Evidence map›Paper›PMID 30846725›Full record

ArticleScientific reports2019

Quantifying Tip60 (Kat5) stratifies breast cancer.

A McGuire, M C Casey, A Shalaby, O Kalinina, C Curran, M Webber, G Callagy, E Holian, E Bourke, M J Kerin and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Histone acetylation modulators in breast cancer.Breast cancer research : BCR · 2025
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  11. Acetylation in Tumor Immune Evasion Regulation.Frontiers in pharmacology · 2021
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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

11 authors at 1 institution in 1 country.

A McGuireDiscipline of Surgery, School of Medicine, Lambe institute for Translational Research, National University of Ireland, Galway, Ireland.
M C CaseyDiscipline of Surgery, School of Medicine, Lambe institute for Translational Research, National University of Ireland, Galway, Ireland.
A ShalabySchool of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland.
O KalininaDiscipline of Pathology, School of Medicine, Lambe institute for Translational Research, National University of Ireland, Galway, Ireland.
C CurranDiscipline of Surgery, School of Medicine, Lambe institute for Translational Research, National University of Ireland, Galway, Ireland.
M WebberSchool of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland.
G CallagySchool of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland.
E HolianDiscipline of Pathology, School of Medicine, Lambe institute for Translational Research, National University of Ireland, Galway, Ireland.
E BourkeSchool of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland.
M J KerinDiscipline of Surgery, School of Medicine, Lambe institute for Translational Research, National University of Ireland, Galway, Ireland.
J A L BrownDiscipline of Surgery, School of Medicine, Lambe institute for Translational Research, National University of Ireland, Galway, Ireland. james.brown@nuigalway.ie.ORCID 0000-0002-3155-0334
Ollscoil na Gaillimhe – University of Galway · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is stratified into four distinct clinical subtypes, using three key biomarkers (Her2/Neu gene status, Estrogen and Progesterone receptor status). However, each subtype is a heterogeneous group, displaying significant variation in survival rates and treatment response. New biomarkers are required to provide more precise stratification of breast cancer cohorts to inform personalised treatment options/predict outcomes. Tip60 is a member of the MYST sub-family of histone acetyltransferases (HATs), and is directly involved in genome maintenance, gene regulation and DNA damage response/repair pathways (key chemotherapeutic influencing mechanisms). We aimed to determine if quantifying Tip60 staining patterns improved breast cancer stratification. We defined Tip60 protein in vivo, quantifying location (cytoplasmic, nuclear), percent of cells and staining intensity in a breast cancer tissue microarray (n = 337). A significant association of specific Tip60 staining patterns with breast cancer subtype, ER or PR status and Tumour grade was found. Importantly, low Tip60 mRNA expression correlated with poor overall survival and relapse free survival. We found Tip60 is a biomarker able to stratify breast cancer patients, and low Tip60 expression is a significant risk factor indicating a higher chance of disease reoccurrence. This work highlights Tip60 regulation as a key factor influencing the development of breast cancer.

Indexed as

Biomarkers, TumorBreast NeoplasmsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansLysine Acetyltransferase 5Neoplasm Recurrence, LocalPrognosisRisk FactorsSurvival RateBiomarkers, TumorKAT5 protein, humanLysine Acetyltransferase 5

Identifiers

PMID30846725
PMCPMC6405843
OpenAlexW2919051910

What OpenQuestion holds

Textmetadata
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.