1
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Wang Y, Li D, Xun J, Wu Y, Wang HL. Construction of prognostic markers for gastric cancer and comprehensive analysis of pyroptosis-related long non-coding RNAs. World J Gastrointest Surg 2024; 16:2281-2295. [DOI: 10.4240/wjgs.v16.i7.2281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/22/2024] [Accepted: 06/14/2024] [Indexed: 07/22/2024] Open
Abstract
BACKGROUND China's most frequent malignancy is gastric cancer (GC), which has a very poor survival rate, and the survival rate for patients with advanced GC is dismal. Pyroptosis has been connected to the genesis and development of cancer. The function of pyroptosis-related long non-coding RNAs (PRLs) in GC, on the other hand, remains uncertain.
AIM To explore the construction and comprehensive analysis of the prognostic characteristics of long non-coding RNA (lncRNA) related to pyroptosis in GC patients.
METHODS The TCGA database provided us with 352 stomach adenocarcinoma samples, and we obtained 28 pyroptotic genes from the Reactome database. We examined the correlation between lncRNAs and pyroptosis using the Pearson correlation coefficient. Prognosis-related PRLs were identified through univariate Cox analysis. A predictive signature was constructed using stepwise Cox regression analysis, and its reliability and independence were assessed. To facilitate clinical application, a nomogram was created based on this signature. we analyzed differences in immune cell infiltration, immune function, and checkpoints between the high-risk group (HRG) and low-risk group (LRG).
RESULTS Five hundred and twenty-three PRLs were screened from all lncRNAs (absolute correlation coefficient > 0.4, P < 0.05). Nine PRLs were included in the risk prediction signature that was created through stepwise Cox regression analysis. We determined the risk score for GC patients and employed the median value as the dividing line between HRG and LRG. The ability of the risk signature to predict the overall survival (OS) of GC is demonstrated by the Kaplan-Meier analysis, risk curve, receiver operating characteristic curve, and decision curve analysis curve. The risk signature was shown to be an independent prognostic factor for OS in both univariate and multivariate Cox regression analyses. HRG showed a more efficient local immune response or modulation compared to LRG, as indicated by the predicted signal pathway analysis and examination of immune cell infiltration, function, and checkpoints (P < 0.05).
CONCLUSION In general, we have created a brand-new prognostic signature using PRLs, which may provide ideas for immunotherapy in patients with GC.
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Affiliation(s)
- Yu Wang
- Department of Gastrointestinal Surgery, Hospital of Integrated Chinese and Western Medicine, Tianjin University, Tianjin 300100, China
| | - Di Li
- Department of Gastrointestinal Surgery, Hospital of Integrated Chinese and Western Medicine, Tianjin University, Tianjin 300100, China
| | - Jing Xun
- Department of Gastrointestinal Surgery, Hospital of Integrated Chinese and Western Medicine, Tianjin University, Tianjin 300100, China
| | - Yu Wu
- Department of Gastrointestinal Surgery, Hospital of Integrated Chinese and Western Medicine, Tianjin University, Tianjin 300100, China
| | - Hong-Lei Wang
- Department of Gastrointestinal Surgery, Hospital of Integrated Chinese and Western Medicine, Tianjin University, Tianjin 300100, China
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2
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Tanegashima T, Shiota M, Fujiyama N, Narita S, Habuchi T, Fukuchi G, Takamatsu D, Oda Y, Miyake H, Takahashi M, Oya M, Tsuchiya N, Masumori N, Matsuyama H, Obara W, Shinohara N, Fujimoto K, Nozawa M, Ohba K, Ohyama C, Hashine K, Akamatsu S, Kamba T, Mita K, Gotoh M, Tatarano S, Fujisawa M, Tomita Y, Mukai S, Ito K, Tokunaga S, Eto M. Effect of HLA Genotype on Anti-PD-1 Antibody Treatment for Advanced Renal Cell Carcinoma in the SNiP-RCC Study. JOURNAL OF IMMUNOLOGY (BALTIMORE, MD. : 1950) 2024; 213:23-28. [PMID: 38758119 PMCID: PMC11212726 DOI: 10.4049/jimmunol.2300308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 04/16/2024] [Indexed: 05/18/2024]
Abstract
Immune checkpoint blockade therapies are widely used for cancer treatment, including advanced renal cell carcinoma (RCC). This study aimed to investigate the impact of zygosity in HLA genes and individual HLA genotypes on the efficacy of an anti-PD-1 Ab, nivolumab, in treating advanced RCC. Patient enrollment was conducted across 23 institutions in Japan from August 19, 2019, to September 30, 2020, with follow-up concluding on March 31, 2021. HLA genotype imputation of HLA-A, B, and C, DQB1, and DRB1 loci was performed. Among 222 patients, the presence of at least one homozygosity of the HLA-II allele significantly improved the best objective response (hazard ratio, 0.34; 95% confidence interval, 0.21-0.96; p = 0.042). The HLA evolutionary divergence (HED) of the HLA-A and HLA-B loci was higher than the HLA-C (p < 0.0001 and p < 0.0001, respectively), with high HED of the HLA-B locus correlating to clinical benefits in nivolumab treatment (hazard ratio, 0.44; 95% confidence interval, 0.21-0.90; p = 0.024) and improving cancer-specific survival compared with the low group (p = 0.0202). Additionally, high HED of the HLA-B locus was correlated with the number of infiltrated CD8+ cells in the tumor microenvironment (correlation coefficient, 0.4042). These findings indicate that the diversity of the HLA-B locus plays a significant role in the anti-tumor effect of nivolumab treatment in advanced RCC, potentially offering insights for improved risk stratification in nivolumab treatment and leading to better medical management of advanced RCC.
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Affiliation(s)
- Tokiyoshi Tanegashima
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Nobuhiro Fujiyama
- Center for Kidney Disease and Transplantation, Akita University Hospital, Akita, Japan
| | - Shintaro Narita
- Department of Urology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Tomonori Habuchi
- Department of Urology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Genshiro Fukuchi
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Dai Takamatsu
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoshinao Oda
- Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hideaki Miyake
- Department of Urology, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Masayuki Takahashi
- Department of Urology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Tokyo, Japan
| | - Norihiko Tsuchiya
- Department of Urology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Naoya Masumori
- Department of Urology, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Hideyasu Matsuyama
- Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Wataru Obara
- Department of Urology, Iwate Medical University School of Medicine, Iwate, Japan
| | - Nobuo Shinohara
- Department of Renal and Genitourinary Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | | | - Masahiro Nozawa
- Department of Urology, Kindai University Faculty of Medicine, Osaka, Japan
| | - Kojiro Ohba
- Department of Urology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Chikara Ohyama
- Department of Urology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Katsuyoshi Hashine
- Department of Urology, National Hospital Organization Shikoku Cancer Center, Ehime, Japan
| | - Shusuke Akamatsu
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomomi Kamba
- Department of Urology, Graduate School of Medical Sciences, Kumamoto University, Kumamoto Japan
| | - Koji Mita
- Department of Urology, Hiroshima City Asa Citizens Hospital, Hiroshima, Japan
| | - Momokazu Gotoh
- Department of Urology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Shuichi Tatarano
- Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Masato Fujisawa
- Department of Urology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Yoshihiko Tomita
- Department of Urology and Molecular Oncology, Graduate School of Medicine and Dental Sciences, Niigata University, Niigata, Japan
| | - Shoichiro Mukai
- Department of Urology, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan
| | - Keiichi Ito
- Department of Urology, National Defense Medical College, Saitama, Japan
| | - Shoji Tokunaga
- Medical Information Center, Kyushu University Hospital, Fukuoka, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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3
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Hossain SM, Carpenter C, Eccles MR. Genomic and Epigenomic Biomarkers of Immune Checkpoint Immunotherapy Response in Melanoma: Current and Future Perspectives. Int J Mol Sci 2024; 25:7252. [PMID: 39000359 PMCID: PMC11241335 DOI: 10.3390/ijms25137252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 06/25/2024] [Accepted: 06/26/2024] [Indexed: 07/16/2024] Open
Abstract
Immune checkpoint inhibitors (ICIs) demonstrate durable responses, long-term survival benefits, and improved outcomes in cancer patients compared to chemotherapy. However, the majority of cancer patients do not respond to ICIs, and a high proportion of those patients who do respond to ICI therapy develop innate or acquired resistance to ICIs, limiting their clinical utility. The most studied predictive tissue biomarkers for ICI response are PD-L1 immunohistochemical expression, DNA mismatch repair deficiency, and tumour mutation burden, although these are weak predictors of ICI response. The identification of better predictive biomarkers remains an important goal to improve the identification of patients who would benefit from ICIs. Here, we review established and emerging biomarkers of ICI response, focusing on epigenomic and genomic alterations in cancer patients, which have the potential to help guide single-agent ICI immunotherapy or ICI immunotherapy in combination with other ICI immunotherapies or agents. We briefly review the current status of ICI response biomarkers, including investigational biomarkers, and we present insights into several emerging and promising epigenomic biomarker candidates, including current knowledge gaps in the context of ICI immunotherapy response in melanoma patients.
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Affiliation(s)
- Sultana Mehbuba Hossain
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand; (S.M.H.); (C.C.)
- Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland 1010, New Zealand
| | - Carien Carpenter
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand; (S.M.H.); (C.C.)
| | - Michael R. Eccles
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin 9016, New Zealand; (S.M.H.); (C.C.)
- Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland 1010, New Zealand
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4
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Roshan-Zamir M, Khademolhosseini A, Rajalingam K, Ghaderi A, Rajalingam R. The genomic landscape of the immune system in lung cancer: present insights and continuing investigations. Front Genet 2024; 15:1414487. [PMID: 38983267 PMCID: PMC11231382 DOI: 10.3389/fgene.2024.1414487] [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: 04/09/2024] [Accepted: 06/07/2024] [Indexed: 07/11/2024] Open
Abstract
Lung cancer is one of the most prevalent malignancies worldwide, contributing to over a million cancer-related deaths annually. Despite extensive research investigating the genetic factors associated with lung cancer susceptibility and prognosis, few studies have explored genetic predispositions regarding the immune system. This review discusses the most recent genomic findings related to the susceptibility to or protection against lung cancer, patient survival, and therapeutic responses. The results demonstrated the effect of immunogenetic variations in immune system-related genes associated with innate and adaptive immune responses, cytokine, and chemokine secretions, and signaling pathways. These genetic diversities may affect the crosstalk between tumor and immune cells within the tumor microenvironment, influencing cancer progression, invasion, and prognosis. Given the considerable variability in the individual immunegenomics profiles, future studies should prioritize large-scale analyses to identify potential genetic variations associated with lung cancer using highthroughput technologies across different populations. This approach will provide further information for predicting response to targeted therapy and promotes the development of new measures for individualized cancer treatment.
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Affiliation(s)
- Mina Roshan-Zamir
- School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Aida Khademolhosseini
- School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Kavi Rajalingam
- Cowell College, University of California, Santa Cruz, Santa Cruz, CA, United States
| | - Abbas Ghaderi
- School of Medicine, Shiraz Institute for Cancer Research, Shiraz University of Medical Sciences, Shiraz, Iran
- Department of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Raja Rajalingam
- Immunogenetics and Transplantation Laboratory, University of California San Francisco, San Francisco, CA, United States
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5
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Chang TG, Cao Y, Sfreddo HJ, Dhruba SR, Lee SH, Valero C, Yoo SK, Chowell D, Morris LGT, Ruppin E. LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features. NATURE CANCER 2024:10.1038/s43018-024-00772-7. [PMID: 38831056 DOI: 10.1038/s43018-024-00772-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 04/24/2024] [Indexed: 06/05/2024]
Abstract
Despite the revolutionary impact of immune checkpoint blockade (ICB) in cancer treatment, accurately predicting patient responses remains challenging. Here, we analyzed a large dataset of 2,881 ICB-treated and 841 non-ICB-treated patients across 18 solid tumor types, encompassing a wide range of clinical, pathologic and genomic features. We developed a clinical score called LORIS (logistic regression-based immunotherapy-response score) using a six-feature logistic regression model. LORIS outperforms previous signatures in predicting ICB response and identifying responsive patients even with low tumor mutational burden or programmed cell death 1 ligand 1 expression. LORIS consistently predicts patient objective response and short-term and long-term survival across most cancer types. Moreover, LORIS showcases a near-monotonic relationship with ICB response probability and patient survival, enabling precise patient stratification. As an accurate, interpretable method using a few readily measurable features, LORIS may help improve clinical decision-making in precision medicine to maximize patient benefit. LORIS is available as an online tool at https://loris.ccr.cancer.gov/ .
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Affiliation(s)
- Tian-Gen Chang
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Yingying Cao
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Hannah J Sfreddo
- Department of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Saugato Rahman Dhruba
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Se-Hoon Lee
- Department of Health Sciences and Technology, Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University, Seoul, South Korea
| | - Cristina Valero
- Department of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Seong-Keun Yoo
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Diego Chowell
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Luc G T Morris
- Department of Surgery and Cancer Immunogenomics Research Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA.
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6
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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; 30:1667-1679. [PMID: 38773341 DOI: 10.1038/s41591-024-02978-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 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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7
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Konen JM, Wu H, Gibbons DL. Immune checkpoint blockade resistance in lung cancer: emerging mechanisms and therapeutic opportunities. Trends Pharmacol Sci 2024; 45:520-536. [PMID: 38744552 PMCID: PMC11189143 DOI: 10.1016/j.tips.2024.04.006] [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: 02/13/2024] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 05/16/2024]
Abstract
Immune checkpoint blockade (ICB) therapy works by inhibiting suppressive checkpoints that become upregulated after T cell activation, like PD-1/PD-L1 and CTLA-4. While the initial FDA approvals of ICB have revolutionized cancer therapies and fueled a burgeoning immuno-oncology field, more recent clinical development of new agents has been slow. Here, focusing on lung cancer, we review the latest research uncovering tumor cell intrinsic and extrinsic ICB resistance mechanisms as major hurdles to treatment efficacy and clinical progress. These include genomic and non-genomic tumor cell alterations, along with host and microenvironmental factors like the microbiome, metabolite accumulation, and hypoxia. Together, these factors can cooperate to promote immunosuppression and ICB resistance. Opportunities to prevent resistance are constantly evolving in this rapidly expanding field, with the goal of moving toward personalized immunotherapeutic regimens.
