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Trimaglio G, Sneperger T, Raymond BBA, Gilles N, Näser E, Locard-Paulet M, Ijsselsteijn ME, Brouwer TP, Ecalard R, Roelands J, Matsumoto N, Colom A, Habch M, de Miranda NFCC, Vergnolle N, Devaud C, Neyrolles O, Rombouts Y. The C-type lectin DCIR contributes to the immune response and pathogenesis of colorectal cancer. Sci Rep 2024; 14:7199. [PMID: 38532110 DOI: 10.1038/s41598-024-57941-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 03/22/2024] [Indexed: 03/28/2024] Open
Abstract
Development and progression of malignancies are accompanied and influenced by alterations in the surrounding immune microenvironment. Understanding the cellular and molecular interactions between immune cells and cancer cells has not only provided important fundamental insights into the disease, but has also led to the development of new immunotherapies. The C-type lectin Dendritic Cell ImmunoReceptor (DCIR) is primarily expressed by myeloid cells and is an important regulator of immune homeostasis, as demonstrated in various autoimmune, infectious and inflammatory contexts. Yet, the impact of DCIR on cancer development remains largely unknown. Analysis of available transcriptomic data of colorectal cancer (CRC) patients revealed that high DCIR gene expression is associated with improved patients' survival, immunologically "hot" tumors and high immunologic constant of rejection, thus arguing for a protective and immunoregulatory role of DCIR in CRC. In line with these correlative data, we found that deficiency of DCIR1, the murine homologue of human DCIR, leads to the development of significantly larger tumors in an orthotopic murine model of CRC. This phenotype is accompanied by an altered phenotype of tumor-associated macrophages (TAMs) and a reduction in the percentage of activated effector CD4+ and CD8+ T cells in CRC tumors of DCIR1-deficient mice. Overall, our results show that DCIR promotes antitumor immunity in CRC, making it an attractive target for the future development of immunotherapies to fight the second deadliest cancer in the world.
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Affiliation(s)
- Giulia Trimaglio
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Tamara Sneperger
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Benjamin B A Raymond
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Nelly Gilles
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Emmanuelle Näser
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Marie Locard-Paulet
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | | | - Thomas P Brouwer
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Romain Ecalard
- INSERM US006 ANEXPLO/CREFRE, Purpan Hospital, Toulouse, France
| | - Jessica Roelands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Naoki Matsumoto
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
| | - André Colom
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Myriam Habch
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | | | - Nathalie Vergnolle
- Institut de Recherche en Santé Digestive, IRSD, Université de Toulouse, INSERM, INRAe, ENVT, UPS, Toulouse, France
| | - Christel Devaud
- Institut de Recherche en Santé Digestive, IRSD, Université de Toulouse, INSERM, INRAe, ENVT, UPS, Toulouse, France
| | - Olivier Neyrolles
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Yoann Rombouts
- Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, Toulouse, France.
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2
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Zhu H, Roelands J, Ahmed EI, Stouten I, Hoorntje R, van Vlierberghe RLP, Ijsselsteijn ME, Lei X, de Miranda NFCC, Tollenaar RAEM, Vahrmeijer AL, Bedognetti D, Hendrickx WRL, Kuppen PJK. Location matters: spatial dynamics of tumor-infiltrating T cell subsets is prognostic in colon cancer. Front Immunol 2024; 15:1293618. [PMID: 38375478 PMCID: PMC10875018 DOI: 10.3389/fimmu.2024.1293618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/16/2024] [Indexed: 02/21/2024] Open
Abstract
Background Colon cancer is a heterogeneous disease and consists of various molecular subtypes. Despite advances in high-throughput expression profiling, limitations remain in predicting clinical outcome and assigning specific treatment to individual cases. Tumor-immune interactions play a critical role, with tumors that activate the immune system having better outcome for the patient. The localization of T cells within tumor epithelium, to enable direct contact, is essential for antitumor function, but bulk DNA/RNA sequencing data lacks spatial distribution information. In this study, we provide spatial T cell tumor distribution and connect these data with previously determined genomic data in the AC-ICAM colon cancer patient cohort. Methods Colon cancer patients (n=90) with transcriptome data available were selected. We used a custom multiplex immunofluorescence assay on colon tumor tissue sections for quantifying T cell subsets spatial distribution in the tumor microenvironment, in terms of cell number, location, mutual distance, and distance to tumor cells. Statistical analyses included the previously determined Immunologic Constant of Rejection (ICR) transcriptome correlation and patient survival, revealing potential prognostic value in T cell spatial distribution. Results T cell phenotypes were characterized and CD3+CD8-FoxP3- T cells were found to be the predominant tumor-infiltrating subtype while CD3+FoxP3+ T cells and CD3+CD8+ T cells showed similar densities. Spatial distribution analysis elucidated that proliferative T cells, characterized by Ki67 expression, and Granzyme B-expressing T cells were predominantly located within the tumor epithelium. We demonstrated an increase in immune cell density and a decrease in the distance of CD3+CD8+ T cells to the nearest tumor cell, in the immune active, ICR High, immune subtypes. Higher densities of stromal CD3+FoxP3+ T cells showed enhanced survival outcomes, and patients exhibited superior clinical benefits when greater spatial distances were observed between CD3+CD8-FoxP3- or CD3+CD8+ T cells and CD3+FoxP3+ T cells. Conclusion Our study's in-depth analysis of the spatial distribution and densities of major T cell subtypes within the tumor microenvironment has provided valuable information that paves the way for further research into the intricate relationships between immune cells and colon cancer development.
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Affiliation(s)
- Hehuan Zhu
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Jessica Roelands
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Eiman I. Ahmed
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Department of Biomedical Science, College of Health Sciences, Qatar University, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Imke Stouten
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Rachel Hoorntje
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | | | | | - Xin Lei
- Department of Immunology and Oncode Institute, Leiden University Medical Center, Leiden, Netherlands
| | | | | | | | - Davide Bedognetti
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Kite, A Gilead Company, Santa Monica, CA, United States
| | - Wouter R. L. Hendrickx
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Tumor Biology and Immunology Lab, Research Branch, Sidra Medicine, Doha, Qatar
| | - Peter J. K. Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
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3
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Al Ali F, Marr AK, Tatari-Calderone Z, Alfaki M, Toufiq M, Roelands J, Syed Ahamed Kabeer B, Bedognetti D, Marr N, Garand M, Rinchai D, Chaussabel D. Organizing training workshops on gene literature retrieval, profiling, and visualization for early career researchers. F1000Res 2023; 10:275. [PMID: 37448622 PMCID: PMC10336363 DOI: 10.12688/f1000research.36395.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/20/2023] [Indexed: 07/15/2023] Open
Abstract
Early-career researchers must acquire the skills necessary to effectively search and extract information from biomedical literature. This ability is for instance crucial for evaluating the novelty of experimental results, and assessing potential publishing opportunities. Given the rapidly growing volume of publications in the field of biomedical research, new systematic approaches need to be devised and adopted for the retrieval and curation of literature relevant to a specific theme. In this context, we present a hands-on training curriculum aimed at retrieval, profiling, and visualization of literature associated with a given topic. The curriculum was implemented in a workshop in January 2021. Here we provide supporting material and step-by-step implementation guidelines with the ISG15 gene literature serving as an illustrative use case. Workshop participants can learn several skills, including: 1) building and troubleshoot PubMed queries in order to retrieve the literature associated with a gene of interest; 2) identifying key concepts relevant to given themes (such as cell types, diseases, and biological processes); 3) measuring the prevalence of these concepts in the gene literature; 4) extracting key information from relevant articles, and 5) developing a background section or summary on the basis of this information. Finally, trainees can learn to consolidate the structured information captured through this process for presentation via an interactive web application.
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Affiliation(s)
| | | | | | | | | | | | | | - Davide Bedognetti
- Research Branch, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
- Department of Internal Medicine and Medical Specialties, University of Genoa, Genoa, 16126, Italy
| | - Nico Marr
- Research Branch, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
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4
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Roelands J, Kuppen PJK, Ahmed EI, Mall R, Masoodi T, Singh P, Monaco G, Raynaud C, de Miranda NFCC, Ferraro L, Carneiro-Lobo TC, Syed N, Rawat A, Awad A, Decock J, Mifsud W, Miller LD, Sherif S, Mohamed MG, Rinchai D, Van den Eynde M, Sayaman RW, Ziv E, Bertucci F, Petkar MA, Lorenz S, Mathew LS, Wang K, Murugesan S, Chaussabel D, Vahrmeijer AL, Wang E, Ceccarelli A, Fakhro KA, Zoppoli G, Ballestrero A, Tollenaar RAEM, Marincola FM, Galon J, Khodor SA, Ceccarelli M, Hendrickx W, Bedognetti D. An integrated tumor, immune and microbiome atlas of colon cancer. Nat Med 2023; 29:1273-1286. [PMID: 37202560 PMCID: PMC10202816 DOI: 10.1038/s41591-023-02324-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 03/28/2023] [Indexed: 05/20/2023]
Abstract
The lack of multi-omics cancer datasets with extensive follow-up information hinders the identification of accurate biomarkers of clinical outcome. In this cohort study, we performed comprehensive genomic analyses on fresh-frozen samples from 348 patients affected by primary colon cancer, encompassing RNA, whole-exome, deep T cell receptor and 16S bacterial rRNA gene sequencing on tumor and matched healthy colon tissue, complemented with tumor whole-genome sequencing for further microbiome characterization. A type 1 helper T cell, cytotoxic, gene expression signature, called Immunologic Constant of Rejection, captured the presence of clonally expanded, tumor-enriched T cell clones and outperformed conventional prognostic molecular biomarkers, such as the consensus molecular subtype and the microsatellite instability classifications. Quantification of genetic immunoediting, defined as a lower number of neoantigens than expected, further refined its prognostic value. We identified a microbiome signature, driven by Ruminococcus bromii, associated with a favorable outcome. By combining microbiome signature and Immunologic Constant of Rejection, we developed and validated a composite score (mICRoScore), which identifies a group of patients with excellent survival probability. The publicly available multi-omics dataset provides a resource for better understanding colon cancer biology that could facilitate the discovery of personalized therapeutic approaches.
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Affiliation(s)
- Jessica Roelands
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Eiman I Ahmed
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Raghvendra Mall
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA
- Biotechnology Research Center, Technology Innovation Institute, Abu Dhabi, United Arab Emirates
| | - Tariq Masoodi
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Parul Singh
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Gianni Monaco
- Institute for Transfusion Medicine and Gene Therapy, Medical Center-University of Freiburg, Freiburg, Germany
- Neuropathology, Medical Center-University of Freiburg, Freiburg, Germany
- BIOGEM Institute of Molecular Biology and Genetics, Ariano Irpino, Italy
| | - Christophe Raynaud
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | | | - Luigi Ferraro
- BIOGEM Institute of Molecular Biology and Genetics, Ariano Irpino, Italy
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy
| | | | - Najeeb Syed
- Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar
| | - Arun Rawat
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Amany Awad
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Julie Decock
- Translational Cancer and Immunity Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - William Mifsud
- Department of Pathology, Sidra Medicine, Doha, Qatar
- Weill-Cornell Medicine Qatar, Doha, Qatar
| | - Lance D Miller
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Shimaa Sherif
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Mahmoud G Mohamed
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Women's Wellness and Research Center, Hamad Medical Corporation, Doha, Qatar
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
| | - Darawan Rinchai
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY, USA
| | - Marc Van den Eynde
- Institut Roi Albert II, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium
| | - Rosalyn W Sayaman
- Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Francois Bertucci
- Laboratory of Predictive Oncology, Centre de Recherche en Cancérologie de Marseille, Institut Paoli-Calmettes, Aix-Marseille Université, Inserm UMR1068, CNRS UMR725, Marseille, France
- Department of Medical Oncology, Institut Paoli-Calmettes, Marseille, France
| | - Mahir Abdulla Petkar
- Department of Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar
| | - Stephan Lorenz
- Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar
| | - Lisa Sara Mathew
- Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar
| | - Kun Wang
- Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar
| | | | - Damien Chaussabel
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Computational Sciences Department, The Jackson Laboratory, Farmington, CT, USA
| | | | - Ena Wang
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Nurix Therapeutics, San Francisco, CA, USA
| | - Anna Ceccarelli
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Khalid A Fakhro
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
- Weill-Cornell Medicine Qatar, Doha, Qatar
| | - Gabriele Zoppoli
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Alberto Ballestrero
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Francesco M Marincola
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
- Sonata Therapeutics, Watertown, MA, USA
| | - Jérôme Galon
- Inserm, Laboratory of Integrative Cancer Immunology, Equipe Labellisée Ligue Contre Le Cancer, Centre de Recherche de Cordeliers, Université de Paris, Sorbonne Université, Paris, France
| | - Souhaila Al Khodor
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar
| | - Michele Ceccarelli
- BIOGEM Institute of Molecular Biology and Genetics, Ariano Irpino, Italy
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples Federico II, Naples, Italy
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Wouter Hendrickx
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
| | - Davide Bedognetti
- Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy.
