Metaplastic breast carcinomas display genomic and transcriptomic heterogeneity
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ABSTRACT:
PROVIDER: PRJNA246688 | ENA |
REPOSITORIES: ENA
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Project description:Metaplastic breast carcinoma is a rare and aggressive histologic type of breast cancer, preferentially displaying a triple-negative phenotype. We sought to define the transcriptomic heterogeneity of metaplastic breast cancers on the basis of current gene expression microarray-based classifiers, and to determine whether these tumors display gene copy number profiles consistent with those of BRCA1-associated breast cancers. Twenty-eight consecutive triple-negative metaplastic breast carcinomas were reviewed, and the metaplastic component present in each frozen specimen was defined (ie, spindle cell, squamous, chondroid metaplasia). RNA and DNA extracted from frozen sections with tumor cell content >60% were subjected to gene expression (Illumina HumanHT-12 v4) and copy number profiling (Affymetrix SNP 6.0), respectively. Using the best practice PAM50/claudin-low microarray-based classifier, all metaplastic breast carcinomas with spindle cell metaplasia were of claudin-low subtype, whereas those with squamous or chondroid metaplasia were preferentially of basal-like subtype. Triple-negative breast cancer subtyping using a dedicated website (http://cbc.mc.vanderbilt.edu/tnbc/) revealed that all metaplastic breast carcinomas with chondroid metaplasia were of mesenchymal-like subtype, spindle cell carcinomas preferentially of unstable or mesenchymal stem-like subtype, and those with squamous metaplasia were of multiple subtypes. None of the cases was classified as immunomodulatory or luminal androgen receptor subtype. Integrative clustering, combining gene expression and gene copy number data, revealed that metaplastic breast carcinomas with spindle cell and chondroid metaplasia were preferentially classified as of integrative clusters 4 and 9, respectively, whereas those with squamous metaplasia were classified into six different clusters. Eight of the 26 metaplastic breast cancers subjected to SNP6 analysis were classified as BRCA1-like. The diversity of histologic features of metaplastic breast carcinomas is reflected at the transcriptomic level, and an association between molecular subtypes and histology was observed. BRCA1-like genomic profiles were found only in a subset (31%) of metaplastic breast cancers, and were not associated with a specific molecular or histologic subtype.
| S-EPMC4523239 | biostudies-literature
Project description:Genomic aberrations in metaplastic breast carcinomas and adenomyoepitheliomas
| PRJNA419961 | ENA
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series The SNP and expression datasets represent the same samples (i.e., the 26 SNP6 samples are a subset of the 28 expression samples)
2014-10-31 | E-GEOD-57549 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2014-10-31 | GSE57549 | GEO
Project description:SNP6 profiling of metaplastic breast carcinoma Metaplastic breast carcinoma (MBC) is a rare and aggressive histologic type of breast cancer, preferentially displaying a triple-negative phenotype (i.e. lacking estrogen receptor, progesterone receptor and HER2 expression). We sought to define the transcriptomic heterogeneity of MBCs on the basis of current gene expression microarray-based classifiers and to determine whether MBCs display gene copy number profiles consistent with those of BRCA1-associated breast cancers.
