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Yang SC, Lin CC, Chen YL, Su WC. Economic Analysis of Tissue-First, Plasma-First, and Complementary NGS Approaches for Treatment-Naïve Metastatic Lung Adenocarcinoma. Front Oncol 2022; 12:873111. [PMID: 35669427 PMCID: PMC9163561 DOI: 10.3389/fonc.2022.873111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/21/2022] [Indexed: 12/03/2022] Open
Abstract
Background To compare the testing costs and testing turnaround times of tissue-first, plasma-first, and complementary next-generation sequencing (NGS) approaches in patients with treatment-naïve metastatic lung adenocarcinoma. Materials and Methods We developed a decision tree model to compare three different approaches. Patients were entered into the model upon cancer diagnosis and those with both insufficient tissue specimens and negative liquid-based NGS were subjected to tissue re-biopsy. Actionable gene alterations with the U.S. Food and Drug Administration (FDA)-approved therapies included epidermal growth factor receptor (EGFR) mutation, anaplastic lymphoma kinase (ALK) gene rearrangement, ROS proto-oncogene 1 (ROS1) rearrangement, B-Raf proto-oncogene (BRAF) V600E mutation, rearranged during transfection (RET) gene rearrangement, mesenchymal-epithelial transition factor (MET) mutation, neurotrophic tyrosine receptor kinase (NTRK) gene rearrangement, K-Ras proto-oncogene (KRAS) G12C mutation, and human epidermal growth factor receptor 2 (HER2) mutation. Model outcomes were testing costs, testing turnaround times, and monetary losses taking both cost and time into consideration. We presented base-case results using probabilistic analysis. Stacked one-way and three-way sensitivity analyses were also performed. Results In terms of testing costs, tissue-first approach incurred US$2,354($1,963-$2,779) and was the most cost-efficient strategy. Complementary approach testing turnaround time (days) of 12.7 (10.8 to 14.9) was found as the least time-consuming strategy. Tissue-first, complementary, and plasma-first approaches resulted in monetary losses in USD of $4,745 ($4,010-$5,480), $6,778 ($5,923-$7,600), and $7,006 ($6,047-$7,964) respectively, and identified the same percentage of patients with appropriate FDA-approved therapies. Costs for liquid-based NGS, EGFR mutation rates, and quantity of tissue specimens were the major determinants in minimizing monetary loss. Plasma-first approach would be the preferable strategy if its testing price was reduced in USD to $818, $1,343, and $1,869 for populations with EGFR mutation rates of 30%, 45%, and 60% respectively. Conclusion The tissue-first approach is currently the best strategy in minimizing monetary loss. The complementary approach is an alternative for populations with a low EGFR mutation rate. The plasma-first approach becomes increasingly preferable as EGFR mutation rates gradually increase.
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Affiliation(s)
- Szu-Chun Yang
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chien-Chung Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yi-Lin Chen
- Molecular Diagnosis Laboratory, Department of Pathology, National Cheng Kung University Hospital, Tainan, Taiwan
- Department of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Wu-Chou Su
- Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
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Ilié M, Hofman V, Bontoux C, Heeke S, Lespinet-Fabre V, Bordone O, Lassalle S, Lalvée S, Tanga V, Allegra M, Salah M, Bohly D, Benzaquen J, Marquette CH, Long-Mira E, Hofman P. Setting Up an Ultra-Fast Next-Generation Sequencing Approach as Reflex Testing at Diagnosis of Non-Squamous Non-Small Cell Lung Cancer; Experience of a Single Center (LPCE, Nice, France). Cancers (Basel) 2022; 14:2258. [PMID: 35565387 PMCID: PMC9104603 DOI: 10.3390/cancers14092258] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 04/28/2022] [Indexed: 12/12/2022] Open
Abstract
The number of genomic alterations required for targeted therapy of non-squamous non-small cell lung cancer (NS-NSCLC) patients has increased and become more complex these last few years. These molecular abnormalities lead to treatment that provides improvement in overall survival for certain patients. However, these treated tumors inexorably develop mechanisms of resistance, some of which can be targeted with new therapies. The characterization of the genomic alterations needs to be performed in a short turnaround time (TAT), as indicated by the international guidelines. The origin of the tissue biopsies used for the analyses is diverse, but their size is progressively decreasing due to the development of less invasive methods. In this respect, the pathologists are facing a number of different challenges requiring them to set up efficient molecular technologies while maintaining a strategy that allows rapid diagnosis. We report here our experience concerning the development of an optimal workflow for genomic alteration assessment as reflex testing in routine clinical practice at diagnosis for NS-NSCLC patients by using an ultra-fast-next generation sequencing approach (Ion Torrent Genexus Sequencer, Thermo Fisher Scientific). We show that the molecular targets currently available to personalized medicine in thoracic oncology can be identified using this system in an appropriate TAT, notably when only a small amount of nucleic acids is available. We discuss the new challenges and the perspectives of using such an ultra-fast NGS in daily practice.
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Affiliation(s)
- Marius Ilié
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Véronique Hofman
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Christophe Bontoux
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Simon Heeke
- Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Virginie Lespinet-Fabre
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
| | - Olivier Bordone
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Sandra Lassalle
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Salomé Lalvée
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
| | - Virginie Tanga
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Maryline Allegra
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Myriam Salah
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Doriane Bohly
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
| | - Jonathan Benzaquen
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Pasteur Hospital, 06000 Nice, France
| | - Charles-Hugo Marquette
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
- Department of Pulmonary Medicine and Thoracic Oncology, Pasteur Hospital, 06000 Nice, France
| | - Elodie Long-Mira
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (M.I.); (V.H.); (C.B.); (V.L.-F.); (O.B.); (S.L.); (S.L.); (E.L.-M.)
- Biobank-related Hospital (BB-0033-00025), Pasteur Hospital, 06000 Nice, France; (V.T.); (M.A.); (M.S.); (D.B.)
- FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06000 Nice, France; (J.B.); (C.-H.M.)
- Inserm U1081, CNRS UMR 7413, IRCAN, 06100 Nice, France
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Zhang J, Abou-Fadel J, Renteria M, Belkin O, Chen B, Zhu Y, Dammann P, Rigamonti D. Cerebral cavernous malformations do not fall in the spectrum of PIK3CA-related overgrowth. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2022-328901. [PMID: 35477890 DOI: 10.1136/jnnp-2022-328901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 03/23/2022] [Indexed: 11/04/2022]
Abstract
Somatic gain-of-function (GOF) mutations in phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA), the catalytic subunit of phosphoinositide 3-kinase (PI3K), have been recently discovered in cerebral cavernous malformations (CCMs), raising the possibility that the activation of PI3K pathways is a possible universal regulator of vascular morphogenesis. However, there have been contradicting data presented among various groups and studies. To enhance the current understanding of vascular anomalies, it is essential to explore this possible relationship between altered PI3K signalling pathways and its influence on the pathogenesis of CCMs. GOF PIK3CA-mutants have been linked to overgrowth syndromes, allowing this group of disorders, resulting from somatic activating mutations in PIK3CA, to be collectively named as PIK3CA-related overgrowth spectrum disorders. This paper reviews and attempts to conceptualise the relationships and differences among clinical presentations, genotypic and phenotypic correlations and possible coexistence of PIK3CA and CCM mutations/phenotypes in CCM lesions. Finally, we present a model reflecting our hypothetical understanding of CCM pathogenesis based on a systematic review and conceptualisation of data obtained from other studies.
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Affiliation(s)
- Jun Zhang
- Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - Johnathan Abou-Fadel
- Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - Mellisa Renteria
- Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - Ofek Belkin
- Molecular and Translational Medicine, Texas Tech University Health Sciences Center El Paso, El Paso, Texas, USA
| | - Bixia Chen
- Department of Neurosurgery, University of Duisburg-Essen, Essen, Germany
| | - Yuan Zhu
- Department of Neurosurgery, University of Duisburg-Essen, Essen, Germany
| | - Philipp Dammann
- Department of Neurosurgery, University of Duisburg-Essen, Essen, Germany
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Mateo J, Steuten L, Aftimos P, André F, Davies M, Garralda E, Geissler J, Husereau D, Martinez-Lopez I, Normanno N, Reis-Filho JS, Stefani S, Thomas DM, Westphalen CB, Voest E. Delivering precision oncology to patients with cancer. Nat Med 2022; 28:658-665. [PMID: 35440717 DOI: 10.1038/s41591-022-01717-2] [Citation(s) in RCA: 133] [Impact Index Per Article: 66.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 01/26/2022] [Indexed: 12/15/2022]
Abstract
With the increasing use of genomic profiling for diagnosis and therapy guidance in many tumor types, precision oncology is rapidly reshaping cancer care. However, the current trajectory of drug development in oncology results in a paradox: if patients cannot access advanced diagnostics, we may be developing drugs that will reach few patients. In this Perspective, we outline the major challenges to the implementation of precision oncology and discuss critical steps toward resolving these, including facilitation of equal access to genomics tests, ensuring that clinical studies provide robust evidence for new drugs and technologies, enabling physicians to interpret genomics data, and empowering patients toward shared decision-making. A multi-stakeholder approach to evidence generation, value assessment, and healthcare delivery is necessary to translate advances in precision oncology into benefits for patients with cancer globally.
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Affiliation(s)
- Joaquin Mateo
- Vall d'Hebron Institute of Oncology (VHIO) and Vall d'Hebron University Hospital, Barcelona, Spain
| | - Lotte Steuten
- Office of Health Economics, London, UK
- City University of London, London, UK
| | - Philippe Aftimos
- Institut Jules Bordet - Université Libre de Bruxelles, Brussels, Belgium
| | - Fabrice André
- Institut Gustave Roussy, INSERM U981, Université Paris Saclay, Villejuif, France
| | | | - Elena Garralda
- Vall d'Hebron Institute of Oncology (VHIO) and Vall d'Hebron University Hospital, Barcelona, Spain
| | | | | | - Iciar Martinez-Lopez
- Unit of Genetics and Genomics of the Balearic Islands, Son Espases University Hospital, Illes, Balears, Spain
| | - Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori-IRCCS 'Fondazione G. Pascale', Naples, Italy
| | | | | | - David M Thomas
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - C Benedikt Westphalen
- Comprehensive Cancer Center Munich & Department of Medicine III, Ludwig Maximilian University of Munich, Munich, Germany
- German Cancer Consortium (DKTK partner site Munich), Heidelberg, Germany
| | - Emile Voest
- Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Oncode Institute, Utrecht, the Netherlands.
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Asad Zadeh Vosta Kolaei F, Cai B, Kanakamedala H, Kim J, Doban V, Zhang S, Shi M. Biomarker Testing Patterns and Treatment Outcomes in Patients With Advanced Non-Small Cell Lung Cancer and MET Exon 14 Skipping Mutations: A Descriptive Analysis From the US. Front Oncol 2022; 12:786124. [PMID: 35280795 PMCID: PMC8915293 DOI: 10.3389/fonc.2022.786124] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 01/27/2022] [Indexed: 12/19/2022] Open
Abstract
Background MET exon 14 skipping mutation (METex14) is observed in ~3% of non-small cell lung cancer (NSCLC) cases and has been shown to be an independent poor prognostic factor associated with shorter overall disease-specific survival. Broad molecular testing can identify this biomarker in patients with advanced NSCLC (aNSCLC) and allow patients to be matched with the appropriate targeted therapy. This study examines biomarker testing patterns and clinical outcomes of chemotherapy and immuno-oncology (IO) monotherapy in aNSCLC patients with METex14. Methods A descriptive retrospective study was conducted using the Flatiron Health-Foundation Medicine Inc. (FMI) clinico-genomic database. Patients with METex14 aNSCLC treated with systemic therapies were included in the biomarker testing analysis. The duration from specimen collection to reported results was assessed for PD-L1- and METex14-tested patients. Clinical outcomes were assessed in patients treated with chemotherapy or IO monotherapy. First-line (1L) and second-line (2L) real-world progression-free survival (rw-PFS) were estimated using Kaplan-Meier analysis. Results Of 91 METex14 patients eligible for the biomarker testing analysis, 77% and 60% received PD-L1 and FMI next-generation sequencing (NGS) testing within 3 months post aNSCLC diagnosis. Of those assessed for both PD-L1 and METex14 (n=9), the median duration between specimen collection and reporting was 1 week shorter for PD-L1 than for FMI NGS. Median 1L rw-PFS was 5.7 months (95% CI, 4.6-7.1) and 2.4 months (95% CI, 1.4-3.2) in patients receiving 1L chemotherapy (n=59) and IO monotherapy (n=18), with 3-month 1L rw-PFS rates of 78% and 33%. Median 2L rw-PFS was 3.5 months (95% CI, 1.9-11.1) and 4.7 months (95% CI, 2.8-12.9) in patients receiving 2L chemotherapy (n=16) and IO monotherapy (n=23), with 3-month 2L rw-PFS rates of 54% and 67%. Conclusions The median time from biopsy to test results appears 1 week shorter for PD-L1 than for FMI NGS. Chemotherapy and IO monotherapy were the most common regimens utilized but with limited PFS.
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Affiliation(s)
| | - Beilei Cai
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, United States
| | | | - Julia Kim
- Genesis Research, Hoboken, NJ, United States
| | - Vitalii Doban
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, United States
| | - Shiyu Zhang
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, United States
| | - Michael Shi
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, United States
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Sheffield BS, Beharry A, Diep J, Perdrizet K, Iafolla MAJ, Raskin W, Dudani S, Brett MA, Starova B, Olsen B, Cheema PK. Point of Care Molecular Testing: Community-Based Rapid Next-Generation Sequencing to Support Cancer Care. Curr Oncol 2022; 29:1326-1334. [PMID: 35323313 PMCID: PMC8947443 DOI: 10.3390/curroncol29030113] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/21/2022] [Accepted: 02/22/2022] [Indexed: 11/16/2022] Open
Abstract
Purpose: Biomarker data are critical to the delivery of precision cancer care. The average turnaround of next-generation sequencing (NGS) reports is over 2 weeks, and in-house availability is typically limited to academic centers. Lengthy turnaround times for biomarkers can adversely affect outcomes. Traditional workflows involve moving specimens through multiple facilities. This study evaluates the feasibility of rapid comprehensive NGS using the Genexus integrated sequencer and a novel streamlined workflow in a community setting. Methods: A retrospective chart review was performed to assess the early experience and performance characteristics of a novel approach to biomarker testing at a large community center. This approach to NGS included an automated workflow utilizing the Genexus integrated sequencer, validated for clinical use. NGS testing was further integrated within a routine immunohistochemistry (IHC) service, utilizing histotechnologists to perform technical aspects of NGS, with results reported directly by anatomic pathologists. Results: Between October 2020 and October 2021, 578 solid tumor samples underwent genomic profiling. Median turnaround time for biomarker results was 3 business days (IQR: 2-5). Four hundred eighty-one (83%) of the cases were resulted in fewer than 5 business days, and 66 (11%) of the cases were resulted simultaneously with diagnosis. Tumor types included lung cancer (310), melanoma (97), and colorectal carcinoma (68), among others. NGS testing detected key driver alterations at expected prevalence rates: lung EGFR (16%), ALK (3%), RET (1%), melanoma BRAF (43%), colorectal RAS/RAF (67%), among others. Conclusion: This is the first study demonstrating clinical implementation of rapid NGS. This supports the feasibility of automated comprehensive NGS performed and interpreted in parallel with diagnostic histopathology and immunohistochemistry. This novel approach to biomarker testing offers considerable advantages to clinical cancer care.
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Affiliation(s)
- Brandon S. Sheffield
- Department of Laboratory Medicine, William Osler Health System, Brampton, ON L6R 3J7, Canada; (A.B.); (J.D.); (M.A.B.); (B.S.); (B.O.)
| | - Andrea Beharry
- Department of Laboratory Medicine, William Osler Health System, Brampton, ON L6R 3J7, Canada; (A.B.); (J.D.); (M.A.B.); (B.S.); (B.O.)
| | - Joanne Diep
- Department of Laboratory Medicine, William Osler Health System, Brampton, ON L6R 3J7, Canada; (A.B.); (J.D.); (M.A.B.); (B.S.); (B.O.)
| | - Kirstin Perdrizet
- Division of Medical Oncology, William Osler Health System, Brampton, ON L6R 3J7, Canada; (K.P.); (M.A.J.I.); (W.R.); (S.D.); (P.K.C.)
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Marco A. J. Iafolla
- Division of Medical Oncology, William Osler Health System, Brampton, ON L6R 3J7, Canada; (K.P.); (M.A.J.I.); (W.R.); (S.D.); (P.K.C.)
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - William Raskin
- Division of Medical Oncology, William Osler Health System, Brampton, ON L6R 3J7, Canada; (K.P.); (M.A.J.I.); (W.R.); (S.D.); (P.K.C.)
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
| | - Shaan Dudani
- Division of Medical Oncology, William Osler Health System, Brampton, ON L6R 3J7, Canada; (K.P.); (M.A.J.I.); (W.R.); (S.D.); (P.K.C.)
| | - Mary Anne Brett
- Department of Laboratory Medicine, William Osler Health System, Brampton, ON L6R 3J7, Canada; (A.B.); (J.D.); (M.A.B.); (B.S.); (B.O.)
| | - Blerta Starova
- Department of Laboratory Medicine, William Osler Health System, Brampton, ON L6R 3J7, Canada; (A.B.); (J.D.); (M.A.B.); (B.S.); (B.O.)
| | - Brian Olsen
- Department of Laboratory Medicine, William Osler Health System, Brampton, ON L6R 3J7, Canada; (A.B.); (J.D.); (M.A.B.); (B.S.); (B.O.)
| | - Parneet K. Cheema
- Division of Medical Oncology, William Osler Health System, Brampton, ON L6R 3J7, Canada; (K.P.); (M.A.J.I.); (W.R.); (S.D.); (P.K.C.)
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada
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Horgan D, Curigliano G, Rieß O, Hofman P, Büttner R, Conte P, Cufer T, Gallagher WM, Georges N, Kerr K, Penault-Llorca F, Mastris K, Pinto C, Van Meerbeeck J, Munzone E, Thomas M, Ujupan S, Vainer GW, Velthaus JL, André F. Identifying the Steps Required to Effectively Implement Next-Generation Sequencing in Oncology at a National Level in Europe. J Pers Med 2022; 12:72. [PMID: 35055387 PMCID: PMC8780351 DOI: 10.3390/jpm12010072] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 12/16/2021] [Accepted: 12/29/2021] [Indexed: 02/07/2023] Open
Abstract
Next-generation sequencing (NGS) may enable more focused and highly personalized cancer treatment, with the National Comprehensive Cancer Network and European Society for Medical Oncology guidelines now recommending NGS for daily clinical practice for several tumor types. However, NGS implementation, and therefore patient access, varies across Europe; a multi-stakeholder collaboration is needed to establish the conditions required to improve this discrepancy. In that regard, we set up European Alliance for Personalised Medicine (EAPM)-led expert panels during the first half of 2021, including key stakeholders from across 10 European countries covering medical, economic, patient, industry, and governmental expertise. We describe the outcomes of these panels in order to define and explore the necessary conditions for NGS implementation into routine clinical care to enable patient access, identify specific challenges in achieving them, and make short- and long-term recommendations. The main challenges identified relate to the demand for NGS tests (governance, clinical standardization, and awareness and education) and supply of tests (equitable reimbursement, infrastructure for conducting and validating tests, and testing access driven by evidence generation). Recommendations made to resolve each of these challenges should aid multi-stakeholder collaboration between national and European initiatives, to complement, support, and mutually reinforce efforts to improve patient care.
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Affiliation(s)
- Denis Horgan
- European Alliance for Personalised Medicine, Avenue de l’Armee/Legerlaan 10, 1040 Brussels, Belgium
| | - Giuseppe Curigliano
- European Institute of Oncology, IRCCS, Via Giuseppe Ripamonti, 435, 20141 Milan, Italy; (G.C.); (E.M.)
- Department of Oncology and Hemato-Oncology, University of Milan, Via Festa del Perdono, 7, 20122 Milan, Italy
| | - Olaf Rieß
- Institute of Medical Genetics and Applied Genomics, University of Tuebingen, Calwerstrasse 7, 72070 Tuebingen, Germany;
| | - Paul Hofman
- Laboratory of Clinical and Experimental Pathology, University of Côte d’Azur, FHU OncoAge, Biobank BB-0033-00025, Pasteur Hospital, 30 Avenue de la voie Romaine, CEDEX 01, 06001 Nice, France;
| | - Reinhard Büttner
- Institute for Pathology, University Hospital Cologne, Kerpener Str. 62, 50937 Cologne, Germany;
| | - Pierfranco Conte
- The Veneto Institute of Oncology, IRCCS, Via Gattamelata, 64, 35128 Padua, Italy;
- Department of Surgical, Oncological and Gastroenterological Sciences, University of Padua, Via Giustiniani, 2, 35124 Padua, Italy
| | - Tanja Cufer
- Medical Faculty, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia;
| | - William M. Gallagher
- School of Biomolecular and Biomedical Science, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland;
| | - Nadia Georges
- Exact Sciences, Quai du Seujet 10, 1201 Geneva, Switzerland;
| | - Keith Kerr
- School of Medicine and Dentistry, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK;
| | - Frédérique Penault-Llorca
- Centre Jean Perrin, 58, Rue Montalembert, CEDEX 01, 63011 Clermont-Ferrand, France;
- Department of Pathology, University of Clermont Auvergne, INSERM U1240, 49 bd François Mitterrand, CS 60032, 63001 Clermont-Ferrand, France
| | - Ken Mastris
- Europa Uomo, Leopoldstraat 34, 2000 Antwerp, Belgium;
| | - Carla Pinto
- AstraZeneca, Rua Humberto Madeira 7, 1800 Oeiras, Portugal;
| | - Jan Van Meerbeeck
- Antwerp University Hospital, University of Antwerp, Wijlrijkstraat 10, 2650 Edegem, Belgium;
| | - Elisabetta Munzone
- European Institute of Oncology, IRCCS, Via Giuseppe Ripamonti, 435, 20141 Milan, Italy; (G.C.); (E.M.)
| | - Marlene Thomas
- F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, 4070 Basel, Switzerland;
| | - Sonia Ujupan
- Eli Lilly and Company, Rue du Marquis 1, Markiesstraat, 1000 Brussels, Belgium;
| | - Gilad W. Vainer
- Department of Pathology, Hadassah Hebrew-University Medical Center, Hebrew University of Jerusalem, Kalman Ya’akov Man St, Jerusalem 91905, Israel;
| | - Janna-Lisa Velthaus
- University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20251 Hamburg, Germany;
| | - Fabrice André
- Institut Gustave Roussy, 114 Rue Edouard Vaillant, 94805 Villejuif, France;
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Vanderpoel J, Stevens AL, Emond B, Lafeuille MH, Hilts A, Lefebvre P, Morrison L. Total cost of testing for genomic alterations associated with next-generation sequencing versus polymerase chain reaction testing strategies among patients with metastatic non-small cell lung cancer. J Med Econ 2022; 25:457-468. [PMID: 35289703 DOI: 10.1080/13696998.2022.2053403] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND To assess the total cost of testing associated with next-generation sequencing (NGS) versus polymerase chain reaction (PCR) testing strategies among patients with metastatic non-small cell lung cancer (mNSCLC) from a Medicare and US commercial payer's perspective. MATERIALS AND METHODS A decision tree model considered testing for genomic alterations in EGFR, ALK, ROS1, BRAF, KRAS, MET, HER2, RET, NTRK1 among patients with newly diagnosed mNSCLC using (1) liquid or tissue biopsy NGS tests, (2) exclusionary mutation (KRAS) test followed by sequential PCR tests, (3) sequential PCR tests, or (4) hotspot panel PCR tests. The alteration test sequence followed clinical guideline recommendations. Inputs based on literature, expert opinion, or assumptions included prevalence of mNSCLC, proportion of patients using each testing strategy (50% NGS [90% tissue, 10% liquid], 10% exclusionary, 10% sequential, 30% hotspot), proportion testing positive for each genomic mutation, rebiopsy rates, and costs for testing and associated medical care. Time to appropriate targeted therapy initiation and total costs were calculated for NGS, each PCR testing strategy, and all PCR strategies combined. RESULTS Among a hypothetical plan of 1,000,000 members (75% commercial, 25% Medicare), 1,119 patients were estimated to have mNSCLC and be eligible for testing. Estimated mean time to appropriate targeted therapy was 2 weeks for NGS and 6 weeks for PCR (sequential: 9 weeks, exclusionary: 8 weeks, hotspot: 3 weeks). Mean per patient costs were $4,932 for NGS and $6,605 for PCR (exclusionary: $5,563, sequential: $6,263, hotspot: $7,066). Per patient costs were higher from a commercial perspective (NGS: $6,225; PCR: $8,430) relative to Medicare (NGS: $2,099; PCR: $2,646); nevertheless, NGS was the least costly testing strategy across plan types. CONCLUSION NGS was associated with the fastest time to appropriate targeted therapy initiation and lowest total cost of testing compared to PCR testing strategies for newly diagnosed patients with mNSCLC.
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Affiliation(s)
| | | | - Bruno Emond
- Analysis Group, Inc, Montréal, Québec, Canada
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Taslimi S, Brar K, Ellenbogen Y, Deng J, Hou W, Moraes FY, Glantz M, Zacharia BE, Tan A, Ahluwalia MS, Khasraw M, Zadeh G, Mansouri A. Comparative Efficacy of Systemic Agents for Brain Metastases From Non-Small-Cell Lung Cancer With an EGFR Mutation/ALK Rearrangement: A Systematic Review and Network Meta-Analysis. Front Oncol 2021; 11:739765. [PMID: 34950579 PMCID: PMC8691653 DOI: 10.3389/fonc.2021.739765] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 11/15/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Brain metastases (BM) from non-small-cell lung cancer (NSCLC) are frequent and carry significant morbidity, and current management options include varying local and systemic therapies. Here, we performed a systematic review and network meta-analysis to determine the ideal treatment regimen for NSCLC BMs with targetable EGFR-mutations/ALK-rearrangements. METHODS We searched MEDLINE, EMBASE, Web of Science, ClinicalTrials.gov, CENTRAL and references of key studies for randomized controlled trials (RCTs) published from inception until June 2020. Comparative RCTs including ≥10 patients were selected. We used a frequentist random-effects model for network meta-analysis (NMA) and assessed the certainty of evidence using the GRADE approach. Our primary outcome of interest was intracranial progression-free survival (iPFS). RESULTS We included 24 studies representing 19 trials with 1623 total patients. Targeted tyrosine kinase inhibitors (TKIs) significantly improved iPFS, with second-and third- generation TKIs showing the greatest benefit (HR=0.25, 95%CI 0.15-0.40). Overall PFS was also improved compared to conventional chemotherapy (HR=0.47, 95%CI 0.36-0.61). In EGFR-mutant patients, osimertinib showed the greatest benefit in iPFS (HR=0.32, 95%CI 0.15-0.69) compared to conventional chemotherapy, while gefitinib + chemotherapy showed the greatest overall PFS benefit (HR=0.26, 95%CI 0.10-0.70). All ALKi improved overall PFS compared to conventional chemotherapy, with alectinib having the greatest benefit (HR=0.13, 95%CI 0.07-0.24). CONCLUSIONS In patients with NSCLC BMs and EGFR/ALK mutations, targeted TKIs improve intracranial and overall PFS compared to conventional modalities such as chemotherapy, with greater efficacy seen using newer generations of TKIs. This data is important for treatment selection and patient counseling, and highlights areas for future RCT research. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=179060.
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Affiliation(s)
- Shervin Taslimi
- Division of Neurosurgery, Department of Surgery, Queen’s University, Kingston, ON, Canada
| | - Karanbir Brar
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Yosef Ellenbogen
- Division of Neurosurgery, Department of Surgery, Queen’s University, Kingston, ON, Canada
| | - Jiawen Deng
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Winston Hou
- Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
| | - Fabio Y. Moraes
- Department of Oncology, Queen’s University, Kingston, ON, Canada
| | - Michael Glantz
- Department of Neurosurgery, Penn State Health, Hershey, PA, United States
- Penn State Cancer Institute, Hershey, PA, United States
| | - Brad E. Zacharia
- Department of Neurosurgery, Penn State Health, Hershey, PA, United States
- Penn State Cancer Institute, Hershey, PA, United States
| | - Aaron Tan
- Division of Medical Oncology, National Cancer Center Singapore, Singapore, Singapore
| | - Manmeet S. Ahluwalia
- Rose Ella Burkhardt Brain Tumor and Neuro-Oncology Center, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, United States
- Department of Hematology/Oncology, Taussig Cancer Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Mustafa Khasraw
- The Preston Robert Tisch Brain Tumor Center, Duke University, Durham, NC, United States
| | - Gelareh Zadeh
- Division of Neurosurgery, Department of Surgery, Queen’s University, Kingston, ON, Canada
| | - Alireza Mansouri
- Department of Neurosurgery, Penn State Health, Hershey, PA, United States
- Penn State Cancer Institute, Hershey, PA, United States
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Pisapia P, Pepe F, Baggi A, Barberis M, Galvano A, Gristina V, Mastrilli F, Novello S, Pagni F, Pasini S, Perrone G, Righi D, Russo A, Troncone G, Malapelle U. Next generation diagnostic algorithm in non-small cell lung cancer predictive molecular pathology: The KWAY Italian multicenter cost evaluation study. Crit Rev Oncol Hematol 2021; 169:103525. [PMID: 34813925 DOI: 10.1016/j.critrevonc.2021.103525] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 10/20/2021] [Accepted: 10/20/2021] [Indexed: 12/21/2022] Open
Abstract
AIMS The KWAY project aims to investigate the economic sustainability of the up-front NGS technologies adoption in the analysis of clinically relevant molecular alterations in NSCLC patients. METHODS The diagnostic workflow and the related sustained costs of five Italian referral centers were assessed in four different evolving scenarios were analyzed. For each scenario, two alternative testing strategies were evaluated: the Maximized Standard strategy and the Maximized NGS strategy. RESULTS For each center, the robustness of obtained results was verified through a deterministic sensitivity analysis, observing the variation of total costs based on a variation of ±20 % of the input parameters and ensuring that results would present a consistent behavior compared to the original ones. CONCLUSIONS our project, highlighted that the adoption of NGS allows to save personnel time dedicated to testing activities and to reduce the overall cost of testing per patient.
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Affiliation(s)
- Pasquale Pisapia
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Francesco Pepe
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Anna Baggi
- Business Integration Partners (BIP), Life Sciences Division, Italy
| | - Massimo Barberis
- Unit of Histopathology and Molecular Diagnostics, Division of Pathology and Laboratory Medicine, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Antonio Galvano
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - Valerio Gristina
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - Fabrizio Mastrilli
- Medical Director, IEO, European Institute of Oncology, IRCCS, Milan, Italy
| | - Silvia Novello
- Department of Oncology, San Luigi Hospital, University of Turin, Orbassano, Italy
| | - Fabio Pagni
- Department of Pathology, University of Milan-Bicocca (UNIMIB), 20900, Monza, Italy
| | - Silvia Pasini
- Business Integration Partners (BIP), Life Sciences Division, Italy
| | - Giuseppe Perrone
- Predictive Molecular Diagnostic Division, Department of Pathology, Campus Bio-Medico, University of Rome, Italy
| | - Daniela Righi
- Predictive Molecular Diagnostic Division, Department of Pathology, Campus Bio-Medico, University of Rome, Italy
| | - Antonio Russo
- Department of Surgical, Oncological and Oral Sciences, University of Palermo, Palermo, Italy
| | - Giancarlo Troncone
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy.
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Bernicker EH, Xiao Y, Croix DA, Yang B, Abraham A, Redpath S, Engstrom-Melnyk J, Shah R, Allen TC. Understanding Factors Associated With Anaplastic Lymphoma Kinase Testing Delays in Patients With Non-Small Cell Lung Cancer in a Large Real-World Oncology Database. Arch Pathol Lab Med 2021; 146:975-983. [PMID: 34752598 DOI: 10.5858/arpa.2021-0029-oa] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2021] [Indexed: 11/06/2022]
Abstract
CONTEXT.— With multiple therapeutic options available for patients with advanced non-small cell lung cancer, the timely ordering and return of results to determine therapy are of critical importance. OBJECTIVE.— To assess factors impacting anaplastic lymphoma kinase (ALK) test ordering and time to result delivery. DESIGN.— A retrospective study using a de-identified electronic health record database was performed. Postdiagnosis ALK tests (n = 14 657) were analyzed from 14 197 patients with advanced non-small cell lung cancer diagnosed between January 2015 and May 2019. Time from non-small cell lung cancer diagnosis to ALK sample receipt in the laboratory was a surrogate for test order time. Test ordering was considered delayed if order time was more than 20 days. Turnaround time from sample received to test result was calculated and considered delayed if more than 10 days. Multivariable logistic regression was used to assess factors associated with order time and turnaround time delays. RESULTS.— Median ALK test order time was 15 days, and 36.4% (5342) of all 14 657 orders were delayed. Factors associated with delays were non-fluorescent in situ hybridization testing, send-out laboratories, testing prior to 2018, nonadenocarcinoma histology, and smoking history. Median turnaround time was 9 days, and 40.3% (5906) of all 14 657 test results were delayed. Non-fluorescent in situ hybridization testing, tissue sample, and orders combining ALK with other biomarkers were associated with delayed ALK result reporting. CONCLUSIONS.— This study provides a snapshot of real-world ALK test ordering and reporting time in US community practices. Multiple factors impacted both test ordering time and return of results, revealing opportunities for improvement. It is imperative that patients eligible for targeted therapy be identified in a timely fashion.
