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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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53
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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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54
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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: 12] [Impact Index Per Article: 12.0] [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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55
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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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56
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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. RESEARCH SQUARE 2023:rs.3.rs-2773498. [PMID: 37066269 PMCID: PMC10104200 DOI: 10.21203/rs.3.rs-2773498/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
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 experience 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 reactions and response to immunomodulatory strategies. These findings define key molecular modes of post-transplant leukemia escape contributing to relapse.
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57
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Zapata L, Caravagna G, Williams MJ, Lakatos E, AbdulJabbar K, Werner B, Chowell D, James C, Gourmet L, Milite S, Acar A, Riaz N, Chan TA, Graham TA, Sottoriva A. Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors. Nat Genet 2023; 55:451-460. [PMID: 36894710 PMCID: PMC10011129 DOI: 10.1038/s41588-023-01313-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 01/25/2023] [Indexed: 03/11/2023]
Abstract
In cancer, evolutionary forces select for clones that evade the immune system. Here we analyzed >10,000 primary tumors and 356 immune-checkpoint-treated metastases using immune dN/dS, the ratio of nonsynonymous to synonymous mutations in the immunopeptidome, to measure immune selection in cohorts and individuals. We classified tumors as immune edited when antigenic mutations were removed by negative selection and immune escaped when antigenicity was covered up by aberrant immune modulation. Only in immune-edited tumors was immune predation linked to CD8 T cell infiltration. Immune-escaped metastases experienced the best response to immunotherapy, whereas immune-edited patients did not benefit, suggesting a preexisting resistance mechanism. Similarly, in a longitudinal cohort, nivolumab treatment removes neoantigens exclusively in the immunopeptidome of nonimmune-edited patients, the group with the best overall survival response. Our work uses dN/dS to differentiate between immune-edited and immune-escaped tumors, measuring potential antigenicity and ultimately helping predict response to treatment.
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Affiliation(s)
- Luis Zapata
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
| | - Giulio Caravagna
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Cancer Data Science Laboratory, Dipartimento di Matematica e Geoscienze, Università degli Studi di Trieste, Trieste, Italy
| | - Marc J Williams
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan 10 Kettering Cancer Center, New York, NY, USA
| | - Eszter Lakatos
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Khalid AbdulJabbar
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
| | - Benjamin Werner
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - 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
| | - Chela James
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Lucie Gourmet
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Salvatore Milite
- Computational Biology Research Centre, Human Technopole, Milan, Italy
| | - Ahmet Acar
- Department of Biological Sciences, Middle East Technical University, Universiteler Mah, Ankara, Turkey
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, USA
| | - Trevor A Graham
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Centre for Genomics and Computational Biology, Barts Cancer Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
| | - Andrea Sottoriva
- Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
- Computational Biology Research Centre, Human Technopole, Milan, Italy.
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58
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Merli P, Crivello P, Strocchio L, Pinto RM, Algeri M, Del Bufalo F, Pagliara D, Becilli M, Carta R, Gaspari S, Galaverna F, Quagliarella F, Boz G, Catanoso ML, Boccieri E, Troiano M, Fleischhauer K, Andreani M, Locatelli F. Human leukocyte antigen evolutionary divergence influences outcomes of paediatric patients and young adults affected by malignant disorders given allogeneic haematopoietic stem cell transplantation from unrelated donors. Br J Haematol 2023; 200:622-632. [PMID: 36385618 DOI: 10.1111/bjh.18561] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/29/2022] [Accepted: 10/31/2022] [Indexed: 11/18/2022]
Abstract
High genetic heterogeneity in the human leukocyte antigen (HLA) increases the likelihood of efficient immune response to pathogens and tumours. As measure of HLA diversity, HLA evolutionary divergence (HED) has been shown to predict the response of tumours to immunotherapy and haematopoietic stem cell transplantation (HSCT) in adults. We retrospectively investigated the association of HED with outcomes of 153 paediatric/young adults patients, treated for malignant disorders with HSCT from 9-10/10 HLA-matched unrelated donors. HED was calculated as pairwise genetic distance between alleles in patient HLA-A, -B, -C, -DRB1, -DQB1 and -DPB1, using the locus median to stratify patients with 'high' or 'low' HED. Patients with high HED-B and -DRB1 showed significantly improved disease-free survival (DFS), especially when combined (70.8% vs 53.7% p = 0.008). High HED-B + -DRB1 was also associated with improved overall survival (OS) (82.1 vs 66.4% p = 0.014), and concomitant reduction of non-relapse-mortality (5.1% vs 21.1% p = 0.006). The impact on OS and DFS of combined HED-B + -DRB1 was confirmed in multivariate analysis [hazard ratio (HR) 0.39, p = 0.009; and HR 0.45, p = 0.007 respectively]. Only high HED scores for HLA-DPB1 were associated, in univariate analysis, with reduced incidence of relapse (15.9% vs 31.1%, p = 0.03). These results support HED as prognostic marker in allogeneic HSCT and, if confirmed in larger cohorts, would allow its use to inform clinical risk and potentially influence clinical practice.
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Affiliation(s)
- Pietro Merli
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Pietro Crivello
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany
| | - Luisa Strocchio
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Rita Maria Pinto
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Mattia Algeri
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Francesca Del Bufalo
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Daria Pagliara
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Marco Becilli
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Roberto Carta
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Stefania Gaspari
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Federica Galaverna
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Francesco Quagliarella
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Giulia Boz
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Maria Luigia Catanoso
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Emilia Boccieri
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Maria Troiano
- Laboratory of Transplant Immunogenetics, Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Katharina Fleischhauer
- Institute for Experimental Cellular Therapy, University Hospital Essen, Essen, Germany.,German Cancer Consortium, Partner Site Essen/Düsseldorf, Heidelberg, Germany
| | - Marco Andreani
- Laboratory of Transplant Immunogenetics, Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Franco Locatelli
- Department of Hematology/Oncology, Cell and Gene Therapy, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.,Catholic University of the Sacred Heart, Department of Life Sciences and Public Health, Rome, Italy
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59
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Shiota M, 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, Tanegashima T, Tokunaga S, Eto M. Effect of genetic polymorphisms on outcomes following nivolumab for advanced renal cell carcinoma in the SNiP-RCC trial. Cancer Immunol Immunother 2023; 72:1903-1915. [PMID: 36729213 DOI: 10.1007/s00262-023-03367-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/04/2023] [Indexed: 02/03/2023]
Abstract
BACKGROUND Anti-PD-1 antibodies are widely used for cancer treatment including advanced renal cell carcinoma (RCC). However, their therapeutic and adverse effects vary among patients. This study aimed to identify genetic markers that predict outcome after nivolumab anti-PD-1 antibody treatment for advanced RCC. METHODS This study was registered on the website of the University Hospital Medical Information Network (protocol ID, UMIN000037739). Patient enrollment was conducted at 23 institutions in Japan between August 19, 2019, and September 30, 2020. Patient follow-up ended on March 31, 2021. Patients were treated with nivolumab for advanced clear cell RCC. A genome-wide association study was performed in the development set, while genotyping of target regions in the validation set was undertaken. Single nucleotide polymorphisms (SNPs) in genes of interest CD274, PDCD1LG2 and PDCD1 were genotyped in the combined set. The primary endpoint was the association of SNPs with objective response following nivolumab treatment. As secondary endpoints, the associations of SNPs with radiographic progression-free survival (rPFS) and treatment-related grade ≥ 3 adverse events (AEs) were evaluated. RESULTS A genome-wide association study followed by a validation study identified that SNPs in FARP1 (rs643896 and rs685736) were associated with objective response and rPFS but not AEs following nivolumab treatment. Furthermore, SNPs in PDCD1LG2 (rs822339 and rs1411262) were associated with objective response, rPFS, and AEs following nivolumab treatment. Genetic risk category determined according to the number of risk alleles in SNPs (rs643896 in FARP1 and rs4527932 in PDCD1LG2) excellently predicted objective response and rPFS in nivolumab treatment. CONCLUSION This study revealed that SNPs in FARP1 and PDCD1LG2 were correlated with outcome in nivolumab treatment. The use of these SNPs may be beneficial in selecting appropriate treatment for individual patients and may contribute to personalized medicine.
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Affiliation(s)
- Masaki Shiota
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, 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, Faculty of Medicine, Kindai University, 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, Matsuyama, 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
| | - Tokiyoshi Tanegashima
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Shoji Tokunaga
- Medical Information Center, Kyushu University Hospital, Fukuoka, Japan
| | - Masatoshi Eto
- Department of Urology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
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60
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Meri-Abad M, Moreno-Manuel A, García SG, Calabuig-Fariñas S, Pérez RS, Herrero CC, Jantus-Lewintre E. Clinical and technical insights of tumour mutational burden in non-small cell lung cancer. Crit Rev Oncol Hematol 2023; 182:103891. [PMID: 36565893 DOI: 10.1016/j.critrevonc.2022.103891] [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: 10/30/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Despite the durable responses provided by the introduction of checkpoint inhibitors in advanced Non-Small Cell Lung Cancer (NSCLC) without actionable targets in a subset of patients, a large proportion of them will progress after immunotherapy. Programmed Death Ligand 1 (PD-L1) was the first biomarker approved for immunotherapy, although it has multiple limitations, thus the development of novel biomarkers is an urgent need. Tumour Mutational Burden (TMB) is an emerging biomarker defined as the total number of mutations per coding area of tumour genome. Targeted gene panels have emerged as a cost-effective approach to estimate TMB. However, there is still an unmet need to fully standardize sample requirements, panel size, and bioinformatic pipelines to ensure that TMB is calculated appropriately. In addition, researchers are also evaluating TMB calculation in liquid biopsy. In this work, we summarize the relevant advances and the clinical utility of TMB in NSCLC.
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Affiliation(s)
- Marina Meri-Abad
- Medical Oncology Department, General University Hospital of Valencia, Valencia, Spain
| | - Andrea Moreno-Manuel
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain
| | - Sandra Gallach García
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain
| | - Silvia Calabuig-Fariñas
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain; Pathology Department, Universitat de València, Valencia, Spain
| | - Rafael Sirera Pérez
- CIBERONC, Valencia, Spain; Biotechnology Department, Universitat Politècnica de València, Valencia, Spain; Mixed Unit Nanomedicine, Centro Investigación Príncipe Felipe-Universitat Politècnica de Valencia, 46022 Valencia, Spain
| | - Carlos Camps Herrero
- Medical Oncology Department, General University Hospital of Valencia, Valencia, Spain; Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain; Department of Medicine, Universitat de València, Valencia, Spain
| | - Eloisa Jantus-Lewintre
- Mixed Unit TRIAL (Príncipe Felipe Research Centre & Fundación para la Investigación del Hospital General Universitario de Valencia), Valencia, Spain; CIBERONC, Valencia, Spain; Biotechnology Department, Universitat Politècnica de València, Valencia, Spain; Mixed Unit Nanomedicine, Centro Investigación Príncipe Felipe-Universitat Politècnica de Valencia, 46022 Valencia, Spain.
