Ross, Jeffrey S.

474 Background: FLO is a rare variant of liver cancer that disproportionately affects young adults and is frequently progressive and fatal as it is often detected in a clinically advanced stage. It is seldom associated with cirrhosis of liver, viral hepatitis or other risk factors associated with conventional HCC. Treatment options are largely limited to surgical resection, and there is dearth of effective targeted therapies for FLO. Methods: Comprehensive genomic profiling (CGP) was performed using the Foundation Medicine Inc. (FMI) data base on 63 FLO and 1,793 HCC clinically advanced cases between 6/2013-12/2020 using a hybrid capture-based assay of up to 324 genes a to detect genomic alterations (GA), tumor mutational burden (TMB) and microsatellite instability (MSI). PD-L1 expression in tumor cells (Dako 22C3) was measured by IHC and scored using the tumor proportion score (TPS) method. Results: The FLO patients (pts) were significantly younger than HCC pts (median age 20 vs. 64, respectively) and the male preponderance was similar. The HCC group featured significantly more GA/tumor than FLO group (3.74 vs 1.31 p<.0001). In the currently untargetable GA group, CTNNB1, TERT and TP53 GA were significantly more frequent in HCC than FLO. GA in potentially targetable genes were extremely uncommon in both FLO and HCC with HCC featuring slightly more MTOR pathway targets ( PTEN, TSC2, NF1). GA in DNA damage and repair (DDR) pathway including BRCA2 were infrequent in both groups. GA in targetable kinases including EGFR, ERBB2, ALK, RET and PIK3CA were extremely uncommon in both groups. GA associated with intrahepatic cholangiocarcinoma (IDH1, FGFR2) were extremely uncommon in these tumors. Although the mean TMB was significantly higher in HCC than FLO, overall TMB was low with very few cases having TMB > 10 mutations/Mb. PD-L1 expression was relatively low in both groups. GA in genes associated with immune checkpoint inhibitors (ICPI) drug response like PBRM1, CD274, MDM2, STK11 were rarely identified in both groups. Additional details are illustrated in the table. Conclusions: Comparison of CGP of FLO with HCC illustrates the multifarious nature of these cancers. In HCC, there is a high prevalence of GA in TERT, CTNNB1 and TP53. CGP identified certain targetable GA in the MTOR and DDR pathways and TMB was higher in HCC. These findings warrant further evaluation of clinically advanced FLO and HCC pts by CGP to identify possible targetable genomic pathways. [Table: see text]

4009 Background: IDH1/2 genetic aberrations (GA) occur in 20% of IHCC cases and may be specifically targeted by IDH inhibitors. The genomic and immunologic profile of IHCC with IDH1/2 GA remains undefined. IDH1 mutations impair DNA damage repair (DDR), loss of heterozygosity (LOH) and may represent a biomarker for DDR in these patients. Methods: Comprehensive genomic profiling (CGP) was performed in 3,067 cases of advanced stage IHCC using a hybrid capture-based FDA-approved assay. Tumor mutational burden (TMB) was determined on 0.8 Mbp of sequenced DNA and microsatellite instability (MSI) was determined on 95 loci. PD-L1 expression in tumor cells (Dako 22C3) was measured by immunohistochemistry (IHC). Genomic LOH (gLOH) was assessed for samples meeting quality criteria. Densities of tumor associated immune cells and immune-checkpoint markers expressed in epithelial malignant cells and in the tumor microenvironment of 100 surgical samples from 96 patients were evaluated by IHC using digital image analysis of 14 markers (CD3, CD4, CD8, CD68, PD1,PD-L1, B7-H4, B7-H3, IDO1, ICOS, VISTA, OX40, TIM3, LAG3). Tissue microarrays were generated for multiplex immune panel analysis. A p value < 0.05 was considered statistically significant. Results: 426 (14%) of IHCC were IDH1+ and 125 (4%) were IDH2+ (Table) and were mutually exclusive. All IDH1 GA occurred at the R132 locus and included R132C (69%) and R132L/G/S/H/F (16%/7%/4%/3%/ < 1%) and 119Q ( < 1%) and IDH2 GA at R172 (94.4%) and R140 (6.6%). IDH1+ and IDH2+ IHCC had fewer co-occurring targetable GA than IDH1/2 wildtype (WT, IDHwt) cases including FGFR2 rearrangements (RE) (P <.0001), ERBB2 (P =.0009) and BRAF (P =.04). Median gLOH were not significantly different between IDH1+ IDH2+ IHCC vs. IDHwt IHCC (p = 0.37). Potential biomarkers of immune checkpoint inhibition (ICI) response including MSI High, TMB > 10 mut/Mb, and PD-L1 positivity were more frequent in IDHwt IHCC than IDH1+ IHCC. 29/96 (30%) surgical patients were positive for IDH1/2 mutation though mutational status did not confer a statistically significant difference in the 14 immune biomarker panel expression. Conclusions: CGP reveals significant differences in GA between IDH1+, IDH2+ and IDHwt IHCC consistent with IDH1 and IDH2 being driver oncogenes for IHCC. Immune biomarker expression and gLOH did not differ significantly between IDH mutated and WT cases.[Table: see text]

