Evidence map›Paper›PMID 26614429›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Nuclear PARP1 expression and its prognostic significance in breast cancer patients.

Annalisa Mazzotta, Giulia Partipilo, Simona De Summa, Francesco Giotta, Giovanni Simone, Anita Mangia

Abstract read
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In one paragraph

Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 14% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. High uPAR and Low miR-221 Expression Predict Poor Disease-Free Survival in Triple-Negative Breast Cancer.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Article
  5. Review
  6. PARP-1 as a novel target in endocrine-resistant breast cancer.Journal of experimental & clinical cancer research : CR · 2025
    Article
  7. Article
  8. Review
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  16. Article
  17. Proteomics Profiling of KAIMRC1 in Comparison to MDA-MB231 and MCF-7.International journal of molecular sciences · 2020
    Article
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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

6 authors at 2 institutions in 1 country.

Annalisa MazzottaFunctional Biomorphology Laboratory, IRCCS Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124, Bari, Italy.
Giulia PartipiloFunctional Biomorphology Laboratory, IRCCS Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124, Bari, Italy.
Simona De SummaMolecular Genetic Laboratory, IRCCS Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124, Bari, Italy.
Francesco GiottaMedical Oncology Unit, IRCCS Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124, Bari, Italy.
Giovanni SimonePathology Department, IRCCS Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124, Bari, Italy.
Anita MangiaFunctional Biomorphology Laboratory, IRCCS Istituto Tumori "Giovanni Paolo II", Viale Orazio Flacco 65, 70124, Bari, Italy. a.mangia@oncologico.bari.it.
Istituto Tumori Bari · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poly(adenosine diphosphate [ADP]-ribose) polymerase 1 (PARP1) plays important roles in DNA damage response pathways and is often overexpressed in various human tumors. Currently, the use of PARP inhibitors for breast cancer (BC) therapy is the subject of debate, and there is an urgent need to understand much the expression and prognostic role of the PARP1 protein. The aim was to investigate the clinicopathological and prognostic significance of PARP1 in BC patients. The PARP1 and breast cancer susceptibility gene 1 (BRCA1) protein expressions were evaluated in 114 BCs by immunohistochemistry. Disease-free survival (DFS) and overall survival (OS) were determined based on the Kaplan-Meier method. Our results showed that nuclear PARP1 expression was significantly associated with peritumoral vascular invasion (P = 0.046), chemotherapeutic treatment (P = 0.026), oestrogen receptor (ER; P = 0.013), human epidermal growth factor receptor 2 (HER2; P = 0.003) and BRCA1 (P < 0.001) expression. Survival analyses showed a significant association with clinical outcome in the subgroup of ER-negative patients (P = 0.017 for DFS and P = 0.048 for OS) and in the subgroup of patients treated with chemotherapeutic agents (P = 0.042 for DFS and P = 0.046 for OS). A significant correlation was also found for DFS in patients characterized by tumors without peritumoral vascular invasion (P = 0.022). More importantly, multivariate analyses revealed that high nuclear PARP1 expression was associated with decreased DFS (P = 0.012) and OS (P = 0.026). In conclusion, PARP1 expression may be used as an independent prognostic factor in BC patients. In addition, this study demonstrated that high PARP1 expression may represent a marker of poorer prognosis both for patients with worse clinical outcome and in less aggressive clinical conditions.

Indexed as

AdultAgedBiomarkers, TumorBRCA1 ProteinBreast NeoplasmsCell NucleusFemaleGene ExpressionHumansImmunohistochemistryMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm StagingPoly (ADP-Ribose) Polymerase-1PrognosisBiomarkers, TumorBRCA1 ProteinPoly (ADP-Ribose) Polymerase-1BRCA1Breast cancerImmunohistochemistryPARP1Prognostic marker

Identifiers

PMID26614429
OpenAlexW2174778508

What OpenQuestion holds

Textmetadata
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.