Literature DB >> 33624146

Identification of immune checkpoint and cytokine signatures associated with the response to immune checkpoint blockade in gastrointestinal cancers.

Chuanhua Zhao1,2, Lihong Wu3, Dandan Liang3, Huan Chen3, Shoujian Ji2, Guanxiong Zhang3, Keyan Yang3, Ying Hu4, Beibei Mao3, Tianshu Liu5, Yiyi Yu6, Henghui Zhang7, Jianming Xu8.   

Abstract

Immune checkpoint blockade (ICB) of the programmed cell death 1/programmed cell death ligand 1 (PD-1/PD-L1) immune checkpoint pathway has led to unprecedented advances in cancer therapy. However, the overall response rate of anti-PD-1/PD-L1 monotherapy is still unpromising, underscoring the need for predictive biomarkers. In this retrospective study, we collected pretreatment plasma samples from two independent cohorts of patients receiving ICB. To determine whether a signature of plasma cytokines could be associated with therapeutic efficacy, we systemically profiled cytokine clusters and functional groups in the discovery and validation datasets by using 59 multiplexed bead immunoassays and bioinformatics analysis. We first attempted to functionally classify the 59 immunological factors according to their biological classification or functional roles in the cancer-immunity cycle. Surprisingly, we observed that two signatures, the "checkpoint signature" and "trafficking of T-cell signature", were higher in the response subgroup than in the nonresponse subgroup in both the discovery and validation cohorts. Moreover, enrichment of the "checkpoint signature" was correlated with improved overall survival and progression-free survival in both datasets. In addition, we demonstrated that increased baseline levels of three checkpoint molecules (PD-L1, T-cell immunoglobulin mucin receptor 3 and T-cell-specific surface glycoprotein CD28) were common peripheral responsive correlates in both cohorts, thus rendering this "refined checkpoint signature" an ideal candidate for future verification. In the peripheral blood system, the "refined checkpoint signature" may function as a potential biomarker for anti-PD-1/PD-L1 monotherapy in gastrointestinal (GI) cancers.

Entities:  

Keywords:  Biomarker; Cytokine; Immune checkpoint blockade; Predictive biomarker; Programmed cell death ligand 1

Year:  2021        PMID: 33624146     DOI: 10.1007/s00262-021-02878-8

Source DB:  PubMed          Journal:  Cancer Immunol Immunother        ISSN: 0340-7004            Impact factor:   6.968


  20 in total

Review 1.  Primary, Adaptive, and Acquired Resistance to Cancer Immunotherapy.

Authors:  Padmanee Sharma; Siwen Hu-Lieskovan; Jennifer A Wargo; Antoni Ribas
Journal:  Cell       Date:  2017-02-09       Impact factor: 41.582

Review 2.  Defining and Understanding Adaptive Resistance in Cancer Immunotherapy.

Authors:  Tae Kon Kim; Roy S Herbst; Lieping Chen
Journal:  Trends Immunol       Date:  2018-05-22       Impact factor: 16.687

Review 3.  The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy.

Authors:  Jonathan J Havel; Diego Chowell; Timothy A Chan
Journal:  Nat Rev Cancer       Date:  2019-03       Impact factor: 60.716

4.  Serum cytokine levels as predictive biomarkers of benefit from ipilimumab in small cell lung cancer.

Authors:  Max Hardy-Werbin; Pedro Rocha; Oriol Arpi; Álvaro Taus; Lara Nonell; Xavier Durán; Xavier Villanueva; Deborah Joseph-Pietras; Luke Nolan; Sarah Danson; Richard Griffiths; Miguel Lopez-Botet; Ana Rovira; Joan Albanell; Christian Ottensmeier; Edurne Arriola
Journal:  Oncoimmunology       Date:  2019-03-27       Impact factor: 8.110

Review 5.  Cytokine patterns in patients with cancer: a systematic review.

Authors:  Bodo E Lippitz
Journal:  Lancet Oncol       Date:  2013-05       Impact factor: 41.316

6.  Pan-tumor genomic biomarkers for PD-1 checkpoint blockade-based immunotherapy.

Authors:  Razvan Cristescu; Robin Mogg; Mark Ayers; Andrew Albright; Erin Murphy; Jennifer Yearley; Xinwei Sher; Xiao Qiao Liu; Hongchao Lu; Michael Nebozhyn; Chunsheng Zhang; Jared K Lunceford; Andrew Joe; Jonathan Cheng; Andrea L Webber; Nageatte Ibrahim; Elizabeth R Plimack; Patrick A Ott; Tanguy Y Seiwert; Antoni Ribas; Terrill K McClanahan; Joanne E Tomassini; Andrey Loboda; David Kaufman
Journal:  Science       Date:  2018-10-12       Impact factor: 47.728

Review 7.  Clinical Benefit from Ipilimumab Therapy in Melanoma Patients may be Associated with Serum CTLA4 Levels.

Authors:  Anna M Leung; Agnes Fermin Lee; Junko Ozao-Choy; Romela Irene Ramos; Omid Hamid; Steven J O'Day; Myung Shin-Sim; Donald L Morton; Mark B Faries; Peter A Sieling; Delphine J Lee
Journal:  Front Oncol       Date:  2014-05-16       Impact factor: 6.244

8.  Serum levels of soluble programmed death ligand 1 predict treatment response and progression free survival in multiple myeloma.

Authors:  Liang Wang; Hua Wang; Hao Chen; Wei-da Wang; Xiao-Qin Chen; Qi-Rong Geng; Zhong-Jun Xia; Yue Lu
Journal:  Oncotarget       Date:  2015-12-01

9.  A dormant TIL phenotype defines non-small cell lung carcinomas sensitive to immune checkpoint blockers.

Authors:  S N Gettinger; J Choi; N Mani; M F Sanmamed; I Datar; Ryan Sowell; Victor Y Du; E Kaftan; S Goldberg; W Dong; D Zelterman; K Politi; P Kavathas; S Kaech; X Yu; H Zhao; J Schlessinger; R Lifton; D L Rimm; L Chen; R S Herbst; K A Schalper
Journal:  Nat Commun       Date:  2018-08-10       Impact factor: 14.919

10.  Serological Markers Associated With Response to Immune Checkpoint Blockade in Metastatic Gastrointestinal Tract Cancer.

Authors:  Zhihao Lu; Jianling Zou; Ying Hu; Shuang Li; Tao Zhou; Jifang Gong; Jian Li; Xiaotian Zhang; Jun Zhou; Ming Lu; Xicheng Wang; Zhi Peng; Changsong Qi; Yanyan Li; Jie Li; Yan Li; Jianyin Zou; Xiao Du; Henghui Zhang; Lin Shen
Journal:  JAMA Netw Open       Date:  2019-07-03
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  1 in total

1.  Soluble Immune-Related Proteins as New Candidate Serum Biomarkers for the Diagnosis and Progression of Lymphangioleiomyomatosis.

Authors:  Xuefei Liu; Yanping Xu; Xueying Wu; Yanpu Liu; Qiang Wu; Jialiang Wu; Henghui Zhang; Min Zhou; Jieming Qu
Journal:  Front Immunol       Date:  2022-03-01       Impact factor: 7.561

  1 in total

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