Evidence map›Paper›PMID 35070424›Full record

ArticleJournal of gastrointestinal oncology2021

Screening of a novel autophagy-related prognostic signature and therapeutic targets in hepatocellular carcinoma.

Wei Chen, Ming-Juan Hu, Xiao-Lan Zhong, Lin-Hua Ji, Jian Wang, Cheng-Fang Zhang, Rui Zhang, Hao-Ming Lin

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 7 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

8 authors at 2 institutions in 1 country.

Wei ChenDepartment of Oncology, People's Hospital of Huadu District, Guangzhou, China.
Ming-Juan HuDepartment of Pathology, People's Hospital of Huadu District, Guangzhou, China.
Xiao-Lan ZhongDepartment of Gastroenterology, People's Hospital of Huadu District, Guangzhou, China.
Lin-Hua JiDepartment of Oncology, People's Hospital of Huadu District, Guangzhou, China.
Jian WangDepartment of Interventional Medicine, People's Hospital of Huadu District, Guangzhou, China.
Cheng-Fang ZhangDepartment of Oncology, People's Hospital of Huadu District, Guangzhou, China.
Rui ZhangHBP Surgery Department, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Hao-Ming LinHBP Surgery Department, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen Memorial Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany studies have indicated that autophagy plays an important role in multiple cancers, including hepatocellular carcinoma (HCC). This study aimed to establish a prognostic signature for HCC based on autophagy-related genes (ARGs) to predict the prognosis of patients.

methodsThe list of ARGs was derived from screening National Center for Biotechnology Information (NCBI)-Gene and Molecular Signatures Database (MSigDB) datasets. Differential analysis was conducted via the R

resultsFirstly, 106 differential ARGs were identified and 10 candidates were further confirmed via Cox regression analysis, including

conclusionsOur study established an autophagy-related signature for predicting the prognosis of HCC patients, providing a thorough understanding of the underlying mechanisms of autophagy in HCC.

Indexed as

Autophagy-related genes (ARGs)hepatocellular carcinoma (HCC)prognosisThe Cancer Genome Atlas (TCGA)

Identifiers

PMID35070424
PMCPMC8748040
OpenAlexW3216378388

What OpenQuestion holds

Textmetadata
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.