Abstract Background: Immune checkpoint inhibitors (ICPIs) have led to dramatic improvement in outcome of several cancers. Program death ligand1 (PD-L1) staining and tumor mutational burden (TMB) have emerged as independent predictive biomarkers of ICPIs in lung cancer. Here we examine the landscape of TMB and PD-L1 expression in breast cancer and present a case of patient with high TMB and PD-L1 negative breast cancer with exceptional response to ICPIs. Methods: Hybrid-capture based comprehensive genomic profiling of 395 cancer related genes using the FoundationOne assay was performed on 14,867 breast carcinomas sequenced in the course of routine clinical care. Ventana (SP-263) PD-L1 status (n=1425) and hormone receptor status was available for a subset of patients. Subgroup analyses were performed based on histological type [invasive lobular carcinoma (ILC, n=740)], molecular subtypes [ER-positive (ER+; n= 1371), HER2-amplified (HER2+; n=1522), and TNBC (n=917)], patient age (≤45, 46-60, ≥61), and local vs. metastatic disease (n=5241 and 6710). Results: Consistent with previous reports, the rates of positive PD-L1 staining are highest in TNBC (14%) and lowest in HER2+, ILC, and ER+ disease (6.0%, 5.1%, 2.3%). Interestingly, the rate of PD-L1 positivity, defined as ≥1% tumor staining, was significantly lower in metastatic disease vs. local disease (6.3% vs. 11.1%; p = 0.005). The frequency of high TMB, defined as &gt;10 mutations/mb, was greatest in ILC and HER2+ disease (13.6% and 9.9%) and lowest in TNBC and ER+ disease (7.0% and 6.9%). Rates of high TMB were associated with increased patient age (3.7%, 9.3%, and 12.8% frequency in patients ≤45, 46-60, and ≥61) and were significantly higher in metastatic vs. local disease (11.1% vs 5.3%; p&lt;2E-23). PD-L1 positive and TMB high populations were not significantly co-occurrent (OR = 1.02, p = 0.87). Similar percentages of PD-L1 positivity were observed in both TMB low (9.3%) and TMB high (9.5%). However, among patients with very high TMB (&gt;20 mut/mb), there was a significant association between TMB and PD-L1 positivity (OR = 2.6, p = 0.023). Nevertheless, even with high cutoff, 79% of the TMB high samples were PD-L1 negative. We also report on a stage IIIb (T4, N2, M0) ER+ HER2- breast cancer patient with high TMB (40muts/mb) and negative PD-L1 IHC who previously progressed on aromatase inhibitor with CDK4/6 inhibitor and chemotherapy but achieved durable complete response of &gt; 1 year with nivolumab in combination with capecitabine. Conclusions: Predictive biomarkers for ICPIs are critical to identify a subset of breast cancer patients who may respond to immunotherapy. TMB high and PD-L1 positivity do not significantly co-occur and the majority of TMB high cases were PD-L1 negative. Nevertheless, this group of patients may still benefit with ICPIs. Further studies are needed to evaluate this subset of patients. Citation Format: Ethan Sokol, Lee Albacker, Aixa Soyano, Ricardo Parrondo, Brenda Ernst, Emmanuel Gabriel, Garrett Frampton, Jeffrey Ross, Siraj Ali, Jon Chung, Saranya Chumsri. Incidence of high tumor mutation burden (TMB) and PD-L1 positivity in breast cancers and potential response to immune checkpoint inhibitors (ICPIs) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4894.

