Evidence map›Paper›PMID 40594054›Full record

ArticleScientific reports2025

Low expression of SGCA promotes lung squamous cell carcinoma malignant progression.

Guojie Chen, Guangyao Mao, Xinyu Zong, Xiao Chen, Guo Ting, Mei Lin

Abstract read
In one paragraph

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Guojie Chen *Medical School of Nantong University, Nantong, 226001, Jiangsu, China.
Guangyao Mao *Clinical Laboratory, Affiliated Taizhou People's Hospital of Nanjing Medical University, 399 Hailing South Road, Taizhou, 225300, Jiangsu, China.
Xinyu ZongNanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China.
Xiao ChenMedical School of Nantong University, Nantong, 226001, Jiangsu, China.
Guo TingClinical Laboratory, Affiliated Taizhou People's Hospital of Nanjing Medical University, 399 Hailing South Road, Taizhou, 225300, Jiangsu, China. wangjunguoting2008@163.com.
Mei LinClinical Laboratory, Affiliated Taizhou People's Hospital of Nanjing Medical University, 399 Hailing South Road, Taizhou, 225300, Jiangsu, China. trylm@ntu.edu.cn.

Funding

The 333 Plan Foundation of Jiangsu [2022] 21-2
6 · The paper itself

Abstract

Lung squamous cell carcinoma (LUSC) is a common type of non-small-cell lung cancer with high mortality, lacks effective diagnostic indicators and therapeutic targets. This study aims to reveal that low expression of Alpha-Sarcoglycan (SGCA) promotes LUSC progression and to provide a biomarker for its diagnosis, prognosis evaluation, and targeted therapy. TCGA data and 70 clinical LUSC patients were analyzed. In vitro, H520 and H1703 cells with overexpressed SGCA were transfected with pc-SGCA plasmids, and their proliferation, apoptosis, and invasion were examined. In vivo, a subcutaneous tumorigenic mouse model was constructed. SGCA was significant in diagnosing LUSC and negatively correlated with T stage. Low SGCA expression enhanced proliferation, invasion, and migration, and inhibited apoptosis. Overexpression of SGCA inhibited tumor growth in mice. Low expression of SGCA is closely associated with LUSC progression, making it a potential prognostic factor and therapeutic target for LUSC.

Indexed as

Carcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsAnimalsApoptosisBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMiddle AgedBiomarkers, TumorAlpha-sarcoglycanClinicalDiagnosisLung squamous cell carcinomaPrognosis

Identifiers

PMID40594054
PMCPMC12217716

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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.