An integrated tumor, immune and microbiome atlas of colon cancer.


Journal

Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015

Informations de publication

Date de publication:
05 2023
Historique:
received: 29 12 2021
accepted: 28 03 2023
medline: 24 5 2023
pubmed: 19 5 2023
entrez: 18 5 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 37202560
doi: 10.1038/s41591-023-02324-5
pii: 10.1038/s41591-023-02324-5
pmc: PMC10202816
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1273-1286

Informations de copyright

© 2023. The Author(s).

Références

National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology https://www.nccn.org/guidelines/category_1 (2023).
Argilés, G. et al. Localised colon cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann. Oncol. 31, 1291–1305 (2020).
pubmed: 32702383 doi: 10.1016/j.annonc.2020.06.022
Sayaman, R. W. et al. Germline genetic contribution to the immune landscape of cancer. Immunity 54, 367–386 (2021).
pubmed: 33567262 pmcid: 8414660 doi: 10.1016/j.immuni.2021.01.011
Pagès, F. et al. International validation of the consensus Immunoscore for the classification of colon cancer: a prognostic and accuracy study. Lancet 391, 2128–2139 (2018).
pubmed: 29754777 doi: 10.1016/S0140-6736(18)30789-X
Mlecnik, B. et al. Integrative analyses of colorectal cancer show immunoscore is a stronger predictor of patient survival than microsatellite instability. Immunity 44, 698–711 (2016).
pubmed: 26982367 doi: 10.1016/j.immuni.2016.02.025
Bruni, D., Angell, H. K. & Galon, J. The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat. Rev. Cancer 20, 662–680 (2020).
pubmed: 32753728 doi: 10.1038/s41568-020-0285-7
Foersch, S. et al. Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer. Nat. Med. https://doi.org/10.1038/s41591-022-02134-1 (2023).
Iglesia, M. D. et al. Genomic analysis of immune cell infiltrates across 11 tumor types. J. Natl Cancer Inst. 108, djw144 (2016).
pubmed: 27335052 pmcid: 5241901 doi: 10.1093/jnci/djw144
Danaher, P. et al. Pan-cancer adaptive immune resistance as defined by the Tumor Inflammation Signature (TIS): results from The Cancer Genome Atlas (TCGA). J. Immunother. Cancer 6, 63 (2018).
pubmed: 29929551 pmcid: 6013904 doi: 10.1186/s40425-018-0367-1
Roelands, J. et al. Oncogenic states dictate the prognostic and predictive connotations of intratumoral immune response. J. Immunother. Cancer 8, e000617 (2020).
pubmed: 32376723 pmcid: 7223637 doi: 10.1136/jitc-2020-000617
Liu, J. et al. An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics. Cell 173, 400–416 (2018).
pubmed: 29625055 pmcid: 6066282 doi: 10.1016/j.cell.2018.02.052
Poore, G. D. et al. Microbiome analyses of blood and tissues suggest cancer diagnostic approach. Nature 579, 567–574 (2020).
pubmed: 32214244 pmcid: 7500457 doi: 10.1038/s41586-020-2095-1
Dohlman, A. B. et al. The cancer microbiome atlas: a pan-cancer comparative analysis to distinguish tissue-resident microbiota from contaminants. Cell Host Microbe 29, 281–298 (2021).
pubmed: 33382980 pmcid: 7878430 doi: 10.1016/j.chom.2020.12.001
Aran, D., Sirota, M. & Butte, A. J. Systematic pan-cancer analysis of tumour purity. Nat. Commun. 6, 8971 (2015).
pubmed: 26634437 doi: 10.1038/ncomms9971
Bindea, G. et al. Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer. Immunity 39, 782–795 (2013).
pubmed: 24138885 doi: 10.1016/j.immuni.2013.10.003
Guinney, J. et al. The Consensus Molecular Subtypes of colorectal cancer. Nat. Med. 21, 1350–1356 (2015).
pubmed: 26457759 pmcid: 4636487 doi: 10.1038/nm.3967
Mima, K. et al. Fusobacterium nucleatum in colorectal carcinoma tissue and patient prognosis. Gut 65, 1973–1980 (2016).
pubmed: 26311717 doi: 10.1136/gutjnl-2015-310101
Wang, E., Worschech, A. & Marincola, F. M. The Immunologic Constant of Rejection. Trends Immunol. 29, 256–262 (2008).
pubmed: 18457994 doi: 10.1016/j.it.2008.03.002
Galon, J., Angell, H. K., Bedognetti, D. & Marincola, F. M. The continuum of cancer immunosurveillance: prognostic, predictive, and mechanistic signatures. Immunity 39, 11–26 (2013).
pubmed: 23890060 doi: 10.1016/j.immuni.2013.07.008
Bertucci, F. et al. The Immunologic Constant of Rejection classification refines the prognostic value of conventional prognostic signatures in breast cancer. Br. J. Cancer 119, 1383–1391 (2018).
pubmed: 30353048 pmcid: 6265245 doi: 10.1038/s41416-018-0309-1
Hendrickx, W. et al. Identification of genetic determinants of breast cancer immune phenotypes by integrative genome-scale analysis. Oncoimmunology 6, e1253654 (2017).
pubmed: 28344865 pmcid: 5353940 doi: 10.1080/2162402X.2016.1253654
Sherif, S. et al. The immune landscape of solid pediatric tumors. J. Exp. Clin. Cancer Res. 41, 199 (2022).
pubmed: 35690832 pmcid: 9188257 doi: 10.1186/s13046-022-02397-z
Bertucci, F. et al. Immunologic Constant of Rejection signature is prognostic in soft-tissue sarcoma and refines the CINSARC signature. J. Immunother. Cancer 10, e003687 (2022).
pubmed: 35017155 pmcid: 8753443 doi: 10.1136/jitc-2021-003687
Rozenblit, M. et al. Transcriptomic profiles conducive to immune-mediated tumor rejection in human breast cancer skin metastases treated with Imiquimod. Sci. Rep. 9, 8572 (2019).
pubmed: 31189943 pmcid: 6561945 doi: 10.1038/s41598-019-42784-9
Mason, M. et al. A community challenge to predict clinical outcomes after immune checkpoint blockade in non-small cell lung cancer. Preprint at bioRxiv https://doi.org/10.1101/2022.12.05.518667 (2022).
Roelands, J. et al. Immunogenomic classification of colorectal cancer and therapeutic implications. Int. J. Mol. Sci. 18, 2229 (2017).
pubmed: 29064420 pmcid: 5666908 doi: 10.3390/ijms18102229
Schumacher, T. N. & Scheper, W. A liquid biopsy for cancer immunotherapy. Nat. Med 22, 340–341 (2016).
pubmed: 27050586 doi: 10.1038/nm.4074
Simoni, Y. Bystander CD8
pubmed: 29769722 doi: 10.1038/s41586-018-0130-2
Scheper, W. Low and variable tumor reactivity of the intratumoral TCR repertoire in human cancers. Nat. Med. 25, 89–94 (2019).
pubmed: 30510250 doi: 10.1038/s41591-018-0266-5
Bolotin, D. A. et al. MiXCR: software for comprehensive adaptive immunity profiling. Nat. Methods 12, 380–381 (2015).
pubmed: 25924071 doi: 10.1038/nmeth.3364
van der Leun, A. M., Thommen, D. S. & Schumacher, T. N. CD8
pubmed: 32024970 pmcid: 7115982 doi: 10.1038/s41568-019-0235-4
Bailey, M. H. et al. Comprehensive characterization of cancer driver genes and mutations. Cell 173, 371–385 (2018).
pubmed: 29625053 pmcid: 6029450 doi: 10.1016/j.cell.2018.02.060
Zhang, J. et al. Germline mutations in predisposition genes in pediatric cancer. N. Engl. J. Med. 373, 2336–2346 (2015).
pubmed: 26580448 pmcid: 4734119 doi: 10.1056/NEJMoa1508054
Gröbner, S. N. et al. The landscape of genomic alterations across childhood cancers. Nature 555, 321–327 (2018).