570 Background: Vascular endothelial growth factor- (VEGF-) and mammalian target of rapamycin- (mTOR-) directed therapies represent a standard of care in metastatic renal cell carcinoma (mRCC). However, these agents are not employed based on an assessment of predictive biomarkers such as genomic alterations (GA). We sought to determine if an association exists between GA detected by comprehensive genomic profiling (CGP) and the response to VEGFR and mTOR pathway targeted therapies in a cohort of mRCC treated in a clinical practice setting. Methods: The results of CGP performed in the course of clinical care on 31 consecutive mRCC obtained from patients who had received VEGFR- and/or mTOR-inhibitors were reviewed. Duration of treatment (DOT), extent and duration of clinical response was obtained from review of medical records. All classes of genomic alterations - base substitutions, short insertions, deletions, gene fusions, rearrangements and copy number - were assessed via CGP. Descriptive statistics were used to determine the frequency of GAs in groups segregated by the DOT with VEGF-directed agents. Results: The most common GAs detected in this series were in VHL (70%), PBRM1 (48%), SETD2 (32%), TSC1 (29%), MLL (19%), TERT (16%), ARID1B (16%) and KDM5C (16%). Across 61 administrations of VEGF-directed therapy in 27 patients, exceptional responses (DOT > 21 months) were more frequent amongst patients with GAs in KDM5C, PBRM1, and VHL. Conversely, these patients also featured a lower frequency of GA associated with response to mTOR-directed therapy, such as TSC1. Conclusions: Multiple GAs are more prevalent in exceptional responders to VEGF-directed therapy. Prospective validation of these findings may lead to use of CGP to optimize therapeutic selection.

Abstract Background: Previous failed trials of anti-EGFR therapy (TBCRC001) in breast cancer have not directly assessed EGFR amplification instead relying on pathway activation surrogates. Previous studies have examined EGFR amplification primarily retrospectively for research purposes without being part of a standard diagnostic evaluation. We evaluated 5,606 clincally advanced breast cases for which comprehensive genomic profiling was performed in the course of clinical care to identify EGFR altered mBC cases. Methods: DNA was extracted from 40 microns of FFPE sections from 5,605 mBC. Comprehensive genomic profiling (CGP) was performed using a hybrid-capture, adaptor ligation based next generation sequencing assay of up to 236 or 315 genes to a mean coverage depth of &gt;600X. The results were analyzed for base substitutions, short insertions and deletions, selected rearrangements, and copy number changes. Results: 155 (2.7%) of 5,605 mBC featured EGFR alterations. 126 (10.6%) featured EGFR amplification, and 27 (2.2%) featured ERBB2 subs/indels, with no cases harboring both amplification and another GA of EGFR. These patient (pts) had a median age of 55 years (range 30 to 78). For EGFR altered cases, specimens utilized for CGP included 59 (38%) from the patient's primary BC and 93 (60%) from metastatic sites including liver (14%), lymph node (14%), lung (8%), soft tissue (6%), skin (5%) and with information not available for 3 cases. 75 (48%) mBC were submitted as IDC, 69 (45%) as breast carcinoma NOS, 5 (3 %) as metaplastic BC, and 7 (5%) as other mBC. For the 126 EGFR amplified breast patients, quantitative estimation of EGFR copy number ranged from 6 to 380 copies, with a median of 12 copies. A patient with heavily pretreated case and whose TNBC harbored 32 copies of EGFR was begun on erlotinib and has experienced a 20 months ongoing complete response to erlotinib, and will be presented as will other outcomes and biomarker characterization of these cases. Conclusions: Given anecdotal evidence that mBC is responsive to anti-EGFR targeted therapies, prediction of benefit from such therapies may be linked to sensitive and specific detection of EGFR alteration in mBC cases. This study demonstrates a 2.7% EGFR alteration rate of mBC, with a striking median copy number of 12 for the subset of EGFR amplified cases. Given these findings along with anecdotal report of patient benefit, utilization of CGP in the course of clinical care or for clinical trials for mBC may help optimize treatement with targeted therapies for these patients including the direction of anti-EGFR monotherapy to EGFR altered patients. Citation Format: Ali SM, Wang K, Johnson A, Rodriguez AA, Elvin JA, Vergilio J-A, Suh JH, Chumsri S, Morosini D, Yelensky R, Lipson D, Chmielecki J, Miller VA, Ross JS, Chang J, Stephens PJ. EGFR genomic alterations in 5,605 cases of refractory and metastatic breast cancer. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-03-02.

