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Purpose: We present seven cases of advanced cancer patients who initially underwent tumor testing utilizing smaller, panel-based tests, followed by a variety of therapeutic treatments which ultimately resulted in progression of their disease. These cases demonstrate the value of utilizing WES/RNA seq and characterization following disease progression in these patients and the determination of clinically targetable alterations as well as acquired resistance mutations. Materials and Methods: All patients are part of an IRB approved observational study. WES and RNA sequencing were performed, using GEM ExTra® on tumor and blood samples obtained during routine clinical care. To accurately determine somatic versus germline alterations the test was performed with paired normal testing from peripheral blood. Results: The presented cases demonstrate the clinical impact of actionable findings uncovered using GEM ExTra® in patients with advanced disease who failed many rounds of treatment. Unique alterations were identified resulting in newly identified potential targeted therapies, mechanisms of resistance, and variation in the genomic characterization of the primary versus the metastatic tumor. Conclusions: Taken together our results demonstrate that GEM ExTra® maximizes detection of actionable mutations, thus allowing for appropriate treatment selection for patients harboring both common and rare genomic alterations.

Objective. The development of effective cancer treatments depends on the availability of cell lines that faithfully recapitulate the cancer in question. This study definitively re-assigns the histologic identities of two ovarian cancer cell lines, COV434 (originally described as a granulosa cell tumour) and TOV-112D (originally described as grade 3 endometrioid carcinoma), both of which were recently suggested to represent small cell carcinoma of the ovary, hypercalcemic type (SCCOHT), based on their shared gene expression profiles and sensitivity to EZH2 inhibitors. Methods. For COV434 and TOV-112D, we re-reviewed the original pathology slides and obtained clinical followup on the patients, when available, and performed immunohistochemistry for SMARCA4, SMARCA2 and additional diagnostic markers on the original formalin-fixed, paraffin-embedded (FFPE) clinical material, when available. For COV434, we further performed whole exome sequencing and validated SMARCA4 mutations by Sanger sequencing. We studied the growth of the cell lines at baseline and upon re-expression of SMARCA4 in vitro for both cell lines and evaluated the serum calcium levels in vivo upon injection into immunodeficient mice for COV434 cells.Results. The available morphological, immunohistochemical, genetic, and clinical features indicate COV434 is derived from SCCOHT, and TOV-112D is a dedifferentiated carcinoma. Transplantation of COV434 into mice leads to increased serum calcium level. Re-expression of SMARCA4 in either COV434 and TOV-112D cells suppressed their growth dramatically. Conclusions. COV434 represents a bona fide SCCOHT cell line. TOV-112D is a dedifferentiated ovarian carcinoma cell line.(c) 2020 Elsevier Inc. All rights reserved.

Studies suggest a link between the gut microbiome and metastatic renal cell carcinoma (mRCC) outcomes, including evidence that mRCC patients possess a lower abundance of Bifidobacterium spp. compared to healthy adults. We sought to assess if a Bifidobacterium‐containing yogurt product could modulate the gut microbiome and clinical outcome from vascular endothelial growth factor‐tyrosine kinase inhibitors (VEGF‐TKIs). mRCC patients initiating VEGF‐TKIs, regardless of the line of therapy, were randomized to probiotic‐supplemented (two 4 oz. servings of the probiotic yogurt product daily) or probiotic‐restricted arms. Stool samples were collected prior to therapy and at weeks 2, 3, 4, and 12. Microbiome composition was assessed using whole‐metagenome sequencing. A total of 20 patients were randomized. Bifidobacterium animalis, the active ingredient of the probiotic supplement, reached detectable levels in all patients in the probiotic‐supplemented arm versus two patients in the probiotic‐restricted arm. Clinical benefit rate was similar in probiotic‐supplemented versus probiotic‐restricted arms (70% vs. 80%, p = 0.606). Linear discriminant analysis (LDA) effect size analysis of MetaPhIAn2 abundance data predicted 25 enriched species demonstrating an LDA score >3 in either clinical benefit or no clinical benefit. In patients with clinical benefit (vs. no clinical benefit), Barnesiella intestinihominis and Akkermansia muciniphila were significantly more abundant (p = 7.4 × 10−6 and p = 5.6 × 10−3, respectively). This is the first prospective randomized study demonstrating modulation of the gut microbiome with a probiotic in mRCC. Probiotic supplementation successfully increased the Bifidobacterium spp. levels. Analysis of longitudinal stool specimens identified an association between B. intestinihominis, A. muciniphila, and clinical benefit with therapy. Trial Registration: NCT02944617, Our study provides novel evidence regarding gut microbiome modulation with a Bifidobacterium‐containing yogurt in metastatic renal cell carcinoma patients receiving targeted therapies and specifies the microbiota members (Barnesiella intestinihominis, Akkermansia muciniphila) associated with clinical benefit from targeted therapies in mRCC.

Preclinical models and early clinical data suggest an interplay between the gut microbiome and response to immunotherapy in solid tumors including metastatic renal cell carcinoma (mRCC). We sought to characterize the stool microbiome of mRCC patients receiving a checkpoint inhibitor (CPI) and to assess treatment-related changes in microbiome composition over the course of CPI therapy. Stool was collected from 31 patients before initiation of nivolumab (77%) or nivolumab plus ipilimumab (23%) therapy, of whom 58% experienced clinical benefit. Greater microbial diversity was associated with clinical benefit from CPI therapy (p = 0.001), and multiple species were associated with clinical benefit or lack thereof. Temporal profiling of the microbiome indicated that the relative abundance of Akkermansia muciniphila increased in patients deriving clinical benefit from CPIs. This study substantiates results from previous CPI-related microbiome profiling studies in mRCC. Temporal changes in microbiome composition suggest potential utility in modulating the microbiome for more successful CPI outcomes. Patient summary We compared the composition and diversity of the gut microbiome in patients receiving immunotherapy for renal cell carcinoma. We found that higher microbial diversity is associated with better treatment outcomes. Treatment response is characterized by changes in microbial species over the course of treatment.

Purpose: Many rare ovarian cancer subtypes, such as small-cell carcinoma of the ovary, hypercalcemic type (SCCOHT), have poor prognosis due to their aggressive nature and resistance to standard platinum- and taxane-based chemotherapy. The development of effective therapeutics has been hindered by the rarity of such tumors. We sought to identify targetable vulnerabilities in rare ovarian cancer subtypes. Experimental Design: We compared the global proteomic landscape of six cases each of endometrioid ovarian cancer (ENOC), clear cell ovarian cancer (CCOC), and SCCOHT to the most common subtype, high-grade serous ovarian cancer (HGSC), to identify potential therapeutic targets. IHC of tissue microarrays was used as validation of arginosuccinate synthase (ASS1) deficiency. The efficacy of arginine-depriving therapeutic ADI-PEG20 was assessed in vitro using cell lines and patient-derived xenograft mouse models representing SCCOHT. Results: Global proteomic analysis identified low ASS1 expression in ENOC, CCOC, and SCCOHT compared with HGSC. Low ASS1 levels were validated through IHC in large patient cohorts. The lowest levels of ASS1 were observed in SCCOHT, where ASS1 was absent in 12 of 31 cases, and expressed in less than 5% of the tumor cells in 9 of 31 cases. ASS1-deficient ovarian cancer cells were sensitive to ADI-PEG20 treatment regardless of subtype in vitro. Furthermore, in two cell line mouse xenograft models and one patient-derived mouse xenograft model of SCCOHT, once-a-week treatment with ADI-PEG20 (30 mg/kg and 15 mg/kg) inhibited tumor growth in vivo. Conclusions: Preclinical in vitro and in vivo studies identified ADI-PEG20 as a potential therapy for patients with rare ovarian cancers, including SCCOHT.

Small-cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is a rare and highly aggressive ovarian malignancy. In almost all cases, it is associated with somatic and often germline pathogenic variants in SMARCA4, which encodes for the SMARCA4 protein (BRG1), a subunit of the SWI/SNF chromatin remodeling complex. Approximately 20% of human cancers possess pathogenic variants in at least one SWI/SNF subunit. Because of their role in regulating many important cellular processes including transcriptional control, DNA repair, differentiation, cell division, and DNA replication, SWI/SNF complexes with mutant subunits are thought to contribute to cancer initiation and progression. Fewer than 500 cases of SCCOHT have been reported in the literature and approximately 60% are associated with hypercalcemia. SCCOHT primarily affects females under 40 years of age who usually present with symptoms related to a pelvic mass. SCCOHT is an aggressive cancer, with long-term survival rates of 30% in early-stage cases. Although various treatment approaches have been proposed, there is no consensus on surveillance and therapeutic strategy. An international group of multidisciplinary clinicians and researchers recently formed the International SCCOHT Consortium to evaluate current knowledge and propose consensus surveillance and therapeutic recommendations, with the aim of improving outcomes. Here, we present an overview of the genetics of this cancer, provide updates on new treatment targets, and propose management guidelines for this challenging cancer.

Personalized medicine, or the tailoring of health interventions to an individual's nuanced and often unique genetic, biochemical, physiological, behavioral, and/or exposure profile, is seen by many as a biological necessity given the great heterogeneity of pathogenic processes underlying most diseases. However, testing and ultimately proving the benefit of strategies or algorithms connecting the mechanisms of action of specific interventions to patient pathophysiological profiles (referred to here as "intervention matching schemes" (IMS)) is complex for many reasons. We argue that IMS are likely to be pervasive, if not ubiquitous, in future health care, but raise important questions about their broad deployment and the contexts within which their utility can be proven. For example, one could question the need to, the efficiency associated with, and the reliability of, strategies for comparing competing or perhaps complementary IMS. We briefly summarize some of the more salient issues surrounding the vetting of IMS in cancer contexts and argue that IMS are at the foundation of many modern clinical trials and intervention strategies, such as basket, umbrella, and adaptive trials. In addition, IMS are at the heart of proposed "rapid learning systems" in hospitals, and implicit in cell replacement strategies, such as cytotoxic T-cell therapies targeting patient-specific neo-antigen profiles. We also consider the need for sensitivity to issues surrounding the deployment of IMS and comment on directions for future research.

Cancer genomic heterogeneity presents significant challenges for understanding oncogenic processes and for cancer’s clinical management. Variation in driver mutation frequency between patients with the same tumor type as well as within individual patients’ cancers can limit the power of mutations to serve as diagnostic, prognostic, and predictive biomarkers. We have characterized genomic heterogeneity between and within patients in canine splenic hemangiosarcoma (HSA), a common naturally occurring cancer in pet dogs that is similar to human angiosarcoma (AS). HSA is a clinically, physiologically, and genomically complex canine cancer that may serve as a valuable model for understanding the origin and clinical impact of cancer heterogeneity. We conducted a prospective collection of 52 splenic masses from 44 dogs (28 HSA, 15 benign masses, and 1 stromal sarcoma) presenting to emergency care with hemoperitoneum secondary to a ruptured splenic mass. Multi-platform genomic analysis included matched tumor/normal cancer gene panel and exome sequencing. We found candidate somatic cancer driver mutations in 14/28 (50%) HSAs. Among recurrent candidate driver mutations, TP53 was most commonly mutated (29%) followed by PIK3CA (14%), AKT1 (11%), and CDKN2AIP (11%). We also identified significant intratumoral genomic heterogeneity, consistent with a branched evolution model, through multi-region exome sequencing of three distinct tumor regions from selected primary splenic tumors. These data provide new perspective on the genomic landscape and comparative value of understanding HSA in pet dogs, particularly as a naturally occurring cancer bearing intratumoral heterogeneity.

IntroductionAsymptomatic testing for SARS-CoV-2 among healthcare workers or other essential personnel could remove infected carriers from the workforce, decreasing chances for transmission and workplace outbreaks. Results from one-time testing programs have been reported but data regarding longitudinal testing, including information about employee’s reactions to such programs, is not readily available.MethodsTo identify asymptomatic carriers of SARS-CoV-2, we implemented a longitudinal screening program for critical on-site employees within our research institute in early April 2020. We conducted a survey of both on-site employees and those working from home in order to measure their reactions to the testing program. Statistical analysis of the survey was conducted with general linear regression and Pearson’s Chi-Square tests.ResultsDespite an ongoing high community prevalence rate of COVID-19, to date only two asymptomatic employees tested positive out of 1050 tests run during 7 months of the program. However, 12 symptomatic employees not participating in the program have tested positive. The employee survey was completed by 132/306 (43%) employees, with 93% agreeing that asymptomatic employee screening led to a better and safer working environment and 75% agreeing with on-site public health measures to help contain the virus, but only 58% feeling COVID-19 was a serious threat to their health.ConclusionOur results suggest that a longitudinal asymptomatic employee screening program for SARS-CoV-2 can be accepted by employees and can be used to maintain the health of the workforce, potentially keeping positivity rates below community levels in the face of the ongoing COVID-19 pandemic.

Comparative studies of naturally-occurring canine cancers have provided new insight into many areas of cancer research. The inclusion of pet dogs in the development and validation of circulating tumor DNA (ctDNA) diagnostics may be uniquely informative for human translation for many reasons, including: high incidence of certain spontaneous cancers, repeated access to blood and tumor from the same individuals during the course of disease progression, and molecular heterogeneity of naturally-occurring cancers in dogs. Here, we present a feasibility study of ctDNA analysis performed in 9 healthy dogs and 39 dogs with either benign or malignant splenic tumors (hemangiosarcoma) using shallow whole genome sequencing (sWGS) of cell-free DNA. To enable detection and quantification of ctDNA using sWGS, we adapted two informatic approaches and compared their performance for the canine genome. At presentation, mean ctDNA tumor fraction in dogs with malignant splenic tumors was 11.2%, significantly higher than dogs with benign lesions (3.2%; p 0.001), achieving an AUC of 0.84. ctDNA tumor fraction was 14.3% and 9.0% in dogs with metastatic and localized disease, respectively although this difference was not statistically significant (p 0.227). In paired analysis, ctDNA fraction decreased from 11.0% to 7.9% after resection of malignant tumors (p 0.047). Our results demonstrate that ctDNA analysis is feasible in dogs with hemangiosarcoma using a cost-effective approach such as sWGS. Future studies are underway to validate these findings, and further evaluate the role of ctDNA to assess burden of disease and treatment response during drug development.

BackgroundThe clinical significance of tumor-specific genomic alterations in metastatic renal cell carcinoma (mRCC) is emerging, with several studies suggesting an association between PBRM1 mutations and response with immunotherapy (IO). We sought to determine genomic predictors of differential response to vascular endothelial growth factor–tyrosine kinase inhibitors (VEGF-TKIs) and IO.MethodsConsecutive patients who underwent genomic profiling were identified; patients receiving either VEGF-TKIs or IO were included. Clinical tumor-normal whole exome sequencing and tumor whole transcriptome sequencing test were performed using a Clinical Laboratory Improvement Amendments (CLIA)-certified assay (Ashion Analytics; Phoenix, Arizona, USA). Genomic findings were compared between patients with clinical benefit (CB; complete/partial response or stable disease for >6 months) and no clinical benefit (NCB) in VEGF-TKI-treated patient cohort and IO-treated patient cohort.Results91 patients received genomic profiling and 58 patients received VEGF-TKI and/or IO therapy. 17 received sequenced treatment involving both VEGF-TKI and IO, resulting in 32 patients in the IO cohort and 43 patients in the VEGF-TKI cohort. The most commonly used IO and VEGF-TKIs were nivolumab (66%) and sunitinib (40%). The most frequently detected alterations in the overall cohort were in VHL (64%), PBRM1 (38%), SETD2 (24%), KDM5C (17%) and TERT (12%). TERT promoter mutations were associated with NCB in the IO cohort (p=0.038); transcriptomic analysis revealed multiple differentially regulated pathways downstream of TERT. TERT promoter mutations and PBRM1 mutations were found to be mutually exclusive. While PBRM1 mutations were more prevalent in patients with CB with IO and VEGF-TKIs, no statistically significant association was found.ConclusionsOur analysis found that TERT promoter mutations may be a negative predictor of outcome with IO and are mutually exclusive with PBRM1 loss-of-function mutations.

Malignant melanoma (MM) exhibits a high propensity for central nervous system dissemination with ~50% of metastatic MM patients developing brain metastases (BM). Targeted therapies and immune checkpoint inhibitors have improved overall survival for MM patients with BM. However, responses are usually of short duration and new agents that effectively penetrate the blood brain barrier (BBB) are needed. Here, we report a MM patient with BM who experienced an exceptional response to E6201, an ATP-competitive MEK1 inhibitor, on a Phase 1 study, with ongoing near-complete response and overall survival extending beyond 8 years. Whole exome and transcriptome sequencing revealed a high mutational burden tumor (22 mutations/Megabase) with homozygous BRAF V600E mutation. Correlative preclinical studies demonstrated broad activity for E6201 across BRAF V600E mutant melanoma cell lines and effective BBB penetration in vivo. Together, these results suggest that E6201 may represent a potential new treatment option for BRAF-mutant MM patients with BM.

Background: Preliminary studies have characterized potential adverse effects associated with COVID-19 vaccination in pts with cancer. However, biological characterization of vaccine response has yet to be performed. Methods: Eligible pts with advanced GU cancers (metastatic/unresectable prostate, bladder and renal cell carcinoma [RCC]) and had not yet received COVID-19 vaccination. Pts were consented to receive sequential blood draws prior to vaccination and at landmarks of 2, 6, and 12 mos following vaccination. Pts on systemic treatment had additional blood draws coinciding with their first 3 cycles of therapy following vaccination. Ab titers to SARS-CoV-2 were quantified via ELISA and reported as an immune status ratio (ISR). RNA was extracted from PBMC aliquots, converted into cDNA and TCR α/β sequences were selectively amplified. TCR abundance and homology clustering was performed using custom scripts. Results: As of May 14, 2021, 130 pts had consented to the study of whom 126 pts submitted baseline (BL) specimens. The current analysis focuses on 56 pts who submitted cycle 1 (C1) specimens. Among these, 29, 26, and 1 pts had RCC, prostate and bladder cancer, respectively;19 were on checkpoint inhibitor (CPI)-based regimens while 37 were on non-CPI regimens. BNT162b2 (Pfizer) was the most commonly administered vaccine in the cohort (n=29), followed by mRNA-1273 (Moderna;n=26). COVID-19 Ab titers increased significantly from BL to C1 across the cohort from 0.19 (interquartile range [IQR] 0.12-0.18) to 4.37 (IQR 0.2-6.60;P

PurposeMany rare ovarian cancer subtypes such as small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) have poor prognosis due to their aggressive nature and resistance to standard platinum and taxane based chemotherapy. The development of effective therapeutics has been hindered by the rarity of such tumors. We sought to identify targetable vulnerabilities in rare ovarian cancer subtypes.Experimental DesignWe compared the global proteomic landscape of six cases each of endometrioid ovarian cancer (ENOC), clear cell ovarian cancer (CCOC), and SCCOHT to the most common subtype high grade serous ovarian cancer (HGSC) to identify potential therapeutic targets. Immunohistochemistry of tissue microarrays were used as validation of ASS1 deficiency. The efficacy of arginine-depriving therapeutic ADI-PEG20 was assessed in vitro using cell lines and patient derived xenograft mouse models representing SCCOHT.ResultsGlobal proteomic analysis identified low ASS1 expression in ENOC, CCOC, and SCCOHT compared to HGSC. Low ASS1 levels were validated through IHC in a large patient cohort. The lowest levels of ASS1 were observed in SCCOHT, where ASS1 was absent in 2/15 cases, and expressed in less than 5% of the tumor cells in 8/15 cases. ASS1 deficient ovarian cancer cells were sensitive to ADI-PEG20 treatment regardless of subtype in vitro. Furthermore, in two cell line mouse xenograft models and one patient derived mouse xenograft model of SCCOHT, once a week treatment of ADI-PEG20 (30mg/kg and 15mg/kg) inhibited tumor growth in vivo.ConclusionsPreclinical in vitro and in vivo studies identified ADI-PEG20 as a potential therapy for patients with rare ovarian cancers including SCCOHT.Translational relevanceMany rare ovarian cancers lack effective management strategies and are resistant to the standard platinum- and taxane-based chemotherapy. Thus, for a rare ovarian cancer subtype like small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) - an aggressive malignancy affecting young women in their twenties, effective targeted therapeutics are urgently needed. We used global proteomics to identify a deficiency in arginosuccinate synthase (ASS1) as a common feature among some rare ovarian cancer subtypes. Using in-vitro and in-vivo models, we demonstrated that the arginine-depriving investigational agent ADI-PEG20 effectively inhibited cell growth in ASS1 deficient ovarian cancers including SCCOHT, establishing it as a potential therapeutic agent for rare ovarian cancer subtypes deficient in ASS1. Further clinical investigation is warranted.

4513 Background: Recent evidence suggests that the gut microbiome is a potent mediator of immune checkpoint inhibitor (ICI) activity in metastatic renal cell carcinoma (mRCC), with both specific bacterial species and cumulative microbial diversity driving response (Routy et al Science 2018; Salgia et al Eur Urol 2020). We examined whether the butyrate-producing bacterium Clostridium butyricum, the key constituent of CBM-588, could modulate the gut microbiome in patients (pts) with mRCC receiving nivolumab/ipilimumab (N/I) and secondarily improve clinical outcome. Methods: An open-label, randomized study was conducted, with key eligibility criteria including confirmed clear cell and/or sarcomatoid mRCC, intermediate/poor risk by IMDC criteria and no systemic therapy for metastatic disease. Patients were randomized 2:1 to receive either N/I+CBM-588 or N/I alone. N/I was dosed at 3 mg/kg and 1 mg/kg IV every 3 weeks for 12 weeks, followed by N at 480 mg IV every 4 weeks. CBM-588 was dosed orally at 80 mg bid. Stool was collected for bacteriomic profiling at baseline and 12 weeks. Metagenomic sequencing was employed using previously published methods (Dizman et al Cancer Med 2020). The primary endpoint of the study was change in Bifidobacterium spp. from baseline to week 12. Secondary endpoints included change in microbial diversity and clinical outcomes including response rate (RR) and progression-free survival (PFS). Results: 30 pts were randomized between April 2019 and Nov 2020; 1 pt was excluded after genomic sequencing clarified a diagnosis of sarcoma. Among 29 evaluable patients (21:8 M:F), median age was 66, 10 pts (34%) had sarcomatoid features and 24 pts (83%) were intermediate risk. Metagenomic sequencing of paired stool specimens showed an 8-fold increase in B. bifidum and a 6-fold increase in B. adolescentis in pts receiving N/I+CBM-588 from baseline to week 12. C. butyricum was detected only in pts receiving CBM-588. Pathogenic species (e.g., Escherichia. coli and Klebsiella spp.) were more prevalent in pts not receiving CBM-588. RR was significantly higher among pts receiving N/I+CBM-588 vs N/I alone (59% vs 11%; P = 0.024). Median PFS was also prolonged with the addition of CBM-588 to N/I (NR vs 11 weeks; P < 0.001). No significant difference in grade 3/4 toxicities were observed between study arms. Conclusions: This is the first randomized, prospective study to suggest enhancement of ICI response with a live bacterial product. The observed clinical impact is corroborated by biologic findings supporting gut modulation by CBM-588. Clinical trial information: NCT03829111.

10006 Background: The major genomic profiling studies that have helped define the molecular landscapes of pediatric cancers have typically focused on untreated pediatric cancers at diagnosis. Despite improvements in overall survival for childhood cancers, patients with treatment-refractory or relapsed (R/R) solid tumors face a poor prognosis. The genomic underpinnings of R/R disease are less well-characterized. Here, we describe the integrated genomic and transcriptomic analysis of 250 R/R solid tumors from 202 children profiled within precision medicine studies (NCT01355679, NCT01802567, NCT02162732) conducted by the Beat Childhood Cancer Consortium. Methods: Tumor-normal whole-exome and tumor mRNA sequencing was performed by Ashion Analytics (Phoenix, Arizona), a CAP-accredited, CLIA-certified laboratory, or within the research setting at TGen. Longitudinal tumor samples were sequenced for 20 patients. Variant calling included single nucleotide variants, indels, copy number alterations, and fusions. Integrated genomic and transcriptomic research analysis included microsatellite instability assessment, immunogenomic profiling, and functional gene set enrichment analysis. Results: Forty-six tumor types were represented, grouped into four general categories: sarcomas (36.1%; n = 73), neuroblastomas (29.2%; n = 59), CNS tumors (23.3%; n = 47), and other rare tumors (11.4%; n = 23). For patients with whole exome sequencing data, 78.3% (n = 144/184) of tumors bore a somatic alteration in at least one known cancer gene. Over one-third (39.1%; 72/184) of the cohort bore oncogenic fusions and/or oncogenic/likely-oncogenic hotspot mutations in a known cancer gene. Pathognomonic fusions were identified in 25% (46/184) of tumors, occurring most frequently in sarcomas. Pathogenic or likely pathogenic germline variants were identified in 8.7% (16/184) of patients. Microsatellite instability was detected in five different tumor types. Despite nearly all tumors (94%, 173/184) having at least one predicted strong binding neoantigen, over a quarter of tumors lacked transcript expression of these neoantigens or exhibited low MHC class I expression. Further, a subset of tumors showed elevated expression of the co-inhibitory immune checkpoint molecule PDL1. Transcriptional analysis and functional gene set enrichment analysis identified cross-pathology tumor clusters associated with immune signaling, development, and cellular signaling pathways. Longitudinal analysis revealed temporal heterogeneity pointing to the importance of re-biopsy at relapse for targeted treatment planning. Conclusions: Together, these data suggest R/R childhood solid tumors exhibit shared molecular features that are reflective of underlying biology, demonstrating the importance of comprehensive profiling to inform molecularly-guided treatment of R/R disease.

10603 Background: Clinicians have used strict criteria to determine eligibility for cancer susceptibility (CS) testing and have limited genetic assessment to cancer-related genes. However, half of all CS mutation carriers are missed by criteria-based testing and there may be an unrecognized opportunity to modify care for patients who have rare but actionable genetic disorders as defined by the American College of Medical Genetics (ACMG). With the aim of improving patient outcomes through precision genomics, we initiated an enterprise-wide program to offer somatic and germline sequencing to all patients. Methods: We offer consented patients clinical grade paired somatic & germline WES/ RNA seq and panel germline testing for cancer (156 genes) and ACMG disorders (59 genes). Results are reviewed by a Precision Oncology Tumor Board. Somatic results are returned by the treating team. Germline results are returned by phone (genetic counselor, GC) followed by a clinic visit (GC+MD) for those with pathogenic/likely pathogenic (P/LP) mutations and selected variants of uncertain significant. We evaluated the proportions of patients with somatic findings suggestive of germline conditions and those carrying P/LP mutations in CS and ACMG genes. Results: 1,804 patients enrolled and received somatic sequencing: 52% female; 51% non-Hispanic White/ 20% Hispanic White/ 18% Asian/ 4% Black/ 7% other; median age 64. Review of somatic data suggest that 14% have findings suggestive of germline conditions based on factors such as TMB, MSI, and young age. Of the patients offered germline testing, >95% opted to receive CS/ACMG results. To date, we have sequenced 684 patients for CS and 647 for ACMG. 18% of patients had P/LP mutations in CS genes and 4% had P/LP mutations in ACMG non-cancer genes (Table). Conclusions: Prospective somatic/germline sequencing of unselected cancer patients reveals tumor findings suggestive of germline disorders and identifies patients with CS and non-cancer genetic conditions. These findings highlight the promise of a comprehensive sequencing approach to help guide cancer treatment, management of unrecognized cancer risk and the need for concomitant management of rare disorders such as arrhythmogenic cardiomyopathy and susceptibility to adverse reactions with anesthesia.[Table: see text]

