Mutation analysis of EGFR and its correlation with the HPV in Indian cervical cancer patients

Rehana Qureshi1, Himanshu Arora2, Shilpi Biswas1

  • 1Department of Biosciences, Genome Biology Laboratory, Jamia Millia Islamia, New Delhi, India.

Insights

EGFR mutations are present in over 30% of cervical cancer patients, particularly in exon 20. These mutations suggest potential sensitivity to tyrosine kinase inhibitors (TKIs) like gefitinib, offering new treatment avenues for Indian cervical cancer patients.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Cervical cancer remains a significant global health issue, especially in developing nations.
  • Somatic mutations in the epidermal growth factor receptor (EGFR) gene's tyrosine kinase domain are linked to enhanced sensitivity to tyrosine kinase inhibitors (TKIs).

Purpose of the Study:

  • To investigate the prevalence of EGFR mutations in cervical cancer.
  • To explore the correlation between EGFR mutations and Human Papillomavirus (HPV) infection.
  • To assess the potential of TKIs in treating cervical cancer based on EGFR mutation status.

Main Methods:

  • Analysis of EGFR gene mutations in 95 cervical cancer patients.
  • Detection of HPV DNA (HPVL1, HPV16, HPV18) in patient samples.
  • Evaluation of the sensitivity of mutated cervical cancer cell lines to the TKI gefitinib.

Main Results:

  • EGFR mutations were detected in 32.63% of patients, with a high prevalence in exon 20 (25.26%).
  • HPV was highly prevalent (95.78%), but no significant correlation was found between HPV16 and EGFR mutations (p=0.0616).
  • Cervical cancer cell lines with specific EGFR mutations (e.g., Q787Q) exhibited increased sensitivity to gefitinib.

Conclusions:

  • EGFR mutations are common in Indian cervical cancer patients and may predict response to TKIs.
  • Targeted therapies involving TKIs could be a promising treatment strategy for a subset of cervical cancer patients.
  • Further research is warranted to explore the clinical utility of EGFR mutation analysis in cervical cancer management.