Abstract 1225P
Background
Tissue-based genomic profiling (TBGP) is the gold standard to detect targetable pathogenic variants (PV) in advanced cancer patients (ACP). Circulating tumor (ct) DNA analysis could overcome the limitation of temporal and spatial heterogeneity. Nevertheless, some targetable PV detected in TBGP could be missed by ctDNA. Also, a few studies addressed the real-world evidence (RWE) of using ctDNA in non-western ACP. We aimed to evaluate the role of comprehensive genomic profiling (CGP) combining ctDNA and TBGP in international ACP treated at Gustave Roussy cancer campus.
Methods
This is a prospective study initiated on 01/10/2021. Peripheral blood was sent to Foundation One Liquid CDx for ctDNA analysis. TBGP was performed on DNA extracted from FFPE tissue using a specific panel for each tumor type. We used the oncokb online database to assess the level of actionability of PV.
Results
56 pts had paired analysis with 31 females, and a mean age of 59 years. The 4 most common primaries were colorectal cancer (14 pts), non-small cell lung cancer (8 pts), soft tissue sarcoma (8 pts) and breast cancer (7 pts). Success rates were 73.2% and 98.2% for TBGP and ctDNA respectively. Among the 14 pts with ctDNA success/TBGP failure, 1 had R1 (level 1 evidence for resistance), 3 L1 (level 1 evidence of actionability), 3 L4 and 45 nonactionable PV. Among the 41 pts with double success, 6 R1 and 5 L1 were detected by both techniques. Five R1 and 2 L1 were detected only in ctDNA, while 2 L1 were detected only by TBGP. Most PV detected only in ctDNA had no level of evidence (110/137).
Conclusions
Combining ctDNA and TBGP seems better than using only one technique. It should be noted that the high level of failure in FFPE-TBGP point out to the need of fresh tissue biopsies. More studies comparing the targetable PV in ACP from different countries are needed.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1251P - Development of a deep learning algorithm for lung cancer diagnosis using methylation and fragment size profiles of cfDNA
Presenter: Jiyoung Huh
Session: Poster session 14
1252P - Quantitative cell signaling activity profiling of solid tumors to support personalized treatment in the FINPROVE basket trial: Presentation of skin tumor data
Presenter: Diederick Keizer
Session: Poster session 14
1253P - Analytic validation and implementation of OncoDEEP: A pan-cancer comprehensive genomic profiling NGS assay for assessing homologous recombination deficiency (HRD)
Presenter: Marcel Trautmann
Session: Poster session 14
1254P - Retrospective analysis of brain OMX: Diagnostic tool for structural (T1) and functional connectome (RS-FMRI) analysis of brain
Presenter: Swarnambiga Ayyachamy
Session: Poster session 14
1255P - Evaluating GPT-4 as an academic support tool for clinicians: A comparative analysis of case records from the literature
Presenter: Marcos Aurelio Fonseca Magalhaes Filho
Session: Poster session 14
1256P - Value of detection of peripheral blood circRNA based on digital PCR in the diagnosis of lung adenocarcinoma
Presenter: Jihong Zhou
Session: Poster session 14
1257P - Double heterozygous prevalence in hereditary cancer syndromes in Northern Mexico population
Presenter: Carlos Burciaga Flores
Session: Poster session 14
1258P - Does FDG PET-based radiomics have an added value for prediction of overall survival in non-small cell lung cancer?
Presenter: Andrea Ciarmiello
Session: Poster session 14
1260TiP - Enhancing lung nodule discrimination with a novel cfDNA test: The cancer signature ensemble (CSE) approach
Presenter: Young-Chul Kim
Session: Poster session 14
1773P - ICECaP-2: Validation of metastasis-free survival (MFS) as a surrogate for overall survival (OS) in localized prostate cancer (LPC) in a more contemporary era
Presenter: Wanling Xie
Session: Poster session 14