pubmed: 29489754 doi: 10.1038/nature25480
Saad, M. et al. Genetic predisposition to cancer across people of different ancestries in Qatar: a population-based, cohort study. Lancet Oncol. 23, 341–352 (2022).
pubmed: 35150601 doi: 10.1016/S1470-2045(21)00752-X
Ellrott, K. et al. Scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines. Cell Syst. 6, 271–281 (2018).
pubmed: 29596782 pmcid: 6075717 doi: 10.1016/j.cels.2018.03.002
Giannakis, M. et al. Genomic correlates of immune-cell infiltrates in colorectal carcinoma. Cell Rep. 15, 857–865 (2016).
pubmed: 27149842 pmcid: 4850357 doi: 10.1016/j.celrep.2016.03.075
Colaprico, A. et al. Interpreting pathways to discover cancer driver genes with Moonlight. Nat. Commun. 11, 69 (2020).
pubmed: 31900418 pmcid: 6941958 doi: 10.1038/s41467-019-13803-0
Harpaz, N. et al. Mucinous histology, BRCA1/2 mutations, and elevated tumor mutational burden in colorectal cancer. J. Oncol. 2020, e6421205 (2020).
Muzny, D. M. et al. Comprehensive molecular characterization of human colon and rectal cancer. Nature 487, 330–337 (2012).
doi: 10.1038/nature11252
Angelova, M. et al. Evolution of metastases in space and time under immune selection. Cell 175, 751–765 (2018).
pubmed: 30318143 doi: 10.1016/j.cell.2018.09.018
Kostic, A. D. et al. Genomic analysis identifies association of Fusobacterium with colorectal carcinoma. Genome Res. 22, 292–298 (2012).
pubmed: 22009990 pmcid: 3266036 doi: 10.1101/gr.126573.111
Wei, Z. et al. Could gut microbiota serve as prognostic biomarker associated with colorectal cancer patients’ survival? A pilot study on relevant mechanism. Oncotarget 7, 46158–46172 (2016).
pubmed: 27323816 pmcid: 5216788 doi: 10.18632/oncotarget.10064
Mima, K. et al. Fusobacterium nucleatum and T cells in colorectal carcinoma. JAMA Oncol. 1, 653–661 (2015).
pubmed: 26181352 pmcid: 4537376 doi: 10.1001/jamaoncol.2015.1377
Gur, C. et al. Binding of the Fap2 protein of Fusobacterium nucleatum to human inhibitory receptor TIGIT protects tumors from immune cell attack. Immunity 42, 344–355 (2015).
pubmed: 25680274 pmcid: 4361732 doi: 10.1016/j.immuni.2015.01.010
Gur, C. et al. Fusobacterium nucleatum supresses anti-tumor immunity by activating CEACAM1. Oncoimmunology 8, e1581531 (2019).
pubmed: 31069151 pmcid: 6492956 doi: 10.1080/2162402X.2019.1581531
Udayasuryan, B. et al. Fusobacterium nucleatum induces proliferation and migration in pancreatic cancer cells through host autocrine and paracrine signaling. Sci. Signal. 15, eabn4948 (2022).
pubmed: 36256708 pmcid: 9732933 doi: 10.1126/scisignal.abn4948
Friedman, J. & Alm, E. J. Inferring correlation networks from genomic survey data. PLoS Comput. Biol. 8, e1002687 (2012).
pubmed: 23028285 pmcid: 3447976 doi: 10.1371/journal.pcbi.1002687
Broz, M. L. et al. Dissecting the tumor myeloid compartment reveals rare activating antigen-presenting cells critical for T cell immunity. Cancer Cell 26, 638–652 (2014).
pubmed: 25446897 pmcid: 4254577 doi: 10.1016/j.ccell.2014.09.007
Helmink, B. A., Khan, M. A. W., Hermann, A., Gopalakrishnan, V. & Wargo, J. A. The microbiome, cancer, and cancer therapy. Nat. Med. 25, 377–388 (2019).
pubmed: 30842679 doi: 10.1038/s41591-019-0377-7
Nejman, D. et al. The human tumor microbiome is composed of tumor type-specific intracellular bacteria. Science 368, 973–980 (2020).
pubmed: 32467386 pmcid: 7757858 doi: 10.1126/science.aay9189
