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Virtual Microdissection of Pancreatic Ductal Adenocarcinoma Reveals Tumor and Stroma Subtypes.

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have identified and validated two tumor-specific subtypes including a â€œbasal-likeâ€ subtype which has worse outcome, and is molecularly similar to basal tumors in bladder and breast cancer. Furthermore, we define 'normal' and 'activated' stromal subtypes which are independently prognostic. Our results provide new insight into the molecular composition of PDAC which may be used to tailor therapies or provide decision support in a clinical setting where the choice and timing of therapies is critical.

ORGANISM(S): Homo sapiens

PROVIDER: GSE71729 | GEO | 2015/09/07

SECONDARY ACCESSION(S): PRJNA293520

REPOSITORIES: GEO

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Virtual Microdissection of Pancreatic Ductal Adenocarcinoma Reveals Tumor and Stroma Subtypes.

Project description:Pancreatic ductal adenocarcinoma (PDAC) remains a lethal disease with a 5-year survival of 4%. A key hallmark of PDAC is extensive stromal involvement, which makes capturing precise tumor-specific molecular information difficult. Here, we have overcome this problem by applying blind source separation to a diverse collection of PDAC gene expression microarray data, which includes primary, metastatic, and normal samples. By digitally separating tumor, stroma, and normal gene expression, we have identified and validated two tumor-specific subtypes including a â€œbasal-likeâ€ subtype which has worse outcome, and is molecularly similar to basal tumors in bladder and breast cancer. Furthermore, we define 'normal' and 'activated' stromal subtypes which are independently prognostic. Our results provide new insight into the molecular composition of PDAC which may be used to tailor therapies or provide decision support in a clinical setting where the choice and timing of therapies is critical. Analysis of the landscape of gene expression in pancreatic adenocarcinoma. Data include 145 primary and 61 metastatic PDAC tumors, 17 cell lines, 46 pancreas and 88 distant site adjacent normal samples. Arrays represent distinct samples. The SPOT column in the raw data file (linked to each sample record) contains Agilent feature extraction numbers (included in the 'GPL4133-20424.txt' linked to the platform records).

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Project description:Pancreatic ductal adenocarcinoma (PDAC) is extraordinarily chemoresistant and the abundant stromal content of these tumors contributes to the ineffective treatment of this disease. While the genetic alterations of PDAC have been well characterized, the epigenetic pathways regulating PDAC remain, for the most part, elusive. Employing an in vivo shRNA screen targeting epigenetic regulators, we identified members of the BET family of chromatin adaptors as key regulators of PDAC cell growth and maintenance of the tumor stroma. BET family members contribute to PDAC cell growth by modulating the activity of two key transcriptional programs, MYC and GLI. Within the cancer cells, BET inhibition also results in down-regulation of a key mediator of the tumor microenvironment, SHH, corresponding to a decrease in the stromal content of tumors. Taken together, these results suggest that therapeutic inhibition of BET proteins offers a novel mechanism to target both the neoplastic and stromal components of PDAC. Total RNA was isolated from 4 untreated PDAC cell lines or those exposedto the BET bromodomain inhibibitor CPI203 (1.6 uM) or control DMSO for 5 and 10 hours

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