Abstract Background: Non-amplification ERBB2 alterations (ERBB2 mut) in advanced/metastatic breast cancer (mBC) are not detected by IHC or FISH, but when detected by DNA sequencing assays can lead to clinical responses to anti-HER2 targeted therapy. We queried a database of more than 43,000 clinical cases to uncover the frequency, type and associated genomic alterations (GA) in mBC driven by ERBB2 mut and highlight clinical responses to small molecule drug and antibody-based anti-HER2 therapeutics. Methods: DNA was extracted from 40 microns of FFPE sections from 5,605 mBC. Comprehensive genomic profiling (CGP) was performed using a hybrid-capture, adaptor ligation based next generation sequencing assay of up to 315 genes to a mean coverage depth of &gt;600X. The results were analyzed for base substitutions, short insertions and deletions, selected rearrangements, and copy number changes. Results: 698 (12.5%) of 5,605 mBC featured ERBB2 alterations. 596 (10.6%) featured ERBB2 amplifications and 137 (2.4%) featured ERBB2mut. 35 (0.6%) of total mBC had both ERBB2amp and ERBB2mut, which accounted for 5.0% of all ERBB2 altered mBC. The 137 ERBB2mut mBC cases had a median age of 61 years (range 29 to 93 years) and were sequenced to a mean depth of 600X. Samples utilized for CGP included 52 (38%) from the patient's primary BC and 85 (62%) from metastatic sites including bone/soft tissue/skin (12%), liver (20%), LN (14%), serous cavities (6%), lung (4%) and miscellaneous sites (6%). 71 (52%) mBC were submitted as carcinoma NOS, 44 (32%) as IDC, 22 (16%) as ILC and 1 (1%) as mucinous mBC. Of the 137 ERBB2mut cases, 8 featured more than 1 ERBB2 mut. There were 124 (85%) ERBB2 kinase domain mutations and 15 (10%) extra-cellular domain ERBB2mut. The most common genes co-altered in ERBB2mut mBC were TP53 (49%), PIK3CA (42%), CDH1 (37%), MYC (17%), and CCND1 (16%). The enrichment of ERBB2mut in CDH1 mut mBR was significant (p=0.0006) and associated with relapsed lobular mBC. Multiple case examples of kinase domain and extra-cellular domain ERBB2mut mBC responding to a variety of anti-HER2 targeted therapies will be presented. Conclusions: In this large series of 5,605 mBC, 20% of the total ERBB2 alterations were non-amplification ERBB2mut not detectable by standard of care IHC and FISH slide-based HER2 tests. Given the demonstration of ERBB2mut driven mBC responsive to anti-HER2 targeted therapies in this study, expansion of clinical trials designed to detect these ERBB2mut cases with CGP and optimize the targeted therapies for these patients is strongly recommended. Citation Format: Ross JS, Wang K, Ali SM, Chumsri S, Elvin JA, Vergilio J-A, Suh J, Yelensky R, Lipson D, Chmielecki J, Miller VA, Stephens PJ. Non-amplification ERBB2 genomic alterations in 5,605 cases of refractory and metastatic breast cancer: An emerging opportunity for anti-HER2 targeted therapies. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-07-05.

Abstract Purpose: Women with advanced epithelial ovarian cancer are routinely treated with platinum-paclitaxel chemotherapy following cytoreductive surgery, yet only ∼20% achieve long-term disease-free survival. We hypothesized that differences in gene expression before treatment could distinguish patients with short versus long time to recurrence after administration of platinum-paclitaxel combination chemotherapy. Experimental Design: To test this hypothesis, gene expression profiling of 79 primary surgically resected tumors from women with advanced-stage, high-grade epithelial ovarian cancer was done using cDNA microarrays containing 30,721 genes. Supervised learning algorithms were applied in an effort to develop a binary classifier that could discriminate women at risk for early (≤21 months) versus late (&gt;21 months) relapse after initial chemotherapy. Results: A 14-gene predictive model was developed using a set of training samples (n = 51) and subsequently tested using an independent set of test samples (n = 28). This model correctly predicted the outcome of 24 of the 28 test samples (86% accuracy) with 95% positive predictive value for early relapse. Conclusions: Predictive markers for early recurrence can be identified for platinum-paclitaxel combination chemotherapy in primary ovarian carcinoma. The proposed 14-gene model requires further validation.