Evidence map›Paper›PMID 38841188›Full record

ArticleFrontiers in molecular biosciences2024

Comprehensive landscape of junctional genes and their association with overall survival of patients with lung adenocarcinoma.

Bin Xie, Ting Wu, Duiguo Hong, Zhe Lu

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Cadherin 17 and digestive cancers: from diagnostic to therapeutic opportunities.Journal of experimental & clinical cancer research : CR · 2026
    Review
  2. Article
  3. Roles and regulation of δ-catenin in tumorigenesis and neuronal diseases.Frontiers in cell and developmental biology · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Bin Xie *School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
Ting Wu *School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
Duiguo HongJincheng Community Health Service Center, Hangzhou, China.
Zhe LuKey Laboratory of Aging and Cancer Biology of Zhejiang Province, Hangzhou Normal University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Junctional proteins are involved in tumorigenesis. Therefore, this study aimed to investigate the association between junctional genes and the prognosis of patients with lung adenocarcinoma (LUAD). Methods: Transcriptome, mutation, and clinical data were retrieved from The Cancer Genome Atlas (TCGA). "Limma" was used to screen differentially expressed genes. Moreover, Kaplan-Meier survival analysis was used to identify junctional genes associated with LUAD prognosis. The junctional gene-related risk score (JGRS) was generated based on multivariate Cox regression analysis. An overall survival (OS) prediction model combining the JGRS and clinicopathological properties was proposed using a nomogram and further validated in the Gene Expression Omnibus (GEO) LUAD cohort. Results: To our knowledge, this study is the first to demonstrate the correlation between the mRNA levels of 14 junctional genes ( Conclusion: The association between junctional genes and OS in patients with LUAD demonstrated by our "TCGA filtrating and GEO validating" model revealed a new function of junctional genes.

Indexed as

junctional geneslung adenocarcinomaoverall survivalprognosisrisk score

Identifiers

PMID38841188
PMCPMC11150628

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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.