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Smadbeck, James B.

https://orcid.org/0000-0002-8902-0950

Mayo Clinic

Mayo Clinic

Citations 42

Integrated mate-pair and RNA sequencing identifies novel, targetable gene fusions in peripheral T-cell lymphoma
Boddicker, Rebecca L., Razidlo, Gina L. , Dasari, Surendra , Zeng, Yu , Hu, Guangzhen , Knudson, Ryan A., Greipp, Patricia T. , Davila, Jaime , Johnson, Sarah H. , Porcher, Julie C., Smadbeck, James B. , Eckloff, Bruce W., Billadeau, Daniel D. , Kurtin, Paul J. , McNiven, Mark A. , Link, Brian K. , Ansell, Stephen M. , Asmann, Yan W. , Vasmatzis, George , Feldman, Andrew L. , Luchtel, Rebecca A. , Davila, Jaime I, Cerhan, James R. , Feldman, Andrew L , Link, Brian K , Razidlo, Gina L , Greipp, Patricia T , Davila, Jaime I

Blood | June 14, 2016 | Volume: 128 | Issue: 9 | Pages: 1234-1245

10.1182/blood-2016-03-707141 Get It

Abstract Peripheral T-cell lymphomas (PTCLs) represent a heterogeneous group of T-cell malignancies that generally demonstrate aggressive clinical behavior, often are refractory to standard therapy, and remain significantly understudied. The most common World Health Organization subtype is PTCL, not otherwise specified (NOS), essentially a “wastebasket” category because of inadequate understanding to assign cases to a more specific diagnostic entity. Identification of novel fusion genes has contributed significantly to improving the classification, biologic understanding, and therapeutic targeting of PTCLs. Here, we integrated mate-pair DNA and RNA next-generation sequencing to identify chromosomal rearrangements encoding expressed fusion transcripts in PTCL, NOS. Two of 11 cases had novel fusions involving VAV1, encoding a truncated form of the VAV1 guanine nucleotide exchange factor important in T-cell receptor signaling. Fluorescence in situ hybridization studies identified VAV1 rearrangements in 10 of 148 PTCLs (7%). These were observed exclusively in PTCL, NOS (11%) and anaplastic large cell lymphoma (11%). In vitro, ectopic expression of a VAV1 fusion promoted cell growth and migration in a RAC1-dependent manner. This growth was inhibited by azathioprine, a clinically available RAC1 inhibitor. We also identified novel kinase gene fusions, ITK-FER and IKZF2-ERBB4, as candidate therapeutic targets that show similarities to known recurrent oncogenic ITK-SYK fusions and ERBB4 transcript variants in PTCLs, respectively. Additional novel and potentially clinically relevant fusions also were discovered. Together, these findings identify VAV1 fusions as recurrent and targetable events in PTCLs and highlight the potential for clinical sequencing to guide individualized therapy approaches for this group of aggressive malignancies.
Integrated Genomic Analysis of Pancreatic Ductal Adenocarcinomas Reveals Genomic Rearrangement Events as Significant Drivers of Disease
Hart, Steven N. , Halling, Geoffrey C. , Johnson, Sarah H. , Smadbeck, James B. , 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 J. , Vasmatzis, George , McWilliams, Robert R. , Murphy, Stephen J. , Couch, Fergus J. , Hart, Steven N

Cancer Research | December 16, 2015 | Volume: 76 | Issue: 3 | Pages: 749-761

10.1158/0008-5472.can-15-2198 Get It

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 laser-captured 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. Cancer Res; 76(3); 749–61. ©2015 AACR.