Cited by 23Breast Cancer Treatment StudiesBreast Lesions and CarcinomasTelomeres, Telomerase, and Senescence

Differential expression of senescence tumour markers and its implications on survival outcomes of breast cancer patients

Open access
Pare, Rahmawati, Soon, Patsy S., Shah, Aashit, Lee, Cheok Soon·2019·PLOS ONE

Abstract

Breast cancer is a heterogeneous disease displaying different histopathological characteristics, molecular profiling and clinical behavior. This study describes the expression patterns of senescence markers P53, DEC1 and DCR2 and assesses their significance on patient survival as a single or combined marker with P16 or P14 using breast cancer progression series. One thousand and eighty (1080) patients with primary invasive ductal carcinoma, no special type, were recruited through an 11-year retrospective study period. We constructed tissue microarrays of normal, benign hyperplasia, ductal carcinoma in situ and invasive ductal carcinoma from each patient and performed immunohistochemical staining to study the protein expression. Statistical analysis includes Pearson chi-square, Kaplan-Meier log ran test and Cox proportional hazard regression were undertaken to determine the associations and predict the survival outcomes. P53, DEC1 and DCR2 expression correlated significantly with normal, benign, premalignant and malignant tissues with (p<0.05). The expression profile of these genes increases from normal to benign to premalignant and plateaued from premalignant to malignant phenotype. There is a significant association between P53 protein expression and age, grade, staging, lymphovascular invasion, estrogen receptor, progesterone receptor and HER2 whereas DCR2 protein expression significantly correlated with tumour grade, hormone receptors status and HER2 (p<0.05 respectively). P53 overexpression correlated with increased risk of relapse (p = 0.002) specifically in patients who did not receive hormone therapy (p = 0.005) or chemotherapy (p<0.0001). The combination of P53+/P16+ is significantly correlated with poor overall and disease-free survival, whereas a combination of P53+/P14+ is associated with worse outcome in disease-free survival (p<0.05 respectively). P53 overexpression appears to be a univariate predictor of poor disease-free survival. The expression profiles of DEC1 and DCR2 do not appear to correlate with patient survival outcomes. The combination of P53 with P16, rather P53 expression alone, appears to provide more useful clinical information on patient survival outcomes in breast cancer.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0214604

Cites

48 of 49 references verified1 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [8]Collado M, Gil J, Efeyan A, Guerra C, Schuhmacher AJ, Barradas M, et al Tumour biology: Senescence in premalignant tumours. Nature. 2005; 436(7051): 642–. 10.1038/436642a 16079833 · DOI · Paper page

Cited by

Sorted by citations

Authors
Pare, R., Soon, P. S., Shah, A., & Lee, C. S.
Affiliations
  • Universiti of Malaysia Sabah (MY)
  • Bankstown Lidcombe Hospital (AU)
  • Liverpool Hospital (AU)
  • The University of Sydney (AU)
Corresponding author
  • Pare, Rahmawati
  • Lee, Cheok Soon
Venue
PLOS ONE
Published
2019-04-18
Volume
14
Issue
4
Pages
e0214604
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2937879402
Cited by
23
References
48
Citations by year
2026: 2 · 2025: 1 · 2024: 4 · 2023: 4 · 2022: 2 · 2021: 7 · 2020: 3
FWCI
0.95
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UMS Institutional Repository (Universiti Malaysia Sabah) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Cancer Institute NSW
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
  • Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
Keywords
breast cancer, senescence markers, p53, DEC1, DcR2, p16, p14, invasive ductal carcinoma, ductal carcinoma in situ, benign breast hyperplasia, disease-free survival, overall survival, prognostic factors, hormone receptor status, HER2, relapse risk, hormone therapy, chemotherapy
MeSH terms
Aged, Breast Neoplasms, Female, Humans, Middle Aged, Neoplasm Recurrence, Local, Neoplasm Staging, Retrospective Studies, Biomarkers, Tumor, Proportional Hazards Models, Tumor Suppressor Protein p53, Disease-Free Survival, Erb-b2 Receptor Tyrosine Kinases, Cyclin-Dependent Kinase Inhibitor p16, Tumor Suppressor Proteins, Kaplan-Meier Estimate, Tumor Necrosis Factor Decoy Receptors

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review