Smith, M. et al. Gut microbiome correlates of response and toxicity following anti-CD19 CAR T cell therapy. Nat. Med. 28, 713–723 (2022).
pubmed: 35288695 pmcid: 9434490 doi: 10.1038/s41591-022-01702-9
Gopalakrishnan, V. et al. Gut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients. Science 359, 97–103 (2017).
pubmed: 29097493 pmcid: 5827966 doi: 10.1126/science.aan4236
Liang, H. et al. Predicting cancer immunotherapy response from gut microbiomes using machine learning models. Oncotarget 13, 876–889 (2022).
pubmed: 35875611 pmcid: 9295706 doi: 10.18632/oncotarget.28252
Routy, B. et al. Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors. Science 359, 91–97 (2018).
pubmed: 29097494 doi: 10.1126/science.aan3706
Spencer, C. N. et al. Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. Science 374, 1632–1640 (2021).
pubmed: 34941392 pmcid: 8970537 doi: 10.1126/science.aaz7015
Simpson, R. C. et al. Diet-driven microbial ecology underpins associations between cancer immunotherapy outcomes and the gut microbiome. Nat. Med 28, 2344–2352 (2022).
pubmed: 36138151 doi: 10.1038/s41591-022-01965-2
Chalabi, M. et al. Neoadjuvant immunotherapy leads to pathological responses in MMR-proficient and MMR-deficient early-stage colon cancers. Nat. Med. 26, 566–576 (2020).
pubmed: 32251400 doi: 10.1038/s41591-020-0805-8
Messaoudene, M. et al. A natural polyphenol exerts antitumor activity and circumvents anti-PD-1 resistance through effects on the gut microbiota. Cancer Discov. 12, 1070–1087 (2022).
pubmed: 35031549 pmcid: 9394387 doi: 10.1158/2159-8290.CD-21-0808
Liu, L. et al. Breast cancer stem cells characterized by CD70 expression preferentially metastasize to the lungs. Breast Cancer 25, 706–716 (2018).
pubmed: 29948958 doi: 10.1007/s12282-018-0880-6
Galeano Niño, J. L. et al. Effect of the intratumoral microbiota on spatial and cellular heterogeneity in cancer. Nature 611, 810–817 (2022).
pubmed: 36385528 pmcid: 9684076 doi: 10.1038/s41586-022-05435-0
Noviello, T. M. R. et al. Guadecitabine plus ipilimumab in unresectable melanoma: five-year follow-up and correlation with integrated, multiomic analysis in the NIBIT-M4 trial. Preprint at medRxiv https://doi.org/10.1101/2023.02.09.23285227 (2023).
Łuksza, M. et al. Neoantigen quality predicts immunoediting in survivors of pancreatic cancer. Nature 606, 389–395 (2022).
pubmed: 35589842 pmcid: 9177421 doi: 10.1038/s41586-022-04735-9
Zapata, L. et al. Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors. Nat. Genet. 55, 451–460 (2023).
pubmed: 36894710 pmcid: 10011129 doi: 10.1038/s41588-023-01313-1
Li, H. & Durbin, R. Fast and accurate long-read alignment with Burrows–Wheeler transform. Bioinformatics 26, 589–595 (2010).
pubmed: 20080505 pmcid: 2828108 doi: 10.1093/bioinformatics/btp698
Huang, K. et al. Pathogenic germline variants in 10,389 adult cancers. Cell 173, 355–370 (2018).
pubmed: 29625052 pmcid: 5949147 doi: 10.1016/j.cell.2018.03.039
Vogelstein, B. et al. Cancer genome landscapes. Science 339, 1546–1558 (2013).
pubmed: 23539594 pmcid: 3749880 doi: 10.1126/science.1235122
Chakravarty, D. et al. OncoKB: a precision oncology knowledge base. JCO Precis. Oncol 1, 1–16 (2017).
Wilkerson, M. D. & Hayes, D. N. ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking. Bioinformatics 26, 1572–1573 (2010).
pubmed: 20427518 pmcid: 2881355 doi: 10.1093/bioinformatics/btq170
