Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Microarray based gene expression for invasive lobular cancer samples (RATHER)

ABSTRACT: As part of the RATHER (RAtional THERapy for breast cancer: individualized treatment for difficult-to-treat breast cancer subtypes) consortium, expression profiling of 144 untreated primary invasive lobular carcinoma (ILC) breast cancer tissues and 15 ILC cell lines was performed using microarray. Gene expression profiling of 144 ILC breast cancers and 15 ILC cell lines

ORGANISM(S): Homo sapiens

SUBMITTER: InÃ¨s Goossens-Beumer

PROVIDER: E-GEOD-68057 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Integration of genomic, transcriptomic and proteomic data identifies two biologically distinct subtypes of invasive lobular breast cancer.

Michaut Magali M Chin Suet-Feung SF Majewski Ian I Severson Tesa M TM Bismeijer Tycho T de Koning Leanne L Peeters Justine K JK Schouten Philip C PC Rueda Oscar M OM Bosma Astrid J AJ Tarrant Finbarr F Fan Yue Y He Beilei B Xue Zheng Z Mittempergher Lorenza L Kluin Roelof J C RJ Heijmans Jeroen J Snel Mireille M Pereira Bernard B Schlicker Andreas A Provenzano Elena E Ali Hamid Raza HR Gaber Alexander A O'Hurley Gillian G Lehn Sophie S Muris Jettie J F JJ Wesseling Jelle J Kay Elaine E Sammut Stephen John SJ Bardwell Helen A HA Barbet Aurélie S AS Bard Floriane F Lecerf Caroline C O'Connor Darran P DP Vis Daniël J DJ Benes Cyril H CH McDermott Ultan U Garnett Mathew J MJ Simon Iris M IM Jirström Karin K Dubois Thierry T Linn Sabine C SC Gallagher William M WM Wessels Lodewyk F A LF Caldas Carlos C Bernards Rene R

Scientific reports 20160105

Invasive lobular carcinoma (ILC) is the second most frequently occurring histological breast cancer subtype after invasive ductal carcinoma (IDC), accounting for around 10% of all breast cancers. The molecular processes that drive the development of ILC are still largely unknown. We have performed a comprehensive genomic, transcriptomic and proteomic analysis of a large ILC patient cohort and present here an integrated molecular portrait of ILC. Mutations in CDH1 and in the PI3K pathway are the ...[more]

PMID: 26729235

Similar Datasets

Project description:Invasive lobular carcinoma (ILC) of the breast accounts for 5-15% of breast cancers and is characterized by loss of E-cadherin and believed to arise via a linear histological progression. Genomic studies have identified a clonal relationship between ILC and concurrent lobular carcinoma in situ (LCIS) lesions, suggesting that LCIS may be a precursor lesion. It has been shown that an LCIS diagnosis confers a 15-20% risk of progression to ILC, over a lifetime. Currently no molecular test or markers can identify LCIS lesions likely to progress to ILC. Since microRNA (miRNA) expression changes have been detected in a number of other cancer types, we explored whether their dysregulation might be detected during progression from LCIS to ILC. Using the Illumina miRNA profiling platform, designed for simultaneous analysis of 470 mature miRNAs, we analyzed the profiles of archived normal breast epithelium, LCIS lesions found alone, LCIS lesions concurrent with ILC, and the concurrent ILCs, as a model of linear histological progression toward ILC. We identified two sets of differentially expressed miRNAs, the first set highly expressed in normal epithelium, including hsa-miR-224, -139, -10b, -450, 140 and -365 and the second set upregulated during lobular neoplasia, including hsa-miR-375, -203, -425-5p, -183, -565 and -182. Using quantitative RT-PCR, we validated a trend of increased expression for hsa-mir-375, hsa-mir-182, and hsa-mir-183 correlating with ILC progression. As we detected increased expression of hsa-miR-375 in LCIS lesions synchronous with ILC, we sought to determine whether hsa-mir-375 might induce phenotypes reminiscent of lobular neoplasia by expressing it in the MCF10A 3D culture model of mammary acinar morphogenesis. Increased expression of hsa-miR-375 resulted in loss of cellular organization and acquisition of a hyperplastic phenotype. These data suggest that dysregulated miRNA expression contributes to lobular neoplastic progression. 6 specimens were analyzed in duplicate. One frozen normal lobular epithelium and the matched FFPE (1 month old) normal lobular epithelium. One lobular carcinoma in situ (LCIS) found alone, one LCIS synchronous with an invasive lobular carcinoma (ILC), the synchronous ILC (from a different archived block), and one ILC found alone without presence of any other breast cancer.

Dataset Information

Microarray based gene expression for invasive lobular cancer samples (RATHER)

Publications

Integration of genomic, transcriptomic and proteomic data identifies two biologically distinct subtypes of invasive lobular breast cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets