Primary Outcome Measures Recruitment Rate [ Time Frame: 24 weeks ] The Recruitment Rate will be assessed by the number of eligible patients approached vs the number of eligible patients consent for the study, providing a number of non-participations. This will be gathered as an aspect of feasibility. Retention Rate [ Time Frame: 24 weeks ] Retention rate[…]
Not Yet Recruiting
Primary Outcome Measures Phase 1: [ Time Frame: 28 days ] To determine the MTD and dosing schedule of TNG908 Phase 2: [ Time Frame: 16 weeks ] To assess anti-neoplastic activity of TNG908 in patients with MTAP-deleted advanced solid tumors by RECIST v1.1 Secondary outcome Measures Phase 1: [ Time Frame: 16 weeks ] To assess preliminary evidence of anti-neoplastic activity[…]
Malignant pleural mesothelioma (MPM) is a rare pleural cancer, which could be primary or secondary to an asbestos exposure. To enhance our knowledge of this rare disease, an exploration of genetic and tumor mechanism is mandatory. One of the principal difficulty is to harvest sufficient tumour pieces to perform multi-omics analysis. The goal of the SCITH-MESO study is to harvest larges pieces of tumour during a routine surgical procedure of MPM diagnosis by mean of pleural biopsies during VATS surgery. Operating samples will increase a tissue bank collection (CRB).
Dielectric Properties of Matched Tissue Samples From Thoracic Malignancies and Corresponding Normal Tissues
The purpose of the Dielectrics Properties of Thoracic Malignancies Study (DPTMS) is to provide a wealth of knowledge for investigators involved in establishing a new and effective treatment for a variety of solid tumors using tumor treatment fields. It is intended to provide biospecimen (tumor/healthy) together with demographic data (age, sex, race, occupational history, and other epidemiologic information), and clinical data (stage, treatment, survival information, and annotated CT’s). Our specific aims are to test the following hypotheses: 1) Electric properties of thoracic tumors differ from electric properties of surrounding healthy tissue 2) Different tumor types will have different electric properties 3) Electric properties of individual tumors are heterogeneous 4) Electric properties of tumors are related to the structure and composition of the underlying tissue 5) Use of standard medical imaging data (CT) will permit mapping of electric properties.