Evidence map›Paper›PMID 27563252›Full record

ArticleOncoTargets and therapy2016

Clinical implications of transforming growth factor-beta-induced gene-h3 protein expression in lung cancer.

Changjun He, Dawei Sun, Xue Bai, Yingbin Li, Hai Xu, Shidong Xu

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2016. 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, top 94% of its field
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, 0 citations in OpenAlex.

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 at 2 institutions in 1 country.

Changjun HeDepartment of Thoracic Surgery, Cancer Hospital of the Harbin Medical University.
Dawei SunDepartment of Thoracic Surgery, Cancer Hospital of the Harbin Medical University.
Xue BaiDepartment of Thoracic Surgery, Cancer Hospital of the Harbin Medical University.
Yingbin LiDepartment of Pain Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Hai XuDepartment of Thoracic Surgery, Cancer Hospital of the Harbin Medical University.
Shidong XuDepartment of Thoracic Surgery, Cancer Hospital of the Harbin Medical University.
Third Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe clinical implications of transforming growth factor-beta-induced gene-h3 (beta-IGH3) protein expression in lung cancer remain unclear. This study investigated beta-IGH3 protein expression levels and biological function, as well as lung cancer prognosis.

methodsBeta-IGH3 protein expression levels were measured in 236 lung cancers and were matched with adjacent noncancerous tissues by immunohistochemical staining. Subsequently, the relationship between beta-IGH3 protein expression, clinical-pathological parameters, and lung cancer prognosis was evaluated.

resultsBeta-IGH3 protein expression was significantly higher in lung cancer tissues compared with adjacent noncancerous tissues (61.86% vs 22.88%; P=0.01). Of the 236 enrolled cases, 146 (61.86%) showed high beta-IGH3 levels. Tumor size, clinical stage, and lymph node metastasis were significantly related to beta-IGH3 protein expression in univariate analysis (P=0.001, 0.044, and 0.029, respectively), whereas age, sex, and histological type were not (P=0.038, 0.756, and 0.889, respectively). Finally, a Cox regression model also identified beta-IGH3 as an independent prognostic factor (P=0.01).

conclusionBeta-IGH3 is highly expressed in lung cancers and may be a potential target for lung cancer treatments.

Indexed as

beta-IGH3 proteinlung cancerlymph nodemetastasisprognosis

Identifiers

PMID27563252
PMCPMC4986675
OpenAlexW2513571120

What OpenQuestion holds

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LicenceCC BY-NC
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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.