4.8 Article

Gene expression signatures of individual ductal carcinoma in situ lesions identify processes and biomarkers associated with progression towards invasive ductal carcinoma

Journal

NATURE COMMUNICATIONS
Volume 13, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-022-30573-4

Keywords

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Funding

  1. Department of Defence Breast Cancer [W81XWH-14-1-0110 (BC132150), W81XWH-14-1-0111 (BC132150P1)]
  2. Cancer Research UK [A21143]
  3. Royal Society Wolfson Research Professor [G105697]

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Ductal carcinoma in situ (DCIS) is a non-invasive precursor to breast cancer, and the progression to invasive ductal carcinoma (IDC) is not well understood. Gene expression analysis reveals a progressive loss in basal layer integrity and two epithelial to mesenchymal transitions during the progression from DCIS to IDC. Potential biomarkers associated with this progression have been identified.
Ductal carcinoma in situ (DCIS) is considered a non-invasive precursor to breast cancer, and although associated with an increased risk of developing invasive disease, many women with DCIS will never progress beyond their in situ diagnosis. The path from normal duct to invasive ductal carcinoma (IDC) is not well understood, and efforts to do so are hampered by the substantial heterogeneity that exists between patients, and even within patients. Here we show gene expression analysis from > 2,000 individually micro-dissected ductal lesions representing 145 patients. Combining all samples into one continuous trajectory we show there is a progressive loss in basal layer integrity heading towards IDC, coupled with two epithelial to mesenchymal transitions, one early and a second coinciding with the convergence of DCIS and IDC expression profiles. We identify early processes and potential biomarkers, including CAMK2N1, MNX1, ADCY5, HOXC11 and ANKRD22, whose reduced expression is associated with the progression of DCIS to invasive breast cancer. Progression from ductal carcinoma in situ (DCIS) to invasive ductal carcinoma (IDC) remains poorly understood. Here, the authors analyse over 2700 micro-dissected samples using transcriptomics to identify genes that characterise different stages of DCIS to IDC progression, and identify IDC-associated markers within early-stage lesions.

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