Abstract 143P
Background
Within the last decade, immunotherapy revolutionized cancer treatment and patients (pts) prognosis. MSI is a validated biomarker of response to immune checkpoint blockers (ICB). In daily practice, Immunohistochemistry (IHC) and polymerase chain reaction (PCR) are the most recommended techniques for MSI detection. Lately, next generation sequencing (NGS) performed on liquid biopsy emerged as a new tool for MSI detection and can be used as an alternative to IHC/PCR analysis on tissue. We aim to describe the characteristics of a cohort of pts with MSI solid tumors detected by liquid biopsy and to evaluate the concordance with IHC and NGS testing.
Methods
Data was collected from medical records and molecular profile reports (Foundation One Liquid CDx Assay – 324 genes) performed within the STING trial (NCT04932525) between June 2021 and April 2023.
Results
Among 4535 pts who underwent liquid biopsies, we found 1.5% (n=70 ) pts with a MSI positive status. The main characteristics were: 51% (n=36) were male with a median age of 68 years [32-89]. 24% of pts (n=17) had a known Lynch Syndrome. Most common tumor locations were colorectal (23%) and endometrial (16%). Median tumor fraction was 26% [10%-73%] and median tumor mutational burden (TMB) 113 mut/Mb [4-1450]. 40% (n=28) of pts had MSI positive tumor assessed by IHC and 55% (n=39) by NGS, with a concordance of 41%. A proportion of 58% (n=41) received ICB for advanced disease; pembrolizumab was the most frequent ICB administered and 66% (n=27) had received a median of 3 [1-8] prior lines of cytotoxic drugs. Median progression free survival (PFS) for concordant MSI status was 25 months (m) vs 9 m for non-concordant MSI (p=0.03), respectively.
Conclusions
MSI concordance on liquid biopsy with MSI on tumor were considerably lower than reported in the literature. However, PFS was better in pts with a concordant status than those with either MSI/IHC or MSI/NGS alone or in tissue.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
A. Hollebecque: Financial Interests, Personal, Invited Speaker: Servier, Incyte, Eisai; Financial Interests, Personal, Advisory Board: Basilea, Tahio, Relay Theraeutics, QED Therapeutics, Debiopharm, MSD, Boehringer Ingelheim; Financial Interests, Institutional, Funding: Incyte; Financial Interests, Institutional, Research Grant: AstraZeneca; Non-Financial Interests, Principal Investigator, M19-345: AbbVie; Non-Financial Interests, Principal Investigator, CO42216; WP42627; CO40939: Roche; Non-Financial Interests, Principal Investigator, MCLA-158: Merus; Non-Financial Interests, Principal Investigator, SGNB6A: Seatle Genetics; Non-Financial Interests, Principal Investigator, TAS-120-202: Tahio; Non-Financial Interests, Principal Investigator, Krystal-10: Mirati; Non-Financial Interests, Principal Investigator, ADP-0033: Adaptimmune; Non-Financial Interests, Principal Investigator, ACT16902: Sanofi; Non-Financial Interests, Principal Investigator, C4201002: Pfizer; Non-Financial Interests, Principal Investigator, RLY-4008: Relay Therapeutics; Non-Financial Interests, Principal Investigator, CC-90011: Celgene/BMS; Non-Financial Interests, Principal Investigator, Loxo-IDH: Loxo/Lilly; Non-Financial Interests, Principal Investigator: AstraZeneca; Non-Financial Interests, Principal Investigator, SN-201 study: Sotio; Non-Financial Interests, Principal Investigator, Tropics-03: Gilead; Non-Financial Interests, Principal Investigator, BI1403: Boehringer Ingelheim. A. Italiano: Financial Interests, Personal, Advisory Board: Bayer, Roche, Philips, Chugai, GSK; Financial Interests, Institutional, Coordinating PI: Bayer, AstraZeneca, Roche, MSD, Ipsen, Merck. All other authors have declared no conflicts of interest.
Resources from the same session
176P - Enhancing immunotherapy response prediction via multimodal integration of radiology and pathology deep learning models
Presenter: Marta Ligero
Session: Poster session 01
177P - Revealing differences in radiosensitivity of advanced non-small cell lung cancer (NSCLC)through single-cell sequencing data
Presenter: Peimeng You
Session: Poster session 01
178P - Explainable radiomics, machine and deep learning models to predict immune-checkpoint inhibitor treatment efficacy in advanced non-small cell lung cancer patients
Presenter: Leonardo Provenzano
Session: Poster session 01
179P - Molecular tumor board directed treatment for patients with advanced stage solid tumors: A case-control study
Presenter: Dhruv Bansal
Session: Poster session 01
180P - An HLA-diet-oriented system unveiling organ-specific occurrence of multiple primary cancers (MPC) with prevention strategy: A large cohort study of 47,550 cancer patients
Presenter: Zixuan Rong
Session: Poster session 01
181P - GeNeo: Agnostic comprehensive genomic profiling versus limited panel organ-directed next-generation sequencing within the Belgian PRECISION initiative
Presenter: Philippe Aftimos
Session: Poster session 01
182P - ALK fusion detection by RNA next-generation sequencing (NGS) compared to DNA in a large, real-world non-small cell lung cancer (NSCLC) dataset
Presenter: Wade Iams
Session: Poster session 01
183P - Frequency of actionable fusions in 7,735 patients with solid tumors
Presenter: Kevin McDonnell
Session: Poster session 01
184P - Patient-specific HLA-I genotypes predict response to immune checkpoint blockade
Presenter: Kyrillus Shohdy
Session: Poster session 01
185P - Real-world data analysis of genomic profiling-matched targeted therapy outcomes in patients with fusion-positive NSCLC
Presenter: Jyoti Patel
Session: Poster session 01