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Dataset Information

Leveraging diverse cell-death related signature predicts the prognosis and immunotherapy response in renal clear cell carcinoma.


ABSTRACT:

Background

Modulation of programmed cell death in tumor cells alters the tumor microenvironment and the influx of tumor-infiltrating lymphocytes, and the combination of its inducers and immune checkpoint inhibitors plays a synergistic role in enhancing antitumor effects.

Methods

We downloaded the data of clear cell renal cell carcinoma samples from The Cancer Genome Atlas and used a machine learning approach to build a new programmed cell death index (PCDI) through 13 programmed cell death-related genes. Based on PCDI, clinical features, tumor immune microenvironment, chemotherapy response and immunotherapy response were systematically analyzed.

Results

PCDI consists of eight programmed cell death-related genes (TBX3, BID, TCIRG1, IDUA, KDR, PYCARD, IFNG and LRRK2). P

SUBMITTER: Wu Z 

PROVIDER: S-EPMC10749459 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature