Cited by 167Cancer Immunotherapy and BiomarkersT-cell and B-cell ImmunologyFerroptosis and cancer prognosis

Assessment of the expression of the immune checkpoint molecules PD‐1, CTLA4, TIM‐3 and LAG‐3 across different cancers in relation to treatment response, tumor‐infiltrating immune cells and survival

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Tu, Lei, Guan, Renguo, Yang, Hanting, Zhou, Yu, Hong, Weifeng, Ma, Liheng, Zhao, Guangzhe, Yu, Min·2020·International Journal of Cancer

Abstract

Immune checkpoint molecules have been identified as crucial regulators of the immune response, which motivated the emergence of immune checkpoint‐targeting therapeutic strategies. However, the prognostic significance of the immune checkpoint molecules PD‐1, CTLA4, TIM‐3 and LAG‐3 remains controversial. The aim of our study was to conduct a systematic assessment of the expression of these immune checkpoint molecules across different cancers in relation to treatment response, tumor‐infiltrating immune cells and survival. Oncomine and PrognoScan database analyses were used to investigate the expression levels and prognostic values of these immune checkpoint molecule genes across various cancers. Then, we used Kaplan–Meier plotter to validate the associations between the checkpoint molecules and cancer survival identified in the PrognoScan analysis. TIMER analysis was used to evaluate immune cell infiltration data from The Cancer Genome Atlas. Finally, we used Gene Expression Profiling Interactive Analysis to investigate the prognostic value of these four checkpoint molecules and assess the correlations between these four checkpoint molecules and genetic markers. These immune checkpoint molecules may potentially serve as prognostic factors and therapeutic targets in breast cancer, ovarian cancer and lung cancer. The prognostic roles of these checkpoint molecules varied greatly across cancers, which implied a noteworthy amount of heterogeneity among tumors, even within the same molecular subtype. In addition, the expression patterns of these checkpoint molecules were closely associated with treatment response and provided some useful direction when choosing chemotherapeutic drugs. These findings enhance our understanding of these checkpoints in cancer treatment and identify strategies to promote synergistic activities in the context of other immunotherapies.

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Crossref · 10.1002/ijc.32785

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  • No significant differences in the expression of LAG-3 and TIM-3 were observed between TGCTs, ovarian cancer, and their corresponding normal adjacent tissues.

    “However, no significant differences in the expression of LAG-3 and TIM-3 were observed between TGCTs, ovarian cancer, and their corresponding normal adjacent tissues [61].”

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Authors
Tu, L., Guan, R., Yang, H., Zhou, Y., Hong, W., Ma, L., Zhao, G., & Yu, M.
Affiliations
  • Guangdong Academy of Medical Sciences (CN)
  • Beijing University of Civil Engineering and Architecture (CN)
  • First Affiliated Hospital of Guangdong Pharmaceutical University (CN)
Corresponding author
Yu, Min
Venue
International Journal of Cancer
Publisher
Wiley
Published
2019-12-02
Volume
147
Issue
2
Pages
423-439
ISSN
  • 0020-7136 (ISSN-L)
  • 1097-0215
OpenAlex
W2986360475
Cited by
167
References
2
Citations by year
2026: 13 · 2025: 18 · 2024: 20 · 2023: 36 · 2022: 39 · 2021: 31 · 2020: 10
FWCI
8.36
Type
journal article
Language
en
Open access
Locations
  • International Journal of Cancer (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (81701560)
  • Natural Science Foundation of Guangdong Province (2017A030313530, 2014A030310073)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Ferroptosis and cancer prognosis
Keywords
immune checkpoint molecules, PD-1, CTLA-4, TIM-3, LAG-3, cancer prognosis, treatment response, tumor-infiltrating immune cells, cancer survival, breast cancer, ovarian cancer, lung cancer, immune checkpoint inhibitors
MeSH terms
Hepatitis A Virus Cellular Receptor 2, Lymphocyte Activation Gene 3 Protein, Female, Humans, Male, Neoplasms, Prognosis, Antigens, CD, Gene Expression Regulation, Neoplastic, Survival Analysis, Lymphocytes, Tumor-Infiltrating, Treatment Outcome, Sequence Analysis, RNA, Gene Expression Profiling, Databases, Genetic, CTLA-4 Antigen, Programmed Cell Death 1 Receptor

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