Low Distribution of TIM-3+ Cytotoxic Tumor-Infiltrating Lymphocytes Predicts Poor Outcomes in Gastrointestinal Stromal Tumors
Author(s) -
Chun Zhuang,
Bo Ni,
Zizhen Zhang,
Wenyi Zhao,
Lin Tu,
Xinli Ma,
Linxi Yang,
Hui Cao,
Ming Wang
Publication year - 2021
Publication title -
journal of immunology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.315
H-Index - 83
eISSN - 2314-8861
pISSN - 2314-7156
DOI - 10.1155/2021/6647292
Subject(s) - gist , tumor infiltrating lymphocytes , stromal cell , cd8 , immune system , cytotoxic t cell , stromal tumor , immunotherapy , biomarker , cancer research , immune checkpoint , medicine , immunology , oncology , biology , in vitro , biochemistry
There are multiple tumor-infiltrating lymphocytes (TILs) and relevant immune checkpoints existing in gastrointestinal stromal tumor (GIST), which provides opportunities and rationales for developing effective immunotherapies. Recent studies have suggested that checkpoint TIM-3/Gal-9 plays a pivotal role on immune response in multiple tumors, similar to the PD-1/PD-L1, emerging as a potential therapeutic target. However, their functions in GIST are unrevealed. Hence, the expression of immune checkpoints TIM-3 and Gal-9, as well as the infiltration of CD8 + T cells and NK cells, is described in 299 cases of GIST specimens. The results showed that TIM-3 and Gal-9 are mainly expressed in TILs, rarely in tumor cells. Expression levels of TIM-3 and Gal-9 significantly differ in varying risks of GIST and exert opposite distribution trends. Indicated by prognosis analysis, high TIM-3 expression of TILs was associated with improved outcome, while low expression levels of TIM-3 in combination with low amounts of CD8 + and CD56 + TILs predict extremely poor survival. The integrated analysis of TIM-3 + , CD8 + , and CD56 + TILs as one biomarker is a reliable independent predictor of prognosis. In conclusion, low densities of TIM-3 + TILs are associated with poor survival, and integrated immune biomarkers lead to superior predictors of GIST prognosis.
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