Literature DB >> 28126714

Systematic Pan-Cancer Analysis Reveals Immune Cell Interactions in the Tumor Microenvironment.

Frederick S Varn1, Yue Wang1,2, David W Mullins3,4,5, Steven Fiering1,4,5, Chao Cheng6,5,7.   

Abstract

With the recent advent of immunotherapy, there is a critical need to understand immune cell interactions in the tumor microenvironment in both pan-cancer and tissue-specific contexts. Multidimensional datasets have enabled systematic approaches to dissect these interactions in large numbers of patients, furthering our understanding of the patient immune response to solid tumors. Using an integrated approach, we inferred the infiltration levels of distinct immune cell subsets in 23 tumor types from The Cancer Genome Atlas. From these quantities, we constructed a coinfiltration network, revealing interactions between cytolytic cells and myeloid cells in the tumor microenvironment. By integrating patient mutation data, we found that while mutation burden was associated with immune infiltration differences between distinct tumor types, additional factors likely explained differences between tumors originating from the same tissue. We concluded this analysis by examining the prognostic value of individual immune cell subsets as well as how coinfiltration of functionally discordant cell types associated with patient survival. In multiple tumor types, we found that the protective effect of CD8+ T cell infiltration was heavily modulated by coinfiltration of macrophages and other myeloid cell types, suggesting the involvement of myeloid-derived suppressor cells in tumor development. Our findings illustrate complex interactions between different immune cell types in the tumor microenvironment and indicate these interactions play meaningful roles in patient survival. These results demonstrate the importance of personalized immune response profiles when studying the factors underlying tumor immunogenicity and immunotherapy response. Cancer Res; 77(6); 1271-82. ©2017 AACR. ©2017 American Association for Cancer Research.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 28126714      PMCID: PMC5798883          DOI: 10.1158/0008-5472.CAN-16-2490

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  49 in total

Review 1.  Immunity, inflammation, and cancer.

Authors:  Sergei I Grivennikov; Florian R Greten; Michael Karin
Journal:  Cell       Date:  2010-03-19       Impact factor: 41.582

2.  Tumor-infiltrating CD8+ lymphocytes predict clinical outcome in breast cancer.

Authors:  Sahar M A Mahmoud; Emma Claire Paish; Desmond G Powe; R Douglas Macmillan; Matthew J Grainge; Andrew H S Lee; Ian O Ellis; Andrew R Green
Journal:  J Clin Oncol       Date:  2011-04-11       Impact factor: 44.544

Review 3.  Myeloid-derived suppressor cells in the tumor microenvironment: expect the unexpected.

Authors:  Douglas Marvel; Dmitry I Gabrilovich
Journal:  J Clin Invest       Date:  2015-07-13       Impact factor: 14.808

4.  Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

Authors:  Naiyer A Rizvi; Matthew D Hellmann; Alexandra Snyder; Pia Kvistborg; Vladimir Makarov; Jonathan J Havel; William Lee; Jianda Yuan; Phillip Wong; Teresa S Ho; Martin L Miller; Natasha Rekhtman; Andre L Moreira; Fawzia Ibrahim; Cameron Bruggeman; Billel Gasmi; Roberta Zappasodi; Yuka Maeda; Chris Sander; Edward B Garon; Taha Merghoub; Jedd D Wolchok; Ton N Schumacher; Timothy A Chan
Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

5.  The humoral immune system has a key prognostic impact in node-negative breast cancer.

Authors:  Marcus Schmidt; Daniel Böhm; Christian von Törne; Eric Steiner; Alexander Puhl; Henryk Pilch; Hans-Anton Lehr; Jan G Hengstler; Heinz Kölbl; Mathias Gehrmann
Journal:  Cancer Res       Date:  2008-07-01       Impact factor: 12.701

6.  Quantitative image analysis of cellular heterogeneity in breast tumors complements genomic profiling.

Authors:  Yinyin Yuan; Henrik Failmezger; Oscar M Rueda; H Raza Ali; Stefan Gräf; Suet-Feung Chin; Roland F Schwarz; Christina Curtis; Mark J Dunning; Helen Bardwell; Nicola Johnson; Sarah Doyle; Gulisa Turashvili; Elena Provenzano; Sam Aparicio; Carlos Caldas; Florian Markowetz
Journal:  Sci Transl Med       Date:  2012-10-24       Impact factor: 17.956

7.  MSIsensor: microsatellite instability detection using paired tumor-normal sequence data.

Authors:  Beifang Niu; Kai Ye; Qunyuan Zhang; Charles Lu; Mingchao Xie; Michael D McLellan; Michael C Wendl; Li Ding
Journal:  Bioinformatics       Date:  2013-12-25       Impact factor: 6.937

8.  Inferring tumour purity and stromal and immune cell admixture from expression data.

Authors:  Kosuke Yoshihara; Maria Shahmoradgoli; Emmanuel Martínez; Rahulsimham Vegesna; Hoon Kim; Wandaliz Torres-Garcia; Victor Treviño; Hui Shen; Peter W Laird; Douglas A Levine; Scott L Carter; Gad Getz; Katherine Stemke-Hale; Gordon B Mills; Roel G W Verhaak
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

