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June-2024 Volume 53 Issue 6

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Review Open Access

Promising predictive molecular biomarkers for cervical cancer (Review)

  • Authors:
    • Marcela Lizano
    • Adela Carrillo‑García
    • Erick De La Cruz‑Hernández
    • Leonardo Josué Castro‑Muñoz
    • Adriana Contreras‑Paredes
  • View Affiliations / Copyright

    Affiliations: Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico, Laboratorio de Investigación en Enfermedades Metabólicas e Infecciosas, División Académica Multidisciplinaria de Comalcalco, Universidad Juárez Autónoma de Tabasco, Ranchería Sur Cuarta Sección, Comalcalco City, Tabasco 86650, Mexico, The Wistar Institute, Philadelphia, PA 19104, USA
    Copyright: © Lizano et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 50
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    Published online on: April 4, 2024
       https://doi.org/10.3892/ijmm.2024.5374
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Abstract

Cervical cancer (CC) constitutes a serious public health problem. Vaccination and screening programs have notably reduced the incidence of CC worldwide by >80%; however, the mortality rate in low‑income countries remains high. The staging of CC is a determining factor in therapeutic strategies: The clinical management of early stages of CC includes surgery and/or radiotherapy, whereas radiotherapy and/or concurrent chemotherapy are the recommended therapeutic strategies for locally advanced CC. The histopathological characteristics of tumors can effectively serve as prognostic markers of radiotherapy response; however, the efficacy rate of radiotherapy may significantly differ among cancer patients. Failure of radiotherapy is commonly associated with a higher risk of recurrence, persistence and metastasis; therefore, radioresistance remains the most important and unresolved clinical problem. This condition highlights the importance of precision medicine in searching for possible predictive biomarkers to timely identify patients at risk of treatment response failure and provide tailored therapeutic strategies according to genetic and epigenetic characteristics. The present review aimed to summarize the evidence that supports the role of several proteins, methylation markers and non‑coding RNAs as potential predictive biomarkers for CC.
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Copy and paste a formatted citation
Spandidos Publications style
Lizano M, Carrillo‑García A, De La Cruz‑Hernández E, Castro‑Muñoz LJ and Contreras‑Paredes A: Promising predictive molecular biomarkers for cervical cancer (Review). Int J Mol Med 53: 50, 2024.
APA
Lizano, M., Carrillo‑García, A., De La Cruz‑Hernández, E., Castro‑Muñoz, L.J., & Contreras‑Paredes, A. (2024). Promising predictive molecular biomarkers for cervical cancer (Review). International Journal of Molecular Medicine, 53, 50. https://doi.org/10.3892/ijmm.2024.5374
MLA
Lizano, M., Carrillo‑García, A., De La Cruz‑Hernández, E., Castro‑Muñoz, L. J., Contreras‑Paredes, A."Promising predictive molecular biomarkers for cervical cancer (Review)". International Journal of Molecular Medicine 53.6 (2024): 50.
Chicago
Lizano, M., Carrillo‑García, A., De La Cruz‑Hernández, E., Castro‑Muñoz, L. J., Contreras‑Paredes, A."Promising predictive molecular biomarkers for cervical cancer (Review)". International Journal of Molecular Medicine 53, no. 6 (2024): 50. https://doi.org/10.3892/ijmm.2024.5374
Copy and paste a formatted citation
x
Spandidos Publications style
Lizano M, Carrillo‑García A, De La Cruz‑Hernández E, Castro‑Muñoz LJ and Contreras‑Paredes A: Promising predictive molecular biomarkers for cervical cancer (Review). Int J Mol Med 53: 50, 2024.
APA
Lizano, M., Carrillo‑García, A., De La Cruz‑Hernández, E., Castro‑Muñoz, L.J., & Contreras‑Paredes, A. (2024). Promising predictive molecular biomarkers for cervical cancer (Review). International Journal of Molecular Medicine, 53, 50. https://doi.org/10.3892/ijmm.2024.5374
MLA
Lizano, M., Carrillo‑García, A., De La Cruz‑Hernández, E., Castro‑Muñoz, L. J., Contreras‑Paredes, A."Promising predictive molecular biomarkers for cervical cancer (Review)". International Journal of Molecular Medicine 53.6 (2024): 50.
Chicago
Lizano, M., Carrillo‑García, A., De La Cruz‑Hernández, E., Castro‑Muñoz, L. J., Contreras‑Paredes, A."Promising predictive molecular biomarkers for cervical cancer (Review)". International Journal of Molecular Medicine 53, no. 6 (2024): 50. https://doi.org/10.3892/ijmm.2024.5374
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