Abstract Adenosquamous cancer of the pancreas (ASCP) is a subtype of pancreatic cancer that has a worse prognosis and greater metastatic potential than the more common pancreatic ductal adenocarcinoma (PDAC) subtype. To distinguish the genomic landscape of ASCP and identify actionable targets for this lethal cancer, we applied DNA content flow cytometry to a series of 15 tumor samples including five patient-derived xenografts (PDX). We interrogated purified sorted tumor fractions from these samples with whole-genome copy-number variant (CNV), whole-exome sequencing, and Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) analyses. These identified a variety of somatic genomic lesions targeting chromatin regulators in ASCP genomes that were superimposed on well-characterized genomic lesions including mutations in TP53 (87%) and KRAS (73%), amplification of MYC (47%), and homozygous deletion of CDKN2A (40%) that are common in PDACs. Furthermore, a comparison of ATAC-seq profiles of three ASCP and three PDAC genomes using flow-sorted PDX models identified genes with accessible chromatin unique to the ASCP genomes, including the lysine methyltransferase SMYD2 and the pancreatic cancer stem cell regulator RORC in all three ASCPs, and a FGFR1-ERLIN2 fusion associated with focal CNVs in both genes in a single ASCP. Finally, we demonstrate significant activity of a pan FGFR inhibitor against organoids derived from the FGFR1-ERLIN2 fusion–positive ASCP PDX model. Our results suggest that the genomic and epigenomic landscape of ASCP provide new strategies for targeting this aggressive subtype of pancreatic cancer. Significance: These data provide a unique description of the ASCP genomic and epigenomic landscape and identify candidate therapeutic targets for this dismal cancer.
Abstract 1790: PDJ amplicon heterogeneity in triple negative breast cancers
Abstract Background: Amplification of chromosome 9p24.1 targeting PD-L1, PD-L2, and JAK2 (PDJ amplicon) is present in ~15% of TNBCs and is associated with activation of the JAK/STAT pathway and poor clinical outcomes. In preclinical studies, PD-L1 expression is markedly and rapidly inducible by low-dose IFN-γ in a PDJ amplicon copy-number dependent manner, mimicking an in situ inflammatory response. This suggests PDJ amplification could identify those TNBCs that would respond to ICIs and/or JAK2 targeted-therapies. The goals in this study were to determine the PDJ status of a well annotated cohort of TNBC PDXs with a 3 color FISH assay and to further define the genomes and transcriptomes of PDJ+ and PDJ- TNBCs. Methods: Tissue microarrays (TMAs) of 49 cores from 27 breast cancer PDX samples, including 21 TNBCs were obtained from the Baylor College of Medicine. The TMAs were interrogated with a 3 color FISH assay consisting of three probes that simultaneously target the PDJ amplicon, 9q22, and 9q34.1. The ratios of PDJ to 9q22 and PDJ to 9q34.1 were calculated to distinguish PDJ amplification from polyploidy. In each case, 50 cells were scored. Samples with PDJ signal >4.0, PDJ/9q22 ≥2 and/or PDJ/9q34.1 ≥2 were called positive by FISH. A subset of PDJ+ PDXs was then flow sorted by DNA content and interrogated with 400k whole genome CNV arrays. These results were integrated with existing clinical, exome, and transcriptome data for the TMAs (pdxportal.research.bcm.edu). Results: PDJ amplification was identified in 6/27 PDX samples including 3/21 (14%) TNBCs. Notably the number of PDJ+ cells in each sample ranged from 2-18. Single cells with ≥10 copies were observed in each PDJ+ sample as well as two PDJ- TNBCs. PDJ+ samples had increased expression of PD-L1 and JAK2 in their RNAseq data. Whole genome CNV analysis of flow sorted PDJ+ samples confirmed the presence of the PDJ amplicon and identified co-occurring amplifications and deletions. A similar pattern of PDJ amplicon heterogeneity was seen in a Mayo Clinic Arizona cohort of 70 surgically resected TNBCs. Previous whole genome CNV analysis of flow sorted samples identified 13/70 (18%) PDJ+ cases. FISH analysis of 14 TNBCs from this cohort (PDJ+ and PDJ- cases) validated these results and identified PDJ+ tumors with cells containing >20 copies of the amplicon. Conclusion: Our multicolor FISH assay of PDX and primary resected samples confirms a prevalence of ~15% PDJ+ TNBCs. Previous studies have reported an enrichment of JAK2 amplification in neoadjuvant treated TNBCs. Given the heterogeneous FISH patterns in both PDJ+ and PDJ- samples in our cohorts, we hypothesize that neoadjuvant therapy could enrich the presence of PDJ+ cells and thereby sensitize TNBCs to ICIs and JAK2 targeted therapies. Future work will explore the role of PDJ amplification and the presence of PDJ+ cells in TNBCs in response to neoadjuvant therapy. Citation Format: Alexander S. Roesler, Smriti Malasi, Elizabeth Lenkiewicz, Barbara A. Pockaj, Michael T. Lewis, Lacey E. Dobrolecki, Lori Koslosky, Peter Hartmayer, Karen S. Anderson, Michael T. Barrett. PDJ amplicon heterogeneity in triple negative breast cancers [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 1790.
