Integrated genomic analysis of pancreatic ductal adenocarcinomas reveals genomic rearrangement events as significant drivers of disease

Stephen J. Murphy, Steven Hart, Geoffrey C. Halling, Sarah H. Johnson, James Smadbeck, Travis Drucker, Joema Felipe Lima, Fariborz Rakhshan Rohakhtar, Faye R. Harris, Farhad Kosari, Subbaya Subramanian, Gloria M Petersen, Timothy D. Wiltshire, Benjamin R. Kipp, Mark Truty, Robert R Mc Williams, Fergus J Couch, George Vasmatzis

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Many somatic mutations have been detected in pancreatic ductal adenocarcinoma (PDAC), leading to the identification of some key drivers of disease progression, but the involvement of large genomic rearrangements has often been overlooked. In this study, we performed mate pair sequencing (MPseq) on genomic DNA from 24 PDAC tumors, including 15 lasercaptured microdissected PDAC and 9 patient-derived xenografts, to identify genome-wide rearrangements. Large genomic rearrangements with intragenic breakpoints altering key regulatory genes involved in PDAC progression were detected in all tumors. SMAD4, ZNF521, and FHIT were among the most frequently hit genes. Conversely, commonly reported genes with copy number gains, including MYC and GATA6, were frequently observed in the absence of direct intragenic breakpoints, suggesting a requirement for sustaining oncogenic function during PDAC progression. Integration of data from MPseq, exome sequencing, and transcriptome analysis of primary PDAC cases identified limited overlap in genes affected by both rearrangements and point mutations. However, significant overlap was observed in major PDAC-associated signaling pathways, with all PDAC exhibiting reduced SMAD4 expression, reduced SMAD-dependent TGFβ signaling, and increased WNT and Hedgehog signaling. The frequent loss of SMAD4 and FHIT due to genomic rearrangements strongly implicates these genes as key drivers of PDAC, thus highlighting the strengths of an integrated genomic and transcriptomic approach for identifying mechanisms underlying disease initiation and progression.

Original languageEnglish (US)
Pages (from-to)749-761
Number of pages13
JournalCancer Research
Volume76
Issue number3
DOIs
StatePublished - Feb 1 2016

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Adenocarcinoma
Disease Progression
Genes
Exome
Gene Dosage
Gene Expression Profiling
Regulator Genes
Point Mutation
Heterografts
Neoplasms
Genome
Mutation
DNA

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

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Integrated genomic analysis of pancreatic ductal adenocarcinomas reveals genomic rearrangement events as significant drivers of disease. / Murphy, Stephen J.; Hart, Steven; Halling, Geoffrey C.; Johnson, Sarah H.; Smadbeck, James; Drucker, Travis; Lima, Joema Felipe; Rohakhtar, Fariborz Rakhshan; Harris, Faye R.; Kosari, Farhad; Subramanian, Subbaya; Petersen, Gloria M; Wiltshire, Timothy D.; Kipp, Benjamin R.; Truty, Mark; Mc Williams, Robert R; Couch, Fergus J; Vasmatzis, George.

In: Cancer Research, Vol. 76, No. 3, 01.02.2016, p. 749-761.

Research output: Contribution to journalArticle

Murphy, Stephen J. ; Hart, Steven ; Halling, Geoffrey C. ; Johnson, Sarah H. ; Smadbeck, James ; Drucker, Travis ; Lima, Joema Felipe ; Rohakhtar, Fariborz Rakhshan ; Harris, Faye R. ; Kosari, Farhad ; Subramanian, Subbaya ; Petersen, Gloria M ; Wiltshire, Timothy D. ; Kipp, Benjamin R. ; Truty, Mark ; Mc Williams, Robert R ; Couch, Fergus J ; Vasmatzis, George. / Integrated genomic analysis of pancreatic ductal adenocarcinomas reveals genomic rearrangement events as significant drivers of disease. In: Cancer Research. 2016 ; Vol. 76, No. 3. pp. 749-761.
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abstract = "Many somatic mutations have been detected in pancreatic ductal adenocarcinoma (PDAC), leading to the identification of some key drivers of disease progression, but the involvement of large genomic rearrangements has often been overlooked. In this study, we performed mate pair sequencing (MPseq) on genomic DNA from 24 PDAC tumors, including 15 lasercaptured microdissected PDAC and 9 patient-derived xenografts, to identify genome-wide rearrangements. Large genomic rearrangements with intragenic breakpoints altering key regulatory genes involved in PDAC progression were detected in all tumors. SMAD4, ZNF521, and FHIT were among the most frequently hit genes. Conversely, commonly reported genes with copy number gains, including MYC and GATA6, were frequently observed in the absence of direct intragenic breakpoints, suggesting a requirement for sustaining oncogenic function during PDAC progression. Integration of data from MPseq, exome sequencing, and transcriptome analysis of primary PDAC cases identified limited overlap in genes affected by both rearrangements and point mutations. However, significant overlap was observed in major PDAC-associated signaling pathways, with all PDAC exhibiting reduced SMAD4 expression, reduced SMAD-dependent TGFβ signaling, and increased WNT and Hedgehog signaling. The frequent loss of SMAD4 and FHIT due to genomic rearrangements strongly implicates these genes as key drivers of PDAC, thus highlighting the strengths of an integrated genomic and transcriptomic approach for identifying mechanisms underlying disease initiation and progression.",
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AU - Drucker, Travis

AU - Lima, Joema Felipe

AU - Rohakhtar, Fariborz Rakhshan

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AU - Subramanian, Subbaya

AU - Petersen, Gloria M

AU - Wiltshire, Timothy D.

AU - Kipp, Benjamin R.

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AB - Many somatic mutations have been detected in pancreatic ductal adenocarcinoma (PDAC), leading to the identification of some key drivers of disease progression, but the involvement of large genomic rearrangements has often been overlooked. In this study, we performed mate pair sequencing (MPseq) on genomic DNA from 24 PDAC tumors, including 15 lasercaptured microdissected PDAC and 9 patient-derived xenografts, to identify genome-wide rearrangements. Large genomic rearrangements with intragenic breakpoints altering key regulatory genes involved in PDAC progression were detected in all tumors. SMAD4, ZNF521, and FHIT were among the most frequently hit genes. Conversely, commonly reported genes with copy number gains, including MYC and GATA6, were frequently observed in the absence of direct intragenic breakpoints, suggesting a requirement for sustaining oncogenic function during PDAC progression. Integration of data from MPseq, exome sequencing, and transcriptome analysis of primary PDAC cases identified limited overlap in genes affected by both rearrangements and point mutations. However, significant overlap was observed in major PDAC-associated signaling pathways, with all PDAC exhibiting reduced SMAD4 expression, reduced SMAD-dependent TGFβ signaling, and increased WNT and Hedgehog signaling. The frequent loss of SMAD4 and FHIT due to genomic rearrangements strongly implicates these genes as key drivers of PDAC, thus highlighting the strengths of an integrated genomic and transcriptomic approach for identifying mechanisms underlying disease initiation and progression.

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