282 Background: TERT and BAP1 mutations are associated with poor clinical outcome in patients (pts) with metastatic renal cell carcinoma (mRCC) (Dizman et al JITC 2020; Joseph et al J Urol 2016). In this study we explore radiogenomics as a non-invasive method to identify these alterations. Methods: Pts with mRCC who had genomic testing in the course of routine clinical care were included in the current analysis. Pts were assessed with the GEM Extra assay, a CAP-accredited, CLIA-certified test encompassing paired tumor-normal whole exome sequencing (WES) and tumor whole transcriptome sequencing (TGen; Phoenix, AZ). Pts underwent CT imaging; radiomic analysis was performed on the segmented metastatic and primary lesions. Features were independently correlated with TERT and BAP1 mutation status to generate Pearson correlation values (PCVs). Results: 92 pts (65:27 M: F) were included in the analysis; of these, the majority of pts (84%) had clear cell histology. Alterations in the TERT gene were seen in 12 pts. In these pts 1,325 radiomic features of the primary tissue were examined and 251 features correlated with a PCV ≥ |0.2|. Of these, 42 features were correlated with a PCV ≥ |0.3|. Highest correlation with TERT mutation was seen with Gray Level Cooccurrence Matrix (GLCM) and First Order Features (FOF). 9 pts had BAP1 mutation with 5 detected in primary tumor and 4 in metastatic sites. Analysis of primary tumor imaging yielded no significant associations between radiomic features and BAP1 mutation. However, out of approximately 1,500 radiomic features noted in metastatic sites, 111 features correlated with BAP1 mutation with a PCV ≥ 0.2. Of these, 15 features correlated with a PCV ≥ 0.3. The radiomic features with the highest correlation with BAP1mt were Gray Level Dependence Matrix (GLDM) and GLCM. Conclusions: By identifying a correlation between radiomic features of TERT mutation in primary tumors and BAP1 mutation in metastatic sites, our work may ultimately yield a non-invasive method of discerning mutational status in patents with mRCC. Efforts are ongoing to validate our findings within The Cancer Imaging Archive.

337 Background: Previous studies have associated specific stool bacterial species with response to both targeted therapy and immunotherapy (Routy et al Science 2018; Dizman et al Cancer Med 2020). Abundant fungal elements also constitute the human microbiome (the so-called “mycobiome”); we explore whether these could be related to clinical benefit (CB) from TT. Methods: Pts from 2 simultaneously conducted studies were included in the analysis. Both studies enrolled patients with histologically confirmed RCC with metastatic disease; in one study, pts received standard of care (SOC) TT, while in the other pts received SOC IO. In both studies, stool was collected at baseline and at multiple timepoints thereafter. Whole metagenome sequencing was performed for fungal microbiome composition (TGen North, AZ). Linear discriminant analysis (LDA) effect size (LEfSe) was used for comparison of the gut mycobiome in patients who obtained clinical benefit (CB; complete response, partial response or stable disease > 6mos) versus no clinical benefit (NCB; progressive disease or stable disease ≤6mos) from TT or IO. Results: A total of 50 samples from 24 pts (19:5 M:F) were included in the analysis. The majority of pts (19; 79%) had clear cell histology. 15 pts received TT while 9 pts received IO. The fungal genera demonstrating the highest abundance was Saccharomyces with a median relative abundance of 86.9% (range, 11%-99%). LEfSe performed in different taxonomic levels revealed Malassezia globosa (LDA = 4.93; P = 0.038) and Alternaria infectoria (LDA 4.94; P = 0.018) as gut mycobiome components associated with NCB, and order Russulales associated with CB from TT (LDA = 4.93; P = 0.018). In contrast, no association was identified between mycobiome profile and CB in the IO-treated group. The presence of several pathogenic fungi such as Candida albicans and Aspergillus fumigatus was noted in a minority of pts and did not have any bearing on clinical outcome. In pts with serial samples, a trend towards decreasing Saccharomyces spp. (the most abundant species) and increasing fungal diversity was noted. Conclusions: Our study is the first to highlight potential associations between the mycobiome and CB with TT. Our finding of Malassezia spp resulting in lack of CB with TT bolsters findings from Aykut et al (Nature 2019), implicating the same genera in progression of pancreatic cancer. Confirmation of these findings in larger series is underway.

Background: Along with the expanding treatment landscape of mRCC, a substantial need for ways to predict individual patients' (pts) benefit from different therapies has emerged. Recent studies highlight the clinical significance of tumor-specific genomic alterations, revealing a prognostic and/or predictive role of PBRM1 mutations with IO in mRCC (Miao et al Nature 2018). Employing a large institutional database, we aimed to identify genomic correlates of CB from IO and VEGF-TKIs in mRCC. Methods: Consecutive pts who underwent genomic profiling (GP) as part of routine clinical care at the City of Hope Comprehensive Cancer Center were retrospectively identified. GP included the GEM ExTra assay, a clinical tumor-normal whole exome sequencing and tumor whole transcriptome sequencing test performed at Ashion Analytics (Phoenix, AZ), a CAP-accredited, CLIA-certified laboratory. The clinical database included detailed information regarding demographics, treatment, response and survival outcomes. Pts who had complete response (CR), partial response (PR) or stable disease (SD) for >6 months were considered as having CB. Progressive disease (PD) as best response was considered no clinical benefit (NCB). Genomic findings were compared between pts with CB and NCB in the IO and VEGF-TKI cohorts. Results: Among the 58 (45:13 M:F) pts, 17 received sequencing treatment involving both a VEGF-TKI and IO, resulting in 32 pts in the IO cohort and 43 pts in the VEGF-TKI cohort. The most commonly used IO and VEGF-TKIs were nivolumab (59%) and sunitinib (40%). CB rate and median progression free survival were 59.4% (CR: 3.1%, PR: 18.8%, SD: 37.5%) and 15.6 months (95%CI NR-NR) in the IO cohort, and 86% and 14.2 months (95%CI 9.0 - 18.5) in the VEGF-TKI cohort. The most frequently detected alterations in the overall cohort were in VHL (64%), PBRM1 (38%), SETD2 (24%), KDM5C (17%) and TERT (12%). Interestingly, TERT promoter mutations and PBRM1 mutations were found to be mutually exclusive. In both IO and VEGF-TKI cohorts, tumor mutational burden did not differ between CB and NCB pts. No single genes were significantly associated with CB from VEGF-TKIs. While PBRM1 loss of function (LOF) was more common in IO pts with CB, and SETD2, KDM5C, TP53 alteration were more common in IO pts with NCB, there was no statistical significance observed (p values > 0.05). TERT promoter mutations were associated with NCB in the IO cohort (p=0.038). TERT promoter mutant tumors did not have CB with IO. Conclusion: Our analysis found that TERT promoter mutations are enriched in pts with NCB from IO and were mutually exclusive with PBRM1 LOF which had previously been shown to be an indicator of IO sensitivity. These results suggest that TERT promoter mutations may be a negative predictor of IO outcomes, which warrants future investigations with a larger sample size. Citation Format: Nazli Dizman, Sara Byron, Yung Lyou, Paulo Gustavo Bergerot, JoAnn Hsu, Andre-Philippe Sam, Denise Phan Trieu, Jeffrey Trent, Sumanta Kumar Pal. Identifying the genomic correlates of clinical benefit (CB) from immunotherapies (IO) and vascular endothelial growth factor-tyrosine kinase inhibitors (VEGF-TKI) in metastatic renal cell carcinoma (mRCC) [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1312.

5076 Background: Previous studies have delineated PBRM1 alterations as a prognostic indicator for response to nivolumab in mRCC (Miao et al Science 2018). However, further clinically-relevant biomarkers remain elusive in mRCC. Herein, we utilized genomic profiling to detect correlates of clinical benefit (CB) among patients (pts) with mRCC receiving VEGF-directed targeted therapy, immunotherapy, or both. Methods: Pts with mRCC who underwent clinical tumor-normal whole exome and whole transcriptome RNA sequencing (Ashion Analytics, Phoenix, AZ) were retrospectively identified at a single institution. Pts’ demographics and clinical variables including treatment type, treatment response, and survival outcomes were collected from an institutional mRCC database. Pts who had received immunotherapy or VEGF-directed therapy (or both) were eligible for analysis. CB was defined as pts who experienced a complete response, partial response, or maintained stable disease for at least 6 months on therapy. Two-tailed Fisher’s exact test was used to assess characteristics of genomic alterations and clinical benefit. Results: Out of 155 mRCC pts with genomic profiling, 58 pts with evaluable response and sufficient follow-up information were included in the analysis. The median age of the cohort was 63 years and 74% were male. The majority (81%) had clear cell histology. 43 pts received targeted therapy and 32 received immunotherapy (17 pts received both). No singular gene was associated with clinical benefit in the targeted therapy cohort. PBRM1 loss of function mutations were more frequent in pts on immunotherapy who experienced CB (p > 0.05). TERT promoter mutations were enriched in pts who experienced no CB on immunotherapy (p = 0.04). Differential gene expression analysis of the transcriptomes found 135 genes that were significantly upregulated in TERT-mutated samples, including SST, CYSLTR2, WNK2, and PTGES (adjusted p-value < 0.05). ENRICHR analysis found that MYC and KAT2A were key transcription factor pathways significantly enriched in pts with TERT mutation who experienced no CB from immunotherapy. Conclusions: These data support previous observations regarding the prognostic nature of PBRM1 in mRCC and offer novel findings associating TERT mutations with a lack of CB from immunotherapy. Our transcriptomic analysis implies that MYC-targeting agents and epigenetic modifiers (directed at KAT2A) could overcome immunotherapy resistance.

