Evidence map›Paper›PMID 29891973›Full record

ArticleScientific reports2018

A seven-lncRNA signature predicts overall survival in esophageal squamous cell carcinoma.

Yu Mao, Zhanzhao Fu, Yunjie Zhang, Lixin Dong, Yanqiu Zhang, Qiang Zhang, Xin Li, Jia Liu

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

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

40 citing papers in PubMed.

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  12. Underexpression ofFrontiers in oncology · 2022
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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.

Yu MaoDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China. ayabluewin@163.com.
Zhanzhao FuDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Yunjie ZhangDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Lixin DongDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Yanqiu ZhangDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Qiang ZhangDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Xin LiDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China.
Jia LiuInstitute of basic medical sciences, Qilu Hospital, Shandong University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the most common types of cancer and the leading causes of cancer-related mortality worldwide, especially in Eastern Asia. Here, we downloaded the microarray data of lncRNA expression profiles of ESCC patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data sets and divided into training, validation and test set. The random survival forest (RSF) algorithm and Cox regression analysis were applied to identify a seven-lncRNA signature. Then the predictive ability of the seven-lncRNA signature was evaluated in the validation and test set using Kaplan-Meier test, time-dependent receiver operating characteristic (ROC) curves and dynamic area under curve (AUC). Stratified analysis and multivariate Cox regression also demonstrated the independence of the signature in prognosis prediction from other clinical factors. Besides, the predict accuracy of lncRNA signature was much better than that of tumor-node-metastasis (TNM) stage in all the three sets. LncRNA combined with TNM displayed better prognostic predict ability than either alone. The role of LINC00173 from the signature in modulating the proliferation and cell cycle of ESCC cells was also observed. These results indicated that this seven-lncRNA signature could be used as an independent prognostic biomarker for prognosis prediction of patients with ESCC.

Indexed as

TranscriptomeEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaHumansMicroarray AnalysisMolecular Diagnostic TechniquesPredictive Value of TestsPrognosisRNA, Long NoncodingROC CurveSurvival AnalysisRNA, Long Noncoding

Identifiers

PMID29891973
PMCPMC5995883

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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.