Project description:High-grade serous ovarian cancer (HGSOC) is thought to originate from the fallopian tube (FT), highlighting the importance of studying molecular features across tumor samples. This dataset contains bulk RNA sequencing data from tumor samples of HGSOC patients. The data can be used for driver mutations and copy number alterations (CNAs) profiling and analysis of gene expression patterns, including regions relevant to HLA typing. This submission contains bulk RNA sequencing data associated with this study.
Project description:While immune checkpoint blockade (ICB) therapy has significantly improved the outcome of metastatic melanoma and non-small cell lung cancer (NSCLC), most patients do not derive long-term benefits. Previous studies suggest that treatment failure is partly due to insufficient immune recognition of tumor antigens (TAs). Notably, immune targeting of TAs has focused on TAs derived from non-synonymous genomic mutations. We used a proteogenomic approach combining RNA-sequencing and mass spectrometry to study the MHC I-immunopeptidome of cutaneous melanoma and NSCLC samples. The RNA-sequencing of each sample was used to construct sample-specific databases for the mass spectrometry-based identification of MHC I-associated peptides (MAPs). MAPs were then filtered based on their RNA expression in the respective cancer types from The Cancer Genome Atlas (TCGA-SKCM for melanoma MAPs, or TCGA-LUSC and TCGA-LUAD for NSCLC MAPs) vs. benign tissues (from the Genotype-Tissue Expression (GTEx) Project, medullary thymic epithelial cells, purified blood and bone marrow cells, and normal melanocytes for melanoma or bronchial brushing samples for NSCLC). MAPs were classified as mutated tumor-specific antigens (mTSAs, derived from non-synonymous mutations expressed in the sample of origin), or unmutated tumor antigens: aberrantly expressed tumor-specific antigens (aeTSAs, no/low expression in benign tissues and at least two times higher expression in TCGA), tumor-associated antigens (TAAs, significant expression in benign tissues and at least two times higher expression in TCGA), lineage-associated antigens (LSAs, specific expression to cancer and normal tissue of origin, i.e., lung and bronchial brushing samples for NSCLC or skin and melanocytes for melanoma). The tumor antigens described here represent attractive targets for immunotherapy of melanoma and NSCLC.
Project description:We report results on microRNA profiles revealing the distribution of "isomirs" of microRNA in a cancerous state. Deep sequencing was conducted at Stanford University and data analysis was conducted at the University of Connecticut Health Center. Small RNA profiling to deduce differential microRNA expression levels along various stages of melanoma. Deep sequencing was performed on formalin-fixed paraffin-embedded (FFPE) archived tissue samples, fresh frozen samples from melanomas, and cell lines.
Project description:In this study, we investigated somatic mutations in T cells in patients with various hematological disorders. To analyze immune cell phenotypes with somatic mutations, we performed scRNA+TCRab sequencing from 9 patients with chronic GVHD and clonal expansions of CD4+ or CD8+ T cells based on T cell receptor sequencing. CD45+ PBMCs (lymphocytes and monocytes) were sorted with BD Influx cell sorter and subjected to sequencing with Chromium VDJ and Gene Expression platform (v1.1, 10X Genomics). Sequencing was performed with Novaseq 6000 (Illumina). The immune cell phenotypes were compared to healthy controls processed in the same laboratory (accession number E-MTAB-11170). Due to data privacy concerns, the raw sequencing data is in the European Genome-Phenome Archive (EGA) under accession code [xxxx] and can be requested through the EGA Data Access Committee.
Project description:Chronic sun-damaged (CSDhigh) melanoma represents 10-20% of cutaneous melanomas and is characterized by infrequent BRAF V600E mutations and high mutational load. However, the order of genetic events, or the extent of intra-tumor heterogeneity (ITH) in CSDhigh melanoma is still unknown. Ultra-deep targeted sequencing of 40 cancer-associated genes was performed in 73 in situ or invasive CMM, including 23 CSDhigh cases. In addition, we performed whole-exome and RNA sequencing on multiple regions of primary tumor and multiple in-transit metastases from one CSDhigh melanoma patient. We found no significant difference in mutation frequency in melanoma-related genes or in mutational load between in situ and invasive CSDhigh lesions while this difference was observed in CSDlow lesions. In addition, increased frequency of BRAF V600K, NF1 and TP53 mutations (P < 0.01, Fisher’s Exact Test) was found in CSDhigh melanomas. Sequencing of multiple specimens from one CSDhigh patient revealed strikingly limited ITH with > 95% shared mutations. Our results provide evidence that CSDhigh and CSDlow melanomas are distinct molecular entities that progress via different genetic routes.
Project description:The high mutation rate across the whole melanoma genome provides a major challenge in stratifying true driver events from the background mutations. Many non-coding recurrent events, such as those occurred in enhancer, can shape tumor evolution, emphasizing the importance in systematically deciphering enhancer disruptions in melanoma. Here, we leveraged 297 melanoma whole-genome sequencing (WGS) samples to prioritize highly recurrent regions (HRRs). By performing a genome-scale CRISPR interference (CRISPRi) screen on HRR-associated enhancers in melanoma cells, we identified 66 significant hits which could have tumor-suppressive roles. These functional enhancers show unique mutational patterns independent of classical significantly mutated genes in melanoma. Target gene analysis for the essential enhancers revealed many known and hidden mechanisms underlying melanoma development. We demonstrated that a super enhancer element could modulate melanoma cell proliferation by targeting MEF2A and another distal enhancer was able to sustain PTEN tumor-suppressive potential via long-range interaction. Our study established a catalogue of crucial enhancers and their target genes in melanoma development and progression, which illuminates the identification of novel mechanism of dysregulation for melanoma driver genes and new therapeutic targeting strategy.
Project description:The high mutation rate across the whole melanoma genome provides a major challenge in stratifying true driver events from the background mutations. Many non-coding recurrent events, such as those occurred in enhancer, can shape tumor evolution, emphasizing the importance in systematically deciphering enhancer disruptions in melanoma. Here, we leveraged 297 melanoma whole-genome sequencing (WGS) samples to prioritize highly recurrent regions (HRRs). By performing a genome-scale CRISPR interference (CRISPRi) screen on HRR-associated enhancers in melanoma cells, we identified 66 significant hits which could have tumor-suppressive roles. These functional enhancers show unique mutational patterns independent of classical significantly mutated genes in melanoma. Target gene analysis for the essential enhancers revealed many known and hidden mechanisms underlying melanoma development. We demonstrated that a super enhancer element could modulate melanoma cell proliferation by targeting MEF2A and another distal enhancer was able to sustain PTEN tumor-suppressive potential via long-range interaction. Our study established a catalogue of crucial enhancers and their target genes in melanoma development and progression, which illuminates the identification of novel mechanism of dysregulation for melanoma driver genes and new therapeutic targeting strategy.