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High prevalence of somatic PIK3CA and TP53 pathogenic variants in the normal mammary gland tissue of sporadic breast cancer patients revealed by duplex sequencing

  • Anna Kostecka
  • , Tomasz Nowikiewicz
  • , Paweł Olszewski
  • , Magdalena Koczkowska
  • , Monika Horbacz
  • , Monika Heinzl
  • , Maria Andreou
  • , Renato Salazar
  • , Theresa Mair
  • , Piotr Madanecki
  • , Magdalena Gucwa
  • , Hanna Davies
  • , Jarosław Skokowski
  • , Patrick G. Buckley
  • , Rafał Pęksa
  • , Ewa Śrutek
  • , Łukasz Szylberg
  • , Johan Hartman
  • , Michał Jankowski
  • , Wojciech Zegarski
  • Irene Tiemann-Boege, Jan P. Dumanski, Arkadiusz Piotrowski

Research output: Working paper and reportsPreprint

Abstract

The mammary gland undergoes hormonally stimulated cycles of proliferation, lactation and involution. We hypothesized that these factors increase the mutational burden in glandular tissue and may explain high cancer incidence rate in the general population and recurrent disease. Hence, we investigated the DNA sequence variants in the normal mammary gland, tumor and peripheral blood from 52 reportedly sporadic breast cancer patients, including breast-conserving surgery cases. Targeted resequencing of 542 cancer associated genes revealed mosaic somatic pathogenic variants of: PIK3CA, TP53, AKT1, MAP3K1, CDH1, RB1, NCOR1, MED12, CBFB, TBX3 and TSHR in the normal mammary gland, at considerable allelic frequencies (9×10−2 to 5.2×10−1) indicating clonal expansion. Further evaluation of the frequently damaged PIK3CA and TP53 genes by ultra-sensitive duplex sequencing demonstrated a diversified picture of multiple low level-mosaic (in 10−2 to 10−4 alleles) hotspot pathogenic variants. Our results raise a question about the oncogenic potential in non-tumor mammary gland tissue of breast-conserving surgery patients.
Original languageEnglish
Number of pages35
DOIs
Publication statusPublished - Sept 2021

Publication series

NamemedRxiv

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

Fields of science

  • 106013 Genetics
  • 106023 Molecular biology
  • 301904 Cancer research

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