Bioinformatics profiling integrating a four immune-related long non-coding RNAs signature as a prognostic model for papillary renal cell carcinoma | Zendy

Yu Liu | Zendy; Xin Gou | Zendy; Zongjie Wei | Zendy; Haitao Yu | Zendy; Xiang Zhou | Zendy; Xinyuan Li | Zendy

Open Access

Bioinformatics profiling integrating a four immune-related long non-coding RNAs signature as a prognostic model for papillary renal cell carcinoma

Author(s) -

Yu Liu,

Xin Gou,

Zongjie Wei,

Haitao Yu,

Xiang Zhou,

Xinyuan Li

Publication year - 2020

Publication title -

aging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.473

H-Index - 90

ISSN - 1945-4589

DOI - 10.18632/aging.103580

Subject(s) - papillary renal cell carcinomas , renal cell carcinoma , immune system , gene expression profiling , medicine , biology , computational biology , bioinformatics , cancer research , oncology , gene , immunology , gene expression , genetics

Papillary renal cell carcinoma (pRCC) was the 2 nd most common subtype, accounting for approximately 15% incidence of renal cell carcinoma (RCC). Immune related long non-coding RNAs (IR-lncRs) plentiful in immune cells and immune microenvironment (IME) are potential in evaluating prognosis and assessing the effects of immunotherapy. A completed and meaningful IR-lncRs analysis based on abundant pRCC gene samples from The Cancer Genome Atlas (TCGA) will provide insight in this field.

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