Effects of JWA, XRCC1 and BRCA1 mRNA expression on molecular staging for personalized therapy in patients with

Bin Wei1, Qin Han2, Lijuan Xu3

  • 1Department of Medical Oncology, Huai'an First People's Hospital, Nanjing Medical University, Huai'an, 223300, China. wb_934@163.com.

BMC Cancer
|May 1, 2015
PubMed
Abstract

Insights

High expression of JWA and XRCC1 DNA repair genes predicts better survival in advanced esophageal squamous cell carcinoma (ESCC). These genes, along with BRCA1, can guide personalized cisplatin or docetaxel therapy choices.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • DNA damage repair genes JWA, XRCC1, and BRCA1 are linked to cancer outcomes.
  • Their combined impact on personalized therapy for advanced esophageal squamous cell carcinoma (ESCC) is not well understood.

Purpose of the Study:

  • To investigate the synergistic effects of JWA, XRCC1, and BRCA1 mRNA expression on clinical outcomes.
  • To evaluate their role as predictive markers for personalized therapy in advanced ESCC.

Main Methods:

  • Quantitative real-time polymerase chain reaction (qPCR) was used to measure JWA, XRCC1, and BRCA1 mRNA levels.
  • The study analyzed specimens from 172 patients with advanced ESCC receiving first-line cisplatin- or docetaxel-based chemotherapy.

Main Results:

  • High JWA or XRCC1 mRNA expression correlated with longer overall survival (OS) in ESCC patients, independent of treatment regimen.
  • JWA and XRCC1 mRNA levels were identified as independent prognostic factors for ESCC.
  • Cisplatin therapy improved OS in patients with low JWA expression, particularly those with low BRCA1.
  • High BRCA1 expression was associated with improved OS in patients with high JWA expression receiving docetaxel therapy.

Conclusions:

  • JWA, XRCC1, and BRCA1 mRNA expression levels can serve as predictive biomarkers.
  • These markers aid in molecular staging for personalized treatment strategies in advanced ESCC patients.
  • Findings support tailored therapeutic approaches based on individual gene expression profiles.

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