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Affiliation(s)
- Jessica M Konen
- Department of Hematology and Medical Oncology, Emory University, Atlanta, GA, USA.
| | - Haoyi Wu
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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8
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Zhang Z, Hu Q, Yang C, Chen M, Han B. Comparison of human leukocyte antigen in patients with paroxysmal nocturnal hemoglobinuria of different clone sizes. Ann Hematol 2024; 103:1897-1907. [PMID: 38616191 DOI: 10.1007/s00277-024-05740-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 04/01/2024] [Indexed: 04/16/2024]
Abstract
Glycosylphosphatidylinositol-anchored protein-deficient hematopoietic stem and progenitor cell development caused by PIGA mutations cannot fully explain the pathogenesis of paroxysmal nocturnal hemoglobinuria (PNH). Herein, patients newly diagnosed with PNH at our hospital between April 2019 and April 2021 were recruited. The human leukocyte antigen (HLA) class I and II loci were analyzed, and patients were stratified by PNH clone sizes: small (< 50%) and large (≥ 50%). In 40 patients (29 males; 72.5%), the median PNH clone size was 72%. Thirteen (32.5%) and twenty-seven (67.5%) patients harbored small and large PNH clones, respectively. DRB1*15:01 and DQB1*06:02 had higher frequencies in patients with PNH than in healthy controls (adjusted P-value = 4.10 × 10-4 and 4.10 × 10-4, respectively). Whole HLA class I and II allele contributions differed (P = 0.046 and 0.065, not significant difference) when comparing patients with small and large PNH clones. B*13:01 and C*04:01 allelic frequencies were significantly higher in patients with small clones (P = 0.032 and P = 0.032, respectively). Patients with small clones had higher class II HLA evolutionary divergence (HED) (P = 0.041) and global class I and II HED (P = 0.019). In the entire cohort, 17 HLA aberrations were found in 11 (27.5%) patients. No significant differences in HLA aberrations were found between patients with small or large clones. In conclusion, patients with small clones tended to have a higher frequency of immune attack-associated alleles. A higher HED in patients with small clones may reflect a propensity for T cell-mediated autoimmunity. HLA aberrations were similar between patients with small and large clones.
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Affiliation(s)
- Zhuxin Zhang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Qinglin Hu
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Chen Yang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Miao Chen
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
| | - Bing Han
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Science, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
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9
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Bai X, Lawless AR, Czapla JA, Gerstberger SC, Park BC, Jung S, Johnson R, Yamazaki N, Ogata D, Umeda Y, Li C, Guo J, Flaherty KT, Nakamura Y, Namikawa K, Long GV, Menzies AM, Johnson DB, Sullivan RJ, Boland GM, Si L. Benefit, recurrence pattern, and toxicity to adjuvant anti-PD-1 monotherapy varies by ethnicity and melanoma subtype: An international multicenter cohort study. JAAD Int 2024; 15:105-114. [PMID: 38500872 PMCID: PMC10945245 DOI: 10.1016/j.jdin.2023.11.014] [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] [Accepted: 11/18/2023] [Indexed: 03/20/2024] Open
Abstract
Background Anti-Program-Death-1 (PD-1) is a standard adjuvant therapy for patients with resected melanoma. We hypothesized that there are discrepancies in survival, recurrence pattern and toxicity to adjuvant PD-1 between different ethnicities and melanoma subtypes. Objective We performed a multicenter cohort study incorporating 6 independent institutions in Australia, China, Japan, and the United States. The primary outcomes were recurrence free survival (RFS) and overall survival (OS). Secondary outcomes were disease recurrence patterns and toxicities. Results In total 534 patients were included. East-Asian/Hispanic/African reported significantly poorer RFS/OS. Nonacral cutaneous or melanoma of unknown primary reported the best RFS/OS, followed by acral, and mucosal was the poorest. Within the nonacral cutaneous or melanoma of unknown primary subtypes, East-Asian/Hispanic/African reported significantly poorer RFS/OS than Caucasian. In the multivariate analysis incorporating ethnicity/melanoma-subtype/age/sex/stage/lactate dehydrogenase/BRAF (v-Raf murine sarcoma viral oncogene homolog B)-mutation/adjuvant radiotherapy, East-Asian/Hispanic/African had independently significantly poorer outcomes (RFS: HR, 1.71; 95% CI, 1.19-2.44 and OS: HR, 2.34; 95% CI, 1.39-3.95), as was mucosal subtype (RFS: HR, 3.25; 95% CI, 2.04-5.17 and OS: HR, 3.20; 95% CI, 1.68-6.08). Mucosal melanoma was an independent risk factor for distant metastasis, especially liver metastasis. East-Asian/Hispanic/African had significantly lower incidence of gastrointestinal/musculoskeletal/respiratory/other-rare-type-toxicities; but higher incidences of liver toxicities. Limitations A retrospective study. Conclusions Ethnicity and melanoma subtype are associated with survival and recurrence pattern in melanoma patients treated with adjuvant anti-PD-1. Toxicity profile differs by ethnicity and may require a precision toxicity surveillance strategy.
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Affiliation(s)
- Xue Bai
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital and Institute, Beijing, China
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Aleigha R. Lawless
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Juliane A. Czapla
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | | | - Benjamin C. Park
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Seungyeon Jung
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Rebecca Johnson
- Melanoma Institute Australia, The University of Sydney, Faculty of Medicine and Health, The University of Sydney, and Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Naoya Yamazaki
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Dai Ogata
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Yoshiyasu Umeda
- Department of Skin Oncology/Dermatology, Comprehensive Cancer Center, Saitama Medical University International Medical Center, Saitama, Japan
| | - Caili Li
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Jun Guo
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital and Institute, Beijing, China
| | - Keith T. Flaherty
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Yasuhiro Nakamura
- Department of Skin Oncology/Dermatology, Comprehensive Cancer Center, Saitama Medical University International Medical Center, Saitama, Japan
| | - Kenjiro Namikawa
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Georgina V. Long
- Melanoma Institute Australia, The University of Sydney, Faculty of Medicine and Health, The University of Sydney, and Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Alexander M. Menzies
- Melanoma Institute Australia, The University of Sydney, Faculty of Medicine and Health, The University of Sydney, and Department of Medical Oncology, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Douglas B. Johnson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ryan J. Sullivan
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, Massachusetts
| | - Genevieve M. Boland
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Masssachusetts
| | - Lu Si
- Department of Melanoma and Sarcoma, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Peking University Cancer Hospital and Institute, Beijing, China
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10
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Féray C, Allain V, Desterke C, Roche B, Coilly A, Caillat-Zucman S. HLA-DQ Diversity Is Associated With Humoral Response to Vaccines in Patients Awaiting or After Liver Transplantation. Gastroenterology 2024; 166:915-917.e3. [PMID: 38215998 DOI: 10.1053/j.gastro.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 12/22/2023] [Accepted: 01/07/2024] [Indexed: 01/14/2024]
Affiliation(s)
- Cyrille Féray
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France.
| | - Vincent Allain
- Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université de Paris, Laboratoire d'Immunologie et Histocompatibilité, Paris, France; INSERM UMR976, Université de Paris, Paris, France
| | - Christophe Desterke
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France
| | - Bruno Roche
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France
| | - Audrey Coilly
- Centre Hépato-Biliaire, Assistance Publique-Hôpitaux de Paris, Hôpital Paul-Brousse, Villejuif, France; Université Paris-Saclay, UMR-S 1193 INSERM, FHU Hepatinov, Villejuif, France
| | - Sophie Caillat-Zucman
- Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris, Université de Paris, Laboratoire d'Immunologie et Histocompatibilité, Paris, France; INSERM UMR976, Université de Paris, Paris, France
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11
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Kubo T, Asano S, Sasaki K, Murata K, Kanaseki T, Tsukahara T, Hirohashi Y, Torigoe T. Assessment of cancer cell-expressed HLA class I molecules and their immunopathological implications. HLA 2024; 103:e15472. [PMID: 38699870 DOI: 10.1111/tan.15472] [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: 01/11/2024] [Revised: 02/27/2024] [Accepted: 03/27/2024] [Indexed: 05/05/2024]
Abstract
Immunotherapy using immune checkpoint inhibitors (ICIs) has shown superior efficacy compared with conventional chemotherapy in certain cancer types, establishing immunotherapy as the fourth standard treatment alongside surgical intervention, chemotherapy, and radiotherapy. In cancer immunotherapy employing ICIs, CD8-positive cytotoxic T lymphocytes are recognized as the primary effector cells. For effective clinical outcomes, it is essential that the targeted cancer cells express HLA class I molecules to present antigenic peptides derived from the tumor. However, cancer cells utilize various mechanisms to downregulate or lose HLA class I molecules from their surface, resulting in evasion from immune surveillance. Correlations between prognosis and the integrity of HLA class I molecules expressed by cancer cells have been consistently found across different types of cancer. This paper provides an overview of the regulatory mechanisms of HLA class I molecules and their role in cancer immunotherapy, with a particular emphasis on the significance of utilizing pathological tissues to evaluate HLA class I molecules expressed in cancer cells.
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Affiliation(s)
- Terufumi Kubo
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
| | - Shiori Asano
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
| | - Kenta Sasaki
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
| | - Kenji Murata
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
| | - Takayuki Kanaseki
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
| | - Tomohide Tsukahara
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
| | - Yoshihiko Hirohashi
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
| | - Toshihiko Torigoe
- Department of Pathology, School of Medicine, Sapporo Medical University, Sapporo, Japan
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12
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Wilson E, Cava JK, Chowell D, Raja R, Mangalaparthi KK, Pandey A, Curtis M, Anderson KS, Singharoy A. The electrostatic landscape of MHC-peptide binding revealed using inception networks. Cell Syst 2024; 15:362-373.e7. [PMID: 38554709 DOI: 10.1016/j.cels.2024.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 11/24/2023] [Accepted: 03/05/2024] [Indexed: 04/02/2024]
Abstract
Predictive modeling of macromolecular recognition and protein-protein complementarity represents one of the cornerstones of biophysical sciences. However, such models are often hindered by the combinatorial complexity of interactions at the molecular interfaces. Exemplary of this problem is peptide presentation by the highly polymorphic major histocompatibility complex class I (MHC-I) molecule, a principal component of immune recognition. We developed human leukocyte antigen (HLA)-Inception, a deep biophysical convolutional neural network, which integrates molecular electrostatics to capture non-bonded interactions for predicting peptide binding motifs across 5,821 MHC-I alleles. These predictions of generated motifs correlate strongly with experimental peptide binding and presentation data. Beyond molecular interactions, the study demonstrates the application of predicted motifs in analyzing MHC-I allele associations with HIV disease progression and patient response to immune checkpoint inhibitors. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Eric Wilson
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85207, USA; The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - John Kevin Cava
- School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85207, USA
| | - Diego Chowell
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Remya Raja
- Department of Immunology, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Kiran K Mangalaparthi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA; Center for Individualized Medicine, Mayo Clinic, 200 First St SW, Rochester, MN 55905, USA; Manipal Academy of Higher Education, Manipal 576104, Karnataka, India
| | - Marion Curtis
- Department of Immunology, Mayo Clinic, Scottsdale, AZ 85259, USA; College of Medicine and Science, Mayo Clinic, Scottsdale, AZ 85259, USA; Department of Cancer Biology, Mayo Clinic, Scottsdale, AZ 85259, USA
| | - Karen S Anderson
- School of Life Sciences, Arizona State University, Tempe, AZ 85207, USA.
| | - Abhishek Singharoy
- School of Molecular Sciences, Arizona State University, Tempe, AZ 85207, USA.
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13
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Passaro A, Al Bakir M, Hamilton EG, Diehn M, André F, Roy-Chowdhuri S, Mountzios G, Wistuba II, Swanton C, Peters S. Cancer biomarkers: Emerging trends and clinical implications for personalized treatment. Cell 2024; 187:1617-1635. [PMID: 38552610 PMCID: PMC7616034 DOI: 10.1016/j.cell.2024.02.041] [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: 12/13/2023] [Revised: 02/21/2024] [Accepted: 02/28/2024] [Indexed: 04/02/2024]
Abstract
The integration of cancer biomarkers into oncology has revolutionized cancer treatment, yielding remarkable advancements in cancer therapeutics and the prognosis of cancer patients. The development of personalized medicine represents a turning point and a new paradigm in cancer management, as biomarkers enable oncologists to tailor treatments based on the unique molecular profile of each patient's tumor. In this review, we discuss the scientific milestones of cancer biomarkers and explore future possibilities to improve the management of patients with solid tumors. This progress is primarily attributed to the biological characterization of cancers, advancements in testing methodologies, elucidation of the immune microenvironment, and the ability to profile circulating tumor fractions. Integrating these insights promises to continually advance the precision oncology field, fostering better patient outcomes.
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Affiliation(s)
- Antonio Passaro
- Division of Thoracic Oncology, European Institute of Oncology IRCCS, Milan, Italy
| | - Maise Al Bakir
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Emily G Hamilton
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Fabrice André
- Gustave-Roussy Cancer Center, Paris Saclay University, Villejuif, France
| | - Sinchita Roy-Chowdhuri
- Department of Anatomic Pathology and Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Giannis Mountzios
- Fourth Department of Medical Oncology and Clinical Trials Unit, Henry Dunant Hospital Center, Athens, Greece
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK; Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK
| | - Solange Peters
- Department of Oncology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland.
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14
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Ding XH, Xiao Y, Chen F, Liu CL, Fu T, Shao ZM, Jiang YZ. The HLA-I landscape confers prognosis and antitumor immunity in breast cancer. Brief Bioinform 2024; 25:bbae151. [PMID: 38602320 PMCID: PMC11007120 DOI: 10.1093/bib/bbae151] [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: 11/08/2023] [Revised: 02/12/2024] [Accepted: 03/19/2024] [Indexed: 04/12/2024] Open
Abstract
Breast cancer is a highly heterogeneous disease with varied subtypes, prognoses and therapeutic responsiveness. Human leukocyte antigen class I (HLA-I) shapes the immunity and thereby influences the outcome of breast cancer. However, the implications of HLA-I variations in breast cancer remain poorly understood. In this study, we established a multiomics cohort of 1156 Chinese breast cancer patients for HLA-I investigation. We calculated four important HLA-I indicators in each individual, including HLA-I expression level, somatic HLA-I loss of heterozygosity (LOH), HLA-I evolutionary divergence (HED) and peptide-binding promiscuity (Pr). Then, we evaluated their distribution and prognostic significance in breast cancer subtypes. We found that the four breast cancer subtypes had distinct features of HLA-I indicators. Increased expression of HLA-I and LOH were enriched in triple-negative breast cancer (TNBC), while Pr was relatively higher in hot tumors within TNBCs. In particular, a higher Pr indicated a better prognosis in TNBCs by regulating the infiltration of immune cells and the expression of immune molecules. Using the matched genomic and transcriptomic data, we found that mismatch repair deficiency-related mutational signature and pathways were enriched in low-Pr TNBCs, suggesting that targeting mismatch repair deficiency for synthetic lethality might be promising therapy for these patients. In conclusion, we presented an overview of HLA-I indicators in breast cancer and provided hints for precision treatment for low-Pr TNBCs.
