Citations

AbstractCopy number variation (CNV) is a common form of structural variation detected in human genomes, occurring as both constitutional and somatic events. Cytogenetic techniques like chromosomal microarray (CMA) are widely used in analyzing CNVs. However, CMA techniques cannot resolve the full nature of these structural variations (i.e. the orientation and location of associated breakpoint junctions) and must be combined with other cytogenetic techniques, such as karyotyping or FISH, to do so. This makes the development of a next‐generation sequencing (NGS) approach capable of resolving both CNVs and breakpoint junctions desirable. Mate‐pair sequencing (MPseq) is a NGS technology designed to find large structural rearrangements across the entire genome. Here we present an algorithm capable of performing copy number analysis from mate‐pair sequencing data. The algorithm uses a step‐wise procedure involving normalization, segmentation, and classification of the sequencing data. The segmentation technique combines both read depth and discordant mate‐pair reads to increase the sensitivity and resolution of CNV calls. The method is particularly suited to MPseq, which is designed to detect breakpoint junctions at high resolution. This allows for the classification step to accurately calculate copy number levels at the relatively low read depth of MPseq. Here we compare results for a series of hematological cancer samples that were tested with CMA and MPseq. We demonstrate comparable sensitivity to the state‐of‐the‐art CMA technology, with the benefit of improved breakpoint resolution. The algorithm provides a powerful analytical tool for the analysis of MPseq results in cancer.

Abstract TMPRSS2-ERG gene fusions occur in over 50% of prostate cancers, but their impact on clinical outcomes is not well understood. Retention of interstitial genes between TMPRSS2 and ERG has been reported to influence tumor progression in an animal model. In this study, we analyzed the status of TMPRSS2-ERG fusion genes and interstitial genes in tumors from a large cohort of men treated surgically for prostate cancer, associating alterations with biochemical progression. Through whole-genome mate pair sequencing, we mapped and classified rearrangements driving ETS family gene fusions in 133 cases of very low-, low-, intermediate-, and high-risk prostate cancer from radical prostatectomy specimens. TMPRSS2-ERG gene fusions were observed in 44% of cases, and over 90% of these fusions occurred in ERG exons 3 or 4. ERG fusions retaining interstitial sequences occurred more frequently in very low-risk tumors. These tumors also frequently displayed ERG gene fusions involving alternative 5′-partners to TMPRSS2, specifically SLC45A3 and NDRG1 and other ETS family genes, which retained interstitial TMPRSS2/ERG sequences. Lastly, tumors displaying TMPRSS2-ERG fusions that retained interstitial genes were less likely to be associated with biochemical recurrence (P = 0.028). Our results point to more favorable clinical outcomes in patients with ETS family fusion-positive prostate cancers, which retain potential tumor-suppressor genes in the interstitial regions between TMPRSS2 and ERG. Identifying these patients at biopsy might improve patient management, particularly with regard to active surveillance. Cancer Res; 77(22); 6157–67. ©2017 AACR.

Abstract PURPOSE: Previous mutational analyses have failed to identify a predictive or prognostic marker for pulmonary carcinoid tumors (PCT). The heterogeneity of PCTs coupled with a lack of detailed information about the tumor biology, impedes patient stratification into groups based on tumor phenotypes or treatment response. We sought to use high-throughput next-generation sequencing to improve prognostication. METHODS: We stratified 37 patients with resected PCTs as low risk (n = 17) and high risk (n = 20) based on a 5 year long follow up for recurrence. Patients with no recurrence within 5 years from initial treatment were deemed low risk. Macrodissection was followed by genomic DNA isolation and next-generation sequencing was performed using an Illumina Mate Pair library protocol. Sequence reads were mapped to the human genome, and primers spanning the fusion junctions were used for validation polymerase chain reaction. RESULTS: Carcinoids commonly harbor rearrangements (median 3.5, range 1-167). Large chromosomal gains or losses were found in 24 of the cases (64.8%). We developed a prognostic score that included the total amount of genetic alterations (deletions and translocations). ROC analysis revealed an AUC of 0.76. High risk patients had a mean score of 20 and low risk patients had a mean score of 5.45 (p value = 0.03, Welch Two Sample t-test). Further analysis of the specific genetic alterations harbored by high and low risk PCTs and correlation with the pathologic and immunohistochemical information is currently underway. CONCLUSION: Large chromosomal rearrangements and aneuploidy portend a poor prognosis for patients with PCTs. Mate Pair sequencing of PCTs provides valuable prognostic information for this highly heterogeneous group of cancers. Citation Format: Konstantinos Leventakos, Aaron S. Mansfield, Stephen J. Murphy, Sarah H. Johnson, Sarah E. Kerr, Marie Christine Aubry, George Vasmatzis, Julian R. Molina. A prognostic model for pulmonary carcinoid tumors based on large chromosomal alterations. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4513.