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61
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Shen C, Yan Y, Yang S, Wang Z, Wu Z, Li Z, Zhang Z, Lin Y, Li P, Hu H. Construction and validation of a bladder cancer risk model based on autophagy-related genes. Funct Integr Genomics 2023; 23:46. [PMID: 36689018 DOI: 10.1007/s10142-022-00957-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 12/21/2022] [Accepted: 12/29/2022] [Indexed: 01/24/2023]
Abstract
Autophagy has an important association with tumorigenesis, progression, and prognosis. However, the mechanism of autophagy-regulated genes on the risk prognosis of bladder cancer (BC) patients has not been fully elucidated yet. In this study, we created a prognostic model of BC risk based on autophagy-related genes, which further illustrates the value of genes associated with autophagy in the treatment of BC. We first downloaded human autophagy-associated genes and BC datasets from Human Autophagy Database and The Cancer Genome Atlas (TCGA) database, and finally obtained differential prognosis-associated genes for autophagy by univariate regression analysis and differential analysis of cancer versus normal tissues. Subsequently, we downloaded two datasets from Gene Expression Omnibus (GEO), GSE31684 and GSE15307, to expand the total number of samples. Based on these genes, we distinguished the molecular subtypes (C1, C2) and gene classes (A, B) of BC by consistent clustering analysis. Using the genes merged from TCGA and the two GEO datasets, we conducted least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis to obtain risk genes and construct autophagy-related risk prediction models. The accuracy of this risk prediction model was assessed by receiver operating characteristic (ROC) and calibration curves, and then nomograms were constructed to predict the survival of bladder cancer patients at 1, 3, and 5 years, respectively. According to the median value of the risk score, we divided BC samples into the high- and low-risk groups. Kaplan-Meier (K-M) survival analysis was performed to compare survival differences between subgroups. Then, we used single sample gene set enrichment analysis (ssGSEA) for immune cell infiltration abundance, immune checkpoint genes, immunotherapy response, gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis, and tumor mutation burden (TMB) analysis for different subgroups. We also applied quantitative real-time polymerase chain reaction (PCR) and immunohistochemistry (IHC) techniques to verify the expression of these six genes in the model. Finally, we chose the IMvigor210 dataset for external validation. Six risk genes associated with autophagy (SPOCD1, FKBP10, NAT8B, LDLR, STMN3, and ANXA2) were finally screened by LASSO regression algorithm and multivariate Cox regression analysis. ROC and calibration curves showed that the model established was accurate and reliable. Univariate and multivariate regression analyses were used to verify that the risk model was an independent predictor. K-M survival analysis indicated that patients in the high-risk group had significantly worse overall survival than those in the low-risk group. Analysis by algorithms such as correlation analysis, gene set variation analysis (GSVA), and ssGSEA showed that differences in immune microenvironment, enrichment of multiple biologically active pathways, TMB, immune checkpoint genes, and human leukocyte antigens (HLAs) were observed in the different risk groups. Then, we constructed nomograms that predicted the 1-, 3-, and 5-year survival rates of different BC patients. In addition, we screened nine sensitive chemotherapeutic drugs using the correlation between the obtained expression status of risk genes and drug sensitivity results. Finally, the external dataset IMvigor210 verified that the model is reliable and efficient. We established an autophagy-related risk prognostic model that is accurate and reliable, which lays the foundation for future personalized treatment of bladder cancer.
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Affiliation(s)
- Chong Shen
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Yan Yan
- Department of Vascular Surgery, University Hospital Aachen, Pauwelsstr 30, 52074, Aachen, Germany
| | - Shaobo Yang
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Zejin Wang
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Zhouliang Wu
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Zhi Li
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Zhe Zhang
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Yuda Lin
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Peng Li
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China.,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China
| | - Hailong Hu
- Department of Urology, The Second Hospital of Tianjin Medical University, 23 Pingjiang Road, Jianshan Street, Hexi, Tianjin, 300211, People's Republic of China. .,Tianjin Key Laboratory of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, People's Republic of China.
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62
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Shkurnikov M, Nersisyan S, Averinskaya D, Chekova M, Polyakov F, Titov A, Doroshenko D, Vechorko V, Tonevitsky A. HLA-A*01:01 allele diminishing in COVID-19 patients population associated with non-structural epitope abundance in CD8+ T-cell repertoire. PeerJ 2023; 11:e14707. [PMID: 36691482 PMCID: PMC9864130 DOI: 10.7717/peerj.14707] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 12/15/2022] [Indexed: 01/19/2023] Open
Abstract
In mid-2021, the SARS-CoV-2 Delta variant caused the third wave of the COVID-19 pandemic in several countries worldwide. The pivotal studies were aimed at studying changes in the efficiency of neutralizing antibodies to the spike protein. However, much less attention was paid to the T-cell response and the presentation of virus peptides by MHC-I molecules. In this study, we compared the features of the HLA-I genotype in symptomatic patients with COVID-19 in the first and third waves of the pandemic. As a result, we could identify the diminishing of carriers of the HLA-A*01:01 allele in the third wave and demonstrate the unique properties of this allele. Thus, HLA-A*01:01-binding immunoprevalent epitopes are mostly derived from ORF1ab. A set of epitopes from ORF1ab was tested, and their high immunogenicity was confirmed. Moreover, analysis of the results of single-cell phenotyping of T-cells in recovered patients showed that the predominant phenotype in HLA-A*01:01 carriers is central memory T-cells. The predominance of T-lymphocytes of this phenotype may contribute to forming long-term T-cell immunity in carriers of this allele. Our results can be the basis for highly effective vaccines based on ORF1ab peptides.
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Affiliation(s)
- Maxim Shkurnikov
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Stepan Nersisyan
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia,Institute of Molecular Biology, The National Academy of Sciences of the Republic of Armenia, Yerevan, Armenia,Armenian Bioinformatics Institute (ABI), Yerevan, Armenia,Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - Darya Averinskaya
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Milena Chekova
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Fedor Polyakov
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia
| | - Aleksei Titov
- National Research Center for Hematology, Moscow, Russia
| | | | | | - Alexander Tonevitsky
- Faculty of Biology and Biotechnology, HSE University, Moscow, Russia,Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
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63
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Zhu Y, Meng M, Hou Z, Wang W, Li L, Guan A, Wang R, Tang W, Yang F, Zhao Y, Gao H, Xie H, Li R, Tan J. Impact of cytotoxic T lymphocytes immunotherapy on prognosis of colorectal cancer patients. Front Oncol 2023; 13:1122669. [PMID: 36726382 PMCID: PMC9885253 DOI: 10.3389/fonc.2023.1122669] [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: 12/13/2022] [Accepted: 01/02/2023] [Indexed: 01/18/2023] Open
Abstract
Background Expansion and activation of cytotoxic T lymphocytes (CTLs) in vitro represents a promising immunotherapeutic strategy, and CTLs can be primed by dendritic cells (DCs) loaded with tumor-associated antigens (TAAs) transformed by recombinant adeno-associated virus (rAAV). This study aimed to explore the impact of rAAV-DC-induced CTLs on prognosis of CRC and to explore factors associated with prognosis. Methods This prospective observational study included patients operated for CRC at Yan'an Hospital Affiliated to Kunming Medical University between 2016 and 2019. The primary outcome was progression-free survival (PFS), secondary outcomes were overall survival (OS) and adverse events. Totally 49 cases were included, with 29 and 20 administered rAAV-DC-induced CTL and chemotherapy, respectively. Results After 37-69 months of follow-up (median, 54 months), OS (P=0.0596) and PFS (P=0.0788) were comparable between two groups. Mild fever occurred in 2 (6.9%) patients administered CTL infusion. All the chemotherapy group experienced mild-to-moderate adverse effects, including vasculitis (n=20, 100%), vomiting (n=5, 25%), nausea (n=17, 85%) and fatigue (n=17, 85%). Conclusions Lymphatic metastasis (hazard ratio [HR]=4.498, 95% confidence interval [CI]: 1.290-15.676; P=0.018) and lower HLA-I expression (HR=0.294, 95%CI: 0.089-0.965; P=0.044) were associated with poor OS in the CTL group. CTLs induced by rAAV-DCs might achieve comparable effectiveness in CRC patients compare to chemotherapy, cases with high tumor-associated HLA-I expression and no lymphatic metastasis were more likely to benefit from CTLs.
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Affiliation(s)
- Yankun Zhu
- Department of General Surgery, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Mingyao Meng
- Key Laboratory of Tumor Immunological Prevention and Treatment in Yunnan Province, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Zongliu Hou
- Key Laboratory of Tumor Immunological Prevention and Treatment in Yunnan Province, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Wenju Wang
- Key Laboratory of Tumor Immunological Prevention and Treatment in Yunnan Province, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Lin Li
- Key Laboratory of Tumor Immunological Prevention and Treatment in Yunnan Province, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Aoran Guan
- Department of General Surgery, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Ruotian Wang
- Department of General Surgery, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Weiwei Tang
- Key Laboratory of Tumor Immunological Prevention and Treatment in Yunnan Province, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Fang Yang
- Department of Pathology, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Yiyi Zhao
- Key Laboratory of Tumor Immunological Prevention and Treatment in Yunnan Province, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Hui Gao
- Key Laboratory of Tumor Immunological Prevention and Treatment in Yunnan Province, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Hui Xie
- Department of General Surgery, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China
| | - Ruhong Li
- Department of General Surgery, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China,*Correspondence: Ruhong Li, ; Jing Tan,
| | - Jing Tan
- Department of General Surgery, Yan’an Hospital Affiliated to Kunming Medical University, Kunming, China,*Correspondence: Ruhong Li, ; Jing Tan,
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64
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Chow A, Uddin FZ, Liu M, Dobrin A, Nabet BY, Mangarin L, Lavin Y, Rizvi H, Tischfield SE, Quintanal-Villalonga A, Chan JM, Shah N, Allaj V, Manoj P, Mattar M, Meneses M, Landau R, Ward M, Kulick A, Kwong C, Wierzbicki M, Yavner J, Egger J, Chavan SS, Farillas A, Holland A, Sridhar H, Ciampricotti M, Hirschhorn D, Guan X, Richards AL, Heller G, Mansilla-Soto J, Sadelain M, Klebanoff CA, Hellmann MD, Sen T, de Stanchina E, Wolchok JD, Merghoub T, Rudin CM. The ectonucleotidase CD39 identifies tumor-reactive CD8 + T cells predictive of immune checkpoint blockade efficacy in human lung cancer. Immunity 2023; 56:93-106.e6. [PMID: 36574773 PMCID: PMC9887636 DOI: 10.1016/j.immuni.2022.12.001] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 09/16/2022] [Accepted: 12/02/2022] [Indexed: 12/27/2022]
Abstract
Improved identification of anti-tumor T cells is needed to advance cancer immunotherapies. CD39 expression is a promising surrogate of tumor-reactive CD8+ T cells. Here, we comprehensively profiled CD39 expression in human lung cancer. CD39 expression enriched for CD8+ T cells with features of exhaustion, tumor reactivity, and clonal expansion. Flow cytometry of 440 lung cancer biospecimens revealed weak association between CD39+ CD8+ T cells and tumoral features, such as programmed death-ligand 1 (PD-L1), tumor mutation burden, and driver mutations. Immune checkpoint blockade (ICB), but not cytotoxic chemotherapy, increased intratumoral CD39+ CD8+ T cells. Higher baseline frequency of CD39+ CD8+ T cells conferred improved clinical outcomes from ICB therapy. Furthermore, a gene signature of CD39+ CD8+ T cells predicted benefit from ICB, but not chemotherapy, in a phase III clinical trial of non-small cell lung cancer. These findings highlight CD39 as a proxy of tumor-reactive CD8+ T cells in human lung cancer.
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Affiliation(s)
- Andrew Chow
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
| | - Fathema Z Uddin
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael Liu
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anton Dobrin
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Louis V. Gerstner, Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Barzin Y Nabet
- Department of Oncology Biomarker Development, Genentech, South San Francisco, CA, USA
| | - Levi Mangarin
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yonit Lavin
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hira Rizvi
- Druckenmiler Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sam E Tischfield
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alvaro Quintanal-Villalonga
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph M Chan
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nisargbhai Shah
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Viola Allaj
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Parvathy Manoj
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marissa Mattar
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maximiliano Meneses
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca Landau
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mariana Ward
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Amanda Kulick
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Charlene Kwong
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew Wierzbicki
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jessica Yavner
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jacklynn Egger
- Druckenmiler Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shweta S Chavan
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Abigail Farillas
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aliya Holland
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Harsha Sridhar
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Metamia Ciampricotti
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel Hirschhorn
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Xiangnan Guan
- Department of Oncology Biomarker Development, Genentech, South San Francisco, CA, USA
| | - Allison L Richards
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Glenn Heller
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jorge Mansilla-Soto
- Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michel Sadelain
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher A Klebanoff
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Center for Cell Engineering, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Breast Medicine Service, 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
| | - Matthew D Hellmann
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Parker Institute for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Triparna Sen
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elisa de Stanchina
- Antitumor Assessment Core, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jedd D Wolchok
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, 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
| | - Taha Merghoub
- Ludwig Collaborative and Swim Across America Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, 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.
| | - Charles M Rudin
- Thoracic Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA; Druckenmiler Center for Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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65
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Zhou S, Yang H. Immunotherapy resistance in non-small-cell lung cancer: From mechanism to clinical strategies. Front Immunol 2023; 14:1129465. [PMID: 37090727 PMCID: PMC10115980 DOI: 10.3389/fimmu.2023.1129465] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/28/2023] [Indexed: 04/25/2023] Open
Abstract
The high primary resistance incidence and unavoidable secondary resistance are the major clinical obstacle to lasting long-term benefits in Non-small-cell lung cancer (NSCLC) patients treated with immunotherapy. The mechanisms of immunotherapy resistance in NSCLC are complex, mainly involving tumor cells and tumor microenvironment (TME) infiltrating immune cells, including TAMs, B cells, NK cells, and T cells. The selection of clinical strategies for NSCLC progression after immunotherapy resistance should depend on the progressive mode. The progression pattern of NSCLC patients after immunotherapy resistance can be divided into oligo-progression and systemic/multiple progression, which should be considered for further treatment selection. In the future, it needs to explore how to optimize the combined therapy and explore strategies to reprogram infiltrating immune cells under various genetic backgrounds of tumor cells and timely reshape TME during antitumor treatments.
