Evidence map›Paper›PMID 33947843›Full record

ArticleCell death & disease2021

Interrogation of gender disparity uncovers androgen receptor as the transcriptional activator for oncogenic miR-125b in gastric cancer.

Ben Liu, Meng Zhou, Xiangchun Li, Xining Zhang, Qinghua Wang, Luyang Liu, Meng Yang, Da Yang, Yan Guo, Qiang Zhang and 10 more

Open access · goldAbstract read
In one paragraph

Article in Cell death & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

18 citing papers in PubMed, 22 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

20 authors at 4 institutions in 2 countries.

Ben Liu *Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.ORCID 0000-0001-8452-5397
Meng Zhou *Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Xiangchun LiTianjin Cancer Institute, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Xining ZhangDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Qinghua WangDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Luyang LiuDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Meng YangTianjin Cancer Institute, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Da YangCenter for Pharmacogenetics, Department of Pharmaceutical Sciences, Department of Computational and Systems Biology University of Pittsburgh Cancer Institute, University of Pittsburgh, Pittsburgh, PA, 15261, USA.ORCID 0000-0002-8336-9457
Yan GuoDepartment of Cancer Biobank, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Qiang ZhangDepartment of Maxillofacial and Otorhinolaryngology Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Hong ZhengDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Qiong WangDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Lian LiDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Xinlei ChuDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Wei WangDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Haixin LiDepartment of Cancer Biobank, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Fengju SongDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Yuan PanDepartment of Senior Ward, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China.
Wei ZhangWake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston- Salem, NC, USA.
Kexin ChenDepartment of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China. chenkexin@tmu.edu.cn.ORCID 0000-0003-4248-7681
Tianjin Medical University Cancer Institute and Hospital · CNAtrium Health Wake Forest Baptist · USDalian Medical University · CNUPMC Hillman Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a male preponderance in gastric cancer (GC), which suggests a role of androgen and androgen receptor (AR). However, the mechanism of AR signaling in GC especially in female patients remains obscure. We sought to identify the AR signaling pathway that might be related to prognosis and examine the potential clinical utility of the AR antagonist for treatment. Deep learning and gene set enrichment analysis was used to identify potential critical factors associated with gender bias in GC (n = 1390). Gene expression profile analysis was performed to screen differentially expressed genes associated with AR expression in the Tianjin discovery set (n = 90) and TCGA validation set (n = 341). Predictors of survival were identified via lasso regression analyses and validated in the expanded Tianjin cohort (n = 373). In vitro and in vivo experiments were established to determine the drug effect. The GC gender bias was attributable to sex chromosome abnormalities and AR signaling dysregulation. The candidates for AR-related gene sets were screened, and AR combined with miR-125b was associated with poor prognosis, particularly among female patients. AR was confirmed to directly regulate miR-125b expression. AR-miR-125b signaling pathway inhibited apoptosis and promoted proliferation. AR antagonist, bicalutamide, exerted anti-tumor activities and induced apoptosis both in vitro and in vivo, using GC cell lines and female patient-derived xenograft (PDX) model. We have shed light on gender differences by revealing a hormone-regulated oncogenic signaling pathway in GC. Our preclinical studies suggest that AR is a potential therapeutic target for this deadly cancer type, especially in female patients.

Indexed as

AnimalsFemaleHeterograftsHumansMaleMiceMice, Inbred BALB CMice, NudeMicroRNAsReceptors, AndrogenSex FactorsStomach NeoplasmsTranscriptomeMicroRNAsMIRN125 microRNA, humanReceptors, Androgen

Identifiers

PMID33947843
PMCPMC8096848
OpenAlexW3158862019

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.