Prognostic role of high cathepsin D expression in breast cancer: a systematic review and meta-analysis.

breast cancer cathepsin D disease-free survival meta-analysis overall survival prognostic biomarker systematic review

Journal

Therapeutic advances in medical oncology
ISSN: 1758-8340
Titre abrégé: Ther Adv Med Oncol
Pays: England
ID NLM: 101510808

Informations de publication

Date de publication:
2020
Historique:
received: 07 11 2019
accepted: 27 04 2020
entrez: 20 6 2020
pubmed: 20 6 2020
medline: 20 6 2020
Statut: epublish

Résumé

High cathepsin D has been associated with poor prognosis in breast cancer; however, the results of many studies are controversial. Here, we assessed the association between high cathepsin D levels and worse breast cancer prognosis by conducting a meta-analysis. A comprehensive search strategy was used to search relevant literature in PUBMED and EMBASE by September 2018. The meta-analysis was performed in Review Manager 5.3 using hazard ratios (HRs) with 95% confidence intervals (CIs). A total of 15,355 breast cancer patients from 26 eligible studies were included in this meta-analysis. Significant associations between elevated high cathepsin D and poor overall survival (OS) (HR = 1.61, 95% CI: 1.35-1.92, Our meta-analysis suggests that high expression levels of cathepsin D are associated with a poor prognosis in breast cancer. Based on our subgroup analysis, we believe that cathepsin D can act as a marker for poor breast cancer prognosis and also as a therapeutic target for breast cancer.

Sections du résumé

BACKGROUND BACKGROUND
High cathepsin D has been associated with poor prognosis in breast cancer; however, the results of many studies are controversial. Here, we assessed the association between high cathepsin D levels and worse breast cancer prognosis by conducting a meta-analysis.
METHODS METHODS
A comprehensive search strategy was used to search relevant literature in PUBMED and EMBASE by September 2018. The meta-analysis was performed in Review Manager 5.3 using hazard ratios (HRs) with 95% confidence intervals (CIs).
RESULTS RESULTS
A total of 15,355 breast cancer patients from 26 eligible studies were included in this meta-analysis. Significant associations between elevated high cathepsin D and poor overall survival (OS) (HR = 1.61, 95% CI: 1.35-1.92,
CONCLUSIONS CONCLUSIONS
Our meta-analysis suggests that high expression levels of cathepsin D are associated with a poor prognosis in breast cancer. Based on our subgroup analysis, we believe that cathepsin D can act as a marker for poor breast cancer prognosis and also as a therapeutic target for breast cancer.

Identifiants

pubmed: 32550865
doi: 10.1177/1758835920927838
pii: 10.1177_1758835920927838
pmc: PMC7281710
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1758835920927838

Informations de copyright

© The Author(s), 2020.

Déclaration de conflit d'intérêts

Conflict of interest statement: The authors declare that there is no conflict of interest.

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Auteurs

Junho Kang (J)

Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan, Republic of Korea.

Yeuni Yu (Y)

Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan, Republic of Korea.

Seongdo Jeong (S)

Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan, Republic of Korea.

Hansong Lee (H)

Interdisciplinary Program of Genomic Data Science, Pusan National University, Yangsan, Republic of Korea.

Hye Jin Heo (HJ)

Departmment of Anatomy, School of Medicine, Pusan National University, Yangsan, Republic of Korea.

Jeong Jun Park (JJ)

Departemt of Anesthesiology and Pain Medicine, Korea University College of Medicine, Anam Hospital, Seoul, Republic of Korea.

Hee Sam Na (HS)

Department of Oral Microbiology, School of Dentistry, Pusan National University, Yangsan, Republic of Korea.

Dai Sik Ko (DS)

Division of Vascular Surgery, Department of Surgery, Gachon University Gil Medical Center, Incheon, Republic of Korea.

Yun Hak Kim (YH)

Department of Anatomy and Department of Biomedical Informatics, Pusan National University, 49 Busandaehak-ro, Yangsan 50612, Republic of Korea.

Classifications MeSH