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Affiliation(s)
- Suna Zhou
- Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
- Department of Radiation Oncology, Xi’an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi’an, Shaanxi, China
| | - Haihua Yang
- Key Laboratory of Radiation Oncology of Taizhou, Radiation Oncology Institute of Enze Medical Health Academy, Department of Radiation Oncology, Taizhou Hospital Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China
- *Correspondence: Haihua Yang,
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66
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Kuśnierczyk P. Genetic differences between smokers and never-smokers with lung cancer. Front Immunol 2023; 14:1063716. [PMID: 36817482 PMCID: PMC9932279 DOI: 10.3389/fimmu.2023.1063716] [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: 10/07/2022] [Accepted: 01/12/2023] [Indexed: 02/05/2023] Open
Abstract
Smoking is a major risk factor for lung cancer, therefore lung cancer epidemiological trends reflect the past trends of cigarette smoking to a great extent. The geographic patterns in mortality closely follow those in incidence. Although lung cancer is strongly associated with cigarette smoking, only about 15% of smokers get lung cancer, and also some never-smokers develop this malignancy. Although less frequent, lung cancer in never smokers is the seventh leading cause of cancer deaths in both sexes worldwide. Lung cancer in smokers and never-smokers differs in many aspects: in histological types, environmental factors representing a risk, and in genes associated with this disease. In this review, we will focus on the genetic differences between lung cancer in smokers versus never-smokers: gene expression, germ-line polymorphisms, gene mutations, as well as ethnic and gender differences. Finally, treatment options for smokers and never-smokers will be briefly reviewed.
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Affiliation(s)
- Piotr Kuśnierczyk
- Laboratory of Immunogenetics and Tissue Immunology, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, Wrocław, Poland
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67
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Karnaukhov V, Paes W, Woodhouse IB, Partridge T, Nicastri A, Brackenridge S, Shcherbinin D, Chudakov DM, Zvyagin IV, Ternette N, Koohy H, Borrow P, Shugay M. HLA variants have different preferences to present proteins with specific molecular functions which are complemented in frequent haplotypes. Front Immunol 2022; 13:1067463. [PMID: 36605212 PMCID: PMC9808399 DOI: 10.3389/fimmu.2022.1067463] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/21/2022] [Indexed: 12/24/2022] Open
Abstract
Human leukocyte antigen (HLA) genes are the most polymorphic loci in the human genome and code for proteins that play a key role in guiding adaptive immune responses by presenting foreign and self peptides (ligands) to T cells. Each person carries up to 6 HLA class I variants (maternal and paternal copies of HLA-A, HLA-B and HLA-C genes) and also multiple HLA class II variants, which cumulatively define the landscape of peptides presented to T cells. Each HLA variant has its own repertoire of presented peptides with a certain sequence motif which is mainly defined by peptide anchor residues (typically the second and the last positions for HLA class I ligands) forming key interactions with the peptide-binding groove of HLA. In this study, we aimed to characterize HLA binding preferences in terms of molecular functions of presented proteins. To focus on the ligand presentation bias introduced specifically by HLA-peptide interaction we performed large-scale in silico predictions of binding of all peptides from human proteome for a wide range of HLA variants and established which functions are characteristic for proteins that are more or less preferentially presented by different HLA variants using statistical calculations and gene ontology (GO) analysis. We demonstrated marked distinctions between HLA variants in molecular functions of preferentially presented proteins (e.g. some HLA variants preferentially present membrane and receptor proteins, while others - ribosomal and DNA-binding proteins) and reduced presentation of extracellular matrix and collagen proteins by the majority of HLA variants. To explain these observations we demonstrated that HLA preferentially presents proteins enriched in amino acids which are required as anchor residues for the particular HLA variant. Our observations can be extrapolated to explain the protective effect of certain HLA alleles in infectious diseases, and we hypothesize that they can also explain susceptibility to certain autoimmune diseases and cancers. We demonstrate that these differences lead to differential presentation of HIV, influenza virus, SARS-CoV-1 and SARS-CoV-2 proteins by various HLA alleles. Taking into consideration that HLA alleles are inherited in haplotypes, we hypothesized that haplotypes composed of a combination of HLA variants with different presentation preferences should be more advantageous as they allow presenting a larger repertoire of peptides and avoiding holes in immunopeptidome. Indeed, we demonstrated that HLA-A/HLA-B and HLA-A/HLA-C haplotypes which have a high frequency in the human population are comprised of HLA variants that are more distinct in terms of functions of preferentially presented proteins than the control pairs.
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Affiliation(s)
- Vadim Karnaukhov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia,Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia
| | - Wayne Paes
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Isaac B. Woodhouse
- Medical Research Council (MRC) Human Immunology Unit, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom,Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM) Centre for Computational Biology, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), University of Oxford, Oxford, United Kingdom
| | - Thomas Partridge
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Annalisa Nicastri
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Simon Brackenridge
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Dmitrii Shcherbinin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia,Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Dmitry M. Chudakov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia,Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia,Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Ivan V. Zvyagin
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia,Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Nicola Ternette
- The Jenner Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Hashem Koohy
- Medical Research Council (MRC) Human Immunology Unit, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom,Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM) Centre for Computational Biology, Medical Research Council (MRC) Weatherall Institute of Molecular Medicine (WIMM), University of Oxford, Oxford, United Kingdom
| | - Persephone Borrow
- Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Mikhail Shugay
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Science, Moscow, Russia,Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Pirogov Russian National Research Medical University, Moscow, Russia,*Correspondence: Mikhail Shugay,
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68
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Golkaram M, Kuo F, Gupta S, Carlo MI, Salmans ML, Vijayaraghavan R, Tang C, Makarov V, Rappold P, Blum KA, Zhao C, Mehio R, Zhang S, Godsey J, Pawlowski T, DiNatale RG, Morris LGT, Durack J, Russo P, Kotecha RR, Coleman J, Chen YB, Reuter VE, Motzer RJ, Voss MH, Liu L, Reznik E, Chan TA, Hakimi AA. Spatiotemporal evolution of the clear cell renal cell carcinoma microenvironment links intra-tumoral heterogeneity to immune escape. Genome Med 2022; 14:143. [PMID: 36536472 PMCID: PMC9762114 DOI: 10.1186/s13073-022-01146-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 11/29/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Intratumoral heterogeneity (ITH) is a hallmark of clear cell renal cell carcinoma (ccRCC) that reflects the trajectory of evolution and influences clinical prognosis. Here, we seek to elucidate how ITH and tumor evolution during immune checkpoint inhibitor (ICI) treatment can lead to therapy resistance. METHODS Here, we completed a single-arm pilot study to examine the safety and feasibility of neoadjuvant nivolumab in patients with localized RCC. Primary endpoints were safety and feasibility of neoadjuvant nivolumab. Then, we spatiotemporally profiled the genomic and immunophenotypic characteristics of 29 ccRCC patients, including pre- and post-therapy samples from 17 ICI-treated patients. Deep multi-regional whole-exome and transcriptome sequencing were performed on 29 patients at different time points before and after ICI therapy. T cell repertoire was also monitored from tissue and peripheral blood collected from a subset of patients to study T cell clonal expansion during ICI therapy. RESULTS Angiogenesis, lymphocytic infiltration, and myeloid infiltration varied significantly across regions of the same patient, potentially confounding their utility as biomarkers of ICI response. Elevated ITH associated with a constellation of both genomic features (HLA LOH, CDKN2A/B loss) and microenvironmental features, including elevated myeloid expression, reduced peripheral T cell receptor (TCR) diversity, and putative neoantigen depletion. Hypothesizing that ITH may itself play a role in shaping ICI response, we derived a transcriptomic signature associated with neoantigen depletion that strongly associated with response to ICI and targeted therapy treatment in several independent clinical trial cohorts. CONCLUSIONS These results argue that genetic and immune heterogeneity jointly co-evolve and influence response to ICI in ccRCC. Our findings have implications for future biomarker development for ICI response across ccRCC and other solid tumors and highlight important features of tumor evolution under ICI treatment. TRIAL REGISTRATION The study was registered on ClinicalTrial.gov (NCT02595918) on November 4, 2015.
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Affiliation(s)
- Mahdi Golkaram
- Illumina, Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Fengshen Kuo
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Sounak Gupta
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Maria I Carlo
- Department of Medicine, Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, NY, 10065, USA
| | | | | | - Cerise Tang
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Vlad Makarov
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Phillip Rappold
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Kyle A Blum
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Chen Zhao
- Illumina, Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Rami Mehio
- Illumina, Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Shile Zhang
- Illumina, Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Jim Godsey
- Illumina, Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Traci Pawlowski
- Illumina, Inc., 5200 Illumina Way, San Diego, CA, 92122, USA
| | - Renzo G DiNatale
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Luc G T Morris
- Department of Surgery, Head & Neck Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Jeremy Durack
- Interventional Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Paul Russo
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Ritesh R Kotecha
- Department of Medicine, Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, NY, 10065, USA
| | - Jonathan Coleman
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Ying-Bei Chen
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Victor E Reuter
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Robert J Motzer
- Department of Medicine, Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, NY, 10065, USA
| | - Martin H Voss
- Department of Medicine, Genitourinary Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, NY, 10065, USA
| | - Li Liu
- Illumina, Inc., 5200 Illumina Way, San Diego, CA, 92122, USA.
| | - Ed Reznik
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
- Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
| | - Timothy A Chan
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, 44195, USA.
- Lerner Research Institute, Cleveland Clinic, Cleveland, OH, 44195, USA.
- National Center for Regenerative Medicine, Cleveland Clinic, Cleveland, OH, 44195, USA.
| | - A Ari Hakimi
- Immunogenomics and Precision Oncology Platform, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
- Urology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
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69
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Takahashi S, Narita S, Fujiyama N, Hatakeyama S, Kobayashi T, Kato R, Naito S, Sakatani T, Kashima S, Koizumi A, Yamamoto R, Nara T, Kanda S, Numakura K, Saito M, Obara W, Tsuchiya N, Ohyama C, Ogawa O, Habuchi T. Impact of germline HLA genotypes on clinical outcomes in patients with urothelial cancer treated with pembrolizumab. Cancer Sci 2022; 113:4059-4069. [PMID: 35848083 DOI: 10.1111/cas.15488] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 12/15/2022] Open
Abstract
Human leukocyte antigen class I (HLA-I) genotypes are suggested to influence the cancer response to checkpoint blockade immunotherapy. This study assessed the impact of germline HLA genotypes on clinical outcomes in patients with chemoresistant advanced urothelial cancer (UC) treated with pembrolizumab. Zygosity, supertypes, evolutionary divergency, and specific alleles of germline HLA-I and -II were evaluated using the Luminex technique in 108 patients with chemoresistant metastatic or locally advanced UC treated with pembrolizumab. Among the 108 patients, 69 died and 83 showed radiographic progression during follow-up. Homozygous for at least one HLA-I locus, absence of the HLA-A03 supertype, and high HLA-I evolutionary divergence were associated with a radiographic response, but were not associated with survival outcomes. Patients with the HLA-DQB1*03:01 allele had significantly lower disease control rates than patients without the allele (17.4% vs. 53.8%, p = 0.002); its presence was also an independent risk factor for progressive disease (hazard ratio 4.35, 95% confidence interval 1.03-18.46). Furthermore, patients with the HLA-DQB1*03:01 allele had significantly worse progression-free survival than patients without the allele (median progression-free survival 3.1 vs. 4.8 months, p = 0.035). There was no significant relationship between any HLA status and the incidence of severe adverse events. Several germline HLA genotypes, especially HLA-DQB1*03:01, may be associated with radiographic progression. However, their impact on treatment response is limited, and germline HLA genotypes was not independently associated with survival outcomes. Further prospective studies are needed to confirm the relationship between germline HLA genotypes and clinical outcomes in patients with chemoresistant advanced UC treated with pembrolizumab.
