Vol. 22 No. 8 (2012)
Artículos de Investigación

A new synthesis to diagnose cervical cancer

Esther Guadalupe González-Ramírez
Universidad Autonoma de Ciudad Juarez
Bio
Luis Roberto Alarcón-Morales
Universidad Autonoma de Ciudad Juarez
Bio
Alejandro Martínez-Martínez
Departamento de Ciencias Quimico Biologicas Instituto de Ciencias Biomedicas, Universidad Autonoma de Ciudad Juarez
Bio

Published 2012-12-30

Keywords

  • CaCu,
  • LDMAS,
  • modelo multivariado,
  • algoritmo,
  • marcadores pronósticos,
  • evaluación integral
  • ...More
    Less
  • Cervical cancer,
  • multivariate model,
  • algorithm,
  • genetic markers,
  • holistic diagnosis

How to Cite

González-Ramírez, E. G., Alarcón-Morales, L. R., & Martínez-Martínez, A. (2012). A new synthesis to diagnose cervical cancer. Acta Universitaria, 22(8), 19–25. https://doi.org/10.15174/au.2012.373

Abstract

The current condition of epidemiological and genetic knowledge of the cervical cancer (CC), as well as the development of probabilistic algorithms, allows the approximation of holistic diag­nosis of the CC. It is necessary to consider the interactions between the genome of the host, the viral genomes and the clinical factors of epidemiological risk. This review is divided into four sections: 1) the holistic tools for multivariate model of CC are described; 2) the genetic markers associated with susceptibility to malignant progression of cervical squamous intraepithelial lesions to CC development are explored; 3) the Human Papillomavirus (HPV) as the essential element for CC development is exposed; finally, 4) the clinical factors of risk associated with CC development are considered, such as smoking, sexual habits and risky sexual behavior, sexually transmitted infections and multiparity.