Geoffrey C. Halling

Truncated ERG Oncoproteins from TMPRSS2-ERG Fusions Are Resistant to SPOP-Mediated Proteasome Degradation

SPOP mutations and TMPRSS2-ERG rearrangements occur collectively in up to 65% of human prostate cancers. Although the two events are mutually exclusive, it is unclear whether they are functionally interrelated. Here, we demonstrate that SPOP, functioning as an E3 ubiquitin ligase substrate-binding protein, promotes ubiquitination and proteasome degradation of wild-type ERG by recognizing a degron motif at the N terminus of ERG. Prostate cancer-associated SPOP mutations abrogate the SPOP-mediated degradation function on the ERG oncoprotein. Conversely, the majority of TMPRSS2-ERG fusions encode N-terminal-truncated ERG proteins that are resistant to the SPOP-mediated degradation because of degron impairment. Our findings reveal degradation resistance as a previously uncharacterized mechanism that contributes to elevation of truncated ERG proteins in prostate cancer. They also suggest that overcoming ERG resistance to SPOP-mediated degradation represents a viable strategy for treatment of prostate cancers expressing either mutated SPOP or truncated ERG.

Identification of Independent Primary Tumors and Intrapulmonary Metastases Using DNA Rearrangements in Non–Small-Cell Lung Cancer

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.

Integrated analysis of the genomic instability of PTEN in clinically insignificant and significant prostate cancer.

Patients with clinically insignificant prostate cancer remain a major over-treated population. PTEN loss is one of the most recurrent alterations in prostate cancer associated with an aggressive phenotype, however, the occurrence of PTEN loss in insignificant prostate cancer has not been reported and its role in the separation of insignificant from significant prostate cancer is unclear. An integrated analysis of PTEN loss was, therefore, performed for structural variations, point mutations and protein expression in clinically insignificant (48 cases) and significant (76 cases) prostate cancers treated by radical prostatectomy. Whole-genome mate pair sequencing was performed on tumor cells isolated by laser capture microdissection to characterize PTEN structural alterations. Fluorescence in situ hybridization probes were constructed from the sequencing data to detect the spectrum of these PTEN alterations. PTEN loss by mate pair sequencing and fluorescence in situ hybridization occurred in 2% of insignificant, 13% of large volume Gleason score 6, and 46% of Gleason score 7 and higher cancers. In Gleason score 7 cancers with PTEN loss, PTEN alterations were detected in both Gleason pattern 3 and 4 in 57% of cases by mate pair sequencing, 75% by in situ hybridization and 86% by immunohistochemistry. PTEN loss by sequencing was strongly associated with TMPRSS2-ERG fusion, biochemical recurrence, PTEN loss by in situ hybridization and protein loss by immunohistochemistry. The complex nature of PTEN rearrangements was unveiled by sequencing, detailing the heterogeneous events leading to homozygous loss of PTEN. PTEN point mutation was present in 5% of clinically significant tumors and not in insignificant cancer or high-grade prostatic intraepithelial neoplasia. PTEN loss is infrequent in clinically insignificant prostate cancer, and is associated with higher grade tumors. Detection of PTEN loss in Gleason score 6 cancer in a needle biopsy specimen indicates a higher likelihood of clinically significant prostate cancer.

Quantification of Somatic Chromosomal Rearrangements in Circulating Cell-Free DNA from Ovarian Cancers.

Recently, the use of a liquid biopsy has shown promise in monitoring tumor burden. While point mutations have been extensively studied, chromosomal rearrangements have demonstrated greater tumor specificity. Such rearrangements can be identified in the tumor and subsequently detected in the plasma of patients using quantitative PCR (qPCR). In this study we used a whole-genome mate-pair protocol to characterize a landscape of genomic rearrangements in the primary tumors of ten ovarian cancer patients. Individualized tumor-specific primer panels of aberrant chromosomal junctions were identified for each case and detected by qPCR within the cell-free DNA. Selected chromosomal junctions were detected in pre-surgically drawn blood in eight of the ten patients. Of these eight, three demonstrated the continued presence of circulating tumor DNA (ctDNA) post-surgery, consistent with their documented presence of disease, and in five ctDNA was undetectable in the post-surgical blood collection, consistent with their lack of detectable disease. The ctDNA fraction was calculated using a novel algorithm designed for the unique challenges of quantifying ctDNA using qPCR to allow observations of real-time tumor dynamics. In summary, a panel of individualized junctions derived from tumor DNA could be an effective way to monitor cancer patients for relapse and therapeutic efficacy using cfDNA.

