Genetic profiling across multiple cancer types using molecular prescreening comprehensive gene panels offered by clinical trials (CT).
Authors: Victoria Iván , Moreno Fernandez Debora , Angelats Laura , Indacochea Alberto , Pelegrín Francisco , Sole i Bentz Pol , Gaba Lydia , Mellado Begona , Pineda Estela , Sauri Tamara , Esposito Francis , Ferrer-Mileo Laura , Oliveres Helena , Muñoz Montserrat , Vidal Maria , Martinez Saez Olga , Basté Rotllán Neus , Vinolas Nuria , Nogue Miquel , Garcia-Corbacho Javier 
Published: June 2021

3060 Background: Genetic profiling (GP) is essential not only for understanding tumor biology but also helps to identify potential genes for targeted therapies. At the same time, selected CT provide an individual genomic profile panel during the pre-screening phase. Here, we demonstrate our experience using these panels. Methods: We selected 14 CT from our Early Drug Development Clinical Trial Unit at Hospital Clinic of Barcelona that included analysis of gene panels in tumor (Foundation One, ArcherDX, Therascreen and Sophia Genetics) or plasma (Resolution Bioscience ctDx). These panels analyzed mutations, fusions, amplifications, microsatellite instability (MSI) and tumor mutational burden (TMB), among others. We collected information about types of cancers, molecular alterations and therapies chosen according to the results of GP. The platform OncoKB (Chakravarty JCO PO, 2017) was used to define genes with potential target therapies and levels of evidence (LE) for those targets (from LE 1 –FDA-recognized biomarker predictive of response to an FDA-approved drug- to LE 4 –Compelling biological evidence supports the biomarker as being predictive of response to a drug). Descriptive statistics were used. Results: From March 2017 to January 2021 we analyzed samples from 410 patients (pts) with CNS (19.3%), urothelial (18.3%), prostate (17.6%), breast (15.4%), ovarian (9.3%), esophageal and gastric (5.4%), colorectal (4.4%), pancreas (2.7%), endometrial (2.4%), cholangiocarcinoma (1.2%), cervix (1%), HNSCC (1%), renal (1%), lung (0.5%), liver (0.2%) fallopian tube (0.2%) and paraganglioma (0.2%). 352 pts (85.8%) had at least 1 genetic alteration. The most frequently altered genes were TP53 (153 pts, 46.2%), INSR (19 pts, 22.8%), TERT (76 pts, 22%), CDKN2A (65 pts, 19.9%), FAM175A (11 pts, 19.3%), CDKN2B (54 pts, 18.1%), MLL2 (53 pts, 17.7%), PTEN (52 pts, 16%), MTAP (45 pts, 15.7%), PIK3CA (52 pts, 15%) and ATM (55 pts, 14.4%). TMB ranged from 0 to 76.9 mut/Mb (median 2.5 mut/Mb). MSI was found in 3 pts (1.5%). 196 pts (47.1%) had an OncoKB LE 1 alteration, 105 pts (25.6%) if we restrict the options to their specific cancer type. 16 pts (3.9%) received a matched therapy: 6 pts received an off-label drug, 6 pts were included in the same CT for which the pre-screening was performed and 4 pts were included in a different CT. Additionally, 13 pts (3.2%) received a matched therapy either with OncoKB LE 4 (5 pts received an off-label drug and 3 were included in a different CT) or not included in OncoKB (8 pts included in the same CT of the pre-screening). As a whole, 29 pts (7.1%) received a matched drug according to their genomic results. Conclusions: Comprehensive gene panel testing offered through CT allows the identification of targets to enroll pts, although the recruitment was 1.5%. However, 7.1% of the pts received a matched therapy due to the molecular information of these gene panels.