Evidence map›Paper›PMID 26261611›Full record

ArticleInternational journal of clinical and experimental pathology2015

Prognostic correlation between MTA2 expression level and colorectal cancer.

Weijun Ding, Wei Hu, Haihua Yang, Ting Ying, Ye Tian

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

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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

5 authors.

Weijun DingDepartment of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China ; Department of Radiotherapy and Oncology, The Affiliated Taizhou Hospital of Wenzhou Medical University Taizhou 317000, China.
Wei HuDepartment of Radiotherapy and Oncology, The Affiliated Taizhou Hospital of Wenzhou Medical University Taizhou 317000, China.
Haihua YangDepartment of Radiotherapy and Oncology, The Affiliated Taizhou Hospital of Wenzhou Medical University Taizhou 317000, China.
Ting YingDepartment of Radiotherapy and Oncology, The Affiliated Taizhou Hospital of Wenzhou Medical University Taizhou 317000, China.
Ye TianDepartment of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University Suzhou 215004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAssociation of MTA2 expression with presence, development, metastasis and prognosis of colorectal cancer (CRC) was investigated.

methods90 CRC-related cases with follow-up information were made into tissue microarrays according to the paired principle of cancer tissues and the adjacent tissues. Subsequently, the expression of MAT2 was detected with immunohistochemical analysis and SPSS software was finally utilized to analyze the relationships between experimental data and clinical indicatives.

resultsExpression of MTA2 in CRC tissues were notably higher than their adjacent tissues (P < 0.001) and showed significant positive correlation with tumor grade (r(2) > 0, P < 0.01). Moreover, survival analysis indicated that MTA2 expression in cancer tissues, serving as an independent correlation factor, was significantly correlated with poor prognosis (P = 0.004).

conclusionsMTA2 is a crucial biomarker that is closely related with prognosis of CRC and also a potential molecular target for evaluating the prognosis and treatment of CRC.

Indexed as

AgedBiomarkers, TumorColorectal NeoplasmsFemaleHistone DeacetylasesHumansImmunohistochemistryKaplan-Meier EstimateMaleMiddle AgedNeoplasm GradingPredictive Value of TestsProportional Hazards ModelsRepressor ProteinsRisk FactorsTime FactorsBiomarkers, TumorHistone DeacetylasesMTA2 protein, humanRepressor ProteinsbiomarkerCRCimmunohistochemistryMAT2prognosistissue microarray

Identifiers

PMID26261611
PMCPMC4525945

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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.