2014-10-31 | E-GEOD-57548 | biostudies-arrayexpress
Project description:Metaplastic breast cancer (MBC) is a rare special histologic type of triple-negative breast cancer, characterized by the presence of neoplastic cells showing differentiation towards squamous epithelium and/or mesenchymal elements. Here we sought to define whether histologically distinct subgroups of MBCs would be underpinned by distinct genomic and/or transcriptomic alterations. Microarray-based copy number profiling identified limited but significant differences between the distinct MBC subtypes studied here, despite the limited sample size (n?=?17). In particular, we found that, compared to MBCs with chondroid or squamous cell metaplasia, MBCs with spindle cell differentiation less frequently harbored gain of 7q11.22-23 encompassing CLDN3 and CLDN4, consistent with their lower expression of claudins and their association with the claudin-low molecular classification. Microarray-based and RNA-sequencing-based gene expression profiling revealed that MBCs with spindle cell differentiation differ from MBCs with chondroid or squamous cell metaplasia on the expression of epithelial-to-mesenchymal transition-related genes, including down-regulation of CDH1 and EPCAM. In addition, RNA-sequencing revealed that the histologic patterns observed in MBCs are unlikely to be underpinned by a highly recurrent expressed fusion gene or a pathognomonic expressed mutation in cancer genes. Loss of PTEN expression or mutations affecting PIK3CA or TSC2 observed in 8/17 MBCs support the contention that PI3K pathway activation plays a role in the development of MBCs. Our data demonstrate that despite harboring largely similar patterns of gene copy number alterations, MBCs with spindle cell, chondroid and squamous differentiation are distinct at the transcriptomic level but are unlikely to be defined by specific pathognomonic genetic alterations.
| S-EPMC5711926 | biostudies-literature
Project description:Metaplastic breast carcinoma (MpBC) typically consists of carcinoma of no special type (NST) with various metaplastic components. The intracase transcriptomic alterations between metaplastic components and paired NST components, which are critical for understanding the pathogenesis underlying the metaplastic processes, remain unclear. Herein, 59 NST components and paired metaplastic components (spindle sarcomatous [SPS], matrix-producing, rhabdomyoid [RHA], and squamous carcinomatous [SQC] components) were microdissected from specimens obtained from 27 patients with MpBC for gene expression profiling. Hierarchical clustering and principal component analysis revealed a heterogeneous gene expression profile (GEP) corresponding to the NST components, but the GEP of metaplastic components exhibited subtype dependence. Compared with the paired NST components, the SPS components demonstrated the upregulation of genes related to stem cells and epithelial–mesenchymal transition, and displayed enrichment in claudin-low and macrophage signatures. Despite certain overlap in the enriched functions and signatures between the RHA and SPS components, the specific differentially expressed genes differed. We observed the RHA-specific upregulation of genes associated with vascular endothelial growth factor signaling. The chondroid matrix-producing components demonstrated the upregulation of hypoxia-related genes and the downregulation of the immune-related MHC2 signature and the TIGIT gene. In the SQC components, TGF-β and genes associated with cell adhesion were upregulated. The differentially expressed genes among metaplastic components in the 22 MpBC cases with one or predominantly one metaplastic component clustered paired NST samples into clusters with correlation with their associated metaplastic types. These genes could be used to separate the 31 metaplastic components according to respective metaplastic types with an accuracy of 74.2%, suggesting that intrinsic signatures of NST may determine paired metaplastic type. The EMT activity and stem cell traits in the NST components were correlated with specimens displaying lymph node metastasis. In summary, we presented the distinct transcriptomic alterations underlying metaplasia into specific metaplastic components in MpBCs.
2023-01-31 | GSE212245 | GEO
Project description:In this project we have used single cell RNA-seq to profile pancreatic cancer development in a mouse model, from pre-invasive stage to cancer, and in human PDAC sample. Using a reporter gene, we were able to dissect metaplastic acinar cell heterogeneity, profiled six different acinar metaplastic cell types and states, validated their localization to pre-invasive lesions and correlated findings with human PDAC. In addition, we detected transcription factors, Onecut2 and Foxq1, that strictly expressed in metaplastic cells.
2020-07-31 | GSE141017 | GEO
Project description:SNP6 profiling of metaplastic breast carcinoma
2014-10-31 | GSE57548 | GEO
Project description:Breast cancer cells and two metaplastic breast cancer cell lines were used: a widely available, HS578T, and a novel line isolated from a metaplastic breast cancer tumor, BAS. Doxorubicin and paclitaxel resistant derivatives of these metaplastic lines were generated and miR profiling performed.
2023-01-29 | GSE144445 | GEO