Disulfidptosis-Associated lncRNAs are Potential Biomarkers for Predicting Immune Response and Prognosis Within Individuals Diagnosed with Hepatocellular Carcinoma

被引:1
|
作者
Wei, Qian [1 ,2 ]
Hou, Yu-Chao [3 ]
Mao, Fei-Fei [4 ]
Feng, Jin-Kai [2 ]
Wang, Xu [3 ]
Cheng, Shu-Qun [1 ,2 ,5 ]
机构
[1] Guangdong Pharmaceut Univ, Clin Med Sch 1, Guangzhou, Peoples R China
[2] Second Mil Med Univ, Eastern Hepatobiliary Surg Hosp, Dept Hepat Surg 6, Shanghai, Peoples R China
[3] Shanghai Univ Tradit Chinese Med, Yueyang Hosp Integrated Tradit Chinese & Western M, Canc Ctr, Shanghai, Peoples R China
[4] Tongji Univ, Canc Ctr, Shanghai Peoples Hosp 10, Sch Med, Shanghai, Peoples R China
[5] Guangdong Pharmaceut Univ, Clin Med Sch 1, 19 Nonglin Xia Rd, Guangzhou 510080, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
disulfidptosis; hepatocellular carcinoma; long noncoding RNA; prognosis; immune response; biological pathways; including DNA damage; epigenetic regulation; metabolic disorders; chemoresistance; immune; CELLS; CANCER; IMMUNOTHERAPY; PROGRESSION; BURDEN;
D O I
10.2147/HMER.S435726
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Purpose: Hepatocellular carcinoma (HCC) is a prevalent form of cancer that is distributed globally. Disulfidptosis, characterized by the fragility of the actin cytoskeleton, represents a distinct type of cell death and holds promise for novel cancer therapies. Nevertheless, the connection among disulfidptosis-associated long non-coding RNAs (lncRNAs) and HCC is still unexplored. This study uses an in silico approach to provide the novel biomarkers of disulfidptosis-associated lncRNAs for predicting the immune response and prognosis with HCC. Methods: In order to address this gap, we integrated transcriptomic data of HCC from The Cancer Genome Atlas (TCGA) and identified genes that exhibit differential expression with disulfidptosis and lncRNAs. Through co-expression analysis, we identified disulfidptosis-related lncRNAs. Afterwards, by employing univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO), a model for disulfidptosis-associated lncRNA was constructed. The risk model underwent assessment through the utilization of diverse analytical methodologies, including functional enrichment annotation, Kaplan-Meier analysis, principal component analysis (PCA), immune infiltration and immune status analysis, as well as tumor mutation analysis. Furthermore, we discussed the implications of the model in predicting drug sensitivity. Results: Our study culminated in the construction of a disulfidptosis-related lncRNA model comprising four prognostic disulfidptosisrelated lncRNAs (ACYTOR, NRAV, AL080248.1, and AC069307.1). This model demonstrates exceptional diagnostic value for HCC patients and holds practical implications for guiding clinicians in personalizing immunotherapy and drug selection based on individual variations. Conclusion: In summary, our research introduces a novel predictive tool utilizing disulfidptosis-related lncRNAs, offering potential guidance for the therapeutic management of HCC.
引用
收藏
页码:249 / 264
页数:16
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