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Autor(en) / Beteiligte
Titel
TIM-3 as a Prognostic Marker and a Potential Immunotherapy Target in Human Malignant Tumors: A Meta-Analysis and Bioinformatics Validation
Ist Teil von
  • Frontiers in oncology, 2021-02, Vol.11, p.579351-579351
Ort / Verlag
Switzerland: Frontiers Media S.A
Erscheinungsjahr
2021
Quelle
Free E-Journal (出版社公開部分のみ)
Beschreibungen/Notizen
  • As a novel immune checkpoint molecular, T-cell immunoglobulin mucin 3 (TIM-3) is emerging as a therapeutic target for cancer immunotherapy. However, the predictive role of TIM-3 in cancer remains largely undetermined. This study was designed to investigate the role of TIM-3 in cancer. Publications were searched using multiple databases. The hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated. To further confirm the prognostic effect of TIM-3, The Cancer Genome Atlas (TCGA) data were applied. Functional analysis of TIM-3 was also investigated. 28 studies with 7284 patients with malignant tumors were identified. Based on multivariate Cox regression analysis, TIM-3 was an independent prognostic indicator for poor overall survival (OS) (HR= 1.54, 95% CI = 1.19-1.98, = 0.001). However, TIM-3 was not correlated with cancer-specific survival and disease-free survival (DFS). Particularly, TIM-3 showed a worse prognosis in non-small cell lung carcinoma and gastric cancer; but it showed a favorable prognosis in breast cancer. Functional analysis showed that TIM-3 was closely correlated with immune responses such as T-cell activation and natural killer cell-mediated cytotoxicity. Moreover, TIM-3 expression was found to be related to worse OS in 9491 TCGA patients (HR = 1.2, < 0.001), but was not associated with DFS. TIM-3 was an independent prognostic factor. Meanwhile, TIM-3 played a crucial role in tumor immune responses. This supports TIM-3 as a promising target for cancer immunotherapy.
Sprache
Englisch
Identifikatoren
ISSN: 2234-943X
eISSN: 2234-943X
DOI: 10.3389/fonc.2021.579351
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_1a66bcbe8d3d40fda8910b0c73e3f349

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