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Ferreira-Gonzalez A, Hocum B, Ko G, Shuvo S, Appukkuttan S, Babajanyan S. Next-Generation Sequencing Trends among Adult Patients with Select Advanced Tumor Types: A Real-World Evidence Evaluation. J Mol Diagn 2024; 26:292-303. [PMID: 38296192 DOI: 10.1016/j.jmoldx.2024.01.005] [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: 07/11/2023] [Revised: 10/10/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
There are limited data on the prevalence of next-generation sequencing (NGS) in the United States, especially in light of the increasing importance of identifying actionable oncogenic variants due to molecular biomarker-based therapy approvals. This retrospective study of adult patients with select metastatic solid tumors and central nervous system tumors from the Optum Clinformatics Data Mart US health care claims database (January 1, 2014, to June 30, 2021; N = 63,209) examined NGS use trends over time. A modest increase in NGS was observed across tumor types from 2015 (0.0% to 1.5%) to 2021 (2.1% to 17.4%). A similar increase in NGS rates was also observed across key periods; however, rates in the final key period remained <10% for patients with breast, colorectal, head and neck, soft tissue sarcoma, and thyroid cancers, as well as central nervous system tumors. The median time to NGS from diagnosis was shortest among patients with non-small-cell lung cancer and longest for patients with breast cancer. Predictors of NGS varied by tumor type; test rates for minorities in select tumor types appeared comparable to the White population. Despite improving payer policies to expand coverage of NGS and molecular biomarker-based therapy approvals, NGS rates remained low across tumor types. Given the potential for improved patient outcomes with molecular biomarker-based therapy, further efforts to improve NGS rates are warranted.
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Affiliation(s)
| | - Brian Hocum
- Bayer HealthCare Pharmaceuticals, Inc., Whippany, New Jersey
| | - Gilbert Ko
- Bayer HealthCare Pharmaceuticals, Inc., Whippany, New Jersey.
| | - Sohul Shuvo
- Bayer HealthCare Pharmaceuticals, Inc., Whippany, New Jersey
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Conde E, Hernandez S, Rodriguez Carrillo JL, Martinez R, Alonso M, Curto D, Jimenez B, Caminoa A, Benito A, Garrido P, Clave S, Arriola E, Esteban-Rodriguez I, De Castro J, Sansano I, Felip E, Rojo F, Dómine M, Abdulkader I, Garcia-Gonzalez J, Teixido C, Reguart N, Compañ D, Insa A, Mancheño N, Palanca S, Juan-Vidal O, Baixeras N, Nadal E, Cebollero M, Calles A, Martin P, Salas C, Provencio M, Aranda I, Massuti B, Lopez-Vilaro L, Majem M, Paz-Ares L, Lopez-Rios F. RET Fusion Testing in Patients With NSCLC: The RETING Study. JTO Clin Res Rep 2024; 5:100653. [PMID: 38525319 PMCID: PMC10957499 DOI: 10.1016/j.jtocrr.2024.100653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/31/2024] [Accepted: 02/18/2024] [Indexed: 03/26/2024] Open
Abstract
Introduction RET inhibitors with impressive overall response rates are now available for patients with NSCLC, yet the identification of RET fusions remains a difficult challenge. Most guidelines encourage the upfront use of next-generation sequencing (NGS), or alternatively, fluorescence in situ hybridization (FISH) or reverse transcriptase-polymerase chain reaction (RT-PCR) when NGS is not possible or available. Taken together, the suboptimal performance of single-analyte assays to detect RET fusions, although consistent with the notion of encouraging universal NGS, is currently widening some of the clinical practice gaps in the implementation of predictive biomarkers in patients with advanced NSCLC. Methods This situation prompted us to evaluate several RET assays in a large multicenter cohort of RET fusion-positive NSCLC (n = 38) to obtain real-world data. In addition to RNA-based NGS (the criterion standard method), all positive specimens underwent break-apart RET FISH with two different assays and were also tested by an RT-PCR assay. Results The most common RET partners were KIF5B (78.9%), followed by CCDC6 (15.8%). The two RET NGS-positive but FISH-negative samples contained a KIF5B(15)-RET(12) fusion. The three RET fusions not identified with RT-PCR were AKAP13(35)-RET(12), KIF5B(24)-RET(9) and KIF5B(24)-RET(11). All three false-negative RT-PCR cases were FISH-positive, exhibited a typical break-apart pattern, and contained a very high number of positive tumor cells with both FISH assays. Signet ring cells, psammoma bodies, and pleomorphic features were frequently observed (in 34.2%, 39.5%, and 39.5% of tumors, respectively). Conclusions In-depth knowledge of the advantages and disadvantages of the different RET testing methodologies could help clinical and molecular tumor boards implement and maintain sensible algorithms for the rapid and effective detection of RET fusions in patients with NSCLC. The likelihood of RET false-negative results with both FISH and RT-PCR reinforces the need for upfront NGS in patients with NSCLC.
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Affiliation(s)
- Esther Conde
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Universidad Complutense, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
| | - Susana Hernandez
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
| | | | | | - Marta Alonso
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
| | - Daniel Curto
- Hospital Universitario 12 de Octubre, Madrid, Spain
| | | | | | | | - Pilar Garrido
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital Universitario Ramon y Cajal, Madrid, Spain
| | - Sergi Clave
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital del Mar, Barcelona, Spain
| | - Edurne Arriola
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital del Mar, Barcelona, Spain
| | | | - Javier De Castro
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Hospital Universitario La Paz, Madrid, Spain
- Instituto de Investigacion Sanitaria del Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
| | - Irene Sansano
- Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | | | - Federico Rojo
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Instituto de Investigacion Sanitaria-Fundacion Jimenez Diaz (IIS-FJD), Madrid, Spain
| | - Manuel Dómine
- Instituto de Investigacion Sanitaria-Fundacion Jimenez Diaz (IIS-FJD), Madrid, Spain
- Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain
| | - Ihab Abdulkader
- Hospital Clinico Universitario de Santiago, Santiago de Compostela, Spain
| | | | - Cristina Teixido
- Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Noemi Reguart
- Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | | | - Amelia Insa
- Hospital Clinico Universitario, Valencia, Spain
| | - Nuria Mancheño
- Hospital Universitario y Politecnico La Fe, Valencia, Spain
| | - Sarai Palanca
- Hospital Universitario y Politecnico La Fe, Valencia, Spain
| | | | - Nuria Baixeras
- Hospital Universitari de Bellvitge, L’Hospitalet, Barcelona, Spain
| | - Ernest Nadal
- Catalan Institute of Oncology, L’Hospitalet, Barcelona, Spain
| | - Maria Cebollero
- Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Antonio Calles
- Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Paloma Martin
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
- Instituto de Investigación Sanitaria Hospital Universitario Puerta de Hierro, Madrid, Spain
| | - Clara Salas
- Hospital Universitario Puerta de Hierro, Madrid, Spain
| | | | - Ignacio Aranda
- Hospital General Universitario Dr. Balmis – Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | - Bartomeu Massuti
- Hospital General Universitario Dr. Balmis – Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain
| | | | | | - Luis Paz-Ares
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Universidad Complutense, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
| | - Fernando Lopez-Rios
- Hospital Universitario 12 de Octubre, Madrid, Spain
- Universidad Complutense, Madrid, Spain
- Research Institute Hospital 12 de Octubre (i+12), Madrid, Spain
- Centro de Investigación Biomedica en Red Cancer (CIBERONC), Madrid, Spain
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Ortendahl JD, Cuyun Carter G, Thakkar SG, Bognar K, Hall DW, Abdou Y. Value of next generation sequencing (NGS) testing in advanced cancer patients. J Med Econ 2024; 27:519-530. [PMID: 38466204 DOI: 10.1080/13696998.2024.2329009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/07/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE The availability of targeted therapies for oncology patients is increasing. Available genomic tests to identify treatment-eligible patients include single gene tests and gene panel tests, including the whole-exome, whole-transcriptome OncoExTra test. We assessed the costs and clinical benefits of test choice. METHODS A Microsoft Excel-based model was developed to evaluate test choice in patients with advanced/metastatic non-small cell lung cancer (NSCLC), breast, prostate, and colorectal cancer. Treatment pathways were based on NCCN guidelines and medical expert opinion. Inputs were derived from published literature. Annual economic results and lifetime clinical results with OncoExTra testing were projected per-tested-patient and compared with single gene testing and no testing. Separately, results were estimated for a US health plan without the OncoExTra test and with its use in 5% of patients. RESULTS Compared with no genomic testing, OncoExTra test use increased costs by $4,915 per patient; however, 82%-92% of individuals across tumour types were identified as eligible for targeted therapy or a clinical trial. Compared with single gene testing, OncoExTra test use decreased costs by $9,966 per-patient-tested while increasing use of approved or investigational targeted therapies by 20%. When considering a hypothetical health plan with 1 million members, 858 patients were eligible for genomic testing. Using the OncoExTra test in 5% of those eligible, per-member per-month costs decreased by $0.003, ranging from cost-savings of $0.026 in NSCLC patients to a $0.009 increase in prostate cancer patients. Cost-savings were driven by reduced treatment costs with increased clinical trial enrolment and reduced direct and indirect medical costs associated with targeted treatments. LIMITATIONS Limitations include the required simplifications in modelling complex conditions that may not fully reflect evolving real-world testing and treatment patterns. CONCLUSIONS Compared to single-gene testing, results indicate that using next generation sequencing test such as OncoExTra identified more actionable alterations, leading to improved outcomes and reduced costs.
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Affiliation(s)
- Jesse D Ortendahl
- Partnership for Health Analytic Research (PHAR), LLC, Beverly Hills, CA, USA
| | | | | | - Katalin Bognar
- Partnership for Health Analytic Research (PHAR), LLC, Beverly Hills, CA, USA
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