Evidence map›Paper›PMID 34900024›Full record

ArticleDisease markers2021

Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining.

Pan Wang, Wei-Sheng Xiao, Yue-Hua Li, Xiao-Ping Wu, Hong-Bo Zhu, Ye-Ru Tan

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Pan WangDepartment of Medical Oncology, The First Affiliated Hospital of Hengyang Medical School of University of South China, Hengyang, Hunan, China.
Wei-Sheng XiaoDepartment of Gastroenterology, The First Affiliated Hospital of Hengyang Medical School of University of South China, Hengyang, Hunan, China.
Yue-Hua LiDepartment of Medical Oncology, The First Affiliated Hospital of Hengyang Medical School of University of South China, Hengyang, Hunan, China.
Xiao-Ping WuDepartment of Medical Oncology, The First Affiliated Hospital of Hengyang Medical School of University of South China, Hengyang, Hunan, China.
Hong-Bo ZhuDepartment of Medical Oncology, The First Affiliated Hospital of Hengyang Medical School of University of South China, Hengyang, Hunan, China.
Ye-Ru TanDepartment of Medical Oncology, The First Affiliated Hospital of Hengyang Medical School of University of South China, Hengyang, Hunan, China.ORCID https://orcid.org/0000-0003-2720-4348
University of South China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is still a vital malignant cancer across the world with unsatisfactory prognostic results. Matrilin-3 (MATN3) is a member of the extracellular matrix (ECM) protein family. The present research intends to explore the expression level of MATN3 in patients with GC and to explore the prognosis significance of MATN3. In this study, we observed that the MATN3 expression was remarkably upregulated in GC samples in contrast to noncancer samples. Clinical analyses unveiled that high MATN3 expression was related to age, tumor status, and clinical stages. Survival analyses unveiled that patients with high MATN3 expression displayed a poorer overall survival and progression-free survival than those with low MATN3 expression. The AUC of the relevant ROC curve for 1 year, 3 years, and 5 years of survival is 0.571, 0.596, and 0.720, separately. Multivariate assays revealed that MATN3 expression and stage were independent predictors of poor prognosis of GC patients. A meta-analysis unveiled that high MATN3 expression was tightly associated with better overall survival. Overall, our data indicated that MATN3 may have a diagnostic and prognostic value for patients with advanced gastric cancer and assist to improve clinical outcomes for GC patients.

Indexed as

Databases, GeneticData MiningBiomarkers, TumorFemaleHumansKaplan-Meier EstimateMaleMatrilin ProteinsMiddle AgedPrognosisStomach NeoplasmsBiomarkers, TumorMATN3 protein, humanMatrilin Proteins

Identifiers

PMID34900024
PMCPMC8660198
OpenAlexW3214793125

What OpenQuestion holds

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LicenceCC BY
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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.