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Affiliation(s)
- Shuhei Takahashi
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Shintaro Narita
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Nobuhiro Fujiyama
- Clinical Research Support Center, Akita University Hospital, Akita, Japan
| | - Shingo Hatakeyama
- Department of Urology, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Takashi Kobayashi
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Renpei Kato
- Department of Urology, Iwate Medical School of Medicine, Iwate, Japan
| | - Sei Naito
- Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Toru Sakatani
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Soki Kashima
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Atsushi Koizumi
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Ryohei Yamamoto
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Taketoshi Nara
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Souhei Kanda
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Kazuyuki Numakura
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Mitsuru Saito
- Department of Urology, Akita University School of Medicine, Akita, Japan
| | - Wataru Obara
- Department of Urology, Iwate Medical School of Medicine, Iwate, Japan
| | - Norihiko Tsuchiya
- Department of Urology, Yamagata University Faculty of Medicine, Yamagata, Japan
| | - Chikara Ohyama
- Department of Urology, Hirosaki University School of Medicine, Hirosaki, Japan
| | - Osamu Ogawa
- Department of Urology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomonori Habuchi
- Department of Urology, Akita University School of Medicine, Akita, Japan
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70
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Groha S, Alaiwi SA, Xu W, Naranbhai V, Nassar AH, Bakouny Z, El Zarif T, Saliby RM, Wan G, Rajeh A, Adib E, Nuzzo PV, Schmidt AL, Labaki C, Ricciuti B, Alessi JV, Braun DA, Shukla SA, Keenan TE, Van Allen E, Awad MM, Manos M, Rahma O, Zubiri L, Villani AC, Fairfax B, Hammer C, Khan Z, Reynolds K, Semenov Y, Schrag D, Kehl KL, Freedman ML, Choueiri TK, Gusev A. Germline variants associated with toxicity to immune checkpoint blockade. Nat Med 2022; 28:2584-2591. [PMID: 36526723 PMCID: PMC10958775 DOI: 10.1038/s41591-022-02094-6] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 10/18/2022] [Indexed: 12/23/2022]
Abstract
Immune checkpoint inhibitors (ICIs) have yielded remarkable responses but often lead to immune-related adverse events (irAEs). Although germline causes for irAEs have been hypothesized, no individual variant associated with developing irAEs has been identified. We carried out a genome-wide association study of 1,751 patients on ICIs across 12 cancer types. We investigated two irAE phenotypes: (1) high-grade (3-5) and (2) all-grade events. We identified 3 genome-wide significant associations (P < 5 × 10-8) in the discovery cohort associated with all-grade irAEs: rs16906115 near IL7 (combined P = 3.6 × 10-11; hazard ratio (HR) = 2.1); rs75824728 near IL22RA1 (combined P = 3.5 × 10-8; HR = 1.8); and rs113861051 on 4p15 (combined P = 1.2 × 10-8, HR = 2.0); rs16906115 was replicated in 3 independent studies. The association near IL7 colocalized with the gain of a new cryptic exon for IL7, a critical regulator of lymphocyte homeostasis. Patients carrying the IL7 germline variant exhibited significantly increased lymphocyte stability after ICI initiation, which was itself predictive of downstream irAEs and improved survival.
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Affiliation(s)
- Stefan Groha
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Sarah Abou Alaiwi
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Wenxin Xu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Vivek Naranbhai
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Amin H Nassar
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Ziad Bakouny
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Talal El Zarif
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Renee Maria Saliby
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Guihong Wan
- Harvard Medical School, Boston, MA, USA
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - Ahmad Rajeh
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - Elio Adib
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Pier V Nuzzo
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Internal Medicine and Medical Specialties, School of Medicine, University of Genoa, Genoa, Italy
| | - Andrew L Schmidt
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Chris Labaki
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Biagio Ricciuti
- Lowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Joao Victor Alessi
- Department of Internal Medicine and Medical Specialties, School of Medicine, University of Genoa, Genoa, Italy
| | - David A Braun
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT, USA
| | - Sachet A Shukla
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Tanya E Keenan
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
| | - Eliezer Van Allen
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mark M Awad
- Department of Internal Medicine and Medical Specialties, School of Medicine, University of Genoa, Genoa, Italy
| | - Michael Manos
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Osama Rahma
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Alexandra-Chloe Villani
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | | | | | - Zia Khan
- Genentech, South San Francisco, CA, USA
| | - Kerry Reynolds
- Harvard Medical School, Boston, MA, USA
- Division of Medical Oncology, Bartlett, Massachusetts General Hospital, Boston, MA, USA
| | - Yevgeniy Semenov
- Harvard Medical School, Boston, MA, USA
- Department of Dermatology, Massachusetts General Hospital, Boston, MA, USA
| | - Deborah Schrag
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kenneth L Kehl
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew L Freedman
- Broad Institute of Harvard & MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Toni K Choueiri
- Harvard Medical School, Boston, MA, USA
- Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alexander Gusev
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of Harvard & MIT, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA.
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71
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Roussot N, Ghiringhelli F, Rébé C. Tumor Immunogenic Cell Death as a Mediator of Intratumor CD8 T-Cell Recruitment. Cells 2022; 11:cells11223672. [PMID: 36429101 PMCID: PMC9688834 DOI: 10.3390/cells11223672] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
The success of anticancer treatments relies on a long-term response which can be mediated by the immune system. Thus, the concept of immunogenic cell death (ICD) describes the capacity of dying cancer cells, under chemotherapy or physical stress, to express or release danger-associated molecular patterns (DAMPs). These DAMPs are essential to activate dendritic cells (DCs) and to stimulate an antigen presentation to CD8 cytotoxic cells. Then, activated CD8 T cells exert their antitumor effects through cytotoxic molecules, an effect which is transitory due to the establishment of a feedback loop leading to T-cell exhaustion. This phenomenon can be reversed using immune checkpoint blockers (ICBs), such as anti-PD-1, PD-L1 or CTLA-4 Abs. However, the blockade of these checkpoints is efficient only if the CD8 T cells are recruited within the tumor. The CD8 T-cell chemoattraction is mediated by chemokines. Hence, an important question is whether the ICD can not only influence the DC activation and resulting CD8 T-cell activation but can also favor the chemokine production at the tumor site, thus triggering their recruitment. This is the aim of this review, in which we will decipher the role of some chemokines (and their specific receptors), shown to be released during ICD, on the CD8 T-cell recruitment and antitumor response. We will also analyze the clinical applications of these chemokines as predictive or prognostic markers or as new targets which should be used to improve patients' response.
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Affiliation(s)
- Nicolas Roussot
- Cancer Biology Transfer Platform, Centre Georges-François Leclerc, F-21000 Dijon, France
- Equipe Labellisée Ligue Contre le Cancer, Centre de Recherche INSERM LNC-UMR1231, F-21000 Dijon, France
- UFR Sciences de Santé, University Bourgogne Franche-Comté, F-21000 Dijon, France
- Department of Medical Oncology, Centre Georges-François Leclerc, F-21000 Dijon, France
| | - François Ghiringhelli
- Cancer Biology Transfer Platform, Centre Georges-François Leclerc, F-21000 Dijon, France
- Equipe Labellisée Ligue Contre le Cancer, Centre de Recherche INSERM LNC-UMR1231, F-21000 Dijon, France
- UFR Sciences de Santé, University Bourgogne Franche-Comté, F-21000 Dijon, France
- Department of Medical Oncology, Centre Georges-François Leclerc, F-21000 Dijon, France
- Genetic and Immunology Medical Institute, F-21000 Dijon, France
- Correspondence: (F.G.); (C.R.)
| | - Cédric Rébé
- Cancer Biology Transfer Platform, Centre Georges-François Leclerc, F-21000 Dijon, France
- Equipe Labellisée Ligue Contre le Cancer, Centre de Recherche INSERM LNC-UMR1231, F-21000 Dijon, France
- UFR Sciences de Santé, University Bourgogne Franche-Comté, F-21000 Dijon, France
- Correspondence: (F.G.); (C.R.)
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72
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Anagnostou V, Landon BV, Medina JE, Forde P, Velculescu VE. Translating the evolving molecular landscape of tumors to biomarkers of response for cancer immunotherapy. Sci Transl Med 2022; 14:eabo3958. [PMID: 36350985 PMCID: PMC9844537 DOI: 10.1126/scitranslmed.abo3958] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapeutics, triggering studies to understand the molecular and cellular wiring of response and resistance. Our increased understanding of the underlying biology of response to ICI has enabled the investigation of tumor-intrinsic and -extrinsic features that may predict therapeutic outcomes. In parallel, liquid biopsy measurements of circulating tumor DNA (ctDNA) can be used to assess real-time molecular responses and guide clinical decisions during ICI. The combination of these approaches provides a deeper understanding of cancer biology, immunoediting, and evolution during ICI and promise to extend the utility of immunotherapies for patients with cancer.
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73
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Ma X, Chan TA. Solving the puzzle of what makes immunotherapies work. Trends Cancer 2022; 8:890-900. [PMID: 35933298 PMCID: PMC10109520 DOI: 10.1016/j.trecan.2022.06.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 02/07/2023]
Abstract
The rapid adoption of immune checkpoint blockade (ICB) therapies has led to a need to understand the mechanistic drivers of efficacy and the identification of novel biomarkers that enrich for patients who benefit from ICB therapy. Here, we provide a perspective on emerging biomarker candidates, their underlying biological mechanisms, and how they may fit into the current landscape of ICB biomarkers. We discuss new frameworks to identify and evaluate biomarker candidates and review the opportunities and challenges of utilizing biomarker-derived models to facilitate the development of new immunotherapies.
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Affiliation(s)
- Xiaoxiao Ma
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH 44195, USA; Case Western School of Medicine, Cleveland, OH 44106, USA.
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74
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Lee CK, Rha SY, Kim HS, Jung M, Kang B, Che J, Kwon WS, Park S, Bae WK, Koo DH, Shin SJ, Kim H, Jeung HC, Zang DY, Lee SK, Nam CM, Chung HC. A single arm phase Ib/II trial of first-line pembrolizumab, trastuzumab and chemotherapy for advanced HER2-positive gastric cancer. Nat Commun 2022; 13:6002. [PMID: 36224176 PMCID: PMC9556512 DOI: 10.1038/s41467-022-33267-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 09/09/2022] [Indexed: 12/24/2022] Open
Abstract
In this multi-center phase II trial, we evaluated the efficacy and safety of a quadruplet regimen (pembrolizumab, trastuzumab, and doublet chemotherapy) as first-line therapy for unresectable or metastatic human epidermal growth factor receptor 2 (HER2)-positive advanced gastric cancer (AGC) (NCT02901301). The primary endpoints were recommended phase 2 dose (RP2D) for phase Ib and objective response rate (ORR) for phase II. The secondary endpoints included progression-free survival (PFS), overall survival (OS), duration of response, time to response and safety. Without dose-limiting or unexpected toxicities, the starting dose in the phase Ib trial was selected as RP2D. In 43 patients, the primary endpoint was achieved: the objective response rate was 76.7% (95% confidence interval [CI]: 61.4-88.2), with complete and partial responses in 14% and 62.8% of patients, respectively. The median progression-free survival, overall survival, and duration of response were 8.6 months, 19.3 months, and 10.8 months, respectively. No patients discontinued pembrolizumab because of immune-related adverse events. Programmed death ligand-1 status was not related to survival. Post hoc analyses of pretreatment tumor specimens via targeted sequencing indicated that ERBB2 amplification, RTK/RAS pathway alterations, and high neoantigen load corrected by HLA-B were positively related to survival. The current quadruplet regimen shows durable efficacy and safety for patients with HER2-positive AGC.
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Affiliation(s)
- Choong-Kun Lee
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.,Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Sun Young Rha
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.,Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Hyo Song Kim
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.,Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Minkyu Jung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.,Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Beodeul Kang
- Department of Medical Oncology, CHA Bundang Medical Center, CHA University, Seongnam, South Korea
| | - Jingmin Che
- Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Woo Sun Kwon
- Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Sejung Park
- Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea.,Department of Biostatistics and Computing, Yonsei University College of Medicine, Seoul, South Korea
| | - Woo Kyun Bae
- Division of Hematology-Oncology, Department of Internal Medicine, Chonnam National University Medical School and Hwasun Hospital, Jeollanam-do, South Korea
| | - Dong-Hoe Koo
- Division of Hematology/Oncology, Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Su-Jin Shin
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Hyunki Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, South Korea
| | - Hei-Cheul Jeung
- Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Dae Young Zang
- Division of Hematology-Oncology, Department of Internal Medicine, Hallym University Medical Center, Hallym University College of Medicine, Anyang, South Korea
| | - Sang Kil Lee
- Division of Gastroenterology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Chung Mo Nam
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Hyun Cheol Chung
- Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea. .,Sondang Institute for Cancer Research, Yonsei University College of Medicine, Seoul, South Korea.
