Literature DB >> 33519815

Immune Checkpoint Molecules-Inherited Variations as Markers for Cancer Risk.

Marta Wagner1, Monika Jasek1, Lidia Karabon1.   

Abstract

In recent years, immunotherapy has been revolutionized by a new approach that works by blocking receptors called immune checkpoints (IC). These molecules play a key role in maintaining immune homeostasis, mainly by suppressing the immune response and by preventing its overactivation. Since inhibition of the immune response by IC can be used by cancer to avoid recognition and destruction by immune system, blocking them enhances the anti-tumor response. This therapeutic approach has brought spectacular clinical effects. The ICs present heterogeneous expression patterns on immune cells, which may affect the effectiveness of immunotherapy. The inherited genetic variants in regulatory regions of ICs genes can be considered as potential factors responsible for observed inter-individual differences in ICs expression levels on immune cells. Additionally, polymorphism located in exons may introduce changes to ICs amino acid sequences with potential impact on functional properties of these molecules. Since genetic variants may affect both expression and structure of ICs, they are considered as risk factors of cancer development. Inherited genetic markers such as SNPs may also be useful in stratification patients into groups which will benefit from particular immunotherapy. In this review, we have comprehensively summarized the current understanding of the relationship between inherited variations of CTLA-4, PDCD1, PD-L1, BTLA, TIM-3, and LAG-3 genes in order to select SNPs which can be used as predictive biomarkers in personalized evaluation of cancer risk development and outcomes as well as possible response to immunotherapy.
Copyright © 2021 Wagner, Jasek and Karabon.

Entities:  

Keywords:  BTLA; CTLA-4; LAG-3; PD-1/PD-L1; TIM-3; cancer risk; immune checkpoint molecules; polymorphisms

Mesh:

Substances:

Year:  2021        PMID: 33519815      PMCID: PMC7840570          DOI: 10.3389/fimmu.2020.606721

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


  232 in total

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Journal:  Hum Immunol       Date:  2009-11-12       Impact factor: 2.850

2.  CTLA-4 gene expression is influenced by promoter and exon 1 polymorphisms.

Authors:  A Ligers; N Teleshova; T Masterman; W X Huang; J Hillert
Journal:  Genes Immun       Date:  2001-05       Impact factor: 2.676

3.  The functional cytotoxic T lymphocyte-associated Protein 4 49G-to-A genetic variant and risk of pancreatic cancer.

Authors:  Ming Yang; Tong Sun; Yifeng Zhou; Li Wang; Li Liu; Xiaojiao Zhang; Xiaohu Tang; Mo Zhou; Pengqun Kuang; Wen Tan; Hui Li; Qipeng Yuan; Dianke Yu
Journal:  Cancer       Date:  2012-02-22       Impact factor: 6.860

4.  Cytotoxic T-lymphocyte antigen-4 (CTLA-4) gene polymorphism and susceptibility to non-Hodgkin's lymphoma.

Authors:  Maria Monne; Giovanna Piras; Angelo Palmas; Luigi Arru; Marco Murineddu; Giancarlo Latte; Annalisa Noli; Attilio Gabbas
Journal:  Am J Hematol       Date:  2004-05       Impact factor: 10.047

5.  Functional genetic variations in cytotoxic T-lymphocyte antigen 4 and susceptibility to multiple types of cancer.

Authors:  Tong Sun; Yifeng Zhou; Ming Yang; Zhibin Hu; Wen Tan; Xiaohong Han; Yuankai Shi; Jiarui Yao; Yongli Guo; Dianke Yu; Tian Tian; Xiaoyi Zhou; Hongbing Shen; Dongxin Lin
Journal:  Cancer Res       Date:  2008-09-01       Impact factor: 12.701

6.  FOXP3 controls regulatory T cell function through cooperation with NFAT.

Authors:  Yongqing Wu; Madhuri Borde; Vigo Heissmeyer; Markus Feuerer; Ariya D Lapan; James C Stroud; Darren L Bates; Liang Guo; Aidong Han; Steven F Ziegler; Diane Mathis; Christophe Benoist; Lin Chen; Anjana Rao
Journal:  Cell       Date:  2006-07-28       Impact factor: 41.582

7.  Lack of association between cytotoxic T-lymphocyte antigen 4 (CTLA-4) -1722T/C (rs733618) polymorphism and cancer risk: from a case-control study to a meta-analysis.

