Evidence map›Paper›PMID 26871830›Full record

ArticleMedicine2016

Validation of Serological Antibody Profiles Against Human Papillomavirus Type 16 Antigens as Markers for Early Detection of Cervical Cancer.

Dolores Azucena Salazar-Piña, Adolfo Pedroza-Saavedra, Aurelio Cruz-Valdez, Eduardo Ortiz-Panozo, Minerva Maldonado-Gama, Lilia Chihu-Amparan, Angelica Nallelhy Rodriguez-Ocampo, Emilia Orozco-Fararoni, Fernando Esquivel-Guadarrama, Lourdes Gutierrez-Xicotencatl

Open access · goldAbstract readValidation Study
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Current and future direction in treatment of HPV-related cervical disease.Journal of molecular medicine (Berlin, Germany) · 2022
    Review
  5. Article
  6. Article
  7. 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

10 authors at 1 institution in 1 country.

Dolores Azucena Salazar-PiñaFrom the Center for Research on Infectious Diseases (DAS-P, AP-S, MM-G, LC-A, LG-X), National Institute of Public Health, Cuernavaca, Morelos; Center for Research in Population Health (AC-V, EO-P), National Institute of Public Health, Cuernavaca, Morelos; Academic Unit of Chemical Biology and Pharmaceutical Sciences (ANR-O), Autonomous University of Nayarit, Tepic Nayarit; Dysplasia Clinic "Dr. Mauro Belauzaran Tapia" General Hospital in Cuautla (EO-F), Cuautla Morelos; and Faculty of Medicine (FE-G), Autonomous University of Morelos State (UAEM), Cuernavaca, Morelos, Mexico.
Adolfo Pedroza-Saavedra
Aurelio Cruz-Valdez
Eduardo Ortiz-Panozo
Minerva Maldonado-Gama
Lilia Chihu-Amparan
Angelica Nallelhy Rodriguez-Ocampo
Emilia Orozco-Fararoni
Fernando Esquivel-Guadarrama
Lourdes Gutierrez-Xicotencatl
National Institute of Public Health · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer (CC) is the second most frequent neoplasia among women worldwide. Cancer prevention programs around the world have used the Papanicolaou (Pap) smear as the primary diagnostic test to reduce the burden of CC. Nevertheless, such programs have not been effective in developing countries, thus leading to research on alternative tests for CC screening. During the virus life cycle and in the process toward malignancy, different human papillomavirus (HPV) proteins are expressed, and they induce a host humoral immune response that can be used as a potential marker for different stages of the disease. We present a new Slot blot assay to detect serum antibodies against HPV16 E4, E7, and VLPs-L1 antigens. The system was validated with sera from a female population (n = 485) aged 18 to 64 years referred to the dysplasia clinic at the General Hospital in Cuautla, Morelos, Mexico. To evaluate the clinical performance of the serological markers, the sensitivity, specificity, positive, and negative predictive values and receiver-operating characteristic curves (for antibodies alone or in combination) were calculated in groups of lesions of increasing severity. The results showed high prevalence of anti-E4 (73%) and anti-E7 (80%) antibodies in the CC group. Seropositivity to 1, 2, or 3 antigens showed associations of increasing magnitude with CC (odds ratio [OR] = 12.6, 19.9, and 58.5, respectively). The highest association with CC was observed when the analysis was restricted to only anti-E4+E7 antibodies (OR = 187.7). The best clinical performance to discriminate CC from cervical intraepithelial neoplasia 2 to 3 was the one for the combination of anti-E4 and/or anti-E7 antibodies, which displayed high sensitivity (93.3%) and moderate specificity (64.1%), followed by anti-E4 and anti-E7 antibodies (73.3% and 80%; 89.6% and 66%, respectively). In addition, the sensitivity of anti-E4 and/or anti-E7 antibodies is high at any time of sexual activity (TSA), which suggests they can be biomarkers for the early detection of CC. The sensitivity of anti-E4 antibodies was low (<10%) when the TSA was <10 years, and it increased up to 100% in relation to the TSA, suggesting that anti-E4 antibodies can be useful as HPV exposure markers at early stages of the disease.

Indexed as

AdultAntibodies, ViralBiomarkersEarly Detection of CancerFemaleHuman papillomavirus 16HumansMiddle AgedProspective StudiesSerologic TestsUterine Cervical NeoplasmsAntibodies, ViralBiomarkers

Identifiers

PMID26871830
PMCPMC4753926
OpenAlexW2299894477

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.