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Solomon JP. Practical Considerations for Oncogenic Fusion Detection and Reporting in Solid Tumors. J Appl Lab Med 2024; 9:116-123. [PMID: 38167769 DOI: 10.1093/jalm/jfad068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 08/15/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Chromosomal rearrangements that result in oncogenic fusions can hold tremendous clinical significance in solid tumors, often with diagnostic or treatment implications. CONTENT Traditionally, low-throughput methods such as fluorescence in situ hybridization were used to identify fusions in the clinical laboratory. With the rise of next-generation sequencing techniques and the broad adoption of comprehensive genomic profiling, the practice of screening for fusions as part of an oncologic workup has evolved. RNA sequencing methods are increasingly used, as these comprehensive high-throughput assays have many advantages over traditional techniques. Several RNA sequencing platforms are available, each with benefits and drawbacks. Regardless of the approach, systematic evaluation of the RNA sequencing results and the fusions identified by the assay should be performed. Assessment of fusion events relies upon evaluation of quality evidence, structural evidence, and functional evidence to ensure accurate fusion reporting and interpretation. SUMMARY Given the clinical significance of gene fusions in oncology, understanding the variety of assays available for fusion detection, their benefits and drawbacks, and how they are used in the identification and interpretation of gene fusions is important for the modern precision oncology practice.
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Affiliation(s)
- James P Solomon
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, United States
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Hofman V, Goffinet S, Bontoux C, Long-Mira E, Lassalle S, Ilié M, Hofman P. A Real-World Experience from a Single Center (LPCE, Nice, France) Highlights the Urgent Need to Abandon Immunohistochemistry for ROS1 Rearrangement Screening of Advanced Non-Squamous Non-Small Cell Lung Cancer. J Pers Med 2023; 13:jpm13050810. [PMID: 37240980 DOI: 10.3390/jpm13050810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/04/2023] [Accepted: 05/08/2023] [Indexed: 05/28/2023] Open
Abstract
The detection of ROS1 rearrangements in metastatic non-squamous non-small cell lung carcinoma (NS-NSCLC) permits administration of efficient targeted therapy. Detection is based on a testing algorithm associated with ROS1 immunohistochemistry (IHC) screening followed by ROS1 FISH and/or next generation sequencing (NGS) to confirm positivity. However, (i) ROS1 rearrangements are rare (1-2% of NS-NSCLC), (ii) the specificity of ROS1 IHC is not optimal, and (iii) ROS1 FISH is not widely available, making this algorithm challenging to interpret time-consuming. We evaluated RNA NGS, which was used as reflex testing for ROS1 rearrangements in NS-NSCLC with the aim of replacing ROS1 IHC as a screening method. ROS1 IHC and RNA NGS were prospectively performed in 810 NS-NSCLC. Positive results were analyzed by ROS1 FISH. ROS1 IHC was positive in 36/810 (4.4%) cases that showed variable staining intensity while NGS detected ROS1 rearrangements in 16/810 (1.9%) cases. ROS1 FISH was positive in 15/810 (1.8%) of ROS1 IHC positive cases and in all positive ROS1 NGS cases. Obtaining both ROS1 IHC and ROS1 FISH reports took an average of 6 days, while obtaining ROS1 IHC and RNA NGS reports took an average of 3 days. These results showed that systematic screening for the ROS1 status using IHC must be replaced by NGS reflex testing.
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Affiliation(s)
- Véronique Hofman
- Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, FHU OncoAge, Pasteur Hospital, 06000 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 06000 Nice, France
- Team 4, IRCAN Inserm U1081, CNRS 7284, Université Côte d'Azur, 06100 Nice, France
| | - Samantha Goffinet
- Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, FHU OncoAge, Pasteur Hospital, 06000 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 06000 Nice, France
| | - Christophe Bontoux
- Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, FHU OncoAge, Pasteur Hospital, 06000 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 06000 Nice, France
- Team 4, IRCAN Inserm U1081, CNRS 7284, Université Côte d'Azur, 06100 Nice, France
| | - Elodie Long-Mira
- Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, FHU OncoAge, Pasteur Hospital, 06000 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 06000 Nice, France
- Team 4, IRCAN Inserm U1081, CNRS 7284, Université Côte d'Azur, 06100 Nice, France
| | - Sandra Lassalle
- Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, FHU OncoAge, Pasteur Hospital, 06000 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 06000 Nice, France
- Team 4, IRCAN Inserm U1081, CNRS 7284, Université Côte d'Azur, 06100 Nice, France
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, FHU OncoAge, Pasteur Hospital, 06000 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 06000 Nice, France
- Team 4, IRCAN Inserm U1081, CNRS 7284, Université Côte d'Azur, 06100 Nice, France
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, University Côte d'Azur, FHU OncoAge, Pasteur Hospital, 06000 Nice, France
- Hospital-Integrated Biobank (BB-0033-00025), Pasteur Hospital, 06000 Nice, France
- Team 4, IRCAN Inserm U1081, CNRS 7284, Université Côte d'Azur, 06100 Nice, France
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Akhoundova D, Hussung S, Sivakumar S, Töpfer A, Rechsteiner M, Kahraman A, Arnold F, Angst F, Britschgi C, Zoche M, Moch H, Weber A, Sokol E, Fritsch RM. ROS1 genomic rearrangements are rare actionable drivers in microsatellite stable colorectal cancer. Int J Cancer 2022; 151:2161-2171. [PMID: 36053834 PMCID: PMC9804412 DOI: 10.1002/ijc.34257] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 07/05/2022] [Accepted: 07/14/2022] [Indexed: 01/05/2023]
Abstract
c-Ros oncogene 1, receptor tyrosine kinase (ROS1) genomic rearrangements have been reported previously in rare cases of colorectal cancer (CRC), yet little is known about the frequency, molecular characteristics, and therapeutic vulnerabilities of ROS1-driven CRC. We analyzed a clinical dataset of 40 589 patients with CRC for ROS1 genomic rearrangements and their associated genomic characteristics (Foundation Medicine, Inc [FMI]). We moreover report the disease course and treatment response of an index patient with ROS1-rearranged metastatic CRC. ROS1 genomic rearrangements were identified in 34 (0.08%) CRC samples. GOPC-ROS1 was the most common ROS1 fusion identified (11 samples), followed by TTC28-ROS1 (3 samples). Four novel 5' gene partners of ROS1 were identified (MCM9, SRPK1, EPHA6, P4HA1). Contrary to previous reports on fusion-positive CRC, ROS1-rearrangements were found exclusively in microsatellite stable (MSS) CRCs. KRAS mutations were significantly less abundant in ROS1-rearranged vs ROS1 wild type cases. The index patient presented with chemotherapy-refractory metastatic right-sided colon cancer harboring GOPC-ROS1. Molecularly targeted treatment with crizotinib induced a rapid and sustained partial response. After 15 months on crizotinib disseminated tumor progression occurred and KRAS Q61H emerged in tissue and liquid biopsies. ROS1 rearrangements define a small, yet therapeutically actionable molecular subgroup of MSS CRC. In summary, the high prevalence of GOPC-ROS1 and noncanonical ROS1 fusions pose diagnostic challenges. We advocate NGS-based comprehensive molecular profiling of MSS CRCs that are wild type for RAS and BRAF and patient enrollment in precision trials.
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Affiliation(s)
- Dilara Akhoundova
- Department of Medical Oncology and HematologyUniversity Hospital of ZurichZurichSwitzerland
| | - Saskia Hussung
- Department of Medical Oncology and HematologyUniversity Hospital of ZurichZurichSwitzerland
| | - Smruthy Sivakumar
- Cancer Genomics ResearchFoundation Medicine, IncCambridgeMassachusettsUSA
| | - Antonia Töpfer
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
| | - Markus Rechsteiner
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
| | - Abdullah Kahraman
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
| | - Fabian Arnold
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
| | - Florian Angst
- Institute of Diagnostic and Interventional RadiologyUniversity Hospital of ZurichZurichSwitzerland
| | - Christian Britschgi
- Department of Medical Oncology and HematologyUniversity Hospital of ZurichZurichSwitzerland
| | - Martin Zoche
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
| | - Holger Moch
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
| | - Achim Weber
- Department of Pathology and Molecular PathologyUniversity Hospital of ZurichZurichSwitzerland
| | - Ethan Sokol
- Cancer Genomics ResearchFoundation Medicine, IncCambridgeMassachusettsUSA
| | - Ralph M. Fritsch
- Department of Medical Oncology and HematologyUniversity Hospital of ZurichZurichSwitzerland
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Pujol N, Heeke S, Bontoux C, Boutros J, Ilié M, Hofman V, Marquette CH, Hofman P, Benzaquen J. Molecular Profiling in Non-Squamous Non-Small Cell Lung Carcinoma: Towards a Switch to Next-Generation Sequencing Reflex Testing. J Pers Med 2022; 12:1684. [PMID: 36294823 PMCID: PMC9605324 DOI: 10.3390/jpm12101684] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/05/2022] Open
Abstract
Molecular diagnosis of lung cancer is a constantly evolving field thanks to major advances in precision oncology. The wide range of actionable molecular alterations in non-squamous non-small cell lung carcinoma (NS-NSCLC) and the multiplicity of mechanisms of resistance to treatment resulted in the need for repeated testing to establish an accurate molecular diagnosis, as well as to track disease evolution over time. While assessing the increasing complexity of the molecular composition of tumors at baseline, as well as over time, has become increasingly challenging, the emergence and implementation of next-generation sequencing (NGS) testing has extensively facilitated molecular profiling in NS-NSCLC. In this review, we discuss recent developments in the molecular profiling of NS-NSCLC and how NGS addresses current needs, as well as how it can be implemented to address future challenges in the management of NS-NSCLC.
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Affiliation(s)
- Nina Pujol
- Centre Antoine-Lacassagne, Department of Radiation Oncology, Côte d’Azur University, 06000 Nice, France
| | - Simon Heeke
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Christophe Bontoux
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Jacques Boutros
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, 06000 Nice, France
| | - Marius Ilié
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Véronique Hofman
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Charles-Hugo Marquette
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, 06000 Nice, France
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, Biobank BB-0033-00025, 06000 Nice, France
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
| | - Jonathan Benzaquen
- CNRS UMR 7284, INSERM U1081, Institute of Research on Cancer and Aging, Côte d’Azur University, 06000 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Côte d’Azur University, Pasteur 1 Hospital, Centre Hospitalier Universitaire de Nice, FHU OncoAge, 06000 Nice, France
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Rojo F, Conde E, Torres H, Cabezón-Gutiérrez L, Bautista D, Ramos I, Carcedo D, Arrabal N, García JF, Galán R, Nadal E. Clinical and economic impact of 'ROS1-testing' strategy compared to a 'no-ROS1-testing' strategy in advanced NSCLC in Spain. BMC Cancer 2022; 22:292. [PMID: 35303812 PMCID: PMC8933896 DOI: 10.1186/s12885-022-09397-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 03/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background Detection of the ROS1 rearrangement is mandatory in patients with advanced or metastatic non-small cell lung cancer (NSCLC) to allow targeted therapy with specific inhibitors. However, in Spanish clinical practice ROS1 determination is not yet fully widespread. The aim of this study is to determine the clinical and economic impact of sequentially testing ROS1 in addition to EGFR and ALK in Spain. Methods A joint model (decision-tree and Markov model) was developed to determine the cost-effectiveness of testing ROS1 strategy versus a no-ROS1 testing strategy in Spain. Distribution of ROS1 techniques, rates of testing, positivity, and invalidity of biomarkers included in the analysis (EGFR, ALK, ROS1 and PD-L1) were based on expert opinion and Lungpath real-world database. Treatment allocation depending on the molecular testing results was defined by expert opinion. For each treatment, a 3-states Markov model was developed, where progression-free survival (PFS) and overall survival (OS) curves were parameterized using exponential extrapolations to model transition of patients among health states. Only medical direct costs were included (€ 2021). A lifetime horizon was considered and a discount rate of 3% was applied for both costs and effects. Both deterministic and probabilistic sensitivity analyses were performed to address uncertainty. Results A target population of 8755 patients with advanced NSCLC (non-squamous or never smokers squamous) entered the model. Over a lifetime horizon, the ROS1 testing scenario produced additional 157.5 life years and 121.3 quality-adjusted life years (QALYs) compared with no-ROS1 testing scenario. Total direct costs were increased up to € 2,244,737 for ROS1 testing scenario. The incremental cost-utility ratio (ICUR) was 18,514 €/QALY. Robustness of the base-case results were confirmed by the sensitivity analysis. Conclusions Our study shows that ROS1 testing in addition to EGFR and ALK is a cost-effective strategy compared to no-ROS1 testing, and it generates more than 120 QALYs in Spain over a lifetime horizon. Despite the low prevalence of ROS1 rearrangements in NSCLC patients, the clinical and economic consequences of ROS1 testing should encourage centers to test all advanced or metastatic NSCLC (non-squamous and never-smoker squamous) patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09397-4.
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Affiliation(s)
- Federico Rojo
- Hospital Universitario Fundación Jiménez Diaz - CIBERONC, Madrid, Spain
| | - Esther Conde
- Hospital Universiario 12 de Octubre-CIBERONC, Madrid, Spain
| | - Héctor Torres
- Hospital Universitario Central de Asturias, Oviedo, Spain
| | | | | | | | - David Carcedo
- Hygeia Consulting, S.A, Madrid, Spain. .,Hygeia Consulting, Barcelona, Spain.
| | | | | | | | - Ernest Nadal
- Catalan Institute of Oncology, Hospital Duran i Reynals, IDIBELL, L'Hospitalet de Llobregat, Spain
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