, and once some data have been gathered, the standards of systemic therapy may be different, and we stand again at the beginning. This review summarizes current knowledge on the topic in the light of newly evolving treatment strategies. The crucial point is to recognize who could be an appropriate candidate for immediate cytoreductive surgery that may facilitate the effect of systemic therapy through tumor debulking, or who might benefit from deferred cytoreduction in the setting of an objective response of the tumor. The role of prognostic factors in management decisions as well as the technical details associated with performing the procedure from a urological perspective are discussed. Ongoing clinical trials that may bring new evidence for transforming therapeutic paradigms are listed.
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Affiliation(s)
- Hana Studentova
- Department of Oncology, Faculty of Medicine and Dentistry, University Hospital Olomouc, Palacky University, 771 47 Olomouc, Czech Republic; (H.S.); (M.S.); (A.K.); (A.Z.); (B.M.)
| | - Martina Spisarova
- Department of Oncology, Faculty of Medicine and Dentistry, University Hospital Olomouc, Palacky University, 771 47 Olomouc, Czech Republic; (H.S.); (M.S.); (A.K.); (A.Z.); (B.M.)
| | - Andrea Kopova
- Department of Oncology, Faculty of Medicine and Dentistry, University Hospital Olomouc, Palacky University, 771 47 Olomouc, Czech Republic; (H.S.); (M.S.); (A.K.); (A.Z.); (B.M.)
| | - Anezka Zemankova
- Department of Oncology, Faculty of Medicine and Dentistry, University Hospital Olomouc, Palacky University, 771 47 Olomouc, Czech Republic; (H.S.); (M.S.); (A.K.); (A.Z.); (B.M.)
| | - Bohuslav Melichar
- Department of Oncology, Faculty of Medicine and Dentistry, University Hospital Olomouc, Palacky University, 771 47 Olomouc, Czech Republic; (H.S.); (M.S.); (A.K.); (A.Z.); (B.M.)
| | - Vladimir Student
- Department of Urology, Faculty of Medicine and Dentistry, University Hospital Olomouc, Palacky University, 771 47 Olomouc, Czech Republic
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Chang YS, Hsu MH, Chung CC, Chen HD, Tu SJ, Lee YT, Yen JC, Liu TC, Chang JG. Comprehensive Analysis and Drug Modulation of Human Endogenous Retrovirus in Hepatocellular Carcinomas. Cancers (Basel) 2023; 15:3664. [PMID: 37509325 PMCID: PMC10377948 DOI: 10.3390/cancers15143664] [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: 06/06/2023] [Revised: 07/12/2023] [Accepted: 07/16/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Human endogenous retroviruses (HERVs) play an important role in the development of cancer and many diseases. Here, we comprehensively explored the impact of HERVs on hepatocellular carcinomas (HCCs). METHODS We employed Telescope to identify HERVs and quantify their expression in the total RNA sequencing data obtained from 254 HCC samples, comprising 254 tumor tissues and 34 matched normal tissues. RESULTS In total, 3357 locus-specific activations of HERVs were differentially expressed, and 180 were correlated with patient survival. Using these 180 HERVs for classification, we found four subgroups with survival correlation. Higher expression levels of the 180 HERVs were correlated with poorer survival, while age, AFP, some mutations, and copy and structural variants differed among subgroups. The differential expression of host genes in high expression of these 180 HERVs primarily involved the activation of pathways related to immunity and infection, lipid and atherosclerosis, MAPK and NF-kB signaling, and cytokine-cytokine receptor interactions. Conversely, there was a suppression of pathways associated with RNA processing, including nucleocytoplasmic transport, surveillance and ribosome biogenesis, and transcriptional misregulation in cancer pathways. Almost all genes involved in HERV activation restriction, KRAB zinc finger proteins, RNA nucleocytoplasmic transport, stemness, HLA and antigen processing and presentation, and immune checkpoints were overexpressed in cancerous tissues, and many over-expressed HERV-related nearby genes were correlated with high HERV activation and poor survival. Twenty-three immune and stromal cells showed higher expression in non-cancerous than cancerous tissues, and seven were correlated with HERV activation. Small-molecule modulation of alternative splicing (AS) altered the expression of survival-related HERVs and their activation-related genes, as well as nearby genes. CONCLUSION Comprehensive and integrated approaches for evaluating HERV expression and their correlation with specific pathways have the potential to provide new companion diagnostics and therapeutic strategies for HCC.
