We are seeking comprehensive clinical data encompassing detailed patient history and molecular markers across multiple omics layers (genomics, epigenomics, proteomics, metabolomics, transcriptomics, and beyond). Our primary objective is to explore how these diverse data points can inform precision medicine strategies and novel therapeutic targets. By analyzing correlations between clinical profiles, disease progression, treatment outcomes, and molecular signatures, we aim to identify potential biomarkers for patient stratification and optimize drug-response predictions.
We are particularly interested in cases with thoroughly documented clinical backgrounds, including information on comorbidities, treatment regimens, and follow-up outcomes. Access to high-quality biospecimens, along with correlated omics data, will enable integrative analyses crucial for generating robust, reproducible insights. Ultimately, our goal is to drive more effective, personalized care paradigms through deeper molecular understanding of the disease process. We welcome any number of samples that fit our criteria, though ideally we would like to include a substantial cohort to bolster statistical power. If smaller cohorts are available, we would still be happy to assess their utility for our research.
We specifically seek pre-existing, electronically compiled datasets that integrate comprehensive clinical information with a broad range of molecular markers (genomics, epigenomics, proteomics, metabolomics, transcriptomics, etc.). While the underlying biospecimens could be solid tissue, blood, serum, or other materials, we do not require any new physical samples for this project. Our primary focus is on high-quality, well-curated digital data that enables robust, multi-dimensional analysis of patient clinical profiles alongside molecular features. If data originate from multiple biospecimen types, it is not mandatory for every case to include all sample types, provided the datasets remain sufficiently comprehensive to support meaningful correlative studies.
