Evidence map›Paper›PMID 39692950›Full record

ArticleDiscover oncology2024

Mitochondrial-related drug resistance lncRNAs as prognostic biomarkers in laryngeal squamous cell carcinoma.

Zhimin Wu, Yi Chen, Dizhi Jiang, Yipeng Pan, Tuoxian Tang, Yifei Ma, Tiannake Shapaer

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhimin Wu *Department of Otorhinolaryngology Head and Neck Surgery, The Maternal and Child Health Care Hospital of Guizhou Medical University, Guiyang, 550000, Guizhou, China.
Yi Chen *Department of Breast and Thyroid Surgery, the Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang Uygur Autonomous Region, China.
Dizhi Jiang *Department of Radiation Oncology, Cheeloo College of Medicine, Qilu Hospital of Shandong University, Shandong University, Jinan, 250012, Shandong, China.
Yipeng PanDepartment of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310020, Zhejiang, China.
Tuoxian TangDepartment of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Yifei MaDepartment of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, 550003, Guizhou, China. 84309348@qq.com.
Tiannake ShapaerDepartment of Gastrointestinal Surgery, the Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, 830011, Xinjiang Uygur Autonomous Region, China. tiannakecsu@outlook.com.

Funding

2022 Doctoral Research Launch Fund of Guizhou Medical University Affiliated Hospital gyfybsky-2022-17Clinical Research Project of Guizhou Medical University Affiliated Hospital 2021-GMHCT-013Guizhou Provincial Basic Research Program (Natural Science) QKHJC-ZK[2022]YB434National Natural Science Foundation of China 822611031Project of Guizhou Provincial Health Commission gzwkj2021-328
6 · The paper itself

Abstract

Laryngeal squamous cell carcinoma (LSCC) is a common malignant tumor of the head and neck that significantly impacts patients' quality of life, with chemotherapy resistance notably affecting prognosis. This study aims to identify prognostic biomarkers to optimize treatment strategies for LSCC. Using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), combined with mitochondrial gene database analysis, we identified mitochondrial lncRNAs associated with drug resistance genes. Key long non-coding RNAs (lncRNAs) were selected through univariate Cox regression and Lasso regression, and a multivariate Cox regression model was constructed to predict prognosis. We further analyzed the differences in immune function and biological pathway enrichment between high- and low-risk groups, developed a nomogram, and compared drug sensitivity. Results showed that the prognostic model based on seven mitochondrial lncRNAs could serve as an independent prognostic factor, with Area Under the Curve (AUC) values of 0.746, 0.827, and 0.771 at 1, 3, and 5 years, respectively, outperforming some existing models, demonstrating high predictive performance. Significant differences were observed in immune function and drug sensitivity between the high- and low-risk groups. The risk prediction model incorporating seven drug resistance-related mitochondrial lncRNAs can accurately and independently predict the prognosis of LSCC patients.

Indexed as

Chemotherapy resistanceImmune responseLaryngeal squamous cell carcinomaMitochondria-associated lncRNAsPrognostic model

Identifiers

PMID39692950
PMCPMC11655928

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.