Evidence map›Paper›PMID 22814259›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2012

[Correlation of aquaporin 3 expression with the clinicopathologic characteristics of non-small cell lung cancer].

Bailing Li, Lei Jin, Keng Zhong, Dahai Du

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Anti‑angiogenic effect ofInternational journal of oncology · 2025
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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

4 authors at 1 institution in 1 country.

Bailing LiDepartment of Cardiothoracic Surgery, Changhai Hospital, the Second Military Medical University, Shanghai, China.
Lei Jin
Keng Zhong
Dahai Du
Changhai Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is a major health problem worldwide. The aim of this study is to investigate aquaporin 3 (AQP3) expression and its relationship with the clinicopathologic characteristics of non-small cell lung cancer (NSCLC).

methodsAQP3 expression and the microvascular density (MVD) of tissue samples from 180 cases with NSCLC were detected by immunohistochemistry.

resultsAQP3 expression was negative in 25 (13.9%), positive in 67 (37.2%), and strongly positive in 88 (48.9%) of the 180 cases, which was significantly higher than that in the normal tissue (P<0.01). A significant correlation was found between AQP3 expression and MVD (P<0.01), whereas a high MVD was found among patients with strongly positive AQP3 expression. Male patients with positive or strongly positive AQP3 expression had significantly higher expression than female patients did (P=0.003). AQP3 expression was more significantly enhanced in adenocarcinoma than that in squamous cell carcinoma (P<0.001). Statistical analysis indicated that the positive rate of AQP3 expression in well-differentiated carcinoma was significantly higher than that in poorly differentiated tumors (P<0.001). Lymph node metastasis was positively correlated with high AQP3 expression (P=0.026).

conclusionsAQP3 expression was closely correlated with MVD in NSCLC, whereas high MVD was frequently found in tumors with high AQP3 expression. AQP3, as a therapeutic target for inhibiting high AQP3 expression in NSCLC tissues, may weaken cancer cell proliferation, invasion, and metastasis.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAquaporin 3Carcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMicrovesselsMiddle AgedAquaporin 3

Identifiers

PMID22814259
PMCPMC6000074
OpenAlexW1500976912

What OpenQuestion holds

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LicenceCC BY
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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.