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75
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HLA-B evolutionary divergence is associated with outcomes after SARS-CoV-2 infection. Hum Immunol 2022; 83:803-807. [PMID: 36109290 PMCID: PMC9464580 DOI: 10.1016/j.humimm.2022.09.004] [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: 05/29/2022] [Revised: 07/28/2022] [Accepted: 09/06/2022] [Indexed: 12/04/2022]
Abstract
We examined the correlation between class I HLA evolutionary divergence (HED), a surrogate for the capacity to present different peptides, and the outcomes of 234 adult inpatients with confirmed SARS-CoV-2 infection. Genomic DNA was extracted from peripheral blood and genotyped by next-generation sequencing (NGS). HED scores for HLA class I (HLA-A, -B, and -C) genotypes were calculated using Grantham’s distance. Higher HED scores for HLA-B, but not HLA-A or -C, are significantly associated with a decreased probability of poor outcomes including ICU admission, mechanical ventilation, and death (OR = 0.93; P = 0.04) in the univariate analysis. In the multivariate analysis, increased HLA-B HED score, younger age, and no comorbidity were independently associated with favorable outcomes (P = 0.02, P = 0.01, and P = 0.05, respectively). This finding is consistent with the notion that broader peptide repertoires presented by class I HLA may be beneficial in infection control.
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76
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Pagliuca S, Gurnari C, Rubio MT, Visconte V, Lenz TL. Individual HLA heterogeneity and its implications for cellular immune evasion in cancer and beyond. Front Immunol 2022; 13:944872. [PMID: 36131910 PMCID: PMC9483928 DOI: 10.3389/fimmu.2022.944872] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/17/2022] [Indexed: 01/07/2023] Open
Abstract
Structural and functional variability of human leukocyte antigen (HLA) is the foundation for competent adaptive immune responses against pathogen and tumor antigens as it assures the breadth of the presented immune-peptidome, theoretically sustaining an efficient and diverse T cell response. This variability is presumably the result of the continuous selection by pathogens, which over the course of evolution shaped the adaptive immune system favoring the assortment of a hyper-polymorphic HLA system able to elaborate efficient immune responses. Any genetic alteration affecting this diversity may lead to pathological processes, perturbing antigen presentation capabilities, T-cell reactivity and, to some extent, natural killer cell functionality. A highly variable germline HLA genotype can convey immunogenetic protection against infections, be associated with tumor surveillance or influence response to anti-neoplastic treatments. In contrast, somatic aberrations of HLA loci, rearranging the original germline configuration, theoretically decreasing its variability, can facilitate mechanisms of immune escape that promote tumor growth and immune resistance. The purpose of the present review is to provide a unified and up-to-date overview of the pathophysiological consequences related to the perturbations of the genomic heterogeneity of HLA complexes and their impact on human diseases, with a special focus on cancer.
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Affiliation(s)
- Simona Pagliuca
- Translational Hematology and Oncology Research Department, Cleveland Clinic, Cleveland, OH, United States
- Service d’hématologie Clinique, Hôpital Brabois, CHRU Nancy and CNRS UMR 7365 IMoPa, Biopole de l’Université de Loarraine, Vandoeuvre les Nancy, France
| | - Carmelo Gurnari
- Translational Hematology and Oncology Research Department, Cleveland Clinic, Cleveland, OH, United States
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Marie Thérèse Rubio
- Service d’hématologie Clinique, Hôpital Brabois, CHRU Nancy and CNRS UMR 7365 IMoPa, Biopole de l’Université de Loarraine, Vandoeuvre les Nancy, France
| | - Valeria Visconte
- Translational Hematology and Oncology Research Department, Cleveland Clinic, Cleveland, OH, United States
| | - Tobias L. Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
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77
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Bai X, Shoushtari AN, Betof Warner A, Si L, Tang B, Cui C, Yang X, Wei X, Quach HT, Cann CG, Zhang MZ, Pallan L, Harvey C, Kim MS, Kasumova G, Sharova T, Cohen JV, Lawrence DP, Freedman C, Fadden RM, Rubin KM, Frederick DT, Flaherty KT, Long GV, Menzies AM, Sullivan RJ, Boland GM, Johnson DB, Guo J. Benefit and toxicity of programmed death-1 blockade vary by ethnicity in patients with advanced melanoma: an international multicentre observational study. Br J Dermatol 2022; 187:401-410. [PMID: 35293617 DOI: 10.1111/bjd.21241] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/20/2022] [Accepted: 03/11/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Programmed cell death receptor-1 (PD-1) monotherapy is a standard treatment for advanced cutaneous melanoma, but its efficacy and toxicity are defined in white populations and remain poorly characterized in other ethnic groups, such as East Asian, Hispanic and African. OBJECTIVES To determine the efficacy and toxicity of PD-1 monotherapy in different ethnic groups. METHODS Clinical data for patients with unresectable or advanced melanoma treated with anti-PD-1 monotherapy between 2009 and 2019 were collected retrospectively from five independent institutions in the USA, Australia and China. Tumour response, survival and immune-related adverse events (irAEs) were compared by ethnicity (white vs. East Asian/Hispanic/African) across different melanoma subtypes: nonacral cutaneous (NAC)/unknown primary (UP) and acral/mucosal/uveal. RESULTS In total, 1135 patients were included. White patients had significantly higher objective response rate (ORR) [54%, 95% confidence interval (CI) 50-57% vs. 20%, 95% CI 13-28%; adjusted P < 0·001] and longer progression-free survival (14·2 months, 95% CI 10·7-20·3 vs. 5·4 months, 95% CI 4·5-7·0; adjusted P < 0·001) than East Asian, Hispanic and African patients in the NAC and UP subtypes. White ethnicity remained independently associated with a higher ORR (odds ratio 4·10, 95% CI 2·48-6·81; adjusted P < 0·001) and longer PFS (hazard ratio 0·58, 95% CI 0·46-0·74; adjusted P < 0·001) in multivariate analyses after adjustment for age, sex, primary anatomical location, metastasis stage, baseline lactate dehydrogenase level, mutational status and prior systemic treatment. White and East Asian/Hispanic/African patients shared similar ORR and progression-free survival in acral/mucosal/uveal melanomas. Similar melanoma-subtype-specific ethnic discrepancies were observed in complete response rate and overall survival. White patients had higher rates of gastrointestinal irAEs but lower rates of endocrine, liver and other rare types of irAEs. These differences in irAEs by ethnicity were not attributable to varying melanoma subtypes. CONCLUSIONS Ethnic discrepancy in clinical benefit is specific to melanoma subtype, and East Asian, Hispanic and African patients with NAC and UP melanomas have poorer clinical benefits than previously recognized. The ethnic discrepancy in toxicity observed across different melanoma subtypes warrants an ethnicity-based irAE surveillance strategy. More research is needed to elucidate the molecular and immunological determinants of these differences. What is already known about this topic? There is a great difference in response to immunotherapy between different subtypes of melanoma (cutaneous, mucosal, acral and uveal) in patients with advanced disease. What does this study add? Our data show for the first time that there are differences between different ethnic groups in terms of both response and toxicity to immunotherapy beyond the well-appreciated discrepancies due to melanoma subtype.
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Affiliation(s)
- Xue Bai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital and Institute, Beijing, China
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Alexander N Shoushtari
- Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Allison Betof Warner
- Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY, USA
| | - Lu Si
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital and Institute, Beijing, China
| | - Bixia Tang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital and Institute, Beijing, China
| | - Chuanliang Cui
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital and Institute, Beijing, China
| | - Xiaoling Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital and Institute, Beijing, China
- Department of Medical Oncology, Shanxi Bethune Hospital, Shanxi, China
| | - Xiaoting Wei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital and Institute, Beijing, China
| | - Henry T Quach
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christopher G Cann
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michael Z Zhang
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lalit Pallan
- Melanoma Institute Australia, The University of Sydney, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Catriona Harvey
- Melanoma Institute Australia, The University of Sydney, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Michelle S Kim
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Gyulnara Kasumova
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tatyana Sharova
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Justine V Cohen
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Donald P Lawrence
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Christine Freedman
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Riley M Fadden
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Krista M Rubin
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Dennie T Frederick
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Keith T Flaherty
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Alexander M Menzies
- Melanoma Institute Australia, The University of Sydney, Royal North Shore and Mater Hospitals, Sydney, Australia
| | - Ryan J Sullivan
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Genevieve M Boland
- Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Douglas B Johnson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jun Guo
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education, Beijing), Department of Melanoma and Sarcoma, Peking University Cancer Hospital and Institute, Beijing, China
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78
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Gong X, Karchin R. Pan-Cancer HLA Gene-Mediated Tumor Immunogenicity and Immune Evasion. Mol Cancer Res 2022; 20:1272-1283. [PMID: 35533264 PMCID: PMC9357147 DOI: 10.1158/1541-7786.mcr-21-0886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 02/16/2022] [Accepted: 04/29/2022] [Indexed: 02/07/2023]
Abstract
Human leukocyte antigen (HLA) expression contributes to the activation of antitumor immunity through interactions with T-cell receptors. Pan-cancer HLA-mediated immunogenicity and immunoediting mechanisms have not been systematically studied previously. In a retrospective analysis of 33 tumor types from the Cancer Genome Atlas (TCGA), we characterized the differential expression of HLA class I and class II genes across various oncogenic pathways and immune subtypes. While HLA I genes were upregulated in all immunogenically hot tumors, HLA II genes were upregulated in an inflammatory immune subtype associated with best prognosis and were systematically downregulated in specific oncogenic pathways. A subset of immunogenically hot tumors which upregulated HLA class I but not class II genes exploited HLA-mediated escape strategies. Furthermore, with a machine learning model, we demonstrated that HLA gene expression data can be used to predict the immune subtypes of patients receiving immune checkpoint blockade and stratify patient survival. Interestingly, tumors with the highest immune infiltration did not have the best prognosis but showed significantly higher immune exhaustion. IMPLICATIONS Taken together, we highlight the prognostic potential of HLA genes in immunotherapies and suggest that higher tumor immunogenicity mediated by HLA expression may sometimes lead to tumor escape under strong selective pressure.
