Harris, Faye R.

Abstract Ovarian cancer (OCa) is fifth leading cause of death among women. Most of OCa patients diagnosed with high stage invasive disease. Although, majority experience remission after surgical debulking and adjuvant chemotherapy, about 80% of patients relapse and/or develop chemoresistant disease. More efficient diagnostics and therapies are needed to improve outcome in ovarian cancer. We used an integrated approach to characterize genomic rearrangements in serous OCa inordet to identify potentially targetable alterations and test treatments with corresponding drugs using matching mouse avatar models. Mate-pair next generation sequencing protocol and BIMA2 algorithm were used to identify chromosomal rearrangements, including gene fusions and copy number changes, in primary tumors. Further analysis was then performed to determine alterations that may also be therapeutically targeted. Total of 25 primary tumors were analyzed, out of which four were selected for genomically guided treatments in corresponding mouse avatars. The tumors propagated in the selected mouse lines were also sequenced and showed identical to original patient tumor landscape of rearrangements. In addition, the selected targetable alterations were validated in both patient and avatar tumor DNA. For several of the analyzed cases pre-surgical and postsurgical blood was available for detection of selected alterations in cell free circulating tumor DNA. The analysis revealed presence of selected rearrangements in pre-surgical blood of all tested cases and in a number of those that showed presence of the disease after surgery. In summary, we showed that the whole genome sequencing of DNA rearrangements in conjunction with analyses of therapeutic targets and treatment testing in mouse avatars, developed using primary tumors, is a promising approach to aid treatment decisions for individual ovarian cancer patients. Note: This abstract was not presented at the conference. Citation Format: Faye R. Harris, Geoffrey C. Halling, Marc A. Becker, Paul Haluska, Jr., George Vasmatzis, Irina V. Kovtun. Individualized approach for ovarian cancer: Identification of potential therapeutic targets based on genomic analyses, testing efficiency of treatments, and monitoring. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Integrating Clinical Genomics and Cancer Therapy; Jun 13-16, 2015; Salt Lake City, UT. Philadelphia (PA): AACR; Clin Cancer Res 2016;22(1_Suppl):Abstract nr 13.

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.

Purpose Distinguishing independent primary tumors from intrapulmonary metastases in non–small-cell carcinoma remains a clinical dilemma with significant clinical implications. Using next-generation DNA sequencing, we developed a chromosomal rearrangement–based approach to differentiate multiple primary tumors from metastasis. Methods Tumor specimens from patients with known independent primary tumors and metastatic lesions were used for lineage test development, which was then applied to multifocal tumors. Laser capture microdissection was performed separately for each tumor. Genomic DNA was isolated using direct in situ whole-genome amplification methodology, 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 A total of 41 tumor samples were sequenced (33 adenocarcinomas [ADs] and eight squamous cell carcinomas [SQCCs]), with a range of three to 276 breakpoints per tumor identified. Lung tumors predicted to be independent primary tumors based on different histologic subtype did not share any genomic rearrangements. In patients with lung primary tumors and paired distant metastases, shared rearrangements were identified in all tumor pairs, emphasizing the patient specificity of identified breakpoints. Multifocal AD and SQCC samples were reviewed independently by two pulmonary pathologists. Concordance between histology and genomic data occurred in the majority of samples. Discrepant tumor samples were resolved by genome sequencing. Conclusion A diagnostic lineage test based on genomic rearrangements from mate-pair sequencing demonstrates promise for distinguishing independent primary from metastatic disease in lung cancer.

AbstractThe development of adenocarcinoma of the lung is believed to proceed from in situ disease (adenocarcinoma in situ, AIS) to minimally invasive disease with prominent lepidic growth (minimally invasive adenocarcinoma, MIA), then to fully invasive adenocarcinoma (AD), but direct evidence for this model has been lacking. Because some lung adenocarcinomas show prominent lepidic growth (AD-L), we designed a study to address the lineage relationship between the lepidic (noninvasive) component (L) and the adjacent nonlepidic growth component representing invasive disease within individual tumors. Lineage relationships were evaluated by next-generation DNA sequencing to define large genomic rearrangements in microdissected tissue specimens collected by laser capture. We found a strong lineage relationship between the majority of adjacent lepidic and invasive components, supporting a putative AIS–AD transition. Notably, many rearrangements were detected in the less aggressive lepidic component, although the invasive component exhibited an overall higher rate of genomic rearrangement. Furthermore, a significant number of genomic rearrangements were present in histologically normal lung adjacent to tumor, but not in host germline DNA, suggesting field defects restricted to zonal regions near a tumor. Our results offer a perspective on the genetic pathogenesis underlying adenocarcinoma development and its clinical management. Cancer Res; 74(11); 3157–67. ©2014 AACR.