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Microglandular Adenosis is an advanced precursor breast lesion with evidence of molecular progression to matrix-producing metaplastic carcinoma
Schwartz, Christopher J; Dolgalev, Igor; Yoon, Esther; Osman, Iman; Heguy, Adriana; de Miera, Eleazar Vega-Saenz; Nimeh, Diana; Jour, George; Darvishian, Farbod
Microglandular adenosis (MGA) is a rare breast lesion reported to be associated with invasive carcinoma in up to 20-30% of cases, and has been proposed as a non-obligate precursor to basal-like breast cancers. We identified a case of matrix-producing metaplastic carcinoma with morphologic and immunohistochemical evidence of progression from MGA to atypical MGA (AMGA), carcinoma in situ (CIS) and invasive carcinoma. We performed whole exome sequencing of each component (MGA, AMGA, CIS and cancer) to characterize the mutational landscape of these foci. There was significant copy number overlap between all foci, including a segmental amplification of the CCND1 locus (partial chromosome 11 trisomy) and MYC (8q24.12-13). Using a bioinformatics approach, we were able to identify three putative mutational clusters and recurrent, stop-gain non-synonymous mutations in both ZNF862 and TP53 that were shared across all foci. Finally, we identified a novel deleterious splice-acceptor site mutation of chr5:5186164G>T (chromosome 5p15) encoding the gene, ADAMTS16, in the invasive component.
PMID: 30428388
ISSN: 1532-8392
CID: 3457342
Development of Novel Mutation-Specific Droplet Digital PCR Assays Detecting TERT Promoter Mutations in Tumor and Plasma Samples
Corless, Broderick C; Chang, Gregory A; Cooper, Samantha; Syeda, Mahrukh M; Shao, Yongzhao; Osman, Iman; Karlin-Neumann, George; Polsky, David
Detecting mutations in the plasma of patients with solid tumors is becoming a valuable method of diagnosing and monitoring cancer. The TERT promoter is mutated at high frequencies in multiple cancer types, most commonly at positions -124 and -146 (designated C228T and C250T, respectively). Detection of these mutations has been challenging because of the high GC content of this region (approximately 80%). We describe development of novel probe-based droplet digital PCR assays that specifically detect and quantify these two mutations, along with the less common 242-243 CC>TT mutation, and demonstrate their application using human tumor and plasma samples from melanoma patients. Assay designs and running conditions were optimized using cancer cell line genomic DNAs with the C228T or C250T mutations. The limits of detection were 0.062% and 0.051% mutant allele fraction for the C228T and C250T assays, respectively. Concordance of 100% was observed between droplet digital PCR and sequencing-based orthogonal methods in the detection of TERT mutant DNA in 32 formalin-fixed, paraffin-embedded melanoma tumors. TERTmutant DNA was also identified in 21 of 27 plasma samples (78%) from patients with TERTmutant tumors, with plasma mutant allele fractions ranging from 0.06% to 15.3%. There were no false positives in plasma. These data demonstrate the potential of these assays to specifically detect and quantify TERTmutant DNA in tumors and plasma of cancer patients.
PMID: 30827467
ISSN: 1943-7811
CID: 3722502
Primary Melanoma Histologic Subtype: Impact on Survival and Response to Therapy
Lattanzi, Michael; Lee, Yesung; Simpson, Danny; Moran, Una; Darvishian, Farbod; Kim, Randie H; Hernando, Eva; Polsky, David; Hanniford, Doug; Shapiro, Richard; Berman, Russell; Pavlick, Anna C; Wilson, Melissa A; Kirchhoff, Tomas; Weber, Jeffrey S; Zhong, Judy; Osman, Iman
Background/UNASSIGNED:Two primary histologic subtypes, superficial spreading melanoma (SSM) and nodular melanoma (NM), comprise the majority of all cutaneous melanomas. NM is associated with worse outcomes, which have been attributed to increased thickness at presentation, and it is widely expected that NM and SSM would exhibit similar behavior once metastasized. Herein, we tested the hypothesis that primary histologic subtype is an independent predictor of survival and may impact response to treatment in the metastatic setting. Methods/UNASSIGNED:We examined the most recent Surveillance, Epidemiology, and End Results (SEER) cohort (n = 118 508) and the New York University (NYU) cohort (n = 1621) with available protocol-driven follow-up. Outcomes specified by primary histology were studied in both the primary and metastatic settings with respect to BRAF-targeted therapy and immunotherapy. We characterized known driver mutations and examined a 140-gene panel in a subset of NM and SSM cases using next-generation sequencing. All statistical tests were two-sided. Results/UNASSIGNED:NM was an independent risk factor for death in both the SEER (hazard ratio [HR] = 1.55, 95% confidence interval [CI] = 1.41 to 1.70, P < .001) and NYU (HR = 1.47, 95% CI = 1.05, 2.07, P = .03) cohorts, controlling for thickness, ulceration, stage, and other variables. In the metastatic setting, NM remained an independent risk factor for death upon treatment with BRAF-targeted therapy (HR = 3.33, 95% CI = 1.06 to 10.47, P = .04) but showed no statistically significant difference with immune checkpoint inhibition. NM was associated with a higher rate of NRAS mutation (P < .001), and high-throughput sequencing revealed NM-specific genomic alterations in NOTCH4, ANK3, and ZNF560, which were independently validated. Conclusions/UNASSIGNED:Our data reveal distinct clinical and biological differences between NM and SSM that support revisiting the prognostic and predictive impact of primary histology subtype in the management of cutaneous melanoma.