Decreased copy number aberrations in genomes of HER2+ metastatic breast cancer (MBC) patients (pts) with extraordinary durable complete responses (dCR) to trastuzumab (T).
Abstract Introduction: Striking clinical responses to immunotherapies in subsets of patients with a variety of solid tumors have prompted the search for predictive biomarkers. Recent studies have proposed that gene specific and genome wide mutation and copy number signatures in tumor cells may be predictive of responses to immune checkpoint blockade. Notably high levels of PD-L1 on tumor cells, a context associated with an adaptive immune response, has been linked to specific oncogenic driver lesions including loss of PTEN, activating KRAS mutation, and MYC amplification, and to the total burden of copy number variants (CNVs) in aneuploid tumors. Triple negative breast cancers (TNBCs) typically have multiple driver mutations and high levels of CNVs in their genomes. Thus there is significant interest in exploiting genomic data for the development of prognostic immunotherapy biomarkers for patients with TNBC. Study Design: We interrogated 62 well annotated surgical resections from patients with TNBC and assessed the associations of genomic lesions with expression of PD-1 and PDL-1 in tumor and non-tumor cells in each sample. We applied a systematic approach to rigorously interrogate the genomes of each TNBC sample. Tumor ploidy was initially measured with DNA content flow cytometry followed by sorting the nuclei of distinct diploid, tetraploid, and aneuploid cell populations from each TNBC. The next level of analysis measured genome wide copy number variants (CNV) with oligonucleotide arrays designed for CNV detection using purified (>95%) tumor populations. This enabled the discrimination and mapping of CNVs including single copy losses and gains, focal amplifications, and homozygous deletions across each TNBC genome. Finally we generated whole exome data in a subset of samples to increase the resolution within loci of interest and to incorporate mutations of individual genes into our genomic signatures. This combined approach provides high resolution measures of TNBC genomes from ploidy, whole chromosome and chromosome arm level CNVs, focal amplicons, breakpoints and homozygous deletions, to the level of gene specific indels and mutations. In parallel whole tissue samples were screened by IHC for PD-1 and PD-L1 using validated antibodies and established scoring methods for staining of tumor and non-tumor cells. Results and Conclusions: High levels of PD-1 and PD-L1 were detected in 5/60 (8.3%) and 16/60 (26.7%) evaluable cases with staining of PD-1 exclusively on non tumor cells, while PD-L1 was primarily on tumor cells; 15/16 (93.8%) cases. These data were then used to test the associations of individual recurring genomic lesions, and the extent and nature of chromosome aberrations on the expression patterns of PD-1 and PD-L1. Homozygous deletion of PTEN or activating mutation in PIK3CA did not correlate with increased expression of either immune checkpoint regulator in TNBC cells. Furthermore tumors with highly aberrant aneuploid genomes and distinct oncogenic drivers frequently express relatively low levels of both proteins suggesting an intrinsic escape from immunosurveillance. Citation Format: Barrett MT, Lenkiewicz E, Malasi S, Yearley JH, Annamalai L, McCullough AE, Anderson KS, Pockaj BA. Genomic lesions and PD-1/PD-L1 expression in resected triple negative breast cancers [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-07-05.
A phase 2 study of vorinostat in locally advanced, recurrent, or metastatic adenoid cystic carcinoma
Abstract Introduction: Clonal heterogeneity in cancer is associated with resistance to therapies and evolution of metastatic disease. Clinical management of breast cancer relies on the status of estrogen (ER), progesterone (PR), and Her2 receptors in diagnostic biopsies. Results for these biomarkers rely on IHC and FISH assays that incorporate staining intensity and percentage of positive cell numbers for each sample of interest. Heterogeneous results for one or more of these biomarkers suggest the presence of multiple tumor populations within a biopsy. However the impact of clonal heterogeneity on clinical biomarkers has not been rigorously evaluated. Methods: We interrogated the clonal composition of 3 treatment-naïve surgically excised invasive ductal carcinomas. Patient #1 cancer, (pT2, pN0) was grade 3, ER+, PR+, and Her2-- with a germ line BRCA2Q49X mutation. Patient #2 cancer (pT2, pN0) was grade 3, ER+ PR- Her2+. Patient #3 was a locally advanced cancer with both axillary and supraclavicular lymph node (LN) involvement (pT2, pN3c, and was grade 3, ER+PR-Her2+ by core but found to be ER+PR-Her2- on the resection specimen. We applied DNA content flow cytometry to multiple (8-18) mapped biopsies in each case. Each sorted tumor population was interrogated with whole exome sequencing, and whole genome array comparative genomic hybridization (aCGH). Single cell analysis of aneuploid populations present in the primary tumor and lymph nodes in patient 3 was done to further assess clonal heterogeneity. Results: Tumor from patient #1 had a single ploidy with stable copy number profiles including an interstitial 13q deletion that converted a germ line BRCA2Q49X mutation to homozygosity, and a clonal homozygous deletion in Numb in each of 4 tumor biopsies. Tumor from patient #2 had a dominant ploidy (3.2N) in each of 10 (A1-A10) primary tumor biopsies but with a second co-existing ploidy (3.6N) in one (A2) biopsy. A homozygous somatic BRCA2r3129x mutation was identified in all 10 biopsies and in both ploidies; however the genomes had heterogeneous aCGH profiles. In contrast, 12 primary biopsies from Patient #3 contained 6 distinct ploidies with highly aberrant but homogenous genomes, characterized by SARC amplification, homozygous deletion of ROBO1 and ROBO2, and clonal mutations in TP53, NF1, and PIK3CA. One of the ploidies, (5.8N) was present in an adjacent node and another (5.0N) in both the adjacent and distant nodes. Single cell analyses of the 5.0N and 5.8N populations revealed that allele frequencies of driver mutations were stable in the tumor and become homozygous in the LNs. There were no Her2 amplicons or mutations in biopsies analyzed in Patients #2 and #3 further contradicting the heterogeneous staining for ER, PR and Her2. Conclusion: Tumor heterogeneity includes variations in ploidies, copy number aberrations, and allele frequencies. However even highly aberrant aneuploid genomes can be stable within multiple primary and lymph node sites. Rigorous interrogation of flow sorted tumor populations, in contrast to inferring heterogeneity in bulk samples, identifies driver aberrations in single biopsies, challenges heterogeneous results with clinical biomarkers, and distinguishes allelic heterozygosity from tumor heterogeneity in highly aberrant aneuploid tumor genomes. Citation Format: Barrett MT, Lenkiewicz E, Malasi S, Webster T, Wison Sayres MA, McCullough AE, Anderson KS, Pockaj BA. Clonal heterogeneity in breast cancer and its impact on clinical biomarkers [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-05-12.