Jiménez-Sánchez, A., Cast, O. & Miller, M. L. Comprehensive benchmarking and integration of tumor microenvironment cell estimation. Methods Cancer Res. 79, 6238–6246 (2019).
pubmed: 31641033 doi: 10.1158/0008-5472.CAN-18-3560
Barbie, D. A. et al. Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1. Nature 462, 108–112 (2009).
pubmed: 19847166 pmcid: 2783335 doi: 10.1038/nature08460
Thorsson, V. et al. The immune landscape of cancer. Immunity 48, 812–830 (2018).
pubmed: 29628290 pmcid: 5982584 doi: 10.1016/j.immuni.2018.03.023
Sayaman, R. W. et al. Analytic pipelines to assess the relationship between immune response and germline genetics in human tumors. STAR Protoc. 3, 101809 (2022).
pubmed: 36595917 pmcid: 9772839 doi: 10.1016/j.xpro.2022.101809
Benci, J. L. et al. Opposing functions of interferon coordinate adaptive and innate immune responses to cancer immune checkpoint blockade. Cell 178, 933–948 (2019).
pubmed: 31398344 pmcid: 6830508 doi: 10.1016/j.cell.2019.07.019
Beausang, J. F. et al. T cell receptor sequencing of early-stage breast cancer tumors identifies altered clonal structure of the T cell repertoire. Proc. Natl Acad. Sci. USA 114, E10409–E10417 (2017).
pubmed: 29138313 pmcid: 5715779 doi: 10.1073/pnas.1713863114
D’Angelo, F. et al. The molecular landscape of glioma in patients with neurofibromatosis 1. Nat. Med. 25, 176–187 (2019).
pubmed: 30531922 doi: 10.1038/s41591-018-0263-8
Bonneville, R. et al. Landscape of microsatellite instability across 39 cancer types. JCO Precis. Oncol. 1, 1–15 (2017).
Szolek, A. et al. OptiType: precision HLA typing from next-generation sequencing data. Bioinformatics 30, 3310–3316 (2014).
pubmed: 25143287 pmcid: 4441069 doi: 10.1093/bioinformatics/btu548
Zhang, J. et al. The combination of neoantigen quality and T lymphocyte infiltrates identifies glioblastomas with the longest survival. Commun. Biol. 2, 1–10 (2019).
doi: 10.1038/s42003-019-0369-7
Truong, D. T. et al. MetaPhlAn2 for enhanced metagenomic taxonomic profiling. Nat. Methods 12, 902–903 (2015).
pubmed: 26418763 doi: 10.1038/nmeth.3589
Wang, R.-F., Cao, W.-W. & Cerniglia, C. E. PCR detection of Ruminococcus spp. in human and animal faecal samples. Mol. Cell. Probes 11, 259–265 (1997).
pubmed: 9281411 doi: 10.1006/mcpr.1997.0111
Salter, S. J. et al. Reagent and laboratory contamination can critically impact sequence-based microbiome analyses. BMC Biol. 12, 87 (2014).
pubmed: 25387460 pmcid: 4228153 doi: 10.1186/s12915-014-0087-z
Weiss, S. et al. Correlation detection strategies in microbial data sets vary widely in sensitivity and precision. ISME J. 10, 1669–1681 (2016).
pubmed: 26905627 pmcid: 4918442 doi: 10.1038/ismej.2015.235
Peschel, S., Müller, C. L., von Mutius, E., Boulesteix, A.-L. & Depner, M. NetCoMi: network construction and comparison for microbiome data in R. Brief. Bioinform. 22, bbaa290 (2021).
pubmed: 33264391 doi: 10.1093/bib/bbaa290
Henderson, G. et al. Improved taxonomic assignment of rumen bacterial 16S rRNA sequences using a revised SILVA taxonomic framework. PeerJ 7, e6496 (2019).
pubmed: 30863673 pmcid: 6407505 doi: 10.7717/peerj.6496
Spratt, D. E. et al. Racial/ethnic disparities in genomic sequencing. JAMA Oncol. 2, 1070–1074 (2016).
pubmed: 27366979 pmcid: 5123755 doi: 10.1001/jamaoncol.2016.1854
Roelands, J. et al. Supplementary Data AC-ICAM. Figshare https://doi.org/10.6084/m9.figshare.16944775.v1 (2023).