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Affiliation(s)
- Eric H Bernicker
- From the Cancer Center, Houston Methodist Hospital, Houston, Texas (Bernicker)
| | - Yan Xiao
- Data Services, Roche Information Solutions, Pleasanton, California (Xiao, Yang, Shah).,Xiao is now at Digital Health, AstraZeneca R&D, Beijing, China
| | - Denise A Croix
- Medical and Scientific Affairs, Roche Diagnostics Corporation, Indianapolis, Indiana (Croix, Redpath, Engstrom-Melnyk)
| | - Baiyu Yang
- Data Services, Roche Information Solutions, Pleasanton, California (Xiao, Yang, Shah)
| | - Anup Abraham
- Evidence Strategy, Genesis Research, Hoboken, New Jersey (Abraham)
| | - Stella Redpath
- Medical and Scientific Affairs, Roche Diagnostics Corporation, Indianapolis, Indiana (Croix, Redpath, Engstrom-Melnyk)
| | - Julia Engstrom-Melnyk
- Medical and Scientific Affairs, Roche Diagnostics Corporation, Indianapolis, Indiana (Croix, Redpath, Engstrom-Melnyk).,Engstrom-Melnyk is now at Medical Diagnostics, AstraZeneca, Gaithersburg, Maryland
| | - Roma Shah
- Data Services, Roche Information Solutions, Pleasanton, California (Xiao, Yang, Shah)
| | - Timothy Craig Allen
- the Department of Pathology, University of Mississippi Medical Center, Jackson (Allen)
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Zhao S, Zhang Z, Zhan J, Zhao X, Chen X, Xiao L, Wu K, Ma Y, Li M, Yang Y, Fang W, Zhao H, Zhang L. Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer. BMC Med 2021; 19:223. [PMID: 34592968 PMCID: PMC8485523 DOI: 10.1186/s12916-021-02089-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 08/06/2021] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND With the identification of new targetable drivers and the recent emergence of novel targeted drugs, using comprehensive genomic profiling in lieu of the routine testing for classic drivers in the clinical care for advanced NSCLC has been increasingly advocated. However, the key assumption justifying this practice, that comprehensive genomic profiling could lead to effective anticancer therapies and improve patient outcomes, remains unproved. METHODS Comprehensive genomic profiling was prospectively applied in 1564 advanced NSCLC patients to identify potentially actionable genomic alterations. Patients were assigned to genotype-matched targeted therapies or nonmatched therapies based on the profiling results. Its utility in directing treatments was determined by the proportion of patients receiving genotype-matched targeted therapies and the proportion of patients being enrolled into genotype-matched clinical trials. Its impacts on patient outcomes were assessed by comparing progression-free survival (PFS) and overall survival (OS) between patients who received a genotype-matched and nonmatched therapy. RESULTS From October 2016 to October 2019, tumor genomic profiles were established in 1166 patients, leading to a matched targeted therapy in 37.7% (n = 440) and a genotype-matched trial enrollment in 20.9% of patients (n = 244). Potentially actionable alterations were detected in 781 patients (67.0%). For these patients, a genomic profiling-directed matched therapy significantly improved PFS (9.0 months vs 4.9 months, P < 0.001) and OS (3.9 years vs 2.5 years, P < 0.001) compared with a nonmatched therapy. Excluding patients with standard targeted therapies, genomic profiling led to a matched targeted therapy in 16.7% (n = 24) and a matched trial enrollment in 11.2% (n = 16) of patients. No PFS (4.7 months vs 4.6 months, P = 0.530) or OS (1.9 years vs 2.4 years, P = 0.238) benefit was observed with the use of genotype-matched targeted therapies in this population. CONCLUSIONS Comprehensive genomic profiling is of clinical utility in assisting treatment selection, facilitating clinical trial enrollment, and improving patient outcomes in advanced NSCLC. However, for patients carrying alterations without standard-of-care targeted drugs, the interpretation of genomic profiling results should be careful given the low likelihood of benefit from the investigational or off-label use of targeted therapies in this population in the current treatment landscape. TRIAL REGISTRATION ChiCTR1900027582 (retrospectively registered on 19 November 2019).
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Affiliation(s)
- Shen Zhao
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Zhonghan Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Jianhua Zhan
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou, China
| | | | - Xinru Chen
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | | | - Kui Wu
- BGI-Shenzhen, Shenzhen, China
- Guangdong Provincial Key Laboratory of Human Disease Genomics, Shenzhen Key Laboratory of Genomics, BGI-Shenzhen, Shenzhen, China
| | - Yuxiang Ma
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
- Department of Clinical Research, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
| | - Mengzhen Li
- MyGene Diagnostics Co., Ltd., Guangzhou, China
| | - Yunpeng Yang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Wenfeng Fang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangzhou, China
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Hongyun Zhao
- State Key Laboratory of Oncology in South China, Guangzhou, China.
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
- Department of Clinical Research, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
| | - Li Zhang
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, 651 Dongfeng East Road, Guangzhou, 510060, China.
- State Key Laboratory of Oncology in South China, Guangzhou, China.
- Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
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Makarem M, Ezeife DA, Smith AC, Li JJN, Law JH, Tsao MS, Leighl NB. Reflex ROS1 IHC Screening with FISH Confirmation for Advanced Non-Small Cell Lung Cancer-A Cost-Efficient Strategy in a Public Healthcare System. Curr Oncol 2021; 28:3268-3279. [PMID: 34449580 PMCID: PMC8395515 DOI: 10.3390/curroncol28050284] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 08/17/2021] [Accepted: 08/19/2021] [Indexed: 12/11/2022] Open
Abstract
ROS1 rearrangements are identified in 1-2% of lung adenocarcinoma cases, and reflex testing is guideline-recommended. We developed a decision model for population-based ROS1 testing from a Canadian public healthcare perspective to determine the strategy that optimized detection of true-positive (TP) cases while minimizing costs and turnaround time (TAT). Eight diagnostic strategies were compared, including reflex single gene testing via immunohistochemistry (IHC) screening, fluorescence in-situ hybridization (FISH), next-generation sequencing (NGS), and biomarker-informed (EGFR/ALK/KRAS wildtype) testing initiated by pathologists and clinician-initiated strategies. Reflex IHC screening with FISH confirmation of positive cases yielded the best results for TAT, TP detection rate, and cost. IHC screening saved CAD 1,000,000 versus reflex FISH testing. NGS was the costliest reflex strategy. Biomarker-informed testing was cost-efficient but delayed TAT. Clinician-initiated testing was the least costly but resulted in long TAT and missed TP cases, highlighting the importance of reflex testing. Thus, reflex IHC screening for ROS1 with FISH confirmation provides a cost-efficient strategy with short TAT and maximizes the number of TP cases detected.
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Affiliation(s)
- Maisam Makarem
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; (M.M.); (A.C.S.); (J.J.N.L.); (J.H.L.); (M.-S.T.)
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Doreen A. Ezeife
- Tom Baker Cancer Centre, University of Calgary, Calgary, AB T2N 4N2, Canada;
| | - Adam C. Smith
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; (M.M.); (A.C.S.); (J.J.N.L.); (J.H.L.); (M.-S.T.)
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Janice J. N. Li
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; (M.M.); (A.C.S.); (J.J.N.L.); (J.H.L.); (M.-S.T.)
| | - Jennifer H. Law
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; (M.M.); (A.C.S.); (J.J.N.L.); (J.H.L.); (M.-S.T.)
| | - Ming-Sound Tsao
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; (M.M.); (A.C.S.); (J.J.N.L.); (J.H.L.); (M.-S.T.)
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5G 2C4, Canada
| | - Natasha B. Leighl
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 2C1, Canada; (M.M.); (A.C.S.); (J.J.N.L.); (J.H.L.); (M.-S.T.)
- Department of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
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Hofman P. EGFR Status Assessment for Better Care of Early Stage Non-Small Cell Lung Carcinoma: What Is Changing in the Daily Practice of Pathologists? Cells 2021; 10:2157. [PMID: 34440926 PMCID: PMC8392580 DOI: 10.3390/cells10082157] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/18/2021] [Accepted: 08/19/2021] [Indexed: 02/08/2023] Open
Abstract
The recent emergence of novel neoadjuvant and/or adjuvant therapies for early stage (I-IIIA) non-small cell lung carcinoma (NSCLC), mainly tyrosine kinase inhibitors (TKIs) targeting EGFR mutations and immunotherapy or chemo-immunotherapy, has suddenly required the evaluation of biomarkers predictive of the efficacy of different treatments in these patients. Currently, the choice of one or another of these treatments mainly depends on the results of immunohistochemistry for PD-L1 and of the status of EGFR and ALK. This new development has led to the setup of different analyses for clinical and molecular pathology laboratories, which have had to rapidly integrate a number of new challenges into daily practice and to establish new organization for decision making. This review outlines the impact of the management of biological samples in laboratories and discusses perspectives for pathologists within the framework of EGFR TKIs in early stage NSCLC.
