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Dataset Information

Identification of Potential Biomarkers for Cancer Cachexia and Anti-Fn14 Therapy.


ABSTRACT:

Background

Developing therapies for cancer cachexia has not been successful to date, in part due to the challenges of achieving robust quantitative measures as a readout of patient treatment. Hence, identifying biomarkers to assess the outcomes of treatments for cancer cachexia is of great interest and important for accelerating future clinical trials.

Methods

We established a novel xenograft model for cancer cachexia with a cachectic human PC3* cell line, which was responsive to anti-Fn14 mAb treatment. Using RNA-seq and secretomic analysis, genes differentially expressed in cachectic and non-cachectic tumors were identified and validated by digital droplet PCR (ddPCR). Correlation analysis was performed to investigate their impact on survival in cancer patients.

Results

SUBMITTER: Cao Z 

PROVIDER: S-EPMC9688504 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature