Abstract 5905
Background
Developments in next generation sequencing (NGS) have revolutionized oncogenic biomarker detection, removing the limitations of single-nucleotide polymorphisms (SNPs) to allow for massive parallel sequencing to detect multiple oncogenic gene fusions. We believe NGS testing platforms are not uniform within the current solid tumor lab landscape, with NGS analysis capabilities ranging from SNPs only to SNPs and known gene fusions, potentially missing crucial biomarkers. The objective of this study was to determine the current NGS capability of solid tumor labs to detect unknown fusions.
Methods
This study used real-world clinical pathology solid tumor labs data from the United States, United Kingdom, France, Spain, Italy, and Germany that conduct NGS. The Diaceutics proprietary global database of more than 2500 labs was analysed across these markets in Q4 2018 to understand NGS testing capabilities currently available within the routine clinical lab setting.
Results
The results of the study are presented in the table. Of the 131 labs in the US performing NGS, only 50 were able to detect fusions. Of those 50 labs, 42 were restricted to using panels designed to detect specific known fusions. Only 8 labs in the US were able to detect unknown fusions. This pattern was reflected in labs surveyed in 5 other countries.Table: 1409P
Solid tumor labs: NGS panel use and gene fusion detection
Country | Number of solid tumor labs performing NGS | Number of labs that can detect fusions | Number of labs that can detect known fusions | Number of labs that can detect known and unknown fusions |
---|---|---|---|---|
US | 131 | 50 | 42 | 8 |
France | 39 | 11 | 7 | 4 |
Germany | 21 | 5 | 4 | 1 |
Spain | 23 | 4 | 4 | 0 |
Italy | 30 | 7 | 6 | 1 |
UK | 24 | 7 | 1 | 6 |
Conclusions
Labs are not well equipped to handle the pace of advancement in biomarker testing. While targeted treatments and companion diagnostics usher in a new age of precision medicine in cancer and extend survival times, many labs lack the technology needed to accurately identify emerging gene fusion biomarkers, especially unknown fusions. This results in both confusion among physicians regarding testing adequacy and missed opportunities for improved outcomes among patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Diaceutics.
Funding
Diaceutics.
Disclosure
S. Finucane: Full / Part-time employment: Diaceutics. S. Haridas: Shareholder / Stockholder / Stock options, Full / Part-time employment: Diaceutics. L. Handley: Full / Part-time employment: Diaceutics. J. Clark: Shareholder / Stockholder / Stock options, Full / Part-time employment, Officer / Board of Directors: Diaceutics. A. Jack: Shareholder / Stockholder / Stock options, Full / Part-time employment: Diaceutics. S. Munksted: Shareholder / Stockholder / Stock options, Full / Part-time employment: Diaceutics.
Resources from the same session
4614 - Predictors of Response to Checkpoint Inhibitors in Naïve and Ipilimumab-Refractory Melanoma
Presenter: Domenico Mallardo
Session: Poster Display session 3
Resources:
Abstract
2901 - IFN-γ/IL-10 ratio as predictive biomarker for response to anti-PD-1 therapy in metastatic melanoma patients
Presenter: Emilio Giunta
Session: Poster Display session 3
Resources:
Abstract
2306 - Multiplex Chromogenic Immunohistochemistry (IHC) for Spatial Analysis of Checkpoint-Positive Tumor Infiltrating Lymphocytes (TILs)
Presenter: Scott Ely
Session: Poster Display session 3
Resources:
Abstract
1678 - The role of PD-L1 expression as a predictive biomarker in advanced renal cell carcinoma: a meta-analysis of randomized clinical trials.
Presenter: Alberto Carretero-Gonzalez
Session: Poster Display session 3
Resources:
Abstract
5138 - Radiomic Features as a Non-invasive Biomarker to Predict Response to Immunotherapy in Recurrent or Metastatic Urothelial Carcinoma
Presenter: Kye Jin Park
Session: Poster Display session 3
Resources:
Abstract
5800 - Integrative combination of high-plex digital profiling techniques and cluster analysis to reveal complex immune biology in the tumor microenvironment of mesothelioma
Presenter: Carmen Ballesteros-Merino
Session: Poster Display session 3
Resources:
Abstract
5736 - Predictive factors of response to immunotherapy in 198 patients with metastatic non-microcytic lung cancer (mNSCLC): real world data from 2 university hospitals in Spain
Presenter: Juan Felipe Cordoba Ortega
Session: Poster Display session 3
Resources:
Abstract
5645 - Evaluating Lung CT Density Changes Among Patients with Extensive Stage Small Cell Lung Cancer (ES-SCLC) Treated with Thoracic Radiotherapy (TRT) alone or TRT Followed by Combined Ipilimumab (IPI) and Nivolumab (NIVO).
Presenter: Kujtim Latifi
Session: Poster Display session 3
Resources:
Abstract
1540 - Immuno-oncology therapy biomarkers differences between polyoma-virus positive and negative Merkel cell carcinomas
Presenter: Zoran Gatalica
Session: Poster Display session 3
Resources:
Abstract
4538 - Can we improve patient selection for phase 1 clinical trials (Ph1) based on Immuno-Oncology score prognostic index (VIO)?
Presenter: Ignacio Matos Garcia
Session: Poster Display session 3
Resources:
Abstract