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Promising predictive molecular biomarkers for cervical cancer (Review)

  • 0Unidad de Investigación Biomédica en Cáncer, Instituto Nacional de Cancerología, Universidad Nacional Autónoma de México, Mexico City 14080, Mexico.
International Journal of Molecular Medicine +

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April 12, 2024

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April 12, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

Cervical cancer (CC) remains a global health challenge, especially in low-income nations. Identifying predictive biomarkers for radiotherapy response is crucial for precision medicine and improving CC treatment outcomes.

Area Of Science

  • Oncology
  • Genetics
  • Molecular Biology

Background

  • Cervical cancer (CC) presents a significant global health burden, with high mortality rates persisting in low-income countries despite reduced incidence due to vaccination and screening.
  • Treatment strategies for CC are stage-dependent, involving surgery, radiotherapy, and chemotherapy, but radiotherapy efficacy varies significantly among patients.
  • Radioresistance is a major clinical challenge, leading to recurrence, metastasis, and highlighting the need for predictive biomarkers to guide personalized treatment.

Approach

  • This review synthesizes current evidence on potential predictive biomarkers for cervical cancer radiotherapy response.
  • The focus is on identifying molecular markers, including proteins, DNA methylation patterns, and non-coding RNAs.
  • The aim is to support the development of precision medicine approaches for CC.

Key Points

  • Histopathological features can indicate radiotherapy response, but individual patient efficacy differs.
  • Radioresistance is a critical factor in CC treatment failure, driving recurrence and metastasis.
  • Proteins, methylation markers, and non-coding RNAs are emerging as promising predictive biomarkers for CC.

Conclusions

  • Identifying patients at risk of radiotherapy failure is essential for tailoring treatment strategies.
  • Predictive biomarkers can enable personalized medicine by considering genetic and epigenetic factors in CC.
  • Further research into these biomarkers could significantly improve therapeutic outcomes and reduce CC mortality.

Keywords: