Evidence map›Paper›PMID 34094830›Full record

ArticleActa pharmaceutica Sinica. B2021

Multi-omics approaches identify

Shouyue Zhang, Jin Zhang, Yang An, Xiaoxi Zeng, Ziyi Qin, Yuqian Zhao, Heng Xu, Bo Liu

Open access · diamondAbstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

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  5. [SF3B3 overexpression promotes proliferation of gastric cancer cells and correlates with poor patient prognosis].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
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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 3 institutions in 2 countries.

Shouyue ZhangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 61004, China.
Jin ZhangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 61004, China.
Yang AnDepartment of Plastic Surgery, Peking University Third Hospital, Beijing 100191, China.
Xiaoxi ZengWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Ziyi QinState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 61004, China.
Yuqian ZhaoState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 61004, China.
Heng XuDepartment of Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu 610041, China.
Bo LiuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 61004, China.
Sichuan University · CNBrigham and Women's Hospital · USWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is a critical cellular homeostatic mechanism, and its dysfunction is linked to invasive breast carcinoma (BRCA). Recently, several omics methods have been applied to explore autophagic regulators in BRCA; however, more reliable and robust approaches for identifying crucial regulators and druggable targets remain to be discovered. Thus, we report here the results of multi-omics approaches to identify potential autophagic regulators in BRCA, including gene expression (EXP), DNA methylation (MET) and copy number alterations (CNAs) from The Cancer Genome Atlas (TCGA). Newly identified candidate genes, such as

Indexed as

Anti-proliferationATG, autophagy-related geneAutophagic regulatorBRCA, invasive breast carcinomaCNA, copy number alterationDruggable targetEXP, gene expressionGO, Gene OntologyInvasive breast carcinomaLASSO, least absolute shrinkage and selection operatorMET, DNA methylationMigrationMulti-omics approachPFS, progression-free survivalSF3B3SIRT3SNF, similarity network fusionTCGA, The Cancer Genome AtlasTNBC, triple-negative breast cancer

Identifiers

PMID34094830
PMCPMC8148052
OpenAlexW3113608995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.