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5
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Sayaman RW, Saad M, Heimann C, Hu D, Kunji K, Roelands J, Wolf DM, Huntsman S, Ceccarelli M, Thorsson V, Ziv E, Bedognetti D. Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors. STAR Protoc 2022; 3:101809. [PMID: 36595917 PMCID: PMC9772839 DOI: 10.1016/j.xpro.2022.101809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 03/09/2022] [Accepted: 10/03/2022] [Indexed: 12/15/2022] Open
Abstract
Germline genetic variants modulate human immune response. We present analytical pipelines for assessing the contribution of hosts' genetic background to the immune landscape of solid tumors using harmonized data from more than 9,000 patients in The Cancer Genome Atlas (TCGA). These include protocols for heritability, genome-wide association studies (GWAS), colocalization, and rare variant analyses. These workflows are developed around the structure of TCGA but can be adapted to explore other repositories or in the context of cancer immunotherapy. For complete details on the use and execution of this protocol, please refer to Sayaman et al. (2021).
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Affiliation(s)
- Rosalyn W. Sayaman
- Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA,Department of Population Sciences, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA,Biological Sciences and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA,Corresponding author
| | - Mohamad Saad
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar,Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | | | - Donglei Hu
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Khalid Kunji
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Jessica Roelands
- Human Immunology Department, Cancer Program, Research Branch, Sidra Medicine, PO Box 26999, Doha, Qatar,Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands
| | - Denise M. Wolf
- Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Scott Huntsman
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology, University of Naples "Federico II", 80128 Naples, Italy,BIOGEM Institute of Molecular Biology and Genetics, 83031 Ariano Irpino, Italy
| | | | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA,Corresponding author
| | - Davide Bedognetti
- Human Immunology Department, Cancer Program, Research Branch, Sidra Medicine, PO Box 26999, Doha, Qatar,College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar,Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, 16132 Genoa, Italy,Corresponding author
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6
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Sherif S, Roelands J, Mifsud W, Ahmed EI, Raynaud CM, Rinchai D, Sathappan A, Maaz A, Saleh A, Ozer E, Fakhro KA, Mifsud B, Thorsson V, Bedognetti D, Hendrickx WRL. The immune landscape of solid pediatric tumors. J Exp Clin Cancer Res 2022; 41:199. [PMID: 35690832 PMCID: PMC9188257 DOI: 10.1186/s13046-022-02397-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Accepted: 05/18/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Large immunogenomic analyses have demonstrated the prognostic role of the functional orientation of the tumor microenvironment in adult solid tumors, this variable has been poorly explored in the pediatric counterpart.
Methods
We performed a systematic analysis of public RNAseq data (TARGET) for five pediatric tumor types (408 patients): Wilms tumor (WLM), neuroblastoma (NBL), osteosarcoma (OS), clear cell sarcoma of the kidney (CCSK) and rhabdoid tumor of the kidney (RT). We assessed the performance of the Immunologic Constant of Rejection (ICR), which captures an active Th1/cytotoxic response. We also performed gene set enrichment analysis (ssGSEA) and clustered more than 100 well characterized immune traits to define immune subtypes and compared their outcome.
Results
A higher ICR score was associated with better survival in OS and high risk NBL without MYCN amplification but with poorer survival in WLM. Clustering of immune traits revealed the same five principal modules previously described in adult tumors (TCGA). These modules divided pediatric patients into six immune subtypes (S1-S6) with distinct survival outcomes. The S2 cluster showed the best overall survival, characterized by low enrichment of the wound healing signature, high Th1, and low Th2 infiltration, while the reverse was observed in S4. Upregulation of the WNT/Beta-catenin pathway was associated with unfavorable outcomes and decreased T-cell infiltration in OS.
Conclusions
We demonstrated that extracranial pediatric tumors could be classified according to their immune disposition, unveiling similarities with adults’ tumors. Immunological parameters might be explored to refine diagnostic and prognostic biomarkers and to identify potential immune-responsive tumors.
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7
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Roelands J, van der Ploeg M, Ijsselsteijn ME, Dang H, Boonstra JJ, Hardwick JCH, Hawinkels LJAC, Morreau H, de Miranda NFCC. Transcriptomic and immunophenotypic profiling reveals molecular and immunological hallmarks of colorectal cancer tumourigenesis. Gut 2022:gutjnl-2022-327608. [PMID: 36442992 DOI: 10.1136/gutjnl-2022-327608] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 11/12/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Biological insights into the stepwise development and progression of colorectal cancer (CRC) are imperative to develop tailored approaches for early detection and optimal clinical management of this disease. Here, we aimed to dissect the transcriptional and immunologic alterations that accompany malignant transformation in CRC and to identify clinically relevant biomarkers through spatial profiling of pT1 CRC samples. DESIGN We employed digital spatial profiling (GeoMx) on eight pT1 CRCs to study gene expression in the epithelial and stromal segments across regions of distinct histology, including normal mucosa, low-grade and high-grade dysplasia and cancer. Consecutive histology sections were profiled by imaging mass cytometry to reveal immune contextures. Finally, publicly available single-cell RNA-sequencing data was analysed to determine the cellular origin of relevant transcripts. RESULTS Comparison of gene expression between regions within pT1 CRC samples identified differentially expressed genes in the epithelium (n=1394 genes) and the stromal segments (n=1145 genes) across distinct histologies. Pathway analysis identified an early onset of inflammatory responses during malignant transformation, typified by upregulation of gene signatures such as innate immune sensing. We detected increased infiltration of myeloid cells and a shift in macrophage populations from pro-inflammatory HLA-DR+CD204- macrophages to HLA-DR-CD204+ immune-suppressive subsets from normal tissue through dysplasia to cancer, accompanied by the upregulation of the CD47/SIRPα 'don't eat me signal'. CONCLUSION Spatial profiling revealed the molecular and immunological landscape of CRC tumourigenesis at early disease stage. We identified biomarkers with strong association with disease progression as well as targetable immune processes that are exploitable in a clinical setting.
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Affiliation(s)
- Jessica Roelands
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Manon van der Ploeg
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Hao Dang
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jurjen J Boonstra
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - James C H Hardwick
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Lukas J A C Hawinkels
- Department of Gastroenterology and Hepatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Hans Morreau
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
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van de Weerd S, Smit MA, Roelands J, Mesker WE, Bedognetti D, Kuppen PJK, Putter H, Tollenaar RAEM, Roodhart JML, Hendrickx W, Medema JP, van Krieken JHJM. Correlation of Immunological and Histopathological Features with Gene Expression-Based Classifiers in Colon Cancer Patients. Int J Mol Sci 2022; 23:ijms232012707. [PMID: 36293565 PMCID: PMC9604175 DOI: 10.3390/ijms232012707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/13/2022] [Accepted: 10/19/2022] [Indexed: 11/25/2022] Open
Abstract
The purpose of this study was to evaluate the association between four distinct histopathological features: (1) tumor infiltrating lymphocytes, (2) mucinous differentiation, (3) tumor-stroma ratio, plus (4) tumor budding and two gene expression-based classifiers—(1) consensus molecular subtypes (CMS) plus (2) colorectal cancer intrinsic subtypes (CRIS). All four histopathological features were retrospectively scored on hematoxylin and eosin sections of the most invasive part of the primary tumor in 218 stage II and III colon cancer patients from two independent cohorts (AMC-AJCC-90 and AC-ICAM). RNA-based CMS and CRIS assignments were independently obtained for all patients. Contingency tables were constructed and a χ2 test was used to test for statistical significance. Odds ratios with 95% confidence intervals were calculated. The presence of tumor infiltrating lymphocytes and a mucinous phenotype (>50% mucinous surface area) were strongly correlated with CMS1 (p < 0.001 and p = 0.008) and CRIS-A (p = 0.006 and p < 0.001). The presence of mucus (≥ 10%) was associated with CMS3: mucus was present in 64.1% of all CMS3 tumors (p < 0.001). Although a clear association between tumor-stroma ratio and CMS4 was established in this study (p = 0.006), still 32 out of 61 (52.5%) CMS4 tumors were scored as stroma-low, indicating that CMS4 tumors cannot be identified solely based on stromal content. Higher budding counts were seen in CMS4 and CRIS-B tumors (p = 0.045 and p = 0.046). No other associations of the measured parameters were seen for any of the other CRIS subtypes. Our analysis revealed clear associations between histopathologic features and CMS or CRIS subtypes. However, identification of distinct molecular subtypes solely based on histopathology proved to be infeasible. Combining both molecular and morphologic features could potentially improve patient stratification.
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Affiliation(s)
- Simone van de Weerd
- Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Department of Pathology, Radboud University Medical Centre, 6525 GA Nijmegen, The Netherlands
- Oncode Institute, Amsterdam UMC, University of Amsterdam, 3521 AL Amsterdam, The Netherlands
| | - Marloes A. Smit
- Department of Surgery, Leiden University Medical Center, 2333 ZD Leiden, The Netherlands
| | - Jessica Roelands
- Department of Surgery, Leiden University Medical Center, 2333 ZD Leiden, The Netherlands
- Translational Medicine Department, Research Branch, Sidra Medicine, Doha 26999, Qatar
| | - Wilma E. Mesker
- Department of Surgery, Leiden University Medical Center, 2333 ZD Leiden, The Netherlands
| | - Davide Bedognetti
- Translational Medicine Department, Research Branch, Sidra Medicine, Doha 26999, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha 34110, Qatar
| | - Peter J. K. Kuppen
- Department of Surgery, Leiden University Medical Center, 2333 ZD Leiden, The Netherlands
| | - Hein Putter
- Department of Medical Statistics, Leiden University Medical Center, 2333 ZD Leiden, The Netherlands
| | - Rob A. E. M. Tollenaar
- Department of Surgery, Leiden University Medical Center, 2333 ZD Leiden, The Netherlands
| | - Jeanine M. L. Roodhart
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands
| | - Wouter Hendrickx
- Translational Medicine Department, Research Branch, Sidra Medicine, Doha 26999, Qatar
- College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha 34110, Qatar
| | - Jan Paul Medema
- Center for Experimental and Molecular Medicine, Cancer Center Amsterdam, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Oncode Institute, Amsterdam UMC, University of Amsterdam, 3521 AL Amsterdam, The Netherlands
- Correspondence: ; Tel.: +31-20-566-2368
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van de Weerd S, Torang A, Smit M, van den Berg I, Roelands J, Mesker W, Bedognetti D, Kuppen P, Putter H, Tollenaar R, Hendrickx W, Jimenez C, Vink G, Koopman M, Roodhart J, Ijzermans J, van Krieken H, Medema JP. 339P Molecular subtyping for chemotherapy response prediction in early stage colon cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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10
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Huang SSY, Rinchai D, Toufiq M, Kabeer BSA, Roelands J, Hendrickx W, Boughorbel S, Bedognetti D, Van Panhuys N, Chaussabel D, Garand M. Transcriptomic profile investigations highlight a putative role for NUDT16 in sepsis. J Cell Mol Med 2022; 26:1714-1721. [PMID: 35174610 PMCID: PMC8899167 DOI: 10.1111/jcmm.17240] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 01/08/2022] [Accepted: 02/01/2022] [Indexed: 12/20/2022] Open
Abstract
Sepsis is an aberrant systemic inflammatory response mediated by the acute activation of the innate immune system. Neutrophils are important contributors to the innate immune response that controls the infection, but harbour the risk of collateral tissue damage such as thrombosis and organ dysfunction. A better understanding of the modulations of cellular processes in neutrophils and other blood cells during sepsis is needed and can be initiated via transcriptomic profile investigations. To that point, the growing repertoire of publicly accessible transcriptomic datasets serves as a valuable resource for discovering and/or assessing the robustness of biomarkers. We employed systematic literature mining, reductionist approach to gene expression profile and empirical in vitro work to highlight the role of a Nudix hydrolase family member, NUDT16, in sepsis. The relevance and implication of the expression of NUDT16 under septic conditions and the putative functional roles of this enzyme are discussed.