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Affiliation(s)
- Ya-Sian Chang
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
- Department of Laboratory Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- School of Medicine, China Medical University, Taichung 40402, Taiwan
| | - Ming-Hon Hsu
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
- Department of Laboratory Medicine, China Medical University Hospital, Taichung 40447, Taiwan
| | - Chin-Chun Chung
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
| | - Hong-Da Chen
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
- Department of Laboratory Medicine, China Medical University Hospital, Taichung 40447, Taiwan
| | - Siang-Jyun Tu
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
- Department of Laboratory Medicine, China Medical University Hospital, Taichung 40447, Taiwan
| | - Ya-Ting Lee
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
| | - Ju-Chen Yen
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
| | - Ta-Chih Liu
- Department of Hematology-Oncology, Chang Bing Show Chwan Memorial Hospital, Changhua 50544, Taiwan
| | - Jan-Gowth Chang
- Center for Precision Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- Epigenome Research Center, China Medical University Hospital, Taichung 40447, Taiwan
- Department of Laboratory Medicine, China Medical University Hospital, Taichung 40447, Taiwan
- School of Medicine, China Medical University, Taichung 40402, Taiwan
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41
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Wolf MM, Rathmell WK, de Cubas AA. Immunogenicity in renal cell carcinoma: shifting focus to alternative sources of tumour-specific antigens. Nat Rev Nephrol 2023; 19:440-450. [PMID: 36973495 PMCID: PMC10801831 DOI: 10.1038/s41581-023-00700-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2023] [Indexed: 03/29/2023]
Abstract
Renal cell carcinoma (RCC) comprises a group of malignancies arising from the kidney with unique tumour-specific antigen (TSA) signatures that can trigger cytotoxic immunity. Two classes of TSAs are now considered potential drivers of immunogenicity in RCC: small-scale insertions and deletions (INDELs) that result in coding frameshift mutations, and activation of human endogenous retroviruses. The presence of neoantigen-specific T cells is a hallmark of solid tumours with a high mutagenic burden, which typically have abundant TSAs owing to non-synonymous single nucleotide variations within the genome. However, RCC exhibits high cytotoxic T cell reactivity despite only having an intermediate non-synonymous single nucleotide variation mutational burden. Instead, RCC tumours have a high pan-cancer proportion of INDEL frameshift mutations, and coding frameshift INDELs are associated with high immunogenicity. Moreover, cytotoxic T cells in RCC subtypes seem to recognize tumour-specific endogenous retrovirus epitopes, whose presence is associated with clinical responses to immune checkpoint blockade therapy. Here, we review the distinct molecular landscapes in RCC that promote immunogenic responses, discuss clinical opportunities for discovery of biomarkers that can inform therapeutic immune checkpoint blockade strategies, and identify gaps in knowledge for future investigations.
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Affiliation(s)
- Melissa M Wolf
- Department of Medicine, Program in Cancer Biology, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - W Kimryn Rathmell
- Department of Medicine, Program in Cancer Biology, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Aguirre A de Cubas
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC, USA.
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA.
