Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Molecular Signature of Pregnancy Associated Breast Cancer (PABC)

ABSTRACT: Malignant epithelia and tumor-associated stroma of PABC and Non-PABC were isolated by laser capture microdissection and gene expression profiled. Additionally, normal breast epithelia and stroma adjacent to the two tumor types were profiled. Lastly, subsets of previously identified E- and P-regulated genes were defined in all tissues. Breast cancers have been obtained from women whose tumors arose while they were pregnant or within 1 year of delivery and from age-matched controls who had never been pregnant. Malignant epithelial cells were separated by laser capture microdissection (LCM) of frozen sections. RNA was isolated and analyzed by expression profiling using Affymetrix U133 2plus Human Gene Chips

ORGANISM(S): Homo sapiens

SUBMITTER: Jihye Kim

PROVIDER: E-GEOD-31192 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Genomic signatures of pregnancy-associated breast cancer epithelia and stroma and their regulation by estrogens and progesterone.

Harvell Djuana M E DM Kim Jihye J O'Brien Jenean J Tan Aik-Choon AC Borges Virginia F VF Schedin Pepper P Jacobsen Britta M BM Horwitz Kathryn B KB

Hormones & cancer 20130312 3

Pregnancy-associated breast cancers (PABC) generally present at advanced stages and have a poor prognosis. The reasons are unclear but we hypothesized that the continuous high levels of estrogens and progesterone were involved. We have now carried out a detailed analysis of PABC compared to tumors of age-matched nonpregnant (non-PABC) women. Malignant epithelia and tumor-associated stroma of PABC and non-PABC were isolated by laser capture microdissection and gene expression profiled. Additional ...[more]

PMID: 23479404

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Project description:A data set of normal epithelium, serous ovarian surface epithelial-stromal tumors (benign and type II malignancies), stroma distal to tumor, and stroma adjacent to tumor (50 samples total). Additional cel files are included which represent replicate sampling from patients, and cel files that failed quality control but may be bioinformatically interesting. Additional replicate or failed cel files were not included in the final analysis (and so these samples were not included in the matrix). Background: Ovarian cancer is the most lethal gynecologic cancer in the United States. If caught in early stages, patient survival rate can reach 94%, when diagnosed at late stages survival rates drop to 28%. Correct diagnosis depends on the presence of definite symptoms: while ~90% of diagnosed ovarian cancers have symptoms, they tend to be unfocused and subacute. A definitive and early molecular signature of disease is thus desired. To further progress towards this goal, we present an Affymetrix™ human exon array data set measuring ovarian tumor expression, assembled using best practices. Method: Samples were collected from patients with benign and malignant (type II) serous ovarian surface epithelial-stromal tumors. Normal epithelium, tumor, stroma adjacent to tumor, and distal stroma were selected based on histopathology, and isolated using laser capture microdissection. Nugen products were used to perform random-primed mRNA amplification procedures (for full transcript capture) before hybridization to Affymetrix exon chips. Tumor expression and paracrine signaling was assessed using GC-RMA and a two-way Model I ANOVA. Single enrichment ontological analysis and gene network construction were performed to guide inferences about biological context. Results: In total, across 50 microarrays, ~270 million measurements were obtained. Based on comparisons to known ovarian cancer properties as established in molecular genetics literature, the initial analysis presented emphasizes data quality. Major trends between sample classes included: apical surface and tight junction activity, mitotic activity, benign tumor suppression, epithelial-mesenchymal transitioning, tumor oncogene activity, and paracrine signaling. A list of differentially expressed transcripts has been produced to enable rapid comparisons with published biomarker lists, but it is expected that detailed alternative transcript analysis will refine these predictions. Conclusions: A data set of 50 arrays, from carefully dissected serous ovarian surface epithelial-stromal tumors, has been produced, from which high quality measurements were obtained. While relatively small in number, this represents an important addition to the community pool of ovarian tumor samples, and the chosen platform enables bridging between 3' expression and exome sequencing data sets. This represents a significant contribution to the ovarian cancer genetics community. A total of 50 human ovary samples were used in analysis: 23 tissue samples laser capture microdissected from an ovary with a benign serous tumor (specifically 4 normal epithelium samples, 5 tumor samples, 6 stroma samples adjacent to the tumor, and 8 stroma samples distal of the tumor), and 27 tissue samples laser capture microdissected from an ovary with a malignant serous tumor (specifically 5 normal epithelium samples, 8 tumor samples, 7 stroma samples adjacent to the tumor, and 7 stroma samples distal of the tumor). Additional cel files were provided which, although were used in the quality control of the data set, were not used in the final experimental analysis. 8 replicates are included as cel files (1 from each cohort previously listed). 14 cel files were also included which failed quality control. Although the replicate and failed cel files were not used in the final analysis, they may still be interesting in other research.

Dataset Information

Molecular Signature of Pregnancy Associated Breast Cancer (PABC)

Publications

Genomic signatures of pregnancy-associated breast cancer epithelia and stroma and their regulation by estrogens and progesterone.

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