A5013652847- Colorectal Cancer Treatments and Studies
- Cancer Genomics and Diagnostics
- Genetic factors in colorectal cancer
- Evolution and Genetic Dynamics
- Ferroptosis and cancer prognosis
- Bioinformatics and Genomic Networks
- Mathematical Biology Tumor Growth
- HER2/EGFR in Cancer Research
- Epigenetics and DNA Methylation
- Air Quality and Health Impacts
- Cancer, Hypoxia, and Metabolism
- Radiomics and Machine Learning in Medical Imaging
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Scientific Computing and Data Management
- Toxic Organic Pollutants Impact
- Carcinogens and Genotoxicity Assessment
- Glycosylation and Glycoproteins Research
- Cancer Immunotherapy and Biomarkers
- Research Data Management Practices
- Cancer Research and Treatments
- Cancer Cells and Metastasis
- Colorectal Cancer Surgical Treatments
- Genomics and Phylogenetic Studies
Candiolo Cancer Institute
2022-2024
University of Turin
2020-2024
Istituti di Ricovero e Cura a Carattere Scientifico
2022-2023
Abstract Molecular stratification using gene-level transcriptional data has identified subtypes with distinctive genotypic and phenotypic traits, as exemplified by the consensus molecular (CMS) in colorectal cancer (CRC). Here, rather than data, we make use of gene ontology biological activation state information for initial class discovery. In doing so, defined three pathway-derived (PDS) CRC: PDS1 tumors, which are canonical/LGR5 + stem-rich, highly proliferative display good prognosis;...
Epidermal growth factor receptor (EGFR) is a well-exploited therapeutic target in metastatic colorectal cancer (mCRC). Unfortunately, not all patients benefit from current EGFR inhibitors. Mass spectrometry-based proteomics and phosphoproteomics were performed on 30 genomically pharmacologically characterized mCRC patient-derived xenografts (PDXs) to investigate the molecular basis of response blockade identify alternative drug targets overcome resistance. Both tyrosine global...
Abstract Molecular stratification, across many tumour types, has used gene-level transcriptional data to identify subtypes associated with distinct genotypes and biological traits, as exemplified by the consensus molecular (CMS), more recently intrinsic CMS (iCMS), in colorectal cancer. In an attempt develop that closely align cancer-relevant phenotypic traits KRAS mutant tumours, here we present approach uses gene ontology activation state information, rather than data, for initial stages...
The breadth and depth at which cancer models are interrogated contribute to the successful clinical translation of drug discovery efforts. In colorectal (CRC), model availability is limited by a dearth large-scale collections patient-derived xenografts (PDXs) paired tumoroids from metastatic disease, where experimental therapies typically tested. Here we introduce XENTURION, an open-science resource offering platform 128 PDX patients with CRC, along matched PDX-derived tumoroids....
Liquid biopsy based on cell-free DNA (cfDNA) analysis holds significant promise as a minimally invasive approach for the diagnosis, genotyping, and monitoring of solid malignancies. Human tumors release cfDNA in bloodstream through combination events, including cell death, active passive release. However, precise mechanisms leading to shedding remain be characterized. Addressing this question patients is confounded by several factors, such tumor burden extent, anatomical vasculature...
Abstract Motivation The transition from evaluating a single time point to examining the entire dynamic evolution of system is possible only in presence proper framework. strong variability makes definition an explanatory procedure for data fitting and clustering challenging. Results We developed CONNECTOR, data-driven framework able analyze inspect longitudinal straightforward revealing way. When used tumor growth kinetics over 1599 patient-derived xenograft curves ovarian colorectal...
Abstract DNA sequence mutability in tumors with chromosomal instability is conventionally believed to remain uniform, constant, and low, based on the assumption that further mutational accrual a context of marked aneuploidy evolutionarily disadvantageous. However, this concept lacks robust experimental verification. We adapted principles mutation accumulation experiments, traditionally performed lower organisms, clonal populations patient-derived tumoroids empirically measured spontaneous...
ABSTRACT The breadth and depth at which cancer models are interrogated contribute to successful translation of drug discovery efforts the clinic. In colorectal (CRC), model availability is limited by a dearth large-scale collections patient-derived xenografts (PDXs) paired tumoroids from metastatic disease, setting where experimental therapies typically tested. XENTURION unique open-science resource that combines platform 129 PDX sister matched PDX-derived (PDXTs) patients with CRC,...
Patient-derived xenografts (PDXs) are tumour fragments engrafted into mice for preclinical studies. PDXs offer clear advantages over simpler in vitro cancer models - such as cell lines (CCLs) and organoids terms of structural complexity, heterogeneity, stromal interactions. Here, we characterise 231 colorectal at the genomic, transcriptomic, epigenetic levels, along with their response to cetuximab, an EGFR inhibitor used clinically metastatic cancer. After evaluating PDXs' quality,...
A bstract Patient-derived xenografts (PDXs) are tumour fragments engrafted into mice for preclinical studies. PDXs offer clear advantages over simpler in vitro cancer models - such as cell lines (CCLs) and organoids terms of structural complexity, heterogeneity, stromal interactions. We characterised 231 colorectal at the genomic, transcriptomic, epigenetic level measured their response to cetuximab, an EGFR inhibitor clinical use metastatic cancer. After assessing PDXs’ quality, stability,...
Making raw data available to the research community is one of pillars Findability, Accessibility, Interoperability, and Reuse (FAIR) research. However, submission public databases still involves many manually operated procedures that are intrinsically time-consuming error-prone, which raises potential reliability issues for both themselves ensuing metadata. For example, submitting sequencing European Genome-phenome Archive (EGA) estimated take 1 month overall, mainly relies on a web...
The transition from the evaluation of a single time point to examination entire dynamic evolution system is possible only in presence proper framework. strong variability makes definition an explanatory procedure for data fitting and clustering challenging. Here we present CONNECTOR, data-driven framework able analyze inspect longitudinal straightforward revealing way. When used tumor growth kinetics over 1599 patient-derived xenograft (PDX) curves ovarian colorectal cancers, CONNECTOR...