9.  PD-1 blockade induces responses by inhibiting adaptive immune resistance.

Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

10.  Inferring activity changes of transcription factors by binding association with sorted expression profiles.

Authors:  Chao Cheng; Xiting Yan; Fengzhu Sun; Lei M Li
Journal:  BMC Bioinformatics       Date:  2007-11-16       Impact factor: 3.169

View more
  67 in total

1.  Robust Cell Detection and Segmentation for Image Cytometry Reveal Th17 Cell Heterogeneity.

Authors:  Takahiro Tsujikawa; Guillaume Thibault; Vahid Azimi; Sam Sivagnanam; Grace Banik; Casey Means; Rie Kawashima; Daniel R Clayburgh; Joe W Gray; Lisa M Coussens; Young Hwan Chang
Journal:  Cytometry A       Date:  2019-02-04       Impact factor: 4.355

2.  Tumor hypoxia represses γδ T cell-mediated antitumor immunity against brain tumors.

Authors:  Jang Hyun Park; Hyun-Jin Kim; Chae Won Kim; Hyeon Cheol Kim; Yujin Jung; Hyun-Soo Lee; Yunah Lee; Young Seok Ju; Ji Eun Oh; Sung-Hong Park; Jeong Ho Lee; Sung Ki Lee; Heung Kyu Lee
Journal:  Nat Immunol       Date:  2021-02-11       Impact factor: 25.606

3.  Multifactorial Deep Learning Reveals Pan-Cancer Genomic Tumor Clusters with Distinct Immunogenomic Landscape and Response to Immunotherapy.

Authors:  Feng Xie; Jianjun Zhang; Jiayin Wang; Alexandre Reuben; Wei Xu; Xin Yi; Frederick S Varn; Yongsheng Ye; Junwen Cheng; Miao Yu; Yue Wang; Yufeng Liu; Mingchao Xie; Peng Du; Ke Ma; Xin Ma; Penghui Zhou; Shengli Yang; Yaobing Chen; Guoping Wang; Xuefeng Xia; Zhongxing Liao; John V Heymach; Ignacio I Wistuba; P Andrew Futreal; Kai Ye; Chao Cheng; Tian Xia
Journal:  Clin Cancer Res       Date:  2020-01-07       Impact factor: 12.531

4.  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

5.  Predictors of disease aggressiveness influence outcome from immunotherapy treatment in renal clear cell carcinoma.

Authors:  Yasmin Kamal; Chao Cheng; H Robert Frost; Christopher I Amos
Journal:  Oncoimmunology       Date:  2018-10-16       Impact factor: 8.110

6.  Therapy-Induced MHC I Ligands Shape Neo-Antitumor CD8 T Cell Responses during Oncolytic Virus-Based Cancer Immunotherapy.

Authors:  J Patrick Murphy; Youra Kim; Derek R Clements; Prathyusha Konda; Heiko Schuster; Daniel J Kowalewski; Joao A Paulo; Alejandro M Cohen; Stefan Stevanovic; Steven P Gygi; Shashi Gujar
Journal:  J Proteome Res       Date:  2019-05-29       Impact factor: 4.466

Review 7.  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

8.  Genomic Characterization of Six Virus-Associated Cancers Identifies Changes in the Tumor Immune Microenvironment and Altered Genetic Programs.

Authors:  Frederick S Varn; Evelien Schaafsma; Yue Wang; Chao Cheng
Journal:  Cancer Res       Date:  2018-09-25       Impact factor: 12.701

9.  Comparative Molecular Life History of Spontaneous Canine and Human Gliomas.

Authors:  Samirkumar B Amin; Kevin J Anderson; C Elizabeth Boudreau; Emmanuel Martinez-Ledesma; Emre Kocakavuk; Kevin C Johnson; Floris P Barthel; Frederick S Varn; Cynthia Kassab; Xiaoyang Ling; Hoon Kim; Mary Barter; Ching C Lau; Chew Yee Ngan; Margaret Chapman; Jennifer W Koehler; James P Long; Andrew D Miller; C Ryan Miller; Brian F Porter; Daniel R Rissi; Christina Mazcko; Amy K LeBlanc; Peter J Dickinson; Rebecca A Packer; Amanda R Taylor; John H Rossmeisl; Kevin D Woolard; Amy B Heimberger; Jonathan M Levine; Roel G W Verhaak
Journal:  Cancer Cell       Date:  2020-02-10       Impact factor: 31.743

Review 10.  Tumor Microenvironment Dynamics in Clear-Cell Renal Cell Carcinoma.

Authors:  Lynda Vuong; Ritesh R Kotecha; Martin H Voss; A Ari Hakimi
Journal:  Cancer Discov       Date:  2019-09-16       Impact factor: 39.397

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.