Open Access Journal Article

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

by Kun Mei a,1 Zilu Chen b,1 Qin Wang c Akbar Ali d Yan Huang e,* orcid  and  Luo Yi f, g,*
Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
Center for Molecular Imaging and Nuclear Medicine, Soochow University, School of Radiological & Interdisciplinary Sciences, Soochow University (RAD-X), Suzhou, China
Nanjing University of Chinese Medicine, Nanjing 210023, China
Nishtar Medial College, Multan, Pakistan
Department of Ultrasound, Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing 210001, China
Department of Oncology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing 210028, China
Department of Oncology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
Author to whom correspondence should be addressed.
CI  2024, 35; 3(2), 35;
Received: 28 October 2023 / Accepted: 27 December 2023 / Published Online: 9 January 2024


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.

Copyright: © 2024 by Mei, Chen, Wang, Ali, Huang and Yi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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National Natural Science Foundation of China (81773947) , Foundation for The Top Talent Program of Jiangsu Commission of Health’s “Six-One Project” for High Level Personnels (LGY2020003)

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ACS Style
Mei, K.; Chen, Z.; Wang, Q.; Ali, A.; Huang, Y.; Yi, L. A prognostic aging-related lncRNA risk model correlates with the immune microenvironment in HCC. Cancer Insight, 2024, 3, 35.
AMA Style
Mei K, Chen Z, Wang Q, Ali A, Huang Y, Yi L. A prognostic aging-related lncRNA risk model correlates with the immune microenvironment in HCC. Cancer Insight; 2024, 3(2):35.
Chicago/Turabian Style
Mei, Kun; Chen, Zilu; Wang, Qin; Ali, Akbar; Huang, Yan; Yi, Luo 2024. "A prognostic aging-related lncRNA risk model correlates with the immune microenvironment in HCC" Cancer Insight 3, no.2:35.
APA style
Mei, K., Chen, Z., Wang, Q., Ali, A., Huang, Y., & Yi, L. (2024). A prognostic aging-related lncRNA risk model correlates with the immune microenvironment in HCC. Cancer Insight, 3(2), 35.

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