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Affiliation(s)
- Xutong Gong
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA,Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Rachel Karchin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA,Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA,Department of Oncology, Johns Hopkins Medicine, Baltimore, MD 21287, USA,corresponding author Rachel Karchin, Ph.D., 217A Hackerman Hall, 3400 N. Charles St., Baltimore, MD USA 21218, ph: +1 410 516 5578, fax: +1 410 516 5294,
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79
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Cuppens K, Baas P, Geerdens E, Cruys B, Froyen G, Decoster L, Thomeer M, Maes B. HLA-I diversity and tumor mutational burden by comprehensive next-generation sequencing as predictive biomarkers for the treatment of non-small cell lung cancer with PD-(L)1 inhibitors. Lung Cancer 2022; 170:1-10. [DOI: 10.1016/j.lungcan.2022.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 05/26/2022] [Accepted: 05/28/2022] [Indexed: 10/18/2022]
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80
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Gunjur A, Manrique‐Rincón AJ, Klein O, Behren A, Lawley TD, Welsh SJ, Adams DJ. 'Know thyself' - host factors influencing cancer response to immune checkpoint inhibitors. J Pathol 2022; 257:513-525. [PMID: 35394069 PMCID: PMC9320825 DOI: 10.1002/path.5907] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/01/2022] [Accepted: 04/05/2022] [Indexed: 11/30/2022]
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionised oncology and are now standard-of-care for the treatment of a wide variety of solid neoplasms. However, tumour responses remain unpredictable, experienced by only a minority of ICI recipients across malignancy types. Therefore, there is an urgent need for better predictive biomarkers to identify a priori the patients most likely to benefit from these therapies. Despite considerable efforts, only three such biomarkers are FDA-approved for clinical use, and all rely on the availability of tumour tissue for immunohistochemical staining or genomic assays. There is emerging evidence that host factors - for example, genetic, metabolic, and immune factors, as well as the composition of one's gut microbiota - influence the response of a patient's cancer to ICIs. Tantalisingly, some of these factors are modifiable, paving the way for co-therapies that may enhance the therapeutic index of these treatments. Herein, we review key host factors that are of potential biomarker value for response to ICI therapy, with a particular focus on the proposed mechanisms for these influences. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Ashray Gunjur
- Experimental Cancer Genetics, Wellcome Sanger InstituteHinxtonUK,Olivia Newton‐John Cancer Research InstituteLa Trobe University School of Cancer MedicineHeidelbergAustralia
| | - Andrea J Manrique‐Rincón
- Experimental Cancer Genetics, Wellcome Sanger InstituteHinxtonUK,Cambridge Institute of Therapeutic Immunology & Infectious Disease, Department of MedicineUniversity of CambridgeCambridgeUK
| | - Oliver Klein
- Olivia Newton‐John Cancer Research InstituteLa Trobe University School of Cancer MedicineHeidelbergAustralia,Department of Medical OncologyAustin HealthHeidelbergAustralia
| | - Andreas Behren
- Olivia Newton‐John Cancer Research InstituteLa Trobe University School of Cancer MedicineHeidelbergAustralia,Department of MedicineUniversity of MelbourneParkvilleAustralia
| | | | - Sarah J Welsh
- Department of SurgeryUniversity of CambridgeCambridgeUK,Cambridge University Hospitals NHS Foundation TrustCambridgeUK
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Sanger InstituteHinxtonUK
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81
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Chen C, Wu Y, Chen K, Xia Z, Liu X, Zhang C, Zhao H, Shen A. Identification and Validation of Necroptosis-Related LncRNA Signature in Hepatocellular Carcinoma for Prognosis Estimation and Microenvironment Status. Front Genet 2022; 13:898507. [PMID: 35754846 PMCID: PMC9214229 DOI: 10.3389/fgene.2022.898507] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 05/16/2022] [Indexed: 01/05/2023] Open
Abstract
Background: Hepatocellular carcinoma (HCC) is among malignancies with the highest fatality toll globally and minimal therapeutic options. Necroptosis is a programmed form of necrosis or inflammatory cell death, which can affect prognosis and microenvironmental status of HCC. Therefore, we aimed to explore the prognostic value of necroptosis-related lncRNAs (NRLs) in HCC and the role of the tumor microenvironment (TME) in immunotherapy. Methods: The RNA-sequencing data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). NRLs were identified by Pearson correlation analysis. The signature was constructed using the LASSO-Cox regression analysis and evaluated using the receiver operating characteristic curve (ROC) and the area under the Kaplan-Meier curve. The nomogram was built based on clinical information and risk score. Gene set enrichment analysis (GSEA), immunoassay, half-maximum inhibitory concentration (IC50) analysis of the risk group, and the HCC subtype identification based on NRLs were also carried out. Finally, we detected the expression of lncRNAs in HCC tissues and cell lines in vitro. Results: A total of 508 NRLs were screened out, and seven NRLs were constructed as a risk stratification system to classify patients into distinct low- and high-risk groups. Patients in the high-risk group had a significantly lower overall survival (OS) than those in the low-risk group. Using multivariate Cox regression analysis, we found that the risk score was an independent predictor of OS. Functional analysis showed that the immune status of different patients was different. The IC50 analysis of chemotherapy demonstrated that patients in the high-risk group were more sensitive to commonly prescribed drugs. qRT-PCR showed that three high-risk lncRNAs were upregulated in drug-resistant cells, and the expression in HCC tissues was higher than that in adjacent tissues. Conclusion: The prediction signature developed in this study can be used to assess the prognosis and microenvironment of HCC patients, and serve as a new benchmark for HCC treatment selection.
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Affiliation(s)
- Cong Chen
- Department of Interventional Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Yumeng Wu
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Kang Chen
- Department of Interventional Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Zicong Xia
- Department of Interventional Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Xiaokan Liu
- Department of Interventional Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Chaojie Zhang
- Department of Interventional Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Hui Zhao
- Department of Interventional Radiology, Affiliated Hospital of Nantong University, Nantong, China
| | - Aiguo Shen
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
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82
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Hou Y, Zhang R, Zong J, Wang W, Zhou M, Yan Z, Li T, Gan W, Lv S, Zeng Z, Yang M. Comprehensive Analysis of a Cancer-Immunity Cycle-Based Signature for Predicting Prognosis and Immunotherapy Response in Patients With Colorectal Cancer. Front Immunol 2022; 13:892512. [PMID: 35711437 PMCID: PMC9193226 DOI: 10.3389/fimmu.2022.892512] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/02/2022] [Indexed: 12/31/2022] Open
Abstract
Immune checkpoint blockade (ICB) has been recognized as a promising immunotherapy for colorectal cancer (CRC); however, most patients have little or no clinical benefit. This study aimed to develop a novel cancer-immunity cycle–based signature to stratify prognosis of patients with CRC and predict efficacy of immunotherapy. CRC samples from The Cancer Genome Atlas (TCGA) were used as the training set, while the RNA data from Gene Expression Omnibus (GEO) data sets and real-time quantitative PCR (RT-qPCR) data from paired frozen tissues were used for validation. We built a least absolute shrinkage and selection operator (LASSO)-Cox regression model of the cancer-immunity cycle–related gene signature in CRC. Patients who scored low on the risk scale had a better prognosis than those who scored high. Notably, the signature was an independent prognostic factor in multivariate analyses, and to improve prognostic classification and forecast accuracy for individual patients, a scoring nomogram was created. The comprehensive results revealed that the low-risk patients exhibited a higher degree of immune infiltration, a higher immunoreactivity phenotype, stronger expression of immune checkpoint–associated genes, and a superior response to ICB therapy. Furthermore, the risk model was closely related to the response to multiple chemotherapeutic drugs. Overall, we developed a reliable cancer-immunity cycle–based risk model to predict the prognosis, the molecular and immune status, and the immune benefit from ICB therapy, which may contribute greatly to accurate stratification and precise immunotherapy for patients with CRC.
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Affiliation(s)
- Yufang Hou
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Rixin Zhang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinbao Zong
- Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, China.,Qingdao Hospital of Traditional Chinese Medicine, The Affiliated Qingdao Hiser Hospital of Qingdao University, Qingdao, China
| | - Weiqi Wang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Mingxuan Zhou
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zheng Yan
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tiegang Li
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenqiang Gan
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Silin Lv
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zifan Zeng
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Min Yang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicine, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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83
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Halima A, Vuong W, Chan TA. Next-generation sequencing: unraveling genetic mechanisms that shape cancer immunotherapy efficacy. J Clin Invest 2022; 132:154945. [PMID: 35703181 PMCID: PMC9197511 DOI: 10.1172/jci154945] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Immunity is governed by fundamental genetic processes. These processes shape the nature of immune cells and set the rules that dictate the myriad complex cellular interactions that power immune systems. Everything from the generation of T cell receptors and antibodies, control of epitope presentation, and recognition of pathogens by the immunoediting of cancer cells is, in large part, made possible by core genetic mechanisms and the cellular machinery that they encode. In the last decade, next-generation sequencing has been used to dissect the complexities of cancer immunity with potent effect. Sequencing of exomes and genomes has begun to reveal how the immune system recognizes “foreign” entities and distinguishes self from non-self, especially in the setting of cancer. High-throughput analyses of transcriptomes have revealed deep insights into how the tumor microenvironment affects immunotherapy efficacy. In this Review, we discuss how high-throughput sequencing has added to our understanding of how immune systems interact with cancer cells and how cancer immunotherapies work.
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Affiliation(s)
- Ahmed Halima
- Department of Radiation Oncology, Taussig Cancer Institute, and
| | - Winston Vuong
- Department of Radiation Oncology, Taussig Cancer Institute, and
| | - Timothy A Chan
- Department of Radiation Oncology, Taussig Cancer Institute, and.,Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, Ohio, USA.,National Center for Regenerative Medicine, Cleveland, Ohio, USA
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84
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Hammer C, Mellman I. Coming of Age: Human Genomics and the Cancer-Immune Set Point. Cancer Immunol Res 2022; 10:674-679. [PMID: 35471657 PMCID: PMC9306278 DOI: 10.1158/2326-6066.cir-21-1017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/07/2022] [Accepted: 03/15/2022] [Indexed: 01/07/2023]
Abstract
Cancer is largely a disease of the tumor cell genome. As a result, the majority of genetics research in oncology has concentrated on the role of tumor somatic mutations, as well as inherited risk variants, in disease susceptibility and response to targeted treatments. The advent and success of cancer immunotherapies, however, have opened new perspectives for the investigation of the role of inherited genetic variation in codetermining outcome and safety. It is increasingly likely that the entirety of germline genetic variation involved in regulating immune responses accounts for a significant fraction of the observed variability in responses to cancer immunotherapies. Although germline genetic data from patients treated with cancer immunotherapies are still scarce, this line of research benefits from a vast body of knowledge derived from studies into autoimmune and infectious disease phenotypes, thus not requiring a start from a blank slate. Here, we discuss how a thorough investigation of genomic variation relevant for individuals' variability in (auto)immune responses can contribute to the discovery of novel treatment approaches and drug targets, and yield predictive biomarkers to stratify cancer patient populations in precision and personalized medicine settings.
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Affiliation(s)
- Christian Hammer
- Genentech, South San Francisco, California.,Corresponding Author: Christian Hammer, Genentech, Inc., South San Francisco, CA 94080. Phone: 650-452-9622; E-mail:
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85
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Cancer evolution: special focus on the immune aspect of cancer. Semin Cancer Biol 2022; 86:420-435. [PMID: 35589072 DOI: 10.1016/j.semcancer.2022.05.006] [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: 12/15/2021] [Revised: 04/18/2022] [Accepted: 05/12/2022] [Indexed: 11/20/2022]
Abstract
Cancer is an evolutionary disease. Intra-tumor heterogeneity (ITH), which describes the diversity within individual tumors, sets the foundation for evolution. The fitness of tumor cells is determined by their microenvironment, which exerts intense selection pressure that generally favors cells with survival and proliferation advantages. It has been revealed that host immunity dramatically influences the evolutionary trajectory of cancer. As technologies advance, a refined map of the immune system's involvement in cancer evolution has gradually come to our knowledge. Here we specifically view cancer through the lens of evolutionary immunological biology. We will cover the neoplastic evolution under immunosurveillance, including how the host immunity shapes the tumor evolutionary trajectory and how progressive tumors modulate the host immunity to survive. A comprehensive understanding of the interplay between cancer evolution and cancer immunity provides clues to combating cancer strategically.
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86
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Ladányi A, Hegyi B, Balatoni T, Liszkay G, Rohregger R, Waldnig C, Dudás J, Ferrone S. HLA Class I Downregulation in Progressing Metastases of Melanoma Patients Treated With Ipilimumab. Pathol Oncol Res 2022; 28:1610297. [PMID: 35531074 PMCID: PMC9073691 DOI: 10.3389/pore.2022.1610297] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 03/30/2022] [Indexed: 12/23/2022]
Abstract
Characterization of the molecular mechanisms underlying antitumor immune responses and immune escape mechanisms has resulted in the development of more effective immunotherapeutic strategies, including immune checkpoint inhibitor (ICI) therapy. ICIs can induce durable responses in patients with advanced cancer in a wide range of cancer types, however, the majority of the patients fail to respond to this therapy or develop resistance in the course of the treatment. Information about the molecular mechanisms underlying primary and acquired resistance is limited. Although HLA class I molecules are crucial in the recognition of tumor antigens by cytotoxic T lymphocytes, only a few studies have investigated the role of their expression level on malignant cells in ICI resistance. To address this topic, utilizing immunohistochemical staining with monoclonal antibodies (mAbs) we analyzed HLA class I expression level in pre-treatment and post-treatment tumor samples from melanoma patients treated with ipilimumab. Twenty-nine metastases removed from six patients were available for the study, including 18 pre-treatment and 11 post-treatment lesions. Compared to metastases excised before ipilimumab therapy, post-treatment lesions displayed a significantly lower HLA class I expression level on melanoma cells; HLA class I downregulation was most marked in progressing metastases from nonresponding patients. We also evaluated the level of infiltration by CD8+ T cells and NK cells but did not find consistent changes between pre- and post-treatment samples. Our results indicate the potential role of HLA class I downregulation as a mechanism of ICI resistance.