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Affiliation(s)
- Xiao-Hong Ding
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Yi Xiao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Fenfang Chen
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
| | - Cheng-Lin Liu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
| | - Tong Fu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
| | - Yi-Zhou Jiang
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Fudan University, Shanghai, 200032, P.R. China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, P.R. China
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15
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Wang X, Lamberti G, Di Federico A, Alessi J, Ferrara R, Sholl ML, Awad MM, Vokes N, Ricciuti B. Tumor mutational burden for the prediction of PD-(L)1 blockade efficacy in cancer: challenges and opportunities. Ann Oncol 2024:S0923-7534(24)00084-X. [PMID: 38537779 DOI: 10.1016/j.annonc.2024.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/19/2024] [Accepted: 03/19/2024] [Indexed: 05/16/2024] Open
Abstract
Tumor mutational burden (TMB) is a biomarker that measures the number of somatic mutations in a tumor's genome. TMB has emerged as a predictor of response to immune checkpoint inhibitors (ICIs) in various cancer types, and several studies have shown that patients with high TMB have better outcomes when treated with programmed death-ligand 1-based therapies. Recently, the Food and Drug Administration has approved TMB as a companion diagnostic for the use of pembrolizumab in solid tumors. However, despite its potential, the use of TMB as a biomarker for immunotherapy efficacy is limited by several factors. Here we review the limitations of TMB in predicting immunotherapy outcomes in patients with cancer and discuss potential strategies to optimize its use in the clinic.
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Affiliation(s)
- X Wang
- Harvard T.H. Chan School of Public Health, Boston
| | - G Lamberti
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - A Di Federico
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - J Alessi
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - R Ferrara
- University Vita-Salute San Raffaele, Milan; Department of Medical Oncology, IRCCS San Raffaele, Milan, Italy
| | - M L Sholl
- Department of Pathology, Brigham and Women's Hospital, Boston
| | - M M Awad
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA
| | - N Vokes
- Department of Thoracic Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, USA
| | - B Ricciuti
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
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16
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Geng S, Guo P, Li X, Shi Y, Wang J, Cao M, Zhang Y, Zhang K, Li A, Song H, Zhang Z, Shi J, Liu J, Yang Y. Biomimetic Nanovehicle-Enabled Targeted Depletion of Intratumoral Fusobacterium nucleatum Synergizes with PD-L1 Blockade against Breast Cancer. ACS NANO 2024; 18:8971-8987. [PMID: 38497600 DOI: 10.1021/acsnano.3c12687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Immune checkpoint blockade (ICB) therapy has been approved for breast cancer (BC), but clinical response rates are limited. Recent studies have shown that commensal microbes colonize a variety of tumors and are closely related to the host immune system response. Here, we demonstrated that Fusobacterium nucleatum (F.n), which is prevalent in BC, creates an immunosuppressive tumor microenvironment (ITME) characterized by a high-influx of myeloid cells that hinders ICB therapy. Administering the antibiotic metronidazole in BC can deplete F.n and remodel the ITME. To prevent an imbalance in the systemic microbiota caused by antibiotic administration, we designed a biomimetic nanovehicle for on-site antibiotic delivery inspired by F.n homing to BC. Additionally, ferritin-nanocaged doxorubicin was coloaded into this nanovehicle, as immunogenic chemotherapy has shown potential for synergy with ICB. It has been demonstrated that this biomimetic nanovehicle can be precisely homed to BC and efficiently eliminate intratumoral F.n without disrupting the diversity and abundance of systemic microbiota. This ultimately remodels the ITME, improving the therapeutic efficacy of the PD-L1 blocker with a tumor inhibition rate of over 90% and significantly extending the median survival of 4T1 tumor-bearing mice.
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Affiliation(s)
- Shizhen Geng
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Pengke Guo
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Xinling Li
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Yaru Shi
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Jing Wang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Mengnian Cao
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Yunya Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Kaixiang Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Airong Li
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Haiwei Song
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Zhenzhong Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Jinjin Shi
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Junjie Liu
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Yiling Yang
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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17
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Krishna C, Tervi A, Saffern M, Wilson EA, Yoo SK, Mars N, Roudko V, Cho BA, Jones SE, Vaninov N, Selvan ME, Gümüş ZH, Lenz TL, Merad M, Boffetta P, Martínez-Jiménez F, Ollila HM, Samstein RM, Chowell D. An immunogenetic basis for lung cancer risk. Science 2024; 383:eadi3808. [PMID: 38386728 DOI: 10.1126/science.adi3808] [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: 04/21/2023] [Accepted: 01/16/2024] [Indexed: 02/24/2024]
Abstract
Cancer risk is influenced by inherited mutations, DNA replication errors, and environmental factors. However, the influence of genetic variation in immunosurveillance on cancer risk is not well understood. Leveraging population-level data from the UK Biobank and FinnGen, we show that heterozygosity at the human leukocyte antigen (HLA)-II loci is associated with reduced lung cancer risk in smokers. Fine-mapping implicated amino acid heterozygosity in the HLA-II peptide binding groove in reduced lung cancer risk, and single-cell analyses showed that smoking drives enrichment of proinflammatory lung macrophages and HLA-II+ epithelial cells. In lung cancer, widespread loss of HLA-II heterozygosity (LOH) favored loss of alleles with larger neopeptide repertoires. Thus, our findings nominate genetic variation in immunosurveillance as a critical risk factor for lung cancer.
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Affiliation(s)
- Chirag Krishna
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Anniina Tervi
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
| | - Miriam Saffern
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Eric A Wilson
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Seong-Keun Yoo
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Nina Mars
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
| | - Vladimir Roudko
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Byuri Angela Cho
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Samuel Edward Jones
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
| | - Natalie Vaninov
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Myvizhi Esai Selvan
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Zeynep H Gümüş
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, Universität Hamburg, 20146 Hamburg, Germany
| | - Miriam Merad
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Paolo Boffetta
- Department of Medical and Surgical Sciences, Alma Mater Studiorum University of Bologna, 40138 Bologna, Italy
- Stony Brook Cancer Center, Stony Brook University, New York, NY 11794, USA
| | - Francisco Martínez-Jiménez
- Vall d'Hebron Institute of Oncology, Barcelona 08035, Spain
- Hartwig Medical Foundation, Amsterdam 1098 XH, the Netherlands
| | - Hanna M Ollila
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Institute for Molecular Medicine, Finland (FIMM), HiLIFE, University of Helsinki, Helsinki 00290, Finland
- Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Robert M Samstein
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Radiation Oncology, Mount Sinai Hospital, New York, NY 10029, USA
| | - Diego Chowell
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Immunology and Immunotherapy, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Oncological Sciences, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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18
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Shiota M, Tanegashima T, Tatarano S, Kamoto T, Matsuyama H, Sakai H, Igawa T, Kamba T, Fujimoto N, Yokomizo A, Naito S, Eto M. The effect of human leukocyte antigen genotype on survival in advanced prostate cancer treated with primary androgen deprivation therapy: the KYUCOG-1401-A study. Prostate Cancer Prostatic Dis 2024:10.1038/s41391-024-00808-0. [PMID: 38368501 DOI: 10.1038/s41391-024-00808-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 02/02/2024] [Accepted: 02/08/2024] [Indexed: 02/19/2024]
Abstract
BACKGROUND Immune editing, in which human leukocyte antigens (HLA) have critical roles, has been suggested to shape the landscape of human cancer. This study prospectively investigated whether HLA gene zygosity is associated with the prognosis of primary androgen deprivation therapy in advanced prostate cancer. METHODS KYUCOG-1401-A was conducted in conjunction with a prospective clinical trial (KYUCOG-1401). Among the patients enrolled in KYUCOG-1401 and treated with primary androgen deprivation therapy, only Japanese patients were included. HLA genotypes of HLA-A, B, C, DRB1, DQB1, and DPB1 were determined. The effect of divergence of HLA genotypes on time to progression, prostate cancer-specific survival, and overall survival was evaluated. RESULTS Among 127 patients, homozygosity for HLA-DRB1 (HR, 95% CI; 4.05, 1.54-10.7, P = 0.0047) and HLA-DQB1 (HR, 95% CI; 3.75, 1.47-9.58, P = 0.0058) was associated with an increased risk of prostate cancer-specific mortality. Patients with higher HLA evolutionary divergence scores at HLA-DQB1 (HR, 95% CI; 0.90, 0.82-0.97, P = 0.0093) had lower risks of prostate cancer-specific mortality. Androgen-responsive gene sets were upregulated in CD4low and CD8low tumors in the prostate cancer cohort, but not in the bladder and kidney cancer cohorts. CONCLUSIONS This study suggested that the diversity of HLA-II loci including HLA-DRB1 and HLA-DQB1 plays an important role in advanced prostate cancer survival, contributing to improved risk stratification in advanced prostate cancer. Moreover, it was shown that CD4+ T cells play an important role in androgen deprivation therapy, suggesting that immunotherapy targeting CD4+ T cells is promising for prostate cancer.
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Affiliation(s)
- Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
| | - Tokiyoshi Tanegashima
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shuichi Tatarano
- Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Toshiyuki Kamoto
- Department of Urology, Faculty of Medicine, Miyazaki University, Miyazaki, Japan
| | - Hideyasu Matsuyama
- Department of Urology, Graduate School of Medicine, Yamaguchi University, Ube, Japan
| | - Hideki Sakai
- Department of Urology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan
| | - Tsukasa Igawa
- Department of Urology, School of Medicine, Kurume University, Kurume, Japan
| | - Tomomi Kamba
- Department of Urology, Kumamoto University, Kumamoto, Japan
| | - Naohiro Fujimoto
- Department of Urology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Akira Yokomizo
- Department of Urology, Harasanshin Hospital, Fukuoka, Japan
| | - Seiji Naito
- Department of Urology, Harasanshin Hospital, Fukuoka, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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19
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Paz-Ares L, Garassino MC, Chen Y, Reinmuth N, Hotta K, Poltoratskiy A, Trukhin D, Hochmair MJ, Özgüroğlu M, Ji JH, Statsenko G, Conev N, Bondarenko I, Havel L, Losonczy G, Xie M, Lai Z, Godin-Heymann N, Mann H, Jiang H, Shrestha Y, Goldman JW. Durvalumab ± Tremelimumab + Platinum-Etoposide in Extensive-Stage Small Cell Lung Cancer (CASPIAN): Outcomes by PD-L1 Expression and Tissue Tumor Mutational Burden. Clin Cancer Res 2024; 30:824-835. [PMID: 37801329 PMCID: PMC10870117 DOI: 10.1158/1078-0432.ccr-23-1689] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 08/17/2023] [Accepted: 10/03/2023] [Indexed: 10/07/2023]
Abstract
PURPOSE In the CASPIAN trial, first-line durvalumab plus platinum-etoposide (EP) significantly improved overall survival (OS) versus EP alone in extensive-stage small cell lung cancer (ES-SCLC). We report exploratory analyses of CASPIAN outcomes by programmed cell death ligand-1 (PD-L1) expression and tissue tumor mutational burden (tTMB). EXPERIMENTAL DESIGN Patients were randomized (1:1:1) to durvalumab (1,500 mg) plus EP, durvalumab plus tremelimumab (75 mg) plus EP, or EP alone. Treatment effects in PD-L1 and tTMB subgroups were estimated using an unstratified Cox proportional hazards model. RESULTS The PD-L1 and tTMB biomarker-evaluable populations (BEP) comprised 54.4% (438/805) and 35.2% (283/805) of the intention-to-treat population, respectively. PD-L1 prevalence was low: 5.7%, 25.8%, and 28.3% had PD-L1 expression on ≥1% tumor cells (TC), ≥1% immune cells (IC), and ≥1% TCs or ICs, respectively. OS benefit with durvalumab plus EP versus EP was similar across PD-L1 subgroups, with HRs all falling within the 95% confidence interval (CI) for the PD-L1 BEP (0.47‒0.79). OS benefit with durvalumab plus tremelimumab plus EP versus EP was greater in PD-L1 ≥1% versus <1% subgroups, although CIs overlapped. There was no evidence of an interaction between tTMB and treatment effect on OS (durvalumab plus EP vs. EP, P = 0.916; durvalumab plus tremelimumab plus EP vs. EP, P = 0.672). CONCLUSIONS OS benefit with first-line durvalumab plus EP in patients with ES-SCLC was observed regardless of PD-L1 or tTMB status. PD-L1 expression may prove to be a useful biomarker for combined treatment with PD-(L)1 and CTLA-4 inhibition, although this requires confirmation with an independent dataset. See related commentary by Rolfo and Russo, p. 652.
