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Molecular portraits of human breast tumours
TLDR
Variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals were characterized using complementary DNA microarrays representing 8,102 human genes, providing a distinctive molecular portrait of each tumour.
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications
TLDR
Survival analyses on a subcohort of patients with locally advanced breast cancer uniformly treated in a prospective study showed significantly different outcomes for the patients belonging to the various groups, including a poor prognosis for the basal-like subtype and a significant difference in outcome for the two estrogen receptor-positive groups.
Repeated observation of breast tumor subtypes in independent gene expression data sets
TLDR
The results strongly support the idea that many of these breast tumor subtypes represent biologically distinct disease entities.
Microarray analysis reveals a major direct role of DNA copy number alteration in the transcriptional program of human breast tumors
TLDR
Evidence is provided that widespread DNA copy number alteration can lead directly to global deregulation of gene expression, which may contribute to the development or progression of cancer.
Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival.
TLDR
It is shown that both overall survival and distant metastasis-free survival are markedly diminished in patients whose tumors expressed this wound-response signature compared to tumors that did not express this signature.
Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene‐expression subtypes of breast cancer
TLDR
A genome‐wide array‐based comparative genomic hybridization (array CGH) survey of CNAs in 89 breast tumors from a patient cohort with locally advanced disease links distinct cytoband loci harboring CNAs to specific clinicopathological parameters, including tumor grade, estrogen receptor status, presence of TP53 mutation, and overall survival.
Database of p53 gene somatic mutations in human tumors and cell lines.
A data base is described in which over 2,500 mutations in the p53 gene of human tumors and tumor cell lines are compiled from a systematic search of reports published before 1 January 1994. Data from
Molecular subclasses of breast cancer: how do we define them? The IMPAKT 2012 Working Group Statement.
TLDR
It is concluded that breast cancer classification into molecular subtypes based on the IHC assessment of ER, HER2 and Ki67 with a 14% cut-off and on the PAM50 test does not provide sufficiently robust information to modify systemic treatment decisions, and recommended the use IHC for ER and HER2 for the identification of clinically relevant subtypes of breast cancers.
Gene expression patterns in ovarian carcinomas.
TLDR
Although estrogen receptor was expressed in both the ovarian and breast cancers, genes that are coregulated with the estrogen receptor in breast cancers did not show a similar pattern of coexpression in the ovarian cancers.
Extracellular matrix signature identifies breast cancer subgroups with different clinical outcome
TLDR
It is suggested that primary breast tumours can be classified on the basis of the expression of extracellular matrix (ECM) composition and that this classification provides relevant information on the biology of breast carcinomas, further supporting the hypothesis that clinical outcome is strongly related to stromal characteristics.
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