Clinicopathological characteristics and prognostic analysis of PIK3CA mutation in breast cancer patients in Northwest China

  • Wei Lv
  • , Chong Du
  • , Yinbing Zhang
  • , Fei Wu
  • , Yaofeng Jin
  • , Xi Chen
  • , Xuan Liu
  • , Cong Feng
  • , Xingcong Ma
  • , Shuqun Zhang

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Purpose: Multiple studies on PIK3CA mutations in breast cancer (BC) had been performed, which showed the controversial results among different countries and races even those from the same country. The present study aimed to explore the PIK3CA gene mutation status in BC patients in Northwest China and reveal the relationship between PIK3CA mutations and clinicopathological features along with prognosis. Materials and methods: 1002 BC patients from Northwest China were recruited in this study, genomic DNA was extracted from formalin-fixed paraffin-embedded (FFPE) tumor tissues, and hotspot mutations in the exon 9 and 20 of PIK3CA gene were detected by ARMS-PCR. Results: PIK3CA mutations were found in 31.2% (313/1002) of BC patients, among them 66.1% were mutations in exon 20% and 32.6% were mutations in exon 9. H1047R was the most common mutation type, accounting for 56.5% of the total mutated samples. Significant correlations were observed between PIK3CA mutation status and age (P = 0.035), histopathologic types (P = 0.004), pathological grade (P = 0.013), ER positivity (P < 0.001), PR positivity (P < 0.001), molecular subtypes (P = 0.004) and family history (P = 0.007). Cox multivariate analysis showed that patients with mutations in exon 9 or 20 had shorter DFS and OS than wild-type patients. Those with exon 9 mutations subgroup had the worst prognosis. Interestingly, patients with H1047L mutation had the best prognosis than others. Conclusion: PIK3CA mutations could be used as an indicator of clinical outcome or targeted therapy for multiple breast cancer subgroups in Northwest China.

Original languageEnglish
Article number154063
JournalPathology Research and Practice
Volume238
DOIs
StatePublished - Oct 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast cancer
  • Northwest China
  • PIK3CA mutation
  • Prognosis
  • Targeted therapy

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