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Affiliation(s)
- Luis Paz-Ares
- Department of Medical Oncology, Hospital Universitario 12 de Octubre, Lung Cancer Unit CNIO-H120, Complutense University and Ciberonc, Madrid, Spain
| | - Marina Chiara Garassino
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Department of Medicine, Section of Hematology/Oncology, Thoracic Oncology Unit, University of Chicago, Chicago, Illinois
| | - Yuanbin Chen
- Cancer and Hematology Centers of Western Michigan, Grand Rapids, Michigan
| | - Niels Reinmuth
- Asklepios Lung Clinic, Member of the German Center for Lung Research (DZL), Munich-Gauting, Germany
| | | | - Artem Poltoratskiy
- Petrov Research Institute of Oncology, St. Petersburg, Russian Federation
| | | | - Maximilian J. Hochmair
- Karl Landsteiner Institute of Lung Research and Pulmonary Oncology, Klinik Floridsdorf, Vienna, Austria
| | - Mustafa Özgüroğlu
- Istanbul University−Cerrahpaşa, Cerrahpaşa School of Medicine, Istanbul, Turkey
| | - Jun Ho Ji
- Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Republic of South Korea
| | | | - Nikolay Conev
- Clinic of Medical Oncology, UMHAT St Marina, Varna, Bulgaria
| | | | - Libor Havel
- Thomayer Hospital, First Faculty of Medicine, Charles University, Prague, Czech Republic
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20
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Han J, Dong Y, Zhu X, Reuben A, Zhang J, Xu J, Bai H, Duan J, Wan R, Zhao J, Bai J, Xia X, Yi X, Cheng C, Wang J, Wang Z. Assessment of human leukocyte antigen-based neoantigen presentation to determine pan-cancer response to immunotherapy. Nat Commun 2024; 15:1199. [PMID: 38331912 PMCID: PMC10853168 DOI: 10.1038/s41467-024-45361-5] [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: 03/17/2023] [Accepted: 01/19/2024] [Indexed: 02/10/2024] Open
Abstract
Despite the central role of human leukocyte antigen class I (HLA-I) in tumor neoantigen presentation, quantitative determination of presentation capacity remains elusive. Based on a pooled pan-cancer genomic dataset of 885 patients treated with immune checkpoint inhibitors (ICIs), we developed a score integrating the binding affinity of neoantigens to HLA-I, as well as HLA-I allele divergence, termed the HLA tumor-Antigen Presentation Score (HAPS). Patients with a high HAPS were more likely to experience survival benefit following ICI treatment. Analysis of the tumor microenvironment indicated that the antigen presentation pathway was enriched in patients with a high HAPS. Finally, we built a neural network incorporating factors associated with neoantigen production, presentation, and recognition, which exhibited potential for differentiating cancer patients likely to benefit from ICIs. Our findings highlight the clinical utility of evaluating HLA-I tumor antigen presentation capacity and describe how ICI response may depend on HLA-mediated immunity.
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Affiliation(s)
- Jiefei Han
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
- Department of Neuro-oncology, Neurosurgery Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yiting Dong
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiuli Zhu
- Geneplus-Beijing Institute, Beijing, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA
| | - Jiachen Xu
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hua Bai
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jianchun Duan
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Rui Wan
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jie Zhao
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jing Bai
- Geneplus-Beijing Institute, Beijing, China
| | | | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Chao Cheng
- Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas, USA.
| | - Jie Wang
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Zhijie Wang
- State Key Laboratory of Molecular Oncology, CAMS Key Laboratory of Translational Research on Lung Cancer, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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21
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Pagliuca S, Ferraro F. Immune-driven clonal cell selection at the intersection among cancer, infections, autoimmunity and senescence. Semin Hematol 2024; 61:22-34. [PMID: 38341340 DOI: 10.1053/j.seminhematol.2024.01.002] [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: 11/25/2023] [Revised: 12/14/2023] [Accepted: 01/02/2024] [Indexed: 02/12/2024]
Abstract
Immune surveillance mechanisms play a crucial role in maintaining lifelong immune homeostasis in response to pathologic stimuli and aberrant cell states. However, their persistence, especially in the context of chronic antigenic exposure, can create a fertile ground for immune evasion. These escaping cell phenotypes, harboring a variety of genomic and transcriptomic aberrances, chiefly in human leukocyte antigen (HLA) and antigen presentation machinery genes, may survive and proliferate, featuring a scenario of clonal cell expansion with immune failure characteristics. While well characterized in solid and, to some extent, hematological malignancies, little is known about their occurrence and significance in other disease contexts. Historical literature highlights the role for escaping HLA-mediated recognition as a strategy adopted by virus to evade from the immune system, hinting at the potential for immune aberrant cell expansion in the context of chronic infections. Additionally, unmasked in idiopathic aplastic anemia as a mechanism able to rescue failing hematopoiesis, HLA clonal escape may operate in autoimmune disorders, particularly in tissues targeted by aberrant immune responses. Furthermore, senescent cell status emerging as immunogenic phenotypes stimulating T cell responses, may act as a bottleneck for the selection of such immune escaping clones, blurring the boundaries between neoplastic transformation, aging and inflammation. Here we provide a fresh overview and perspective on this immune-driven clonal cell expansion, linking pathophysiological features of neoplastic, autoimmune, infectious and senescence processes exposed to immune surveillance.
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Affiliation(s)
- Simona Pagliuca
- Hematology Department, Nancy University Hospital and UMR7365, IMoPA, University of Lorraine, Vandoeuvre-lès-Nancy, France.
| | - Francesca Ferraro
- Division of Oncology, Department of Internal Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO
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22
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Sverchkova A, Burkholz S, Rubsamen R, Stratford R, Clancy T. Integrative HLA typing of tumor and adjacent normal tissue can reveal insights into the tumor immune response. BMC Med Genomics 2024; 17:37. [PMID: 38281021 PMCID: PMC10821267 DOI: 10.1186/s12920-024-01808-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 01/12/2024] [Indexed: 01/29/2024] Open
Abstract
BACKGROUND The HLA complex is the most polymorphic region of the human genome, and its improved characterization can help us understand the genetics of human disease as well as the interplay between cancer and the immune system. The main function of HLA genes is to recognize "non-self" antigens and to present them on the cell surface to T cells, which instigate an immune response toward infected or transformed cells. While sequence variation in the antigen-binding groove of HLA may modulate the repertoire of immunogenic antigens presented to T cells, alterations in HLA expression can significantly influence the immune response to pathogens and cancer. METHODS RNA sequencing was used here to accurately genotype the HLA region and quantify and compare the level of allele-specific HLA expression in tumors and patient-matched adjacent normal tissue. The computational approach utilized in the study types classical and non-classical Class I and Class II HLA alleles from RNA-seq while simultaneously quantifying allele-specific or personalized HLA expression. The strategy also uses RNA-seq data to infer immune cell infiltration into tumors and the corresponding immune cell composition of matched normal tissue, to reveal potential insights related to T cell and NK cell interactions with tumor HLA alleles. RESULTS The genotyping method outperforms existing RNA-seq-based HLA typing tools for Class II HLA genotyping. Further, we demonstrate its potential for studying tumor-immune interactions by applying the method to tumor samples from two different subtypes of breast cancer and their matched normal breast tissue controls. CONCLUSIONS The integrative RNA-seq-based HLA typing approach described in the study, coupled with HLA expression analysis, neoantigen prediction and immune cell infiltration, may help increase our understanding of the interplay between a patient's tumor and immune system; and provide further insights into the immune mechanisms that determine a positive or negative outcome following treatment with immunotherapy such as checkpoint blockade.
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Affiliation(s)
- Angelina Sverchkova
- NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Scott Burkholz
- Flow Pharma, Inc, Warrensville Heights, Galaxy Parkway, OH, 4829, USA
| | - Reid Rubsamen
- Flow Pharma, Inc, Warrensville Heights, Galaxy Parkway, OH, 4829, USA
- University Hospitals, Cleveland Medical Center, Cleveland, OH, USA
- Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Richard Stratford
- NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway
| | - Trevor Clancy
- NEC OncoImmunity, Oslo Cancer Cluster, Innovation Park, Oslo, Norway.
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23
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Viard M, O'hUigin C, Yuki Y, Bashirova AA, Collins DR, Urbach JM, Wolinsky S, Buchbinder S, Kirk GD, Goedert JJ, Michael NL, Haas DW, Deeks SG, Walker BD, Yu X, Carrington M. Impact of HLA class I functional divergence on HIV control. Science 2024; 383:319-325. [PMID: 38236978 DOI: 10.1126/science.adk0777] [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: 08/01/2023] [Accepted: 12/07/2023] [Indexed: 01/23/2024]
Abstract
Heterozygosity of Human leukocyte antigen (HLA) class I genes is linked to beneficial outcomes after HIV infection, presumably through greater breadth of HIV epitope presentation and cytotoxic T cell response. Distinct allotype pairs, however, differ in the extent to which they bind shared sets of peptides. We developed a functional divergence metric that measures pairwise complementarity of allotype-associated peptide binding profiles. Greater functional divergence for pairs of HLA-A and/or HLA-B allotypes was associated with slower AIDS progression and independently with enhanced viral load control. The metric predicts immune breadth at the peptide level rather than gene level and redefines HLA heterozygosity as a continuum differentially affecting disease outcome. Functional divergence may affect response to additional infections, vaccination, immunotherapy, and other diseases where HLA heterozygote advantage occurs.
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Affiliation(s)
- Mathias Viard
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Colm O'hUigin
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Yuko Yuki
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - Arman A Bashirova
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
| | - David R Collins
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Jonathan M Urbach
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Steven Wolinsky
- Division of Infectious Diseases, Department of Medicine, The Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Susan Buchbinder
- Bridge HIV, San Francisco Department of Public Health, San Francisco, CA, USA
- Department of Medicine, Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Gregory D Kirk
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - James J Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nelson L Michael
- US Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - David W Haas
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Steven G Deeks
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Bruce D Walker
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Xu Yu
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA and Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute Bethesda, MD, USA
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
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24
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de Joode K, Heersche N, Basak EA, Bins S, van der Veldt AAM, van Schaik RHN, Mathijssen RHJ. Review - The impact of pharmacogenetics on the outcome of immune checkpoint inhibitors. Cancer Treat Rev 2024; 122:102662. [PMID: 38043396 DOI: 10.1016/j.ctrv.2023.102662] [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: 10/04/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/05/2023]
Abstract
The development of immune checkpoint inhibitors (ICIs) has a tremendous effect on the treatment options for multiple types of cancer. Nonetheless, there is a large interpatient variability in response, survival, and the development of immune-related adverse events (irAEs). Pharmacogenetics is the general term for germline genetic variations, which may cause the observed interindividual differences in response or toxicity to treatment. These genetic variations can either be single-nucleotide polymorphisms (SNPs) or structural variants, such as gene deletions, amplifications or rearrangements. For ICIs, pharmacogenetic variation in the human leukocyte antigen molecules has also been studied with regard to treatment outcome. This review presents a summary of the literature regarding the pharmacogenetics of ICI treatment, discusses the most important known genetic variations and offers recommendations on the application of pharmacogenetics for ICI treatment.
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Affiliation(s)
- Karlijn de Joode
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Niels Heersche
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Edwin A Basak
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Sander Bins
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Astrid A M van der Veldt
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Department of Radiology & Nuclear Medicine, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus MC, Erasmus University Hospital, Rotterdam, the Netherlands
| | - Ron H J Mathijssen
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.
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25
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Lenz TL. HLA Genes: A Hallmark of Functional Genetic Variation and Complex Evolution. Methods Mol Biol 2024; 2809:1-18. [PMID: 38907887 DOI: 10.1007/978-1-0716-3874-3_1] [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: 06/24/2024]
Abstract
The major histocompatibility complex (MHC) with its highly polymorphic HLA genes represents one of the most intensely studied genomic regions in the genome. MHC proteins play a key role in antigen-specific immunity and are associated with a wide range of complex diseases. Despite decades of research and many advances in the field, the characterization and interpretation of its genetic and genomic variability remain challenging. Here an overview is provided of the MHC, the nature of its exceptional variability, and the complex evolutionary processes assumed to drive this variability. Highlighted are also recent advances in the field that promise to improve our understanding of the variability in the MHC and in antigen-specific immunity more generally.
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Affiliation(s)
- Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany.
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26
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Addala V, Newell F, Pearson JV, Redwood A, Robinson BW, Creaney J, Waddell N. Computational immunogenomic approaches to predict response to cancer immunotherapies. Nat Rev Clin Oncol 2024; 21:28-46. [PMID: 37907723 DOI: 10.1038/s41571-023-00830-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2023] [Indexed: 11/02/2023]
Abstract
Cancer immunogenomics is an emerging field that bridges genomics and immunology. The establishment of large-scale genomic collaborative efforts along with the development of new single-cell transcriptomic techniques and multi-omics approaches have enabled characterization of the mutational and transcriptional profiles of many cancer types and helped to identify clinically actionable alterations as well as predictive and prognostic biomarkers. Researchers have developed computational approaches and machine learning algorithms to accurately obtain clinically useful information from genomic and transcriptomic sequencing data from bulk tissue or single cells and explore tumours and their microenvironment. The rapid growth in sequencing and computational approaches has resulted in the unmet need to understand their true potential and limitations in enabling improvements in the management of patients with cancer who are receiving immunotherapies. In this Review, we describe the computational approaches currently available to analyse bulk tissue and single-cell sequencing data from cancer, stromal and immune cells, as well as how best to select the most appropriate tool to address various clinical questions and, ultimately, improve patient outcomes.
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Affiliation(s)
- Venkateswar Addala
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
| | - Felicity Newell
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - John V Pearson
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Alec Redwood
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia
| | - Bruce W Robinson
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Jenette Creaney
- National Centre for Asbestos Related Diseases, University of Western Australia, Perth, Western Australia, Australia
- Institute of Respiratory Health, Perth, Western Australia, Australia
- School of Biomedical Science, University of Western Australia, Perth, Western Australia, Australia
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia
| | - Nicola Waddell
- Cancer Program, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
- Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
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Zhou H, Chan KC, Buratto D, Zhou R. The rigidity of a structural bridge on HLA-I binding groove explains its differential outcome in cancer immune response. Int J Biol Macromol 2023; 253:127199. [PMID: 37793526 DOI: 10.1016/j.ijbiomac.2023.127199] [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: 09/07/2023] [Revised: 09/28/2023] [Accepted: 09/30/2023] [Indexed: 10/06/2023]
Abstract
The tremendous success of immune checkpoint blockade (ICB) therapy has raised the great demand for the development of predictive biomarkers. A recent cancer genomic study suggested that human leukocyte antigen (HLA)-B*44:02 and HLA-B*15:01 alleles may act as potential biomarkers for ICB therapies, however, the underlying molecular mechanisms remain largely elusive. Here, we investigated the molecular origins of differential responses to ICB therapies for four representative HLA alleles: HLA-B*44:02, HLA-B*15:01, HLA-B*07:02, and HLA-B*53:01, using extensive all-atom molecular dynamics simulations. We first demonstrated that the relatively more rigid peptide-binding groove of HLA-B*15:01, than those in the other three HLA alleles, may result in challenges in its recognition with T-cell receptors. Specifically, the "bridge" structure in HLA-B*15:01 is stabilized through both intramolecular electrostatic interactions between the HLA residues and intermolecular interactions between the HLA and the antigenic peptide. These observations were further confirmed by in silico mutagenesis studies, as well as simulations of several other HLA-B*15:01-peptide complexes. By contrast, the "bridge" structure is either completely absent in HLA-B*44:02 or easily perturbed in HLA-B*07:02 and HLA-B*53:01. Our findings provide detailed structural and mechanistic insights into how HLA genotype influences ICB responses and may have important implications for developing immune markers.
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Affiliation(s)
- Hong Zhou
- Institute of Quantitative Biology, and College of Life Sciences, Zhejiang University, Hangzhou 310027, China; Shanghai Institute for Advanced Study, Zhejiang University, Shanghai 201203, China
| | - Kevin Chun Chan
- Institute of Quantitative Biology, and College of Life Sciences, Zhejiang University, Hangzhou 310027, China; Shanghai Institute for Advanced Study, Zhejiang University, Shanghai 201203, China
| | - Damiano Buratto
- Institute of Quantitative Biology, and College of Life Sciences, Zhejiang University, Hangzhou 310027, China
| | - Ruhong Zhou
- Institute of Quantitative Biology, and College of Life Sciences, Zhejiang University, Hangzhou 310027, China; Shanghai Institute for Advanced Study, Zhejiang University, Shanghai 201203, China; Department of Chemistry, Columbia University, New York, NY 10027, United States.
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28
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Eng C, Kim A, Yehia L. Genomic diversity in functionally relevant genes modifies neurodevelopmental versus neoplastic risks in individuals with germline PTEN variants. RESEARCH SQUARE 2023:rs.3.rs-3734368. [PMID: 38168271 PMCID: PMC10760312 DOI: 10.21203/rs.3.rs-3734368/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Individuals with germline PTEN variants (PHTS) have increased risks of the seemingly disparate phenotypes of cancer and neurodevelopmental disorders (NDD), including autism spectrum disorder (ASD). Etiology of the phenotypic variability remains elusive. Here, we hypothesized that decreased genomic diversity, manifested by increased homozygosity, may be one etiology. Comprehensive analyses of 376 PHTS patients of European ancestry revealed significant enrichment of homozygous common variants in genes involved in inflammatory processes in the PHTS-NDD group and in genes involved in differentiation and chromatin structure regulation in the PHTS-ASD group. Pathway analysis revealed pathways germane to NDD/ASD, including neuroinflammation and synaptogenesis. Collapsing analysis of the homozygous variants identified suggestive modifier NDD/ASD genes. In contrast, we found enrichment of homozygous ultra-rare variants in genes modulating cell death in the PHTS-cancer group. Finally, homozygosity burden as a predictor of ASD versus cancer outcomes in our validated prediction model for NDD/ASD performed favorably.
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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: 7] [Impact Index Per Article: 7.0] [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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O'Brien H, Salm M, Morton LT, Szukszto M, O'Farrell F, Boulton C, Becker PD, Samuels Y, Swanton C, Mansour MR, Reker Hadrup S, Quezada SA. Breaking the performance ceiling for neoantigen immunogenicity prediction. NATURE CANCER 2023; 4:1618-1621. [PMID: 38102360 DOI: 10.1038/s43018-023-00675-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Affiliation(s)
| | - Max Salm
- Achilles Therapeutics Ltd, London, UK.
| | | | - Maciej Szukszto
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | | | - Charlotte Boulton
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | | | | | | | - Marc R Mansour
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK
| | | | - Sergio A Quezada
- Achilles Therapeutics Ltd, London, UK.
- Cancer Immunology Unit, Research Department of Haematology, University College London Cancer Institute, London, UK.
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Jiang T, Jin Q, Wang J, Wu F, Chen J, Chen G, Huang Y, Chen J, Cheng Y, Wang Q, Pan Y, Zhou J, Shi J, Xu X, Lin L, Zhang W, Zhang Y, Liu Y, Fang Y, Feng J, Wang Z, Hu S, Fang J, Shu Y, Cui J, Hu Y, Yao W, Li X, Lin X, Wang R, Wang Y, Shi W, Feng G, Ni J, Mao B, Ren D, Sun H, Zhang H, Chen L, Zhou C, Ren S. HLA-I Evolutionary Divergence Confers Response to PD-1 Blockade plus Chemotherapy in Untreated Advanced Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:4830-4843. [PMID: 37449971 DOI: 10.1158/1078-0432.ccr-23-0604] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 04/13/2023] [Accepted: 07/11/2023] [Indexed: 07/18/2023]
Abstract
PURPOSE PD-1 blockade plus chemotherapy has become the new standard of care in patients with untreated advanced non-small cell lung cancer (NSCLC), whereas predictive biomarkers remain undetermined. EXPERIMENTAL DESIGN We integrated clinical, genomic, and survival data of 427 NSCLC patients treated with first-line PD-1 blockade plus chemotherapy or chemotherapy from two phase III trials (CameL and CameL-sq) and investigated the predictive and prognostic value of HLA class I evolutionary divergence (HED). RESULTS High HED could predict significantly improved objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) in those who received PD-1 blockade plus chemotherapy [in the CameL trial, ORR: 81.8% vs. 53.2%; P = 0.032; PFS: hazard ratio (HR), 0.47; P = 0.012; OS: HR, 0.40; P = 0.014; in the CameL-sq trial, ORR: 89.2% vs. 62.3%; P = 0.007; PFS: HR, 0.49; P = 0.005; OS: HR, 0.38; P = 0.002], but not chemotherapy. In multivariate analysis adjusted for PD-L1 expression and tumor mutation burden, high HED was independently associated with markedly better ORR, PFS, and OS in both trials. Moreover, the joint utility of HED and PD-L1 expression showed better performance than either alone in predicting treatment benefit from PD-1 blockade plus chemotherapy. Single-cell RNA sequencing of 58,977 cells collected from 11 patients revealed that tumors with high HED had improved antigen presentation and T cell-mediated antitumor immunity, indicating an inflamed tumor microenvironment phenotype. CONCLUSIONS These findings suggest that high HED could portend survival benefit in advanced NSCLC treated with first-line PD-1 blockade plus chemotherapy. See related commentary by Dimou, p. 4706.
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Affiliation(s)
- Tao Jiang
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Qiqi Jin
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Jiahao Wang
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fengying Wu
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Jian Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Gongyan Chen
- First Ward of Respiratory Medicine, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yunchao Huang
- Department of Thoracic Surgery, Yunnan Cancer Hospital and the Third Affiliated Hospital of Kunming Medical University and Yunnan Cancer Center, Kunming, China
| | - Jianhua Chen
- Department of Medical Oncology-Chest (1), Hunan Cancer Hospital, Changsha, China
| | - Ying Cheng
- Department of Medical Oncology, Jilin Cancer Hospital, Changchun, China
| | - QiMing Wang
- Department of Oncology, Henan Cancer Hospital, Zhengzhou, China
| | - Yueyin Pan
- Department of Chemotherapy Oncology, Anhui Provincial Hospital, Hefei, China
| | - Jianying Zhou
- Respiratory Medicine, The First Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Jianhua Shi
- Internal Medicine Ward 2, Linyi Cancer Hospital, Linyi, China
| | - Xingxiang Xu
- Respiratory Department, The Northern Jiangsu People's Hospital, Yangzhou, China
| | - LiZhu Lin
- Oncology Center, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Wei Zhang
- Department of Respiratory Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yiping Zhang
- Department of Thoracic Oncology, Zhejiang Cancer Hospital, Hangzhou, China
| | - Yunpeng Liu
- Department of Medical Oncology, The First Hospital of China, Medical University, Shenyang, China
| | - Yong Fang
- Department of Medical Oncology, Sir Run Run Shaw Hospital Zhejiang University School of Medicine, Hangzhou, China
| | - Jifeng Feng
- Department of Thoracic Medical Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Zhehai Wang
- Department of Respiratory, Shandong Cancer Hospital and Institute, Jinan, China
| | - Sheng Hu
- Department of Thoracic Oncology, Hubei Cancer Hospital, Wuhan, China
| | - Jian Fang
- The Second Department of Thoracic Oncology, Beijing Cancer Hospital, Beijing, China
| | - Yongqian Shu
- Department of Oncology, Jiangsu Province Hospital, Nanjing, China
| | - Jiuwei Cui
- Department of Medical Oncology, The First Bethune Hospital of Jilin University, Changchun, China
| | - Yi Hu
- Oncology Department, General Hospital of Chinese People's Liberation Army, Beijing, China
| | - Wenxiu Yao
- Department of Thoracic Oncology, Sichuan Provincial Cancer Hospital, Chengdu, China
| | - Xingya Li
- Department of Medical Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xiaoyan Lin
- Department of Oncology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Rui Wang
- Department of Medical Oncology, Anhui Chest Hospital, Hefei, China
| | - Yongsheng Wang
- Department of Thoracic Medical Oncology, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Shi
- Clinical Research and Development, Jiangsu Hengrui Pharmaceuticals, China
| | - Gaohua Feng
- Department of Pulmonary and Critical Care Medicine, Zhangjiagang Hospital of Traditional Chinese Medicine, Suzhou, China
| | - Jun Ni
- Department of Pulmonary and Critical Care Medicine, Zhangjiagang Hospital of Traditional Chinese Medicine, Suzhou, China
| | - Beibei Mao
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
| | - Dandan Ren
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
| | - Huaibo Sun
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
| | - Henghui Zhang
- Genecast Biotechnology Co., Ltd, Jiangsu Province, China
- Biomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, China; School of Oncology, Capital Medical University, Beijing, China
| | - Luonan Chen
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
- State Key Laboratory of Cell Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Caicun Zhou
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
| | - Shengxiang Ren
- Department of Medical Oncology, Shanghai Pulmonary Hospital and Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China
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Tsai YY, Qu C, Bonner JD, Sanz-Pamplona R, Lindsey SS, Melas M, McDonnell KJ, Idos GE, Walker CP, Tsang KK, Da Silva DM, Moratalla-Navarro F, Maoz A, Rennert HS, Kast WM, Greenson JK, Moreno V, Rennert G, Gruber SB, Schmit SL. Heterozygote advantage at HLA class I and II loci and reduced risk of colorectal cancer. Front Immunol 2023; 14:1268117. [PMID: 37942321 PMCID: PMC10627840 DOI: 10.3389/fimmu.2023.1268117] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 10/10/2023] [Indexed: 11/10/2023] Open
Abstract
Objective Reduced diversity at Human Leukocyte Antigen (HLA) loci may adversely affect the host's ability to recognize tumor neoantigens and subsequently increase disease burden. We hypothesized that increased heterozygosity at HLA loci is associated with a reduced risk of developing colorectal cancer (CRC). Methods We imputed HLA class I and II four-digit alleles using genotype data from a population-based study of 5,406 cases and 4,635 controls from the Molecular Epidemiology of Colorectal Cancer Study (MECC). Heterozygosity at each HLA locus and the number of heterozygous genotypes at HLA class -I (A, B, and C) and HLA class -II loci (DQB1, DRB1, and DPB1) were quantified. Logistic regression analysis was used to estimate the risk of CRC associated with HLA heterozygosity. Individuals with homozygous genotypes for all loci served as the reference category, and the analyses were adjusted for sex, age, genotyping platform, and ancestry. Further, we investigated associations between HLA diversity and tumor-associated T cell repertoire features, as measured by tumor infiltrating lymphocytes (TILs; N=2,839) and immunosequencing (N=2,357). Results Individuals with all heterozygous genotypes at all three class I genes had a reduced odds of CRC (OR: 0.74; 95% CI: 0.56-0.97, p= 0.031). A similar association was observed for class II loci, with an OR of 0.75 (95% CI: 0.60-0.95, p= 0.016). For class-I and class-II combined, individuals with all heterozygous genotypes had significantly lower odds of developing CRC (OR: 0.66, 95% CI: 0.49-0.87, p= 0.004) than those with 0 or one heterozygous genotype. HLA class I and/or II diversity was associated with higher T cell receptor (TCR) abundance and lower TCR clonality, but results were not statistically significant. Conclusion Our findings support a heterozygote advantage for the HLA class-I and -II loci, indicating an important role for HLA genetic variability in the etiology of CRC.
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Affiliation(s)
- Ya-Yu Tsai
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Chenxu Qu
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
| | - Joseph D. Bonner
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Rebeca Sanz-Pamplona
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Hospital Universitario Lozano Blesa, Aragon Health Research Institute (IISA), ARAID Foundation, Aragon Government, Zaragoza, Spain
| | - Sidney S. Lindsey
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Marilena Melas
- Molecular Diagnostics, New York Genome Center, New York, NY, United States
| | - Kevin J. McDonnell
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Gregory E. Idos
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Christopher P. Walker
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Kevin K. Tsang
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Diane M. Da Silva
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
| | - Ferran Moratalla-Navarro
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona, Barcelona, Spain
| | - Asaf Maoz
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, United States
| | - Hedy S. Rennert
- B. Rappaport Faculty of Medicine, Technion and the Association for Promotion of Research in Precision Medicine (APRPM), Haifa, Israel
| | - W. Martin Kast
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, United States
| | - Joel K. Greenson
- Department of Pathology, University of Michigan, Ann Arbor, MI, United States
| | - Victor Moreno
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona, Barcelona, Spain
| | - Gad Rennert
- B. Rappaport Faculty of Medicine, Technion and the Association for Promotion of Research in Precision Medicine (APRPM), Haifa, Israel
| | - Stephen B. Gruber
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Stephanie L. Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, United States
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, United States
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Qiao W, Hu C, Ma J, Dong X, Dalangood S, Li H, Yuan C, Lu B, Gao WQ, Wen Z, Yin W, Gui J. Low-dose metronomic chemotherapy triggers oxidized mtDNA sensing inside tumor cells to potentiate CD8 +T anti-tumor immunity. Cancer Lett 2023; 573:216370. [PMID: 37660883 DOI: 10.1016/j.canlet.2023.216370] [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: 06/14/2023] [Revised: 08/08/2023] [Accepted: 08/29/2023] [Indexed: 09/05/2023]
Abstract
Low-dose metronomic (LDM) chemotherapy, the frequent and continuous use of low doses of conventional chemotherapeutics, is emerging as a promising form of chemotherapy utilization. LDM chemotherapy exerts immunomodulatory effects. However, the underlying mechanism is not fully understood. Here we found that suppressing tumor growth by LDM chemotherapy was dependent on the activation of CD8+T cells. LDM chemotherapy potentiated the cytotoxic function of CD8+T cells by stimulating cancer-cell autonomous type I interferon (IFN) induction. Mechanistically, LDM chemotherapy evoked mitochondrial dysfunction and increased reactive oxygen species (ROS) production. ROS triggered the oxidation of cytosolic mtDNA, which was sensed by cGAS-STING, consequently inducing type I IFN production in the cancer cells. Moreover, the cGAS-STING-IFN axis increased PD-L1 expression and predicted favorable clinical responses to chemoimmunotherapy. Antioxidant N-acetylcysteine inhibited oxidized mtDNA-induced type I IFN production and attenuated the efficacy of combination therapy with LDM chemotherapy and PD-L1 blockade. This study elucidates the critical role of intratumoral oxidized mtDNA sensing in LDM chemotherapy-mediated activation of CD8+T cell immune response. These findings may provide new insights for designing combinatorial immunotherapy for cancer patients.
