Evidence map›Paper›PMID 33116760›Full record

ArticlePharmacogenomics and personalized medicine2020

Competing Endogenous RNA (ceRNA) Network Analysis of Autophagy-Related Genes in Hepatocellular Carcinoma.

Chenyu Yang, Yixiu Wang, Weijie Xue, Yuwei Xie, Qian Dong, Chengzhan Zhu

Open access · goldAbstract read
In one paragraph

Article in Pharmacogenomics and personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

5 citing papers in PubMed, 5 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

6 authors at 1 institution in 1 country.

Chenyu Yang *Department of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, People's Republic of China.ORCID 0000-0002-3905-3148
Yixiu WangDepartment of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, People's Republic of China.
Weijie XueDepartment of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, People's Republic of China.
Yuwei XieDepartment of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, People's Republic of China.
Qian Dong *Department of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, People's Republic of China.
Chengzhan Zhu *Shandong Provincial Key Laboratory of Digital Medicine and Computer-Assisted Surgery, Qingdao 266003, People's Republic of China.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAutophagy plays an important role in the occurrence and development of hepatocellular carcinoma (HCC). We aimed to develop an autophagy-related genes signature predicting the prognosis of HCC and to depict a competing endogenous RNA (ceRNA) network.

methodsDifferentially expressed autophagy-related genes (DE-ATGs), miRNAs and lncRNAs and clinical data of HCC patients were extracted from TCGA. The GO and KEGG analysis were performed to investigate the gene function. Univariate and multivariate Cox regression analysis were used to identify a prognostic signature with the DE-ATGs. And a nomogram, adapted to the clinical characteristics, was established. Then, we established a ceRNA network related to autophagy genes.

resultsWe screened out 27 differentially expressed genes which were enriched in GO and KEGG pathways related to autophagy and cancers. In univariate and multivariate Cox regression analysis,

conclusionWe constructed a reliable prognostic model of HCC with autophagy-related genes and depicted a ceRNA network of DE-ATGs in HCC which provides a basis for the study of post-transcriptional modification and regulation of autophagy-related genes in HCC.

Indexed as

autophagy-related genesceRNAcompeting endogenous RNAHCChepatocellular carcinomaTCGA

Identifiers

PMID33116760
PMCPMC7568685
OpenAlexW3092533351

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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.