Optimal Methods to Characterize ADC Resistance in Solid Tumors and Identify Clinically Useful Biomarkers

NCT ID: NCT07259226

Last Updated: 2025-12-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Clinical Phase

PHASE2

Total Enrollment

400 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-11-14

Study Completion Date

2030-11-01

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Advanced Breast Cancer Advanced Gastric Cancer Advanced Urothelial Cancer Advanced Non Small Cell Lung Cancer (NSCLC)

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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T-DXd (trastuzumab deruxtecan)

Standard of care T-DXd indication

Group Type OTHER

Biological samples collection

Intervention Type PROCEDURE

Biological samples collection (tumor tissue, blood, sputum) before initiation of treatment, during treatment, and at treatment discontinuation.

questionnaires to collect patient reported outcomes

Intervention Type BEHAVIORAL

QLQ-C30, QLQ-FA12, HADS, EQ-5D 5L

T-DM1 (trastuzumab emtansine)

Standard of care T-DM1 indication

Group Type OTHER

Biological samples collection

Intervention Type PROCEDURE

Biological samples collection (tumor tissue, blood, sputum) before initiation of treatment, during treatment, and at treatment discontinuation.

questionnaires to collect patient reported outcomes

Intervention Type BEHAVIORAL

QLQ-C30, QLQ-FA12, HADS, EQ-5D 5L

SG (sacituzumab govitecan)

Standard of care SG indication

Group Type OTHER

Biological samples collection

Intervention Type PROCEDURE

Biological samples collection (tumor tissue, blood, sputum) before initiation of treatment, during treatment, and at treatment discontinuation.

questionnaires to collect patient reported outcomes

Intervention Type BEHAVIORAL

QLQ-C30, QLQ-FA12, HADS, EQ-5D 5L

EV (enfortumab vedotin)

Standard of care EV indication

Group Type OTHER

Biological samples collection

Intervention Type PROCEDURE

Biological samples collection (tumor tissue, blood, sputum) before initiation of treatment, during treatment, and at treatment discontinuation.

questionnaires to collect patient reported outcomes

Intervention Type BEHAVIORAL

QLQ-C30, QLQ-FA12, HADS, EQ-5D 5L

Interventions

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Biological samples collection

Biological samples collection (tumor tissue, blood, sputum) before initiation of treatment, during treatment, and at treatment discontinuation.

Intervention Type PROCEDURE

questionnaires to collect patient reported outcomes

QLQ-C30, QLQ-FA12, HADS, EQ-5D 5L

Intervention Type BEHAVIORAL

Other Intervention Names

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Blood sample collection Sputum sample collection Tumor tissue sample collection

Eligibility Criteria

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Inclusion Criteria

1. Patients must have signed a written informed consent form prior to any trial specific procedures;
2. Patients must be ≥18 years old;
3. Histologically confirmed or radiologically documented unresectable locally advanced or metastatic cancer (Breast, Urothelial, Non small Cell Lung or Gastric) with an indication to receive an Antibody-Drug Conjugate (ADC) approved or accessible through an early access program;
4. Patients must have at least 2 tumor lesions (primary tumor can be included): at least one measurable tumor lesion for tumor evaluation according to response evaluation criteria in solid tumors (RECIST) V1.1 and at least one tumor lesion other than bone and brain for biopsy;
5. Patients must have a metastatic or locally advanced tumor site easily accessible to biopsy (with exception of bone and brain metastasis) and must have agreed to perform pretreatment and post-treatment biopsies; an archival pre-treatment biopsy may be used if it was collected within one month of enrolment, if no anticancer therapy was administered after the biopsy and if sufficient material is available for research;
6. Life expectancy must be ≥12 weeks according to the discretion of the investigator;
7. ECOG performance status ≤ 2;
8. Patients must have adequate hematologic and organ function, compatible with ADC administration, as per drug-specific recommendations;
9. Women of childbearing potential and male patient must agree to use adequate contraception for the duration of trial participation and up to 7 months after completing treatment for women and up to 4 months for men;
10. Patients must be affiliated to a social security system (or equivalent);
11. Patients must be willing and able to comply with the protocol for the duration of the trial;
12. Patients must consent to the use of their collected tumor specimen, as well as, blood samples as detailed in the protocol for future scientific research, which includes but is not limited to DNA, RNA, and protein-based biomarker analysis.

Exclusion Criteria

1. Patients treated with an antibody drug conjugate in a curative setting;
2. Patients who did not consent to sample use;
3. Presence of another progressive pathology with short-term life-threatening prognosis;
4. Patients undergoing concurrent treatment for a malignancy or hematologic disorder distinct from the indication for which the ADC is being administered.
5. Patients with inadequate washout period prior to Cycle 1 Day 1, defined as:

* Whole brain radiation therapy \<14 days or stereotactic brain radiation therapy \<7 days.
* Any cytotoxic chemotherapy, investigational agents or other anticancer drug(s) (including another ADC) from a previous cancer treatment regimen or clinical study (other than epidermal growth factor receptor tyrosine kinase inhibitor (EGFR TKI)), \<14 days or 5 half-lives, whichever is longer.
* Immune checkpoint inhibitor therapy \<21 days.
* Hormonal therapy \<21 days.
* Major surgery (excluding placement of vascular access) \<28 days.
* Radiotherapy treatment to more than 30% of the bone marrow or with a wide field of radiation \<28 days or palliative radiation therapy \<14 days.
6. 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;
7. Person deprived of their liberty or under protective custody or guardianship.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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UNICANCER

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Barbara Pistilli, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Gustave Roussy Cancer Center

Locations

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Gustave Roussy Cancer Center

Villejuif, , France

Site Status RECRUITING

Countries

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France

Central Contacts

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Marjorie Mauduit

Role: CONTACT

+33 6 30481792

Jérôme Lemonnier

Role: CONTACT

Facility Contacts

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Barbara PISTILLI, MD

Role: primary

+33 (0)1 42 11 61 62

Noemie CORCOS, PhD

Role: backup

+ 33 (0) 1 42 11 51 58

Other Identifiers

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UC-TRA-2507

Identifier Type: -

Identifier Source: org_study_id

ID RCB 2025-A01462-47

Identifier Type: OTHER

Identifier Source: secondary_id

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