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Affiliation(s)
- Wen Qiao
- State Key Laboratory of Systems Medicine for Cancer, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Cegui Hu
- State Key Laboratory of Systems Medicine for Cancer, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Jiayi Ma
- Department of Breast Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Xinrui Dong
- Department of Breast Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Sumiya Dalangood
- State Key Laboratory of Systems Medicine for Cancer, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Hanjun Li
- State Key Laboratory of Systems Medicine for Cancer, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Chenwei Yuan
- Department of Breast Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Binbin Lu
- State Key Laboratory of Systems Medicine for Cancer, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Wei-Qiang Gao
- State Key Laboratory of Systems Medicine for Cancer, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China; School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Zhenke Wen
- Jiangsu Key Laboratory of Infection and Immunity, Institutes of Biology and Medical Sciences, Soochow University, Suzhou, 215123, China.
| | - Wenjin Yin
- Department of Breast Surgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
| | - Jun Gui
- State Key Laboratory of Systems Medicine for Cancer, Renji-Med X Clinical Stem Cell Research Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
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Allais BS, Fay CJ, Kim DY, Semenov YR, LeBoeuf NR. Cutaneous immune-related adverse events from immune checkpoint inhibitor therapy: Moving beyond "maculopapular rash". Immunol Rev 2023; 318:22-36. [PMID: 37583051 DOI: 10.1111/imr.13257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 06/27/2023] [Indexed: 08/17/2023]
Abstract
Uncoupling toxicity from therapeutic effect lies at the foundation of the current state of the field of cutaneous immune-related adverse events to immune checkpoint inhibitor therapy. This will be achieved through understanding the drivers of toxicity, tumor response, and resistance via large, well-powered population-level studies, institutional cohort data, and cellular-level data. Increasing diagnostic specificity through the application of consensus disease definitions has the power to improve clinical care and each approach to research. Cutaneous immune-related adverse events are associated with increased survival, and their treatment must invoke the maintenance of a delicate balance between immunosuppression, anti-tumor effect of immune checkpoint inhibitor therapy, and quality of life. The multidisciplinary care of cancer patients with adverse events is critical to optimizing clinical and translational research outcomes and, as such, dermatologists are vital to moving the study of cutaneous adverse events forward.
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Affiliation(s)
- Blair S Allais
- Inova Schar Cancer Institute, Melanoma and Skin Cancer Center, Fairfax, Virginia, USA
| | - Christopher J Fay
- The Center for Cutaneous Oncology, Department of Dermatology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Daniel Y Kim
- Harvard-MIT Health Sciences and Technology Program, Harvard Medical School, Boston, Massachusetts, USA
| | - Yevgeniy R Semenov
- Harvard Medical School, Boston, Massachusetts, USA
- Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Nicole R LeBoeuf
- The Center for Cutaneous Oncology, Department of Dermatology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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35
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Gusev A. Germline mechanisms of immunotherapy toxicities in the era of genome-wide association studies. Immunol Rev 2023; 318:138-156. [PMID: 37515388 DOI: 10.1111/imr.13253] [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: 03/14/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
Cancer immunotherapy has revolutionized the treatment of advanced cancers and is quickly becoming an option for early-stage disease. By reactivating the host immune system, immunotherapy harnesses patients' innate defenses to eradicate the tumor. By putatively similar mechanisms, immunotherapy can also substantially increase the risk of toxicities or immune-related adverse events (irAEs). Severe irAEs can lead to hospitalization, treatment discontinuation, lifelong immune complications, or even death. Many irAEs present with similar symptoms to heritable autoimmune diseases, suggesting that germline genetics may contribute to their onset. Recently, genome-wide association studies (GWAS) of irAEs have identified common germline associations and putative mechanisms, lending support to this hypothesis. A wide range of well-established GWAS methods can potentially be harnessed to understand the etiology of irAEs specifically and immunotherapy outcomes broadly. This review summarizes current findings regarding germline effects on immunotherapy outcomes and discusses opportunities and challenges for leveraging germline genetics to understand, predict, and treat irAEs.
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Affiliation(s)
- Alexander Gusev
- Division of Population Sciences, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
- Division of Genetics, Brigham & Women's Hospital, Boston, Massachusetts, USA
- The Broad Institute, Cambridge, Massachusetts, USA
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36
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Sakaue S, Gurajala S, Curtis M, Luo Y, Choi W, Ishigaki K, Kang JB, Rumker L, Deutsch AJ, Schönherr S, Forer L, LeFaive J, Fuchsberger C, Han B, Lenz TL, de Bakker PIW, Okada Y, Smith AV, Raychaudhuri S. Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease. Nat Protoc 2023; 18:2625-2641. [PMID: 37495751 PMCID: PMC10786448 DOI: 10.1038/s41596-023-00853-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/27/2023] [Indexed: 07/28/2023]
Abstract
The human leukocyte antigen (HLA) locus is associated with more complex diseases than any other locus in the human genome. In many diseases, HLA explains more heritability than all other known loci combined. In silico HLA imputation methods enable rapid and accurate estimation of HLA alleles in the millions of individuals that are already genotyped on microarrays. HLA imputation has been used to define causal variation in autoimmune diseases, such as type I diabetes, and in human immunodeficiency virus infection control. However, there are few guidelines on performing HLA imputation, association testing, and fine mapping. Here, we present a comprehensive tutorial to impute HLA alleles from genotype data. We provide detailed guidance on performing standard quality control measures for input genotyping data and describe options to impute HLA alleles and amino acids either locally or using the web-based Michigan Imputation Server, which hosts a multi-ancestry HLA imputation reference panel. We also offer best practice recommendations to conduct association tests to define the alleles, amino acids, and haplotypes that affect human traits. Along with the pipeline, we provide a step-by-step online guide with scripts and available software ( https://github.com/immunogenomics/HLA_analyses_tutorial ). This tutorial will be broadly applicable to large-scale genotyping data and will contribute to defining the role of HLA in human diseases across global populations.
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Affiliation(s)
- Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saisriram Gurajala
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michelle Curtis
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Wanson Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Kazuyoshi Ishigaki
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Joyce B Kang
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Aaron J Deutsch
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Jonathon LeFaive
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Christian Fuchsberger
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
| | - Buhm Han
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Paul I W de Bakker
- Data and Computational Sciences, Vertex Pharmaceuticals, Boston, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Albert V Smith
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester, Manchester, UK.
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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: 27] [Impact Index Per Article: 27.0] [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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38
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Mumphrey MB, Hosseini N, Parolia A, Geng J, Zou W, Raghavan M, Chinnaiyan A, Cieslik M. Distinct mutational processes shape selection of MHC class I and class II mutations across primary and metastatic tumors. Cell Rep 2023; 42:112965. [PMID: 37597185 DOI: 10.1016/j.celrep.2023.112965] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 05/15/2023] [Accepted: 07/26/2023] [Indexed: 08/21/2023] Open
Abstract
Disruption of antigen presentation via loss of major histocompatibility complex (MHC) expression is a strategy whereby cancer cells escape immune surveillance and develop resistance to immunotherapy. Here, we develop the personalized genomics algorithm Hapster and accurately call somatic mutations within the MHC genes of 10,001 primary and 2,199 metastatic tumors, creating a catalog of 1,663 non-synonymous mutations that provide key insights into MHC mutagenesis. We find that MHC class I genes are among the most frequently mutated genes in both primary and metastatic tumors, while MHC class II mutations are more restricted. Recurrent deleterious mutations are found within haplotype- and cancer-type-specific hotspots associated with distinct mutational processes. Functional classification of MHC residues reveals significant positive selection for mutations disruptive to the B2M, peptide, and T cell binding interfaces, as well as to MHC chaperones.
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Affiliation(s)
- Michael B Mumphrey
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Noshad Hosseini
- Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Abhijit Parolia
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jie Geng
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Weiping Zou
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, MI 48109, USA; Center of Excellence for Cancer Immunology and Immunotherapy, University of Michigan, Ann Arbor, MI 48109, USA; University of Michigan Rogel Cancer Center, Ann Arbor, MI 48109, USA
| | - Malini Raghavan
- Department of Microbiology & Immunology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Arul Chinnaiyan
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA; Howard Hughes Medical Institute, Ann Arbor, MI 48109, USA; University of Michigan Rogel Cancer Center, Ann Arbor, MI 48109, USA
| | - Marcin Cieslik
- Department of Pathology, University of Michigan, Ann Arbor, MI 48109, USA; Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA; Michigan Center for Translational Pathology, University of Michigan, Ann Arbor, MI 48109, USA; University of Michigan Rogel Cancer Center, Ann Arbor, MI 48109, USA.
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39
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Talwar JV, Laub D, Pagadala MS, Castro A, Lewis M, Luebeck GE, Gorman BR, Pan C, Dong FN, Markianos K, Teerlink CC, Lynch J, Hauger R, Pyarajan S, Tsao PS, Morris GP, Salem RM, Thompson WK, Curtius K, Zanetti M, Carter H. Autoimmune alleles at the major histocompatibility locus modify melanoma susceptibility. Am J Hum Genet 2023; 110:1138-1161. [PMID: 37339630 PMCID: PMC10357503 DOI: 10.1016/j.ajhg.2023.05.013] [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: 07/13/2022] [Revised: 05/20/2023] [Accepted: 05/22/2023] [Indexed: 06/22/2023] Open
Abstract
Autoimmunity and cancer represent two different aspects of immune dysfunction. Autoimmunity is characterized by breakdowns in immune self-tolerance, while impaired immune surveillance can allow for tumorigenesis. The class I major histocompatibility complex (MHC-I), which displays derivatives of the cellular peptidome for immune surveillance by CD8+ T cells, serves as a common genetic link between these conditions. As melanoma-specific CD8+ T cells have been shown to target melanocyte-specific peptide antigens more often than melanoma-specific antigens, we investigated whether vitiligo- and psoriasis-predisposing MHC-I alleles conferred a melanoma-protective effect. In individuals with cutaneous melanoma from both The Cancer Genome Atlas (n = 451) and an independent validation set (n = 586), MHC-I autoimmune-allele carrier status was significantly associated with a later age of melanoma diagnosis. Furthermore, MHC-I autoimmune-allele carriers were significantly associated with decreased risk of developing melanoma in the Million Veteran Program (OR = 0.962, p = 0.024). Existing melanoma polygenic risk scores (PRSs) did not predict autoimmune-allele carrier status, suggesting these alleles provide orthogonal risk-relevant information. Mechanisms of autoimmune protection were neither associated with improved melanoma-driver mutation association nor improved gene-level conserved antigen presentation relative to common alleles. However, autoimmune alleles showed higher affinity relative to common alleles for particular windows of melanocyte-conserved antigens and loss of heterozygosity of autoimmune alleles caused the greatest reduction in presentation for several conserved antigens across individuals with loss of HLA alleles. Overall, this study presents evidence that MHC-I autoimmune-risk alleles modulate melanoma risk unaccounted for by current PRSs.
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Affiliation(s)
- James V Talwar
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - David Laub
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Meghana S Pagadala
- Biomedical Science Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Andrea Castro
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA
| | - McKenna Lewis
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA
| | - Georg E Luebeck
- Public Health Sciences Division, Herbold Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Bryan R Gorman
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Booz Allen Hamilton, Inc., McLean, VA 22102, USA
| | - Cuiping Pan
- Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto, CA, USA
| | - Frederick N Dong
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Booz Allen Hamilton, Inc., McLean, VA 22102, USA
| | - Kyriacos Markianos
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA; Department of Pediatrics, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of Harvard and MIT, Cambridge, MA 02115, USA
| | - Craig C Teerlink
- Department of Veterans Affairs Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, USA; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Julie Lynch
- Department of Veterans Affairs Informatics and Computing Infrastructure (VINCI), VA Salt Lake City Healthcare System, Salt Lake City, UT, USA; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard Hauger
- VA San Diego Healthcare System, La Jolla, CA, USA; Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Center of Excellence for Stress and Mental Health (CESAMH), VA San Diego Healthcare System, San Diego, CA, USA
| | - Saiju Pyarajan
- Center for Data and Computational Sciences (C-DACS), VA Boston Healthcare System, Boston, MA 02130, USA; Department of Medicine, Brigham Women's Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Philip S Tsao
- Palo Alto Epidemiology Research and Information Center for Genomics, VA Palo Alto, CA, USA; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Gerald P Morris
- Department of Pathology, University of California San Diego, La Jolla, CA 92093, USA
| | - Rany M Salem
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA 92093, USA
| | - Wesley K Thompson
- Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK 74136, USA
| | - Kit Curtius
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; Division of Biomedical Informatics, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA
| | - Maurizio Zanetti
- Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA; The Laboratory of Immunology, University of California San Diego, La Jolla, CA 92093, USA; Department of Medicine, Division of Hematology and Oncology, University of California San Diego, La Jolla, CA 92093, USA
| | - Hannah Carter
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA 92093, USA; Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA 92093, USA; Moores Cancer Center, University of California San Diego, La Jolla, CA 92093, USA.
