Evidence map›Paper›PMID 39284903›Full record

ArticleScientific reports2024

A retrospective analysis suggests PTEN expression is associated with favorable clinicopathological features of breast cancer.

Leonard Derkyi-Kwarteng, Frank Naku Ghartey, Eric Aidoo, Ernest Addae, Emmanuel Gustav Imbeah, Ato Ampomah Brown, Samuel Acquah

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

7 authors.

Leonard Derkyi-KwartengDepartment of Pathology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Frank Naku GharteyDepartment of Chemical Pathology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana. f.ghartey@uccsms.edu.gh.
Eric AidooDepartment of Anatomy and Cell Biology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Ernest AddaeDepartment of Pathology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Emmanuel Gustav ImbeahDepartment of Pathology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Ato Ampomah BrownDepartment of Anatomy and Cell Biology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Samuel AcquahDepartment of Medical Biochemistry, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phosphatase and tensin homolog (PTEN) gene acts as a tumor suppressor by regulating the PI3K/AKT pathway, crucial for cell growth and survival. Mutations or loss of PTEN are common in breast cancer, leading to uncontrolled cell growth. Understanding PTEN's role is vital for targeted therapies. 276 formalin-fixed paraffin-embedded (FFPE) breast cancer tissue blocks from 2012 to 2016 were analyzed for PTEN expression. Immunohistochemistry was performed to identify and assess tumor related clinicopathological characteristics as well as patient demographics. These were statistically matched with PTEN expression. Only 27.5% of the breast cancer tumors were PTEN-positive. PTEN expression correlated significantly with smaller tumor size, lower tumor grade, positive estrogen and progesterone receptor status, and favorable/unfavorable Ki67 status (p < 0.001). No significant association was found with vascular invasion, histologic type, age, HER2 status, staging, or lymph node involvement (p > 0.05). The study confirms PTEN's association with favorable clinicopathological features in breast cancer, supporting its role as a prognostic marker. These findings underscore the importance of PTEN in breast cancer biology and its potential as a therapeutic target. Furthermore these findings confirm the prevalence of advanced stage and aggressive breast cancer tumors in Ghana.

Indexed as

Biomarkers, TumorBreast NeoplasmsPTEN PhosphohydrolaseAdultAgedAged, 80 and overFemaleHumansImmunohistochemistryMiddle AgedPrognosisRetrospective StudiesBiomarkers, TumorPTEN PhosphohydrolasePTEN protein, humanArchival samplesBreast carcinomaClinicopathological characteristicsFavorable prognosisPTEN expressionRetrospective analysis

Identifiers

PMID39284903
PMCPMC11405844

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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.