Evidence map›Paper›PMID 27121307›Full record

ArticleProteomics. Clinical applications2016

Proteomic mapping of p53 immunogenicity in pancreatic, ovarian, and breast cancers.

Benjamin A Katchman, Rodrigo Barderas, Rizwan Alam, Diego Chowell, Matthew S Field, Laura J Esserman, Garrick Wallstrom, Joshua LaBaer, Daniel W Cramer, Michael A Hollingsworth and 1 more

Abstract read
In one paragraph

Article in Proteomics. Clinical applications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Protein Microarray Analysis with GenePix.Methods in molecular biology (Clifton, N.J.) · 2025
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  13. Phage Microarrays for Screening of Humoral Immune Responses.Methods in molecular biology (Clifton, N.J.) · 2021
    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

11 authors.

Benjamin A KatchmanVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Rodrigo BarderasBiochemistry and Molecular Biology I Department, Complutense University, Madrid, Spain.
Rizwan AlamVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Diego ChowellVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Matthew S FieldVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Laura J EssermanDepartment of Surgery, University of California, San Francisco, CA, USA.
Garrick WallstromVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Joshua LaBaerVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Daniel W CramerDepartment of Gynecology and Reproductive Biology, Brigham and Women's Hospital, Boston, MA.
Michael A HollingsworthEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Karen S AndersonVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.

Funding

Biomarker Detection Using NAPPA Tumor Antigen ArraysU01CA117374 · NCI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2005 to 2015
$6.2M
Novel approaches to study immune responses to post translational modifications for cancer detectionU01CA214201 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2016 to 2021
$2.6M
Mutation-Specific p53 Antibodies as Biomarkers of Pancreatic CancerR21CA164593 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ANDERSON, KAREN SUE · 2012 to 2013
$368k
NCI NIH HHS R21 CA164593NCI NIH HHS U01 CA117374NCI NIH HHS U01 CA214201
6 · The paper itself

Abstract

purposeMutations in TP53 induce autoantibody immune responses in a subset of cancer patients, which have been proposed as biomarkers for early detection. Here, we investigate the association of p53-specific autoantibodies with multiple tumor subtypes and determine the association with p53 mutation status and epitope specificity. EXPERIMENTAL

designIgG p53 autoantibodies (p53-AAb), were quantified in 412 serum samples using a programmable ELISA assay from patients with serous ovarian, pancreatic adenocarcinoma, and breast cancer. To determine if patients generated mutation-specific autoantibodies we designed a panel of the most relevant 51 p53 point mutant proteins, to be displayed on custom programmable protein microarrays. To determine the epitope specificity we displayed 12 overlapping tiling fragments and 38 N- and C-terminal deletions spanning the length of the wild-type p53 protein.

resultsWe detected p53-AAb with sensitivities of 58.8% (ovarian), 22% (pancreatic), 32% (triple negative breast cancer), and 10.2% (HER2+ breast cancer) at 94% specificity. Sera with p53-AAb contained broadly reactive autoantibodies to 51 displayed p53 mutant proteins, demonstrating a polyclonal response to common epitopes. All p53-AAb displayed broad polyclonal immune response to both continuous and discontinuous epitopes at the N- and C-terminus as well as the DNA-binding domain. CONCLUSION AND CLINICAL RELEVANCE: In this comprehensive analysis, mutations in tumor p53 induce strong, polyclonal autoantibodies with broadly reactive epitope specificity.

Indexed as

MutationProteomicsAntibody SpecificityAutoantibodiesBreast NeoplasmsEpitopesFemaleHumansOvarian NeoplasmsPancreatic NeoplasmsTumor Suppressor Protein p53AutoantibodiesEpitopesTumor Suppressor Protein p53Antibody mappingAutoantibodyCancerp53Protein array

Identifiers

PMID27121307
PMCPMC5553208

What OpenQuestion holds

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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.