8224 results for "canc*"

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• Methylation data for Genomic landscapes of endometrioid and mucinous ovarian cancers and morphologically similar tumor types

  Study EGAS00001008175

• A spatiotemporal cancer cell trajectory underlies glioblastoma heterogeneity

  Abstract: Cancer cells display highly heterogeneous and plastic states in glioblastoma, an incurable brain tumour. However, how these malignant states arise and whether they follow a tractable cellular trajectory across tumours is poorly understood. Here, we generated a deep single cell and spatial multi-omic atlas of human glioblastoma that pairs transcriptomic, epigenomic and genomic profiling of 12 tumours across multiple regions. We identify that glioblastoma heterogeneity is driven by spatially-patterned transitions of cancer cells from developmental-like states towards those defined by a glial injury response and hypoxia. This cancer cell trajectory regionalizes tumours into distinct tissue niches and manifests in a conserved manner across tumours as well as genetically distinct tumour subclones. Moreover, using a new deep learning framework to jointly map cancer cell states and clones in situ, we show that tumour subclones are finely spatially intermixed through glioblastoma tissue niches. Finally, we show that this cancer cell trajectory is intimately linked to myeloid heterogeneity and unfolds across regionalised myeloid signalling environments. Our findings define a stereotyped trajectory of cancer cells in glioblastoma and unify glioblastoma tumour heterogeneity into a tractable cellular and tissue framework.

  Dataset EGAD00001015516

• Analysis of Somatic Mutations and Neoantigen Landscape from Liquid Biopsy-Derived cfDNA in Advanced Cancers

  This study involves paired whole-exome sequencing (WES) of germline DNA and plasma-derived circulating cell-free DNA (cfDNA) from patients with advanced-stage cancers, aiming to identify somatic mutations and characterize potential neoantigens for immunotherapeutic targeting.

  Dataset EGAD50000001671

• Exome (FrTu, cfDNA and normal), transcriptome (FrTu) and single-cell (PBLs) sequencing of metastatic cancer patients

  Whole Exome Sequencing of tumor biopsy DNA (FrTu), cfDNA and matching normal PBMC DNA; total RNA-Seq of FrTu samples; and scRNA- and scTCR-seq of PBLs from metastatic cancer patients included in Garcia-Garijo et al., 2026.

  Dataset EGAD50000001672

• PBMCs Bellini TNBC anti-PD1 monotherapy

  Immune checkpoint blockade (ICB) combined with chemotherapy (CT) has improved outcome in high-risk early-stage triple-negative breast cancer (TNBC); yet it is unclear which patients benefit from the addition of ICB beyond chemotherapy alone. We profiled 67 serial tumor and 175 blood samples obtained before and during anti-PD1 treatment across 3 breast cancer trials using single-cell transcriptomic and T cell receptor (TCR) sequencing. Early intratumoral T cell expansion emerged as a consistent hallmark of clinical benefit. This expansion was reflected in increased TCR sharing between tumor and blood after treatment initiation, with shared blood T cells displaying immune-activated programs and their tumor counterparts enriched for expanding clonotypes, suggesting blood-to-tumor trafficking of activated T cells. In TNBC treated with anti-PD1+CT, T cell expansion distinguished an immune-driven response from a chemotherapy-dominant route to pathological complete response (pCR). To enable baseline patient stratification, we derived a 15-gene tumor signature predictive of T cell expansion, which associated with response in independent breast cancer cohorts and with improved survival across ICB-treated cancer types. Our data establish T cell expansion as an early marker of sustained ICB response and could allow stratification of patients likely to benefit from the addition of ICB to chemotherapy.

  Study EGAS50000002067

• PARADIGM: Combined ctDNA and serum PSA for dynamic monitoring of metastatic prostate cancer starting first-line treatment

  The prognosis of newly-diagnosed metastatic prostate cancer is highly variable. The PARADIGM prospective cohort study evaluated predictors of survival in blood collected at the start of each of the first six treatment cycles from 114 high-volume metastatic patients starting androgen deprivation therapy combined with docetaxel or an androgen receptor pathway inhibitor.

  Study EGAS50000001357

• Clinical Outcomes of 344 Diffuse Large B-Cell Lymphoma patients

  This study examines clinical outcomes of patients with diffuse large B-cell lymphoma (DLBCL). We analyzed a cohort of 344 patients from the German High-Grade Non-Hodgkin Lymphoma Study Group (DSHNHL). To protect patient confidentiality, all samples were pseudonymized. The dataset includes clinical key characteristics, such as patient age at diagnosis, sex, ECOG performance status, disease stage, serum lactate dehydrogenase levels, bulky disease, bone marrow involvement, extranodal involvement, and B-symptoms. We used these data alongside proteomic and transcriptomic profiles to explore relationships between clinical features and molecular signatures, reconstructing regulatory networks. Insights from this integrative analysis aim to identify key pathological drivers and biomarkers of DLBCL progression, ultimately informing improved risk stratification and targeted therapeutic approaches.

  Study EGAS50000001054

• IMMUcan Upstream SCCHN3 cohort

  The goal of IMMUcan is to understand how the immune system interacts with tumors and how therapeutic interventions influence this interaction. This cohort includes patients from the UPSTREAM trial, with squamous cell carcinoma of the head and neck (SCCHN) cancer which has spread (metastatic) or the tumour has come back after previous treatment (recurrent). Comprehensive profiling data are integrated with longitudinally collected clinical information. Cellular profiling of the same tumor samples was performed using multiplex immunofluorescence imaging, imaging mass cytometry, and H&E staining.

  Study EGAS50000001505

• IMMUcan SCCHN1 cohort

  The goal of IMMUcan is to understand how the immune system interacts with tumors and how therapeutic interventions influence this interaction. This cohort includes patients with confirmed locally recurrent and/or metastatic squamous cell carcinoma of the head and neck (SCCHN) who receive first-line treatment with immune checkpoint inhibitors (ICI) or ICI combined with chemotherapy. Comprehensive profiling data are integrated with longitudinally collected clinical information. Cellular profiling of the same tumor samples was performed using multiplex immunofluorescence imaging, imaging mass cytometry, and H&E staining.

  Study EGAS50000001533

• Whole-genome sequencing study of uveal melanoma

  Uveal melanoma is the most common primary intraocular cancer, characterized by metastasis-related mortality. Here, we explored whole-genome sequences from 40 primary uveal melanomas to illustrate the landscape of genomic mutations and investigate their association with prognosis.

  Study EGAS50000001603