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ID06625203

International Study Building a Large Collection of Clinical, Imaging, and Molecular Data from Cancer Patients to Advance Personalized Treatment

Led by OWKIN · Updated on 2024-10-03

7000

Participants Needed

5

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Cancer is a leading cause of illness and death worldwide, with treatment challenges arising from the complex interactions between cancer cells and their surrounding environment, known as the tumor microenvironment TME. Recent advances in artificial intelligence and sequencing technologies have opened new possibilities for personalized treatment strategies by better understanding these complex biological networks. This research focuses on characterizing the TME and its impact on treatment resistance and sensitivity, including immunotherapy and targeted therapies, across various cancer types. The MOSAIC study is an international, non-interventional research project collecting extensive molecular and clinical data from over 2,000 tumor samples from patients with different cancers. The study gathers multiple types of data, including clinical information, microscopic images, and spatial transcriptomics, with additional data from RNA sequencing, whole exome sequencing, and single-cell transcriptomics when possible. Tumor samples must be formalin fixed and paraffin embedded FFPE and are sourced from previous biopsies or surgical resections stored in pathology archives. This approach aims to create a detailed atlas of cancer and its microenvironment to support new drug discovery and patient subgroup identification. Participants diagnosed with eligible cancers provide archived tumor tissue and associated clinical data for analysis. Researchers will assess gene and protein features linked to potential drug targets and novel biomarkers, as well as biological pathways related to patient outcomes and treatment responses. The study involves long-term follow-up, with data collection continuing up to 16 years from diagnosis. This comprehensive data gathering aims to improve understanding of cancer biology and support the development of personalized treatment options while monitoring safety and outcomes over time.

CONDITIONS

Brief Title

A Non-interventional, International, Multicentre Clinical Research Study to Build the Largest Collection of Multimodal Data (Including Clinical Data, Imaging Data and Omics Data) in Oncology

Research Team

H

Hubert Chaperon

G

Ginevra Ferrarini

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