PMID: 29912415
ISSN: 1460-2105
CID: 3158042
Mechanisms of primary resistance to PD-1 checkpoint blockade [Meeting Abstract]
Krogsgaard, M; Moogk, D; Li, K; Yuan, Z; Osman, I; Weber, J S; Zhu, C
Although much clinical progress has been made in harnessing the immune system to recognize and target cancer, there is still a significant lack of an understanding of how tumors evade immune recognition and the mechanisms that drive tumor resistance to both T-cell and checkpoint blockade immunotherapy. Our objective is to understand how tumor-mediated signaling through inhibitory receptors, including PD-1, combines to affect the process of T-cell recognition of tumor antigen and activation signaling. This has the goal of understanding the basis of resistance to PD-1 blockade and potentially identifying new molecular targets to enable T-cells to overcome dysfunction mediated by multiple inhibitory receptors. Biomembrane Force Probe (BFP) measurements show that that the activities of TCR-proximal signaling components affect T-cell mechanosensing and sensitivity at the earliest stages of antigen recognition and are influenced by PD-1 and other inhibitory receptors via Shp-1/2 by targeting CD28 and Lck to directly suppress TCR-pMHC-CD8 binding. Phospho-proteomics and flow cytometry-based analysis of patient-derived T-cells from PD-1 responders and nonresponders identified additional mediators, signaling components and pathways associated with PD-1 checkpoint blockade resistance. Targeting these interactions and understanding the basis of resistance to PD-1 blockade would potentially allow identification of novel biomarkers of resistance or new molecular targets to enable T-cells to overcome dysfunction during PD-1 checkpoint blockade
EMBASE:626516759
ISSN: 2326-6074
CID: 3729902
Revisiting the clinical and biologic relevance of partial PTEN loss in melanoma
Giles, Keith M; Rosenbaum, Brooke E; Berger, Marlies; Izsak, Allison; Li, Yang; Illa Bochaca, Irineu; Vega-Saenz de Miera, Eleazar; Wang, Jinhua; Darvishian, Farbod; Zhong, Hua; Osman, Iman
The extent of PTEN loss that confers clinical and biological impact in melanoma is unclear. We evaluated the clinical and biologic relevance of PTEN dosage in melanoma, and tested the postulate that partial PTEN loss is due to epigenetic mechanisms. PTEN expression was assessed by immunohistochemistry in a stage III melanoma cohort (n=190) with prospective follow up. 21/190 (11%) of tumors had strong PTEN expression, 51/190 (27%) had intermediate PTEN, 44/190 (23%) had weak PTEN, and 74/190 (39%) had absent PTEN. Both weak and absent PTEN expression predicted shorter survival in multivariate analyses (HR 2.13, p<0.01). We demonstrate a continuous negative correlation between PTEN and activated Akt in melanoma cells with titrated PTEN expression and in two additional independent tumor datasets. PTEN genomic alterations (deletion, mutation), promoter methylation, and protein destabilization did not fully explain PTEN loss in melanoma, whereas PTEN levels increased with treatment of melanoma cells with the histone deacetylase inhibitor LBH589. Our data indicate that partial PTEN loss is due to modifiable epigenetic mechanisms and drives Akt activation and worse prognosis, suggesting a potential approach to improve the clinical outcome for a subset of advanced melanoma patients.
