Literature DB >> 29666300

A Pan-cancer Landscape of Interactions between Solid Tumors and Infiltrating Immune Cell Populations.

David Tamborero1,2, Carlota Rubio-Perez3,2, Ferran Muiños2, Radhakrishnan Sabarinathan2, Josep M Piulats4, Aura Muntasell5, Rodrigo Dienstmann6,7, Nuria Lopez-Bigas3,2,8, Abel Gonzalez-Perez1,2.   

Abstract

Purpose: Throughout their development, tumors are challenged by the immune system, and they acquire features to evade its surveillance. A systematic view of these traits, which shed light on how tumors respond to immunotherapies, is still lacking.Experimental Design: Here, we computed the relative abundance of an array of immune cell populations to measure the immune infiltration pattern of 9,174 tumors of 29 solid cancers. We then clustered tumors with similar infiltration pattern to define immunophenotypes. Finally, we identified genomic and transcriptomic traits associated to these immunophenotypes across cancer types.
Results: In highly cytotoxic immunophenotypes, we found tumors with low clonal heterogeneity enriched for alterations of genes involved in epigenetic regulation, ubiquitin-mediated proteolysis, antigen presentation, and cell-cell communication, which may drive resistance in combination with the ectopic expression of negative immune checkpoints. Tumors with immunophenotypes of intermediate cytotoxicity are characterized by an upregulation of processes involved in neighboring tissue invasion and remodeling that may foster the recruitment of immunosuppressive cells. Tumors with poorly cytotoxic immunophenotype tend to be of more advanced stages and bear a greater burden of copy number alterations and frequent alterations of cell cycle, hedgehog, β-catenin, and TGFβ pathways, which may cause immune depletion.Conclusions: We provide a comprehensive landscape of the characteristics of solid tumors that may influence (or be influenced by) the characteristics of their immune infiltrate. These results may help interpret the response of solid tumors to immunotherapies and guide the development of novel drug combination strategies. Clin Cancer Res; 24(15); 3717-28. ©2018 AACR. ©2018 American Association for Cancer Research.

Entities:  

Year:  2018        PMID: 29666300     DOI: 10.1158/1078-0432.CCR-17-3509

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  111 in total

1.  The Immune Subtypes and Landscape of Squamous Cell Carcinoma.

Authors:  Bailiang Li; Yi Cui; Dhanya K Nambiar; John B Sunwoo; Ruijiang Li
Journal:  Clin Cancer Res       Date:  2019-03-04       Impact factor: 12.531

2.  Identification of Subtypes of Barrett's Esophagus and Esophageal Adenocarcinoma Based on DNA Methylation Profiles and Integration of Transcriptome and Genome Data.

Authors:  SriGanesh Jammula; Annalise C Katz-Summercorn; Xiaodun Li; Constanza Linossi; Elizabeth Smyth; Sarah Killcoyne; Daniele Biasci; Vinod V Subash; Sujath Abbas; Adrienn Blasko; Ginny Devonshire; Amber Grantham; Filip Wronowski; Maria O'Donovan; Nicola Grehan; Matthew D Eldridge; Simon Tavaré; Rebecca C Fitzgerald
Journal:  Gastroenterology       Date:  2020-02-04       Impact factor: 22.682

3.  A Leukocyte Infiltration Score Defined by a Gene Signature Predicts Melanoma Patient Prognosis.

Authors:  Yanding Zhao; Evelien Schaafsma; Ivan P Gorlov; Eva Hernando; Nancy E Thomas; Ronglai Shen; Mary Jo Turk; Marianne Berwick; Christopher I Amos; Chao Cheng
Journal:  Mol Cancer Res       Date:  2018-08-31       Impact factor: 5.852

4.  Radiomic profiles in diffuse glioma reveal distinct subtypes with prognostic value.

Authors:  Peng Lin; Yu-Ting Peng; Rui-Zhi Gao; Yan Wei; Xiao-Jiao Li; Su-Ning Huang; Ye-Ying Fang; Zhu-Xin Wei; Zhi-Guang Huang; Hong Yang; Gang Chen
Journal:  J Cancer Res Clin Oncol       Date:  2020-02-17       Impact factor: 4.553

Review 5.  Not all cancers are created equal: Tissue specificity in cancer genes and pathways.

Authors:  Joy J Bianchi; Xin Zhao; Joseph C Mays; Teresa Davoli
Journal:  Curr Opin Cell Biol       Date:  2020-02-21       Impact factor: 8.382

6.  Identification and validation of tumor environment phenotypes in lung adenocarcinoma by integrative genome-scale analysis.

Authors:  Guoshu Bi; Zhencong Chen; Xiaodong Yang; Jiaqi Liang; Zhengyang Hu; Yunyi Bian; Qihai Sui; Runmei Li; Cheng Zhan; Hong Fan
Journal:  Cancer Immunol Immunother       Date:  2020-03-18       Impact factor: 6.968

7.  Identification of immune-related genes with prognostic significance in the microenvironment of cutaneous melanoma.

Authors:  Yan Qu; Shuqing Zhang; Yan Zhang; Xien Feng; Fengjuan Wang
Journal:  Virchows Arch       Date:  2020-11-12       Impact factor: 4.064

8.  Natural killer cell and stroma abundance are independently prognostic and predict gastric cancer chemotherapy benefit.

Authors:  Bailiang Li; Yuming Jiang; Guoxin Li; George A Fisher; Ruijiang Li
Journal:  JCI Insight       Date:  2020-05-07

Review 9.  Adrenocortical carcinoma - towards genomics guided clinical care.

Authors:  Joakim Crona; Felix Beuschlein
Journal:  Nat Rev Endocrinol       Date:  2019-09       Impact factor: 43.330

10.  Topological Tumor Graphs: A Graph-Based Spatial Model to Infer Stromal Recruitment for Immunosuppression in Melanoma Histology.

Authors:  Henrik Failmezger; Sathya Muralidhar; Antonio Rullan; Carlos E de Andrea; Erik Sahai; Yinyin Yuan
Journal:  Cancer Res       Date:  2019-12-24       Impact factor: 12.701

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