Evidence map›Paper›PMID 34329194›Full record

ArticleAging2021

Prognoses and genomic analyses of proteasome 26S subunit, ATPase (PSMC) family genes in clinical breast cancer.

Tzu-Jen Kao, Chung-Che Wu, Nam Nhut Phan, Yen-Hsi Liu, Hoang Dang Khoa Ta, Gangga Anuraga, Yung-Fu Wu, Kuen-Haur Lee, Jian-Ying Chuang, Chih-Yang Wang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
10.0field-weighted citation impact, top 1% 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

84 citing papers in PubMed, 128 citations in OpenAlex.

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  9. XRCC1 is linked to poor prognosis in adenocarcinoma of the esophagogastric junction after radiotherapy: transcriptome and alternative splicing events analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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  17. Targeting the glutamine-arginine-proline metabolism axis in cancer.Journal of enzyme inhibition and medicinal chemistry · 2024
    Review
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24 more citing papers are in PubMed but not listed here.

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 6 institutions in 3 countries.

Tzu-Jen KaoThe Ph.D. Program for Neural Regenerative Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Chung-Che WuDivision of Neurosurgery, Department of Surgery, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Nam Nhut PhanNTT Institute of Hi-Technology, Nguyen Tat Thanh University, Ho Chi Minh 700000, Vietnam.
Yen-Hsi LiuSchool of Chinese Medicine for Post-Baccalaureate, I-Shou University, Kaohsiung 82445, Taiwan.
Hoang Dang Khoa TaPh.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science, Taipei Medical University, Taipei 11031, Taiwan.
Gangga AnuragaPh.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science, Taipei Medical University, Taipei 11031, Taiwan.
Yung-Fu WuDepartment of Medical Research, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei 11490, Taiwan.
Kuen-Haur LeePh.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science, Taipei Medical University, Taipei 11031, Taiwan.
Jian-Ying ChuangThe Ph.D. Program for Neural Regenerative Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Chih-Yang WangPh.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science, Taipei Medical University, Taipei 11031, Taiwan.
Taipei Medical University · TWI-Shou University · TWNational Defense Medical Center · TWTaipei Medical University Hospital · TWTrường ĐH Nguyễn Tất Thành · VNWan Fang Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a complex disease, and several processes are involved in its development. Therefore, potential therapeutic targets need to be discovered for these patients. Proteasome 26S subunit, ATPase gene (PSMC) family members are well reported to be involved in protein degradation. However, their roles in breast cancer are still unknown and need to be comprehensively researched. Leveraging publicly available databases, such as cBioPortal and Oncomine, for high-throughput transcriptomic profiling to provide evidence-based targets for breast cancer is a rapid and robust approach. By integrating the aforementioned databases with the Kaplan-Meier plotter database, we investigated potential roles of six PSMC family members in breast cancer at the messenger RNA level and their correlations with patient survival. The present findings showed significantly higher expression profiles of PSMC2, PSMC3, PSMC4, PSMC5, and PSMC6 in breast cancer compared to normal breast tissues. Besides, positive correlations were also revealed between PSMC family genes and ubiquinone metabolism, cell cycle, and cytoskeletal remodeling. Meanwhile, we discovered that high levels of PSMC1, PSMC3, PSMC4, PSMC5, and PSMC6 transcripts were positively correlated with poor survival, which likely shows their importance in breast cancer development. Collectively, PSMC family members have the potential to be novel and essential prognostic biomarkers for breast cancer development.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorBreast NeoplasmsDatasets as TopicDisease-Free SurvivalFemaleGene Expression ProfilingHumansKaplan-Meier EstimatePrognosisProteasome Endopeptidase ComplexRNA, MessengerATP dependent 26S proteaseBiomarkers, TumorProteasome Endopeptidase ComplexRNA, Messengerbioinformaticsbreast cancerPSMC family genes

Identifiers

PMID34329194
PMCPMC8351721
OpenAlexW3186848081

What OpenQuestion holds

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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.