Evidence map›Paper›PMID 33413211›Full record

ArticleBMC cancer2021

TOP2A/MCM2, p16

Oscar Del Moral-Hernández, Daniel Hernández-Sotelo, Luz Del Carmen Alarcón-Romero, Miguel Angel Mendoza-Catalán, Eugenia Flores-Alfaro, Yaneth Castro-Coronel, Julio Ortiz-Ortiz, Marco Antonio Leyva-Vázquez, Carlos Ortuño-Pineda, Wendy Castro-Mora and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 20% 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, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Viral oncogenesis in cancer: from mechanisms to therapeutics.Signal transduction and targeted therapy · 2025
    Review
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  7. Effect of miRNA-200b on the proliferation of liver cancer cells via targeting SMYD2/p53 signaling pathway.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
    Article
  8. Article
  9. Identification andJournal of thoracic disease · 2022
    Article
  10. Review
  11. 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

11 authors at 1 institution in 1 country.

Oscar Del Moral-HernándezLaboratorio de Virología, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Daniel Hernández-SoteloLaboratorio de Epigenética del Cáncer, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Luz Del Carmen Alarcón-RomeroLaboratorio de Citopatología e Histoquímica, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Miguel Angel Mendoza-CatalánLaboratorio de Biomedicina Molecular, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Eugenia Flores-AlfaroLaboratorio de Epidemiologia Clínica y Molecular de la Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Yaneth Castro-CoronelLaboratorio de Citopatología e Histoquímica, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Julio Ortiz-OrtizLaboratorio de Biomedicina Molecular, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Marco Antonio Leyva-VázquezLaboratorio de Biomedicina Molecular, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Carlos Ortuño-PinedaLaboratorio de Biomedicina Molecular, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Wendy Castro-MoraLaboratorio de Citopatología e Histoquímica, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico.
Berenice Illades-AguiarLaboratorio de Biomedicina Molecular, Universidad Autónoma de Guerrero, Chilpancingo, Guerrero, Mexico. b.illadesaguiar@gmail.com.ORCID http://orcid.org/0000-0003-3937-335X
Universidad Autónoma de Guerrero · MX

Funding

CONACYT 201579
6 · The paper itself

Abstract

backgroundTo improve the efficiency of early diagnosis systems for cervical cancer, the use of cellular and viral markers for identifying precancerous lesions with a greater probability to progress to cancer has been proposed. Several cellular proteins and markers of oxidative DNA damage have been suggested as possible biomarkers of cervical carcinogenesis; however, they have not been evaluated together. In this study, we analyzed the expression of the cellular markers p16

methodsWe analyzed 1485 liquid-based cytology samples, including 239 non-squamous intraepithelial lesions (NSIL), 901 low-grade squamous intraepithelial lesions (LSIL), 54 high-grade squamous intraepithelial lesions (HSIL), and 291 cervical cancers (CC). The biomarkers were analyzed by immunocytochemistry and Human Papilloma Virus (HPV) genotyping with the INNO-LiPA genotyping Extra kit.

resultsWe found that all tested cellular biomarkers were overexpressed in samples with high risk-HPV infection, and the expression levels increased with the severity of the lesion. TOP2A/MCM2 was the best biomarker for discriminating between LSIL and HSIL, followed by p16

conclusionsWe propose that the detection of TOP2A/MCM2, p16

Indexed as

AdultAgedBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16Cyclin ECytodiagnosisDisease ProgressionDNA Topoisomerases, Type IIFemaleFollow-Up StudiesHumansLiquid BiopsyMiddle AgedMinichromosome Maintenance Complex Component 2Oncogene ProteinsPapillomaviridaeBiomarkers, TumorCCNE1 protein, humanCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16Cyclin EDNA Topoisomerases, Type IIMCM2 protein, humanMinichromosome Maintenance Complex Component 2Oncogene ProteinsPoly-ADP-Ribose Binding ProteinsTOP2A protein, humanBiomarkersCervical cancerCyclin E1HPVp16INK4aSILTOP2A/MCM2

Identifiers

PMID33413211
PMCPMC7792307
OpenAlexW3118942702

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.