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Affiliation(s)
- Andrea Ladányi
- Department of Surgical and Molecular Pathology, National Institute of Oncology, Budapest, Hungary
| | - Barbara Hegyi
- Department of Thoracic and Abdominal Tumors and Clinical Pharmacology, National Institute of Oncology, Budapest, Hungary.,Doctoral School of Pathological Sciences, Semmelweis University, Budapest, Hungary
| | - Tímea Balatoni
- Department of Oncodermatology, National Institute of Oncology, Budapest, Hungary
| | - Gabriella Liszkay
- Department of Oncodermatology, National Institute of Oncology, Budapest, Hungary
| | - Raphael Rohregger
- Department of Otorhinolaryngology and Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Christoph Waldnig
- Department of Otorhinolaryngology and Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - József Dudás
- Department of Otorhinolaryngology and Head and Neck Surgery, Medical University of Innsbruck, Innsbruck, Austria
| | - Soldano Ferrone
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
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87
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Ghiringhelli F. MAPK signaling regulates the efficacy of chemoimmunotherapy. Mol Cell Oncol 2022; 9:2054652. [PMID: 35529902 PMCID: PMC9067517 DOI: 10.1080/23723556.2022.2054652] [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] [Indexed: 11/02/2022]
Abstract
Resistance to chemoimmunotherapy is a major issue for cancer care. We recently unravelled the role of mitogen-activated protein kinase (MAPK) to limit the antitumor efficacy of such combination. Inhibitor of MAPK pathway using mitogen-activated protein kinase (MEK) inhibitor in combination with chemotherapy triggers mitophagy of cancer cells, which induces the release of mitochondrial DNA that interact with Toll Like receptor 9 (TLR9) to promote the production of the chemokine CXCL10. CXCL10 could then turn cold tumor into hot tumor, thus leading to improve efficacy of chemoimmunotherapy.
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Affiliation(s)
- François Ghiringhelli
- Leclerc, Equipe Labellisée Ligue Contre le CancerCancer Biology Transfer Platform, Centre Georges-François, Dijon, France.,Centre de Recherche INSERM LNC-UMR1231, Dijon, France.,Univ. Bourgogne Franche-Comté, Dijon, France.,Department of Medical Oncology, Centre Georges-François Leclerc, Dijon, France.,Genetic and Immunology Medical Institute, Dijon, France
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88
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Pich O, Bailey C, Watkins TBK, Zaccaria S, Jamal-Hanjani M, Swanton C. The translational challenges of precision oncology. Cancer Cell 2022; 40:458-478. [PMID: 35487215 DOI: 10.1016/j.ccell.2022.04.002] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/16/2022] [Accepted: 04/05/2022] [Indexed: 12/11/2022]
Abstract
The translational challenges in the field of precision oncology are in part related to the biological complexity and diversity of this disease. Technological advances in genomics have facilitated large sequencing efforts and discoveries that have further supported this notion. In this review, we reflect on the impact of these discoveries on our understanding of several concepts: cancer initiation, cancer prevention, early detection, adjuvant therapy and minimal residual disease monitoring, cancer drug resistance, and cancer evolution in metastasis. We discuss key areas of focus for improving cancer outcomes, from biological insights to clinical application, and suggest where the development of these technologies will lead us. Finally, we discuss practical challenges to the wider adoption of molecular profiling in the clinic and the need for robust translational infrastructure.
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Affiliation(s)
- Oriol Pich
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Chris Bailey
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Thomas B K Watkins
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Department of Medical Oncology, University College London Hospitals, London, UK
| | - Charles Swanton
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
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89
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Ranti D, Bieber C, Wang YS, Sfakianos JP, Horowitz A. Natural killer cells: unlocking new treatments for bladder cancer. Trends Cancer 2022; 8:698-710. [DOI: 10.1016/j.trecan.2022.03.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Revised: 03/29/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
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90
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Aisagbonhi O, Morris GP. Human Leukocyte Antigens in Pregnancy and Preeclampsia. Front Genet 2022; 13:884275. [PMID: 35571013 PMCID: PMC9093604 DOI: 10.3389/fgene.2022.884275] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
Preeclampsia is a pregnancy-induced hypertensive disorder, the pathophysiology of which includes underlying maternal cardiovascular disease, deficient spiral artery remodeling during placenta development, and inflammatory immune responses at the maternal-fetal interface. Human leukocyte antigens (HLA) are major histocompatibility complex molecules essential for the recognition of foreign antigens that is central to immune defense against pathogens and critical determinants for the immune system discriminating between self and non-self tissues, such as in transplantation. Pregnancy represents a naturally existing “transplantation”, where the maternal immune system must be immunologically tolerant to the developing fetus which is 50% allogeneic. It is then unsurprising that HLA also influence normal pregnancy and pregnancy complications including preeclampsia. Here we review the role of classical and non-classical HLA molecules in influencing normal physiologic function during pregnancy and describe the association of HLA with pathophysiology in preeclampsia.
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91
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Wang L, Zhang H, Pan C, Yi J, Cui X, Li N, Wang J, Gao Z, Wu D, Chen J, Jiang J, Chu Q. Predicting Durable Responses to Immune Checkpoint Inhibitors in Non-Small-Cell Lung Cancer Using a Multi-Feature Model. Front Immunol 2022; 13:829634. [PMID: 35529874 PMCID: PMC9072668 DOI: 10.3389/fimmu.2022.829634] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 03/22/2022] [Indexed: 12/24/2022] Open
Abstract
Due to the complex mechanisms affecting anti-tumor immune response, a single biomarker is insufficient to identify patients who will benefit from immune checkpoint inhibitors (ICIs) treatment. Therefore, a comprehensive predictive model is urgently required to predict the response to ICIs. A total of 162 non-small-cell lung cancer (NSCLC) patients undergoing ICIs treatment from three independent cohorts were enrolled and used as training and test cohorts (training cohort = 69, test cohort1 = 72, test cohort2 = 21). Eight genomic markers were extracted or calculated for each patient. Ten machine learning classifiers, such as the gaussian process classifier, random forest, and support vector machine (SVM), were evaluated. Three genomic biomarkers, namely tumor mutation burden, intratumoral heterogeneity, and loss of heterozygosity in human leukocyte antigen were screened out, and the SVM_poly method was adopted to construct a durable clinical benefit (DCB) prediction model. Compared with a single biomarker, the DCB multi-feature model exhibits better predictive value with the area under the curve values equal to 0.77 and 0.78 for test cohort1 and cohort2, respectively. The patients predicted to have DCB showed improved median progression-free survival (mPFS) and median overall survival (mOS) than those predicted to have non-durable clinical benefit.
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Affiliation(s)
- Lei Wang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongbing Zhang
- Department of Lung Cancer Surgery, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Chaohu Pan
- Department of Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
- The First Affiliated Hospital, Jinan University, Guangzhou, China
- Zhuhai Institute of Translational Medicine, Zhuhai People’s Hospital (Zhuhai Hospital Affiliated with Jinan University), Jinan University, Zhuhai, China
- The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, China
| | - Jian Yi
- Department of Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
| | - Xiaoli Cui
- Department of Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
| | - Na Li
- Department of Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
| | - Jiaqian Wang
- Department of Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
| | - Zhibo Gao
- Department of Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
| | - Dongfang Wu
- Department of Medicine, YuceBio Technology Co., Ltd, Shenzhen, China
- *Correspondence: Dongfang Wu, ; Jun Chen, ; Jizong Jiang,
| | - Jun Chen
- Department of Lung Cancer Surgery, Tianjin Lung Cancer Institute, Tianjin Medical University General Hospital, Tianjin, China
- *Correspondence: Dongfang Wu, ; Jun Chen, ; Jizong Jiang,
| | - Jizong Jiang
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Dongfang Wu, ; Jun Chen, ; Jizong Jiang,
| | - Qian Chu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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92
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Pyke RM, Mellacheruvu D, Dea S, Abbott CW, McDaniel L, Bhave DP, Zhang SV, Levy E, Bartha G, West J, Snyder MP, Chen RO, Boyle SM. A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity. Nat Commun 2022; 13:1925. [PMID: 35414054 PMCID: PMC9005524 DOI: 10.1038/s41467-022-29203-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 02/18/2022] [Indexed: 11/09/2022] Open
Abstract
Human leukocyte antigen loss of heterozygosity (HLA LOH) allows cancer cells to escape immune recognition by deleting HLA alleles, causing the suppressed presentation of tumor neoantigens. Despite its importance in immunotherapy response, few methods exist to detect HLA LOH, and their accuracy is not well understood. Here, we develop DASH (Deletion of Allele-Specific HLAs), a machine learning-based algorithm to detect HLA LOH from paired tumor-normal sequencing data. With cell line mixtures, we demonstrate increased sensitivity compared to previously published tools. Moreover, our patient-specific digital PCR validation approach provides a sensitive, robust orthogonal approach that could be used for clinical validation. Using DASH on 610 patients across 15 tumor types, we find that 18% of patients have HLA LOH. Moreover, we show inflated HLA LOH rates compared to genome-wide LOH and correlations between CD274 (encodes PD-L1) expression and microsatellite instability status, suggesting the HLA LOH is a key immune resistance strategy. Human leukocyte antigen loss of heterozygosity (HLA LOH) is an important mechanism of immune escape in patients with cancer. Here the authors design and validate a machine learning algorithm with subclonal sensitivity for the identification of HLA LOH from paired tumor-normal sequencing data.
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Affiliation(s)
| | | | | | | | | | | | | | - Eric Levy
- Personalis, Inc, Menlo Park, CA, USA
| | | | - John West
- Personalis, Inc, Menlo Park, CA, USA
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93
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Paschen A, Melero I, Ribas A. Central Role of the Antigen-Presentation and Interferon-γ Pathways in Resistance to Immune Checkpoint Blockade. ANNUAL REVIEW OF CANCER BIOLOGY 2022. [DOI: 10.1146/annurev-cancerbio-070220-111016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Resistance to immunotherapy is due in some instances to the acquired stealth mechanisms of tumor cells that lose expression of MHC class I antigen–presenting molecules or downregulate their class I antigen–presentation pathways. Most dramatically, biallelic β2-microglobulin (B2M) loss leads to complete loss of MHC class I expression and to invisibility to CD8+ T cells. MHC class I expression and antigen presentation are potently upregulated by interferon-γ (IFNγ) in a manner that depends on IFNγ receptor (IFNGR) signaling via JAK1 and JAK2. Mutations in these molecules lead to IFNγ unresponsiveness and mediate loss of recognition and killing by cytotoxic T lymphocytes. Loss of MHC class I augments sensitivity of tumor cells to be killed by natural killer (NK) lymphocytes, and this mechanism could be exploited to revert resistance, for instance, with interleukin-2 (IL-2)-based agents. Moreover, in some experimental models,potent local type I interferon responses, such as those following intratumoral injection of Toll-like receptor 9 (TLR9) or TLR3 agonists, revert resistance due to mutations of JAKs.
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Affiliation(s)
- Annette Paschen
- Department of Dermatology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- German Cancer Consortium (DKTK) Partner Site Essen/Düsseldorf, Essen, Germany
| | - Ignacio Melero
- University Clinic of Navarre (CUN) and Centre of Applied Medical Research (CIMA), University of Navarre, Pamplona, Spain
- CIBERONC (Consorcio Centro de Investigación Biomédica en Red de Cáncer), Madrid, Spain
| | - Antoni Ribas
- Department of Medicine, Department of Surgery, and Jonsson Comprehensive Cancer Center, University of California, Los Angeles, California, USA
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94
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Yoo SK, Chowell D, Valero C, Morris LGT, Chan TA. Pre-treatment serum albumin and mutational burden as biomarkers of response to immune checkpoint blockade. NPJ Precis Oncol 2022; 6:23. [PMID: 35393553 PMCID: PMC8990074 DOI: 10.1038/s41698-022-00267-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 02/24/2022] [Indexed: 11/25/2022] Open
Abstract
The effects of cytokine and protein stabilizing carriers, such as serum albumin, on tumor response to immune checkpoint blockade (ICB) is not well understood. By examining 1714 patients across 16 cancer types, we found that high pretreatment serum albumin level predicts favorable tumor radiographic response following ICB treatment in a dose-dependent fashion. Serum albumin is a candidate biomarker that can be combined with tumor mutational burden (TMB) for additional predictive capacity, and the tumor response rate to ICB was ~49% in the albumin-high/TMB-high group.
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Affiliation(s)
- Seong-Keun Yoo
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, 44195, USA.,The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Diego Chowell
- The Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.,Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Cristina Valero
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Luc G T Morris
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Timothy A Chan
- Center for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, OH, 44195, USA. .,Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA.