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Affiliation(s)
- Susie Shih Yin Huang
- Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Missouri, USA.,Sidra Medicine, Doha, Qatar
| | | | | | | | | | - Wouter Hendrickx
- Sidra Medicine, Doha, Qatar.,College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | | | | | | | | | - Mathieu Garand
- Division of Pediatric Cardiothoracic Surgery, Department of Surgery, Washington University School of Medicine, St Louis, Missouri, USA.,Sidra Medicine, Doha, Qatar
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Roelands J, Ploeg MVD, Dang H, Hawinkels L, Morreau H, Miranda ND. 673 (Re-) Solving the biology of colorectal cancer onset and progression to improve treatment and prevention. J Immunother Cancer 2021. [DOI: 10.1136/jitc-2021-sitc2021.673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BackgroundColorectal cancer (CRC) development is accompanied by the gradual accumulation of genetic alterations in epithelial cells of the colon and rectum.1 2 The paradigm of the adenoma-carcinoma sequence was originally centered around cancer cells; however, it is now clear that the tumor microenvironment plays a substantial role in cancer progression and patient outcome.3 In recent years, technologies have evolved rapidly, allowing the multiplexed quantification of gene expression while preserving spatial context.4 Furthermore, some spatial transcriptomic technologies also allow the parallel interrogation of different cell populations in the tumor microenvironment. Here, we performed digital spatial profiling on early-stage CRC samples to elucidate the biological processes that are at the basis of malignant transformation and to identify novel therapeutic targets and (immune) biomarkers.MethodsEndoscopically resected early-stage CRC samples were obtained at Leiden University Medical Center. In total, 144 areas of illumination were interrogated with GeoMx digital spatial profiling using the Cancer Transcriptome Atlas (>1,800 genes). In each of eight samples, nine regions of interest with different levels of cancer progression were selected, including normal epithelium, transition areas, low-, and high-grade dysplasia, and invasive carcinoma (figure 1A). We segmented each region based on cytokeratin and vimentin protein expression (figure 1B). Immunohistochemical detection was performed on these samples and 26 additional samples to validate targets associated with disease progression.ResultsDigital spatial profiling allowed us to dissect transcriptional alterations in epithelial and stromal fractions between different regions from healthy tissue, different degrees of dysplasia, and cancer. Gene expression data revealed a clear separation of profiled areas by histologic category. Interestingly, gene expression features in the stromal compartment provided a better data-driven separation of histologic categories than the epithelial fraction (figure 1C). Substantial changes in immune-related pathways were identified, including differential expression of specific immunomodulators. We validated the expression of several candidate biomarkers/targets that demonstrated consistent alterations from normal tissue to cancer by immunohistochemistry. Several proteins were identified that could clearly discriminate benign from malignant tissue.ConclusionsWe here demonstrated the unique biological insights that are provided by spatial examination of early-stage CRC by digital spatial profiling. We identified specific genes that were altered during CRC tumorigenesis, in epithelial and stromal/immune fractions. Furthermore, our results indicate an essential role for innate immunity in colorectal cancer onset and progression. The genes identified by this approach could potentially serve as novel biomarkers and targets for early interception or prevention of CRC development.AcknowledgementsThis work was supported by the European Research Council (ERC) Starting grant awarded to Dr. Noel F. de Miranda and the Stichting Management Apothekers en de Gezondheidszorg (STIMAG) Research grant awarded to Jessica Roelands.Trial RegistrationN/AReferencesFearon ER, Vogelstein B. A genetic model for colorectal tumorigenesis. Cell 1990;61(5):759–767. doi: 10.1016/0092-8674(90)90186-I.Nowell PC. The clonal evolution of tumor cell populations. Science 1976;194(4260):23–28. doi: 10.1126/science.959840.Hanahan D, Weinberg RA. Hallmarks of cancer: the next generation. Cell 2011;144(5):646–674. doi: 10.1016/j.cell.2011.02.013.Merritt CR, et al. Multiplex digital spatial profiling of proteins and RNA in fixed tissue. Nat Biotechnol 2020;38(5):586–599. doi: 10.1038/s41587-020-0472-9.Ethics ApprovalThis study was approved by the METC Leiden-Den Haag-Delft (protocol B20.039). Patient samples were anonymised and handled according to the medical ethical guidelines described in the Code of Conduct for Proper Secondary Use of Human Tissue of the Dutch Federation of Biomedical Scientific Societies.Abstract 673 Figure 1Transcriptional alterations in early-stage colorectal cancer. Digital spatial profiling defines transcriptional alterations in early-stage colorectal cancer. (A) Schematic representation of an early-stage CRC sample containing regions with different levels of cancer progression, including normal epithelium, transition areas, low-, and high-grade dysplasia, and invasive carcinoma. (B) Segmentation based immunofluorescent labelling with antibodies directed against PanCK and Vimentin in one of the early-stage CRC samples. Artificial overlay of implemented segmentation is indicated for each ROI, visualizing Vimentin+ (pink) and PanCK+ (orange) segments. Inset: higher magnification of an individual ROI. (C) Dimension reduction of expression of all quantified genes by t-Distributed Stochastic Neighbor Embedding (tSNE). tSNE plots are annotated by segment (left), and histological region (right).
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12
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Ravensbergen CJ, Polack M, Roelands J, Crobach S, Putter H, Gelderblom H, Tollenaar RAEM, Mesker WE. Combined Assessment of the Tumor-Stroma Ratio and Tumor Immune Cell Infiltrate for Immune Checkpoint Inhibitor Therapy Response Prediction in Colon Cancer. Cells 2021; 10:2935. [PMID: 34831157 PMCID: PMC8616493 DOI: 10.3390/cells10112935] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/20/2021] [Accepted: 10/25/2021] [Indexed: 12/15/2022] Open
Abstract
The best current biomarker strategies for predicting response to immune checkpoint inhibitor (ICI) therapy fail to account for interpatient variability in response rates. The histologic tumor-stroma ratio (TSR) quantifies intratumoral stromal content and was recently found to be predictive of response to neoadjuvant therapy in multiple cancer types. In the current work, we predicted the likelihood of ICI therapy responsivity of 335 therapy-naive colon adenocarcinoma tumors from The Cancer Genome Atlas, using bioinformatics approaches. The TSR was scored on diagnostic tissue slides, and tumor-infiltrating immune cells (TIICs) were inferred from transcriptomic data. Tumors with high stromal content demonstrated increased T regulatory cell infiltration (p = 0.014) but failed to predict ICI therapy response. Consequently, we devised a hybrid tumor microenvironment classification of four stromal categories, based on histological stromal content and transcriptomic-deconvoluted immune cell infiltration, which was associated with previously established transcriptomic and genomic biomarkers for ICI therapy response. By integrating these biomarkers, stroma-low/immune-high tumors were predicted to be most responsive to ICI therapy. The framework described here provides evidence for expansion of current histological TIIC quantification to include the TSR as a novel, easy-to-use biomarker for the prediction of ICI therapy response.
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Affiliation(s)
- Cor J. Ravensbergen
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands; (C.J.R.); (M.P.); (R.A.E.M.T.)
| | - Meaghan Polack
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands; (C.J.R.); (M.P.); (R.A.E.M.T.)
| | - Jessica Roelands
- Department of Pathology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands; (J.R.); (S.C.)
| | - Stijn Crobach
- Department of Pathology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands; (J.R.); (S.C.)
| | - Hein Putter
- Department of Medical Statistics, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands;
| | - Hans Gelderblom
- Department of Medical Oncology, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands;
| | - Rob A. E. M. Tollenaar
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands; (C.J.R.); (M.P.); (R.A.E.M.T.)
| | - Wilma E. Mesker
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2300RC Leiden, The Netherlands; (C.J.R.); (M.P.); (R.A.E.M.T.)
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13
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Mattox AK, Roelands J, Saal TM, Cheng Y, Rinchai D, Hendrickx W, Young GD, Diefenbach TJ, Berger AE, Westra WH, Bishop JA, Faquin WC, Marincola FM, Pittet MJ, Bedognetti D, Pai SI. Myeloid Cells Are Enriched in Tonsillar Crypts, Providing Insight into the Host Tropism of Human Papillomavirus. Am J Pathol 2021; 191:1774-1786. [PMID: 34303699 DOI: 10.1016/j.ajpath.2021.06.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 05/14/2021] [Accepted: 06/14/2021] [Indexed: 10/20/2022]
Abstract
Viruses are the second leading cause of cancer worldwide, and human papillomavirus (HPV)-associated head and neck cancers are increasing in incidence in the United States. HPV preferentially infects the crypts of the tonsils rather than the surface epithelium. The present study sought to characterize the unique microenvironment within the crypts to better understand the host tropism of HPV to a lymphoid-rich organ. Laser-capture microdissection of distinct anatomic areas (crypts, surface epithelium, and germinal centers) of the tonsil, coupled with transcriptional analysis and multiparameter immunofluorescence staining, was performed and demonstrated that the tonsillar crypts are enriched with myeloid populations that co-express multiple canonical and noncanonical immune checkpoints, including PD-L1, CTLA-4, HAVCR2 (TIM-3), ADORA2A, IDO1, BTLA, LGALS3, CDH1, CEACAM1, PVR, and C10orf54 (VISTA). The resident monocytes may foster a permissive microenvironment that facilitates HPV infection and persistence. Furthermore, the myeloid populations within HPV-associated tonsil cancers co-express the same immune checkpoints, providing insight into potential novel immunotherapeutic targets for HPV-associated head and neck cancers.
