Comprehensive characterization of TGFB1 across hematological malignancies

Author:

Wang Cui-zhu,Zhang Zi-qi,Zhang Yan,Zheng Liang-feng,Liu Yang,Yan Ai-ting,Zhang Yuan-cui,Chang Qing-hua,Sha Suo,Xu Zi-jun

Abstract

AbstractTGFB1, which encodes TGF-β1, a potent cytokine regulating varies cellular processes including immune responses. TGF-β1 plays context-dependent roles in cancers and is increasingly recognized as a therapeutic target to enhance immunotherapy responses. We comprehensively evaluated expression of TGFB1 and its clinical and biological effects across hematological malignancies. TGFB1 expression was first explored using data from the GTEx, CCLE, and TCGA databases. The expression and clinical significances of TGFB1 in hematological malignancies were analyzed using Hemap and our In Silico curated datasets. We also analyzed the relationship between TGFB1 with immune scores and immune cell infiltrations in Hemap. We further assessed the value of TGFB1 in predicting immunotherapy response using TIDE and real-world immunotherapy datasets. TGFB1 showed a hematologic-tissue-specific expression pattern both across normal tissues and cancer types. TGFB1 expression were broadly dysregulated in blood cancers and generally associated with adverse prognosis. TGFB1 expression were associated with distinct TME properties among different blood cancer types. In addition, TGFB1 expression was found to be a useful marker in predicting immunotherapy responses. Our results suggest that TGFB1 is broadly dysregulated in hematological malignancies. TGFB1 might regulate the immune microenvironment in a cancer-type-specific manner, which could be applied in the development of new targeted drugs for immunotherapy.

Funder

Project of Affiliated Haian Hospital of Nantong University

Scientific Research Project of Nantong Commission of Health

Social Development Foundation of Zhenjiang

Medical Education Collaborative Innovation Fund of Jiangsu University

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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