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Research Domains Biomedical and Clinical Sciences Oncology and Carcinogenesis Predictive and prognostic markers
Research Domains
Biomedical and Clinical Sciences
Oncology and Carcinogenesis
Predictive and prognostic markers
LASSO regression and WGCNA-based telomerase-associated lncRNA signaling predicts clear cell renal cell carcinoma prognosis and immunotherapy response

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

Cheng Shen ^1,2, Kaiyao Jiang ^1,2, Wei Zhang ¹, Baohui Su ^1,2, Zhenyu Wang ¹, Xinfeng Chen ¹, Bing Zheng ¹, Tao He ³

Cheng Shen ^1,2, Kaiyao Jiang ^1,2, Wei Zhang ¹

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.

⁰Department of Urology, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China.

Aging +

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May 31, 2024

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May 31, 2024

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View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies eight telomerase-associated long non-coding RNAs (lncRNAs) to predict prognosis in renal clear cell carcinoma (ccRCC). A low-risk group showed improved overall survival, suggesting a new therapeutic target.

Area Of Science

Oncology
Molecular Biology
Genetics

Background

Renal clear cell carcinoma (ccRCC) is the most common subtype of kidney cancer.
Identifying reliable prognostic markers is crucial for effective patient management and treatment strategies.
Telomerase-associated long non-coding RNAs (lncRNAs) are increasingly recognized for their roles in cancer development and progression.

Purpose Of The Study

To investigate the impact of telomerase-associated lncRNA expression on the prognosis of ccRCC patients.
To establish and validate a prognostic risk model based on these lncRNAs.
To explore the association between the prognostic risk model and anti-tumor immunity in ccRCC.

Main Methods

Bioinformatic analyses were conducted to identify prognostic telomerase-associated lncRNAs.
A risk prediction model was constructed using the identified lncRNAs.
Immune-related analyses were performed to assess the correlation between immune status, tumor microenvironment, and the risk model.

Main Results

Eight telomerase-associated lncRNAs significantly associated with prognosis were identified.
A prognostic risk model was successfully established and validated.
Patients in the low-risk group demonstrated significantly higher overall survival rates compared to the high-risk group.

Conclusions

The developed prognostic risk model accurately predicts the prognosis of ccRCC patients.
Telomerase-associated lncRNAs represent potential therapeutic targets for ccRCC.
This model may aid in personalized treatment strategies for ccRCC.

Keywords:

immune infiltration renal clear cell carcinoma signature telomerase genes (TRs)

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lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

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