Abstract P6-03-13: The genomic landscape of PD-L1, PD-L2, Jak2 (PDJ) amplified triple negative breast carcinoma
Abstract Introduction: Triple negative breast carcinoma (TNBC) is a subtype of breast cancer with a paucity of therapeutic targets and a poor prognostic phenotype. In a retrospective cohort, we sought to determine the prevalence of the amplicon targeting the 9p24.1 locus, resulting in over-expression of PD-L1, PD-L2, and JAK2 (PDJ), and potentially actionable therapeutic targets. We then probed the genomic landscape of these PDJ positive tumors and identified co-occurring copy number aberrations, including focal amplifications and homozygous deletions. The presence of the PDJ amplicon and selected co-occurring aberrations provide a unique description of a clinically relevant subtype of TNBC. Methods: We evaluated fresh frozen and formalin-fixed paraffin embedded tumor samples from 64 patients with triple negative breast cancer whom underwent definitive surgical resection. Clinical annotation was available in 60 of the samples. Tumor populations (diploid, tetraploid, and aneuploidy) were sorted from each biopsy using DNA content flow cytometry. Each sorted sample was interrogated with oligonucleotide array comparative genomic hybridization (aCGH). All microarray slides were scanned using an Agilent 2565C DNA scanner and the images were analyzed with Agilent Feature Extraction version 10.7. The aCGH data was assessed with a series of QC metrics then analyzed using an aberration detection algorithm. Results: We detected a high level (log2ratio greater than or equal to 2) amplicon targeting 9p24.1 in 18 of 64 patients (28%) genomic profiles with triple negative breast carcinoma. In the PDJ positive population, we detected 8 of 18 patients (44%) with co-amplification targeting myc at 8q24, 3 of 18 patients (17%) with co-amplifications targeting EGFR at 7p11, 3 of 18 patients (17%) with co-amplifications targeting PIK3CA. These co-occurring genomic events in PDJ positive tumors may provide clinically actionable targets. Other selected amplifications detected included NOTCH3, KRAS, RUNX1, TUBAL3, FGFR2, AKT1, AKT2, YPEL2, PBXL7, KIT. We detected PTEN homozygous deletion in 2 of 18 patients (11%) PDJ positive tumors. Other homozygous deletions identified in the genomic landscape included FAT1, SOX3, Park2, TNFAIP3, GPC3, RB1, and CREBBP. Conclusions: In our retrospective analysis, the amplification of chromosome 9p24.1 involving PD-L1, PD-L2, and JAK2 is present in approximately 28% of triple negative breast cancer patients. The genomic landscape of these PDJ positive TNBCs include recurring high-level focal amplifications and targeted homozygous deletions of clinically relevant genes. The clinical implications of these data are under current investigation using model systems and are in early phase clinical trials. The efficacy of immune checkpoint inhibitors including nivolumab, pembrolizumab, and JAK2 inhibitors including ruxolitinib, in PDJ positive triple negative breast carcinoma is intriguing and remains to be elucidated. Citation Format: Gawryletz CD, Anderson KS, Cunliffe HE, Northfelt DW, McCullough AE, Lenkiewicz E, Malasi S, Pockaj BA, Barrett MT. The genomic landscape of PD-L1, PD-L2, Jak2 (PDJ) amplified triple negative breast carcinoma. [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 P6-03-13.
Genomic amplification of 9p24.1 targeting JAK2, PD-L1, and PD-L2 is enriched in high-risk triple negative breast cancer
Abstract Background: Breast tumors exhibit intratumor heterogeneity resulting in targeted therapy resistance and other challenges in disease management. To address the sources of heterogeneity, we performed a unique, in-depth analysis of clonal architecture in primary chemoradiation-naïve breast cancers. We combined DNA content-based flow cytometry and ploidy analysis with aCGH and whole exome next-generation sequencing (NGS) in multiple biopsies from the tumors and involved lymph nodes (LNs). Material and methods: We sorted nuclei from distinct populations of diploid, tetraploid, and aneuploid cells in surgical tumor samples from three chemoradiation-naïve patients. Each sorted tumor cell population was interrogated with aCGH and whole exome NGS. In Patient #1, we sorted and interrogated the genomes of tumor populations from 12 fresh frozen sections morphologically mapped from within a HER2+, ER+, PR- primary invasive ductal carcinoma (IDC) of histological grade 3 with LN involvement and 2-3 sections from 2 out of 5 LNs. In Patient #2, 11 morphologically mapped fresh frozen sections were analyzed from a grade 2, ER+, PR+, HER2+, BRCA2 mutant LN- IDC. In parallel, matching samples were processed for IHC assays. In Patient #3 biopsies from a grade 2 ER+, PR+ primary tumor were profiled. Results: The 18 primary and LN biopsies from Patient #1 fell into 6 distinct ploidy groups albeit with aberrant but homogenous aCGH profiles, characterized by SARC amplification and homozygous deletions in ROBO1 and ROBO2. In contrast a dominant ploidy