Abstract 106P
Background
REM trial is an ongoing translational, prospective multicentre study exploring the role of plasma and tissue genotyping in EGFR-mutated advanced (a) NSCLC patients (pts) during treatment with Osi according to clinical practice. We present preliminary results concerning molecular characterization in plasma focusing on pts experiencing early progression on first-line Osi.
Methods
Pts with EGFR-mutated aNSCLC are prospectively enrolled. Liquid biopsy is performed at the time of Osi start (T0), after 10 (T1) and 28 days (T2), and upon radiological or clinical progression (PD) (T3). Plasmatic EGFR mutations are tested at each timepoint using real-time polymerase chain reaction (RT-PCR). Clearance at specific timepoints is defined as the absence of detectable plasmatic EGFR mutant cfDNA. Next-generation sequencing (NGS) with 77-gene panel is performed at T0 and T3. EPD was defined as PD within 9 months (m) since the start of Osi.
Results
We present preliminary analyses on the first 74 enrolled pts. After a median follow-up of 7.4 m (95%CI 9.0-13.0), objective response rate was 66% (95%CI 53%-77%) and 13 pts (17%) experienced EPD. No clinical feature was associated with the risk of EPD. Clearance of cfDNA was observed at T1 in 37 pts (56%) and at T2 in 48 pts (77%). Lack of clearance at T1 and T2 was associated with higher probability of experiencing EPD (p=0.04, p=0.02), while baseline EGFR positivity in plasma was not. Results of T0 NGS was available for 49 pts (64%). The most prevalent co-mutations (mut) identified were TP53 (N=19, 38%) and PIK3CA (N=7, 14%) mut. Baseline TP53 co-mut significantly increased the risk for EPD (p=0.002). Pts with a basal p53 co-mut experienced significantly worse progression-free survival (HR 3.82, 95%CI 1.27-11.4, p=0.017) and overall survival (HR 8.69, 95%CI 2.06-36.7, p=0.031).
Conclusions
Our preliminary data confirm feasibility of longitudinal characterization in plasma in clinical practice. Clearance of EGFR mut after 10 days since Osi start and TP53 co-mut were able to identify pts at risk for EPD. Data warrant validation for use in clinical practice decision making.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Università degli Studi di Padova.
Funding
AstraZeneca.
Disclosure
L. Bonanno: Financial Interests, Institutional, Advisory Board: AstraZeneca, MSD, BMS, Roche; Financial Interests, Institutional, Invited Speaker: AstraZeneca, MSD, BMS, Roche; Financial Interests, Personal, Advisory Board: Novartis; Financial Interests, Personal, Invited Speaker: Lilly; Financial Interests, Institutional, Steering Committee Member: AstraZeneca; Non-Financial Interests, Principal Investigator: Roche, AstraZeneca, Boehringer Ingelheim, MSD, BMS, Janssen, PharmaMar, Arcus Biosciences. L. Calvetti: Financial Interests, Personal, Invited Speaker: AstraZeneca, MSD, Roche. A. Pavan: Financial Interests, Personal, Invited Speaker: AstraZeneca, MSD, BMS. A. Dal Maso: Financial Interests, Personal, Invited Speaker: AstraZeneca, MSD. S. Frega: Financial Interests, Personal, Invited Speaker: MSD. G. Pasello: Financial Interests, Personal, Invited Speaker: Amgen, Eli Lilly, Novartis, MSD, Pfizer; Financial Interests, Personal, Advisory Board: AstraZeneca, Roche, Janssen; Financial Interests, Institutional, Research Grant: Roche; Financial Interests, Institutional, Other, unconditioned support: AstraZeneca, MSD; Non-Financial Interests, Principal Investigator: AstraZeneca, Roche, Novartis, Lilly, Janssen, PharmaMar. V. Guarneri: Financial Interests, Personal, Invited Speaker: Eli Lilly, Novartis, GSK, AstraZeneca, Gilead, Exact Sciences; Financial Interests, Personal, Advisory Board: Eli Lilly, Novartis, MSD, Gilead, Eli Lilly, Merck serono, Exact Sciences, Eisai, Olema Oncology, AstraZeneca, Daiichi Sankyo, Pfizer; Financial Interests, Institutional, Local PI: Eli Lilly, Roche, BMS, Novartis, AstraZeneca, MSD, Synton Biopharmaceuticals, Merck, GSK, Daiichi Sankyo, Nerviano, Pfizer; Non-Financial Interests, Member: ASCO. 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