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E-Poster Display

548P - Molecular pre-screening using comprehensive gene panels offered by clinical trials (CT)

Date

17 Sep 2020

Session

E-Poster Display

Topics

Clinical Research

Tumour Site

Presenters

Ivan Victoria Ruiz

Citation

Annals of Oncology (2020) 31 (suppl_4): S462-S504. 10.1016/annonc/annonc271

Authors

I. Victoria Ruiz, D. Moreno, P. Sole, B. Mellado Gonzalez, E. Pineda, L. Gaba, T. Sauri, L. Ferrer Mileo, M. Orrillo, J. Maurel, H. Oliveres, M. Munoz-Mateu, M.J. Vidal Losada, O. Martinez Saez, N. Chic, N. Baste, N. Vinolas Segarra, R. Reyes, A. Prat, J. Garcia-Corbacho

Author affiliations

  • Dept. Medical Oncology, Hospital Clinic i Provincial de Barcelona, 08036 - Barcelona/ES

Resources

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Abstract 548P

Background

Genetic profiling (GP) might help identify potential targets for targeted therapies. At the same time, selected CT offer comprehensive gene panel testing during the pre-screening phase. Here, we have studied 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. Descriptive statistics were used.

Results

From March 2017 to April 2020 we analyzed 286 samples from 257 patients (pts) with urothelial (26.8%), prostate (25.3%), CNS (18.3%), ovarian (8.6%), colorectal (5.1%), breast (4.7%), endometrial (2.7%), esophagogastric (2.7%), pancreatic (1.9%), cervix (1.2%), HNSCC (0.8%), cholangiocarcinoma (0.8%), renal (0.4%), fallopian tube (0.4%) and paraganglioma (0.4%). 205 pts (79.8%) had ≥ 1 genetic alteration. The most frequently altered genes were TP53 (92 pts, 55.1%), TERT (52 pts, 28.9%), MLL3 (4 pts, 28.3%), SPTA1 (3 pts, 21.4%), CDKN2A (34 pts, 21.1%), PTEN (33 pts, 20.5%), CDKN2B (27 pts, 20.1%), ATM (40 pts, 19.6%) and MLL2 (26 pts, 19.5%). TMB ranged from 0 to 12.61 mut/Mb. MSI was found in 2 pts (2.5%). 23 pts (9%) received a matched therapy (Table): 12 pts (52.1%) were included in the same CT for which the pre-screening was performed, 7 pts (30.4%) were included in a different CT, and 4 pts (17.3%) received an off-label matched drug. Table: 548P

Cancer type Molecular alteration Treatment administered
Urothelial FGFR3 Erdafitinib
FGFR3 Erdafitinib + Cetrelimab
FGFR3 Pemigatinib
ERBB2 and FGFR3 Afatinib → B-701
FGFR3 Vofatamab
ERBB2 Afatinib
FGFR3 B-701
Prostate ATM Niraparib
BRCA2 Olaparib
BRCA2 Rucaparib
BRCA2 Niraparib
CNS EGFR Depatuximab
EGFR Depatuximab
EGFR AMG 596
Colorectal RAD51D Olaparib + Pembrolizumab
ATM Olaparib + Pembrolizumab
CHEK2 Olaparib + Pembrolizumab
Ovarian BRCA1 Rucaparib
BRCA1 Rucaparib
BRCA1 Olaparib
Endometrial MSI-H Pembrolizumab
Pancreatic ATM and MSI Olaparib + Pembrolizumab
Paraganglioma NTRK1 Entrectinib → LOXO195

Conclusions

Comprehensive gene panel testing offered through CT allow the identification of molecular targets and the possibility to recruit. However, the possibility for a patient to enter a CT with a matched therapy was <10%.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

B. Mellado Gonzalez: Honoraria (self), Research grant/Funding (self): Astellas; Honoraria (self), Research grant/Funding (self), Non-remunerated activity/ies: Jansen; Honoraria (self), Research grant/Funding (self), Non-remunerated activity/ies: Sanofi; Honoraria (self), Research grant/Funding (self), Non-remunerated activity/ies: Roche; Non-remunerated activity/ies: BMS; Honoraria (self), Non-remunerated activity/ies: Merck; Honoraria (self), Non-remunerated activity/ies: Pfizer; Research grant/Funding (self): Bayer. E. Pineda: Speaker Bureau/Expert testimony: Sanofi; Advisory/Consultancy: Amgen. L. Gaba: Advisory/Consultancy, Speaker Bureau/Expert testimony: AstraZenca; Advisory/Consultancy, Speaker Bureau/Expert testimony: MSD; Advisory/Consultancy, Speaker Bureau/Expert testimony: Tesaro; Advisory/Consultancy, Speaker Bureau/Expert testimony: GSK. L. Ferrer Mileo: Honoraria (self): Pfizer; Honoraria (self): Kyowa Kirin. J. Maurel: Advisory/Consultancy: Sirtex; Advisory/Consultancy: Servier; Advisory/Consultancy: Pierre-Fabre; Advisory/Consultancy: Advance Medical; Advisory/Consultancy: Shire; Advisory/Consultancy: AstraZenca; Advisory/Consultancy: Bayer; Advisory/Consultancy: Sanofi; Advisory/Consultancy: Roche. O. Martinez Saez: Speaker Bureau/Expert testimony: Eisai. N. Chic: Speaker Bureau/Expert testimony: Eisai. N. Baste: Advisory/Consultancy: Merck; Advisory/Consultancy: BioNtech; Advisory/Consultancy: Nanobiotix; Advisory/Consultancy: BMS; Speaker Bureau/Expert testimony: MSD; Speaker Bureau/Expert testimony: AstraZenca; Speaker Bureau/Expert testimony: Eisai. N. Vinolas Segarra: Advisory/Consultancy: Roche; Advisory/Consultancy: Boeringher Ingelheim; Advisory/Consultancy: Pierre-Fabre; Advisory/Consultancy: BMS; Advisory/Consultancy: Pfizer; Advisory/Consultancy: MSD; Advisory/Consultancy: Lilly; Advisory/Consultancy: AstraZenca. A. Prat: Speaker Bureau/Expert testimony: Roche; Advisory/Consultancy, Speaker Bureau/Expert testimony: Pfizer; Advisory/Consultancy, Speaker Bureau/Expert testimony: Novartis; Advisory/Consultancy, Speaker Bureau/Expert testimony: Amgen; Speaker Bureau/Expert testimony: BMS; Speaker Bureau/Expert testimony: Daiichi Sankyo; Advisory/Consultancy: Puma; Advisory/Consultancy: Oncolytics Biotech; Advisory/Consultancy: MSD; Advisory/Consultancy: Lilly; Speaker Bureau/Expert testimony: Nanostring technologies. J. Garcia-Corbacho: Speaker Bureau/Expert testimony: Bayer; Advisory/Consultancy: SOLTI; Travel/Accommodation/Expenses, ASCO2020 conference registration: BMS. All other authors have declared no conflicts of interest.

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