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| ID | Type | Description | Link |
|---|---|---|---|
| ID RCB 2025-A01462-47 | Other Identifier | ANSM |
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International study that will evaluate the association of prespecified biomarkers with resistance to Antibody-drug conjugates (ADCs), a type of targeted cancer treatment currently used in clinical practice for treating different tumor types.
Over the past five years, antibody-drug conjugates (ADCs) have dramatically improved survival in solid and hematologic malignancies. Among 14 ADCs approved worldwide, nine are now available in Europe, and over 370 others are in clinical development. This expanding landscape indicates that ADCs could soon replace conventional chemotherapy across multiple tumor types. Given this rapid evolution, clinicians will need to select the most suitable ADC for each patient, considering tumor biology, microenvironment (TME) and patient-specific factors. Yet, despite remarkable efficacy, resistance to ADCs eventually arises. Understanding resistance mechanisms is therefore essential to guide therapeutic sequencing and optimize next-generation ADCs.
ADCs are complex molecules combining an antibody, a linker, and a cytotoxic payload. Their activity depends on factors such as antigen expression, internalization, linker stability, and payload sensitivity. Resistance can result from altered vascular perfusion, antigen downregulation, defective internalization or trafficking, impaired linker cleavage, drug efflux, or payload target modifications. These multifactorial processes differ from those driving resistance to traditional chemotherapies. Existing preclinical and clinical tools (Patient-Derived Xenograft(PDX)/Cell-line-Derived Xenograft (CDX) models, standard imaging, Immunohistochemistry (IHC), genomic profiling) fail to capture this complexity or predict ADC efficacy and resistance. Furthermore, ADCs often cause significant toxicities-on-target or off-target-affecting the ocular surface, skin, lungs, and peripheral nerves. Patient factors such as age, comorbidities, and weight influence these events. Understanding the determinants of toxicity is critical to maintain quality of life and treatment adherence.
The OASIS program aims to identify predictive biomarkers of ADC response and toxicity to enable personalized ADC selection and toxicity prevention. This multicenter study will integrate advanced technologies-digital pathology, liquid biopsy, and Patient-derived organoids (PDOs)-to generate comprehensive biological and clinical data. Using these datasets, a multimodal machine-learning model (OASIS Multiparametric Score) will be developed to predict both efficacy and key toxicities of ADCs. The project will prospectively include patients receiving ADCs in standard practice, with longitudinal tumor and blood sampling to investigate biomarkers of resistance and toxicity. In parallel, preclinical models derived from patient tumors will explore resistance mechanisms and screen ADC sensitivity.
A retrospective cohort of patients previously treated with ADCs will first be analyzed to prioritize biomarker candidates based on published data and prior findings. From this, five binary biomarkers will be selected for the primary objective. Combined with prospective data, this retrospective work will expand the translational biobank and support the construction of the OASIS score.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| T-DXd (trastuzumab deruxtecan) | Other | Standard of care T-DXd indication |
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| T-DM1 (trastuzumab emtansine) | Other | Standard of care T-DM1 indication |
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| SG (sacituzumab govitecan) | Other | Standard of care SG indication |
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| EV (enfortumab vedotin) | Other | Standard of care EV indication |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Biological samples collection | Procedure | Biological samples collection (tumor tissue, blood, sputum) before initiation of treatment, during treatment, and at treatment discontinuation. |
| Measure | Description | Time Frame |
|---|---|---|
| Biomarkers of resistance to ADC | Resistance is defined by differences in the frequency (higher or lower) of molecular aberrations detected between paired baseline samples and progression samples (i.e., samples collected at the time of disease progression under ADC treatment) | Through study completion, an average of 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Additional biomarkers of resistance characterised by histology | Differences in the frequency of molecular aberrations characterised by histologic/proteomic/genomic/transcriptomic analysis between samples of patients progressing on ADC and paired pre-treatment samples (beyond biomarkers of primary outcome) | Through study completion, an average of 3 years |
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Inclusion Criteria:
Exclusion Criteria:
Patients treated with an antibody drug conjugate in a curative setting;
Patients who did not consent to sample use;
Presence of another progressive pathology with short-term life-threatening prognosis;
Patients undergoing concurrent treatment for a malignancy or hematologic disorder distinct from the indication for which the ADC is being administered.
