4772 results for "*oma"

in 27.80 milliseconds.

• RNAseq for 208 patients with medulloblastoma cancer (MB_COMICS cohort)

  This dataset contains 208 paired fastq files sequenced with Illumina HiSeq 2500.

  Dataset EGAD50000000600

• MB_COMICS_Methylome

  Medulloblastoma (MB) is the most common malignant brain tumor in children. It is a neuroectodermal tumor located in the cerebellum. International consensus recognizes four distinct subgroups of MBs including Wingless (WNT), Sonic Hedgehog (SHH), Group 3 (G3), and Group 4 (G4) with distinct molecular characteristics, prognoses, and mortality rates in patients. Here, we have compiled and evaluated a large international MB cohort for which we generated methylome data for 369 primary MB patient samples.

  Dataset EGAD00010002669

• Berlin Neuroblastoma Dataset

  Study EGAS00001004022

• Sequence data to study genomic CNVs that drive apoptotic resistance and relapses on immune checkpoint inhibitors

  This project investigates the genomic mechanisms underlying acquired resistance to immune checkpoint inhibitors (ICIs) across tumor types, addressing the critical clinical problem of treatment relapses where the molecular basis remains poorly understood. Through integrative genomic analyses of longitudinal clinical melanomas, functional CRISPR-Cas9 screens, and human and murine melanoma models, the study demonstrates that copy-number variant (CNV)-driven subclonal evolution is a primary driver of clinical relapses. The research identifies resistance-driver genes targeted by CNVs, including pro-apoptotic gene deletions and anti-apoptotic gene amplifications, which collectively downregulate apoptotic priming in resistant cells. The findings establish that modulating the apoptotic threshold can prevent or reverse ICI resistance, positioning CNV evolution as a key driver of acquired resistance and identifying apoptotic regulation as a therapeutic target to combat resistance evolution.

  Study EGAS50000001055

• Whole exome sequencing of patients with esophageal squamous cell carcinoma receiving chemoradiotherapy

  We performed multi-region whole exome sequencing (WES) of pre-treatment and recurrent esophageal cancer receiving chemoradiotherapy in order to characterize clonal evolution of treatment resistant clones. Furthermore, additional solitary pre-treatment tumor samples were subjected to WES to detect biomarkers predicting clinical outcome.

  Study JGAS000227

• NGS-based targeted exome sequencing of osteosarcoma

  The present study aimed to identify potential genomic markers for the prediction of chemosensitivity in patients with OS using a genomic approach.

  Study JGAS000282

• Whole genome sequencing analysis of hepatoblastoma

  Whole genome sequencing analysis of pediatiric liver tumor, hepatoblastoma, and their genomic and epigenomic features.

  Study JGAS000156

• Single cell sequences in patients with malignant tumors

  We perfomed single cell RNA and TCR sequencing of 2 lung adenocarcinoma patients and 3 head and neck squamous cell carcinoma to assess the detailed biological mechanisms of resistance to immune checkpoint inhibitors.

  Study JGAS000480

• Phylogenetic analysis of combined lobular and ductal carcinoma of the breast

  Breast cancer manifests in diverse forms, with particular reference to various cell types harboring different mutations and gene expression profiles. To elucidate the clonal relationship between cancer cells in tumors composed of both ductal and lobular phenotypes, we analyzed two combined lobular and ductal carcinoma (CLDC) cases, including one mixed ductal-lobular carcinoma (MDL) lesion, by next generation sequencing.

  Study JGAS000300

• Identification of genetic mutations characteristic for recurrence and metastasis of lymphoma.

  We collected the cancerous tissues of the primary and recurrence tumors from the same patient with recurrent B cell lymphoma, and the purpose of this study is to find the characteristics of recurrent B cell lymphoma by carrying out a "molecular profiling", mainly the exome sequence analysis of these tissues.

  Study JGAS000087