Integrated sequencing strategies have provided a broader understanding of the genomic landscape and molecular classifications of multiple cancer types and have identified various therapeutic opportunities across cancer subsets. Despite pivotal advances in the characterization of genomic alterations in glioblastoma, targeted agents have shown minimal efficacy in clinical trials to date, and patient survival remains poor. In this review, we highlight potential reasons why targeting single alterations has yielded limited clinical efficacy in glioblastoma, focusing on issues of tumor heterogeneity and pharmacokinetic failure. We outline strategies to address these challenges in applying precision medicine to glioblastoma and the rationale for applying targeted combination therapy approaches that match genomic alterations with compounds accessible to the central nervous system.

The primary objective of the study was to evaluate the feasibility and safety of a process which would utilize genome-wide expression data from tumor biopsies to support individualized treatment decisions. Current treatment options for recurrent neuroblastoma are limited and ineffective, with a survival rate of

Choroid plexus carcinomas (CPCs) are rare, aggressive pediatric brain tumors with no established curative therapy for relapsed disease, and poor survival rates. TP53 Mutation or dysfunction correlates with poor or no survival outcome in CPCs. Here, we report the case of a 4 month-old female who presented with disseminated CPC. After initial response to tumor resection and adjuvant-chemotherapy, the tumor recurred and metastasized with no response to aggressive relapse therapy suggesting genetic predisposition. This patient was then enrolled to a Molecular Guided Therapy Clinical Trial. Genomic profiling of patient tumor and normal sample identified a TP53 germline mutation with loss of heterozygosity, somatic mutations including IDH2, and aberrant activation of biological pathways. The mutations were not targetable for therapy. However, targeting the altered biological pathways (mTOR, PDGFRB, FGF2, HDAC) guided identification of possibly beneficial treatment with a combination of sirolimus, thalidomide, sunitinib, and vorinostat. This therapy led to 92% reduction in tumor size with no serious adverse events, excellent quality of life and long term survival.

Structured AbstractPurpose: Subunits of the SWI/SNF chromatin-remodeling complex are tumor suppressors inactivated in ∼20% of all cancers. Yet, few targeted treatments for SWI/SNF-mutant cancers exist. Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is a rare, aggressive ovarian cancer in young women that is universally driven by loss of the SWI/SNF ATPase subunits, SMARCA4 and SMARCA2. Given poor two-year survival rates for these women, a great need exists for effective targeted therapies.Experimental Design: To identify underlying therapeutic vulnerabilities in SCCOHT, we conducted high-throughput siRNA and drug screens. Complementary proteomics approaches comprehensively profiled kinases inhibited by ponatinib. Ponatinib was tested for efficacy in two PDX models and one cell line xenograft model of SCCOHT.Results: FGFRs and PDGFRs were overlapping hits between screens and the receptor tyrosine kinase (RTK) family was enriched in the siRNA screen hits. Evaluation of eleven RTK inhibitors in three SCCOHT cell lines identified ponatinib, an inhibitor of multiple RTKs, as the most effective clinically approved agent. Proteomics approaches confirmed inhibition of known targets of ponatinib and more than 20 non-canonical ponatinib targets. Ponatinib also delayed tumor doubling time 4-fold in SCCOHT-1 xenografts and reducing final tumor volumes in two SCCOHT patient-derived xenograft (PDX) models by 58.6% and 42.5%.Conclusion: Ponatinib is an effective agent for SCCOHT in both in vitro and in vivo preclinical models through its inhibition of multiple kinases. Clinical investigation of this FDA-approved oncology drug in SCCOHT is warranted.Additional InformationThis work was supported by research funds from the Canadian Cancer Society Research Institute 34 (#703458, D.G.H.), the National Institutes of Health (R01 CA195670-01, B.E.W., D.G.H., and 35 J.M.T., and T32 HL007106-39 to E.M.C), the Terry Fox Research Institute Initiative New Frontiers Program in Cancer (#1021, D.G.H.), the British Columbia Cancer Foundation (D.G.H.), the VGH & UBC Foundation (D.G.H.), the Anne Rita Monahan Foundation (P.R.), the Marsha Rivkin Center for Ovarian Cancer Research (J.M.T.), the Ovarian Cancer Alliance of Arizona (J.M.T.), the Small Cell Ovarian Cancer Foundation (P.R., J.D.L., B.V., and J.M.T.), and philanthropic support to the TGen Foundation (J.M.T.).COI disclosure statement: The authors declare no potential conflicts of interest.

Purpose: Glioblastoma is an aggressive and molecularly heterogeneous cancer with few effective treatment options. We hypothesized that next-generation sequencing can be used to guide treatment recommendations within a clinically acceptable time frame following surgery for patients with recurrent glioblastoma. Experimental Design: We conducted a prospective genomics-informed feasibility trial in adults with recurrent and progressive glioblastoma. Following surgical resection, genome-wide tumor/normal exome sequencing and tumor RNA sequencing were performed to identify molecular targets for potential matched therapy. A multidisciplinary molecular tumor board issued treatment recommendations based on the genomic results, blood–brain barrier penetration of the indicated therapies, drug–drug interactions, and drug safety profiles. Feasibility of generating genomics-informed treatment recommendations within 35 days of surgery was assessed. Results: Of the 20 patients enrolled in the study, 16 patients had sufficient tumor tissue for analysis. Exome sequencing was completed for all patients, and RNA sequencing was completed for 14 patients. Treatment recommendations were provided within the study's feasibility time frame for 15 of 16 (94%) patients. Seven patients received treatment based on the tumor board recommendations. Two patients reached 12-month progression-free survival, both adhering to treatments based on the molecular profiling results. One patient remained on treatment and progression free 21 months after surgery, 3 times longer than the patient's previous time to progression. Analysis of matched nonenhancing tissue from 12 patients revealed overlapping as well as novel putatively actionable genomic alterations. Conclusions: Use of genome-wide molecular profiling is feasible and can be informative for guiding real-time, central nervous system–penetrant, genomics-informed treatment recommendations for patients with recurrent glioblastoma. Clin Cancer Res; 24(2); 295–305. ©2017 AACR. See related commentary by Wick and Kessler, p. 256

BACKGROUND African American men (AA) exhibit a disproportionate share of prostate cancer (PRCA) incidence, morbidity, and mortality. Several genetic association studies have implicated select 8q24 loci in PRCA risk in AA. The objective of this investigation is to evaluate the association between previously reported 8q24 risk alleles and PRCA in African-Barbadian (AB) men known to have high rates of PRCA. METHODS Ten previously reported candidate tag SNPs were genotyped and/or imputed in the 8q24 region in 532 AB men with PRCA and 513 AB controls from the Prostate Cancer in a Black Population (PCBP) study. RESULTS Rs2124036 was significant in AB men, (OR = 2.7, 95% CI (1.3–5.3), P = 0.005, Empirical (max (T), corrected for multiple testing) P = 0.03) for the homozygous C/C genotype. Only a single SNP from this region remained statistically significant in our analysis of our AB population. These results may indicate the presence of a founder effect or due to the chosen SNPs not tagging an ancestral haplotype bearing the 8q24 risk allele(s) in this population or could reflect inadequate power to detect an association. We conducted a meta-analysis including our AB population along with two additional African Caribbean populations from Tobago and Jamaica for SNPs rs16901979 and rs1447295. Meta-analysis results were most significant for rs16901979 A allele (Z score 2.73; P = 0.006) with a summary OR = 1.31 (95% CI: 1.09–1.58). CONCLUSIONS Additional studies are needed to provide deeper genotype coverage to further interrogate the 8q24 region to understand its contribution to PRCA in this population. Prostate 74: 1579–1588, 2014. © 2014 Wiley Periodicals, Inc.

Breakthroughs in molecular profiling technologies are enabling a new data-intensive approach to biomedical research, with the potential to revolutionize how we study, manage, and treat complex diseases. The next great challenge for clinical applications of these innovations will be to create scalable computational solutions for intelligently linking complex biomedical patient data to clinically actionable knowledge. Traditional database management systems (DBMS) are not well suited to representing complex syntactic and semantic relationships in unstructured biomedical information, introducing barriers to realizing such solutions. We propose a scalable computational framework for addressing this need, which leverages a hypergraph-based data model and query language that may be better suited for representing complex multi-lateral, multi-scalar, and multi-dimensional relationships. We also discuss how this framework can be used to create rapid learning knowledge base systems to intelligently capture and relate complex patient data to biomedical knowledge in order to automate the recovery of clinically actionable information.