Abstract Circulating tumor DNA (ctDNA) provides great potential for the non-invasive clinical assessment of tumor burden. We developed a monitoring protocol using next generation mate-pair sequencing to identify chromosomal rearrangement signatures in primary tumors to follow ctDNA in blood. Primary tumors of 10 patients with ovarian cancer were sequenced, and individualized tumor-specific panels were designed to detect the junctions in ctDNA. A novel algorithm was developed and applied to data generated by quantitative PCR to calculate the percent of ctDNA. Selected junctions, some with potential as therapeutic targets, were detected in pre-surgically drawn blood in eight out of ten patients. Of these eight, three demonstrated the continued presence of circulating tumor DNA post-surgery, and five had undetectable levels, consistent with their documented presence or absence of disease. The detection of somatic junctions derived from ctDNA could be an effective way to monitor ovarian cancer patients for relapse and therapy response. Citation Format: Faye R. Harris, Irina Kovtun, James Smadbeck, Francesco Multinu, Aminah Jatoi, Kimberly R. Kalli, Stephen J. Murphy, Geoffrey C. Halling, Farhad Kosari, Sarah H. Johnson, Andrea Mariani, George Vasmatzis. Quantification of somatic chromosomal rearrangements in circulating cell-free DNA from ovarian cancers. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 440.

Abstract Lung cancer accounts for about 27% of the cancer related deaths in the USA annually. Pathologically, it is a very complex disease broadly classified into small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC). NSCLCs are further classified into squamous cell carcinoma, large cell carcinoma and adenocarcinoma. Achaete-scute homolog 1 (ASCL1), an important transcription factor essential in the development of neuroendocrine cells (NE) in lungs is shown to be specifically expressed in lung NE cancers and 10-20% of adenocarcinomas (AD) with NE differentiation (NED), thus suggesting a role in the pathogenesis of these tumors. Our previous study showed that ASCL1 is a regulator of the RET oncogene in AD with NED. RET is a receptor tyrosine kinase with two isoforms in humans: RET9 (short) and RET51 (long). We performed survival analysis to study implications of RET isoforms in ASCL1+ tumors and found that elevated expression of the long RET mRNA was associated with poor survival. Subsequent in vitro experiments demonstrated that treatment with EGF robustly induced phosphorylation of RET in HCC1833 and H1755 cell lines which have high endogenous levels of ASCL1 and RET but not in VMRC-LCD cell line which has high level of ASCL1 but low level of RET. EGF induced phosphorylation of RET was diminished by gefitinib and by EGFR siRNA. Immunoprecipitation results indicated direct binding between EGFR and RET in presence of EGF. Furthermore, a high throughput drug screening found 8 EGFR inhibitors that were 10 - 250 fold more cytotoxic in ASCL1+ compared with ASCL1- AD cells. These results implicate EGFR as a key regulator of RET activation in ASCL1+ AD and suggest that EGFR inhibitors may be therapeutic for this population of patients. Citation Format: Kaustubh N. Bhinge, Yang Lin, Hamed Rahi, Marie Christine Aubry, Aaron Mansfield, Irina Kovtun, Stephen Murphy, Ping Yang, Dennis Wigle, Joanne (Eunhee) Yi, Aqsa Nasir, Simone Terra, Julian Molina, George Vasmatzis, Farhad Kosari. EGFR-mediated activation of RET in ASCL1+ lung adenocarcinoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 1129.

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.

Abstract Purpose: The expression of programmed cell death ligand 1 (PD-L1) provides limited predictive value in identifying patients most likely to respond to immunotherapy. As the heterogeneity of PD-L1 expression may lead to sampling error and the misclassification of PD-L1 status, we assessed the distribution of PD-L1 expression in paired, resected multifocal lung cancers. Experimental Design: PD-L1 was assessed by IHC. Paired lesions were defined as independent primaries or related lesions using mate pair next-generation sequencing. Agreement statistics were used for analysis. Results: Sixty-seven multifocal lung cancers from 32 patients were sequenced and stained for PD-L1. There was agreement of PD-L1 expression by the tumor cells in paired lesions of 20 patients and disagreement of PD-L1 expression by the tumor cells in paired lesions of 12 patients (κ = 0.01). Sequencing identified that 23 patients had independent primary lung cancers and that 9 patients had related cancers. In paired lesions of patients with independent cancers, there was agreement of PD-L1 expression by the tumor cells in 12 patients and disagreement in 11 patients (κ = 0.31). In paired lesions of patients with related lung cancers, there was agreement of PD-L1 expression by the tumor cells in 8 patients and disagreement in 1 patient (κ = 0.73). Conclusions: The expression of PD-L1 is heterogeneous among paired independent lung cancers, but there are high levels of agreement in intrapulmonary metastasis. Clin Cancer Res; 22(9); 2177–82. ©2015 AACR.