Abstract 5587
Background
While increasing number of diagnostic laboratories perform new generation sequencing on tumor DNA at a rapidly decreasing cost, beyond companion diagnostics, multi-gene panels are still underutilized due to lack of reimbursement and value based technical assessment. Besides financial reasons, prioritizing between diagnostic tests, multiple genetic alterations and multiple on-label or off-label targeted treatment options linked to these alterations can be a major challenge without having a reproducible, standardized and effective information service system in hand that a molecular tumor board could safely rely on. Here, we present an easily clinically adaptable, dynamic treatment decision support program (Protocol), that makes tumor molecular profile-based oncology care feasible and potentially reimbursed by public insurance funds.
Methods
Our Protocol was developed based on 4868 cancer cases with 429 different histology, 2367 genes with 36492 variants. Our program utilizes multidisciplinary molecular tumor board (MTB) supported by Realtime Oncology Treatment CalculatorTM (Calculator) with the idea of integrating molecular and clinical data to provide genomics-driven treatment strategy plan. MTB mobilizes multiple sub-specialties for managing patients and tumor samples. The Calculator under constant upgrade is currently operating based on 24000 rules, 4000+ curated evidence, 101 registered and 618 targeted drugs under development.
Results
This medical procedure (protocol) was endorsed by the Hungarian National Health Insurance Fund based on QUALY gain calculation and value-based technology assessment.
Conclusions
It is crucial to have an established protocol in the community of practice to indicate effective and eliminate ineffective genomics-driven treatments based on molecular profiling. The technology assessment provided evidence that standardized decision support of the molecular tumor board (MTB) to select diagnostic tests and treatments can assure clinical utility and cost effectiveness of multigene testing (NGS).
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
I. Petak: Leadership role, ownership: Oncompass Medicine Hungary Ltd. C. Hegedus: Full / Part-time employment: Oncompass Medicine Hungary Ltd. E. Várkondi: Full / Part-time employment: Oncompass Medicine Hungary Ltd. Z. Farkas: Full / Part-time employment: Oncompass Medicine Hungary Ltd. D. Tihanyi: Full / Part-time employment: Oncompass Medicine Hungary Ltd. R. Dóczi: Full / Part-time employment: Oncompass Medicine Hungary Ltd. D. Mathiasz: Full / Part-time employment: Oncompass Medicine Hungary Ltd. G. Pajkos: Full / Part-time employment: Oncompass Medicine Hungary Ltd. R. Schwab: Advisory / Consultancy, ownership: Oncompass Medicine Hungary Ltd. J. Deri: Full / Part-time employment: Oncompass Medicine Hungary Ltd. All other authors have declared no conflicts of interest.
Resources from the same session
5678 - Nanomaterials Augmented LDI-TOF-MS for Hepatocellular Carcinoma Diagnosis and Classification
Presenter: Jian Zhou
Session: Poster Display session 3
Resources:
Abstract
2436 - Development and Validation of an RNA-Seq Assay for Gene Fusions Detection in Formalin-Fixed Paraffin-Embedded Samples
Presenter: Hua Dong
Session: Poster Display session 3
Resources:
Abstract
5271 - A Pilot Study to Implement an Artificial Intelligence (AI) System for Gastrointestinal Cancer Clinical Trial Matching
Presenter: Zhaohui Jin
Session: Poster Display session 3
Resources:
Abstract
4787 - A Blinded Comparison of Patient Treatments to Therapeutic Options Presented by an Artificial Intelligence-based Clinical Decision-support system
Presenter: Suthida Suwanvecho
Session: Poster Display session 3
Resources:
Abstract
5744 - OncOS: scalable and accurate next-generation sequencing analytics for precision oncology and personalized patient care
Presenter: Joe Thompson
Session: Poster Display session 3
Resources:
Abstract
3752 - The association between wearable device physical activity metrics and performance status in oncology: a systematic review
Presenter: Milan Kos
Session: Poster Display session 3
Resources:
Abstract
5820 - SomaticNET: neural network evaluation of somatic mutations in cancer
Presenter: Geoffroy Dubourg-Felonneau
Session: Poster Display session 3
Resources:
Abstract
4771 - Is there a role for Next-generation sequencing (NGS) profiling on metastatic non-colorectal gastrointestinal carcinomas (MNCGIC) in developing countries? A single center experience.
Presenter: Mauricio Ribeiro
Session: Poster Display session 3
Resources:
Abstract
1209 - Metastatic Cancer Whole-Exome Sequencing in daily practice
Presenter: Manon Réda
Session: Poster Display session 3
Resources:
Abstract
5702 - Genomic-Guided Individualized Precision Therapy in Refractory Metastatic Solid Tumor Patients with Extensively Poor Performance Status: A Chinese single institutional prospective observational real-world study
Presenter: Haitao Wang
Session: Poster Display session 3
Resources:
Abstract