Evidence map›Paper›PMID 19763913›Full record

ArticleMedical oncology (Northwood, London, England)2010

Anti-p53 antibodies in serum: relationship to tumor biology and prognosis of breast cancer patients.

A Kulić, M Sirotković-Skerlev, S Jelisavac-Cosić, D Herceg, Z Kovac, D Vrbanec

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 23% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Review
  7. Article
  8. Early Diagnosis of Breast Cancer.Sensors (Basel, Switzerland) · 2017
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Protein biomarkers for the early detection of breast cancer.International journal of proteomics · 2011
    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

6 authors at 2 institutions in 1 country.

A KulićDepartment of Pathophysiology, University Hospital Center Zagreb, Kispatićeva 12, Zagreb, 10000, Croatia. ana.kulic1@zg.t-com.hr
M Sirotković-Skerlev
S Jelisavac-Cosić
D Herceg
Z Kovac
D Vrbanec
University Hospital Centre Zagreb · HRZagreb School of Business · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to analyze the concentration of anti-p53 antibodies in the serum of breast cancer patients and to correlate these results with various clinical, pathological and biochemical parameters. We also wanted to assess the prognostic significance of these antibodies in our patients. Sera from 61 patients with breast cancer and 20 individuals without malignancies were analyzed using enzyme-linked immunoadsorbent assay. High levels of anti-p53 antibodies were detected in twenty-one (35%) breast cancer patients and one control (5%). The difference was statistically significant. We observed an inverse relationship between the anti-p53 antibodies and the age of the patients. We found significant association of anti-p53 antibodies with tumor size, histological grade of the tumors and the number of axillary lymph nodes involved. The levels of anti-p53 antibodies were higher in patients with negative estrogen and progesterone receptors in comparison with patients with positive steroid receptors, but the difference was not statistically significant. No relation was observed between anti-p53 antibodies neither with the Cathepsin D levels in the cytosol nor with the HER-2/neu extracellular domain in the serum. Patients with primary tumors and higher levels of anti-p53 antibodies had shorter 5-year survival than patients with lower levels of anti-p53 antibodies. Our results support the role of anti-p53 antibodies as a biomarker of less favorable phenotype as well as a prognostic factor for patients with breast cancer.

Indexed as

AdultAgedAutoantibodiesAutoantigensBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularCathepsin DCell DifferentiationEnzyme-Linked Immunosorbent AssayErb-b2 Receptor Tyrosine KinasesFemaleHumansKaplan-Meier EstimateLymphatic MetastasisMiddle AgedAutoantibodiesAutoantigensCathepsin DCTSD protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesNeoplasm ProteinsReceptors, EstrogenReceptors, ProgesteroneTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID19763913
OpenAlexW2067937300

What OpenQuestion holds

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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.