Patients with inadequate washout period prior to Cycle 1 Day 1, defined as:
Female participant who is pregnant, breastfeeding, or planning to become pregnant while enrolled in this study or within 90 days after the final administration of study treatment;
Person deprived of their liberty or under protective custody or guardianship.
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Marjorie Mauduit | Contact | +33 6 30481792 | m-mauduit@unicancer.fr | |
| Jérôme Lemonnier | Contact | j-lemonnier@unicancer.fr |
| Name | Affiliation | Role |
|---|---|---|
| Barbara Pistilli, MD, PhD | Gustave Roussy Cancer Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Gustave Roussy Cancer Center | Recruiting | Villejuif | 94805 | France |
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| questionnaires to collect patient reported outcomes | Behavioral | QLQ-C30, QLQ-FA12, HADS, EQ-5D 5L |
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| Biomarkers of ADC outcome | Progression-Free Survival (PFS) defined as the time from start of treatment and radiological progression or death, whichever occurs first. Tumor assessments are made by local investigators as per standard practice (RECIST 1.1.). Patients still alive at the cut-off time without documented progression (including lost to follow-up) will be censored at the time of latest evaluable efficacy assessment. | From first day of cycle 1 (each cycle is 21 to 28 days) to date of first documented progression or date of death from any cause, whichever came first, assessed up to 60 months |
| Biomarkers of ADC outcome | Objective Response Rate (ORR) defined as the proportion of patients with a confirmed complete response (CR) or partial response (PR) assessed by investigators after 6 months of treatment. | From first day of cycle 1 (each cycle is 21 to 28 days) to date of 6 months of treatment completion |
| Biomarkers of ADC outcome | Clinical Benefit Rate (CBR) defined as the proportion of patients who had a CR, PR, or stable disease for 6 months or more. | From first day of cycle 1 (each cycle is 21 to 28 days) to date of first documented progression or date of death from any cause, whichever came first, assessed up to 60 months |
| Biomarkers of resistance to ADC | Duration of response (DOR) defined as the time from treatment initiation to disease progression or death for patients who achieve CR or PR. | From first day of cycle 1 (each cycle is 21 to 28 days) to date of first documented progression or date of death from any cause, whichever came first, assessed up to 60 months |
| Biomarkers of ADC outcome | Overall Survival (OS) defined as the time from inclusion to death due to any cause. Patients still alive at the cut-off time (including lost to follow-up) will be censored at the last known alive date. | From first day of cycle 1 (each cycle is 21 to 28 days) to date of death from any cause, assessed up to 60 months |
| Expression of ADC target measured on CTC and within tumor tissue | Concordance between ADC target expression (HER2, TROP-2, Nectin-4) on pre- and post-treatment tumor biopsy (IHC) and antigen expression on Circulating Tumor Cells (CTCs). | Through study completion, an average of 3 years |
| Patients' reported outcomes (PROs) | Overall quality of life will be assessed using the EORTC-QLQ-C30 and EQ-5D-5L at Baseline, after 3 months of treatment completion, at treatment discontinuation (for progression or any other reason) | Through study completion, an average of 3 years |
| Patients' reported outcomes (PROs) | Fatigue will be assessed using QLQ-FA12 at Baseline, after 3 months of treatment completion, at treatment discontinuation (for progression or any other reason). | Through study completion, an average of 3 years |
| Patients' reported outcomes (PROs) | Anxiety and depression will be assessed using HADS questionnaire at Baseline, after 3 months of treatment completion, at treatment discontinuation (for progression or any other reason) | Through study completion, an average of 3 years |
| Treatment cost | Number of resources consumed in terms of treatment, hospitalization (for drug administration and toxicity), biological and radiological exams during the ADC treatment, in order to calculated the corresponding management cost. | Through study completion, an average of 3 years |
| ADC-related specific toxicities | Safety as measured by the frequency and severity of key ADC toxicity (Interstitial Lung Disease, skin toxicity, ocular toxicity, peripheral neuropathy) as measured by NCI-CTCAE v 5.0. | Through study completion, an average of 3 years |