Evidence map›Paper›PMID 40687225›Full record

ArticleTranslational cancer research2025

Construction of a novel disulfidptosis-associated lncRNAs signature for risk features and immunotherapy in breast cancer.

Jun Zhou, Yongfei Li, Jiangtao Wang, Ming Feng, Chang Yao

Abstract read
In one paragraph

Article in Translational cancer research, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jun ZhouDepartment of Mastopathy, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Yongfei LiDepartment of Mastopathy, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Jiangtao WangDepartment of Mastopathy, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Ming FengDepartment of Mastopathy, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Chang YaoDepartment of Mastopathy, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Disulfide death (disulfidptosis) is closely associated with tumor occurrence and progression. This study seeks to investigate the clinical prognostic value of disulfidptosis-related long non-coding RNAs (lncRNAs), explore their association with the tumor microenvironment, and evaluate their capacity to predict drug sensitivity in breast cancer (BRCA) patients. Methods: From The Cancer Genome Atlas (TCGA) database, RNA sequencing expression profiles and corresponding clinical data of BRCA patients were obtained. Utilizing co-expression network analysis, univariate, least absolute shrinkage and selection operator (LASSO), as well as multivariate Cox algorithms, disulfidptosis-related lncRNA features were established. Nomogram construction and validation were employed to investigate their clinical relevance. Results: Having established a signature with eight disulfidptosis-related lncRNAs, it was found that low-risk BRCA patients exhibited significantly improved overall survival compared to high-risk counterparts. Functional enrichment analysis highlighted immune-related functions and pathways as significantly enriched in the high-risk group. Moreover, distinctions in immune cells, immune functions, and immune checkpoint genes were noted among BRCA patients at varying risk levels. The correlation between the expression of disulfidptosis-related lncRNAs and the response to chemotherapy drugs and immune therapy was evident. Conclusions: A novel prognostic model and classification for BRCA was established, which can provide robust scientific support for tailoring personalized treatment strategies for immune therapy.

Indexed as

Breast cancer (BRCA)disulfidptosislong non-coding RNA (lncRNA)prognosistumor microenvironment

Identifiers

PMID40687225
PMCPMC12268478

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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 OpenQuestion graph.