Authors:  Weifeng Tang; Hao Qiu; Heping Jiang; Bin Sun; Lixin Wang; Jun Yin; Haiyong Gu
Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

8.  Polymorphisms in TIM-3 and breast cancer susceptibility in Chinese women: A case-control study.

Authors:  Zheng Wang; Xinghan Liu; Xijing Wang; Tie Chong; Shuai Lin; Meng Wang; Xiaobin Ma; Kang Liu; Peng Xu; Yanjing Feng; Zhijun Dai
Journal:  Oncotarget       Date:  2016-07-12

9.  Changes in the process of alternative RNA splicing results in soluble B and T lymphocyte attenuator with biological and clinical implications in critical illness.

Authors:  Sean F Monaghan; Debasree Banerjee; Chun-Shiang Chung; Joanne Lomas-Neira; Kamil J Cygan; Christy L Rhine; William G Fairbrother; Daithi S Heffernan; Mitchell M Levy; William G Cioffi; Alfred Ayala
Journal:  Mol Med       Date:  2018-06-18       Impact factor: 6.354

10.  PD-1 gene rs10204525 and rs7421861 polymorphisms are associated with increased risk and clinical features of esophageal cancer in a Chinese Han population.

Authors:  Bao Zang; Chen Chen; Jian-Qiang Zhao
Journal:  Aging (Albany NY)       Date:  2020-02-21       Impact factor: 5.682

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1.  The Landscape of Clinical Implementation of Pharmacogenetic Testing in Central China: A Single-Center Study.

Authors:  Jingmin Zhang; Guangzhao Qi; Chao Han; Yubing Zhou; Yongjie Yang; Xinru Wang; Suna Liu; Xiaojian Zhang
Journal:  Pharmgenomics Pers Med       Date:  2021-12-14

Review 2.  Insights into the post-translational modification and its emerging role in shaping the tumor microenvironment.

Authors:  Wen Li; Feifei Li; Xia Zhang; Hui-Kuan Lin; Chuan Xu
Journal:  Signal Transduct Target Ther       Date:  2021-12-20

3.  Severe Immune-Related Adverse Events in Patients Treated with Nivolumab for Metastatic Renal Cell Carcinoma Are Associated with PDCD1 Polymorphism.

Authors:  Mizuki Kobayashi; Kazuyuki Numakura; Shingo Hatakeyama; Yumina Muto; Yuya Sekine; Hajime Sasagawa; Soki Kashima; Ryohei Yamamoto; Atsushi Koizumi; Taketoshi Nara; Mitsuru Saito; Shintaro Narita; Chikara Ohyama; Tomonori Habuchi
Journal:  Genes (Basel)       Date:  2022-07-05       Impact factor: 4.141

4.  A 13-gene signature to predict the prognosis and immunotherapy responses of lung squamous cell carcinoma.

Authors:  Qin Yang; Han Gong; Jing Liu; Mao Ye; Wen Zou; Hui Li
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

Review 5.  A brief glimpse of a tangled web in a small world: Tumor microenvironment.

Authors:  Iman M Talaat; Byoungkwon Kim
Journal:  Front Med (Lausanne)       Date:  2022-08-15

Review 6.  'Know thyself' - host factors influencing cancer response to immune checkpoint inhibitors.

Authors:  Ashray Gunjur; Andrea J Manrique-Rincón; Oliver Klein; Andreas Behren; Trevor D Lawley; Sarah J Welsh; David J Adams
Journal:  J Pathol       Date:  2022-05-20       Impact factor: 9.883

7.  PDCD1 Polymorphisms May Predict Response to Anti-PD-1 Blockade in Patients With Metastatic Melanoma.

Authors:  Sagun Parakh; Ashan Musafer; Sabrina Paessler; Tom Witkowski; Connie S N Li Wai Suen; Candani S A Tutuka; Matteo S Carlino; Alexander M Menzies; Richard A Scolyer; Jonathan Cebon; Alexander Dobrovic; Georgina V Long; Oliver Klein; Andreas Behren
Journal:  Front Immunol       Date:  2021-06-09       Impact factor: 7.561

  7 in total

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