Evidence map›Paper›PMID 24966915›Full record

ArticleInternational journal of clinical and experimental pathology2014

Rictor is an independent prognostic factor for endometrial carcinoma.

Shan-Yun Wen, Chang-Hua Li, Yan-Li Zhang, Yu-Hai Bian, Li Ma, Qiu-Lin Ge, Yin-Cheng Teng, Zhi-Gang Zhang

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2014. 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
1.1field-weighted citation impact, top 22% 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, 23 citations in OpenAlex.

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  12. Prognostic value of Musashi-1 in endometrioid adenocarcinoma.International journal of clinical and experimental pathology · 2015
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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

8 authors at 2 institutions in 1 country.

Shan-Yun WenDepartment of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, China ; Department of Obstetrics and Gynecology, Shanghai Songjiang District Central Hospital Shanghai, China.
Chang-Hua LiDepartment of Obstetrics & Gynecology, Huai'an First People's Hospital, Nanjing Medical University Huai'an, Jiangsu, PR China.
Yan-Li ZhangState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, China.
Yu-Hai BianDepartment of General Surgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University Shanghai, China.
Li MaDepartment of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, China.
Qiu-Lin GeDepartment of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, China.
Yin-Cheng TengDepartment of Obstetrics and Gynecology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital Shanghai, China.
Zhi-Gang ZhangState Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine Shanghai, China.
Shanghai Sixth People's Hospital · CNShanghai Cancer Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early-stage endometrial carcinoma (EC) patients have a high cure rate; however, those with high-risk factors may have poor prognosis. Thus, there is an urgent need for searching for new prognostic molecules to more accurately predict survival of patients. We detected the Rictor mRNA expression level in 30 fresh EC tissue and 17 normal endometrial tissue samples with real-time quantitative RT-PCR and Rictor protein expression level in 134 (test cohort) and 115 (validation cohort) paraffin tissue samples by immunohistochemistry, analyzed the correlation between variables and overall survival (OS) using Cox proportional hazards regression, compared the prognostic accuracy of Rictor with other clinicopathological risk factors by logistic regression. The results showed that Rictor mRNA expression of EC is higher than that of normal endometrium; Rictor protein expression level was closely correlated with FIGO stage, grade and vascular invasion in both cohorts; a univariate analysis showed that the pathological type, stage, grade, vascular invasion, lymphatic metastasis and Rictor were predictors of OS in both cohorts; furthermore, multivariate Cox proportional hazards regression analysis indicated that vascular invasion and Rictor were independent prognostic factors for EC in both cohorts; an ROX curve comparison showed that the area under the curve (AUC) for Rictor combined with other clinicopathological prognostic factors was higher than any individual factor or other clinicopathological prognostic factors' combination. Based on the above data, we concluded that Rictor is an independent prognostic factor for EC. It combined with other clinicopathological risk factors was a stronger prognostic model than individual risk factor or their combination.

Indexed as

Biomarkers, TumorBiopsyCarcinomaCarrier ProteinsChi-Square DistributionEndometrial NeoplasmsFemaleHumansImmunohistochemistryKaplan-Meier EstimateLogistic ModelsMultivariate AnalysisNeoplasm GradingNeoplasm InvasivenessNeoplasm StagingProportional Hazards ModelsBiomarkers, TumorCarrier ProteinsRapamycin-Insensitive Companion of mTOR ProteinRICTOR protein, humanRNA, Messengerendometrial carcinomaprognosisRictor

Identifiers

PMID24966915
PMCPMC4069916
OpenAlexW3023166947

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.