OBJECTIVE: Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) is an aggressive tumor, with long term survival at ~30% in early stage disease. SCCOHT is caused by germline and somatic SMARCA4 mutations, but the effect of the mutation type on patients remains unknown. Furthermore, the rarity of SCCOHT has resulted in varied treatment, with no standardized protocols. We analyzed 293 cases to determine the effect of treatment modalities and SMARCA4 mutations on patient diagnosis and outcome. METHODS: In 293 SCCOHT patients we collected information on age and stage at diagnosis, treatment modality (surgery, chemotherapy, radiotherapy, and/or high-dose chemotherapy with autologous stem cell rescue (HDC-aSCR)), SMARCA4 mutation origin (germline/somatic), and overall survival. Cox analysis and log-rank tests were performed on 257 cases with available survival data. RESULTS: The strongest prognostic factors were stage at diagnosis (p = 2.72e-15) and treatment modality (p = 3.87e-13). For FIGO stages II-IV, 5-year survival was 71% for patients who received HDC-aSCR, compared to 25% in patients who received conventional chemotherapy alone following surgery (p = 0.002). Patients aged ≥40 had a worse outcome than younger patients (p = 0.04). Twenty-six of 60 tested patients carried a germline SMARCA4 mutation, including all patients diagnosed

Scientists gather to survey comparative oncology research and pinpoint potential contributions to human therapeutics.

BACKGROUND: While the poor prognosis for high risk neuroblastoma (HRNB) underscores the need for new treatment strategies, the elucidation of specific biologic subsets of neuroblastoma suggests a way to improve disease management. The identification of agents that target specific molecular pathways associated with the development or progression of diseases holds promise. The hypotheses for this study were that: 1) the incorporation of a targeted therapy, selected based upon upfront genomic interrogation of the tumor, into standardized induction chemotherapy for HRNB is feasible and may increase the PR/CR/VGPR response rate at the end of Induction therapy; and 2) that the addition of DFMO as maintenance therapy during and for 2 years after the completion of immunotherapy is safe and may decrease the relapse rate. METHODS: A prospective, multicenter feasibility pilot clinical trial in subjects with newly diagnosed HRNB within the Beat Childhood Cancer Consortium. At diagnosis, patients' tumors underwent DNA exome and RNA sequencing which were analyzed within a molecular tumor board to identify the single best drug out of 6 targeted agents to be added to cycles 3-6 of induction chemotherapy. After consolidation with ASCT and radiation, the patients received DFMO along with standard dinutuximab and retinoic acid and DFMO for 2 years after immunotherapy. Patients were evaluated for additional toxicities with the addition of targeted agents and DFMO in addition to induction response. RESULTS: The pilot study of 20 eligible patients has shown this process to be feasible. To date, 20 patients have completed induction through immunotherapy portions of the study. The combination of targeted agent with chemotherapy was shown to be safe without any unexpected toxicities. Delays experienced between induction cycles were less than 2 weeks and related to surgery, infection, or thrombocytopenia. The induction response demonstrated an 88% CR/VGPR/PR rate, which suggests improvement over historical 80%. In addition, the combination of DFMO with dinutuximab and retinoic acid was well tolerated and safe without additional toxicities. CONCLUSION: The pilot study of 20 patients has shown the process of sequencing and the addition of a targeted agent to upfront chemotherapy is feasible and safe without any unexpected toxicities. Citation Format: Jacqeline Kraveka, Valerie Brown, William Ferguson, Genevieve Bergendahl, William Roberts, Jessica Foley, Deanna Mitchell, Javier Oesterheld, Michael Isakoff, Kathleen Neville, Randal Wada, Jawhar Rawwas, Gina Hanna, Abhinav Beeravally Nagulapally, Jeffrey Bond, Jeffrey Trent, William Hendricks, Sarah Byron, Giselle L. Saulnier Sholler. Peds-plan, pediatric precision laboratory advanced neuroblastoma therapy: Molecular guided therapy for high risk neuroblastoma at diagnosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr CT073.

S100P protein regulates calcium signal transduction and mediates cytoskeletal interaction, protein phosphorylation and transcriptional control. We have previously shown how elevated S100P levels in prostate cancer strongly correlate with progression to metastatic disease. In our study, we evaluated the functional significance of S100P expression on prostate tumor growth in vitro and in vivo. S100P levels were modulated by overexpressing S100P in PC3 prostate cancer cells and by silencing S100P levels in 22Rv1 prostate cancer cells. Overexpression of S100P in PC3 cells promoted cell growth, increased the percentage of S-phase cells, decreased basal apoptosis rate and promoted anchorage independent growth in soft agar. Furthermore, prostate cancer cells overexpressing S100P were protected against camptothecin-induced apoptosis. Conversely, silencing of S100P in 22Rv1 cells using siRNA resulted in a prominent cytostatic effect. The influence of S100P on tumor growth and metastases were assessed in vivo. S100P-overexpressing PC3 cells had a dramatically increased tumor formation compared to controls. Microarray analysis showed the involvement of growth pathways including increased androgen receptor expression in S100P-overexpressing cells. These results provide the first functional proof that S100P overexpression can upregulate androgen receptor expression and thereby promote prostate cancer progression by increasing cell growth. Moreover, the results confirm the oncogenic nature of S100P in prostate cancer and suggest that the protein may directly confer resistance to chemotherapy. Hence, S100P could be considered a potential drug target or a chemosensitization target, and could also serve as a biomarker for aggressive, hormone-refractory and metastatic prostate cancer. © 2008 Wiley-Liss, Inc.

With certain complex medical conditions, it is now both reasonable and feasible to use genomic and other molecular analyses to identify the true drivers underlying the condition and correlative studies to link those drivers to specific treatments.1 Such an approach has been variably described as personalized medicine or molecularly guided medicine, but the term precision medicine is most often used. Note that the use of terms such as personalized medicine and precision medicine to describe this approach is not meant to suggest that other medical approaches are not personalized or precise. Rather, such usage highlights the greater degree of precision afforded by genomic analysis of individual patients.

Background: The EphB2 gene was recently implicated as a prostate cancer (PC) tumour suppressor gene, with somatic inactivating mutations occurring in ∼10% of sporadic tumours. We evaluated the contribution of EphB2 to inherited PC susceptibility in African Americans (AA) by screening the gene for germline polymorphisms. Methods: Direct sequencing of the coding region of EphB2 was performed on 72 probands from the African American Hereditary Prostate Cancer Study (AAHPC). A case-control association analysis was then carried out using the AAHPC probands and an additional 183 cases of sporadic PC compared with 329 healthy AA male controls. In addition, we performed an ancestry adjusted association study where we adjusted for individual ancestry among all subjects, in order to rule out a spurious association due to population stratification. Results: Ten coding sequence variants were identified, including the K1019X (3055A→T) nonsense mutation which was present in 15.3% of the AAHPC probands but only 1.7% of 231 European American (EA) control samples. We observed that the 3055A→T mutation significantly increased risk for prostate cancer over twofold (Fisher’s two sided test, p = 0.003). The T allele was significantly more common among AAHPC probands (15.3%) than among healthy AA male controls (5.2%) (odds ratio 3.31; 95% confidence interval 1.5 to 7.4; p = 0.008). The ancestry adjusted analyses confirmed the association. Conclusions: Our data show that the K1019X mutation in the EphB2 gene differs in frequency between AA and EA, is associated with increased risk for PC in AA men with a positive family history, and may be an important genetic risk factor for prostate cancer in AA.

It is widely hypothesized that the interactions of multiple genes influence individual risk to prostate cancer. However, current efforts at identifying prostate cancer risk genes primarily rely on single-gene approaches. In an attempt to fill this gap, we carried out a study to explore the joint effect of multiple genes in the inflammation pathway on prostate cancer risk. We studied 20 genes in the Toll-like receptor signaling pathway as well as several cytokines. For each of these genes, we selected and genotyped haplotype-tagging single nucleotide polymorphisms (SNP) among 1,383 cases and 780 controls from the CAPS (CAncer Prostate in Sweden) study population. A total of 57 SNPs were included in the final analysis. A data mining method, multifactor dimensionality reduction, was used to explore the interaction effects of SNPs on prostate cancer risk. Interaction effects were assessed for all possible n SNP combinations, where n = 2, 3, or 4. For each n SNP combination, the model providing lowest prediction error among 100 cross-validations was chosen. The statistical significance levels of the best models in each n SNP combination were determined using permutation tests. A four-SNP interaction (one SNP each from IL-10, IL-1RN, TIRAP, and TLR5) had the lowest prediction error (43.28%, P = 0.019). Our ability to analyze a large number of SNPs in a large sample size is one of the first efforts in exploring the effect of high-order gene-gene interactions on prostate cancer risk, and this is an important contribution to this new and quickly evolving field.

The Oncogenomics Conference was held on February 2 to 5, 2005 at the Omni San Diego Hotel, San Diego, CA. The meeting chairpersons were Dr. Jeffrey Trent (Translational Genomics Research Institute, Phoenix, AZ) and Dr. Nicholas Dracopoli (Bristol-Myers Squibb Pharmaceutical Research Institute, Princeton, NJ). This fourth conference sponsored by the AACR brought together a diverse group of scientists working in the fields of genome research, cancer biology, and epidemiology, and explored how genomic research can be used most effectively to impact the clinical response to cancer. Advances in the clinical application of pharmacogenomics to predict response to oncology therapeutic modalities led to a dramatic increase in the number of presentations and posters with a clinical focus at this year's meeting. The keynote address was given by Dr. William Evans (St. Jude Children's Hospital, Memphis, TN) who discussed the pharmacogenomics of acute lymphoblastic leukemia as a cancer paradigm.

BACKGROUND One of the difficulties confronting genetic studies of prostate cancer is the complex and heterogeneous etiology. Given the high population frequency of lesions meeting the histological definition of prostate cancer, a significant portion of men with a positive family history may be diagnosed due to increased surveillance and associated higher likelihood of biopsy. Over diagnosis decreases power to detect genes that increase susceptibility to a clinically significant prostate cancer. METHODS We re-evaluated all 623 men with prostate cancer in our 188 hereditary prostate cancer families and identified a subset of 244 men with more aggressive disease based upon meeting at least one of the following clinical and/or pathologic criteria: tumor grade Gleason score ≥7, tumor stage T2c or higher, pretreatment PSA ≥20 ng/ml, rising PSA after treatment, evidence of metastasis, or death from prostate cancer. RESULTS Genome-wide screens were re-performed by defining men as affected only if they met the criteria for clinically significant disease. The new analyses identified stronger evidence for linkage in Xq27-28 and 22q, as well as several novel loci, including 3p and 9p. CONCLUSIONS Although, these results need to be confirmed in independent studies, our approach represents an important step to overcome the impact of over diagnosis in genetic studies of prostate cancer. Larger studies that incorporate this approach are needed. © 2005 Wiley-Liss, Inc.

Background: Prostate cancer represents a substantial public health burden worldwide. It is the second leading cause of cancer death among men in the United States. A family history of the disease is among the most well-established risk factors for prostate cancer. Efforts to localize prostate can cer susceptibility alleles by using genetic linkage analysis methods have been hindered by genetic heterogeneity, incomplete penetrance, disease phenocopies, and the lack of DNA samples from parents of individuals with late-onset prostate cancer. Methods: We performed a combined genome-wide linkage analysis among 426 families from four existing hereditary prostate cancer (HPC) study population to systematically search for prostate cancer susceptibility genes. To decrease the degree of locus heterogeneity, we analyzed subsets of families with similar clinical and demographic characteristics. Nonparametric multipoint linkage was the primary method of analysis. Results are presented as allele-sharing logarithm of the odds (LOD) scores, and all reported P values are two-sided. Results: The strongest evidence for prostate cancer linkage was found at chromosome region 17q22 (nonparametric multipoint Kong and Cox allele-sharing LOD score = 3.16 at marker D17S787; P = .00007). Stratified analyses revealed several additional chromosomal regions that are likely to segregate prostate cancer susceptibility genes among specific subsets of HPC families, including 15q11 among families with late-onset disease (allele-sharing LOD = 5.57 at marker D15S128; P

BACKGROUND In order to identify predisposition loci to hereditary prostate cancer (HPC), we performed a genome-wide linkage analysis using samples from a genetically homogeneous population, with 13 Finnish multiplex prostate cancer families. METHODS Altogether 87 DNA samples were genotyped from 13 families. Logarithm-of-odds (LOD) scores were calculated for all autosomes using FASTLINK and GENEHUNTER designating all unaffected men and all women as unknown. RESULTS The highest LOD scores in the affected-only analyses were found at 11q14, where the two-point LOD score was 2.97 (θ = 0.0 at D11S901), GENEHUNTER heterogeneity LOD (HLOD) of 3.36, and a non-parametric-linkage (NPL) score of 2.67 (P = 0.008). A second positive site was at 3p25-26, with a two-point LOD score of 2.57 (θ = 0.01 at D3S1297), HLOD of 2.15, and NPL score of 2.27 (P = 0.02). CONCLUSIONS The results suggest two HPC regions in the Finnish population, which have not been reported previously and warrant further study. Prostate 57: 280–289, 2003. © 2003 Wiley-Liss, Inc.

BACKGROUND Previous linkage studies have suggested prostate cancer susceptibility genes located on chromosomes 1, 20, and X. Several putative prostate cancer candidate genes have also been identified including RNASEL, MSR1, and ELAC2. Presently, these linkage regions and candidate genes appear to explain only a small proportion of hereditary prostate cancer cases suggesting the need for additional whole genome analyses. METHODS A genome-wide mode-of-inheritance-free linkage scan, using 405 genetic markers, was conducted on 175 pedigrees, the majority containing three or more affected individuals diagnosed with prostate cancer. Stratified linkage analyses were performed based on previously established criteria. RESULTS Results based on the entire set of 175 pedigrees showed strong suggestive evidence for linkage on chromosome 17q (LOD = 2.36), with strongest evidence coming from the subset of pedigrees with four or more affected individuals (LOD = 3.27). Race specific analyses revealed strong suggestive evidence for linkage in our African-American pedigrees on chromosome 22q (LOD = 2.35). CONCLUSIONS Genome-wide analysis of a large set of prostate cancer families indicates new areas of the genome that may harbor prostate cancer susceptibility genes. Specifically, our linkage results suggest that there is a prostate cancer susceptibility gene on chromosome 17 that is independent of ELAC2. Further research including combined analyses of independent genome-wide scan data may clarify the most important regions for future investigation. Prostate 57: 326–334, 2003. Published 2003 Wiley-Liss, Inc.

Feature selection is problematic when the number of potential features is very large. Absent distribution knowledge, to select a best feature set of a certain size requires that all feature sets of that size be examined. This paper considers the question in the context of variable selection for prediction based on the coefficient of determination (CoD). The CoD varies between 0 and 1, and measures the degree to which prediction is improved by using the features relative to prediction in the absence of the features. It examines the following heuristic: if we wish to find feature sets of size m with CoD exceeding δ, what is the effect of only considering a feature set if it contains a subset with CoD exceeding λ δ | max{θ1,θ2,...,θv} < λ), where θ is the CoD of the feature set and θ1,θ2,...,θv are the CoDs of the subsets. Such probabilities allow a rigorous analysis of the following decision procedure: the feature set is examined if max{θ1,θ2,...,θv} ≥ λ. Computational saving increases as λ increases, but the probability of missing desirable feature sets increases as the increment δ - λ decreases; conversely, computational saving goes down as λ decreases, but the probability of missing desirable feature sets decreases as δ - λ increases. The paper considers various loss measures pertaining to omitting feature sets based on the criteria. After specializing the matter to binary features, it considers a simulation model, and then applies the theory in the context of microarray-based genomic CoD analysis. It also provides optimal computational algorithms.

Genomic analyses of cutaneous melanoma (CM) have yielded biological and therapeutic insights, but understanding of non-ultraviolet (UV)-derived CMs remains limited. Deeper analysis of acral lentiginous melanoma (ALM), a rare sun-shielded melanoma subtype associated with worse survival than CM, is needed to delineate non-UV oncogenic mechanisms. We thus performed comprehensive genomic and transcriptomic analysis of 34 ALM patients. Unlike CM, somatic alterations were dominated by structural variation and absence of UV-derived mutation signatures. Only 38% of patients demonstrated driver BRAF/NRAS/NF1 mutations. Contrasting with CM, we observed PAK1 copy gains in 15% of patients, and somatic TERT translocations, copy gains, and missense and promoter mutations, or germline events, in 41% of patients. We further show that in vitro TERT inhibition has cytotoxic effects on primary ALM cells. These findings provide insight into the role of TERT in ALM tumorigenesis, and reveal preliminary evidence that TERT inhibition represents a potential therapeutic strategy in ALM. Citation Format: Winnie S. Liang, William Hendricks, Jeffrey Kiefer, Jessica Schmidt, Shobana Sekar, John Carpten, David W. Craig, Jonathan Adkins, Lori Cuyugan, Zarko Manojlovic, Rebecca F. Halperin, Adrienne Helland, Sara Nasser, Christophe Legendre, Laurence H. Hurley, Karthigayini Sivaprakasam, Douglas B. Johnson, Holly Crandall, Klaus J. Busam, Victoria Zismann, Valerie De Luca, Jeeyun Lee, Aleksandar Sekulic, Charlotte E. Ariyan, Jeffrey Sosman, Jeffrey Trent. Integrated genomic analyses reveal frequent TERT aberrations in acral melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3389. doi:10.1158/1538-7445.AM2017-3389

