Evidence map›Paper›PMID 39090162›Full record

ArticleScientific reports2024

Development of a disulfidptosis-related lncRNA prognostic signature for enhanced prognostic assessment and therapeutic strategies in lung squamous cell carcinoma.

Ankang Zhu, Yan Zong, Xingcai Gao

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ankang ZhuThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Yan ZongThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China.
Xingcai GaoThe Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, China. gxc575788@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Limited treatment options and poor prognosis present significant challenges in the treatment of lung squamous cell carcinoma (LUSC). Disulfidptosis impacts cancer progression and prognosis. We developed a prognostic signature using disulfidptosis-related long non-coding RNAs (lncRNAs) to predict the prognosis of LUSC patients. Gene expression matrices and clinical information for LUSC were downloaded from the TCGA database. Co-expression analysis identified 209 disulfidptosis-related lncRNAs. LASSO-Cox regression analysis identified nine key lncRNAs, forming the basis for establishing a prognostic model. The model's validity was confirmed by Kaplan-Meier and ROC curves. Cox regression analysis identified the risk score (RS) as an independent prognostic factor inversely correlated with overall survival. A nomogram based on the RS demonstrated good predictive performance for LUSC patient prognosis. The relationship between RS and immune function was explored using ESTIMATE, CIBERSORT, and ssGSEA algorithms. According to the TIDE database, a negative correlation was found between RS and immune therapy responsiveness. The GDSC database revealed that 49 drugs were beneficial for the low-risk group and 25 drugs for the high-risk group. Silencing C10orf55 expression in SW900 cells reduced invasiveness and migration potential. In summary, this lncRNA model based on TCGA-LUSC data effectively predicts prognosis and assists clinical decision-making.

Indexed as

Carcinoma, Squamous CellGene Expression Regulation, NeoplasticLung NeoplasmsRNA, Long NoncodingBiomarkers, TumorCell Line, TumorFemaleGene Expression ProfilingHumansKaplan-Meier EstimateMaleNomogramsPrognosisBiomarkers, TumorRNA, Long NoncodingDisulfidptosisImmunotherapyLncRNALung squamous cell carcinomaPrognostic signature

Identifiers

PMID39090162
PMCPMC11294474

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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.