Evidence map›Paper›PMID 32509189›Full record

ArticleAmerican journal of translational research2020

ASPM is a predictor of overall survival and has therapeutic potential in endometrial cancer.

Jing-Wei Zhou, Hui Wang, Wei Sun, Nan-Nan Han, Liang Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

13 citing papers in PubMed, 18 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

5 authors at 1 institution in 1 country.

Jing-Wei ZhouDepartment of Gynaecology, Jiangsu Province Hospital Nanjing 210000, P. R. China.
Hui WangDepartment of Gynaecology, Jiangsu Province Hospital Nanjing 210000, P. R. China.
Wei SunDepartment of Gynaecology, Jiangsu Province Hospital Nanjing 210000, P. R. China.
Nan-Nan HanDepartment of Gynaecology, Jiangsu Province Hospital Nanjing 210000, P. R. China.
Liang ChenDepartment of Gynaecology, Jiangsu Province Hospital Nanjing 210000, P. R. China.
Jiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial carcinoma (EC) is one of the most common cancers in women, and its pathogenesis is complex. Abnormal spindle microtubule assembly (ASPM) is highly expressed in a variety of cancers and is related to poor clinical prognosis and recurrence. However, the role of ASPM in EC is still unclear. Our study was conducted to investigate the association of ASPM with tumour progression and prognosis in EC.

methodsThe expression level of ASPM in EC patients was analysed by using the TCGA database and by using immunohistochemistry (IHC) to analyse EC patient samples. The relationship between ASPM expression and clinicopathological variables was analysed by the chi-square test. Survival curves were analysed by Kaplan-Meier survival analysis and log-rank test. Univariate and multivariate Cox regression analyses were performed to measure the prognosis of EC. The effects of ASPM on the proliferation, invasion and metastasis of EC cells (HEC-1A and Ishikawa) were analysed by MTT and Transwell assays. The effect of ASPM on the Wnt/β-catenin signalling pathway was detected by Western blotting.

resultsASPM was highly overexpressed in EC. Overexpression of ASPM was related to significantly worse overall survival (

conclusionsASPM acts as an independent predictor of clinical prognosis and serves as a potential target gene for EC therapy.

Indexed as

ASPMendometrial carcinomaprognosisWnt/β-catenin

Identifiers

PMID32509189
PMCPMC7270042
OpenAlexW3033274432

What OpenQuestion holds

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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.