Evidence map›Paper›PMID 29914007›Full record

ArticleCancer biomarkers : section A of Disease markers2018

The KISS1 gene overexpression as a potential molecular marker for cervical cancer cells.

Keiko Taniguchi-Ponciano, Rosa María Ribas-Aparicio, Daniel Marrero-Rodríguez, Hugo Arreola-De la Cruz, Víctor Huerta-Padilla, Nancy Muñoz, Laura Gómez-Ortiz, Gustavo Ponce-Navarrete, Miriam Rodríguez-Esquivel, Mónica Mendoza-Rodríguez and 10 more

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
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

20 authors at 6 institutions in 1 country.

Keiko Taniguchi-PoncianoLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Rosa María Ribas-AparicioPrograma de Doctorado en Ciencias en Biomedicina y Biotecnología Molecular, Departamento de Microbiología, Escuela de Ciencias Biológicas Instituto Politécnico Nacional (ENCB-IPN), Mexico City, Mexico.
Daniel Marrero-RodríguezLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Hugo Arreola-De la CruzLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Víctor Huerta-PadillaLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Nancy MuñozLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Laura Gómez-OrtizLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Gustavo Ponce-NavarreteLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Miriam Rodríguez-EsquivelLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Mónica Mendoza-RodríguezLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Laura Gómez-VirgilioLaboratorio 5 Departamento de Biomedicina Molecular, CINVESTAV-IPN, Mexico City, Mexico.
Raúl PeraltaCentro de Investigación en Dinámica Celular, Universidad Autónoma del Estado de Morelos, Cuernavaca, Mexico.
Luis SernaClínica de Displasias, Hospital General de México, Mexico City, Mexico.
Guillermo GómezClínica de Displasias, Hospital General de México, Mexico City, Mexico.
Jorge OrtizClínica de Displasias, Hospital General de México, Mexico City, Mexico.
Alejandra MantillaServicio de Patología, Hospital de Oncología CMN-SXXI, IMSS, Mexico City, Mexico.
Daniel HernándezDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, IMSS, Mexico City, Mexico.
Ángeles HernándezDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, IMSS, Mexico City, Mexico.
Cindy BandalaUnidad de Apoyo a la Investigación, Instituto Nacional de Rehabilitación, Secretaría de Salud, Mexico City, Mexico.
Mauricio SalcedoLaboratorio de Oncología Genómica, Unidad de Investigación Médica en Enfermedades Oncológicas, Hospital de Oncología, CMN-SXXI, IMSS, Mexico City, Mexico.
Mexican Social Security Institute · MXHospital General de México · MXInstituto Politécnico Nacional · MXCenter for Research and Advanced Studies of the National Polytechnic Institute · MXInstituto Nacional de Rehabilitación · MXUniversidad Autónoma del Estado de Morelos · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSimilarities between the pathologic progression of cancer and the physiologic process of placentation have been recognized for many years proposing that both present similar mechanisms and processes. Cervical cancer (CC) is one of the most frequent neoplasia among Mexican women turning it into an important health problem.

objectiveThe aim of this study was to determine the degree of the involvement of pregnancy related genes and in cancer progression by in-silico analysis and validated in CC samples.

resultsThe data mining analysis resulted in the identification of genes expressed in term placenta, first trimester placenta and normal cervical tissues. Finally, we selected KISS1 for the involvement of pregnancy related gene and also in cancer process. In order to explore KISS1 in CC, we analyzed Copy Number Variation (CNV) and gene expression using microarray experiments. KISS1 showed 20% genomic gain in 1q32.1 on CC samples. Furthermore, microarray analysis showed KISS1 as up-regulated genes. Results were validated showing an overexpression of 85% of KISS1 in CC samples.

conclusionsData suggest KISS1 as a great candidate for CC molecular markers or as a therapeutic target for CC. Also, HPV presence does not seem to alter the KISS1 expression in CC.

Indexed as

AdolescentAdultBiomarkers, TumorCell Line, TumorData MiningDisease ProgressionDNA Copy Number VariationsFemaleGene Expression Regulation, NeoplasticHumansKisspeptinsMexicoMiddle AgedPapillomavirus InfectionsTranscriptomeUterine Cervical NeoplasmsBiomarkers, TumorKISS1 protein, humanKisspeptinscervical cancerin-silico analysisKISS1molecular marker

Identifiers

PMID29914007
PMCPMC13078486
OpenAlexW2807743451

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.