A prognostic aging-related lncRNA risk model correlates with the immune microenvironment in HCC-Reference-Cited by-同舟云学术

A prognostic aging-related lncRNA risk model correlates with the immune microenvironment in HCC

Published:2024-06-15 Issue:2 Volume:3 Page:37-48
ISSN:2972-3388
Container-title:Cancer Insight
language:en
Short-container-title:CI

Author:

Mei Kun,Chen Zilu,Wang Qin,Ali Akbar,Huang Yan,Yi Luo

Abstract

Background: Hepatocellular carcinoma (HCC) stands out as one of the most lethal cancers globally, given its complexity, recurrence following surgical resection, metastatic potential, and inherent heterogeneity. In recent years, researchers have systematically elucidated the significance of long non-coding RNA (lncRNA) in the initiation and progression of HCC. The introduction of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases has significantly enhanced the prognostic assessment of HCC. However, the association between HCC and cell senescence has been infrequently explored in the literature. Method: We downloaded liver hepatocellular carcinoma (LIHC)-related messenger RNA and lncRNA expression levels from TCGA. Correlation analysis, Cox regression, and least absolute shrinkage and selection operator (LASSO) regression analysis were employed to validate the lncRNA risk model associated with cellular aging. Comparing the infiltration of diverse immune cells enabled the identification of distinct differences in the immunological microenvironments of the two risk groups. Subsequently, we conducted a real-time polymerase chain reaction (qPCR) experiment to confirm the accuracy of the selected lncRNAs. Results: A predictive framework for HCC was constructed based on the expression levels of five lncRNAs. Multivariate and univariate Cox regression analyses revealed that lncRNA signatures associated with senescence were independently correlated with an increased risk of HCC. Additionally, the nomogram also provides a more refined and sensitive model. Further investigation into the variations in immune cells and functions between the high-risk and low-risk groups was conducted. Subsequently, a qPCR experiment results revealed underexpression of AC068756.1, AC090578.1, AC145343.1, and LINC0022 in Huh7 and LM3 cells. In contrast, AP003392.4 did not exhibit a significant difference between Huh7 and control cells. Conclusion: The prognostic features and nomogram, consisting of five aging-related lncRNAs (AC068756.1, AC090578.1, AC145343.1, AP003392.4, and LINC00221), may be useful in predicting the overall survival of HCC.

Publisher

Anser Press Pte. Ltd.

Link

https://www.anserpress.org/journal/ci/3/2/35/pdf

Reference30 articles.

1. Sung, H., et al., Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin, 2021. 71(3): p. 209-249. https://doi.org/10.3322/caac.21660

2. Wang, Z., et al., Microwave ablation versus laparoscopic resection as first-line therapy for solitary 3-5-cm HCC. Hepatology, 2022. 76(1): p. 66-77. https://doi.org/10.1002/hep.32323

3. Benson, A.B., et al., Hepatobiliary Cancers, Version 2.2021, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw, 2021. 19(5): p. 541-565. https://doi.org/10.6004/jnccn.2021.0022

4. Hao, K., et al., Expression and prognostic signatures of m6A-related lncRNAs in hepatocellular carcinoma. J Cancer Res Clin Oncol, 2022. https://doi.org/10.1007/s00432-022-04338-x

5. Seo, E., et al., Reactive oxygen species-induced changes in glucose and lipid metabolism contribute to the accumulation of cholesterol in the liver during aging. Aging Cell, 2019. 18(2): p. e12895. https://doi.org/10.1111/acel.12895