Solid Tumor Clinical Trial
Official title:
Nivolumab and Pembrolizumab Dose Optimisation in Solid Tumours With CURATE.AI Platform and Sequential ctDNA Measurements
CURATE.AI - a small data, AI-derived technology platform - 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 subject, providing dynamic dose optimisation throughout the duration of the subject's treatment. This study aims to demonstrate the feasibility of applying CURATE.AI in standard of care settings for treatment of solid tumours with Nivolumab. An additional objective is to explore sequential ctDNA measurements as a response marker collected at a higher frequency of probing, with modulated doses.
| Status | Recruiting |
| Enrollment | 10 |
| Est. completion date | August 1, 2023 |
| Est. primary completion date | May 31, 2023 |
| Accepts healthy volunteers | No |
| Gender | All |
| Age group | 21 Years to 99 Years |
| Eligibility | Inclusion Criteria: 1. Males and females = 21 years of age 2. Eastern Cooperative Oncology Group (ECOG) Performance Status of 0 to 2. 3. Patients must meet the following clinical laboratory criteria within 21 days of starting treatment: 1. Absolute neutrophil count (ANC) = 1,000/mm3 and platelet = 50,000/mm3 2. Total bilirubin = 1.5 x the upper limit of the normal range (ULN). Alanine aminotransferase (ALT) and aspartate aminotransferase (AST) = 3 x ULN of = 5 ULN if involvement of the liver. 3. Calculated creatinine clearance = 30 mL/min or creatinine < 1.5 x ULN. 4. Main tumour types: Non-small cell lung cancer (NSCLC), gastric cancer (GC), hepatocellular carcinoma (HCC) and nasopharyngeal carcinoma (NPC) or other metastatic solid tumours not for curative intent therapy; 5. Treatment with combinational immunotherapy or single-agent nivolumab/pembrolizumab. If patients have already started treatment on this regimen, they may still be eligible to enrol, provided they fulfil all other criteria and approval is sought by PI and Sponsor. 6. Eligible for treatment combinational immunotherapy or single-agent nivolumab /pembrolizumab based on co-investigator's assessment of fitness for immunotherapy (e.g. not on high dose corticosteroid therapy or uncontrolled auto-immune disorder) Exclusion Criteria: 1. Patients who are lactating or pregnant. 2. Patients with clinically significant hypersensitivity to one or more of the selected regimen's constituent drug(s) 3. Contraindication to any of the required concomitant drugs or supportive treatments. 4. Any clinically significant medical disease or psychiatric condition that, in the co-investigator's opinion, may interfere with protocol adherence or a subject's ability to give informed consent. 5. Major surgery within 28 days prior to start of the treatment, 6. Active congestive heart failure (New York Heart Association [NYHA] Class III or IV), symptomatic ischaemia, or conduction abnormalities uncontrolled by conventional intervention. Myocardial infarction within 4 months prior to informed consent obtained. |
| Country | Name | City | State |
|---|---|---|---|
| Singapore | National University Hospital | Singapore |
| Lead Sponsor | Collaborator |
|---|---|
| National University Hospital, Singapore | Natera, Inc., The N.1 Institute for Health (N.1) |
Singapore,
Evan TH, Jenny Z, Eun-Jeong K, Grace H, Shailender B, Sunil AR. Economic analysis of alternative pembrolizumab and nivolumab dosing strategies at an academic cancer centre. JCO 2019; 37(15): 6504-6504. doi: 10.1200/JCO.2019.37.15_suppl.6504
Kazandjian D, Suzman DL, Blumenthal G, Mushti S, He K, Libeg M, Keegan P, Pazdur R. FDA Approval Summary: Nivolumab for the Treatment of Metastatic Non-Small Cell Lung Cancer With Progression On or After Platinum-Based Chemotherapy. Oncologist. 2016 May;2 — View Citation
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Low JL, Huang Y, Sooi K, Ang Y, Chan ZY, Spencer K, Jeyasekharan AD, Sundar R, Goh BC, Soo R, Yong WP. Low-dose pembrolizumab in the treatment of advanced non-small cell lung cancer. Int J Cancer. 2021 Jul 1;149(1):169-176. doi: 10.1002/ijc.33534. Epub 20 — View Citation
Yoo SH, Keam B, Kim M, Kim SH, Kim YJ, Kim TM, Kim DW, Lee JS, Heo DS. Low-dose nivolumab can be effective in non-small cell lung cancer: alternative option for financial toxicity. ESMO Open. 2018 Jul 25;3(5):e000332. doi: 10.1136/esmoopen-2018-000332. eC — View Citation
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Other | Percentage of trial participants with clinical progressive disease | CT scans for radiological assessment will be performed according to standard of care, usually after every 2 to 3 cycles of chemotherapy Percentage of trial participants with clinical progressive disease(which is defined as the clinical investigator deeming that the patient will not benefit any further from the chemotherapy regimen and considering stopping it) at the time of the first radiological assessment performed as per standard-of-care. | Up to 12 months | |
| Other | Temporal variation in response marker (ctDNA) level from baseline to trial conclusion. | Mandatory blood draws for the measurement of response marker(s)as per standard of care. Additional blood draws solely for the purposes of the trial for measurements of response markers(s) Tumour marker measurements at higher frequency will be analysed to inform about temporal dynamics of tumour response to modulated dosing. | Up to 12 months | |
| Other | Maximal reduction in response marker (ctDNA) level measured as part of baseline investigations | For CURATE.AI profile generation, a minimum of 3 dose levels and corresponding response marker readouts are needed for the modulated drug. After obtaining the first response marker readout a set of potential doses to pick from will be recommended by the CURATE.AI team with calibration-intent, based on the mathematical requirements of the method. | Up to 12 months | |
| Other | Toxicity derived from the use of CURATE.AI | Percentage of trial participants with clinically relevant toxicities of grades 3-4 based on CTCAE version 4.0. | Up to 12 months | |
| Other | ctDNA analysis | Data collection and explorative analysis of ctDNA as:
As response marker in serial measurements at given clinical context and after modulated dosing in comparison to radiology (via criteria such as RECIST/immune related RECIST (irRECIST) for monitoring treatment response dynamics in the immuno-oncology; As a potential input for CURATE.AI |
Up to 12 months | |
| Primary | Percentage of participants in whom we successfully apply CURATE.AI profile. | CURATE.AI applicability: Percentage of participants in whom we successfully apply CURATE.AI profile. Based on percentages, outcomes will be classified as Green (>70%) / Yellow (10-70%) / Red (<10%).
A decision on whether we "successfully apply" the CURATE.AI profile requires expert judgement and cannot be made based on a purely numerical process. The expert panel will consider the following factors with careful regard for the individual circumstances of each participant: Error/variance (biological/analytical) is sufficiently small to allow accurate predictions Profile can be generated sufficiently early for the participant to potentially benefit; Dose-dependent relationship is observed; Profile is actionable (i.e. fulfils the clinical investigator's pre-specified safety requirements); Systemic changes in the participant which require profile recalibration are rare or readily assimilated into the CURATE.AI algorithm |
up to 12 months | |
| Secondary | Patient adherence | Percentage of participants who always adhered to the prescribed dose whenever they took their medication, as measured by the standardised pharmacovigilance protocol. Based on percentages, outcomes will be classified as Green (>90%) / Yellow (10-90%) / Red (<10%). | Up to 12 months | |
| Secondary | Timely delivery of CURATE.AI recommendations to the clinician | Percentage of CURATE.AI recommendations provided in time for the next chemotherapy cycle, across all participants and cycles. Based on percentages, outcomes will be classified as Green (100%) / Yellow (10-99%) / Red (<10%). | Up to 12 months | |
| Secondary | CURATE.AI relevance | Percentage of dosing events across all participants and cycles in which CURATE.AI recommendation is considered in the clinical decision-making process. Based on percentages, outcomes will be classified as Green (100%) / Yellow (10-99%) / Red (<10%). | Up to 12 months | |
| Secondary | Physician adherence | Percentage of CURATE.AI recommended doses that were used by the clinical investigator. Based on percentages, outcomes will be classified as Green (>70%) / Yellow (10-70%) / Red (<10%). | Up to 12 months | |
| Secondary | Clinically significant dose changes | Percentage of participants in whom the CURATE.AI-guided cumulative dose is substantially (=10%) different from the projected standard-of-care cumulative dose. Based on percentages, outcomes will be classified as Green (>20%) / Yellow (1-20%) / Red (0%). | Up to 12 months |
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