Molecular diversity in ductal carcinoma <i>in situ</i> (DCIS) and early invasive breast cancer

Molecular Oncology - Tập 4 Số 4 - Trang 357-368 - 2010
Aslaug Muggerud1,2,3, Michael Hallett4,5, Hilde Johnsen1, Kristine Kleivi Sahlberg1,6, Wenjing Zhou7, Simin Tahmasebpoor8, Rose‐Marie Amini9, Johan Botling8, Anne‐Lise Børresen‐Dale1,2, Thérese Sørlie1,10, Fredrik Wärnberg7
1Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Montebello, 0310 Oslo, Norway,
2Institute of Clinical Medicine, University of Oslo, Norway
3Present address: Oslo MS Genetics Group, Department of Neurology, Oslo University Hospital and University of Oslo, Oslo, Norway.
4Goodman Cancer Centre, McGill University, Québec, Canada
5McGill Centre for Bioinformatics, McGill University, Québec, Canada
6Medical Biotechnology, VTT Technical Research Centre of Finland, Turku, Finland
7Department of Surgery Uppsala University Hospital, Sweden
8Department of Genetics and Pathology, Uppsala University Hospital, Sweden
9Department of Oncology and Pathology, Karolinska University Hospital, Sweden
10Department of Informatics, University of Oslo, Norway

Tóm tắt

AbstractDuctal carcinoma in situ (DCIS) is a non‐invasive form of breast cancer where cells restricted to the ducts exhibit an atypical phenotype. Some DCIS lesions are believed to rapidly transit to invasive ductal carcinomas (IDCs), while others remain unchanged. Existing classification systems for DCIS fail to identify those lesions that transit to IDC. We studied gene expression patterns of 31 pure DCIS, 36 pure invasive cancers and 42 cases of mixed diagnosis (invasive cancer with an in situ component) using Agilent Whole Human Genome Oligo Microarrays 44k. Six normal breast tissue samples were also included as controls. qRT‐PCR was used for validation. All DCIS and invasive samples could be classified into the “intrinsic” molecular subtypes defined for invasive breast cancer. Hierarchical clustering establishes that samples group by intrinsic subtype, and not by diagnosis. We observed heterogeneity in the transcriptomes among DCIS of high histological grade and identified a distinct subgroup containing seven of the 31 DCIS samples with gene expression characteristics more similar to advanced tumours. A set of genes independent of grade, ER‐status and HER2‐status was identified by logistic regression that univariately classified a sample as belonging to this distinct DCIS subgroup. qRT‐PCR of single markers clearly separated this DCIS subgroup from the other DCIS, and contains samples from several histopathological and intrinsic molecular subtypes. The genes that differentiate between these two types of DCIS suggest several processes related to the re‐organisation of the microenvironment. This raises interesting possibilities for identification of DCIS lesions both with and without invasive characteristics, which potentially could be used in clinical assessment of a woman's risk of progression, and lead to improved management that would avoid the current over‐ and under‐treatment of patients.

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