PMID: 30148988
ISSN: 1523-1747
CID: 3255762
A KDR germline variant is associated with increased risk of melanoma, a pro-angiogenic phenotype and resistance to immunotherapy [Meeting Abstract]
Illa-Bochaca, Irineu; Giles, Keith; Darvishian, Farbod; Moran, Una; Zhong, Judy; Krogsgaard, Michelle; Kirchhoff, Tomas; Osman, Iman
ISI:000455805400024
ISSN: 1479-5876
CID: 3613492
Mechanisms of primary resistance to immune checkpoint inhibitors in Melanoma [Meeting Abstract]
Moogk, Duane; Wang, Lin; Li, Kaitao; Yuan, Zhou; Zhong, Shi; Yu, Zhiya; Liadi, Ivan; Rittase, William; Fang, Victoria; Dougherty, Janna; Perez-Garcia, Arianne; Varadarajan, Navin; Restifo, Nicholas P.; Frey, Alan; Osman, Iman; Weber, Jeff; Zhu, Cheng; Krogsgaard, Michelle
ISI:000455805400022
ISSN: 1479-5876
CID: 3613502
Predicting BRAF and NRAS Mutations Using Deep Learning on Histopathology Images of Melanoma [Meeting Abstract]
Kim, Randie; Nomikou, Sofia; Dawood, Zarmeena; Coudray, Nicolas; Jour, George; Moran, Una; Razavian, Narges; Osman, Iman; Tsirigos, Aristotelis
ISI:000478915500468
ISSN: 0893-3952
CID: 4048102
Melanoma patients harbor pre-existing IgG autoantibodies targeting neuronal proteins that associate with differential clinical outcomes following checkpoint blockade [Meeting Abstract]
Hulett, T; Giles, K; Gowen, M; Simpson, D; Tchack, J; Moran, U; Dawood, Z; Pavlick, A; Hu, S; Zhong, H; Krogsgaard, M; Kirchhoff, T; Osman, I
Background Autoantibody landscapes are very specific to the individual, can remain stable for many years, and contain unique features reported in association with cancer, autoimmunity, infection, neurologic conditions, CD8+ T cell behavior, and checkpoint blockade adverse events [1-11]. The goal of this work was to determine whether pre-existing antigenspecific features in melanoma patient autoantibody landscapes would associate with clinical outcomes following checkpoint blockade. Methods Pre-treatment serum samples were collected from 117 melanoma patients prior to checkpoint blockade with anti-CTLA4 (N=60), anti-PD1 (N=38), or both in combination (N=16). All data was collected with approval of the NYU Institutional Review Board at the NYU Perlmutter Cancer Center with informed consent [11]. Serum samples were run on HuProt Human Proteome Microarrays containing >19,000 human proteins by CDI Laboratories. Raw serum IgG signal intensities were processed across staining cohorts via interquartile range normalization. Pre-existing antibody responses were defined as patient-specific IgG signals >3.5 median absolute deviations above cohort median IgG background (modified Z-score). Group statistics were computed (GraphPad Prism), and gene ontology enrichment analysis was performed (Enrichr) [12]. Results Several pre-existing antigen-specific IgG autoantibody targets were observed to have associations with good outcomes (SD/PR) or objective clinical responses (PR/CR) versus patients with progressive disease (POD). While final determination of the most predictive subsets is ongoing, many targets represent genes in an axis surrounding immune signaling pathways, hereditary neurodegenerative disease, and the ubiquitin proteasome pathway (ie, UBQLN1, UBQLN2). An exemplary example was observed in the autoantibody responses shared by >10% of all patients regardless of clinical outcome. Gene ontology enrichment analysis of these shared melanoma-patient autoantibodies versus KEGG 2019 [12] demonstrates this set of proteins is strongly enriched for neurotrophin signaling-associated proteins after multi-sample correction (P=0.004) (Table 1). Several other associations were observed cohort-wide for ontologies with tissuespecific enrichment in the brain, neurons, and neuronal processes. Conclusions In this pilot study, we found strong associations across the cohort for autoantibodies against nerve-growth-inducing neurotrophins and genes like UBQLN1 and UBQLN2 which have strong associations with amyotrophic lateral sclerosis, frontotemporal dementia, Parkinson's, and Alzheimer's - neurodegenerative diseases that are known to have incidences which correlate with melanoma [14-16]; this hints at a potential immunologic connection between the conditions, perhaps related to an antitumor / autoimmune axis involving the targets reported here. (Table Presented)
EMBASE:629890572
ISSN: 2051-1426
CID: 4227402
Predicting BRAF and NRAS Mutations Using Deep Learning on Histopathology Images of Melanoma [Meeting Abstract]
Kim, Randie; Nomikou, Sofia; Dawood, Zarmeena; Coudray, Nicolas; Jour, George; Moran, Una; Razavian, Narges; Osman, Iman; Tsirigos, Aristotelis
ISI:000478081100486
ISSN: 0023-6837
CID: 4048332