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作者

Shuaishuai Wang, Yi Zhang

作者单位

Affiliations ¹ Department of Respiratory and Critical Care Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China. wss19931212@16 com. ² Department of Orthopedic, Jinan Third People's Hospital, Jinan, Shandong, China.

刊名

BMC medical genomics

年份

2024

卷号

Vol.17 No.1

页码

277

ISSN

1755-8794

关键词

Immunogenic cell death LncRNA Lung adenocarcinoma Prognosis Signature.

摘要

Background: Lung adenocarcinoma is one of the most common malignant diseases worldwide. This study aimed to construct an immunogenic cell death -related long non-coding RNA signature to effectively predict the prognosis of LUAD. Methods: The RNA-sequencing and clinical data of LUAD were downloaded from The Cancer Genome Atlas . Least absolute shrinkage and selection operator and stepwise multivariate Cox proportional hazard regression analysis were utilized to construct lncRNA signature. Then...更多

Background: Lung adenocarcinoma is one of the most common malignant diseases worldwide. This study aimed to construct an immunogenic cell death -related long non-coding RNA signature to effectively predict the prognosis of LUAD. Methods: The RNA-sequencing and clinical data of LUAD were downloaded from The Cancer Genome Atlas . Least absolute shrinkage and selection operator and stepwise multivariate Cox proportional hazard regression analysis were utilized to construct lncRNA signature. Then, the reliability of the signature was evaluated in the training, validation and whole cohorts. The differences in the immune landscape and drug sensitivity between the low- and high-risk groups were analyzed. Finally, the expression level of the selected ICD-related lncRNAs in LUAD cell lines via reverse transcription quantitative PCR . CCK-8 and transwell assays were performed to study biological function of AC245014.3. Results: A signature consisting of 5 ICD-related lncRNAs was constructed. Kaplan Meier survival analysis showed shorter overall survival in high-risk group. The receiver operating characteristic curves and Multivariate Cox regression analysis showed the signature was good predictive and independent prognostic factor in LUAD. Moreover, the high-risk group had a lower level of antitumor immunity and was less sensitive to some chemotherapeutics and targeted drugs. Finally, the expression level of selected ICD-related lncRNAs was validated in LUAD cell lines by RT-qPCR. Knockdown of AC245014.3 significantly suppressed LUAD proliferation, migration and invasion. Conclusions: In this study, an ICD-related lncRNA signature was constructed, which could accurately predict the prognosis of LUAD patients and guide clinical treatment.收起

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