Auteurs

Jessica Roelands (J)

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 (PJK)

Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.

Eiman I Ahmed (EI)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Raghvendra Mall (R)

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 (T)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Parul Singh (P)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Gianni Monaco (G)

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 (C)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Noel F C C de Miranda (NFCC)

Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.

Luigi Ferraro (L)

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.

Tatiana C Carneiro-Lobo (TC)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Najeeb Syed (N)

Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar.

Arun Rawat (A)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Amany Awad (A)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Julie Decock (J)

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 (W)

Department of Pathology, Sidra Medicine, Doha, Qatar.
Weill-Cornell Medicine Qatar, Doha, Qatar.

Lance D Miller (LD)

Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, USA.

Shimaa Sherif (S)

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 (MG)

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 (D)

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 (M)

Institut Roi Albert II, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium.

Rosalyn W Sayaman (RW)

Department of Laboratory Medicine, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.

Elad Ziv (E)

Department of Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.

Francois Bertucci (F)

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 (MA)

Department of Laboratory Medicine and Pathology, Hamad Medical Corporation, Doha, Qatar.

Stephan Lorenz (S)

Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar.

Lisa Sara Mathew (LS)

Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar.

Kun Wang (K)

Integrated Genomics Services, Research Branch, Sidra Medicine, Doha, Qatar.

Selvasankar Murugesan (S)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Damien Chaussabel (D)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.
Computational Sciences Department, The Jackson Laboratory, Farmington, CT, USA.

Alexander L Vahrmeijer (AL)

Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.

Ena Wang (E)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.
Nurix Therapeutics, San Francisco, CA, USA.

Anna Ceccarelli (A)

Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS- Università Cattolica del Sacro Cuore, Rome, Italy.

Khalid A Fakhro (KA)

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 (G)

Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy.
IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Alberto Ballestrero (A)

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 (RAEM)

Department of Surgery, Leiden University Medical Center, Leiden, The Netherlands.

Francesco M Marincola (FM)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.
Sonata Therapeutics, Watertown, MA, USA.

Jérôme Galon (J)

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 (SA)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar.

Michele Ceccarelli (M)

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 (W)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar. wouterhendrickx79@gmail.com.
College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar. wouterhendrickx79@gmail.com.

Davide Bedognetti (D)

Translational Medicine Division, Research Branch, Sidra Medicine, Doha, Qatar. davidebedognetti@gmail.com.
College of Health and Life Sciences, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar. davidebedognetti@gmail.com.
Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, Genoa, Italy. davidebedognetti@gmail.com.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH