Evidence map›Paper›PMID 31839604›Full record

ArticleCancer biomarkers : section A of Disease markers2020

Evaluation of a panel of tumor-associated antigens in breast cancer.

Cecilia Pagaza-Straffon, Laurence A Marchat, Luis Herrera, José Díaz-Chávez, Mauricio González Avante, Yadira Palacios Rodríguez, Mauricio Castañón Arreola, César López-Camarillo

Abstract readEvaluation Study
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  6. Autoimmune Responses in Oncology: Causes and Significance.International journal of molecular sciences · 2021
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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

8 authors at 3 institutions in 1 country.

Cecilia Pagaza-StraffonGenomics Sciences Program, Autonomous University of Mexico City, CDMX, Mexico.
Laurence A MarchatMolecular Biomedicine Program, Biotechnology Network, Instituto Politécnico Nacional, CDMX, Mexico.
Luis HerreraCarcinogenesis Laboratory, National Institute of Cancerology, CDMX, Mexico.
José Díaz-ChávezCarcinogenesis Laboratory, National Institute of Cancerology, CDMX, Mexico.
Mauricio González Avante20 November Hospital, IMSS, CDMX, Mexico.
Yadira Palacios RodríguezDepartament of Natural Sciences, Metropolitan Autonomous University, CDMX, Mexico.
Mauricio Castañón ArreolaGenomics Sciences Program, Autonomous University of Mexico City, CDMX, Mexico.
César López-CamarilloGenomics Sciences Program, Autonomous University of Mexico City, CDMX, Mexico.
Instituto Politécnico Nacional · MXMexican Social Security Institute · MXUniversidad Autónoma Metropolitana · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent studies indicate that serum from cancer patients contains auto-antibodies against oncoproteins so called tumor-associated antigens (TAAs), which represent promising diagnostic and prognostic biomarkers.

objectivesIn this study we searched for breast cancer-associated auto-antibodies against individual TAAs. Also we evaluated if a panel of multiple TTAs would improve the detection of auto-antibodies. We screened CEA, CCBN1, c-Myc, p53, Ki-67, Nm23, PRDX6, eIF5A, PARK7, GLIO-1, Hsp27 and Hsp70 proteins, previously detected as up-regulated in breast tumors of Mexican patients.

methodsEnzyme-linked immunosorbent assays (ELISA) were performed to detect auto-antibodies in sera from a cohort of 104 breast cancer patients and 50 sera from healthy individuals.

resultsOur data showed that antibodies frequency to any individual TAA was low and ranged from 0.96% to 4.8%. However, the successive addition of multiple TAAs represented by panels of three-to-five TAAs resulted in increased ELISA positive reactions. The first panel of three combined TAAs (p53/PRDX6/CEA) had a sensitivity of 19%, while a second set of four TAAs (p53/PRDX6/c-Myc/Hsp70) reached 28% sensitivity. Likewise, a third panel of five antigens (p53/PRDX6/c-Myc/Hsp70/Nm23) showed 34% sensitivity.

conclusionsOur data showed that detection of individual autoantibodies against TAAs in the cohort of patients analyzed here was low, which was enhanced by adding multiple TAAs. Data support the notion that frequencies of autoantibodies could be impacted by geographical and heterogeneous genetic factors of breast cancer patients.

Indexed as

AdultAgedAntigens, NeoplasmAutoantibodiesBiomarkers, TumorBreast NeoplasmsCase-Control StudiesCohort StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansMiddle AgedROC CurveAntigens, NeoplasmAutoantibodiesBiomarkers, TumorautoantibodiesBreast cancerimmunodiagnosistumor-associated antigens

Identifiers

PMID31839604
PMCPMC12662290
OpenAlexW2995043712

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.