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Affiliation(s)
- Paul Hofman
- Laboratory of Clinical and Experimental Pathology, CHU Nice, FHU OncoAge, Pasteur Hospital, Université Côte d’Azur, 06108 Nice, France; ; Tel.: +33-492-038-855; Fax: +33-492-8850
- CHU Nice, FHU OncoAge, Hospital-Integrated Biobank BB-0033-00025, Université Côte d’Azur, 06000 Nice, France
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Nadal E, Bautista D, Cabezón-Gutiérrez L, Ortega AL, Torres H, Carcedo D, Ruiz de Alda L, Garcia JF, Vieitez P, Rojo F. Clinical and economic impact of current ALK rearrangement testing in Spain compared with a hypothetical no-testing scenario. BMC Cancer 2021; 21:689. [PMID: 34112097 PMCID: PMC8194132 DOI: 10.1186/s12885-021-08407-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2021] [Accepted: 05/25/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Currently biomarkers play an essential role in diagnosis, treatment, and management of cancer. In non-small cell lung cancer (NSCLC) determination of biomarkers such as ALK, EGFR, ROS1 or PD-L1 is mandatory for an adequate treatment decision. The aim of this study is to determine the clinical and economic impact of current anaplastic lymphoma kinase testing scenario in Spain. METHODS A joint model, composed by decision-tree and Markov models, was developed to estimate the long-term health outcomes and costs of NSCLC patients, by comparing the current testing scenario for ALK in Spain vs a hypothetical no-testing. The current distribution of testing strategies for ALK determination and their sensitivity and specificity data were obtained from the literature. Treatment allocation based on the molecular testing result were defined by a panel of Spanish experts. To assess long-term effects of each treatment, 3-states Markov models were developed, where progression-free survival and overall survival curves were extrapolated using exponential models. Medical direct costs (expressed in €, 2019) were included. A lifetime horizon was used and a discount rate of 3% was applied for both costs and health effects. Several sensitivity analyses, both deterministic and probabilistic, were performed in order test the robustness of the analysis. RESULTS We estimated a target population of 7628 NSCLC patients, including those with non-squamous histology and those with squamous carcinomas who were never smokers. Over the lifetime horizon, the current ALK testing scenario produced additional 5060 and 3906 life-years and quality-adjusted life-years (QALY), respectively, compared with the no-testing scenario. Total direct costs were increased up to € 51,319,053 for testing scenario. The incremental cost-effectiveness ratio was 10,142 €/QALY. The sensitivity analyses carried out confirmed the robustness of the base-case results, being the treatment allocation and the test accuracy (sensitivity and specificity data) the key drivers of the model. CONCLUSIONS ALK testing in advanced NSCLC patients, non-squamous and never-smoker squamous, provides more than 3000 QALYs in Spain over a lifetime horizon. Comparing this gain in health outcomes with the incremental costs, the resulting incremental cost-effectiveness ratio reinforces that testing non-squamous and never-smoker squamous NSCLC is a cost-effective strategy in Spain.
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Affiliation(s)
- Ernest Nadal
- Catalan Institute of Oncology, Hospital Duran i Reynals, IDIBELL, L'Hospitalet de Llobregat, Spain
| | | | | | | | - Héctor Torres
- Hospital Universitario Central de Asturias, Oviedo, Spain
| | | | | | | | | | - Federico Rojo
- Hospital Universitario Fundacion Jimenez Diaz - CIBERONC, Madrid, Spain
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Nishimura S, Sugimoto A, Kushiyama S, Togano S, Kuroda K, Yamamoto Y, Yamauchi M, Sumi T, Kaneda H, Kawaguchi T, Kato M, Tagami M, Oebisu N, Hoshi M, Kimura K, Kubo S, Muguruma K, Takashima T, Ohira M, Yashiro M. Clinical benefit for clinical sequencing using cancer panel testing. PLoS One 2021; 16:e0247090. [PMID: 33635883 PMCID: PMC7909652 DOI: 10.1371/journal.pone.0247090] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 01/25/2021] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Clinical sequencing using a panel of genes has recently been applied worldwide for patients with refractory solid tumors, but the significance of clinical sequencing using gene panel testing remains uncertain. Here we sought to clarify the feasibility and utility of clinical sequencing in the treatment of refractory tumors at our hospital. METHODS A total of 39 patients with advanced solid tumors treated at our hospital between 2018 and 2020 were enrolled in the clinical sequencing. Among them, we identified 36 patients whose tissue samples were of suitable quality for clinical sequencing, and we analyzed the genomic profiles of these tumors. RESULTS Pathogenic alterations were detected in 28 (78%) of the 36 patients. The most common mutation was TP53 (55%), followed by KRAS (22%), and the highest frequency of gene amplification was ERBB2 (17%). Nine of the 36 patients were identified as candidates for novel molecular-targeted therapy based on their actionable gene alterations, but only one case ended up receiving novel targeted therapy following the genetic tests. CONCLUSIONS Our current results suggested that clinical sequencing might be useful for the detection of pathogenic alterations and the management of additional cancer treatment. However, molecular target based on actionable genomic alteration does not always bridge to subsequent therapy due to clinical deterioration, refusal for unapproved drug, and complexity of clinical trial access. Both improved optimal timing of clinical sequencing and a consensus about its off-label use might help patients receive greater benefit from clinical sequencing.
