Literature DB >> 29192647

Implications of the tumor immune microenvironment for staging and therapeutics.

Janis M Taube1,2,3, Jérôme Galon4,5,6, Lynette M Sholl7, Scott J Rodig7, Tricia R Cottrell2, Nicolas A Giraldo1,2, Alexander S Baras2, Sanjay S Patel7, Robert A Anders2, David L Rimm8, Ashley Cimino-Mathews2,3.   

Abstract

Characterizing the tumor immune microenvironment enables the identification of new prognostic and predictive biomarkers, the development of novel therapeutic targets and strategies, and the possibility to guide first-line treatment algorithms. Although the driving elements within the tumor microenvironment of individual primary organ sites differ, many of the salient features remain the same. The presence of a robust antitumor milieu characterized by an abundance of CD8+ cytotoxic T-cells, Th1 helper cells, and associated cytokines often indicates a degree of tumor containment by the immune system and can even lead to tumor elimination. Some of these features have been combined into an 'Immunoscore', which has been shown to complement the prognostic ability of the current TNM staging for early stage colorectal carcinomas. Features of the immune microenvironment are also potential therapeutic targets, and immune checkpoint inhibitors targeting the PD-1/PD-L1 axis are especially promising. FDA-approved indications for anti-PD-1/PD-L1 are rapidly expanding across numerous tumor types and, in certain cases, are accompanied by companion or complimentary PD-L1 immunohistochemical diagnostics. Pathologists have direct visual access to tumor tissue and in-depth knowledge of the histological variations between and within tumor types and thus are poised to drive forward our understanding of the tumor microenvironment. This review summarizes the key components of the tumor microenvironment, presents an overview of and the challenges with PD-L1 antibodies and assays, and addresses newer candidate biomarkers, such as CD8+ cell density and mutational load. Characteristics of the local immune contexture and current pathology-related practices for specific tumor types are also addressed. In the future, characterization of the host antitumor immune response using multiplexed and multimodality biomarkers may help predict which patients will respond to immune-based therapies.

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Year:  2017        PMID: 29192647      PMCID: PMC6132263          DOI: 10.1038/modpathol.2017.156

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  159 in total

1.  PD-L1 expression and the immune microenvironment in primary invasive lobular carcinomas of the breast.

Authors:  Elizabeth D Thompson; Janis M Taube; Rebecca J Asch-Kendrick; Aleksandra Ogurtsova; Haiying Xu; Rajni Sharma; Alan Meeker; Pedram Argani; Leisha A Emens; Ashley Cimino-Mathews
Journal:  Mod Pathol       Date:  2017-07-21       Impact factor: 7.842

2.  Integrative analysis reveals selective 9p24.1 amplification, increased PD-1 ligand expression, and further induction via JAK2 in nodular sclerosing Hodgkin lymphoma and primary mediastinal large B-cell lymphoma.

Authors:  Michael R Green; Stefano Monti; Scott J Rodig; Przemyslaw Juszczynski; Treeve Currie; Evan O'Donnell; Bjoern Chapuy; Kunihiko Takeyama; Donna Neuberg; Todd R Golub; Jeffery L Kutok; Margaret A Shipp
Journal:  Blood       Date:  2010-07-13       Impact factor: 22.113

3.  The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: recommendations by an International TILs Working Group 2014.

Authors:  R Salgado; C Denkert; S Demaria; N Sirtaine; F Klauschen; G Pruneri; S Wienert; G Van den Eynden; F L Baehner; F Penault-Llorca; E A Perez; E A Thompson; W F Symmans; A L Richardson; J Brock; C Criscitiello; H Bailey; M Ignatiadis; G Floris; J Sparano; Z Kos; T Nielsen; D L Rimm; K H Allison; J S Reis-Filho; S Loibl; C Sotiriou; G Viale; S Badve; S Adams; K Willard-Gallo; S Loi
Journal:  Ann Oncol       Date:  2014-09-11       Impact factor: 32.976

4.  Histopathologic Features of Colitis Due to Immunotherapy With Anti-PD-1 Antibodies.

Authors:  Jonathan H Chen; Maryam K Pezhouh; Gregory Y Lauwers; Ricard Masia
Journal:  Am J Surg Pathol       Date:  2017-05       Impact factor: 6.394

5.  Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients.

Authors:  Roy S Herbst; Jean-Charles Soria; Marcin Kowanetz; Gregg D Fine; Omid Hamid; Michael S Gordon; Jeffery A Sosman; David F McDermott; John D Powderly; Scott N Gettinger; Holbrook E K Kohrt; Leora Horn; Donald P Lawrence; Sandra Rost; Maya Leabman; Yuanyuan Xiao; Ahmad Mokatrin; Hartmut Koeppen; Priti S Hegde; Ira Mellman; Daniel S Chen; F Stephen Hodi
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

6.  PD-L1 expression in melanocytic lesions does not correlate with the BRAF V600E mutation.

Authors:  Nemanja Rodić; Robert A Anders; James R Eshleman; Ming-Tseh Lin; Haiying Xu; Jung H Kim; Katie Beierl; Shuming Chen; Brandon S Luber; Hao Wang; Suzanne L Topalian; Drew M Pardoll; Janis M Taube
Journal:  Cancer Immunol Res       Date:  2014-11-04       Impact factor: 11.151

7.  Objective measurement and clinical significance of TILs in non-small cell lung cancer.

Authors:  Kurt A Schalper; Jason Brown; Daniel Carvajal-Hausdorf; Joseph McLaughlin; Vamsidhar Velcheti; Konstantinos N Syrigos; Roy S Herbst; David L Rimm
Journal:  J Natl Cancer Inst       Date:  2015-02-03       Impact factor: 11.816

8.  Quantitative and pathologist-read comparison of the heterogeneity of programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer.

