Most of the molecular screening programs have allowed to successfully guide patients to personalized therapy only for a minority of patients (10-20%) and few patients have actually benefit from these programs with low objective response under personalized therapy.~During the course of disease and / or of treatment, tumors become more heterogeneous and include a collection of cells harboring distinct molecular signatures with differential levels of sensitivity to treatment. Assessment of tumor heterogeneity and plasticity are essential for the development of effective therapies. Longitudinal analysis of biopsy samples is of considerable interest to assess the complex clonal architecture of cancers and potentially adapt cancer treatment to tumor profile/characteristics overtime. In this context, profiling of circulating tumor DNA using non-invasive liquid biopsies is also an interesting approach to assess cancer evolution by showing the contribution of clonal heterogeneity to chemotherapy resistance and metastasis in high-risk patients.~The proposal is to conduct a prospective, multi-cohort study aiming to decipher molecular profiles/biological characteristics of advanced cancer patients during the course of their disease with longitudinal and sequential analyses of tumor and liquid biopsies. This approach will allow i) to develop a model in order to predict tumor response / resistance in real life conditions and to better understand adaptive mechanisms and ii) to potentially propose therapeutic options to enrolled patients following the review of the biological/molecular data generated during this study and during a Molecular Tumor Board in case of disease progression. This study will include 12 cohorts according to tumor type and standard treatment received (See Inclusion criteria I1). Patient will be enrolled before the initiation of standard anti-cancer treatment.
The proposal is to conduct a prospective, multi-cohort study aiming to decipher molecular profiles/biological characteristics of advanced cancer patients during the course of their disease with longitudinal and sequential analyses of tumor and liquid biopsies. This approach will allow i) to develop a model in order to predict tumor response / resistance in real life conditions and to better understand adaptive mechanisms and ii) to potentially propose therapeutic options to enrolled patients following the review of the biological/molecular data generated during this study and during a Molecular Tumor Board in case of disease progression. This study will include 12 cohorts according to tumor type and standard treatment received (See Inclusion criteria I1). Patient will be enrolled before the initiation of standard anti-cancer treatment.