was identified throughout 10 biopsies in Patient #2 but with heterogeneous aCGH profiles. Patient #3 had a clonal homozygous deletion in Numb in each of 4 tumor biopsies. Mutation profiles obtained through exome sequencing further confirmed that ploidy was the main driver in Patient #1 whereas copy number aberrations played the key role in Patient #2 with the BRCA2 mutation (R3129X). A dendrogram based on exome variant calls of the aneuploid populations in Patient #1 strongly correlated with ploidy group and further revealed the specific clonal population characterized by a 5N ploidy and homozygous mutations in TP53 and PIK3CA as the progenitor to the ploidies present in the distant LNs. Strikingly, patients #1 and #2 were HER2 wild type across their clonal populations, contradicting IHC staining in a single core biopsy. Conclusions:Rather than inferring the presence of distinct tumor cell populations, our flow-sorting based approach of first identifying clonal populations and then interrogating their genomes, provides an objective method of exploring the sources and clinical significance of tumor heterogeneity. Our approach of clonal analysis has broad implications in the study of tumor heterogeneity and the identification of drivers in breast and other solid tumors that can advance more effective treatment and clinical management of patients with this disease. Citation Format: MARIACARLA ANDREOZZI, Princy Francis, Elizabeth Lenkiewicz, Mia Champion, Brady Laughlin, Karen Anderson, Heather Cunliffe, Ann E. McCullough, Michael T. Barrett, Barbara Pockaj. Deep clonal profiling identifies distinct mechanisms of heterogeneity and evolution in breast cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr LB-175. doi:10.1158/1538-7445.AM2015-LB-175
Abstract P2-03-07: Deep clonal profiling identifies distinct mechanisms of heterogeneity and evolution in breast cancer
Abstract Background: Breast tumors exhibit intratumor heterogeneity resulting in targeted therapy resistance and other challenges in disease management. To address the sources of heterogeneity, we performed a unique, in-depth analysis of clonal architecture in primary chemoradiation-naïve breast cancers. We combined DNA content-based flow cytometry and ploidy analysis with aCGH and next-generation sequencing (NGS) in multiple biopsies from the tumors and involved lymph nodes (LNs). Material and methods: We used DNA content-based flow sorting to isolate nuclei from distinct populations of diploid and aneuploid tumor cells in surgical tumor samples from two chemoradiation-naïve patients. Each sorted tumor cell population was interrogated with aCGH and exome NGS. In Patient #1, we used 12 fresh frozen sections morphologically mapped from within a HER2+, ER+, PR- primary invasive ductal carcinoma (IDC) of histological grade 3 with LN involvement and 2-3 sections from 2 out of 5 LNs. In Patient #2, 11 morphologically mapped fresh frozen sections were analyzed from a grade 2, ER+, PR+, HER2+, BRCA2 mutant LN- IDC. In parallel, matching samples were processed for IHC assays. Results: We identified multiple co-existing aneuploid populations within the biopsies. The 17 primary and LN biopsies from Patient #1 fell into 6 distinct ploidy groups albeit with aberrant but homogenous aCGH profiles, characterized by SARC amplification and homozygous deletions in ROBO1 and ROBO2. In contrast a dominant ploidy was identified throughout Patient #2 but with heterogeneous aCGH profiles. Mutation profiles obtained through exome sequencing further confirmed that ploidy was the main driver in Patient #1 whereas copy number aberrations played the key role in Patient #2 with the BRCA2 mutation (R3129X). A dendrogram based on exome variant calls of the aneuploid populations in Patient #1 strongly correlated with ploidy group and further revealed the specific clonal population characterized by a 5N ploidy and homozygous mutations in TP53 and PIK3CA as the progenitor to the ploidies present in the distant LNs. Strikngly, both patients had no HER2 amplification or mutation across their clonal populations, contradicting the initial IHC staining in a single core biopsy. Conclusions Rather than inferring the presence of distinct tumor cell populations, our novel flow-sorting based approach of first identifying the clonal populations and then interrogating their genomes, provides an objective method of exploring the sources and clinical significance of tumor heterogeneity. Our approach of clonal analysis has broad implications in the study of tumor heterogeneity and the identification of drivers in breast and other solid tumors that can advance more effective treatment and clinical management of patients with this disease. Citation Format: Princy Francis, Lucretia M Alvarez, Elizabeth Lenkiewicz, Mia Champion, Lisa Evers, Karen L Anderson, Ann E McCullough, Michael T Barrett, Barbara Pockaj. Deep clonal profiling identifies distinct mechanisms of heterogeneity and evolution in breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P2-03-07.