Authors:  Jamaal A Rehman; Gang Han; Daniel E Carvajal-Hausdorf; Brad E Wasserman; Vasiliki Pelekanou; Nikita L Mani; Joseph McLaughlin; Kurt A Schalper; David L Rimm
Journal:  Mod Pathol       Date:  2016-11-11       Impact factor: 7.842

9.  Basal cell carcinoma: PD-L1/PD-1 checkpoint expression and tumor regression after PD-1 blockade.

Authors:  Evan J Lipson; Mohammed T Lilo; Aleksandra Ogurtsova; Jessica Esandrio; Haiying Xu; Patricia Brothers; Megan Schollenberger; William H Sharfman; Janis M Taube
Journal:  J Immunother Cancer       Date:  2017-03-21       Impact factor: 13.751

10.  Molecular profiling of head and neck squamous cell carcinoma.

Authors:  Rebecca Feldman; Zoran Gatalica; Joseph Knezetic; Sandeep Reddy; Cherie-Ann Nathan; Nader Javadi; Theodoros Teknos
Journal:  Head Neck       Date:  2015-11-28       Impact factor: 3.147

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  111 in total

Review 1.  The Role of Immune Escape and Immune Cell Infiltration in Breast Cancer.

Authors:  André Steven; Barbara Seliger
Journal:  Breast Care (Basel)       Date:  2018-02-02       Impact factor: 2.860

2.  Next-Generation Sequencing-Based Assessment of JAK2, PD-L1, and PD-L2 Copy Number Alterations at 9p24.1 in Breast Cancer: Potential Implications for Clinical Management.

Authors:  Sounak Gupta; Chad M Vanderbilt; Paolo Cotzia; Javier A Arias-Stella; Jason C Chang; Ahmet Zehir; Ryma Benayed; Khedouja Nafa; Pedram Razavi; David M Hyman; José Baselga; Michael F Berger; Marc Ladanyi; Maria E Arcila; Dara S Ross
Journal:  J Mol Diagn       Date:  2018-12-18       Impact factor: 5.568

3.  Utility of CD8 score by automated quantitative image analysis in head and neck squamous cell carcinoma.

Authors:  Douglas J Hartman; Fahad Ahmad; Robert L Ferris; David L Rimm; Liron Pantanowitz
Journal:  Oral Oncol       Date:  2018-10-11       Impact factor: 5.337

Review 4.  Integration of microbiology, molecular pathology, and epidemiology: a new paradigm to explore the pathogenesis of microbiome-driven neoplasms.

Authors:  Tsuyoshi Hamada; Jonathan A Nowak; Danny A Milner; Mingyang Song; Shuji Ogino
Journal:  J Pathol       Date:  2019-02-20       Impact factor: 7.996

5.  JAK2, PD-L1, and PD-L2 (9p24.1) amplification in metastatic mucosal and cutaneous melanomas with durable response to immunotherapy.

Authors:  Sounak Gupta; Chad M Vanderbilt; Paolo Cotzia; Javier A Arias Stella; Jason C Chang; Yingbei Chen; Laura H Tang; Deborah F DeLair; Jinjuan Yao; Marc Ladanyi; Dara S Ross
Journal:  Hum Pathol       Date:  2018-09-18       Impact factor: 3.466

6.  The Proteomic Effects of Pulsed Focused Ultrasound on Tumor Microenvironments of Murine Melanoma and Breast Cancer Models.

Authors:  Omer Aydin; Parwathy Chandran; Rebecca R Lorsung; Gadi Cohen; Scott R Burks; Joseph A Frank
Journal:  Ultrasound Med Biol       Date:  2019-09-14       Impact factor: 2.998

Review 7.  PD-L1 and Emerging Biomarkers in Immune Checkpoint Blockade Therapy.

Authors:  Tricia R Cottrell; Janis M Taube
Journal:  Cancer J       Date:  2018 Jan/Feb       Impact factor: 3.360

8.  TIME (Tumor Immunity in the MicroEnvironment) classification based on tumor CD274 (PD-L1) expression status and tumor-infiltrating lymphocytes in colorectal carcinomas.

Authors:  Tsuyoshi Hamada; Thing Rinda Soong; Yohei Masugi; Keisuke Kosumi; Jonathan A Nowak; Annacarolina da Silva; Xinmeng Jasmine Mu; Tyler S Twombly; Hideo Koh; Juhong Yang; Mingyang Song; Li Liu; Mancang Gu; Yan Shi; Katsuhiko Nosho; Teppei Morikawa; Kentaro Inamura; Sachet A Shukla; Catherine J Wu; Levi A Garraway; Xuehong Zhang; Kana Wu; Jeffrey A Meyerhardt; Andrew T Chan; Jonathan N Glickman; Scott J Rodig; Gordon J Freeman; Charles S Fuchs; Reiko Nishihara; Marios Giannakis; Shuji Ogino
Journal:  Oncoimmunology       Date:  2018-03-19       Impact factor: 8.110

Review 9.  The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy.

Authors:  Daniela Bruni; Helen K Angell; Jérôme Galon
Journal:  Nat Rev Cancer       Date:  2020-08-04       Impact factor: 60.716

10.  An immune-related gene signature for predicting survival and immunotherapy efficacy in hepatocellular carcinoma.

Authors:  Yifei Dai; Weijie Qiang; Kequan Lin; Yu Gui; Xun Lan; Dong Wang
Journal:  Cancer Immunol Immunother       Date:  2020-10-21       Impact factor: 6.968

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