Project description:Background: Previous array CGH analyses have revealed several recurring genomic alterations in urothelial carcinoma. The most common genomic amplifications occur at 6p22 and 1q21-24. The main target gene at 6p22 is believed to be E2F3. This gene is frequently co-amplified with CDKAL1 and SOX4 and there are reports on 6p22 amplifications that do not include the E2F3 locus. Previous array CGH analyses have indicated multiple possible target regions at 1q21-24. However, due to complex rearrangements it has been difficult to identify specific 1q21-24 target regions and target genes. Results: We show that the most commonly amplified gene at 6p22 is SOX4 and that SOX4 can be amplified and over expressed without E2F3 or CDKAL1 being included in the amplicon. Hence, our data point to SOX4 as an auxiliary amplification target at 6p22. We further show that at least three amplified regions are observed at 1q21-24. Copy number data, combined with gene expression data, highlighted BCL9 and CHD1L as possible targets in the most proximal region and MCL1, SETDB1, and HIF1B as targets in the middle region, whereas no obvious gene targets could be determined in the most distal amplicon. We also highlight the enrichment of G4 quadruplex sequence motifs and the high number of intraregional sequence duplications, both known to contribute to genomic instability, as prominent features of the 1q21-24 region. Conclusions: Our detailed analyses of the 6p22 amplicon in urothelial carcinomas suggest SOX4 as an auxiliary target gene for amplification. We further demonstrate three separate target regions for amplification at 1q21-24 and identified BCL9, CHD1L, MCL1, SETDB1, and HIF1B as likely target genes within these regions. The study was conducted on genomic DNA from 68 primary fresh-frozen urothelial carcinoma tumors analysed using a Agilent SurePrint G3 4x180k Custom CGH Microarray Platform (028432). Samples were selected based on the presence of copy number alterations observed on lower resolution genomic data (32K BAC array). The majority of the BAC data is publicly available in GEO submissions GSE32535 and GSE19915. CN profiles for a minority of samples were derived from Illumina Methylation27k arrays according to Lauss et al 2012 [PMID: 22705924] and can be recreated from the data deposited in GSE33510 (derived CN data). Sample names are the same between all studies. This dataset also partly overlaps with Series GSE32894 (gene expression data). Names of the overlapping sample names are the same and indicated in the description field. Data from GSE32894 was used to calculate correlations between CN and gene expression.

Project description:Lymphedema (LD) is characterized by the accumulation of protein-rich interstitial fluid, lipids and a significant inflammatory cell infiltrate in the limb. It causes a significant morbidity and is a common disabling disease affecting more than 150 million people worldwide, however there is no yet curative treatment. In this study, we found that LD tissues from patients exhibit inflamed gene expression profile compared to their normal arm. This was next confirmed by a lipidomic analysis that revealed severe decrease in arachidonic acid-derived lipid mediators generated by the 15-lipoxygenase (15-LO) in lymphedematous arms. Using a mouse model of lymphedema, we reproduced the etiology of the human pathology including the loss of specialized pro-resolving lipid mediators that play essential role in resolution of inflammation. This was associated with a lack of nonlymphoid PPAR-positive regulatory T cells (Treg) recruitment in the injured limb adipose tissue. Importantly, we identified the lymphatic endothelial 15-LO as responsible for the chemoattraction and survival of this Treg subpopulation. These results were confirmed by an aggravation of LD and degradation of the lymphatic network in an original transgenic mouse model in which ALOX15 gene has been selectively deleted in the lymphatic system (ALOX15lecKO). Importantly, this phenotype was rescued by the injection of ALOX15-expressing lentivectors. These results provide evidence that lymphatic 15-LO may represent a novel therapeutic target for LD by serving as a mediator of nonlymphoid Treg cell population invasion into lymphedematous adipose tissue to resolve inflammation. Experimental workflow: To broadly identify gene expression signatures associated to secondary LD, we performed bulk-RNA sequencing on dermolipectomy tissue samples from women who developed LD after breast cancer. Four patient biopsies (normal arm and LD arm in each patient) were studied and the differential expression analysis (DEseq) followed by a protein-coding RNA profiling.

