Evidence map›Paper›PMID 30998679›Full record

ArticlePloS one2019

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

Rahmawati Pare, Patsy S Soon, Aashit Shah, Cheok Soon Lee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
  6. Article
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  8. Article
  9. Review
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  11. Cellular senescence in cancer: clinical detection and prognostic implications.Journal of experimental & clinical cancer research : CR · 2022
    Review
  12. Revisiting Epithelial Carcinogenesis.International journal of molecular sciences · 2022
    Article
  13. Review
  14. Therapy-Induced Senescence: Opportunities to Improve Anticancer Therapy.Journal of the National Cancer Institute · 2021
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
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

4 authors at 4 institutions in 2 countries.

Rahmawati PareDepartment of Biomedical Science and Therapeutic, Faculty of Medicine & Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Sabah Malaysia.ORCID 0000-0003-2664-8940
Patsy S SoonIngham Institute for Applied Medical Research, Liverpool, NSW Australia.
Aashit ShahBreast Surgery Unit, Liverpool Hospital, Liverpool, NSW Australia.
Cheok Soon LeeIngham Institute for Applied Medical Research, Liverpool, NSW Australia.
Bankstown Lidcombe Hospital · AULiverpool Hospital · AUThe University of Sydney · AUUniversiti of Malaysia Sabah · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AgedBiomarkers, TumorBreast NeoplasmsCyclin-Dependent Kinase Inhibitor p16Disease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingProportional Hazards ModelsRetrospective StudiesTumor Necrosis Factor Decoy ReceptorsTumor Suppressor Protein p53Biomarkers, TumorCyclin-Dependent Kinase Inhibitor p16DELEC1 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesTNFRSF10D protein, humanTP53 protein, humanTumor Necrosis Factor Decoy ReceptorsTumor Suppressor Protein p53Tumor Suppressor Proteins

Identifiers

PMID30998679
PMCPMC6472879
OpenAlexW2937879402

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.