header

Prognostic Implication of a Novel Four Pyroptosis-Associated Gene Signature in Hepatocellular Carcinoma

26 Pages Posted: 30 Jul 2022 Publication Status: Preprint

See all articles by Zhen Xu

Zhen Xu

Jinan University - Medical Imaging Center

Xiang-Ran Cai

Jinan University - Medical Imaging Center

Jinshao Ye

Jinan University

Abstract

Background: Liver carcinoma is the fourth most common cause of tumor-associated death worldwide. Our study is mainly aimed to explore whether the pyroptosis-associated gene signature can be an independent predicative factor for the prognosis of HCC patients.

Methods: The expression profiles of HCC patients extracted from The Cancer Genome ATLAS (TCGA) and International Cancer Genome Consortium (ICGC) public database were used to discover the probable predicative gene for the prognosis. The least absolute shrinkage selection operator (LASSO) COX regression was utilized to construct a novel four pyroptosis-gene model.

Results: The novel pyroptosis-associated gene model was successfully developed according to the optimum λ value. The model had a good predicative value and was validated by a test group from ICGC database.

Conclusions: Novel pyroptosis-associated gene model can be served as an independent predicative factor for prognosis of HCC patients. Furthermore, pyroptosis-associated genes may play a significant role in tumor progression and immunotherapy.

Funding Information: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of Interests: All authors have completed the ICMJE uniform disclosure form. The authors have no conflicts of interest to declare.

Keywords: pyroptosis-associated gene, Hepatocellular carcinoma (HCC), Prognostic, TCGA, ICGC, risk model

undefined

Suggested Citation

Xu, Zhen and Cai, Xiang-Ran and Ye, Jinshao, Prognostic Implication of a Novel Four Pyroptosis-Associated Gene Signature in Hepatocellular Carcinoma. Available at SSRN: https://ssrn.com/abstract=4176716 or http://dx.doi.org/10.2139/ssrn.4176716

Zhen Xu

Jinan University - Medical Imaging Center ( email )

Xiang-Ran Cai (Contact Author)

Jinan University - Medical Imaging Center ( email )

Jinshao Ye

Jinan University ( email )

Huang Pu Da Dao Xi 601, Tian He District
Guangzhou, 510632
China

0 References

    0 Citations

      Do you have a job opening that you would like to promote on SSRN?

      Paper statistics

      Downloads
      26
      Abstract Views
      180
      PlumX Metrics