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42
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Lee MH, Theodoropoulos J, Huuhtanen J, Bhattacharya D, Järvinen P, Tornberg S, Nísen H, Mirtti T, Uski I, Kumari A, Peltonen K, Draghi A, Donia M, Kreutzman A, Mustjoki S. Immunologic Characterization and T cell Receptor Repertoires of Expanded Tumor-infiltrating Lymphocytes in Patients with Renal Cell Carcinoma. CANCER RESEARCH COMMUNICATIONS 2023; 3:1260-1276. [PMID: 37484198 PMCID: PMC10361538 DOI: 10.1158/2767-9764.crc-22-0514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 03/27/2023] [Accepted: 06/21/2023] [Indexed: 07/25/2023]
Abstract
The successful use of expanded tumor-infiltrating lymphocytes (TIL) in adoptive TIL therapies has been reported, but the effects of the TIL expansion, immunophenotype, function, and T cell receptor (TCR) repertoire of the infused products relative to the tumor microenvironment (TME) are not well understood. In this study, we analyzed the tumor samples (n = 58) from treatment-naïve patients with renal cell carcinoma (RCC), "pre-rapidly expanded" TILs (pre-REP TIL, n = 15) and "rapidly expanded" TILs (REP TIL, n = 25) according to a clinical-grade TIL production protocol, with single-cell RNA (scRNA)+TCRαβ-seq (TCRαβ sequencing), TCRβ-sequencing (TCRβ-seq), and flow cytometry. REP TILs encompassed a greater abundance of CD4+ than CD8+ T cells, with increased LAG-3 and low PD-1 expressions in both CD4+ and CD8+ T cell compartments compared with the pre-REP TIL and tumor T cells. The REP protocol preferentially expanded small clones of the CD4+ phenotype (CD4, IL7R, KLRB1) in the TME, indicating that the largest exhausted T cell clones in the tumor do not expand during the expansion protocol. In addition, by generating a catalog of RCC-associated TCR motifs from >1,000 scRNA+TCRαβ-seq and TCRβ-seq RCC, healthy and other cancer sample cohorts, we quantified the RCC-associated TCRs from the expansion protocol. Unlike the low-remaining amount of anti-viral TCRs throughout the expansion, the quantity of the RCC-associated TCRs was high in the tumors and pre-REP TILs but decreased in the REP TILs. Our results provide an in-depth understanding of the origin, phenotype, and TCR specificity of RCC TIL products, paving the way for a more rationalized production of TILs. Significance TILs are a heterogenous group of immune cells that recognize and attack the tumor, thus are utilized in various clinical trials. In our study, we explored the TILs in patients with kidney cancer by expanding the TILs using a clinical-grade protocol, as well as observed their characteristics and ability to recognize the tumor using in-depth experimental and computational tools.
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Affiliation(s)
- Moon Hee Lee
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Jason Theodoropoulos
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Jani Huuhtanen
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
- Department of Computer Science, Aalto University, Espoo, Finland
| | - Dipabarna Bhattacharya
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Petrus Järvinen
- Abdominal Center, Urology, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - Sara Tornberg
- Abdominal Center, Urology, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - Harry Nísen
- Abdominal Center, Urology, Helsinki University and Helsinki University Hospital, Helsinki, Finland
| | - Tuomas Mirtti
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
- Department of Pathology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Biomedical Engineering, School of Medicine, Emory University, Atlanta, Georgia
| | - Ilona Uski
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Anita Kumari
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Karita Peltonen
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
| | - Arianna Draghi
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Marco Donia
- National Center for Cancer Immune Therapy, Department of Oncology, Copenhagen University Hospital, Herlev, Denmark
| | - Anna Kreutzman
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, Department of Clinical Chemistry and Hematology, University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland
- Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
- iCAN Digital Precision Cancer Medicine Flagship, University of Helsinki, Helsinki, Finland
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Su J, Zhou L, Zhang Z, Xiao X, Qin Y, Zhou X, Huang T. The components of tumor microenvironment as biomarker for immunotherapy in metastatic renal cell carcinoma. Front Immunol 2023; 14:1146738. [PMID: 37350955 PMCID: PMC10282412 DOI: 10.3389/fimmu.2023.1146738] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 05/26/2023] [Indexed: 06/24/2023] Open
Abstract
Substantial improvement in prognosis among metastatic renal cell carcinoma (mRCC) patients has been achieved, owing to the rapid development and utilization of immunotherapy. In particular, immune checkpoint inhibitors (ICIs) have been considered the backbone of systemic therapy for patients with mRCC alongside multi-targeted tyrosine kinase inhibitors (TKIs) in the latest clinical practice guidelines. However, controversies and challenges in optimal individualized treatment regarding immunotherapy remains still About 2/3 of the patients presented non-response or acquired resistance to ICIs. Besides, immune-related toxicities, namely immune-related adverse events, are still elusive and life-threatening. Thus, reliable biomarkers to predict immunotherapeutic outcomes for mRCC patients are needed urgently. Tumor microenvironment (TME), consisting of immune cells, vasculature, signaling molecules, and extracellular matrix and regulates tumor immune surveillance and immunological evasion through complex interplay, plays a critical role in tumor immune escape and consequently manipulates the efficacy of immunotherapy. Various studied have identified the different TME components are significantly associated with the outcome of mRCC patients receiving immunotherapy, making them potential valuable biomarkers in therapeutic guidance. The present review aims to summarize the latest evidence on the associations between the components of TME including immune cells, cytokines and extracellular matrix, and the therapeutic responses among mRCC patients with ICI-based treatment. We further discuss the feasibility and limitation of these components as biomarkers.
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Affiliation(s)
- Jiaming Su
- Department of Otorhinolaryngology and Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Lu Zhou
- Department of Otorhinolaryngology and Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | - Zhe Zhang
- Department of Otorhinolaryngology and Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, China
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, China
| | - Xue Xiao
- Department of Otorhinolaryngology and Head and Neck Surgery, First Affiliated Hospital, Guangxi Medical University, Nanning, China
| | | | - Xiaoying Zhou
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, China
- Life Science Institute, Guangxi Medical University, Nanning, China
| | - Tingting Huang
- Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Nanning, China
- Department of Radiation Oncology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Combes AJ, Samad B, Krummel MF. Defining and using immune archetypes to classify and treat cancer. Nat Rev Cancer 2023:10.1038/s41568-023-00578-2. [PMID: 37277485 DOI: 10.1038/s41568-023-00578-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2023] [Indexed: 06/07/2023]
Abstract
Tumours are surrounded by a host immune system that can suppress or promote tumour growth. The tumour microenvironment (TME) has often been framed as a singular entity, suggesting a single type of immune state that is defective and in need of therapeutic intervention. By contrast, the past few years have highlighted a plurality of immune states that can surround tumours. In this Perspective, we suggest that different TMEs have 'archetypal' qualities across all cancers - characteristic and repeating collections of cells and gene-expression profiles at the level of the bulk tumour. We discuss many studies that together support a view that tumours typically draw from a finite number (around 12) of 'dominant' immune archetypes. In considering the likely evolutionary origin and roles of these archetypes, their associated TMEs can be predicted to have specific vulnerabilities that can be leveraged as targets for cancer treatment with expected and addressable adverse effects for patients.
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Affiliation(s)
- Alexis J Combes
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
- Bakar ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
- UCSF Immunoprofiler Initiative, University of California San Francisco, San Francisco, CA, USA.
- UCSF CoLabs, University of California San Francisco, San Francisco, CA, USA.
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
| | - Bushra Samad
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA
- Bakar ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA
- UCSF Immunoprofiler Initiative, University of California San Francisco, San Francisco, CA, USA
- UCSF CoLabs, University of California San Francisco, San Francisco, CA, USA
| | - Matthew F Krummel
- Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
- Bakar ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
- UCSF Immunoprofiler Initiative, University of California San Francisco, San Francisco, CA, USA.
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Koti M, Bivalacqua T, Black PC, Cathomen T, Galsky MD, Gulley JL, Ingersoll MA, Kamat AM, Kassouf W, Siemens DR, Gao J. Adaptive Immunity in Genitourinary Cancers. Eur Urol Oncol 2023; 6:263-272. [PMID: 37069029 DOI: 10.1016/j.euo.2023.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 02/21/2023] [Accepted: 03/09/2023] [Indexed: 04/19/2023]
Abstract
CONTEXT While urothelial and renal cell cancers have exhibited modest responses to novel immune checkpoint inhibitors targeting the programmed death ligand 1 and its receptor, response rates in patients with prostate cancer have remained poor. The factors underlying suboptimal outcomes observed in patients treated with novel immunotherapies are still to be resolved. OBJECTIVE To review the literature and describe the key adaptive immune physiological events associated with cancer progression and therapeutic response in genitourinary (GU) cancers. EVIDENCE ACQUISITION We performed a nonsystematic, collaborative narrative review to highlight recent advancements leading to the current state of knowledge on the critical mediators of antitumor adaptive immunity to GU cancers. Further, we discuss the findings on the pre- and post-treatment immunological events that either are unique to each of the three cancer types or exhibit overlapping clinical associations. EVIDENCE SYNTHESIS Aging-associated immune function decline is a major factor underlying poor outcomes observed in patients treated with both conventional and novel immunotherapies. Other cancer immunobiological aspects associated with suboptimal responses in GU cancers include the overall tumor mutational burden, mutations in specific tumor suppressor/DNA damage repair genes (KDM6A, PTEN, STAG2, TP53, ATM, and BRCA2), and abundance of multiple functional states of adaptive immune cells and their spatiotemporal localization within the tumor immune microenvironment. Understanding these mechanisms may potentially lead to the development of prognostic and predictive biomarkers such as immune cell infiltration profiles and tertiary lymphoid structures (TLSs) that associate with variable clinical outcomes depending on the nature of the novel immunotherapeutic approach. Implementation of newer immune-monitoring technologies and improved preclinical modeling systems will augment our understanding of the host and tumor intrinsic factors contributing to the variability of responses to immunotherapies. CONCLUSIONS Despite the tremendous progress made in the understanding of dynamic and static adaptive immune elements within the tumor immune landscape, several knowledge gaps remain. A comprehensive knowledge thus gained will lead to precision immunotherapy, improved drug sequencing, and a therapeutic response. PATIENT SUMMARY We performed a collaborative review by a diverse group of experts in the field to examine our understanding of the events and crosstalk between cancer cells and the patient's immune system that are associated with responses to novel immunotherapies. An evolving understanding of tumor-intrinsic and host-related immune alterations, both before and after therapy, will aid in the discovery of promising markers of responses to immunotherapy as well as the development of unique therapeutic approaches for the management of genitourinary cancers.
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Affiliation(s)
- Madhuri Koti
- Department of Biomedical and Molecular Sciences, Cancer Research Institute, Queen's University, Kingston, ON, Canada.
| | - Trinity Bivalacqua
- Department of Urology, Perelman Center for Advanced Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter C Black
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Toni Cathomen
- Institute for Transfusion Medicine and Gene Therapy, Faculty of Medicine & Medical Center - University of Freiburg, Freiburg, Germany
| | - Matthew D Galsky
- Division of Hematology/Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - James L Gulley
- Center for Immuno-Oncology, Center for Cancer Research, NCI, NIH, Bethesda, MD, USA
| | - Molly A Ingersoll
- Université Paris Cité, Institut Cochin, INSERM U1016, CNRS UMR 8104, Paris, 75014, France; Mucosal Inflammation and Immunity, Department of Immunology, Institut Pasteur, 75015 Paris, France
| | - Ashish M Kamat
- Department of Urology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wassim Kassouf
- Division of Urology, McGill University Health Center, Montreal, QC, Canada
| | - D Robert Siemens
- Department of Urology, Queen's University School of Medicine, Kingston, ON, Canada
| | - Jianjun Gao
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Hessey S, Fessas P, Zaccaria S, Jamal-Hanjani M, Swanton C. Insights into the metastatic cascade through research autopsies. Trends Cancer 2023; 9:490-502. [PMID: 37059687 DOI: 10.1016/j.trecan.2023.03.002] [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: 02/02/2023] [Revised: 03/05/2023] [Accepted: 03/07/2023] [Indexed: 04/16/2023]
Abstract
Metastasis is a complex process and the leading cause of cancer-related death globally. Recent studies have demonstrated that genomic sequencing data from paired primary and metastatic tumours can be used to trace the evolutionary origins of cells responsible for metastasis. This approach has yielded new insights into the genomic alterations that engender metastatic potential, and the mechanisms by which cancer spreads. Given that the reliability of these approaches is contingent upon how representative the samples are of primary and metastatic tumour heterogeneity, we review insights from studies that have reconstructed the evolution of metastasis within the context of their cohorts and designs. We discuss the role of research autopsies in achieving the comprehensive sampling necessary to advance the current understanding of metastasis.
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Affiliation(s)
- Sonya Hessey
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Petros Fessas
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK.
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
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47
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Felley-Bosco E. Exploring the Expression of the «Dark Matter» of the Genome in Mesothelioma for Potentially Predictive Biomarkers for Prognosis and Immunotherapy. Cancers (Basel) 2023; 15:cancers15112969. [PMID: 37296931 DOI: 10.3390/cancers15112969] [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: 04/15/2023] [Revised: 05/21/2023] [Accepted: 05/26/2023] [Indexed: 06/12/2023] Open
Abstract
Recent high-throughput RNA sequencing technologies have confirmed that a large part of the non-coding genome is transcribed. The priority for further investigations is nevertheless generally given in cancer to coding sequences, due to the obvious interest of finding therapeutic targets. In addition, several RNA-sequencing pipelines eliminate repetitive sequences, which are difficult to analyze. In this review, we shall focus on endogenous retroviruses. These sequences are remnants of ancestral germline infections by exogenous retroviruses. These sequences represent 8% of human genome, meaning four-fold the fraction of the genome encoding for proteins. These sequences are generally mostly repressed in normal adult tissues, but pathological conditions lead to their de-repression. Specific mesothelioma-associated endogenous retrovirus expression and their association to clinical outcome is discussed.
