Evidence map›Paper›PMID 40530159›Full record

ArticleTranslational cancer research2025

Qi You, Tao Huang, Zhijie He, Xinlu Tao, Yan Zhang, Haotian Zhang, Shaojin Zhu

Abstract read
In one paragraph

Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  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

7 authors.

Qi You *Department of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Tao Huang *Department of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Zhijie HeDepartment of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Xinlu TaoDepartment of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Yan ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Haotian ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Shaojin ZhuDepartment of Thoracic Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma (LUAD) is a prevalent malignancy characterized by low survival rates and poor prognosis. Gap junction beta-2 protein ( Methods: Differentially expressed genes (DEGs) related to CSC properties were analyzed using the Gene Expression Omnibus (GEO) and Gene Expression Profiling Interactive Analysis 2 (GEPIA 2) databases. Protein expression was assessed via western blotting, and gene expression was quantitative real-time polymerase chain reaction (qRT-PCR) in LUAD cell lines. Loss-of-function experiments were performed to evaluate the impact of Results: GJB2 was associated with the CSC properties in LUAD, with its expression upregulated in LUAD cell lines. GJB2 downregulation impaired proliferation, reduced migration, and induced apoptosis in A549 and H1299 cells. Mechanistically, Conclusions:

Indexed as

cancer stem cells (CSCs)Gap junction beta-2 protein (GJB2)lung adenocarcinoma (LUAD)nuclear factor kappa-B (NF-kB)SOX2

Identifiers

PMID40530159
PMCPMC12169982

What OpenQuestion holds

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Registered trials

None linked

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.