Evidence map›Paper›PMID 31824849›Full record

ArticleFrontiers in oncology2019

An Integrated Three-Long Non-coding RNA Signature Predicts Prognosis in Colorectal Cancer Patients.

Yuhang Liu, Bingxin Liu, Guoying Jin, Jia Zhang, Xue Wang, Yuyang Feng, Zehua Bian, Bojian Fei, Yuan Yin, Zhaohui Huang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.8field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 68 citations in OpenAlex.

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  10. Identification andJournal of thoracic disease · 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

10 authors at 2 institutions in 1 country.

Yuhang LiuWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Bingxin LiuWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Guoying JinWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Jia ZhangWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Xue WangLaboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Yuyang FengLaboratory of Cancer Epigenetics, Wuxi School of Medicine, Jiangnan University, Wuxi, China.
Zehua BianWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Bojian FeiDepartment of Surgical Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Yuan YinWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Zhaohui HuangWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, China.
Jiangnan University · CNWuxi Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common cancers worldwide, whose morbidity and mortality gradually increased. Here, we aimed to identify and access prognostic long non-coding RNAs (lncRNAs) associated with overall survival (OS) in CRC. Firstly, RNA expression profiles were obtained from The Cancer Genome Atlas (TCGA) database, and 439 CRC patients were enrolled as a training set. Univariate Cox analysis and the least absolute shrinkage and selection operator analysis (LASSO) were performed to identify the prognostic lncRNAs. Multivariable Cox regression analysis was used to establish a prognostic risk formula including three lncRNAs (AP003555.2, AP006284.1, and LINC01602). The low-risk group had a better OS than the high-risk group (

Indexed as

biomarkersclinical validation setlong non-coding RNAoverall survivalprognosistraining set

Identifiers

PMID31824849
PMCPMC6883412
OpenAlexW2990390286

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.