Evidence map›Paper›PMID 32265986›Full record

ArticleFrontiers in genetics2020

Identification of Autophagy-Associated Biomarkers and Corresponding Regulatory Factors in the Progression of Colorectal Cancer.

Chunrui Zhang, Jing Jiang, Liqiang Wang, Liyu Zheng, Jiankai Xu, Xiaolin Qi, Huiying Huang, Jianping Lu, Kongning Li, Hong Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 48% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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 3 institutions in 1 country.

Chunrui ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jing JiangObstetrics and Gynecology Department, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Liqiang WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Liyu ZhengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jiankai XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Xiaolin QiKey Laboratory of Tropical Translational Medicine of Ministry of Education and College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China.
Huiying HuangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Jianping LuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Kongning LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Hong WangKey Laboratory of Tropical Translational Medicine of Ministry of Education and College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China.
Harbin Medical University · CNHainan Medical University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is a self-degradation process that maintains homeostasis against stress in cells. Autophagy dysfunction plays a central role in the development of tumors, such as colorectal cancer (CRC). In this study, autophagy-related differentially expressed genes, their downstream functions, and upstream regulatory factors including RNA-binding proteins (RBP) involved in programmed cell death in the CRC were investigated. Transcription factors (TFs) and miRNAs have been shown to mainly regulate autophagy genes. Interestingly, we found that some of the RBP in the CRC, such as DDX17, SETDB1, and POLR3A, play an important regulatory role in maintaining autophagy at a basal level during growth by acting as TFs that regulate autophagy. Promoter methylations showed negative regulations on differentially expressed autophagy gene (DEAG), while copy number variations revealed a positive role in them. A proportional hazards regression analysis indicated that using autophagy-related prognostic signature can divide patients into high-risk and low-risk groups. Autophagy associated FDA-approved drugs were studied by a prognostic network. This would contribute to the identifications of new potential molecular therapeutic targets for CRC.

Indexed as

autophagybiomarkerscolorectal cancerregulatory networkRNA-binding proteins

Identifiers

PMID32265986
PMCPMC7100633
OpenAlexW3011646669

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.