Evidence map›Paper›PMID 40234833›Full record

ArticleBMC cancer2025

A model of basement membrane-related regulators for prediction of prognoses in esophageal cancer and verification in vitro.

Lang Xu, Bingna Wang, Chen Wang, Nan Mao, Yating Huang, Xihua Fu, Tao Feng, Qiming He, Yang Zhang, Guoxing You and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

13 authors.

Lang Xu *The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China.
Bingna Wang *The Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China.
Chen WangThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China.
Nan MaoThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China.
Yating HuangThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China.
Xihua FuThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China.
Tao FengSchool of Pharmacy, Guangdong Medical University, Dongguan, 523808, China.
Qiming HeSchool of Pharmacy, Guangdong Medical University, Dongguan, 523808, China.
Yang ZhangThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China.
Guoxing YouSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China.
Xiaojun MaSchool of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, 510006, China.
Xinsheng PengSchool of Pharmacy, Guangdong Medical University, Dongguan, 523808, China. xspeng@gdmu.edu.cn.
Jianfen SuThe Affiliated Panyu Central Hospital, Guangzhou Medical University, Guangzhou, 511400, China. sujianfen@pyhospital.com.cn.

Funding

Guangdong Basic and Applied Basic Research Fund Enterprise Joint Fund 2023A1515220024Guangdong Hospital Pharmaceutical Research Fund project funding 2024A31Medical Research Foundation of Guangdong Province 2024070Research Funds from Guangzhou Panyu Central Hospital PY-2023-007, PY-2023-010, PY-2023-026the Graduate Education Innovation Program of Guangdong Provincial Department of Education 2023ANLK_046
6 · The paper itself

Abstract

Emerging evidence suggests the importance of basement membrane components in cancer metastasis; however, their specific roles in esophageal carcinoma remain underexplored. To investigate this, we analyzed 152 esophageal cancer and 11 normal esophageal tissue samples, identifying basement membrane-related prognostic signatures through differential gene expression profiling and Least Absolute Shrinkage and Selection Operator regression. A six-gene panel (LAMC2, GPC2, AGRN, ITGA3, LAMA3, and LOXL4) demonstrated robust predictive capacity, which we subsequently integrated with clinical features via nomogram modeling to predict overall survival. Our computational analyses revealed distinct tumor microenvironment immune cell profiles and chemotherapeutic drug sensitivities across risk strata. We performed an immunohistochemical assay to confirm increased tumor tissue expression, thereby reinforcing the clinical relevance of these biomarkers. Experimental validation using KYSE-150 esophageal squamous carcinoma cells demonstrated that while LAMC2 knockdown attenuated cellular migration, AGRN, GPC2, ITGA3, LAMA3, and LOXL4 suppression enhanced migratory capacity. Proliferation assays further revealed increased growth rates upon GPC2, ITGA3, and LAMA3 expression inhibition. Our results established a basement membrane-derived risk model for esophageal carcinoma and revealed the roles of the model genes in tumor progression regulation. This model advances prognostic stratification and provides insights into therapeutic targets.

Indexed as

Basement MembraneBiomarkers, TumorEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaAgedAmino Acid OxidoreductasesCell Line, TumorCell MovementCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansIntegrin alpha3LamininMaleAmino Acid OxidoreductasesBiomarkers, TumorIntegrin alpha3LAMC2 protein, humanLamininLOXL4 protein, humanProtein-Lysine 6-OxidaseBasement membraneCell migrationEsophageal cancerGene knock-downPrognostic gene markers

Identifiers

PMID40234833
PMCPMC11998150

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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 OpenQuestion graph.