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Affiliation(s)
- Emanuela Felley-Bosco
- Laboratory of Molecular Oncology, Department of Thoracic Surgery, Zürich University Hospital, 8091 Zurich, Switzerland
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48
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Hui Z, Ren Y, Zhang D, Chen Y, Yu W, Cao J, Liu L, Wang T, Xiao S, Zheng L, Pu Y, Wei F, You J, Ren X. PD-1 blockade potentiates neoadjuvant chemotherapy in NSCLC via increasing CD127 + and KLRG1 + CD8 T cells. NPJ Precis Oncol 2023; 7:48. [PMID: 37231145 DOI: 10.1038/s41698-023-00384-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 05/03/2023] [Indexed: 05/27/2023] Open
Abstract
The combination of PD-1 blockade with neoadjuvant chemotherapy (NAC) has achieved unprecedented clinical success in non-small cell lung cancer (NSCLC) compared to NAC alone, but the underlying mechanisms by which PD-1 blockade augments the effects of chemotherapy remain incompletely elucidated. Single-cell RNA sequencing was performed on CD45+ immune cells isolated from surgically resected fresh tumors of seven NSCLC patients receiving NAC or neoadjuvant pembrolizumab and chemotherapy (NAPC). Multiplex fluorescent immunohistochemistry was performed on FFPE tissues before and after NAC or NAPC from 65 resectable NSCLC patients, and results were validated with GEO dataset. NAC resulted in an increase only of CD20+ B cells, whereas NAPC increased the infiltration of CD20+ B cells, CD4+ T cells, CD4+CD127+ T cells, CD8+ T cells, CD8+CD127+ and CD8+KLRG1+ T cells. Synergistic increase in B and T cells promotes favorable therapeutic response after NAPC. Spatial distribution analysis discovered that CD8+ T cells and their CD127+ and KLRG1+ subsets were in closer proximity to CD4+ T/CD20+ B cells in NAPC versus NAC. GEO dataset validated that B-cell, CD4, memory, and effector CD8 signatures correlated with therapeutic responses and clinical outcomes. The addition of PD-1 blockade to NAC promoted anti-tumor immunity through T and B cells recruitment in the tumor microenvironment and induced tumor-infiltrating CD8+ T cells skewed toward CD127+ and KLRG1+ phenotypes, which may be assisted by CD4+ T cells and B cells. Our comprehensive study identified key immune cell subsets exerting anti-tumor responses during PD-1 blockade therapy and that may be therapeutically targeted to improve upon existing immunotherapies for NSCLC.
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Affiliation(s)
- Zhenzhen Hui
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China
- Department of Biotherapy, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| | - Yulin Ren
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China
- Department of Immunology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| | - Dong Zhang
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China
- Department of Immunology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| | - Yulong Chen
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| | - Wenwen Yu
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China
- Department of Immunology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| | - Jie Cao
- Wake Forest University, Winston-Salem, NC, USA
| | - Liang Liu
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China
- Department of Biotherapy, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| | - Tao Wang
- Department of R&D, Hangzhou Repugene Technology Co., Ltd., Hangzhou, 311100, China
| | - Shanshan Xiao
- Department of R&D, Hangzhou Repugene Technology Co., Ltd., Hangzhou, 311100, China
| | - Liuqing Zheng
- Department of R&D, Hangzhou Repugene Technology Co., Ltd., Hangzhou, 311100, China
| | - Yue Pu
- Department of R&D, Hangzhou Repugene Technology Co., Ltd., Hangzhou, 311100, China
| | - Feng Wei
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China.
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China.
- Department of Immunology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
| | - Jian You
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China.
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China.
- Department of Lung Cancer, Tianjin Lung Cancer Center, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
| | - Xiubao Ren
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, 300060, China.
- Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, 300060, China.