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95
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Wang H, Rong X, Zhao G, Zhou Y, Xiao Y, Ma D, Jin X, Wu Y, Yan Y, Yang H, Zhou Y, Qian M, Niu C, Hu X, Li DQ, Liu Q, Wen Y, Jiang YZ, Zhao C, Shao ZM. The microbial metabolite trimethylamine N-oxide promotes antitumor immunity in triple-negative breast cancer. Cell Metab 2022; 34:581-594.e8. [PMID: 35278352 DOI: 10.1016/j.cmet.2022.02.010] [Citation(s) in RCA: 112] [Impact Index Per Article: 56.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 01/20/2022] [Accepted: 02/17/2022] [Indexed: 02/07/2023]
Abstract
Immunotherapy has achieved limited success in patients with triple-negative breast cancer (TNBC), an aggressive disease with a poor prognosis. Commensal microbiota have been proven to colonize the mammary gland, but whether and how they modulate the tumor microenvironment remains elusive. We performed a multiomics analysis of a cohort of patients with TNBC (n = 360) and found genera under Clostridiales, and the related metabolite trimethylamine N-oxide (TMAO) was more abundant in tumors with an activated immune microenvironment. Patients with higher plasma TMAO achieved better responses to immunotherapy. Mechanistically, TMAO induced pyroptosis in tumor cells by activating the endoplasmic reticulum stress kinase PERK and thus enhanced CD8+ T cell-mediated antitumor immunity in TNBC in vivo. Collectively, our findings offer new insights into microbiota-metabolite-immune crosstalk and indicate that microbial metabolites, such as TMAO or its precursor choline, may represent a novel therapeutic strategy to promote the efficacy of immunotherapy in TNBC.
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Affiliation(s)
- Hai Wang
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
| | - Xingyu Rong
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Gan Zhao
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Yifan Zhou
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, 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, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
| | - Ding Ma
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
| | - Xi Jin
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
| | - Yonglin Wu
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Yuchen Yan
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Hao Yang
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Yuan Zhou
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Manning Qian
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Chen Niu
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200032, P.R. China
| | - Xin Hu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
| | - Da-Qiang Li
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China
| | - Qingyun Liu
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Yumei Wen
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, 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, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China.
| | - Chao Zhao
- MOE/NHC/CAMS Key Laboratory of Medical Molecular Virology, School of Basic Medical Sciences & National Clinical Research Center for Aging and Medicine, Huashan Hospital, 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, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, P.R. China.
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96
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Improved prediction of immune checkpoint blockade efficacy across multiple cancer types. Nat Biotechnol 2022; 40:499-506. [PMID: 34725502 PMCID: PMC9363980 DOI: 10.1038/s41587-021-01070-8] [Citation(s) in RCA: 114] [Impact Index Per Article: 57.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 08/23/2021] [Indexed: 02/07/2023]
Abstract
Only a fraction of patients with cancer respond to immune checkpoint blockade (ICB) treatment, but current decision-making procedures have limited accuracy. In this study, we developed a machine learning model to predict ICB response by integrating genomic, molecular, demographic and clinical data from a comprehensively curated cohort (MSK-IMPACT) with 1,479 patients treated with ICB across 16 different cancer types. In a retrospective analysis, the model achieved high sensitivity and specificity in predicting clinical response to immunotherapy and predicted both overall survival and progression-free survival in the test data across different cancer types. Our model significantly outperformed predictions based on tumor mutational burden, which was recently approved by the U.S. Food and Drug Administration for this purpose1. Additionally, the model provides quantitative assessments of the model features that are most salient for the predictions. We anticipate that this approach will substantially improve clinical decision-making in immunotherapy and inform future interventions.
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97
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Saylor K, Donnan B, Zhang C. Computational mining of MHC class II epitopes for the development of universal immunogenic proteins. PLoS One 2022; 17:e0265644. [PMID: 35349604 PMCID: PMC8963548 DOI: 10.1371/journal.pone.0265644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 03/04/2022] [Indexed: 11/21/2022] Open
Abstract
The human leukocyte antigen (HLA) gene complex, one of the most diverse gene complexes found in the human genome, largely dictates how our immune systems recognize pathogens. Specifically, HLA genetic variability has been linked to vaccine effectiveness in humans and it has likely played some role in the shortcomings of the numerous human vaccines that have failed clinical trials. This variability is largely impossible to evaluate in animal models, however, as their immune systems generally 1) lack the diversity of the HLA complex and/or 2) express major histocompatibility complex (MHC) receptors that differ in specificity when compared to human MHC. In order to effectively engage the majority of human MHC receptors during vaccine design, here, we describe the use of HLA population frequency data from the USA and MHC epitope prediction software to facilitate the in silico mining of universal helper T cell epitopes and the subsequent design of a universal human immunogen using these predictions. This research highlights a novel approach to using in silico prediction software and data processing to direct vaccine development efforts.
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Affiliation(s)
- Kyle Saylor
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Ben Donnan
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Chenming Zhang
- Department of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia, United States of America
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98
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Daull AM, Dubois V, Labussière-Wallet H, Venet F, Barraco F, Ducastelle-Lepretre S, Larcher MV, Balsat M, Gilis L, Fossard G, Ghesquières H, Heiblig M, Ader F, Alcazer V. Class I/Class II HLA Evolutionary Divergence Ratio Is an Independent Marker Associated With Disease-Free and Overall Survival After Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia. Front Immunol 2022; 13:841470. [PMID: 35309346 PMCID: PMC8931406 DOI: 10.3389/fimmu.2022.841470] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/15/2022] [Indexed: 12/04/2022] Open
Abstract
Class I Human Leukocyte Antigen (HLA) evolutionary divergence (HED) is a metric which reflects immunopeptidome diversity and has been associated with immune checkpoint inhibitor responses in solid tumors. Its impact and interest in allogeneic hematopoietic stem cell transplantation (HCT) have not yet been thoroughly studied. This study analyzed the clinical and immune impact of class I and II HED in 492 acute myeloid leukemia (AML) recipients undergoing HCT. The overall cohort was divided into a training (n=338) and a testing (n=132) set. Univariate cox screening found a positive impact of a high class I HED and a negative impact of a high class II HED on both disease-free (DFS) and overall survival (OS). These results were combined in a unique marker, class I/class II HED ratio, and assessed in the testing cohort. The final multivariate cox model confirmed the positive impact of a high versus low class I/class II HED ratio on both DFS (Hazard Ratio (HR) 0.41 [95% CI 0.2-0.83]; p=0.01) and OS (HR 0.34 [0.19-0.59]; p<0.001), independently of HLA matching and other HCT parameters. No significant association was found between the ratio and graft-versus-host disease (GvHD) nor with neutrophil and platelet recovery. A high class I HED was associated with a tendency for an increase in NK, CD8 T-cell, and B cell recovery at 12 months. These results introduce HED as an original and independent prognosis marker reflecting immunopeptidome diversity and alloreactivity after HCT.
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Affiliation(s)
- Anne-Marie Daull
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | - Valérie Dubois
- Laboratory of histocompatibility, Etablissement Français du Sang, Lyon, France
| | - Hélène Labussière-Wallet
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | - Fabienne Venet
- Hospices Civils de Lyon, Immunology laboratory, Edouard Herriot Hospital, Lyon, France
- Centre International de Recherche en Infectiologie (CIRI), Inserm U1111, CNRS, UMR5308, Ecole Normale Supérieure de Lyon, Université Claude Bernard-Lyon 1, Lyon, France
| | - Fiorenza Barraco
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | | | - Marie-Virginie Larcher
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | - Marie Balsat
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | - Lila Gilis
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | - Gaëlle Fossard
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | - Hervé Ghesquières
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
| | - Maël Heiblig
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
- UR LIB “Lymphoma Immuno-Biology”, Université Claude Bernard Lyon I, Lyon, France
| | - Florence Ader
- Hospices Civils de Lyon, Immunology laboratory, Edouard Herriot Hospital, Lyon, France
- Hospices Civils de Lyon, Department of infectious diseases, Croix-Rousse hospital, Lyon, France
- LegioPath team, CIRI INSERM U1111 CNRS UMR 5308, Lyon, France
| | - Vincent Alcazer
- Hospices Civils de Lyon, Department of clinical Hematology, Lyon Sud hospital, Pierre-Bénite, France
- UR LIB “Lymphoma Immuno-Biology”, Université Claude Bernard Lyon I, Lyon, France
- *Correspondence: Vincent Alcazer,
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99
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von Itzstein MS, Gonugunta AS, Sheffield T, Homsi J, Dowell JE, Koh AY, Raj P, Fattah F, Wang Y, Basava VS, Khan S, Park JY, Popat V, Saltarski JM, Gloria-McCutchen Y, Hsiehchen D, Ostmeyer J, Xie Y, Li QZ, Wakeland EK, Gerber DE. Association between Antibiotic Exposure and Systemic Immune Parameters in Cancer Patients Receiving Checkpoint Inhibitor Therapy. Cancers (Basel) 2022; 14:1327. [PMID: 35267634 PMCID: PMC8909108 DOI: 10.3390/cancers14051327] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 02/28/2022] [Accepted: 03/02/2022] [Indexed: 01/19/2023] Open
Abstract
Antibiotic administration is associated with worse clinical outcomes and changes to the gut microbiome in cancer patients receiving immune checkpoint inhibitors (ICI). However, the effects of antibiotics on systemic immune function are unknown. We, therefore, evaluated antibiotic exposure, therapeutic responses, and multiplex panels of 40 serum cytokines and 124 antibodies at baseline and six weeks after ICI initiation, with p < 0.05 and false discovery rate (FDR) < 0.2 considered significant. A total of 251 patients were included, of whom the 135 (54%) who received antibiotics had lower response rates and shorter survival. Patients who received antibiotics prior to ICI initiation had modestly but significantly lower baseline levels of nucleolin, MDA5, c-reactive protein, and liver cytosol antigen type 1 (LC1) antibodies, as well as higher levels of heparin sulfate and Matrigel antibodies. After ICI initiation, antibiotic-treated patients had significantly lower levels of MDA5, CENP.B, and nucleolin antibodies. Although there were no clear differences in cytokines in the overall cohort, in the lung cancer subset (53% of the study population), we observed differences in IFN-γ, IL-8, and macrophage inflammatory proteins. In ICI-treated patients, antibiotic exposure is associated with changes in certain antibodies and cytokines. Understanding the relationship between these factors may improve the clinical management of patients receiving ICI.
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Affiliation(s)
- Mitchell S. von Itzstein
- Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (M.S.v.I.); (J.H.); (J.E.D.); (D.H.)
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - Amrit S. Gonugunta
- School of Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (A.S.G.); (V.P.)
| | - Thomas Sheffield
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (T.S.); (Y.W.); (J.O.)
| | - Jade Homsi
- Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (M.S.v.I.); (J.H.); (J.E.D.); (D.H.)
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - Jonathan E. Dowell
- Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (M.S.v.I.); (J.H.); (J.E.D.); (D.H.)
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - Andrew Y. Koh
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;
| | - Prithvi Raj
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (P.R.); (S.K.); (Q.-Z.L.); (E.K.W.)
| | - Farjana Fattah
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - Yiqing Wang
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (T.S.); (Y.W.); (J.O.)
| | - Vijay S. Basava
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - Shaheen Khan
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (P.R.); (S.K.); (Q.-Z.L.); (E.K.W.)
| | - Jason Y. Park
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA;
| | - Vinita Popat
- School of Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (A.S.G.); (V.P.)
| | - Jessica M. Saltarski
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - Yvonne Gloria-McCutchen
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - David Hsiehchen
- Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (M.S.v.I.); (J.H.); (J.E.D.); (D.H.)
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
| | - Jared Ostmeyer
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (T.S.); (Y.W.); (J.O.)
| | - Yang Xie
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (T.S.); (Y.W.); (J.O.)
| | - Quan-Zhen Li
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (P.R.); (S.K.); (Q.-Z.L.); (E.K.W.)
| | - Edward K. Wakeland
- Department of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (P.R.); (S.K.); (Q.-Z.L.); (E.K.W.)
| | - David E. Gerber
- Department of Internal Medicine, Division of Hematology-Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (M.S.v.I.); (J.H.); (J.E.D.); (D.H.)
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (F.F.); (V.S.B.); (J.M.S.); (Y.G.-M.); (Y.X.)
- Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA; (T.S.); (Y.W.); (J.O.)
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100
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PD-1 blockade with pembrolizumab in classic or endemic Kaposi's sarcoma: a multicentre, single-arm, phase 2 study. Lancet Oncol 2022; 23:491-500. [DOI: 10.1016/s1470-2045(22)00097-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/11/2022] [Accepted: 02/11/2022] [Indexed: 12/26/2022]
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