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40
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Chen G, Zhu W, Liu Y, Zhang L, Xie L, Song X, Song X. The clonal heterogeneity of colon cancer with liver metastases. J Gastroenterol 2023; 58:642-655. [PMID: 37042990 PMCID: PMC10307713 DOI: 10.1007/s00535-023-01989-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 03/29/2023] [Indexed: 04/13/2023]
Abstract
BACKGROUND Colon cancer with liver metastases (CCLM) characterized by genetic heterogeneity is an evolutionary process leading to variations in response to selective pressure, but the underlying evolutionary models still remains unclear. METHODS Total of 30 samples, including primary tumor and two to four matched liver metastases from 8 treatment-naïve patients with CCLM were collected, and subjected to whole-exome DNA sequencing. PyClone was used to calculate intra and inter-tumor heterogeneity, LICHeE was used to reconstruct the cancer phylogeny trees and investigate the subclonal composition. RESULTS The genetic differences were observed between primary and metastatic lesions, as well as among multiple metastases in all patients. The natural history models of colorectal cancer in each case were identified, including parallel, linear, and branching evolution. Liver metastases could originate from primary lesions or other metastases. Pathway and process enrichment analysis also showed obvious heterogeneity and enhancement of several molecular functions. CONCLUSIONS Our data reveal the genetic and heterogeneity between primary and metastatic lesions, as well as among multiple metastases and provide genomic evidence for clonal heterogeneity for CCLM.
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Affiliation(s)
- Guanxuan Chen
- Department of Intensive Care Unit, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Wanqi Zhu
- Department of Research and Education, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Yang Liu
- Shanghai OrigiMed Co., Ltd, Shanghai, People's Republic of China
| | - Liwen Zhang
- Shanghai OrigiMed Co., Ltd, Shanghai, People's Republic of China
| | - Li Xie
- Department of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China
| | - Xingguo Song
- Department of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China.
| | - Xianrang Song
- Department of Clinical Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China.
- Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, People's Republic of China.
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Wu X, Wang H, Xue F, Jiang T, Chen N, Wang T, Zhang Y, Zhang G, Fu J, Wu Q. Frequency changes in HLA-I alleles: A marker to guide immunotherapy in lung adenocarcinoma patients and its relationship with tumor mutational burden and PD-L1 expression. Thorac Cancer 2023; 14:1932-1940. [PMID: 37246469 PMCID: PMC10344735 DOI: 10.1111/1759-7714.14939] [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: 03/10/2023] [Revised: 05/06/2023] [Accepted: 05/08/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND The aim of the study was to investigate differences in HLA-I alleles between lung adenocarcinoma patients and healthy controls and determine their association with PD-L1 expression and tumor mutational burden (TMB) to understand the mechanism underlying lung adenocarcinoma susceptibility. METHODS Differences in HLA allele frequencies between the two groups were analyzed in a case-control study. PD-L1 expression and TMB in lung adenocarcinoma patients were determined and their relationships with HLA-I were analyzed. RESULTS The lung adenocarcinoma group showed significantly higher HLA-A*30:01 (p = 0.0067, odds ratio [OR], 1.834; 95% confidence interval [CI]: 1.176-2.860), B*13:02 (p = 0.0050, OR, 1.855; 95% CI: 1.217-2.829), and C*06:02 (p = 0.0260, OR, 1.478; 95% CI: 1.060-2.060) and significantly lower B*51:01 (p = 0.0290, OR, 0.6019; 95% CI: 0.3827-0.9467), and C*14:02 (p = 0.0255, OR, 0.5089; 95% CI: 0.2781-0.9312) than the control group. Haplotype analysis results showed that HLA-A*30:01-B*13:02 (p = 0.0100, OR, 1.909; 95% CI: 1.182-3.085), A*11:01-C*01:02 (p = 0.0056, OR, 1.909; 95% CI: 1.182-3.085), A*30:01-C*06:02 (p = 0.0111, OR, 1.846; 95% CI: 1.147-2.969), and B*13:02-C*06:02 (p = 0.0067, OR, 1.846; 95% CI: 1.147-2.969) frequencies significantly increased and B*51:01-C*14:02 (p = 0.0219, OR, 0.490; 95% CI: 0.263-0.914) frequency significantly decreased in lung adenocarcinoma patients. Three-locus haplotype analysis showed that HLA-A*30:01-B*13:02-C*06:02 frequency (p = 0.0100, OR, 1.909; 95% CI: 1.182-3.085) significantly increased in patients. CONCLUSION HLA-A*30:01, B*13:02, and C*06:02 may be the susceptibility genes and HLA-B*51:01 and C*14:01 act as the resistance genes of lung adenocarcinoma. The changes in HLA-I allele frequencies had no association with PD-L1 expression and TMB among these patients.
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Affiliation(s)
- Xuanpeng Wu
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Hao Wang
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Fei Xue
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Tao Jiang
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Nanzheng Chen
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Tianju Wang
- HLA Typing Laboratory, Blood Center of the Shaanxi ProvinceInstitute of Xi'an Blood BankXi'anChina
| | - Yong Zhang
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Guangjian Zhang
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Junke Fu
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
| | - Qifei Wu
- Department of Thoracic SurgeryThe First Affiliated Hospital of Xi'an Jiaotong UniversityXi'anChina
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Wang YA, Ranti D, Bieber C, Galsky M, Bhardwaj N, Sfakianos JP, Horowitz A. NK Cell-Targeted Immunotherapies in Bladder Cancer: Beyond Checkpoint Inhibitors. Bladder Cancer 2023; 9:125-139. [PMID: 38993289 PMCID: PMC11181717 DOI: 10.3233/blc-220109] [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: 10/28/2022] [Accepted: 05/15/2023] [Indexed: 07/13/2024]
Abstract
BACKGROUND For decades, immunotherapies have been integral for the treatment and management of bladder cancer, with immune checkpoint inhibitors (ICIs) transforming patient care in recent years. However, response rates are poor to T cell-targeted ICIs such as programmed cell death protein 1 (PD-1) and programmed cell death-ligand 1 (PD-L1) blocking antibodies, framing a critical need for complementary immunotherapies. Promising strategies involve harnessing the activation potential of natural killer (NK) cells. They quickly exert their antitumor activity via signaling through germline-encoded activating receptors and are rapidly sensitized to new tissue microenvironments via their regulation by polymorphic HLA class I, KIR and NKG2A receptors. OBJECTIVE In this review, we examined the roles of currently available NK-targeted antitumor treatment strategies such as engineered viral vectors, small-molecule IMiDs, NK agonist antibodies, interleukins, and chimeric antigen receptor (CAR) NK cells, and their potential for improving the efficacy of immunotherapy in the treatment of bladder cancer. METHODS Through review of current literature, we summarized our knowledge of NK cells in solid tumors and hematologic malignancies as their roles pertain to novel immunotherapies already being applied to the treatment of bladder cancer or that offer rationale for considering as potential novel immunotherapeutic strategies. RESULTS NK cells play a critical role in shaping the tumor microenvironment (TME) that can be exploited to improve T cell-targeted immunotherapies. CONCLUSIONS Emerging evidence suggests that NK cells are a prime target for improving antitumor functions in immunotherapies for the treatment of bladder cancer. Further research into profiling NK cells in settings of immunotherapies for bladder cancer could help identify patients who might maximally benefit from NK cell-targeted immunotherapies and the various approaches for exploiting their antitumor properties.
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Affiliation(s)
- Yuanshuo A Wang
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniel Ranti
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Christine Bieber
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Matthew Galsky
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Hematology and Medical Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nina Bhardwaj
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Hematology and Medical Oncology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - John P Sfakianos
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amir Horowitz
- The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Samnani S, Sachedina F, Gupta M, Guo E, Navani V. Mechanisms and clinical implications in renal carcinoma resistance: narrative review of immune checkpoint inhibitors. CANCER DRUG RESISTANCE (ALHAMBRA, CALIF.) 2023; 6:416-429. [PMID: 37457122 PMCID: PMC10344724 DOI: 10.20517/cdr.2023.02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/25/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023]
Abstract
Clear cell renal cell carcinoma (ccRCC) is the most common histological subtype of renal cell carcinoma. The prognosis for patients with ccRCC has improved over recent years with the use of combination therapies with an anti-programmed death-1 (PD-1) backbone. This has enhanced the quality of life and life expectancy of patients with this disease. Unfortunately, not all patients benefit; eventually, most patients will develop resistance to therapy and progress. Recent molecular, biochemical, and immunological research has extensively researched anti-angiogenic and immune-based treatment resistance mechanisms. This analysis offers an overview of the principles underpinning the resistance pathways related to immune checkpoint inhibitors (ICIs). Additionally, novel approaches to overcome resistance that may be considered for the trial context are discussed.
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Affiliation(s)
- Sunil Samnani
- Department of Internal Medicine, The University of Calgary, Calgary T2N 1N4, Canada
| | - Faraz Sachedina
- Department of Internal Medicine, The University of Calgary, Calgary T2N 1N4, Canada
| | - Mehul Gupta
- Cumming School of Medicine, University of Calgary, Calgary T2N 4N1, Canada
| | - Edward Guo
- Cumming School of Medicine, University of Calgary, Calgary T2N 4N1, Canada
| | - Vishal Navani
- Department of Medical Oncology, Tom Baker Cancer Centre, Calgary T2N 4N2, Canada
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Sarfaty M, Golkaram M, Funt SA, Al-Ahmadie H, Kaplan S, Song F, Regazzi A, Makarov V, Kuo F, Ostrovnaya I, Seshan V, Zhao C, Greenbaum B, Liu L, Rosenberg JE, Chan TA. Novel Genetic Subtypes of Urothelial Carcinoma With Differential Outcomes on Immune Checkpoint Blockade. J Clin Oncol 2023; 41:3225-3235. [PMID: 36927002 PMCID: PMC10256354 DOI: 10.1200/jco.22.02144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 02/09/2023] [Indexed: 03/18/2023] Open
Abstract
PURPOSE Immune checkpoint blockade (ICB) therapy has significantly improved clinical outcomes in bladder cancer. Identification of correlates of benefit is critical to select appropriate therapy for individual patients. METHODS To reveal genetic variables associated with benefit from ICB, we performed whole-exome sequencing on tumor specimens from 88 patients with advanced bladder cancer treated with ICB. RESULTS We identified several genetic factors that correlated with progression-free and overall survival after ICB therapy including ARID1A mutation, tumor mutational burden, intratumoral heterogeneity, the ratio of nonsynonymous to synonymous mutations in the immunopeptidome (immune dN/dS), and tumor cell purity. In addition, we noted that neutrophil-to-lymphocyte ratio and smoking history were negatively associated with overall survival. These genetic characteristics define four molecular subtypes demonstrating differential sensitivity to ICB. We validated the association of these four subtypes with clinical benefit from ICB in an independent cohort (IMvigor210). Finally, we showed that these molecular subtypes also correlate with outcome, although with distinct relationships, among patients not treated with ICB using The Cancer Genome Atlas (TCGA) bladder cancer cohort. Using parallel RNA sequencing data, the subtypes were also shown to correlate with immune infiltration and inflammation, respectively, in the IMvigor210 and TCGA cohorts. CONCLUSION Together, our study defines molecular subgroups of bladder cancer that influence benefit from ICB.
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Affiliation(s)
- Michal Sarfaty
- Genitourinary Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Institute of Oncology, Sheba Medical Center, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | | | - Samuel A. Funt
- Genitourinary Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Hikmat Al-Ahmadie
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Ashley Regazzi
- Genitourinary Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Vladimir Makarov
- Center for Immunotherapy and Precision-Immuno-Oncology, Cleveland Clinic, Cleveland, OH
| | - Fengshen Kuo
- Department of Urology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Irina Ostrovnaya
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Venkatraman Seshan
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Benjamin Greenbaum
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Li Liu
- Illumina, Inc, San Diego, CA
| | - Jonathan E. Rosenberg
- Genitourinary Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Timothy A. Chan
- Center for Immunotherapy and Precision-Immuno-Oncology, Cleveland Clinic, Cleveland, OH
- National Center for Regenerative Medicine, Cleveland Clinic, Cleveland, OH
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Pagliuca S, Gurnari C, Hercus C, Hergalant S, Hong S, Dhuyser A, D'Aveni M, Aarnink A, Rubio MT, Feugier P, Ferraro F, Carraway HE, Sobecks R, Hamilton BK, Majhail NS, Visconte V, Maciejewski JP. Leukemia relapse via genetic immune escape after allogeneic hematopoietic cell transplantation. Nat Commun 2023; 14:3153. [PMID: 37258544 PMCID: PMC10232425 DOI: 10.1038/s41467-023-38113-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 04/13/2023] [Indexed: 06/02/2023] Open
Abstract
Graft-versus-leukemia (GvL) reactions are responsible for the effectiveness of allogeneic hematopoietic cell transplantation as a treatment modality for myeloid neoplasia, whereby donor T- effector cells recognize leukemia neoantigens. However, a substantial fraction of patients experiences relapses because of the failure of the immunological responses to control leukemic outgrowth. Here, through a broad immunogenetic study, we demonstrate that germline and somatic reduction of human leucocyte antigen (HLA) heterogeneity enhances the risk of leukemic recurrence. We show that preexistent germline-encoded low evolutionary divergence of class II HLA genotypes constitutes an independent factor associated with disease relapse and that acquisition of clonal somatic defects in HLA alleles may lead to escape from GvL control. Both class I and II HLA genes are targeted by somatic mutations as clonal selection factors potentially impairing cellular immune responses and response to immunomodulatory strategies. These findings define key molecular modes of post-transplant leukemia escape contributing to relapse.
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Affiliation(s)
- Simona Pagliuca
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
| | - Carmelo Gurnari
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Biomedicine and Prevention, PhD in Immunology, Molecular Medicine and Applied Biotechnology, University of Rome Tor Vergata, Rome, Italy
| | - Colin Hercus
- Novocraft Technologies Sdn Bhd, Kuala Lumpur, Malaysia
| | - Sébastien Hergalant
- Inserm UMR-S 1256 Nutrition-Genetics-Environmental Risk Exposure, University of Lorraine, 54500, Vandœuvre-lès-Nancy, France
| | - Sanghee Hong
- Division of Hematologic Malignancies and Cellular Therapy, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Adele Dhuyser
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
- Histocompatibility Department, CHRU de Nancy, Vandœuvre-lès-Nancy, France
| | - Maud D'Aveni
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
| | - Alice Aarnink
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
- Histocompatibility Department, CHRU de Nancy, Vandœuvre-lès-Nancy, France
| | - Marie Thérèse Rubio
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
- CNRS UMR 7365, IMoPA, Biopole of University of Lorraine, Vandœuvre-lès-Nancy, France
| | - Pierre Feugier
- Department of Hematology, CHRU de Nancy, Vandœuvre-lès-Nancy, France
| | - Francesca Ferraro
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Hetty E Carraway
- Leukemia Program, Hematology Department, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ronald Sobecks
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Betty K Hamilton
- Blood and Marrow Transplant Program, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Navneet S Majhail
- Sarah Cannon Transplant and Cellular Therapy Network, Nashville, TN, USA
| | - Valeria Visconte
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Jaroslaw P Maciejewski
- Department of Translational Hematology and Oncology Research, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, USA.