- Department of Biotherapy, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
- Department of Immunology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
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Zhang T, Forde PM, Sullivan RJ, Sharon E, Barksdale E, Selig W, Ebbinghaus S, Fusaro G, Gunenc D, Battle D, Burns R, Hurlbert MS, Stewart M, Atkins MB. Addressing resistance to PD-1/PD-(L)1 pathway inhibition: considerations for combinatorial clinical trial designs. J Immunother Cancer 2023; 11:jitc-2022-006555. [PMID: 37137552 PMCID: PMC10163527 DOI: 10.1136/jitc-2022-006555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2023] [Indexed: 05/05/2023] Open
Abstract
With multiple PD-(L)1 inhibitors approved across dozens of indications by the US Food and Drug Administration, the number of patients exposed to these agents in adjuvant, first-line metastatic, second-line metastatic, and refractory treatment settings is increasing rapidly. Although some patients will experience durable benefit, many have either no clinical response or see their disease progress following an initial response to therapy. There is a significant need to identify therapeutic approaches to overcome resistance and confer clinical benefits for these patients. PD-1 pathway blockade has the longest history of use in melanoma, non-small cell lung cancer (NSCLC), and renal cell carcinoma (RCC). Therefore, these settings also have the most extensive clinical experience with resistance. In 2021, six non-profit organizations representing patients with these diseases undertook a year-long effort, culminating in a 2-day workshop (including academic, industry, and regulatory participants) to understand the challenges associated with developing effective therapies for patients previously exposed to anti-PD-(L)1 agents and outline recommendations for designing clinical trials in this setting. This manuscript presents key discussion themes and positions reached through this effort, with a specific focus on the topics of eligibility criteria, comparators, and endpoints, as well as tumor-specific trial design options for combination therapies designed to treat patients with melanoma, NSCLC, or RCC after prior PD-(L)1 pathway blockade.
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Affiliation(s)
- Tian Zhang
- Department of Internal Medicine, Division of Hematology and Oncology, UT Southwestern, Dallas, Texas, USA
| | - Patrick M Forde
- Johns Hopkins Kimmel Cancer Center, Baltimore, Maryland, USA
| | - Ryan J Sullivan
- Department of Medicine, Massachusetts General Hospital Cancer Center, Boston, Massachusetts, USA
| | - Elad Sharon
- Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, Maryland, USA
| | | | | | | | - Gina Fusaro
- Bristol-Myers Squibb Co Summit, Summit, New Jersey, USA
| | - Damla Gunenc
- Department of Internal Medicine, Division of Hematology and Oncology, UT Southwestern, Dallas, Texas, USA
| | - Dena Battle
- Kidney Cancer Research Alliance, Alexandria, Virginia, USA
| | - Robyn Burns
- Melanoma Research Foundation, Washington, District of Columbia, USA
| | - Marc S Hurlbert
- Melanoma Research Alliance, Washington, District of Columbia, USA
| | - Mark Stewart
- Friends of Cancer Research, Washington, District of Columbia, USA
| | - Michael B Atkins
- Georgetown Lombardi Comprehensive Cancer Center, Washington, District of Columbia, USA
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50
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Aoki T, Steidl C. Novel insights into Hodgkin lymphoma biology by single-cell analysis. Blood 2023; 141:1791-1801. [PMID: 36548960 PMCID: PMC10646771 DOI: 10.1182/blood.2022017147] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/15/2022] [Accepted: 12/21/2022] [Indexed: 12/24/2022] Open
Abstract
The emergence and rapid development of single-cell technologies mark a paradigm shift in cancer research. Various technology implementations represent powerful tools to understand cellular heterogeneity, identify minor cell populations that were previously hard to detect and define, and make inferences about cell-to-cell interactions at single-cell resolution. Applied to lymphoma, recent advances in single-cell RNA sequencing have broadened opportunities to delineate previously underappreciated heterogeneity of malignant cell differentiation states and presumed cell of origin, and to describe the composition and cellular subsets in the ecosystem of the tumor microenvironment (TME). Clinical deployment of an expanding armamentarium of immunotherapy options that rely on targets and immune cell interactions in the TME emphasizes the requirement for a deeper understanding of immune biology in lymphoma. In particular, classic Hodgkin lymphoma (CHL) can serve as a study paradigm because of its unique TME, featuring infrequent tumor cells among numerous nonmalignant immune cells with significant interpatient and intrapatient variability. Synergistic to advances in single-cell sequencing, multiplexed imaging techniques have added a new dimension to describing cellular cross talk in various lymphoma entities. Here, we comprehensively review recent progress using novel single-cell technologies with an emphasis on the TME biology of CHL as an application field. The described technologies, which are applicable to peripheral blood, fresh tissues, and formalin-fixed samples, hold the promise to accelerate biomarker discovery for novel immunotherapeutic approaches and to serve as future assay platforms for biomarker-informed treatment selection, including immunotherapies.
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Affiliation(s)
- Tomohiro Aoki
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Christian Steidl
- Centre for Lymphoid Cancer, British Columbia Cancer, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
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