8431 results for "canc*"

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• Arcagen - Sarcoma

  Arcagen is an EORTC/SPECTA pan-European project that aims to recruit 1000 rare cancer patients from different tumour domains of EURACAN. This study collected samples from advanced or metastatic rare cancer from patients older than 12, and analysed them using Foundation Medicine next-generation sequencing (NGS) panels (FoundationOne CDx for FFPE samples or FoundationOne Liquid CDx for blood samples). Here we are submitting the dataset that contain NGS files in .BAM format from 62 patients with undifferentiated sarcoma of the bone; aggressive angiomyxoma; alveolar soft part sarcoma; small round cell sarcoma without EWSR1 and CIC translocations; undifferentiated pleomorphic sarcoma; undifferentiated sarcoma; myxofibrosarcoma; or sarcoma with an incidence of less than 1 per 10 million.

  Dataset EGAD50000000902

• Whole-exome sequencing data for breast cancer patients

  This datasets contains the FASTQ files sequenced by Illumina NovaSeqX Plus, and the variants called from the sequencing data.

  Dataset EGAD50000002800

• DAC for study of Zanidatamab in breast cancer patients

  This is the DAC for manuscript "Zanidatamab in Patients with Early Stage HER2-positive Breast Cancer: The NeoZanHER Phase 2 Single-Arm Open-Label Trial"

  Dac EGAC50000001059

• Single-molecule nanopore sequencing of plasma and cerebrospinal fluid cell-free DNA from paediatric patients with brain and extracranial solid tumours.

  Cell-free DNA (cfDNA) profiling enables minimally invasive cancer detection and monitoring. Here, we report single-molecule nanopore sequencing data generated using the SIMMA assay for 792 plasma and cerebrospinal fluid cfDNA samples from 277 paediatric patients with diverse brain and extracranial tumours. SIMMA is a low-input single-molecule sequencing approach that enables multimodal whole-genome and high-depth targeted sequencing of the same cfDNA sample for both tumour-agnostic and tumour-informed liquid biopsy analysis (Sauer et al. 2026).

  Study EGAS50000001839

• Detection of high-grade serous ovarian cancer using TP53 mutation burden in uterine lavage

  In total, 436 DNA samples from the 278 patients were processed for TP53 ultradeep duplex sequencing: 278 lavages, 86 tissue samples (some patients had multiple tissue samples), and 72 blood samples. Duplex sequencing was performed on an Illumina NovaSeq 6000 by TwinStrand Biosciences using a capture panel targeting the coding regions of the TP53 gene. Data were processed by TwinStrand Biosciences and .bam files were created for each sample.

  Dataset EGAD50000002776

• Single-cell RNA sequencing of liver metastasis-derived colorectal cancer organoids profiling cellular heterogeneity and lineage dynamics across time

  The objective of this analysis was to identify, at single-cell resolution, trasncriptionally distinct subpopulations in untreated metastatic colorectal cancer organoids with diverse genetic backgrounds and to investigate their temporal dynamics.

  Study EGAS50000001927

• Transcriptome profiling of liver metastasis-derived colorectal cancer organoids to dissect pro-differentiative effects of TGFB1 and IL-6

  Bulk RNA sequencing was performed on patient-derived xenograft (PDX)-derived organoid models of metastatic colorectal cancer (mCRC). The aim of this study was to test the effect of IL-6 and TGFbeta1 on mCRC organoid cell differentiation. Transcriptomic profiling was conducted following cytokine treatments to investigate molecular changes associated with treatments. Three biological replicates were included for each experimental condition (control, IL-6, and TGF-beta1 treatments).

  Study EGAS50000001914

• Bulk RNA sequencing of metastatic colorectal cancer PDX-derived organoids - untreated and treated with IL-6 or TGF-beta1

  Bulk RNA sequencing was performed on patient-derived xenograft (PDX)-derived organoid models of metastatic colorectal cancer (mCRC). The aim of this study was to test the effect of IL-6 and TGF-beta1 on mCRC organoid cell differentiation. Transcriptomic profiling was conducted following cytokine treatments to investigate molecular changes associated with treatments.

  Dataset EGAD50000002782

• Single-cell transcriptomic profiling of metastatic colorectal cancer organoids maintained in growth medium.

  Single-cell RNA sequencing was performed on metastatic colorectal cancer (mCRC) organoids derived from patient-derived xenograft (PDX) models. Organoids were seeded in 12-well plates, embedded in 200 µL of Matrigel or BME diluted 1:1 with culture medium, and maintained with EGF-supplemented growth medium. After 7 days (or 11 days) of growth, organoids were harvested, dissociated, and live single cells were sorted for single-cell RNA sequencing using the 10x Genomics platform.

  Dataset EGAD50000002797

• IRCCS Candiolo - Quantitative Cancer Cell Biology (QCCB)

  DAC for Quantitative Cancer Cell Biology (QCCB) datasets

  Dac EGAC50000001019