Integrated Genomic Analysis of Pancreatic Ductal Adenocarcinomas Reveals Genomic Rearrangement Events as Significant Drivers of Disease

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.

Genomic Rearrangements Define Lineage Relationships between Adjacent Lepidic and Invasive Components in Lung Adenocarcinoma

The 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.

Human papillomavirus in oropharyngeal squamous cell carcinoma: Assessing virus presence in normal tissue and activity in cervical metastasis

Human papillomavirus (HPV) has been established as an etiologic and prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC). HPV oncogenesis involves expression of E6/E7 oncoproteins, with downstream p53 degradation and pRb inhibition. Although much research has focused on HPVs oncogenic behavior in primary OPSCC, minimal information exists about HPV in adjacent normal and metastatic tissue.

Chromosomal rearrangements and copy number abnormalities of TP63 correlate with p63 protein expression in lung adenocarcinoma.

The TP63 gene encodes a member of the p53 family of transcription factors. Although TP53 is a well-known tumor suppressor gene, the role of p63 in tumorigenesis is controversial. Our group recently identified novel chromosomal rearrangements involving TP63 in approximately 6% of peripheral T-cell lymphomas, which correlated with a p63+/p40− immunohistochemical profile. As a subset of lung adenocarcinomas are p63+/p40−, we undertook the current study to examine the presence of TP63 rearrangements and correlate with p63/p40 expression. Next-generation sequencing was used to identify genomic rearrangements of TP63 in 37 adenocarcinomas. Confirmatory fluorescence in-situ hybridization (FISH) using a break-apart probe to the TP63 gene region and immunohistochemistry for p63 and p40 were performed on adenocarcinomas with TP63 rearrangements identified by mate-pair sequencing. Immunohistochemistry for p63 and p40 was performed on 45 additional adenocarcinomas, and FISH was performed on all adenocarcinomas with p63 positivity. TP63 rearrangement was identified in two adenocarcinoma specimens from a single patient. The rearrangement resulted in a complex rearrangement of 3q that fused B3GALNT1 at the 3′ intron to TP63. FISH confirmed the rearrangement in both tumors. Immunohistochemistry staining for p63 was diffuse (>80% cells+) and p40 was negative. Of the 44 additional adenocarcinomas, 13 (30%) showed p63 expression; p40 was negative in all cases. No case showed rearrangement of TP63 by a break-apart FISH. However, extra copies of the intact TP63 locus were seen in the p63-positive areas of all 12 cases, with copy numbers ranging from three to seven. We have identified a novel chromosomal rearrangement involving TP63 in a p63+/p40− lung adenocarcinoma. Break-apart FISH testing can be used to diagnose this finding. Immunohistochemistry for p63 was not specific for this rearrangement, as nearly 33% of adenocarcinomas expressed p63. Additional copies of the intact TP63 locus were also a common finding and correlated with immunohistochemistry positivity for p63.

EGFR mediates activation of RET in lung adenocarcinoma with neuroendocrine differentiation characterized by ASCL1 expression

Achaete-scute homolog 1 (ASCL1) is a neuroendocrine transcription factor specifically expressed in 10-20% of lung adenocarcinomas (AD) with neuroendocrine (NE) differentiation (NED). ASCL1 functions as an upstream regulator of the RET oncogene in AD with high ASCL1 expression (A+AD). RET is a receptor tyrosine kinase with two main human isoforms; RET9 (short) and RET51 (long). We found that elevated expression of RET51 associated mRNA was highly predictive of poor survival in stage-1 A+AD (p=0.0057). Functional studies highlighted the role of RET in promoting invasive properties of A+AD cells. Further, A+AD cells demonstrated close to 10 fold more sensitivity to epidermal growth factor receptor (EGFR) inhibitors, including gefitinib, than AD cells with low ASCL1 expression. Treatment with EGF robustly induced phosphorylation of RET at Tyr-905 in A+AD cells with wild type EGFR. This phosphorylation was blocked by gefitinib and by siRNA-EGFR. Immunoprecipitation experiments found EGFR in a complex with RET in the presence of EGF and suggested that RET51 was the predominant RET isoform in the complex. In the microarray datasets of stage-1 and all stages of A+AD, high levels of EGFR and RET RNA were significantly associated with poor overall survival (p < 0.01 in both analyses). These results implicate EGFR as a key regulator of RET activation in A+AD and suggest that EGFR inhibitors may be therapeutic in patients with A+AD tumors even in the absence of an EGFR or RET mutation.

Abstract 13: Individualized approach for ovarian cancer: Identification of potential therapeutic targets based on genomic analyses, testing efficiency of treatments, and monitoring

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.