RecruitingPhase 1Phase 2NCT05381038

Optimizing and Personalising Azacitidine Combination Therapy for Treating Solid Tumours QPOP and CURATE.AI

Optimizing and Personalising Azacitidine Combination Therapy for Treating Solid Tumours Using the Quadratic Phenotypic Optimization Platform (QPOP) and an Artificial Intelligence-based Platform (CURATE.AI)


Sponsor

National University Hospital, Singapore

Enrollment

10 participants

Start Date

Feb 13, 2023

Study Type

INTERVENTIONAL

Conditions

Summary

This pilot feasibility study aims to set the foundation to investigate the applicability of QPOP drug selection followed by CURATE.AI-guided dose optimisation of the selected azacitidine combination therapy for solid tumours using CURATE.AI within the current clinical setting. QPOP will identify drug interactions towards optimal efficacy and cytotoxicity from the pre-specified drug pool based on ex vivo experimental data from the individual participant's tissue sample model. With these drug interactions, QPOP will identify the optimal drugs for the specific participant whose biopsy provided the cells for the ex vivo experimentation. Subsequently, CURATE.AI will be used to guide dosing for the selected combination therapy for that participant. Individualised CURATE.AI profiles will be generated based on each participant's response to a set of drug doses. Subsequently, the personalised CURATE.AI profile will be used to recommend the efficacy-driven dose. CURATE.AI will operate only within the safety range for each drug pre-specified for each participant. This pilot feasibility study will inform the investigators on the logistical and scientific feasibility of performing a large-scale randomised controlled trial (RCT) with the selected azacitidine combination therapy regimens and response markers. A secondary objective is to collect toxicity and efficacy data using established and exploratory response markers within and in-between cycles as exploratory outcomes.


Eligibility

Min Age: 21 YearsMax Age: 99 Years

Plain Language Summary

Simplified for easier understanding

This study is using an AI-based tool to personalize and optimize chemotherapy combinations including azacitidine (a drug that reactivates cancer-suppressing genes) for patients with breast or gastric (stomach) cancer who need palliative treatment. **You may be eligible if...** - You are 21 or older with breast or gastric (stomach) cancer - Your doctor has recommended palliative chemotherapy with docetaxel, paclitaxel, or irinotecan - You have already participated in a drug sensitivity screening study (called QPOP or NGAIN) - Your blood counts, liver function, and kidney function are within acceptable ranges **You may NOT be eligible if...** - You have not undergone the QPOP drug screening test - Your organ function (blood, liver, kidneys) is too impaired to safely receive chemotherapy - You are pregnant or breastfeeding Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEQPOP

QPOP is a mechanism-agnostic platform for optimizing drug selection. QPOP uses a quadratic equation to describe the patient-specific drug-drug interaction space based solely on experimentally derived drug-response data on individual patient's tissue sample, from which optimal drug combinations can be identified. Drug selection via QPOP allows for identification of an optimal combination therapy without the need for exhaustive testing of every combination. The first stage of the trial aims to generate a personalised QPOP drugs list for each participant based on experimentally derived data from ex vivo testing in the participant's tissue sample. Optimal drugs from a pre-specified drug pool will be recommended by the QPOP team.

DEVICECURATE.AI

CURATE.AI - a small data, AI-derived technology platform based on this discovery - allows personalised guidance of an individual's dose modulations based only on that individual's data. Additionally, CURATE.AI is mechanism-independent, and dynamically adapts to changes experienced by the participant, providing dynamic dose optimisation throughout the duration of the participant's treatment. The second stage of the trial aims to obtain a personalised CURATE.AI profile for each participant, based on their phenotypic response to a set of drug doses from the drug combinations with azacitidine identified and recommended by the QPOP team. The doses will be recommended by the CURATE.AI team, when relevant to the clinical decision-making process. Once an actionable profile is obtained, dose recommendations are based on the profile and aimed to treat the participant. The maximum period of involvement with this study when azacitidine may be adjusted by CURATE.AI is 18 months.

DRUGAzacitidine + docetaxel

Azacitidine subcutaneous injection Day 1, 2 and Day 8, 9 + 30 mg/m2 docetaxel intravenously Day 1 and 8 Each chemotherapy cycle will be 21 days.

DRUGAzacitidine + paclitaxel

Azacitidine subcutaneous injection Day 1, 2 and Day 8, 9 + 80 mg/m2 paclitaxel intravenously Day 1 and 8 Each chemotherapy cycle will be 21 days.

DRUGAzacitidine + irinotecan

Azacitidine intravenously subcutaneous injection Day 1, 2 and Day 8, 9 + 100 mg/m2 irinotecan intravenously Day 1 and 8. Each chemotherapy cycle will be 21 days.


Locations(1)

National University Hospital

Singapore, Singapore

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NCT05381038


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