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Affiliation(s)
- Austin K Mattox
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jessica Roelands
- Cancer Program, Research Branch, Sidra Medicine, Doha, Qatar; Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | - Talia M Saal
- Division of Surgical Oncology, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Yang Cheng
- Division of Surgical Oncology, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts
| | - Darawan Rinchai
- Cancer Program, Research Branch, Sidra Medicine, Doha, Qatar
| | | | - Geoffrey D Young
- Miami Cancer Institute and Department of Surgery, Florida International University, Miami, Florida
| | | | - Alan E Berger
- Division of Allergy and Clinical Immunology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - William H Westra
- Department of Pathology, Icahn School of Medicine at the Mount Sinai Hospital, New York, New York
| | - Justin A Bishop
- Department of Pathology, UT Southwestern Medical Center, Dallas, Texas
| | - William C Faquin
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Mikael J Pittet
- Center for Systems Biology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Sara I Pai
- Division of Surgical Oncology, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts; Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
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14
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Rinchai D, Verzoni E, Huber V, Cova A, Squarcina P, De Cecco L, de Braud F, Ratta R, Dugo M, Lalli L, Vallacchi V, Rodolfo M, Roelands J, Castelli C, Chaussabel D, Procopio G, Bedognetti D, Rivoltini L. Integrated transcriptional-phenotypic analysis captures systemic immunomodulation following antiangiogenic therapy in renal cell carcinoma patients. Clin Transl Med 2021; 11:e434. [PMID: 34185403 PMCID: PMC8214860 DOI: 10.1002/ctm2.434] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 05/09/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND The combination of immune checkpoint blockade (ICB) with standard therapies is becoming a common approach for overcoming resistance to cancer immunotherapy in most human malignancies including metastatic renal cell carcinoma (mRCC). In this regard, insights into the immunomodulatory properties of antiangiogenic agents may help designing multidrug schedules based on specific immune synergisms. METHODS We used orthogonal transcriptomic and phenotyping platforms combined with functional analytic pipelines to elucidate the immunomodulatory effect of the antiangiogenic agent pazopanib in mRCC patients. Nine patients were studied longitudinally over a period of 6 months. We also analyzed transcriptional data from The Cancer Genome Atlas (TCGA) RCC cohort (N = 571) to assess the prognostic implications of our findings. The effect of pazopanib was assessed in vitro on NK cells and T cells. Additionally, myeloid-derived suppressor (MDSC)-like cells were generated from CD14+ monocytes transfected with mimics of miRNAs associated with MDSC function in the presence or absence of pazopanib. RESULTS Pazopanib administration caused a rapid and dramatic reshaping in terms of frequency and transcriptional activity of multiple blood immune cell subsets, with a downsizing of MDSC and regulatory T cells in favor of a strong enhancement in PD-1 expressing cytotoxic T and Natural Killer effectors. These changes were paired with an increase of the expression of transcripts reflecting activation of immune-effector functions. This immunomodulation was marked but transient, peaking at the third month of treatment. Moreover, the intratumoral expression level of a MDSC signature (MDSC INT) was strongly associated with poor prognosis in RCC patients. In vitro experiments indicate that the observed immunomodulation might be due to an inhibitory effect on MDSC-mediated suppression, rather than a direct effect on NK and T cells. CONCLUSIONS The marked but transient nature of this immunomodulation, peaking at the third month of treatment, provides the rationale for the use of antiangiogenics as a preconditioning strategy to improve the efficacy of ICB.
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Affiliation(s)
| | - Elena Verzoni
- Medical Oncology DepartmentFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Veronica Huber
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Agata Cova
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Paola Squarcina
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Loris De Cecco
- Platform of Integrated BiologyFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Filippo de Braud
- Medical Oncology DepartmentFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | | | - Matteo Dugo
- Platform of Integrated BiologyFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Luca Lalli
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Viviana Vallacchi
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Monica Rodolfo
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | | | - Chiara Castelli
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | | | - Giuseppe Procopio
- Medical Oncology DepartmentFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
| | - Davide Bedognetti
- Cancer Research DepartmentSidra MedicineDohaQatar
- Dipartimento di Medicina Interna e Specialità MedicheUniversità degli Studi di GenovaGenovaItaly
- College of Health and Life SciencesHamad Bin Khalifa UniversityDohaQatar
| | - Licia Rivoltini
- Unit of Immunotherapy of Human TumorsFondazione IRCCS Istituto Nazionale dei TumoriMilanItaly
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Mall R, Saad M, Roelands J, Rinchai D, Kunji K, Almeer H, Hendrickx W, M Marincola F, Ceccarelli M, Bedognetti D. Network-based identification of key master regulators associated with an immune-silent cancer phenotype. Brief Bioinform 2021; 22:6274817. [PMID: 33979427 PMCID: PMC8574720 DOI: 10.1093/bib/bbab168] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 03/24/2021] [Accepted: 04/09/2021] [Indexed: 12/15/2022] Open
Abstract
A cancer immune phenotype characterized by an active T-helper 1 (Th1)/cytotoxic response is associated with responsiveness to immunotherapy and favorable prognosis across different tumors. However, in some cancers, such an intratumoral immune activation does not confer protection from progression or relapse. Defining mechanisms associated with immune evasion is imperative to refine stratification algorithms, to guide treatment decisions and to identify candidates for immune-targeted therapy. Molecular alterations governing mechanisms for immune exclusion are still largely unknown. The availability of large genomic datasets offers an opportunity to ascertain key determinants of differential intratumoral immune response. We follow a network-based protocol to identify transcription regulators (TRs) associated with poor immunologic antitumor activity. We use a consensus of four different pipelines consisting of two state-of-the-art gene regulatory network inference techniques, regularized gradient boosting machines and ARACNE to determine TR regulons, and three separate enrichment techniques, including fast gene set enrichment analysis, gene set variation analysis and virtual inference of protein activity by enriched regulon analysis to identify the most important TRs affecting immunologic antitumor activity. These TRs, referred to as master regulators (MRs), are unique to immune-silent and immune-active tumors, respectively. We validated the MRs coherently associated with the immune-silent phenotype across cancers in The Cancer Genome Atlas and a series of additional datasets in the Prediction of Clinical Outcomes from Genomic Profiles repository. A downstream analysis of MRs specific to the immune-silent phenotype resulted in the identification of several enriched candidate pathways, including NOTCH1, TGF-$\beta $, Interleukin-1 and TNF-$\alpha $ signaling pathways. TGFB1I1 emerged as one of the main negative immune modulators preventing the favorable effects of a Th1/cytotoxic response.
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Affiliation(s)
- Raghvendra Mall
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Mohamad Saad
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Jessica Roelands
- Cancer Research Department, Research Branch, Sidra Medicince, Doha, Qatar
| | - Darawan Rinchai
- Cancer Research Department, Research Branch, Sidra Medicince, Doha, Qatar
| | - Khalid Kunji
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Hossam Almeer
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Wouter Hendrickx
- Cancer Research Department, Research Branch, Sidra Medicince, Doha, Qatar
| | | | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples "Federico II", Via Claudio 21, 80215 Naples, Italy.,Biogem, Istituto di Biologia e Genetica Molecolare, Via Camporeale, Ariano Irpino (AV)
| | - Davide Bedognetti
- Cancer Research Department, Research Branch, Sidra Medicince, Doha, Qatar.,Department of Internal Medicine and Medical Specialities, University of Genova, Genova, Italy.,College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
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Al Ali F, Marr AK, Tatari-Calderone Z, Alfaki M, Toufiq M, Roelands J, Syed Ahamed Kabeer B, Bedognetti D, Marr N, Garand M, Rinchai D, Chaussabel D. Organizing gene literature retrieval, profiling, and visualization training workshops for early career researchers. F1000Res 2021. [DOI: 10.12688/f1000research.36395.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Developing the skills needed to effectively search and extract information from biomedical literature is essential for early-career researchers. It is, for instance, on this basis that the novelty of experimental results, and therefore publishing opportunities, can be evaluated. Given the unprecedented volume of publications in the field of biomedical research, new systematic approaches need to be devised and adopted for the retrieval and curation of literature relevant to a specific theme. Here we describe a hands-on training curriculum aimed at retrieval, profiling, and visualization of literature associated with a given topic. This curriculum was implemented in a workshop in January 2021. We provide supporting material and step-by-step implementation guidelines with the ISG15 gene literature serving as an illustrative use case. Through participation in such a workshop, trainees can learn: 1) to build and troubleshoot PubMed queries in order to retrieve the literature associated with a gene of interest; 2) to identify key concepts relevant to given themes (such as cell types, diseases, and biological processes); 3) to measure the prevalence of these concepts in the gene literature; 4) to extract key information from relevant articles, and 5) to develop a background section or summary on the basis of this information. Finally, trainees can learn to consolidate the structured information captured through this process for presentation via an interactive web application.
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17
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Rinchai D, Roelands J, Toufiq M, Hendrickx W, Altman MC, Bedognetti D, Chaussabel D. BloodGen3Module: Blood transcriptional module repertoire analysis and visualization using R. Bioinformatics 2021; 37:2382-2389. [PMID: 33624743 PMCID: PMC8388021 DOI: 10.1093/bioinformatics/btab121] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 01/14/2021] [Accepted: 02/23/2021] [Indexed: 11/28/2022] Open
Abstract
Motivation We previously described the construction and characterization of fixed reusable blood transcriptional module repertoires. More recently we released a third iteration (‘BloodGen3’ module repertoire) that comprises 382 functionally annotated modules and encompasses 14 168 transcripts. Custom bioinformatic tools are needed to support downstream analysis, visualization and interpretation relying on such fixed module repertoires. Results We have developed and describe here an R package, BloodGen3Module. The functions of our package permit group comparison analyses to be performed at the module-level, and to display the results as annotated fingerprint grid plots. A parallel workflow for computing module repertoire changes for individual samples rather than groups of samples is also available; these results are displayed as fingerprint heatmaps. An illustrative case is used to demonstrate the steps involved in generating blood transcriptome repertoire fingerprints of septic patients. Taken together, this resource could facilitate the analysis and interpretation of changes in blood transcript abundance observed across a wide range of pathological and physiological states. Availability and implementation The BloodGen3Module package and documentation are freely available from Github: https://github.com/Drinchai/BloodGen3Module. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
| | | | | | | | - Matthew C Altman
- Division of Allergy and Infectious Diseases, University of Washington, Seattle, Washington, USA.,Systems Immunology, Benaroya Research Institute, Seattle, Washington, USA
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Roelands J, Mall R, Almeer H, Thomas R, Mohamed MG, Bedri S, Al-Bader SB, Junejo K, Ziv E, Sayaman RW, Kuppen PJK, Bedognetti D, Hendrickx W, Decock J. Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry. NPJ Breast Cancer 2021; 7:10. [PMID: 33558495 PMCID: PMC7870839 DOI: 10.1038/s41523-021-00215-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 12/23/2020] [Indexed: 02/06/2023] Open
Abstract
Breast cancer largely dominates the global cancer burden statistics; however, there are striking disparities in mortality rates across countries. While socioeconomic factors contribute to population-based differences in mortality, they do not fully explain disparity among women of African ancestry (AA) and Arab ancestry (ArA) compared to women of European ancestry (EA). In this study, we sought to identify molecular differences that could provide insight into the biology of ancestry-associated disparities in clinical outcomes. We applied a unique approach that combines the use of curated survival data from The Cancer Genome Atlas (TCGA) Pan-Cancer clinical data resource, improved single-nucleotide polymorphism-based inferred ancestry assignment, and a novel breast cancer subtype classification to interrogate the TCGA and a local Arab breast cancer dataset. We observed an enrichment of BasalMyo tumors in AA patients (38 vs 16.5% in EA, p = 1.30E - 10), associated with a significant worse overall (hazard ratio (HR) = 2.39, p = 0.02) and disease-specific survival (HR = 2.57, p = 0.03). Gene set enrichment analysis of BasalMyo AA and EA samples revealed differences in the abundance of T-regulatory and T-helper type 2 cells, and enrichment of cancer-related pathways with prognostic implications (AA: PI3K-Akt-mTOR and ErbB signaling; EA: EGF, estrogen-dependent and DNA repair signaling). Strikingly, AMPK signaling was associated with opposing prognostic connotation (AA: 10-year HR = 2.79, EA: 10-year HR = 0.34). Analysis of ArA patients suggests enrichment of BasalMyo tumors with a trend for differential enrichment of T-regulatory cells and AMPK signaling. Together, our findings suggest that the disparity in the clinical outcome of AA breast cancer patients is likely related to differences in cancer-related and microenvironmental features.