Project description:In-depth information regarding the DFCI OncoPanel sequencing panel has been described previously. Briefly, sequencing is performed using an Illumina HiSeq 2500 system (RRID:SCR_016383) with 2×100 paired-end reads. Samples must meet an average 50X coverage and minimum of 30X coverage for 80% of targets for analysis. For all samples, a board-certified molecular pathologist evaluates alterations and writes interpretations of the results. The three generations of OncoPanel use Mutect (RRID:SCR_000559) and GATK (RRID:SCR_001876) to interrogate possible alterations in the complete exonic DNA sequences of 275, 309, and 447 cancer-related genes, respectively, including substitutions, insertions, and deletions. Because tumor tissues are tested without a paired normal from individual patients, additional informatics steps are taken to identify common single nucleotide polymorphisms (SNPs). Any SNP present at >0.1% in Exome Variant Server, NHLBI GO Exome Sequencing Project (ESP) (RRID:SCR_012761), or present in dbSNP (RRID:SCR_002338) is filtered; however, variants also present in at least twice in COSMIC (RRID:SCR_002260) are rescued for manual review. Variants that appear two or more times in a panel of 150 normal samples sequenced in-house and are not present in COSMIC are also filtered. For copy number alteration (CNA) analysis, the workflow employs an in-house algorithm (RobustCNV) to cover exonic regions of targeted genes as well as select intronic regions. The depth of coverage of these regions is determined by counting the number of reads aligning within defined genomic intervals and then normalized against a panel of normals and corrected for GC bias. The copy number for a segmented genomic interval is calculated as a log2 ratio of the depth of coverage of this sample compared to a panel of normal (non-cancer) samples that are run on the same plate. In parallel (samples not included), additional cases were previously sequenced via the MSK-IMPACT platform. To ensure maximum overlap between the platforms, only single nucleotide variants (SNVs), dinucleotide/oligonucleotide variants (DNVs/ONVs), insertions/deletions (indels), high copy gains (amplifications), and homozygous deletions from 182 genes shared between all versions of both platforms were evaluated in our analyses involving samples from both platforms. To filter pathogenic and passenger mutations, missense, truncating (nonsense, frameshift, and splice site), and in-frame indel mutations from the 182 genes overlapping between the DFCI OncoPanel and MSK-IMPACT panels were subjected to analysis in the Cancer Genome Interpreter (CGI) suite (RRID:SCR_023752) with cancer type set to “Skin Cutaneous Melanoma (SKCM)”. Known pathogenic mutations, defined as those listed as pathogenic in ClinVar (RRID:SCR_006169), OncoKB (RRID:SCR_014782), and/or CGI databases, were included in downstream analyses. Mutations which had not been previously annotated but were predicted to be pathogenic mutations by CGI were also included. Missense SNV mutations called passengers in CGI were subjected to another round of analysis in the ChasmPlus suite with cancer type set to SKCM. Missense mutations called pathogenic via this approach (p < 0.05; FDR Q < 0.3) were salvaged and included in further analyses. All other mutations were excluded. TERT promoter mutations were evaluated via FATHMM-MKL. Mutations called pathogenic via this tool were included in downstream analyses. Clinical data for these cases is available in a supplementary file from the associated publication. OF NOTE, THE RAW SEQUENCING DATA FROM THESE SAMPLES CANNOT BE MADE PUBLICLY AVAILABLE BECAUSE THE RESEARCH PARTICIPANT CONSENT DOES NOT INCLUDE AUTHORIZATION TO SHARE IDENTIFIABLE DATA.

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ACGH of metastatic castration resistant prostate cancer (mCRPC)

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