Abstract 229TiP
Background
Precision oncology in the form of one actionable mutation targeted with a specific drug/drug combination benefits a minority of pts. This results in the majority having clinical grade next generation sequencing (cNGS) results that do not impact on treatment (tx) decisions. Polygenic analysis of such cNGS data to predict efficacious tx, via drug response prediction tools (DRPs), represents a potential solution. Several DRPs utilising artificial intelligence show early promise however the majority use gene expression or whole exome sequencing input data that is not available in the clinic. An exception is DruID (Drug IDentifier), a DRP trained using cell-line and pt data that is designed to perform with limited input data from cNGS panels, utilising domain-invariant representation learning and multi-task learning. Reported aberrations are analysed by DruID giving an output of anti-cancer agents ranked by a predicted efficacy score. In this single-centre phase II trial we aim to assess the efficacy of DruID recommended tx (DruID-Tx) in pts with refectory malignancies.
Trial design
Eligible pts have a histologically confirmed solid organ malignancy with progressive disease (PD) after ≥2 lines of tx and ECOG PS 0-2. Pts cNGS results are input into DruID to generate recommendations. Agents on a pre-defined panel of generic locally approved (HSA, Singapore) anti-cancer tx, with a predicted efficacy in the 4th quartile of DruID scores generated from a reference dataset can be considered. Specific DruID-Tx options will be omitted if a subject has received them in the prior 3 lines, with remaining options subjected to panel discussion by investigators. Pts with an available DruID-Tx after this selection criteria will undergo single agent tx until PD or unacceptable toxicity. Trial primary end point is objective response rate (ORR) with the hypothesis that DruID-Tx will give an ORR ≥25%. Using a Simon 2-stage optimal design, (80% power, one-sided α of 0.1) 13 pts will be enrolled to Stage I with a further 21 pts recruited in Stage II if ≥2 pts achieve response in Stage I. Secondary endpoints include clinical benefit rate, progression free and overall survival. Recruitment for Stage I is ongoing with 5/13 pts enrolled.
Clinical trial identification
NCT05719428.
Editorial acknowledgement
Legal entity responsible for the study
NUHS.
Funding
NCIS-N2CR.
Disclosure
R.J. Walsh: Financial Interests, Personal, Advisory Board: Pfizer, Novartis; Financial Interests, Personal, Speaker, Consultant, Advisor: AstraZeneca; Non-Financial Interests, Institutional, Local PI: BMS, Merck; Financial Interests, Institutional, Speaker, Consultant, Advisor: Merck. R. Sundar: Financial Interests, Personal, Advisory Board, Advisory Board, Invited Speaker: Bristol Myers Squibb, MSD; Financial Interests, Personal, Advisory Board: Merck, Bayer, Novartis, GSK, Pierre-Fabre, Tavotek, AstraZeneca, Daiichi Sankyo, BeiGene; Financial Interests, Personal, Advisory Board, Advisory Board, Invited Speaker, Travel: Eisai; Financial Interests, Personal, Advisory Board, Advisory Board, Invited Speaker, Travel for conferences. Funding declared is over several years (<10,000 Euro per year): Taiho; Financial Interests, Personal, Invited Speaker: Eli Lilly, BMS, Roche, Taiho, AstraZeneca, DKSH, Daiichi Sankyo, BeiGene, Astellas; Financial Interests, Personal, Advisory Board, Travel for conference and Advisory Board, funding declared is over several years, S.C. Lee: Financial Interests, Personal, Advisory Board, Advisory board, speaker invitations: Pfizer, Novartis, AstraZeneca, Roche, MSD; Financial Interests, Personal, Advisory Board, Advisory Board: Eli Lilly; Financial Interests, Personal, Advisory Board: Gilead; Financial Interests, Institutional, Research Grant: Pfizer, ACT Genomics, Eisai, Taiho, MSD, Karyopharm, ASLAN Pharmaceuticals, Adagene; Financial Interests, Institutional, Local PI: Roche, Novartis, Daiichi Sankyo, BMS, AstraZeneca; Financial Interests, Personal, Steering Committee Member: AstraZeneca. B. Goh: Financial Interests, Institutional, Invited Speaker: MSD; Financial Interests, Institutional, Advisory Board: Bayer Healthcare; Financial Interests, Personal, Other, Consultancy: Adagene pharmaceutical; Financial Interests, Institutional, Research Grant, Support for investigator initiated trial: MSD; Financial Interests, Institutional, Other, Pharmaceutical support for clinical trial: BMS; Financial Interests, Institutional, Other, Pharmaceutical support for investigator initiated clinical trial: Taiho pharmaceuticals; Financial Interests, Institutional, Coordinating PI: Adagene, Bayer; Financial Interests, Institutional, Local PI: Pfizer; Financial Interests, Institutional, Local PI, Conducting clinical trial: alx; Financial Interests, Institutional, Local PI, Pharmaceutical phase 1 trial: Novartis; Non-Financial Interests, Institutional, Other, Lead clinical trial platform of the Singapore Translational Cancer Consortium: Consortium for Clinical Research and Innovation Singapore; Non-Financial Interests, Member: ASCO. D.S. Tan: Financial Interests, Personal, Invited Speaker: AstraZeneca, MSD, Merck Serono, Roche, Eisai, GSK, Takeda; Financial Interests, Personal, Advisory Board: AstraZeneca, Bayer, MSD, Eisai, Roche, Genmab, GSK, Boehringer Ingelheim; Financial Interests, Personal, Stocks/Shares: Asian Microbiome Library (AMiLi); Financial Interests, Institutional, Research Grant: Roche, Bayer, Karyopharm Therapeutics, AstraZeneca; Financial Interests, Institutional, Coordinating PI: AstraZeneca, Bergen Bio; Financial Interests, Institutional, Local PI: Zeria Pharmaceutical Co Ltd, Bayer, Byondis B.V.; Non-Financial Interests, Leadership Role, Ex society president: Gynecologic Cancer Group Singapore; Non-Financial Interests, Member of Board of Directors: Gynaecologic Cancer Intergroup (GCIG); Non-Financial Interests, Leadership Role, Ex- Chair: Asia-Pacific Gynecologic Oncology Trials Group (APGOT); Non-Financial Interests, Institutional, Product Samples, Research Study: MSD, Eisai, AstraZeneca, Cyclacel Pharmaceuticals. A.D. Jeyasekharan: Financial Interests, Personal, Speaker, Consultant, Advisor: DKSH, Roche, Gilead Sciences, Turbine, AstraZeneca, Janssen, MSD; Financial Interests, Personal, Funding: AstraZeneca, Janssen. All other authors have declared no conflicts of interest.
Resources from the same session
1182P - Determination of tumor PSMA expression in prostate cancer from blood using a novel epigenomic liquid biopsy platform
Presenter: Praful Ravi
Session: Poster session 09
1183P - Impact of multicancer early detection (MCED) test on participant-reported outcomes (PRO) and behavioral intentions by cancer risk
Presenter: Christina Dilaveri
Session: Poster session 09
1184P - Early real-world experience with positive multi-cancer early detection (MCED) test cases and negative initial diagnostic work-up
Presenter: Candace Westgate
Session: Poster session 09
1185P - Clinical applications of a novel blood-based fragmentomics assay for lung cancer detection
Presenter: Marc Siegel
Session: Poster session 09
1186P - SmartCS-LPLLM: Enhancing early cancer detection through ctDNA methylation analysis leveraging large language models
Presenter: Li Chao
Session: Poster session 09
1187P - Molecular diagnosis of lung cancer via ctDNA and ctRNA detection on bronchoscopic fluid specimens from 31 patients: A retrospective analysis
Presenter: Vincent Fallet
Session: Poster session 09
1188P - Modeled economic and clinical impact of a multi-cancer early detection (MCED) test in a population with hereditary cancer syndromes
Presenter: Sana Raoof
Session: Poster session 09
1189P - Cancer genome interpreter: A data-driven tool for tumor mutation interpretation
Presenter: Santiago Demajo
Session: Poster session 09
1190P - Circulating tumor DNA from the tumor-draining pulmonary vein as a biomarker in resected non-small cell lung cancer
Presenter: Raphael Werner
Session: Poster session 09
1191P - Efficient lung cancer stage prediction and outcome informatics with Bayesian deep learning and MCMC method
Presenter: Maria Gkotzamanidou
Session: Poster session 09