Evidence map›Paper›PMID 20200435›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2010

p53 autoantibodies as potential detection and prognostic biomarkers in serous ovarian cancer.

Karen S Anderson, Jessica Wong, Allison Vitonis, Christopher P Crum, Patrick M Sluss, Joshua Labaer, Daniel Cramer

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In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.

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  14. Mutant p53 as an Antigen in Cancer Immunotherapy.International journal of molecular sciences · 2020
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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

7 authors at 4 institutions in 1 country.

Karen S AndersonCancer Vaccine Center, Department of Medical Oncology, Dana-Farber Cancer Institute, HIM416, 77 Avenue Louis Pasteur, Boston, MA 02115, USA. kanderson@partners.org
Jessica Wong
Allison Vitonis
Christopher P Crum
Patrick M Sluss
Joshua Labaer
Daniel Cramer
Arizona State University · USMassachusetts General Hospital · USDana-Farber Brigham Cancer Center · USDana-Farber Cancer Institute · US

Funding

PROTEOMIC/EPIDMIOLOGIC PATHS TO OVARIAN CANCER SCREENINGU01CA086381 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI CRAMER, DANIEL WILLIAM · 2000 to 2010
$9.0M
Biomarker Detection Using NAPPA Tumor Antigen ArraysU01CA117374 · NCI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2005 to 2015
$6.2M
NCI NIH HHS U01 CA086381NCI NIH HHS U01 CA117374NCI NIH HHS UO1 CA086381
6 · The paper itself

Abstract

backgroundThis study examined the value of serum p53 autoantibodies (p53-AAb) as detection and prognostic biomarkers in ovarian cancer.

methodsp53-AAb were detected by ELISA in sera obtained preoperatively from women undergoing surgery for a pelvic mass. This group included women subsequently diagnosed with invasive serous ovarian cancer (n = 60), nonserous ovarian cancers (n = 30), and women with benign disease (n = 30). Age-matched controls were selected from the general population (n = 120). Receiver operating characteristic curves were constructed to compare the values of p53-AAb, CA 125, and HE4 as a screening biomarker. Kaplan-Meier curves and Cox proportional hazards modeling were used to assess its prognostic value on survival.

resultsp53-AAb were detected in 25 of 60 (41.7%) of serous cases, 4 of 30 (13.3%) nonserous cases, 3 of 30 (10%) benign disease cases, and 10 of 120 (8.3%) controls (combined P = 0.0002). p53-AAb did not significantly improve the detection of cases [area under the curve (AUC), 0.69] or the discrimination of benign versus malignant disease (AUC, 0.64) compared with CA 125 (AUC, 0.99) or HE4 (AUC, 0.98). In multivariate analysis among cases, p53-AAb correlated only with a family history of breast cancer (P = 0.01). Detectable p53 antibodies in pretreatment sera were correlated with improved overall survival (P = 0.04; hazard ratio, 0.57; 95% confidence interval, 0.33-0.97) in serous ovarian cancer.

conclusionsAntibodies to p53 are detected in the sera of 42% of patients with advanced serous ovarian cancer. IMPACT: Although their utility as a preoperative diagnostic biomarker, beyond CA 125 and HE4, is limited, p53-AAb are prognostic for improved overall survival.

Indexed as

AdultAgedArea Under CurveAutoantibodiesbeta-DefensinsBiomarkers, TumorCA-125 AntigenCystadenocarcinoma, SerousEnzyme-Linked Immunosorbent AssayEpididymal Secretory ProteinsFemaleHumansKaplan-Meier EstimateMiddle AgedNeoplasm StagingOvarian NeoplasmsAutoantibodiesbeta-DefensinsBiomarkers, TumorCA-125 AntigenDEFB126 protein, humanEpididymal Secretory ProteinsTumor Suppressor Protein p53

Identifiers

PMID20200435
PMCPMC2838192
OpenAlexW2121829072

What OpenQuestion holds

Textmetadata
LicenceTDM
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.