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Affiliation(s)
- Jessica Roelands
- Functional Cancer Omics Lab, Cancer Group, Research Branch, Sidra Medicine, Doha, Qatar
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Raghvendra Mall
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Hossam Almeer
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Remy Thomas
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar
| | - Mahmoud G Mohamed
- Women's Hospital, Hamad Medical Corporation, Doha, Qatar
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy
| | | | | | - Kulsoom Junejo
- General Surgery Department, Hamad General Hospital, Doha, Qatar
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Rosalyn W Sayaman
- Department of Population Sciences, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Davide Bedognetti
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy.
- Cancer Immunogenetics Lab, Cancer Group, Research Branch, Sidra Medicine, Doha, Qatar.
- College of Health and Life Sciences (CHLS), Hamad bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
| | - Wouter Hendrickx
- Functional Cancer Omics Lab, Cancer Group, Research Branch, Sidra Medicine, Doha, Qatar.
- College of Health and Life Sciences (CHLS), Hamad bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
| | - Julie Decock
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
- College of Health and Life Sciences (CHLS), Hamad bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
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Sayaman RW, Saad M, Thorsson V, Hu D, Hendrickx W, Roelands J, Porta-Pardo E, Mokrab Y, Farshidfar F, Kirchhoff T, Sweis RF, Bathe OF, Heimann C, Campbell MJ, Stretch C, Huntsman S, Graff RE, Syed N, Radvanyi L, Shelley S, Wolf D, Marincola FM, Ceccarelli M, Galon J, Ziv E, Bedognetti D. Germline genetic contribution to the immune landscape of cancer. Immunity 2021; 54:367-386.e8. [PMID: 33567262 DOI: 10.1016/j.immuni.2021.01.011] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 10/14/2020] [Accepted: 01/13/2021] [Indexed: 02/07/2023]
Abstract
Understanding the contribution of the host's genetic background to cancer immunity may lead to improved stratification for immunotherapy and to the identification of novel therapeutic targets. We investigated the effect of common and rare germline variants on 139 well-defined immune traits in ∼9000 cancer patients enrolled in TCGA. High heritability was observed for estimates of NK cell and T cell subset infiltration and for interferon signaling. Common variants of IFIH1, TMEM173 (STING1), and TMEM108 were associated with differential interferon signaling and variants mapping to RBL1 correlated with T cell subset abundance. Pathogenic or likely pathogenic variants in BRCA1 and in genes involved in telomere stabilization and Wnt-β-catenin also acted as immune modulators. Our findings provide evidence for the impact of germline genetics on the composition and functional orientation of the tumor immune microenvironment. The curated datasets, variants, and genes identified provide a resource toward further understanding of tumor-immune interactions.
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Affiliation(s)
- Rosalyn W Sayaman
- Department of Population Sciences, Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA; Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA; Biological Sciences and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
| | - Mohamad Saad
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar; Neuroscience Research Center, Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon
| | | | - Donglei Hu
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Wouter Hendrickx
- Research Branch, Sidra Medicine, PO Box 26999 Doha, Qatar; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Jessica Roelands
- Research Branch, Sidra Medicine, PO Box 26999 Doha, Qatar; Department of Surgery, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands
| | - Eduard Porta-Pardo
- Barcelona Supercomputing Center (BSC); Josep Carreras Leukaemia Research Institute (IJC), Badalona, 08034 Barcelona, Catalonia, Spain
| | - Younes Mokrab
- Research Branch, Sidra Medicine, PO Box 26999 Doha, Qatar; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar; Weill Cornell Medicine, Doha, Qatar
| | - Farshad Farshidfar
- Department of Oncology, University of Calgary, Alberta AB T2N 4N1, Canada; Arnie Charbonneau Cancer Institute, Calgary, Alberta AB T2N 4N1, Canada; Department of Biomedical Data Science and Institute for Stem Cell Biology and Regenerative Medicine, School of Medicine, Stanford University, Stanford, CA 94305, USA; Tenaya Therapeutics, South San Francisco, CA 94080, USA
| | - Tomas Kirchhoff
- Perlmutter Cancer Center, New York University School of Medicine, New York University Langone Health, New York, NY 10016, USA
| | - Randy F Sweis
- Department of Medicine, Section of Hematology/Oncology, Committee on Clinical Pharmacology and Pharmacogenomics, Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
| | - Oliver F Bathe
- Department of Oncology, University of Calgary, Alberta AB T2N 4N1, Canada; Arnie Charbonneau Cancer Institute, Calgary, Alberta AB T2N 4N1, Canada; Department of Surgery, University of Calgary, Calgary, Alberta AB T2N 4N1, Canada
| | | | - Michael J Campbell
- Department of Surgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Cynthia Stretch
- Department of Oncology, University of Calgary, Alberta AB T2N 4N1, Canada; Arnie Charbonneau Cancer Institute, Calgary, Alberta AB T2N 4N1, Canada
| | - Scott Huntsman
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Najeeb Syed
- Research Branch, Sidra Medicine, PO Box 26999 Doha, Qatar; Department of Science and Technology, University of Sannio, 82100 Benevento, Italy
| | - Laszlo Radvanyi
- Ontario Institute for Cancer Research, Toronto, Ontario M5G 0A3, Canada
| | - Simon Shelley
- Department of Research and Development, Leukemia Therapeutics, LLC, Hull, MA 02045, USA
| | - Denise Wolf
- Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA
| | | | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology, University of Naples "Federico II," 80128 Naples, Italy; Istituto di Ricerche Genetiche "G. Salvatore," Biogem s.c.ar.l., 83031 Ariano Irpino, Italy
| | - Jérôme Galon
- INSERM, Laboratory of Integrative Cancer Immunology, Equipe Labellisée Ligue Contre Le Cancer, Centre de Recherche de Cordeliers, Université de Paris, Sorbonne Université, Paris, France
| | - Elad Ziv
- Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.
| | - Davide Bedognetti
- Research Branch, Sidra Medicine, PO Box 26999 Doha, Qatar; College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar; Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genoa, 16132 Genoa, Italy.
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Turan T, Kongpachith S, Halliwill K, Roelands J, Hendrickx W, Marincola FM, Hudson TJ, Jacob HJ, Bedognetti D, Samayoa J, Ceccarelli M. A balance score between immune stimulatory and suppressive microenvironments identifies mediators of tumour immunity and predicts pan-cancer survival. Br J Cancer 2020; 124:760-769. [PMID: 33139798 PMCID: PMC7884411 DOI: 10.1038/s41416-020-01145-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 09/26/2020] [Accepted: 10/15/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The balance between immune-stimulatory and immune-suppressive mechanisms in the tumour microenvironment is associated with tumour rejection and can predict the efficacy of immune checkpoint-inhibition therapies. METHODS We consider the observed differences between the transcriptional programmes associated with cancer types where the levels of immune infiltration predict a favourable prognosis versus those in which the immune infiltration predicts an unfavourable prognosis and defined a score named Mediators of Immune Response Against Cancer in soLid microEnvironments (MIRACLE). MIRACLE deconvolves T cell infiltration, from inhibitory mechanisms, such as TGFβ, EMT and PI3Kγ signatures. RESULTS Our score outperforms current state-of-the-art immune signatures as a predictive marker of survival in TCGA (n = 9305, HR: 0.043, p value: 6.7 × 10-36). In a validation cohort (n = 7623), MIRACLE predicts better survival compared to other immune metrics (HR: 0.1985, p value: 2.73 × 10-38). MIRACLE also predicts response to checkpoint-inhibitor therapies (n = 333). The tumour-intrinsic factors inversely associated with the reported score such as EGFR, PRKAR1A and MAP3K1 are frequently associated with immune-suppressive phenotypes. CONCLUSIONS The association of cancer outcome with the level of infiltrating immune cells is mediated by the balance of activatory and suppressive factors. MIRACLE accounts for this balance and predicts favourable cancer outcomes.
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Affiliation(s)
- Tolga Turan
- Computational Immunology and Oncology (CIAO), AbbVie, Redwood City, CA, USA
| | - Sarah Kongpachith
- Computational Immunology and Oncology (CIAO), AbbVie, Redwood City, CA, USA
| | - Kyle Halliwill
- Computational Immunology and Oncology (CIAO), AbbVie, Redwood City, CA, USA
| | - Jessica Roelands
- Cancer Research Department, Sidra Medicine, Doha, Qatar.,Department of Surgery, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | | | | | - Thomas J Hudson
- Computational Immunology and Oncology (CIAO), AbbVie, Redwood City, CA, USA
| | - Howard J Jacob
- Genomics Research Center (GRC), AbbVie, Lake County, IL, USA
| | - Davide Bedognetti
- Cancer Research Department, Sidra Medicine, Doha, Qatar. .,Dipartimento di Medicina Interna e Specialità Mediche, Università degli Studi di Genova, Genova, Italy.
| | - Josue Samayoa
- Computational Immunology and Oncology (CIAO), AbbVie, Redwood City, CA, USA.
| | - Michele Ceccarelli
- Department of Electrical Engineering and Information Technology, University of Naples "Federico II", Naples, Italy. .,Istituto di Ricerche Genetiche "G. Salvatore", Biogem s.c.ar.l, 83031, Ariano Irpino, Italy.
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21
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Krijgsman D, Roelands J, Andersen MN, Wieringa CHLA, Tollenaar RAEM, Hendrickx W, Bedognetti D, Hokland M, Kuppen PJK. Expression of NK cell receptor ligands in primary colorectal cancer tissue in relation to the phenotype of circulating NK- and NKT cells, and clinical outcome. Mol Immunol 2020; 128:205-218. [PMID: 33142138 DOI: 10.1016/j.molimm.2020.10.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 10/01/2020] [Accepted: 10/14/2020] [Indexed: 12/27/2022]
Abstract
INTRODUCTION Natural killer (NK) cells and natural killer T (NKT) cells are implicated in the development and progression of colorectal cancer (CRC). Tumor cells express NK cell receptor ligands that modulate their function. This study aimed to investigate the expression of such ligands in CRC in relation to the phenotype of circulating NK- and NKT cells, and clinical outcome. METHODS Primary tumor tissues were analyzed for protein expression of NK cell ligands using immunohistochemistry with automated image analysis in a cohort of 78 CRC patients. For 24 of the 78 patients, RNA expression of NK cell ligands was analyzed in primary tumor tissue using RNA sequencing. Receptor expression on circulating NK- and NKT cells was previously measured by us in 71 of the 78 patients using flow cytometry. RESULTS High Proliferating Cell Nuclear Antigen (PCNA) protein expression in the primary tumor associated with shorter disease-free survival (DFS) of CRC patients (P = 0.026). A trend was observed towards shorter DFS in CRC patients with above-median galectin-3 protein expression in the primary tumor (P = 0.055). High protein expression of galectin-3, CD1d, and human leukocyte antigen (HLA) class I, and high RNA expression of UL16-binding protein (ULBP)-1, -2, and -5, and HLA-E in the tumor tissue correlated with low expression of the corresponding receptors on circulating NK- or NKT cells (P < 0.05). CONCLUSIONS Galectin-3 and PCNA expression in the primary tumor may be prognostic biomarkers in CRC patients. Furthermore, our results suggest that NK cell receptor ligands expressed by tumor cells may modulate the phenotype of circulating NK- and NKT cells, and facilitate immune escape of metastasizing cells.
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Affiliation(s)
- Daniëlle Krijgsman
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Jessica Roelands
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands; Cancer Research Department, Research Branch, Sidra Medicine, Doha, Qatar
| | - Morten N Andersen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark; Department of Hematology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Biochemistry, Aarhus University Hospital, Aarhus, Denmark
| | | | - Rob A E M Tollenaar
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands
| | - Wouter Hendrickx
- Cancer Research Department, Research Branch, Sidra Medicine, Doha, Qatar
| | - Davide Bedognetti
- Cancer Research Department, Research Branch, Sidra Medicine, Doha, Qatar
| | | | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.
