Literature DB >> 29501787

Genomics and emerging biomarkers for immunotherapy of colorectal cancer.

Jakob Nikolas Kather1, Niels Halama2, Dirk Jaeger3.   

Abstract

Colorectal cancer (CRC) is a common and lethal disease with a high therapeutic need. For most patients with metastatic CRC, chemotherapy is the only viable option. Currently, immunotherapy is restricted to the particular genetic subgroup of mismatch-repair deficient (MMRd)/microsatellite instable (MSI) CRC. Anti-PD1 therapy was recently FDA-approved as a second-line treatment in this subgroup. However, in a metastatic setting, these MMRd/MSI tumors are vastly outnumbered by mismatch-repair proficient (MMRp)/microsatellite stable (MSS) tumors. These MMRp/MSS tumors do not meaningfully respond to any traditional immunotherapy approach including checkpoint blockade, adoptive cell transfer and vaccination. This resistance to immunotherapy is due to a complex tumor microenvironment that counteracts antitumor immunity through a combination of poorly antigenic tumor cells and an immunosuppressive tumor microenvironment. To find ways of overcoming immunotherapy resistance in the majority of CRC patients, it is necessary to analyze the immunological makeup in an in-depth and personalized way and in the context of their tumor genetic makeup. Flexible, biomarker-guided early-phase immunotherapy trials are needed to optimize this workflow. In this review, we detail key mechanisms for immune evasion and emerging immune biomarkers for personalized immunotherapy in CRC. Also, we present a template for biomarker-guided clinical trials that are needed to move new immunotherapy approaches closer to clinical application.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Biomarker; Clinical trials; Colorectal cancer; Genomics; Immunotherapy; Personalized medicine; Tumor microenvironment

Mesh:

Substances:

Year:  2018        PMID: 29501787     DOI: 10.1016/j.semcancer.2018.02.010

Source DB:  PubMed          Journal:  Semin Cancer Biol        ISSN: 1044-579X            Impact factor:   15.707


  43 in total

1.  Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.

Authors:  Amelie Echle; Heike Irmgard Grabsch; Philip Quirke; Piet A van den Brandt; Nicholas P West; Gordon G A Hutchins; Lara R Heij; Xiuxiang Tan; Susan D Richman; Jeremias Krause; Elizabeth Alwers; Josien Jenniskens; Kelly Offermans; Richard Gray; Hermann Brenner; Jenny Chang-Claude; Christian Trautwein; Alexander T Pearson; Peter Boor; Tom Luedde; Nadine Therese Gaisa; Michael Hoffmeister; Jakob Nikolas Kather
Journal:  Gastroenterology       Date:  2020-06-17       Impact factor: 22.682

2.  Metformin attenuates PD-L1 expression through activating Hippo signaling pathway in colorectal cancer cells.

Authors:  Jun-Jie Zhang; Qiu-Shi Zhang; Zi-Qian Li; Jia-Wang Zhou; Jun Du
Journal:  Am J Transl Res       Date:  2019-11-15       Impact factor: 4.060

3.  Nuclear translocation of Gasdermin D sensitizes colorectal cancer to chemotherapy in a pyroptosis-independent manner.

Authors:  Xiao Peng; Risi Na; Wenting Zhou; Xiaole Meng; Yunhai Yang; Shohreh Amini; Liwei Song
Journal:  Oncogene       Date:  2022-10-16       Impact factor: 8.756

4.  Antiangiogenic immunotherapy suppresses desmoplastic and chemoresistant intestinal tumors in mice.

Authors:  Simone Ragusa; Borja Prat-Luri; Alejandra González-Loyola; Sina Nassiri; Mario Leonardo Squadrito; Alan Guichard; Sabrina Cavin; Nikolce Gjorevski; David Barras; Giancarlo Marra; Matthias P Lutolf; Jean Perentes; Emily Corse; Roberta Bianchi; Laureline Wetterwald; Jaeryung Kim; Guillermo Oliver; Mauro Delorenzi; Michele De Palma; Tatiana V Petrova
Journal:  J Clin Invest       Date:  2020-03-02       Impact factor: 14.808

Review 5.  Perspectives on Treatment of Metastatic Colorectal Cancer with Immune Checkpoint Inhibitor Therapy.

Authors:  Michael A Morse; Howard Hochster; Al Benson
Journal:  Oncologist       Date:  2019-08-05

6.  Macrophage-derived CCL5 facilitates immune escape of colorectal cancer cells via the p65/STAT3-CSN5-PD-L1 pathway.

Authors:  Chao Liu; Zhaoying Yao; Jianing Wang; Wen Zhang; Yan Yang; Yan Zhang; Xinliang Qu; Yubing Zhu; Jianjun Zou; Sishi Peng; Yan Zhao; Shuli Zhao; Bangshun He; Qiongyu Mi; Xiuting Liu; Xu Zhang; Qianming Du
Journal:  Cell Death Differ       Date:  2019-12-04       Impact factor: 15.828

7.  Pan-cancer image-based detection of clinically actionable genetic alterations.

Authors:  Alexander T Pearson; Tom Luedde; Jakob Nikolas Kather; Lara R Heij; Heike I Grabsch; Chiara Loeffler; Amelie Echle; Hannah Sophie Muti; Jeremias Krause; Jan M Niehues; Kai A J Sommer; Peter Bankhead; Loes F S Kooreman; Jefree J Schulte; Nicole A Cipriani; Roman D Buelow; Peter Boor; Nadi-Na Ortiz-Brüchle; Andrew M Hanby; Valerie Speirs; Sara Kochanny; Akash Patnaik; Andrew Srisuwananukorn; Hermann Brenner; Michael Hoffmeister; Piet A van den Brandt; Dirk Jäger; Christian Trautwein
Journal:  Nat Cancer       Date:  2020-07-27

Review 8.  Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.

Authors:  Antonio Jesús Banegas-Luna; Jorge Peña-García; Adrian Iftene; Fiorella Guadagni; Patrizia Ferroni; Noemi Scarpato; Fabio Massimo Zanzotto; Andrés Bueno-Crespo; Horacio Pérez-Sánchez
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

9.  An immune-related model based on INHBA, JAG2 and CCL19 to predict the prognoses of colon cancer patients.

Authors:  Xuankun Yang; Jia Yan; Yahui Jiang; Yaxu Wang
Journal:  Cancer Cell Int       Date:  2021-06-08       Impact factor: 5.722

10.  The underlying molecular mechanisms and prognostic factors of RNA binding protein in colorectal cancer: a study based on multiple online databases.

Authors:  Qinglian He; Ziqi Li; Xue Lei; Qian Zou; Haibing Yu; Yuanlin Ding; Guangxian Xu; Wei Zhu
Journal:  Cancer Cell Int       Date:  2021-06-30       Impact factor: 5.722

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