1040 Background: Mutations (mut) in ESR1 have been reported in ER+ breast cancers (BC) as an acquired resistance mut to aromatase inhibitor (AI) therapy. Acquired ERBB2 mut have also been reported in MBC patients (pts) that cause activated ERBB2 signaling. The emergence of acquired secondary mut presents challenges in effective treatment approaches. Methods: Comprehensive genomic profiling was performed on 83 BC samples with 48 metastatic; 34 primary samples. Targeted next-generation sequencing was performed on 562 cancer associated genes in paired tumor and blood DNA (germline) samples. Results: ESR1-mut were found in 23%(11/48) of ER+ MBC tissues with no mut detected in primary ER+ BCs. Mutations-D538G, Y537S and E380Q in the ligand binding domain of ER were the most common alterations, found in 54.5%, 18% and 18% of ESR1 mut samples, respectively. An ER+ HER2- liver biopsy obtained after 20 mos on AI + everolimus had ESR1-D538G and TSC2 structural event. Protein array showed high expression of androgen receptor (AR) and p-AR and activation of ERBB1/2/3, p-SRC and p-4EBP1 in this sample. Further, a functionally uncharacterized ESR1 mut was found in ER+, HER2+ and a triple negative MBC tissue (the primary BC had been ER+). Mut in PI3K pathway (PIK3CA, ARID1A, TSC1/2, PTEN) were present in 8/11 samples with ESR1 mut. Activating mut in ERBB2 were found in 3/83 samples; all 3 were in ER+ MBC samples with one case harboring mut in both ERBB2 and ESR1 (E380Q – uncertain degree of constitutive activity). Interestingly, a BC sample with ER+ HER2- liver met harbored both ERBB2 (V777L) and ERBB3 (E928G) mut; this pt responded well to trastuzumab/pertuzumab (HP) therapy. A pt with ER+ HER2-ERBB2- L755S mut met to gallbladder found after 7 mos on letrozole/palbociclib therapy responded well to HP and T-DM1 therapy. All 3 ERBB2-mut cancers had a CDH1 frameshift mut suggesting enrichment in pretreated lobular MBCs (Ross J. CCR, 2013). Conclusions: This study shows a 23% and 6% ESR1 and ERBB2 mut rate in MBC samples. No ESR1 and ERBB2 mut were present in primary BC samples. Our findings suggest that pts with lobular MBC should be monitored for acquired ERBB2 mut, and that ERBB2 mut may not arise in BCs which harbor known constitutively active ESR1 mut.

The ability to rapidly sequence the tumor and germline DNA of an individual holds the eventual promise of revolutionizing our ability to match targeted therapies to tumors harboring the associated genetic biomarkers. Analyzing high throughput genomic data consisting of millions of base pairs and discovering alterations in clinically actionable genes in a structured and real time manner is at the crux of personalized testing. This requires a computational architecture that can monitor and track a system within a regulated environment as terabytes of data are reduced to a small number of therapeutically relevant variants, delivered as a diagnostic laboratory developed test. These high complexity assays require data structures that enable real-time and retrospective ad-hoc analysis, with a capability of updating to keep up with the rapidly changing genomic and therapeutic options, all under a regulated environment that is relevant under both CMS and FDA depending on application. We describe a flexible computational framework that uses a paired tumor/normal sample allowing for complete analysis and reporting in approximately 24 hours, providing identification of single nucleotide changes, small insertions and deletions, chromosomal rearrangements, gene fusions and gene expression with positive predictive values over 90%. In this paper we present the challenges in integrating clinical, genomic and annotation databases to provide interpreted draft reports which we utilize within ongoing clinical research protocols. We demonstrate the need to retire from existing performance measurements of accuracy and specificity and measure metrics that are meaningful to a genomic diagnostic environment. This paper presents a three-tier infrastructure that is currently being used to analyze an individual genome and provide available therapeutic options via a clinical report. Our framework utilizes a non-relational variant-centric database that is scaleable to a large amount of data and addresses the challenges and limitations of a relational database system. Our system is continuously monitored via multiple trackers each catering differently to the diversity of users involved in this process. These trackers designed in analytics web-app framework provide status updates for an individual sample accurate to a few minutes. In this paper, we also present our outcome delivery process that is designed and delivered adhering to the standards defined by various regulation agencies involved in clinical genomic testing.

Despite successful primary tumor treatment, the development of pulmonary metastasis continues to be the most common cause of mortality in patients with osteosarcoma. A conventional drug development path requiring drugs to induce regression of established lesions has not led to improvements for patients with osteosarcoma in more than 30 years. On the basis of our growing understanding of metastasis biology, it is now reasonable and essential that we focus on developing therapeutics that target metastatic progression. To advance this agenda, a meeting of key opinion leaders and experts in the metastasis and osteosarcoma communities was convened in Bethesda, Maryland. The goal of this meeting was to provide a “Perspective” that would establish a preclinical translational path that could support the early evaluation of potential therapeutic agents that uniquely target the metastatic phenotype. Although focused on osteosarcoma, the need for this perspective is shared among many cancer types. The consensus achieved from the meeting included the following: the biology of metastatic progression is associated with metastasis-specific targets/processes that may not influence grossly detectable lesions; targeting of metastasis-specific processes is feasible; rigorous preclinical data are needed to support translation of metastasis-specific agents into human trials where regression of measurable disease is not an expected outcome; preclinical data should include an understanding of mechanism of action, validation of pharmacodynamic markers of effective exposure and response, the use of several murine models of effectiveness, and where feasible the inclusion of the dog with naturally occurring osteosarcoma to define the activity of new drugs in the micrometastatic disease setting. Clin Cancer Res; 20(16); 4200–9. ©2014 AACR.

Partner and localizer of BRCA2 (PALB2) interacts with BRCA2 to enable double strand break repair through homologous recombination. Similar to BRCA2, germline mutations in PALB2 have been shown to predispose to Fanconi anaemia as well as pancreatic and breast cancer. The PALB2/BRCA2 protein interaction, as well as the increased melanoma risk observed in families harbouring BRCA2 mutations, makes PALB2 a candidate for melanoma susceptibility. In order to assess PALB2 as a melanoma predisposition gene, we sequenced the entire protein-coding sequence of PALB2 in probands from 182 melanoma families lacking pathogenic mutations in known high penetrance melanoma susceptibility genes: CDKN2A, CDK4, and BAP1. In addition, we interrogated whole-genome and exome data from another 19 kindreds with a strong family history of melanoma for deleterious mutations in PALB2. Here we report a rare known deleterious PALB2 mutation (rs118203998) causing a premature truncation of the protein (p.Y1183X) in an individual who had developed four different cancer types, including melanoma. Three other family members affected with melanoma did not carry the variant. Overall our data do not support a case for PALB2 being associated with melanoma predisposition.

BackgroundMolecularly-guided trials (i.e. PMed) now seek to aid clinical decision-making by matching cancer targets with therapeutic options. Progress has been hampered by the lack of cancer models that account for individual-to-individual heterogeneity within and across cancer types. Naturally occurring cancers in pet animals are heterogeneous and thus provide an opportunity to answer questions about these PMed strategies and optimize translation to human patients. In order to realize this opportunity, it is now necessary to demonstrate the feasibility of conducting molecularly-guided analysis of tumors from dogs with naturally occurring cancer in a clinically relevant setting.MethodologyA proof-of-concept study was conducted by the Comparative Oncology Trials Consortium (COTC) to determine if tumor collection, prospective molecular profiling, and PMed report generation within 1 week was feasible in dogs. Thirty-one dogs with cancers of varying histologies were enrolled. Twenty-four of 31 samples (77%) successfully met all predefined QA/QC criteria and were analyzed via Affymetrix gene expression profiling. A subsequent bioinformatics workflow transformed genomic data into a personalized drug report. Average turnaround from biopsy to report generation was 116 hours (4.8 days). Unsupervised clustering of canine tumor expression data clustered by cancer type, but supervised clustering of tumors based on the personalized drug report clustered by drug class rather than cancer type.ConclusionsCollection and turnaround of high quality canine tumor samples, centralized pathology, analyte generation, array hybridization, and bioinformatic analyses matching gene expression to therapeutic options is achievable in a practical clinical window (

Androgens are essential for prostate development, growth and maintenance and the association between androgen levels and prostate cancer is well established. Since the CYP17 gene encodes the enzyme cytochrome P450c17alpha, which mediates 17alpha-hydroxylase and 17,20-lyase activities in the androgen biosynthesis pathway, sequence variations in the gene and association with increased risk to prostate cancer has been studied. In particular, several groups have studied the association between a polymorphism in the 5' promoter region and prostate cancer using a population-based association approach. However, the results from these studies were inconclusive. To further study this polymorphism and its possible role in hereditary prostate cancer (HPC), we performed a genetic linkage analysis and family-based association analysis in 159 families, each of which contains at least 3 first-degree relatives with prostate cancer. In addition, we performed a population-based association analysis to compare the risk of this polymorphism to hereditary and sporadic prostate cancer in 159 HPC probands, 249 sporadic prostate cancer patients and 211 unaffected control subjects. Evidence for linkage at the CYP17 gene region was found in the total 159 HPC families (LOD = 1.3, p = 0.01, at marker D10S222). However, family-based association tests did not provide evidence for overtransmission of either allele of the CYP17 polymorphism to affected individuals in the HPC families. The allele and genotype frequencies of the polymorphism were not statistically different among the HPC probands, sporadic cases and unaffected control subjects. In conclusion, our results suggest that the CYP17 gene or other genes in the region may increase the susceptibility to prostate cancer in men; however, the polymorphism in the 5' promoter region has a minor role if any in increasing prostate cancer susceptibility in our study sample.