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Toufiq M, Roelands J, Alfaki M, Syed Ahamed Kabeer B, Saadaoui M, Lakshmanan AP, Bangarusamy DK, Murugesan S, Bedognetti D, Hendrickx W, Al Khodor S, Terranegra A, Rinchai D, Chaussabel D, Garand M. Annexin A3 in sepsis: novel perspectives from an exploration of public transcriptome data. Immunology 2020; 161:291-302. [PMID: 32682335 PMCID: PMC7692248 DOI: 10.1111/imm.13239] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 07/07/2020] [Accepted: 07/08/2020] [Indexed: 12/16/2022] Open
Abstract
According to publicly available transcriptome datasets, the abundance of Annexin A3 (ANXA3) is robustly increased during the course of sepsis; however, no studies have examined the biological significance or clinical relevance of ANXA3 in this pathology. Here we explored this interpretation gap and identified possible directions for future research. Based on reference transcriptome datasets, we found that ANXA3 expression is restricted to neutrophils, is upregulated in vitro after exposure to plasma obtained from septic patients, and is associated with adverse clinical outcomes. Secondly, an increase in ANXA3 transcript abundance was also observed in vivo, in the blood of septic patients in multiple independent studies. ANXA3 is known to mediate calcium-dependent granules-phagosome fusion in support of microbicidal activity in neutrophils. More recent work has also shown that ANXA3 enhances proliferation and survival of tumour cells via a Caspase-3-dependent mechanism. And this same molecule is also known to play a critical role in regulation of apoptotic events in neutrophils. Thus, we posit that during sepsis ANXA3 might either play a beneficial role, by facilitating microbial clearance and resolution of the infection; or a detrimental role, by prolonging neutrophil survival, which is known to contribute to sepsis-mediated organ damage.
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Krijgsman D, Roelands J, Hendrickx W, Bedognetti D, Kuppen PJK. HLA-G: A New Immune Checkpoint in Cancer? Int J Mol Sci 2020; 21:ijms21124528. [PMID: 32630545 PMCID: PMC7350262 DOI: 10.3390/ijms21124528] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 06/22/2020] [Accepted: 06/24/2020] [Indexed: 12/15/2022] Open
Abstract
Human leukocyte antigen G (HLA-G), known as a central protein in providing immune tolerance to the fetus in pregnant women, is also studied for a possible role in tumor development. Many studies have claimed HLA-G as a new immune checkpoint in cancer. Therefore, HLA-G and its receptors might be targets for immune checkpoint blockade in cancer immunotherapy. In order to substantiate that HLA-G is indeed an immune checkpoint in cancer, two important questions need to be answered: (1) To what extent is HLA-G expressed in the tumor by cancer cells? and (2) What is the function of HLA-G in cancer immune evasion? In this review, we discuss these questions. We agree that HLA-G is a potentially new immune checkpoint in cancer, but additional evidence is required to show the extent of intra-tumor and inter-tumor expression. These studies should focus on tumor expression patterns of the seven different HLA-G isoforms and of the receptors for HLA-G. Furthermore, specific roles for the different HLA-G isoforms should be established.
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Affiliation(s)
- Daniëlle Krijgsman
- Department of Surgery, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands; (D.K.); (J.R.)
| | - Jessica Roelands
- Department of Surgery, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands; (D.K.); (J.R.)
- Cancer Research Department, Research Branch, Sidra Medicine, Doha P.O. Box 26999, Qatar; (W.H.); (D.B.)
| | - Wouter Hendrickx
- Cancer Research Department, Research Branch, Sidra Medicine, Doha P.O. Box 26999, Qatar; (W.H.); (D.B.)
| | - Davide Bedognetti
- Cancer Research Department, Research Branch, Sidra Medicine, Doha P.O. Box 26999, Qatar; (W.H.); (D.B.)
| | - Peter J. K. Kuppen
- Department of Surgery, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands; (D.K.); (J.R.)
- Correspondence: ; Tel.: +31-71-5264569
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Roelands J, Hendrickx W, Zoppoli G, Mall R, Saad M, Halliwill K, Curigliano G, Rinchai D, Decock J, Delogu LG, Turan T, Samayoa J, Chouchane L, Ballestrero A, Wang E, Finetti P, Bertucci F, Miller LD, Galon J, Marincola FM, Kuppen PJK, Ceccarelli M, Bedognetti D. Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response. J Immunother Cancer 2020; 8:e000617. [PMID: 32376723 PMCID: PMC7223637 DOI: 10.1136/jitc-2020-000617] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND An immune active cancer phenotype typified by a T helper 1 (Th-1) immune response has been associated with increased responsiveness to immunotherapy and favorable prognosis in some but not all cancer types. The reason of this differential prognostic connotation remains unknown. METHODS To explore the contextual prognostic value of cancer immune phenotypes, we applied a multimodal pan-cancer analysis among 31 different histologies (9282 patients), encompassing immune and oncogenic transcriptomic analysis, mutational and neoantigen load and copy number variations. RESULTS We demonstrated that the favorable prognostic connotation conferred by the presence of a Th-1 immune response was abolished in tumors displaying specific tumor-cell intrinsic attributes such as high transforming growth factor-beta (TGF-β) signaling and low proliferation capacity. This observation was independent of mutation rate. We validated this observation in the context of immune checkpoint inhibition. WNT-β catenin, barrier molecules, Notch, hedgehog, mismatch repair, telomerase activity and AMPK signaling were the pathways most coherently associated with an immune silent phenotype together with mutations of driver genes including IDH1/2, FOXA2, HDAC3, PSIP1, MAP3K1, KRAS, NRAS, EGFR, FGFR3, WNT5A and IRF7. CONCLUSIONS This is the first systematic study demonstrating that the prognostic and predictive role of a bona fide favorable intratumoral immune response is dependent on the disposition of specific oncogenic pathways. This information could be used to refine stratification algorithms and prioritize hierarchically relevant targets for combination therapies.
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Affiliation(s)
- Jessica Roelands
- Cancer Research Department, Research Branch, Sidra Medicine, Doha, Qatar
- Department of Surgery, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | - Wouter Hendrickx
- Cancer Research Department, Research Branch, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Gabriele Zoppoli
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine (DiMI), University of Genova, Genova, Italy
| | - Raghvendra Mall
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Mohamad Saad
- Qatar Computing Research Institute (QCRI), Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Kyle Halliwill
- Genomics Research Center (GRC), AbbVie Biotherapeutics, Redwood City, California, USA
| | - Giuseppe Curigliano
- Department of Oncology and Hemato-Oncology, University of Milano, Milano, Italy
| | - Darawan Rinchai
- Cancer Research Department, Research Branch, Sidra Medicine, Doha, Qatar
| | | | - Lucia G Delogu
- Istituto di Ricerca Pediatrica, Fondazione Città della Speranza, Padua, Italy
| | - Tolga Turan
- Genomics Research Center (GRC), AbbVie Biotherapeutics, Redwood City, California, USA
| | - Josue Samayoa
- Genomics Research Center (GRC), AbbVie Biotherapeutics, Redwood City, California, USA
| | | | - Alberto Ballestrero
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine (DiMI), University of Genova, Genova, Italy
| | | | | | | | | | | | | | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center (LUMC), Leiden, The Netherlands
| | - Michele Ceccarelli
- Genomics Research Center (GRC), AbbVie Biotherapeutics, Redwood City, California, USA
- Department of Electrical Engineering and Information Technology (DIETI), University of Naples "Federico II", Naples, Italy
- Istituto di Ricerche Genetiche "G. Salvatore", Biogem s.c.ar.l, 83031, Ariano Irpino, Italy
| | - Davide Bedognetti
- Cancer Research Department, Research Branch, Sidra Medicine, Doha, Qatar
- College of Health and Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, Qatar
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Shan J, Chouchane A, Mokrab Y, Saad M, Boujassoum S, Sayaman RW, Ziv E, Bouaouina N, Remadi Y, Gabbouj S, Roelands J, Ma X, Bedognetti D, Chouchane L. Genetic Variation in CCL5 Signaling Genes and Triple Negative Breast Cancer: Susceptibility and Prognosis Implications. Front Oncol 2019; 9:1328. [PMID: 31921621 PMCID: PMC6915105 DOI: 10.3389/fonc.2019.01328] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 11/13/2019] [Indexed: 12/17/2022] Open
Abstract
Triple-negative breast cancer (TNBC) accounts for ~15–20% of breast cancer (BC) and has a higher rate of early relapse and mortality compared to other subtypes. The Chemokine (C-C motif) ligand 5 (CCL5) and its signaling pathway have been linked to TNBC. We aimed to investigate the susceptibility and prognostic implications of genetic variation in CCL5 signaling genes in TNBC in the present study. We characterized variants in CCL5 and that of six other CCL5 signaling genes (CCND1, ZMIZ1, CASP8, NOTCH2, MAP3K21, and HS6ST3) among 1,082 unrelated Tunisian subjects (544 BC patients, including 196 TNBC, and 538 healthy controls), assessed the association of the variants with BC-specific overall survival (OVS) and progression-free survival (PFS), and correlated CCL5 mRNA and serum levels with CCL5 genotypes. We found a highly significant association between the CCND1 rs614367-TT genotype (OR = 5.14; P = 0.004) and TNBC risk, and identified a significant association between the rs614367-T allele and decreased PFS in TNBC. A decreased risk of lymph node metastasis was associated with the MAP3K21 rs1294255-C allele, particularly in rs1294255-GC (OR = 0.47; P = 0.001). CCL5 variants (rs2107538 and rs2280789) were linked to CCL5 serum and mRNA levels. In the TCGA TNBC/Basal-like cohort the MAP3K21 rs1294255-G allele was associated with a decreased OVS. High expression of CCL5 in breast tumors was significantly associated with an increased OVS in all BC patients, but particularly in TNBC/Basal-like patients. In conclusion, genetic variation in CCL5 signaling genes may predict not only TNBC risk but also disease aggressiveness.
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Affiliation(s)
- Jingxuan Shan
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, United States.,Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, United States.,Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Aziz Chouchane
- Faculta di Medicina e Chirurgia, Universita Cattolica del Sacro Cuero, Rome, Italy
| | - Younes Mokrab
- Translational Genetics and Bioinformatics Section, Research Division, Sidra Medicine, Doha, Qatar
| | - Mohamad Saad
- Qatar Computing Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Salha Boujassoum
- Department of Medical Oncology, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar
| | - Rosalyn W Sayaman
- Department of Population Sciences, City of Hope, Duarte, CA, United States.,Department of Laboratory Medicine at UCSF, San Francisco, CA, United States.,Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, CA, United States
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center at UCSF, San Francisco, CA, United States.,Division of General Internal Medicine, Department of Medicine, Institute for Human Genetics at UCSF, San Francisco, CA, United States
| | - Noureddine Bouaouina
- Service de Cancérologie Radiothérapie, CHU Farhat Hached, Sousse, Tunisia.,Laboratoire d'Immuno-Oncologie Moléculaire, Faculté de Médecine de Monastir, Université de Monastir, Monastir, Tunisia
| | - Yasmine Remadi
- Laboratoire d'Immuno-Oncologie Moléculaire, Faculté de Médecine de Monastir, Université de Monastir, Monastir, Tunisia
| | - Sallouha Gabbouj
- Laboratoire d'Immuno-Oncologie Moléculaire, Faculté de Médecine de Monastir, Université de Monastir, Monastir, Tunisia
| | - Jessica Roelands
- Tumor Biology Section, Research Division, Sidra Medicine, Doha, Qatar
| | - Xiaojing Ma
- Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, United States
| | - Davide Bedognetti
- Tumor Biology Section, Research Division, Sidra Medicine, Doha, Qatar
| | - Lotfi Chouchane
- Department of Genetic Medicine, Weill Cornell Medicine, New York, NY, United States.,Department of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, United States.,Laboratory of Genetic Medicine and Immunology, Weill Cornell Medicine-Qatar, Doha, Qatar
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Hendrickx W, Roelands J, Kuppen P, Marincola F, Bedognetti D. The Sidra LUMC advanced colon cancer NGS cohort. Ann Oncol 2019. [DOI: 10.1093/annonc/mdz421.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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27
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Roelands J, Garand M, Hinchcliff E, Ma Y, Shah P, Toufiq M, Alfaki M, Hendrickx W, Boughorbel S, Rinchai D, Jazaeri A, Bedognetti D, Chaussabel D. Long-Chain Acyl-CoA Synthetase 1 Role in Sepsis and Immunity: Perspectives From a Parallel Review of Public Transcriptome Datasets and of the Literature. Front Immunol 2019; 10:2410. [PMID: 31681299 PMCID: PMC6813721 DOI: 10.3389/fimmu.2019.02410] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 09/26/2019] [Indexed: 12/21/2022] Open
Abstract
A potential role for the long-chain acyl-CoA synthetase family member 1 (ACSL1) in the immunobiology of sepsis was explored during a hands-on training workshop. Participants first assessed the robustness of the potential gap in biomedical knowledge identified via an initial screen of public transcriptome data and of the literature associated with ACSL1. Increase in ACSL1 transcript abundance during sepsis was confirmed in several independent datasets. Querying the ACSL1 literature also confirmed the absence of reports associating ACSL1 with sepsis. Inferences drawn from both the literature (via indirect associations) and public transcriptome data (via correlation) point to the likely participation of ACSL1 and ACSL4, another family member, in inflammasome activation in neutrophils during sepsis. Furthermore, available clinical data indicate that levels of ACSL1 and ACSL4 induction was significantly higher in fatal cases of sepsis. This denotes potential translational relevance and is consistent with involvement in pathways driving potentially deleterious systemic inflammation. Finally, while ACSL1 expression was induced in blood in vitro by a wide range of pathogen-derived factors as well as TNF, induction of ACSL4 appeared restricted to flagellated bacteria and pathogen-derived TLR5 agonists and IFNG. Taken together, this joint review of public literature and omics data records points to two members of the acyl-CoA synthetase family potentially playing a role in inflammasome activation in neutrophils. Translational relevance of these observations in the context of sepsis and other inflammatory conditions remain to be investigated.
