Evidence map›Paper›PMID 40917894›Full record

ArticleMolecular therapy. Nucleic acids2025

Transcriptomic analysis reveals lung cancer and subtype-specific alternative splicing biomarkers regulated by RNA-binding proteins.

Yilei Liu, Chenxi Zhang, Youqi Zheng, Shuo Jin, Jiale Niu, Zhenzhen Liu, Xiaoping Wu, Zhixing Feng, Xiaohua Hu, Huijuan Feng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular therapy. Nucleic acids, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Yilei LiuDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Chenxi ZhangDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Youqi ZhengDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Shuo JinDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Jiale NiuDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Zhenzhen LiuDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Xiaoping WuDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Zhixing FengDepartment of Clinical Genetics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
Xiaohua HuDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.
Huijuan FengDepartment of Computational Biology, School of Life Sciences, Fudan University, Shanghai 200438, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer-related death worldwide, and the complex molecular mechanisms underlying its development, particularly the role of alternative splicing (AS) in different subtypes, remain poorly understood. In this study, we performed RNA sequencing of 178 lung cancer patients and conducted a comprehensive analysis of the transcriptomic landscape with a focus on AS. We identified robust lung cancer- and subtype-specific AS biomarkers that were consistently effective in both tissue samples and cancer cell lines. Notably, several of these biomarkers also serve as critical regulators in lung cancer progression. Our regulatory network analysis, with a focus on RNA-binding proteins, revealed QKI and SR proteins as key splicing factors. Specifically, QKI was found to modulate the splicing of

Indexed as

alternative splicingbiomarkerlung cancerMT: Bioinformaticsregulation networkRNA-binding proteins

Identifiers

PMID40917894
PMCPMC12408228

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.