Evidence map›Paper›PMID 40072763›Full record

ArticleDiscover oncology2025

Analysis of expression characteristics of ferroptosis-related lncRNAs in gastrointestinal cancer patients in Asia.

Ning Ding, Ying Kang, Xiaoxiao Tan, Yanbo Tang, Yingjie Zhang, Yongheng He

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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Ning DingSchool of Biomedical Sciences, Hunan University, No. 100, Fubu River Road, Yuelu District, Changsha, 410082, Hunan, People's Republic of China.
Ying KangSchool of Biomedical Sciences, Hunan University, No. 100, Fubu River Road, Yuelu District, Changsha, 410082, Hunan, People's Republic of China.
Xiaoxiao TanSchool of Biomedical Sciences, Hunan University, No. 100, Fubu River Road, Yuelu District, Changsha, 410082, Hunan, People's Republic of China.
Yanbo TangDepartment of Anorectal Surgery, The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 58 Lushan Rd., Yuelu District, Changsha, 410006, Hunan, People's Republic of China.
Yingjie ZhangSchool of Biomedical Sciences, Hunan University, No. 100, Fubu River Road, Yuelu District, Changsha, 410082, Hunan, People's Republic of China. yingjiezhang@hnu.edu.cn.
Yongheng HeDepartment of Anorectal Surgery, The Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 58 Lushan Rd., Yuelu District, Changsha, 410006, Hunan, People's Republic of China. 2320990685@qq.com.

Funding

National Funded Postdoctoral Researcher Program GZC20230773National Natural Science Foundation of China 82374462
6 · The paper itself

Abstract

backgroundAsian cancer patients have become the highest morbidity and mortality group, and gastrointestinal tumors account for the majority of them, so it is urgent to find effective targets. Therefore, ferroptosis-related lncRNAs models were established to predict the prognosis and clinical immune characteristics of GI cancer.

methodsRNA sequencing and clinical data were collected from the TCGA database (LIHC, STAD, ESCA, PAAD, COAD, CHOL, and READ) of patients with gastrointestinal cancer in Asia. Download ferrodroptosis genes from FerrDb. Through R language, differential genes were identified, prognostic related LncRNAs were screened, and risk scores were obtained by risk formula to build models. Survival analysis, risk heat map, COX regression and ROC were used to evaluate the risk model. Establish Nomogram and clinically relevant heat maps. GSEA software was used to analyze gene enrichment and immune-related characteristics in high and low risk groups. LncRNA expression was validated through paired sample differential analysis and qRT-PCR, and the drug sensitivity of genes was also analyzed.

resultsThe transcriptome data of 297 cases and clinical data of 322 cases were downloaded from TCGA, and the intersection of ferroptosis-related genes were obtaine. Cox analysis revealed 48 ferroptosis-related LncRNAs associated with prognosis. Through survival analysis, risk heatmap, COX regression and ROC, it was found that the risk model was highly accurate and efficient in predicting prognosis. KEGG-related GSEA enrichment analysis showed that 12 related pathways were significantly expressed in the low-risk group. Four immune-related functions were significantly higher in the high-risk group than in the low-risk group, and the expression of all immune checkpoints were significantly higher in the high-risk group than in the low-risk group. The three LncRNAs in the model exhibited varying expression levels across different tumors and obtained drug sensitivity data.

conclusionsOur results reveal innovative and strong evidence that ferroptosis-related lncRNAs can be used as biomarkers for the treatment and prognosis of Asian GI cancer.

Indexed as

Asian patientsFerroptosisGastrointestinal cancerImmuneLncRNAsQRT-PCR

Identifiers

PMID40072763
PMCPMC11904047

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.