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Villemonteix J, Allain V, Verstraete E, Jorge-Cordeiro D, Socié G, Xhaard A, Feray C, Caillat-Zucman S. HLA-DP diversity is associated with improved response to SARS-Cov-2 vaccine in hematopoietic stem cell transplant recipients. iScience 2023; 26:106763. [PMID: 37168557 PMCID: PMC10132830 DOI: 10.1016/j.isci.2023.106763] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/26/2023] [Accepted: 04/24/2023] [Indexed: 05/13/2023] Open
Abstract
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipients show lower humoral vaccine responsiveness than immunocompetent individuals. HLA diversity, measured by the HLA evolutionary divergence (HED) metrics, reflects the diversity of the antigenic repertoire presented to T cells, and has been shown to predict response to cancer immunotherapy. We retrospectively investigated the association of HED with humoral response to SARS-CoV-2 vaccine in allo-HSCT recipients. HED was calculated as pairwise genetic distance between alleles at HLA-A, -B, -C, -DRB1, -DQB1, and -DPB1 loci in recipients and their donors. Low anti-spike IgG levels (<30 BAU/mL) were associated with short time from allo-SCT and low donor DPB1-HED, mostly related to donor DPB1 homozygosity. The diversity of donor HLA-DP molecules, assessed by heterozygosity or sequence divergence, may thus impact the efficacy of donor-derived CD4 T cells to sustain vaccine-mediated antibody response in allo-HSCT recipients.
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Affiliation(s)
- Juliette Villemonteix
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
| | - Vincent Allain
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
- INSERM UMR 976, Université Paris Cité, Institut de Recherche Saint-Louis (IRSL), 75010 Paris, France
| | - Emma Verstraete
- Service d'hématologie-greffe, Hôpital Saint-Louis, AP-HP, Université Paris Cité, 75010 Paris, France
| | - Debora Jorge-Cordeiro
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
| | - Gérard Socié
- INSERM UMR 976, Université Paris Cité, Institut de Recherche Saint-Louis (IRSL), 75010 Paris, France
- Service d'hématologie-greffe, Hôpital Saint-Louis, AP-HP, Université Paris Cité, 75010 Paris, France
| | - Alienor Xhaard
- Service d'hématologie-greffe, Hôpital Saint-Louis, AP-HP, Université Paris Cité, 75010 Paris, France
| | - Cyrille Feray
- Centre Hépato-Biliaire, Hôpital Paul-Brousse, AP-HP, Université Paris-Saclay, FHU Hepatinov, 94800 Villejuif, France
- Institut National de la santé et de la recherche médicale (INSERM) UMR-S 1193, 94800 Villejuif, France
| | - Sophie Caillat-Zucman
- Laboratoire d'Immunologie, Hôpital Saint-Louis, Assistance Publique-Hôpitaux de Paris (AP-HP), Université Paris Cité, 75010 Paris, France
- INSERM UMR 976, Université Paris Cité, Institut de Recherche Saint-Louis (IRSL), 75010 Paris, France
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Pagadala M, Sears TJ, Wu VH, Pérez-Guijarro E, Kim H, Castro A, Talwar JV, Gonzalez-Colin C, Cao S, Schmiedel BJ, Goudarzi S, Kirani D, Au J, Zhang T, Landi T, Salem RM, Morris GP, Harismendy O, Patel SP, Alexandrov LB, Mesirov JP, Zanetti M, Day CP, Fan CC, Thompson WK, Merlino G, Gutkind JS, Vijayanand P, Carter H. Germline modifiers of the tumor immune microenvironment implicate drivers of cancer risk and immunotherapy response. Nat Commun 2023; 14:2744. [PMID: 37173324 PMCID: PMC10182072 DOI: 10.1038/s41467-023-38271-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 04/24/2023] [Indexed: 05/15/2023] Open
Abstract
With the continued promise of immunotherapy for treating cancer, understanding how host genetics contributes to the tumor immune microenvironment (TIME) is essential to tailoring cancer screening and treatment strategies. Here, we study 1084 eQTLs affecting the TIME found through analysis of The Cancer Genome Atlas and literature curation. These TIME eQTLs are enriched in areas of active transcription, and associate with gene expression in specific immune cell subsets, such as macrophages and dendritic cells. Polygenic score models built with TIME eQTLs reproducibly stratify cancer risk, survival and immune checkpoint blockade (ICB) response across independent cohorts. To assess whether an eQTL-informed approach could reveal potential cancer immunotherapy targets, we inhibit CTSS, a gene implicated by cancer risk and ICB response-associated polygenic models; CTSS inhibition results in slowed tumor growth and extended survival in vivo. These results validate the potential of integrating germline variation and TIME characteristics for uncovering potential targets for immunotherapy.
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Affiliation(s)
- Meghana Pagadala
- Biomedical Sciences Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Timothy J Sears
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Victoria H Wu
- Department of Pharmacology, UCSD Moores Cancer Center, La Jolla, CA, 92093, USA
| | - Eva Pérez-Guijarro
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Hyo Kim
- Undergraduate Bioengineering Program, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Andrea Castro
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - James V Talwar
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | | | - Steven Cao
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093, USA
| | | | | | - Divya Kirani
- Undergraduate Biology and Bioinformatics Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jessica Au
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Rany M Salem
- Division of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093, USA
| | - Gerald P Morris
- Department of Pathology, University of California San Diego, La Jolla, CA, 92093, USA
| | - Olivier Harismendy
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, 92093, USA
- Division of Biomedical Informatics, Department of Medicine, University of California San Diego School of Medicine, La Jolla, CA, 92093, USA
| | - Sandip Pravin Patel
- Center for Personalized Cancer Therapy, Division of Hematology and Oncology, UC San Diego Moores Cancer Center, San Diego, CA, 92037, USA
| | - Ludmil B Alexandrov
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, 92093, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jill P Mesirov
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, 92093, USA
| | - Maurizio Zanetti
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA
- The Laboratory of Immunology and Department of Medicine, University of California San Diego, La Jolla, CA, 92093, USA
| | - Chi-Ping Day
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - Chun Chieh Fan
- Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK, 74136, USA
- Department of Radiology, University of California San Diego, La Jolla, CA, 92093, USA
| | - Wesley K Thompson
- Division of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, 92093, USA
| | - Glenn Merlino
- Laboratory of Cancer Biology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Bethesda, MD, 20892, USA
| | - J Silvio Gutkind
- Department of Pharmacology, UCSD Moores Cancer Center, La Jolla, CA, 92093, USA
| | | | - Hannah Carter
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA.
- Department of Medicine, Division of Medical Genetics, University of California San Diego, La Jolla, CA, 92093, USA.
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Homan EJ, Bremel RD. Determinants of tumor immune evasion: the role of T cell exposed motif frequency and mutant amino acid exposure. Front Immunol 2023; 14:1155679. [PMID: 37215122 PMCID: PMC10196236 DOI: 10.3389/fimmu.2023.1155679] [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: 01/31/2023] [Accepted: 04/17/2023] [Indexed: 05/24/2023] Open
Abstract
Few neoepitopes detected in tumor biopsies are immunogenic. Tumor-specific T cell responses require both the presentation of an epitope that differs from wildtype and the presence of T cells with neoepitope-cognate receptors. We show that mutations detected in tumor biopsies result in an increased frequency of rare amino acid combinations compared to the human proteome and gastrointestinal microorganisms. Mutations in a large data set of oncogene and tumor suppressor gene products were compared to wildtype, and to the count of corresponding amino acid motifs in the human proteome and gastrointestinal microbiome. Mutant amino acids in T cell exposed positions of potential neoepitopes consistently generated amino acid motifs that are less common in both proteome reference datasets. Approximately 10% of the mutant amino acid motifs are absent from the human proteome. Motif frequency does not change when mutants were positioned in the MHC anchor positions hidden from T cell receptors. Analysis of neoepitopes in GBM and LUSC cases showed less common T cell exposed motifs, and HLA binding preferentially placing mutant amino acids in an anchor position for both MHC I and MHC II. Cross-presentation of mutant exposed neoepitopes by MHC I and MHC II was particularly uncommon. Review of a tumor mutation dataset known to generate T cell responses showed immunogenic epitopes were those with mutant amino acids exposed to the T cell receptor and with exposed pentamer motifs present in the human and microbiome reference databases. The study illustrates a previously unrecognized mechanism of tumor immune evasion, as rare T cell exposed motifs produced by mutation are less likely to have cognate T cells in the T cell repertoire. The complex interactions of HLA genotype, binding positions, and mutation specific changes in T cell exposed motif underscore the necessity of evaluating potential neoepitopes in each individual patient.
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Wang QL, Wang TM, Deng CM, Zhang WL, He YQ, Xue WQ, Liao Y, Yang DW, Zheng MQ, Jia WH. Association of HLA diversity with the risk of 25 cancers in the UK Biobank. EBioMedicine 2023; 92:104588. [PMID: 37148584 DOI: 10.1016/j.ebiom.2023.104588] [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: 01/05/2023] [Revised: 03/17/2023] [Accepted: 04/11/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND The human leukocyte antigen (HLA) is a highly polymorphic region, and HLA diversity may play a role in presenting tumour-associated peptides and inducing immune responses. However, the effect of HLA diversity on cancers has not been fully assessed. We aimed to explore the role of HLA diversity on cancer development. METHODS A pan-cancer analysis was performed to evaluate the effect of HLA diversity, measured by HLA heterozygosity and HLA evolutionary divergence (HED), on the susceptibility of 25 cancers in the UK Biobank. FINDINGS We observed that the diversity of HLA class II locus was associated with a lower risk of lung cancer (ORhetero = 0.94, 95% CI = 0.90-0.97, P = 1.29 × 10-4) and head and neck cancer (ORhetero = 0.91, 95% CI = 0.86-0.96, P = 1.56 × 10-3). Besides, a lower risk of non-Hodgkin lymphoma was associated with an increased diversity of HLA class I (ORhetero = 0.92, 95% CI = 0.87-0.98, P = 8.38 × 10-3) and class II locus (ORhetero = 0.89, 95% CI = 0.86-0.92, P = 1.65 × 10-10). A lower risk of Hodgkin lymphoma was associated with the HLA class I diversity (ORhetero = 0.85, 95% CI = 0.75-0.96, P = 0.011). The protective effect of HLA diversity was mainly observed in pathological subtypes with higher tumour mutation burden, such as lung squamous cell carcinoma (P = 9.39 × 10-3) and diffuse large B cell lymphoma (Pclass I = 4.12 × 10-4; Pclass Ⅱ = 4.71 × 10-5), as well as the smoking subgroups of lung cancer (P = 7.45 × 10-5) and head and neck cancer (P = 4.55 × 10-3). INTERPRETATION We provided a systematic insight into the effect of HLA diversity on cancers, which might help to understand the etiological role of HLA on cancer development. FUNDING This study was supported by grants from the National Natural Science Foundation of China (82273705, 82003520); the Basic and Applied Basic Research Foundation of Guangdong Province, China (2021B1515420007); the Science and Technology Planning Project of Guangzhou, China (201804020094); Sino-Sweden Joint Research Programme (81861138006); the National Natural Science Foundation of China (81973131, 81903395, 81803319, 81802708).
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Affiliation(s)
- Qiao-Ling Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China; School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Tong-Min Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Chang-Mi Deng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen-Li Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yong-Qiao He
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wen-Qiong Xue
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ying Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Da-Wei Yang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China; School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Mei-Qi Zheng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China; School of Public Health, Sun Yat-sen University, Guangzhou, China.
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50
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Wang Y, Jasinski-Bergner S, Wickenhauser C, Seliger B. Cancer Immunology: Immune Escape of Tumors-Expression and Regulation of HLA Class I Molecules and Its Role in Immunotherapies. Adv Anat Pathol 2023; 30:148-159. [PMID: 36517481 DOI: 10.1097/pap.0000000000000389] [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: 12/23/2022]
Abstract
The addition of "avoiding immune destruction" to the hallmarks of cancer demonstrated the importance of cancer immunology and in particular the role of immune surveillance and escape from malignancies. However, the underlying mechanisms contributing to immune impairment and immune responses are diverse. Loss or reduced expression of the HLA class I molecules are major characteristics of human cancers resulting in an impaired recognition of tumor cells by CD8 + cytotoxic T lymphocytes. This is of clinical relevance and associated with worse patients outcome and limited efficacy of T-cell-based immunotherapies. Here, we summarize the role of HLA class I antigens in cancers by focusing on the underlying molecular mechanisms responsible for HLA class I defects, which are caused by either structural alterations or deregulation at the transcriptional, posttranscriptional, and posttranslational levels. In addition, the influence of HLA class I abnormalities to adaptive and acquired immunotherapy resistances will be described. The in-depth knowledge of the different strategies of malignancies leading to HLA class I defects can be applied to design more effective cancer immunotherapies.
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Affiliation(s)
| | - Simon Jasinski-Bergner
- Institute of Medical Immunology
- Institute for Translational Immunology, Medical School "Theodor Fontane", Brandenburg, Germany
| | - Claudia Wickenhauser
- Institute of Pathology, Martin Luther University Halle-Wittenberg, Halle (Saale)
| | - Barbara Seliger
- Institute of Medical Immunology
- Department of Good Manufacturing Practice (GMP) Development & Advanced Therapy Medicinal Products (ATMP) Design, Fraunhofer Institute for Cell Therapy and Immunology (IZI), Leipzig, GermanyLeipzig, Germany
- Institute for Translational Immunology, Medical School "Theodor Fontane", Brandenburg, Germany
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