Abstract 137P
Background
Establishing reliable and early predictive biomarkers of response of ICI is essential. Analysis of cfDNA fragmentation profiles (fragmentome) is a promising non-invasive method to do so independently of a specific molecular target, cancer type or treatment. We monitored plasmatic cfDNA concentration and size characteristics of the fragmentome in advanced lung, head and neck, kidney and bladder cancer patients, treated with ICI (n = 111). The aim was to predict EP (defined as progression at the first imaging evaluation) and PFS.
Methods
Our novel patented technology made possible to measure accurately cfDNA concentration and size profile directly from tens of microlitres of plasma and without prior DNA extraction (BIABooster system). Statistical association and predictive performances of response from fragmentome-derived metrics (e.g., concentration, size distribution peaks or fragments size ranges) were conducted. The data was split between a training (n=78) and a test (n=33) set. Optimal thresholds were determined through receiver-operator characteristics (ROC) curve analysis, and confidence intervals determined using bootstrap resampling. Classification metrics were assessed in both the training and testing set. The entire process was bootstrapped 100 times to assess the robustness.
Results
Quantity of long fragments over 1650 bp (LF) showed the best discriminatory power (AUC = 0.77 (0.65-0.87)) of EP. LF were significantly, strongly and positively associated with non-EP (odd ratio =0.27 (0.14-0.52), p <0.001) and longer PFS (p<0.001, hazard ration 0.406 (0.274 - 0.599)). The predictive performances of EP were also very high: AUC 0.75 (0.65-0.84), accuracy 71% (95% CI: 63% - 80%), positive predictive value was 0.61 (0.47-0.78), on the test set.
Conclusions
These findings highlight a very significant association of cfDNA high-molecular-weight fragments with EP and PFS that outperform the predictive value of the only routinely used marker PDL1.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
AP-HM.
Funding
Adelis France.
Disclosure
F. Ginot: Financial Interests, Personal, Full or part-time Employment, salary: Adelis; Financial Interests, Personal, Ownership Interest, I have equity within the company: ADELIS. A. Boutonnet: Financial Interests, Personal, Full or part-time Employment: Adelis. F. Fina: Financial Interests, Personal, Officer: ID Solutions Oncology, ID Solutions; Financial Interests, Personal, Ownership Interest: Adelis Technologies. All other authors have declared no conflicts of interest.
Resources from the same session
183P - Development of a cadherin-17 (CDH17) immunohistochemistry assay for use as a companion diagnostic for cabotamig in gastrointestinal cancers
Presenter: Dennis Wong
Session: Poster session 08
184P - From breast and gastric to beyond: Expanding HER2 detection in solid tumors using quantitative RNA and protein analysis
Presenter: Kristian Egebjerg
Session: Poster session 08
185P - Multi-omics profiling and clinical characterization of colon-like cancer of unknown primary (CUP)
Presenter: Maria Pouyiourou
Session: Poster session 08
186P - Differences in antigen and immune marker expression in lymphoepithelioma-like carcinoma (LELC) and nasopharyngeal carcinoma (NPC): A multiplex immunohistochemistry (mIHC), spatial transcriptomic and multiplex immunofluorescence (mIF)-based analysis
Presenter: Daniel Peh
Session: Poster session 08
187P - Organoid growth-based oncological sensitivity test (OncoSensi) for predicting radiation therapy outcomes in pharyngeal and esophageal cancer
Presenter: Dong Woo Lee
Session: Poster session 08
188P - Integration of immunohistochemistry and transcriptomics reveals new insights into the immune landscape of soft-tissue sarcomas
Presenter: Giulia Petroni
Session: Poster session 08
189P - An image-based deep learning prediction model for characterization of the drug tolerant persister cell state
Presenter: Lauren Cech
Session: Poster session 08
190P - A large scale proteogenomics atlas for precision oncology research
Presenter: Timothy Anthony Yap
Session: Poster session 08
191P - Understanding and overcoming resistance to selective FGFR inhibitors across FGFR2-driven tumors
Presenter: Francesco Facchinetti
Session: Poster session 08
192P - Use of biosimulation to predict homologous recombination deficiency and PARPi benefit in patients with ovarian, pancreatic, prostate and triple negative breast cancers
Presenter: Daniel Palmer
Session: Poster session 08