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Research Paper|Volume 16, Issue 11|pp 9386—9409

LASSO regression and WGCNA-based telomerase-associated lncRNA signaling predicts clear cell renal cell carcinoma prognosis and immunotherapy response

Cheng Shen1,2, Kaiyao Jiang1,2, Wei Zhang1, Baohui Su1,2, Zhenyu Wang1, Xinfeng Chen1, Bing Zheng1, Tao He3
  • 1Department of Urology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
  • 2Medical Research Center, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
  • 3Party Committe and Hospital Administration Office, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
* Equal contribution
Received: January 8, 2024Accepted: April 16, 2024Published: May 30, 2024
https://doi.org/10.18632/aging.205871

Copyright: © 2024 Shen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Objective: To investigate whether telomerase-associated lncRNA expression affects the prognosis and anti-tumor immunity of patients with renal clear cell carcinoma (ccRCC).

Methods: A series of analyses were performed to establish a prognostic risk model and validate its accuracy. Immune-related analyses were performed to assess further the association between immune status, tumor microenvironment, and prognostic risk models.

Results: Eight telomerase-associated lncRNAs associated with prognosis were identified and applied to establish a prognostic risk model. Overall survival was higher in the low-risk group.

Conclusion: The established prognostic risk model has a good predictive ability for the prognosis of ccRCC patients and provides a new possible therapeutic target for ccRCC.