Evidence map›Paper›PMID 32964050›Full record

ArticleBioMed research international2020

Development of Prognostic Indicator Based on Autophagy-Related lncRNA Analysis in Colon Adenocarcinoma.

Weige Zhou, Shijing Zhang, Hui-Biao Li, Zheyou Cai, Shuting Tang, Li-Xia Chen, Jian-Ying Lang, Zheng Chen, Xin-Lin Chen

Abstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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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

42 citing papers in PubMed.

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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

9 authors.

Weige ZhouSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-5392-2023
Shijing ZhangSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0001-8538-8419
Hui-Biao LiThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-5557-6870
Zheyou CaiSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0003-2640-7223
Shuting TangThe First Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Li-Xia ChenSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jian-Ying LangSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.
Zheng ChenDepartment of Stomatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-3505-0396
Xin-Lin ChenSchool of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID https://orcid.org/0000-0002-2650-8051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There were no systematic researches about autophagy-related long noncoding RNA (lncRNA) signatures to predict the survival of patients with colon adenocarcinoma. It was necessary to set up corresponding autophagy-related lncRNA signatures. The expression profiles of lncRNAs which contained 480 colon adenocarcinoma samples were obtained from The Cancer Genome Atlas (TCGA) database. The coexpression network of lncRNAs and autophagy-related genes was utilized to select autophagy-related lncRNAs. The lncRNAs were further screened using univariate Cox regression. In addition, Lasso regression and multivariate Cox regression were used to develop an autophagy-related lncRNA signature. A risk score based on the signature was established, and Cox regression was used to test whether it was an independent prognostic factor. The functional enrichment of autophagy-related lncRNAs was visualized using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Ten prognostic autophagy-related lncRNAs (AC027307.2, AC068580.3, AL138756.1, CD27-AS1, EIF3J-DT, LINC01011, LINC01063, LINC02381, AC073896.3, and SNHG16) were identified to be significantly different, which made up an autophagy-related lncRNA signature. The signature divided patients with colon adenocarcinoma into the low-risk group and the high-risk group. A risk score based on the signature was a significantly independent factor for the patients with colon adenocarcinoma (HR = 1.088, 95%CI = 1.057 - 1.120;

Indexed as

AdenocarcinomaAutophagyBiomarkers, TumorColonColonic NeoplasmsFemaleGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansMalePrognosisRNA, Long NoncodingBiomarkers, TumorRNA, Long Noncoding

Identifiers

PMID32964050
PMCPMC7486634

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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.