Literature DB >> 29518351

Genotypic and phenotypic signatures to predict immune checkpoint blockade therapy response in patients with colorectal cancer.

Xianda Zhao1, Audre May1, Emil Lou2, Subbaya Subramanian3.   

Abstract

Immune checkpoint blockade therapy (ICBT) has resulted in extended overall survival for some patients with certain types of cancer, most prominently including colorectal cancer (CRC) associated with microsatellite instability (MSI). However, most patients with CRC whose phenotypes have microsatellite stability (MSS) are unresponsive to ICBT. In efforts to understand the responsiveness of CRC tumors to ICBT, genotypic and phenotypic signatures of CRC tumors are now being investigated. The MSI and MSS classification has been clinically validated as helpful in predicting response vs nonresponse to ICBT in patients with CRC. Other potential predictive markers include mutational and neoantigen loads, T-cell receptor diversity, and the immune score system, all of which have mechanistic connections to ICBT response. These novel predictive signatures could provide unprecedented insights into patients with CRC associated with MSS. Clinical trials or prospective cohort studies using standardized methodologies for biomarker quantification should be illuminating. Further validation of these novel predictive signatures will be essential to tailoring treatment of patients whose CRC is most likely to respond to ICBT.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29518351      PMCID: PMC5949270          DOI: 10.1016/j.trsl.2018.02.001

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  78 in total

1.  Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma.

Authors:  Timothy A Chan; Jedd D Wolchok; Alexandra Snyder
Journal:  N Engl J Med       Date:  2015-11-12       Impact factor: 91.245

2.  Molecular basis of T cell inactivation by CTLA-4.

Authors:  K M Lee; E Chuang; M Griffin; R Khattri; D K Hong; W Zhang; D Straus; L E Samelson; C B Thompson; J A Bluestone
Journal:  Science       Date:  1998-12-18       Impact factor: 47.728

3.  Reversal of the TCR stop signal by CTLA-4.

Authors:  Helga Schneider; Jos Downey; Andrew Smith; Bernd H Zinselmeyer; Catherine Rush; James M Brewer; Bin Wei; Nancy Hogg; Paul Garside; Christopher E Rudd
Journal:  Science       Date:  2006-08-24       Impact factor: 47.728

Review 4.  The chromosomal instability pathway in colon cancer.

Authors:  Maria S Pino; Daniel C Chung
Journal:  Gastroenterology       Date:  2010-06       Impact factor: 22.682

5.  Expression of the PD-1 antigen on the surface of stimulated mouse T and B lymphocytes.

Authors:  Y Agata; A Kawasaki; H Nishimura; Y Ishida; T Tsubata; H Yagita; T Honjo
Journal:  Int Immunol       Date:  1996-05       Impact factor: 4.823

6.  Evolution of Neoantigen Landscape during Immune Checkpoint Blockade in Non-Small Cell Lung Cancer.

Authors:  Valsamo Anagnostou; Kellie N Smith; Patrick M Forde; Noushin Niknafs; Rohit Bhattacharya; James White; Theresa Zhang; Vilmos Adleff; Jillian Phallen; Neha Wali; Carolyn Hruban; Violeta B Guthrie; Kristen Rodgers; Jarushka Naidoo; Hyunseok Kang; William Sharfman; Christos Georgiades; Franco Verde; Peter Illei; Qing Kay Li; Edward Gabrielson; Malcolm V Brock; Cynthia A Zahnow; Stephen B Baylin; Robert B Scharpf; Julie R Brahmer; Rachel Karchin; Drew M Pardoll; Victor E Velculescu
Journal:  Cancer Discov       Date:  2016-12-28       Impact factor: 39.397

7.  Reduced frequencies and suppressive function of CD4+CD25hi regulatory T cells in patients with chronic lymphocytic leukemia after therapy with fludarabine.

Authors:  Marc Beyer; Matthias Kochanek; Kamruz Darabi; Alexey Popov; Markus Jensen; Elmar Endl; Percy A Knolle; Roman K Thomas; Michael von Bergwelt-Baildon; Svenja Debey; Michael Hallek; Joachim L Schultze
Journal:  Blood       Date:  2005-05-24       Impact factor: 22.113

8.  Microsatellite instable vs stable colon carcinomas: analysis of tumour heterogeneity, inflammation and angiogenesis.

Authors:  L De Smedt; J Lemahieu; S Palmans; O Govaere; T Tousseyn; E Van Cutsem; H Prenen; S Tejpar; M Spaepen; G Matthijs; C Decaestecker; X Moles Lopez; P Demetter; I Salmon; X Sagaert
Journal:  Br J Cancer       Date:  2015-06-11       Impact factor: 7.640

9.  Interactions between PD-1 and PD-L1 promote tolerance by blocking the TCR-induced stop signal.

Authors:  Brian T Fife; Kristen E Pauken; Todd N Eagar; Takashi Obu; Jenny Wu; Qizhi Tang; Miyuki Azuma; Matthew F Krummel; Jeffrey A Bluestone
Journal:  Nat Immunol       Date:  2009-09-27       Impact factor: 25.606

Review 10.  CD28 and CTLA-4 coreceptor expression and signal transduction.

Authors:  Christopher E Rudd; Alison Taylor; Helga Schneider
Journal:  Immunol Rev       Date:  2009-05       Impact factor: 12.988

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  1 in total

1.  TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images.

Authors:  Yasin Ceran; Hamza Ergüder; Katherine Ladner; Sophie Korenfeld; Karina Deniz; Sanyukta Padmanabhan; Phillip Wong; Murat Baday; Thomas Pengo; Emil Lou; Chirag B Patel
Journal:  Cancers (Basel)       Date:  2022-10-10       Impact factor: 6.575

  1 in total

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