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• Detection of clinically relevant genetic and transcriptomic landscape in DLBCL uniformly treated by R-CHOP

  Recent studies using next-generation sequencing strategies have described the landscape of genetic alterations in diffuse large B-cell lymphoma (DLBCL). However, little is known about the clinical relevance of recurrent mutations and copy number alterations and their transcriptional footprints. This study examines the frequency, interaction and clinical impact of recurrent genetic aberrations in DLBCL using high-resolution technologies in a large population-based cohort.

  Dataset EGAD00001003783

• Whole-genome plasma DNA sequencing in CRC patients under anti-EGFR therapy

  In this study we performed whole genome sequencing of plasma DNA (plasma-Seq) of 19 plasma-DNA samples from a total of 10 patients treated with anti-EGFR therapy. We demonstrated that development of resistance to anti-EGFR therapies is frequently associated with focal amplifications of KRAS, MET, and ERBB2. We also showed that focal KRAS amplifications can be acquired in tumor genomes of patients under cytotoxic chemotherapy. Furthermore, we provide evidence that specific chromosomal polysomies, such as overrepresentations of 12p and 7p, harboring KRAS and EGFR, respectively, determine responsiveness to anti-EGFR therapy.

  Dataset EGAD00001000748

• Identification of drug resistance genes in cancer cell lines by insertional mutagenesis

  Our aim is to identify genes involved in resistance to anti-cancer therapies. In order to do this we have taken advantage of a lentiviral vector (LV)-based insertional mutagen to mutagenize cancer cell lines. LV-transduced cell lines were then treated with anti-cancer therapies and the emergence of resistant clones scored. DNA from pools of resistant clones was collected, subjected to custom capture by baits designed against the LV sequence, and then sequenced to identify the LV-genomic junction. We hope that the identification of recurrently targeted genes in resistant cell population will allow us to identify genes that mediate drug resistance.

  Dataset EGAD00001002207

• Impact of Mobile Element Insertions on Human Transcriptome Variation

  Mobile DNA elements are ubiquitous in nearly all species and mobile element insertions can affect nearby gene expression through many mechanisms, from disrupting coding regions to initiating DNA methylation to altering RNA splicing patterns. Thousands of mobile element insertions are still polymorphic in human populations, and these polymorphic mobile element insertions (pMEIs) can contribute to transcriptome and phenotypic variation in humans. We identified and genotyped pMEIs using the whole genome sequencing (WGS) data from the Genotype-Tissue Expression (GTEx) project. We then used the extensive multi-tissue transcriptome data from the GTEx project to systematically assess the effects of pMEIs on human transcriptome variation.

  Study phs002030

• Longitudinal copy number variation analysis from plasma DNA of head and neck cancer patients under re-radiotherapy

  Recurrent locally advanced head and neck cancer (HNC) patients, receiving re-radiotherapy (re-RT), are presented with short progression-free (PFS) and overall survival. Hence, biomarkers predicting therapy failure are urgently needed. We analyzed copy number variations (CNVs) in blood plasma of HNC patients collected before, during and after re-RT. Detectable CNVs after five and ten fractions of re-irradiation as well as at the end of re-RT were associated with short PFS. Furthermore, we found that CNV kinetics in longitudinally collected plasma reflected therapy response and could detect disease progression in advance of radiographic tumor assessments.

  Study EGAS50000000163

• Enabling sensitive and precise detection of ctDNA through somatic copy number aberrations in breast cancer

  Cell-free DNA (cfDNA) extracted from peripheral blood has emerged as a crucial biomarker source in oncology research. To enhance the detection of somatic copy number alterations (SCNAs) and circulating tumor DNA (ctDNA), we developed eSENSES, a 2Mb breast cancer-targeted NGS panel. It includes 15,000 genome-wide SNPs, 500 focal SNPs in breast cancer driver regions, and exons from 81 commonly altered genes, alongside a custom computational approach. eSENSES provides a reliable, powerful and cost-effective tool for monitoring disease progression and guiding therapeutic decisions in breast cancer patients.

  Study EGAS50000000793

• Regulatory Genomics of Human Embryonic Development

  We used epigenetic profiling to map active enhancers in the developing human limb and cortex as described in two published studies: Cotney J, Leng J, Yin J, Reilly SK et al. The evolution of lineage-specific regulatory activities in the human embryonic limb. Cell 2013;154(1):185-96. Reilly SK, Yin J, Ayoub AE, Emera D et al. Evolutionary changes in promoter and enhancer activity during human corticogenesis. Science 2015;347(6226):1155-9. We also used ChIP-seq to map binding sites for the chromatin modifier CHD8 in the developing human brain, as described in one published study: Cotney J, Muhle RA, Sanders SJ, Liu L et al. The autism-associated chromatin modifier CHD8 regulates other autism risk genes during human neurodevelopment. Nat Commun 2015;6:6404. We are also depositing primary human sequence reads related to processed datasets in the Gene Expression Omnibus under the following accession numbers: GSE42413 (Cotney et al. 2013); GSE63649 (Reilly et al. 2015); GSE57369 (Cotney et al. 2015).

  Study phs001226

• Integrative Somatic and Germline Computational Biology to Redefine Clinical Actionability in Solid Tumors

  Neuroendocrine tumors (NETs) are rare cancers that arise in the gastrointestinal tract and pancreas. The fundamental mechanisms driving gastroenteropancreatic NETs (GEP-NETs) growth remain incompletely elucidated; however, the heterogeneous clinical behavior of GEP-NETs suggests that both cellular lineage dynamics and tumor microenvironment influence tumor pathophysiology. Here, we performed single-cell RNA-sequencing (scRNA-seq) of fresh resections of GEP-NETs, including four pancreatic NETs, three small intestinal NETs, and one perigastric NET. We used single-cell sequencing to investigate the tumor and immune cellular landscapes of GEP-NET patients. Malignant GEP-NET gene and regulon expression was compared with normal, gastrointestinal endocrine cell differentiation and fate determination stages. We further characterized immune-immune and immune-tumor interaction networks within GEP-NETs, identifying novel therapeutic opportunities in the myeloid compartment of the microenvironment. Our findings highlight the transcriptomic heterogeneity that distinguishes the cellular landscapes of GEP-NET anatomic subtypes and reveal potential avenues for future precision medicine therapeutics.

  Study phs003141

• Single nucleus RNA sequencing of squamous cell carcinoma arising from mature teratoma of the ovary

  Squamous cell carcinoma arising from mature teratoma is one of the rare ovarian cancers. Therefore, the detailed molecular background of this disease has not been elucidated. The purpose of this study is to investigate the single-cell transcriptional landscape of this disease.

  Study JGAS000521

• Human Cancer-Targeted Immunity via Transgenic Hematopoietic Stem Cell Progeny

  Analysis of a patient biopsy from the clinical trial (NCT03240861), a first-in-human study of transgenic NY-ESO-1 TCR- T cells and NY-ESO-1 TCR+ sr39tk autologous hematopoietic stem cells tandem therapy for solid tumors after myeloablative conditioning chemotherapy with busulfan and fludarabine. Single-cell RNAseq and single-cell ATACseq analysis from peripheral blood mononuclear cells obtained from subject NYSCT-03.

  Study phs003898