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Showing papers by "Joshua Armenia published in 2016"


Journal ArticleDOI
TL;DR: This study illuminates the landscape of genetic alterations and gene expression programs in SDC, identifying numerous molecular targets and potential determinants of response to AR antagonism and indicates that clinical data in breast cancer may generate useful hypotheses for SDC.
Abstract: Purpose Salivary duct carcinoma (SDC) is an aggressive salivary malignancy which is resistant to chemotherapy and has high mortality rates. We investigated the molecular landscape of SDC, focusing on genetic alterations and gene expression profiles. Experimental Design We performed whole-exome sequencing, RNA sequencing and immunohistochemical analyses in 16 SDC tumors, and examined selected alterations via targeted sequencing of 410 genes in a second cohort of 15 SDCs. Results SDCs harbored a higher mutational burden than many other salivary carcinomas (1.7 mutations/megabase). The most frequent genetic alterations were mutations in TP53 (55%), HRAS (23%), PIK3CA (23%), and amplification of ERBB2 (35%). Most (74%) tumors had alterations in either MAP kinase (BRAF/HRAS/NF1) genes or ERBB2. Potentially targetable alterations based on supportive clinical evidence were present in 61% of tumors. Androgen receptor (AR) was overexpressed in 75%; several potential resistance mechanisms to androgen deprivation therapy (ADT) were identified, including the AR-V7 splice variant (present in 50%, often at low ratios compared to full length AR) and FOXA1 mutations (10%). Consensus clustering and pathway analyses in transcriptome data revealed striking similarities between SDC and molecular apocrine breast cancer. Conclusions This study illuminates the landscape of genetic alterations and gene expression programs in SDC, identifying numerous molecular targets and potential determinants of response to AR antagonism. This has relevance for emerging clinical studies of ADT and other targeted therapies in SDC. The similarities between SDC and apocrine breast cancer indicate that clinical data in breast cancer may generate useful hypotheses for SDC.

144 citations


Journal ArticleDOI
15 Sep 2016-Oncogene
TL;DR: The results demonstrate that IORT elicits effects that go beyond the direct killing of residual tumor cells, and prompts to the use of anti-EGFR treatments, in a peri-operative treatment schedule, aimed to timely treat BC patients and restrain recurrence formation.
Abstract: In breast cancer (BC) patients, local recurrences often arise in proximity of the surgical scar, suggesting that response to surgery may have a causative role. Radiotherapy (RT) after lumpectomy significantly reduces the risk of recurrence. We investigated the direct effects of surgery and of RT delivered intraoperatively (IORT), by collecting irradiated and non-irradiated breast tissues from BC patients, after tumor removal. These breast tissue specimens have been profiled for their microRNA (miR) expression, in search of differentially expressed miR among patients treated or not with IORT. Our results demonstrate that IORT elicits effects that go beyond the direct killing of residual tumor cells. IORT altered the wound response, inducing the expression of miR-223 in the peri-tumoral breast tissue. miR-223 downregulated the local expression of epidermal growth factor (EGF), leading to decreased activation of EGF receptor (EGFR) on target cells and, eventually, dampening a positive EGF–EGFR autocrine/paracrine stimulation loop induced by the post-surgical wound-healing response. Accordingly, both RT-induced miR-223 and peri-operative inhibition of EGFR efficiently prevented BC cell growth and reduced recurrence formation in mouse models of BC. Our study uncovers unknown effects of RT delivered on a wounded tissue and prompts to the use of anti-EGFR treatments, in a peri-operative treatment schedule, aimed to timely treat BC patients and restrain recurrence formation.

50 citations


Journal ArticleDOI
TL;DR: This study demonstrates an approach to generate cellular heterogeneity metrics in routinely collected solid tumor specimens and integrate them with in vivo cancer phenotypes using a multiplexed immunofluorescence staining platform.
Abstract: The phenotypic diversity of cancer results from genetic and nongenetic factors. Most studies of cancer heterogeneity have focused on DNA alterations, as technologies for proteomic measurements in clinical specimen are currently less advanced. Here, we used a multiplexed immunofluorescence staining platform to measure the expression of 27 proteins at the single-cell level in formalin-fixed and paraffin-embedded samples from treatment-naive stage II/III human breast cancer. Unsupervised clustering of protein expression data from 638,577 tumor cells in 26 breast cancers identified 8 clusters of protein coexpression. In about one-third of breast cancers, over 95% of all neoplastic cells expressed a single protein coexpression cluster. The remaining tumors harbored tumor cells representing multiple protein coexpression clusters, either in a regional distribution or intermingled throughout the tumor. Tumor uptake of the radiotracer 18F-fluorodeoxyglucose was associated with protein expression clusters characterized by hormone receptor loss, PTEN alteration, and HER2 gene amplification. Our study demonstrates an approach to generate cellular heterogeneity metrics in routinely collected solid tumor specimens and integrate them with in vivo cancer phenotypes.

41 citations


Journal ArticleDOI
TL;DR: Transient inhibition of ERG expression in TMPRSS2-ERG+ cancer models leads to a contraction of the androgen transcriptome, and ERF mRNA level inversely correlates with androgen-driven transcription in the absence of androgen receptor amplification.
Abstract: 274 Background: Recent genomic profiling of primary and metastatic prostate cancers revealed up to 27% of tumors contain putative loss-of-function point mutations or copy number deletions within the gene ERF, an ETS transcriptional repressor with a remarkably similar DNA-binding domain to the TMPRSS2-ERG gene product. Methods: Bioinformatic analysis of 450 patient tumors was obtained from the TCGA and SU2C datasets. Transcriptomic and cistromic analysis was achieved by RNA-seq and ChIP-seq on VCaP cells, as well as patient-derived organoid cultures of both normal and neoplastic prostates. Gene expression was inhibited by CRISPR or shRNA technology. Results: ERF copy number deletions are associated with Gleason 8+ primary disease (p = 0.0369), and ERF mRNA level inversely correlates with androgen-driven transcription (p < 0.0001) in the absence of androgen receptor amplification. Transient inhibition of ERG expression in TMPRSS2-ERG+ cancer models leads to a contraction of the androgen transcriptome. On th...

1 citations