Evidence map›Paper›PMID 35178403›Full record

ArticleFrontiers in cell and developmental biology2021

Prediction of Clinical Outcome in Endometrial Carcinoma Based on a 3-lncRNA Signature.

Hongmei Ding, Fei Jiang, Lifeng Deng, Juan Wang, Ping Wang, Mintao Ji, Jie Li, Weiqiang Shi, Yufang Pei, Jiafu Li and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 10 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

14 authors at 2 institutions in 1 country.

Hongmei DingDeparment of Nutrition and Food Hygiene, Medical College of Soochow University, Suzhou, China.
Fei JiangDepartment of Occupational and Environmental Health, School of Public Health, Medical College of Soochow University, Suzhou, China.
Lifeng DengDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Juan WangDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Ping WangDeparment of Nutrition and Food Hygiene, Medical College of Soochow University, Suzhou, China.
Mintao JiState Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Soochow University, Suzhou, China.
Jie LiDeparment of Nutrition and Food Hygiene, Medical College of Soochow University, Suzhou, China.
Weiqiang ShiDepartment of Pathology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yufang PeiDepartment of Epidemiology and Biostatistics, School of Public Health, Soochow University, Suzhou, China.
Jiafu LiDepartment of Occupational and Environmental Health, School of Public Health, Medical College of Soochow University, Suzhou, China.
Yue ZhangDeparment of Nutrition and Food Hygiene, Medical College of Soochow University, Suzhou, China.
Zengli ZhangDepartment of Occupational and Environmental Health, School of Public Health, Medical College of Soochow University, Suzhou, China.
Youguo ChenDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Bingyan LiDeparment of Nutrition and Food Hygiene, Medical College of Soochow University, Suzhou, China.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial carcinoma (EC) is one of the common gynecological cancers with increasing incidence and revived mortality recently. Given the heterogeneity of tumors and the complexity of lncRNAs, a panel of lncRNA biomarkers might be more precise and stable for prognosis. In the present study, we developed a new lncRNA model to predict the prognosis of patients with EC. EC-associated differentially expressed long noncoding RNAs (lncRNAs) were identified from The Cancer Genome Atlas (TCGA). Univariate COX regression and least absolute shrinkage and selection operator (LASSO) model were selected to find the 8-independent prognostic lncRNAs of EC patient. Furthermore, the risk score of the 3-lncRNA signature for overall survival (OS) was identified as CTD-2377D24.6 expression × 0.206 + RP4-616B8.5 × 0.341 + RP11-389G6.3 × 0.343 by multivariate Cox regression analysis. According to the median cutoff value of this prognostic signature, the EC samples were divided into two groups, high-risk set (3-lncRNAs at high levels) and low-risk set (3-lncRNAs at low levels), and the Kaplan-Meier survival curves demonstrated that the low-risk set had a higher survival rate than the high-risk set. In addition, the 3-lncRNA signature was closely linked with histological subtype (

Indexed as

biomarkerdiagnosticendometrial carcinomalncRNA signatureprognosis

Identifiers

PMID35178403
PMCPMC8844015
OpenAlexW4210755784

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.