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Affiliation(s)
- Jessica Roelands
- Sidra Medicine, Doha, Qatar.,Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | | | - Emily Hinchcliff
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ying Ma
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Parin Shah
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | | | | | | | | | | | - Amir Jazaeri
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
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28
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Thomas R, Al-Khadairi G, Roelands J, Hendrickx W, Dermime S, Bedognetti D, Decock J. NY-ESO-1 Based Immunotherapy of Cancer: Current Perspectives. Front Immunol 2018; 9:947. [PMID: 29770138 PMCID: PMC5941317 DOI: 10.3389/fimmu.2018.00947] [Citation(s) in RCA: 229] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 04/16/2018] [Indexed: 12/12/2022] Open
Abstract
NY-ESO-1 or New York esophageal squamous cell carcinoma 1 is a well-known cancer-testis antigen (CTAs) with re-expression in numerous cancer types. Its ability to elicit spontaneous humoral and cellular immune responses, together with its restricted expression pattern, have rendered it a good candidate target for cancer immunotherapy. In this review, we provide background information on NY-ESO-1 expression and function in normal and cancerous tissues. Furthermore, NY-ESO-1-specific immune responses have been observed in various cancer types; however, their utility as biomarkers are not well determined. Finally, we describe the immune-based therapeutic options targeting NY-ESO-1 that are currently in clinical trial. We will highlight the recent advancements made in NY-ESO-1 cancer vaccines, adoptive T cell therapy, and combinatorial treatment with checkpoint inhibitors and will discuss the current trends for future NY-ESO-1 based immunotherapy. Cancer treatment has been revolutionized over the last few decades with immunotherapy emerging at the forefront. Immune-based interventions have shown promising results, providing a new treatment avenue for durable clinical responses in various cancer types. The majority of successful immunotherapy studies have been reported in liquid cancers, whereas these approaches have met many challenges in solid cancers. Effective immunotherapy in solid cancers is hampered by the complex, dynamic tumor microenvironment that modulates the extent and phenotype of the antitumor immune response. Furthermore, many solid tumor-associated antigens are not private but can be found in normal somatic tissues, resulting in minor to detrimental off-target toxicities. Therefore, there is an ongoing effort to identify tumor-specific antigens to target using various immune-based modalities. CTAs are considered good candidate targets for immunotherapy as they are characterized by a restricted expression in normal somatic tissues concomitant with a re-expression in solid epithelial cancers. Moreover, several CTAs have been found to induce a spontaneous immune response, NY-ESO-1 being the most immunogenic among the family members. Hence, this review will focus on NY-ESO-1 and discuss the past and current NY-ESO-1 targeted immunotherapeutic strategies.
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Affiliation(s)
- Remy Thomas
- Cancer Research Center, Qatar Biomedical Research Institute, Qatar Foundation, Hamad Bin Khalifa University, Doha, Qatar
| | - Ghaneya Al-Khadairi
- Cancer Research Center, Qatar Biomedical Research Institute, Qatar Foundation, Hamad Bin Khalifa University, Doha, Qatar
| | - Jessica Roelands
- Immunology, Inflammation, and Metabolism Department, Tumor Biology, Immunology, and Therapy Section, Division of Translational Medicine, Sidra Medicine, Doha, Qatar.,Department of Surgery, Leiden University Medical Center, Leiden, Netherlands
| | - Wouter Hendrickx
- Immunology, Inflammation, and Metabolism Department, Tumor Biology, Immunology, and Therapy Section, Division of Translational Medicine, Sidra Medicine, Doha, Qatar
| | - Said Dermime
- Translational Cancer Research Facility, National Center for Cancer Care and Research, Doha, Qatar
| | - Davide Bedognetti
- Immunology, Inflammation, and Metabolism Department, Tumor Biology, Immunology, and Therapy Section, Division of Translational Medicine, Sidra Medicine, Doha, Qatar
| | - Julie Decock
- Cancer Research Center, Qatar Biomedical Research Institute, Qatar Foundation, Hamad Bin Khalifa University, Doha, Qatar
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29
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Bedognetti D, Roelands J, Decock J, Wang E, Hendrickx W. The MAPK hypothesis: immune-regulatory effects of MAPK-pathway genetic dysregulations and implications for breast cancer immunotherapy. Emerg Top Life Sci 2017; 1:429-445. [PMID: 33525803 PMCID: PMC7289005 DOI: 10.1042/etls20170142] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 11/08/2017] [Accepted: 11/13/2017] [Indexed: 12/12/2022]
Abstract
With the advent of checkpoint inhibition, immunotherapy has revolutionized the clinical management of several cancers, but has demonstrated limited efficacy in mammary carcinoma. Transcriptomic profiling of cancer samples defined distinct immunophenotypic categories characterized by different prognostic and predictive connotations. In breast cancer, genomic alterations leading to the dysregulation of mitogen-activated protein kinase (MAPK) pathways have been linked to an immune-silent phenotype associated with poor outcome and treatment resistance. These aberrations include mutations of MAP3K1 and MAP2K4, amplification of KRAS, BRAF, and RAF1, and truncations of NF1. Anticancer therapies targeting MAPK signaling by BRAF and MEK inhibitors have demonstrated clear immunologic effects. These off-target properties could be exploited to convert the immune-silent tumor phenotype into an immune-active one. Preclinical evidence supports that MAPK-pathway inhibition can dramatically increase the efficacy of immunotherapy. In this review, we provide a detailed overview of the immunomodulatory impact of MAPK-pathway blockade through BRAF and MEK inhibitions. While BRAF inhibition might be relevant in melanoma only, MEK inhibition is potentially applicable to a wide range of tumors. Context-dependent similarities and differences of MAPK modulation will be dissected, in light of the complexity of the MAPK pathways. Therapeutic strategies combining the favorable effects of MAPK-oriented interventions on the tumor microenvironment while maintaining T-cell function will be presented. Finally, we will discuss recent studies highlighting the rationale for the implementation of MAPK-interference approaches in combination with checkpoint inhibitors and immune agonists in breast cancer.
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Affiliation(s)
- Davide Bedognetti
- Tumor Biology, Immunology, and Therapy Section, Department of Immunology, Inflammation and Metabolism, Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, Doha, Qatar
- College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Jessica Roelands
- Tumor Biology, Immunology, and Therapy Section, Department of Immunology, Inflammation and Metabolism, Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, Doha, Qatar
| | - Julie Decock
- Cancer Center, Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Ena Wang
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, Doha, Qatar
| | - Wouter Hendrickx
- Tumor Biology, Immunology, and Therapy Section, Department of Immunology, Inflammation and Metabolism, Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, Doha, Qatar
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30
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Roelands J, Decock J, Boughorbel S, Rinchai D, Maccalli C, Ceccarelli M, Black M, Print C, Chou J, Presnell S, Quinn C, Jithesh P, Syed N, Al Bader SBJ, Bedri S, Wang E, Marincola FM, Chaussabel D, Kuppen P, Miller LD, Bedognetti D, Hendrickx W. A collection of annotated and harmonized human breast cancer transcriptome datasets, including immunologic classification. F1000Res 2017. [PMID: 29527288 PMCID: PMC5820610 DOI: 10.12688/f1000research.10960.2] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The increased application of high-throughput approaches in translational research has expanded the number of publicly available data repositories. Gathering additional valuable information contained in the datasets represents a crucial opportunity in the biomedical field. To facilitate and stimulate utilization of these datasets, we have recently developed an interactive data browsing and visualization web application, the Gene Expression Browser (GXB). In this note, we describe a curated compendium of 13 public datasets on human breast cancer, representing a total of 2142 transcriptome profiles. We classified the samples according to different immune based classification systems and integrated this information into the datasets. Annotated and harmonized datasets were uploaded to GXB. Study samples were categorized in different groups based on their immunologic tumor response profiles, intrinsic molecular subtypes and multiple clinical parameters. Ranked gene lists were generated based on relevant group comparisons. In this data note, we demonstrate the utility of GXB to evaluate the expression of a gene of interest, find differential gene expression between groups and investigate potential associations between variables with a specific focus on immunologic classification in breast cancer. This interactive resource is publicly available online at:
http://breastcancer.gxbsidra.org/dm3/geneBrowser/list.