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Affiliation(s)
- Sadaaki Nishimura
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Molecular Oncology and Therapeutics, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Center for Translational Research, Osaka City University Graduate School of Medicine, Osaka, Japan
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Atsushi Sugimoto
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Molecular Oncology and Therapeutics, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Center for Translational Research, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shuhei Kushiyama
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Molecular Oncology and Therapeutics, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Center for Translational Research, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shingo Togano
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Molecular Oncology and Therapeutics, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Center for Translational Research, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kenji Kuroda
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Molecular Oncology and Therapeutics, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Center for Translational Research, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Yurie Yamamoto
- Molecular Oncology and Therapeutics, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Center for Translational Research, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Makoto Yamauchi
- Department of Obstetrics and Gynecology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Toshiyuki Sumi
- Department of Obstetrics and Gynecology, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Genomic Center, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Hiroyasu Kaneda
- Department of Clinical Oncology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Tomoya Kawaguchi
- Department of Respiratory Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Minoru Kato
- Department of Urology, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Mizuki Tagami
- Department of Ophthalmology and Visual Sciences, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Naoto Oebisu
- Department of Orthopedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Manabu Hoshi
- Department of Orthopedic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kenjiro Kimura
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shoji Kubo
- Department of Hepato-Biliary-Pancreatic Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Kazuya Muguruma
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Tsutomu Takashima
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Department of Breast and Endocrine Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Masaichi Ohira
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Department of Breast and Endocrine Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Masakazu Yashiro
- Department of Gastroenterological Surgery, Osaka City University Graduate School of Medicine, Osaka, Japan
- Molecular Oncology and Therapeutics, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Center for Translational Research, Osaka City University Graduate School of Medicine, Osaka, Japan
- Cancer Genomic Center, Osaka City University Graduate School of Medicine, Osaka, Japan
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67
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Seoighe C, Bracken AP, Buckley P, Doran P, Green R, Healy S, Kavanagh D, Kenny E, Lawler M, Lowery M, Morris D, Morrissey D, O'Byrne JJ, Shields D, Smith O, Steward CA, Sweeney B, Kolch W. The future of genomics in Ireland - focus on genomics for health. HRB Open Res 2020; 3:89. [PMID: 33855271 PMCID: PMC7993626 DOI: 10.12688/hrbopenres.13187.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2020] [Indexed: 12/15/2022] Open
Abstract
Genomics is revolutionizing biomedical research, medicine and healthcare globally in academic, public and industry sectors alike. Concrete examples around the world show that huge benefits for patients, society and economy can be accrued through effective and responsible genomic research and clinical applications. Unfortunately, Ireland has fallen behind and needs to act now in order to catch up. Here, we identify key issues that have resulted in Ireland lagging behind, describe how genomics can benefit Ireland and its people and outline the measures needed to make genomics work for Ireland and Irish patients. There is now an urgent need for a national genomics strategy that enables an effective, collaborative, responsible, well-regulated, and patient centred environment where genome research and clinical genomics can thrive. We present eight recommendations that could be the pillars of a national genomics health strategy.
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Affiliation(s)
- Cathal Seoighe
- National University of Ireland Galway, Galway, H91 TK33, Ireland
| | | | | | - Peter Doran
- University College Dublin, Dublin, 4, Ireland
- Mater Misericordiae University Hospital, Dublin, 7, Ireland
| | - Robert Green
- Brigham Health, Broad Institute, Ariadne Labs, Harvard Medical School, Boston, MA, 02115, USA
| | - Sandra Healy
- National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - David Kavanagh
- Genuity Science (Ireland) Ltd., Dublin, D18 K7W4, Ireland
| | - Elaine Kenny
- Trinity College Dublin, Dublin, 2, Ireland
- ELDA Biotech, Trinity Translational Medicine Institute, St James's Hospital, Dublin, D08 W9RT, Ireland
| | - Mark Lawler
- Queen's University Belfast, Belfast, Northern Ireland, BT7 1NN, Ireland
| | - Maeve Lowery
- Trinity College Dublin, Dublin, 2, Ireland
- Saint James' Hospital, Dublin, D08 NHY1, Ireland
| | - Derek Morris
- National University of Ireland Galway, Galway, H91 TK33, Ireland
| | - Darrin Morrissey
- National Institute for Bioprocessing Research and Training, Blackrock, A94 X099, Ireland
| | | | | | - Owen Smith
- University College Dublin, Dublin, 4, Ireland
- Children’s Health Ireland, Crumlin, Dublin, D12 N512, Ireland
| | | | | | - Walter Kolch
- National University of Ireland Galway, Galway, H91 TK33, Ireland
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68
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Dagogo-Jack I, Lennerz JK. Personalized Diagnostic Workflows: The Next Wave of Precision Medicine in NSCLC. J Thorac Oncol 2020; 15:888-890. [PMID: 32471563 DOI: 10.1016/j.jtho.2020.03.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 03/20/2020] [Indexed: 01/09/2023]
Affiliation(s)
- Ibiayi Dagogo-Jack
- Department of Medicine and Cancer Center, Massachusetts General Hospital, Boston, Massachusetts.
| | - Jochen K Lennerz
- Center for Integrated Diagnostics, Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts
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Normanno N, Barberis M, De Marinis F, Gridelli C. Molecular and Genomic Profiling of Lung Cancer in the Era of Precision Medicine: A Position Paper from the Italian Association of Thoracic Oncology (AIOT). Cancers (Basel) 2020; 12:E1627. [PMID: 32575424 PMCID: PMC7352587 DOI: 10.3390/cancers12061627] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 06/16/2020] [Accepted: 06/17/2020] [Indexed: 12/14/2022] Open
Abstract
The identification of the optimal cancer treatment has become progressively more intricate for non-small-cell lung cancer (NSCLC) patients due to the multitude of options available. The testing of biomarkers to predict clinical responses to therapies is pivotal to stratify the patients based on the molecular features of their tumors. The number of actionable genetic alterations to be tested is increasing together with the comprehension of the molecular mechanisms underlying tumor growth and development. The possibility of using next generation sequencing-based approaches enhanced the acquisition of genetic data with potential clinical usefulness, and favored the integration of precision medicine in clinical practice. The availability of targeted sequencing panels that cover genetic alterations in hundreds of genes allows the performance of a comprehensive genomic profiling (CGP) of lung tumors. However, different issues still need to be solved, from the tissue needed for next generation sequencing analysis, to the choice of the test and its interpretation in the clinical context. This position paper from the Italian Association of Thoracic Oncology (AIOT) summarizes the results of a discussion from a Precision Medicine Panel meeting on the challenges to bringing CGP and, therefore, precision medicine into the daily clinical practice.
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Affiliation(s)
- Nicola Normanno
- Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori, “Fondazione G. Pascale”—IRCCS, 80131 Napoli, Italy
| | - Massimo Barberis
- Department of Pathology, European Institute of Oncology, 20141 Milan, Italy;
| | - Filippo De Marinis
- Division of Thoracic Oncology, European Institute of Oncology, IRCCS, 20141 Milan, Italy;
| | - Cesare Gridelli
- Division of Medical Oncology, “S. G. Moscati” Hospital, 83100 Avellino, Italy;
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Tsao MS, Yatabe Y. Old Soldiers Never Die: Is There Still a Role for Immunohistochemistry in the Era of Next-Generation Sequencing Panel Testing? J Thorac Oncol 2020; 14:2035-2038. [PMID: 31757371 DOI: 10.1016/j.jtho.2019.09.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 09/11/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Ming Sound Tsao
- Laboratory Medicine Program, Department of Pathology, University Health Network, Princess Margaret Cancer Centre and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
| | - Yasushi Yatabe
- Department of Diagnostic Pathology, National Cancer Center, Tokyo, Japan
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71
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Chougule A, Kapoor A, Noronha V, Patil V, Menon N, Joshi A, Chandrani P, Kumar R, Talreja V, D'Souza H, Prabhash K. Authors' reply to Batra et al., Chadha et al., and Deb et al. CANCER RESEARCH, STATISTICS, AND TREATMENT 2020. [DOI: 10.4103/crst.crst_47_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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72
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Remon J, Lopes G, Camps C. How sustainable are new treatment strategies for NSCLC? THE LANCET RESPIRATORY MEDICINE 2019; 7:733-735. [DOI: 10.1016/s2213-2600(19)30184-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 05/15/2019] [Indexed: 01/28/2023]
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