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Pan-cancer analyses reveal IGSF10 as an immunological and prognostic biomarker.
Zhou, Yongxia; Gao, Manzhi; Jing, Yaoyao; Wang, Xiaofang.
Afiliação
  • Zhou Y; Department of Hematology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China.
  • Gao M; Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China.
  • Jing Y; Tianjin's Clinical Research Center for Cancer, Tianjin, China.
  • Wang X; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
Front Genet ; 13: 1032382, 2022.
Article em En | MEDLINE | ID: mdl-36685968
ABSTRACT

Background:

IGSF10 is a member of the immunoglobulin superfamily. Over the previous decade, growing proof has validated definitive correlations between individuals of the immunoglobulin superfamily and human diseases. However, the function of IGSF10 in pan-cancer stays unclear. We aimed to analyze the immunological and prognostic value of IGSF10 in pan-cancer.

Methods:

We utilized a vary of bioinformatic ways to inspect the function of IGSF10 in pan-cancer, including its correlation with prognosis, immune cell infiltration, tumor mutational burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), DNA methyltransferases, genetic alteration, drug sensitivity, etc.

Results:

We noticed low expression of IGSF10 in most cancer types. IGSF10 expression in tumor samples correlates with prognosis in most cancers. In most cancer types, IGSF10 expression was strongly related to immune cells infiltration, immune checkpoints, immune modulators, TMB, MSI, MMR, and DNA methyltransferases, among others. Functional enrichment analyses indicated that IGSF10 expression was involved in lymphocyte differentiation, cell molecules adhesion, etc. Furthermore, low IGSF10 expression could increase the drug sensitivity of many drugs.

Conclusion:

IGSF10 could serve as a novel prognostic marker and attainable immunotherapy target for several malignancies.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article