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Affiliation(s)
- Jessica Roelands
- Tumor Biology, Immunology and Therapy section, Sidra Medical and Research Center, Doha, Qatar
| | - Julie Decock
- Qatar Biomedical Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar
| | - Sabri Boughorbel
- Systems Biology Department, Sidra Medical and Research Center, Doha, Qatar
| | - Darawan Rinchai
- Tumor Biology, Immunology and Therapy section, Sidra Medical and Research Center, Doha, Qatar
| | - Cristina Maccalli
- Tumor Biology, Immunology and Therapy section, Sidra Medical and Research Center, Doha, Qatar
| | | | - Michael Black
- Department of Biochemistry, Otago School of Medical Sciences, University of Otago, Dunedin, 9054, New Zealand
| | - Cris Print
- Department of Molecular Medicine and Pathology and Maurice Wilkins Institute, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, 1142, New Zealand
| | - Jeff Chou
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Scott Presnell
- Benaroya Research Institute at Virginia Mason, Seattle, WA, 98101, USA
| | - Charlie Quinn
- Benaroya Research Institute at Virginia Mason, Seattle, WA, 98101, USA
| | - Puthen Jithesh
- Translational Bioinformatics, Division of Biomedical Informatics Research, Sidra Medical and Research Center, Doha, Qatar
| | - Najeeb Syed
- Technical Bioinformatics team, Biomedical Informatics Division, Sidra Medical and Research Center, Doha, Qatar
| | - Salha B J Al Bader
- National Center for Cancer Care and Research (NCCCR), Hamad General Hospital, Doha, Qatar
| | | | - Ena Wang
- Division of Translational Medicine, Research Branch, Sidra Medical and Research Center, Doha, Qatar
| | - Francesco M Marincola
- Office of the Chief Research Officer (CRO), Research Branch, Sidra Medical and Research Center, Doha, Qatar
| | - Damien Chaussabel
- Systems Biology Department, Sidra Medical and Research Center, Doha, Qatar
| | - Peter Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, 2333 ZA, Netherlands
| | - Lance D Miller
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, 27157, USA
| | - Davide Bedognetti
- Tumor Biology, Immunology and Therapy section, Sidra Medical and Research Center, Doha, Qatar
| | - Wouter Hendrickx
- Tumor Biology, Immunology and Therapy section, Sidra Medical and Research Center, Doha, Qatar
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Ager C, Reilley M, Nicholas C, Bartkowiak T, Jaiswal A, Curran M, Albershardt TC, Bajaj A, Archer JF, Reeves RS, Ngo LY, Berglund P, ter Meulen J, Denis C, Ghadially H, Arnoux T, Chanuc F, Fuseri N, Wilkinson RW, Wagtmann N, Morel Y, Andre P, Atkins MB, Carlino MS, Ribas A, Thompson JA, Choueiri TK, Hodi FS, Hwu WJ, McDermott DF, Atkinson V, Cebon JS, Fitzharris B, Jameson MB, McNeil C, Hill AG, Mangin E, Ahamadi M, van Vugt M, van Zutphen M, Ibrahim N, Long GV, Gartrell R, Blake Z, Simoes I, Fu Y, Saito T, Qian Y, Lu Y, Saenger YM, Budhu S, De Henau O, Zappasodi R, Schlunegger K, Freimark B, Hutchins J, Barker CA, Wolchok JD, Merghoub T, Burova E, Allbritton O, Hong P, Dai J, Pei J, Liu M, Kantrowitz J, Lai V, Poueymirou W, MacDonald D, Ioffe E, Mohrs M, Olson W, Thurston G, Capasso C, Frascaro F, Carpi S, Tähtinen S, Feola S, Fusciello M, Peltonen K, Martins B, Sjöberg M, Pesonen S, Ranki T, Kyruk L, Ylösmäki E, Cerullo V, Cerignoli F, Xi B, Guenther G, Yu N, Muir L, Zhao L, Abassi Y, Cervera-Carrascón V, Siurala M, Santos J, Havunen R, Parviainen S, Hemminki A, Alemany R, Loskog A, Jhawar S, Goyal S, Bommareddy PK, Paneque T, Kaufman HL, Zloza A, Kaufman HL, Silk A, Dalgleish A, Mehnert J, Gabrail N, Bryan J, Medina D, Bommareddy PK, Shafren D, Grose M, Zloza A, Mitchell L, Yagiz K, Mudan S, Lopez F, Mendoza D, Munday A, Gruber H, Jolly D, Fuhrmann S, Radoja S, Tan W, Pourchet A, Frey A, DeBenedette M, Mohr I, Mulvey M, Ranki T, Pesonen S, Capasso C, Ylösmäki E, Cerullo V, Andtbacka RHI, Ross M, Agarwala S, Plachco A, Grossmann K, Taylor M, Vetto J, Neves R, Daud A, Khong H, Meek SM, Ungerleider R, Welden S, Tanaka M, Gamble A, Williams M, Andtbacka RHI, Curti B, Hallmeyer S, Fox B, Feng Z, Paustian C, Bifulco C, Grose M, Shafren D, Grogan EW, Zafar S, Parviainen S, Siurala M, Hemminki O, Havunen R, Tähtinen S, Bramante S, Vassilev L, Wang H, Lieber A, Krisko J, Hemmi S, de Gruijl T, Kanerva A, Hemminki A, Ansari T, Sundararaman S, Roen D, Lehmann P, Bloom AC, Bender LH, Tcherepanova I, Walters IB, Terabe M, Berzofsky JA, Chapelin F, Okada H, Ahrens ET, DeFalco J, Harbell M, Manning-Bog A, Scholz A, Nicolette C, Zhang D, Baia G, Tan YC, Sokolove J, Kim D, Williamson K, Chen X, Colrain J, Santo GE, Nguyen N, Dhupkar P, Volkmuth W, Greenberg N, Robinson W, Emerling D, Drake CG, Petrylak DP, Antonarakis ES, Kibel AS, Chang NN, Vu T, Yu L, Campogan D, Haynes H, Trager JB, Sheikh NA, Quinn DI, Kirk P, Addepalli M, Chang T, Zhang P, Konakova M, Kleinerman ES, Hagihara K, Pai S, VanderVeen L, Obalapur P, Kuo P, Quach P, Fong L, Charych DH, Zalevsky J, Langowski JL, Gordon N, Addepalli M, Kirksey Y, Nutakki R, Kolarkar S, Pena R, Hoch U, Zalevsky J, Doberstein SK, Charych DH, Cha J, Grenga I, Mallon Z, Perez M, McDaniel A, Anand S, Uecker D, Nuccitelli R, McDaniel A, Anand S, Cha J, Uecker D, Lepone L, Nuccitelli R, Obermajer N, Urban J, Wieckowski E, Muthuswamy R, Ravindranathan R, Bartlett D, Kalinski P, Renrick AN, Thounaojam M, Gameiro S, Thomas P, Pellom S, Shanker A, Pellom S, Thounaojam M, Dudimah D, Brooks A, Sayers TJ, Shanker A, Su YL, Knudson KM, Adamus T, Zhang Q, Nechaev S, Kortylewski M, Wei S, Allison J, Anderson C, Tang C, Schoenhals J, Tsouko E, Fantini M, Heymach J, de Groot P, Chang J, Hess KR, Diab A, Sharma P, Allison J, Naing A, Hong D, Welsh J, Tsang K, Albershardt TC, Parsons AJ, Leleux J, Reeves RS, ter Meulen J, Berglund P, Ascarateil S, Koziol ME, Penny SA, Malaker SA, Hodge J, Steadman L, Myers PT, Bai D, Shabanowitz J, Hunt DF, Cobbold M, Dai P, Wang W, Yang N, Shuman S, Donahue R, Merghoub T, Wolchok JD, Deng L, Dillon P, Petroni G, Brenin D, Bullock K, Olson W, Smolkin ME, Smith K, Schlom J, Nail C, Slingluff CL, Sharma M, Fa’ak F, Janssen L, Khong H, Xiao Z, Hailemichael Y, Singh M, Vianden C, Evans E, Diab A, Zalevsky J, Hoch U, Overwijk WW, Facciabene A, Stefano P, Chongyung F, Rafail S, Hailemichael Y, Nielsen M, Bussler H, Fa’ak F, Vanderslice P, Woodside DG, Market RV, Biediger RJ, Marathi UK, Overwijk WW, Hollevoet K, Geukens N, Declerck P, Mallow C, Joly N, McIntosh L, Paramithiotis E, Rizell M, Sternby M, Andersson B, Karlsson-Parra A, Kuai R, Ochyl L, Schwendeman A, Reilly C, Moon J, Deng W, Hudson TE, Lemmens EE, Hanson B, Rae CS, Burrill J, Skoble J, Katibah G, Murphy AL, Torno S, deVries M, Brockstedt DG, Leong ML, Lauer P, Dubensky TW, Whiting CC, Chen X, Hu Y, Xia Y, Zhou L, Scrivens M, Bao Y, Huang S, Ren X, Hurt E, Hollingsworth RE, Chang AE, Wicha MS, Li Q, Aggarwal C, Mangrolia D, Foster C, Cohen R, Weinstein G, Morrow M, Bauml J, Kraynyak K, Boyer J, Yan J, Lee J, Humeau L, Oyola S, Howell A, Duff S, Weiner D, Yang Z, Bagarazzi M, McNeel DG, Eickhoff J, Jeraj R, Staab MJ, Straus J, Rekoske B, Balch L, Liu G, Melssen M, Petroni G, Grosh W, Varhegyi N, Bullock K, Smolkin ME, Smith K, Galeassi N, Deacon DH, Knapp A, Gaughan E, Slingluff CL, Ghisoli M, Barve M, Mennel R, Wallraven G, Manning L, Senzer N, Nemunaitis J, Ogasawara M, Leonard JE, Ota S, Peace KM, Hale DF, Vreeland TJ, Jackson DO, Berry JS, Trappey AF, Herbert GS, Clifton GT, Hardin MO, Paris M, Toms A, Qiao N, Litton J, Peoples GE, Mittendorf EA, Ghamsari L, Flano E, Jacques J, Liu B, Havel J, Fisher T, Makarov V, Merghoub T, Wolchok JD, Hellmann MD, Chan TA, Flechtner JB, Stefano P, Facciabene A, Facciponte J, Ugel S, Hu-Lieskovan S, De Sanctis F, Coukos G, Paris S, Pottier A, Levy L, Lu B, Cappuccini F, Pollock E, Bryant R, Hamdy F, Ribas A, Hill A, Redchenko I, Sultan H, Kumai T, Fesenkova V, Celis E, Tsang K, Fantini M, Fernando I, Palena C, Smith E, David JM, Hodge J, Gabitzsch E, Jones F, Gulley JL, Schlom J, Herranz MU, Rafail S, Ugel S, Facciponte J, Zauderer M, Stefano P, Facciabene A, Wada H, Shimizu A, Osada T, Fukaya S, Sasaki E, Abolhalaj M, Askmyr D, Lundberg K, Fogler W, Albrekt AS, Greiff L, Lindstedt M, Flies DB, Higuchi T, Ornatowski W, Harris J, Adams SF, Aguilera T, Rafat M, Franklin M, Castellini L, Shehade H, Kariolis M, Jang D, vonEbyen R, Graves E, Ellies L, Rankin E, Koong A, Giaccia A, Thayer M, Ajina R, Wang S, Smith J, Pierobon M, Jablonski S, Petricoin E, Weiner LM, Sherry L, Waller J, Anderson M, Saims D, Bigley A, Bernatchez C, Haymaker C, Tannir NM, Kluger H, Tetzlaff M, Jackson N, Gergel I, Tagliaferri M, Zalevsky J, Magnani JL, Hoch U, Hwu P, Snzol M, Hurwitz M, Diab A, Barberi T, Martin A, Suresh R, Barakat D, Harris-Bookman S, Gong J, Drake C, Friedman A, Berkey S, Downs-Canner S, Delgoffe GM, Edwards RP, Curiel T, Odunsi K, Bartlett D, Obermajer N, Gray M, Bruno TC, Moore B, Squalls O, Ebner P, Waugh K, Mitchell J, Franklin W, Merrick D, McCarter M, Palmer B, Hutchins J, Kern J, Vignali D, Slansky J, Chan ASH, Qiu X, Fraser K, Jonas A, Ottoson N, Gordon K, Kangas TO, Freimark B, Leonardo S, Ertelt K, Walsh R, Uhlik M, Graff J, Bose N, Gupta R, Mandloi N, Paul K, Patil A, Fromm G, Sathian R, Mohan A, Manoharan M, Chaudhuri A, Chen Y, Lin J, Ye YB, Xu CW, Chen G, Guo ZQ, de Silva S, Komarov A, Chenchik A, Makhanov M, Frangou C, 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Newman J, Beltran P, Zloza A, Kaufman HL, Cao F, Hong BX, Rodriguez-Cruz T, Song XT, Gottschalk S, Calderon H, Illingworth S, Brown A, Fisher K, Seymour L, Champion B, Eriksson E, Wenthe J, Hellström AC, Paul-Wetterberg G, Loskog A, Eriksson E, Milenova I, Wenthe J, Ståhle M, Jarblad-Leja J, Ullenhag G, Dimberg A, Moreno R, Alemany R, Loskog A, Eriksson E, Milenova I, Moreno R. 31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016): part two. J Immunother Cancer 2016. [PMCID: PMC5123381 DOI: 10.1186/s40425-016-0173-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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