Project description:This dataset was generated to study the transcriptomic alterations in tumor tissue of mPDAC patients from the Optimize-1 (A-20-1013-C-03), with available RNA-seq data and their associations with clinical efficacy endpoints from the 18-months follow up dataset.
Project description:The proliferation gene expression signature is a quantitative integrator of oncogenic events that predicts survival in mantle cell lymphoma Keywords: lymphochip; MCL; untreated Tumor biopsies from 71 untreated patients with mantle cell lymphoma
Project description:We analyzed the proteome of tumor and matched non-tumor biopsies from 51 treatment-naive Hepatocellular carcinoma (HCC) patients by DIA (SWATH). Thereby we aim to find subgroups of patients characterized by specific pathway activation. Furthermore, we aim to find novel factors involved in HCC development and novel biomarkers.
Project description:We analyzed the phospho-proteome of tumor and matched non-tumor biopsies from 51 treatment-naive Hepatocellular carcinoma (HCC) patients by label-free DDA. Thereby we aim to find subgroups of patients characterized by specific pathway activation. Furthermore, we aim to find novel factors involved in HCC development and novel biomarkers.
Project description:This dataset contains single-cell RNA sequencing (scRNA-seq) data generated from patients with M1-stage metastatic prostate cancer, comprising two complementary sample types: metastatic lesion biopsies from five patients and peripheral blood mononuclear cells (PBMCs) from seven patients. Together, these datasets support integrated profiling of the metastatic tumor microenvironment and the systemic immune landscape. The processed data include log-normalized gene expression matrices and detailed cell-level metadata, enabling analyses of tumor–immune interactions, circulating immune phenotypes, and molecular features associated with metastatic disease progression. A related bulk RNA-seq dataset from primary tumor biopsies is available (see Related Series: GSE297742), providing opportunities for comparative transcriptomic analyses between primary and metastatic disease states.
Project description:Mass spectrometry-based phosphoproteomics of tumor tissue or cell line lysates provides insight in aberrantly activated signaling pathways and potential drug targets. For improved understanding of the individual patient’s tumor biology, analysis of the phosphoproteome should be feasible and reproducible using tumor needle biopsies. We hereto scaled down a pTyr-phosphopeptide enrichment protocol to biopsy-level protein input and show its performance using colorectal cancer (CRC) cell line and needle biopsies from patients. In this study, the feasibility of label-free pTyr-phosphoproteomics at the biopsy level is demonstrated. Unsupervised cluster analysis shows that this approach can identify patient-specific profiles, which will improve our understanding of individual tumor biology and may enable future pTyr-phosphoproteomics-based TKI treatment selection.
Project description:Sentinel lymph node, the first node draining the primary tumor, is a key component of tumor microenvironment promoting immune tolerance. In melanoma, sentinel node is one of the most important prognostic factors and the most frequent site of regional metastasis. To unravel the immunomodulatory pathways that are triggered by melanoma cells in the draining node that allow tumor spreading, transcriptional profiles associated to disease progression were analyzed in archival sentinel node biopsies (SNB). Gene expression profiles of melanoma-positive and negative SNB selected to maximize the differences in terms of disease stage and course, revealed subgroups correlating with regional node involvement and disease progression within positive biopsies. Transcriptional profiles revealed that genes showing differential expression between tumor-positive SNB with/without disease progression were mainly related to inflammatory response and that were mostly down regulated in patients with poor prognosis. TNFRSF8 encoding CD30 showing up regulation in SNB from patients with progressing disease displayed higher expression by immunohistochemical staining compared to SNB from non progressing patients. Subpopulations of CD30 positive CD4/CD8 double negative and CD4 Foxp3/PD-1 CD147 positive T cells were identified by flow cytometry analysis in metastatic nodes, suggesting a potential role of regulatory and tolerogenic T cells in melanoma progression.