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Vanni I, Pastorino L, Andreotti V, Comandini D, Fornarini G, Grassi M, Puccini A, Tanda ET, Pastorino A, Martelli V, Mastracci L, Grillo F, Cabiddu F, Guadagno A, Coco S, Allavena E, Barbero F, Bruno W, Dalmasso B, Bellomo SE, Marchiò C, Spagnolo F, Sciallero S, Berrino E, Ghiorzo P. Combining germline, tissue and liquid biopsy analysis by comprehensive genomic profiling to improve the yield of actionable variants in a real-world cancer cohort. J Transl Med 2024; 22:462. [PMID: 38750555 PMCID: PMC11097509 DOI: 10.1186/s12967-024-05227-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 04/22/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Comprehensive next-generation sequencing is widely used for precision oncology and precision prevention approaches. We aimed to determine the yield of actionable gene variants, the capacity to uncover hereditary predisposition and liquid biopsy appropriateness instead of, or in addition to, tumor tissue analysis, in a real-world cohort of cancer patients, who may benefit the most from comprehensive genomic profiling. METHODS Seventy-eight matched germline/tumor tissue/liquid biopsy DNA and RNA samples were profiled using the Hereditary Cancer Panel (germline) and the TruSight Oncology 500 panel (tumor tissue/cfDNA) from 23 patients consecutively enrolled at our center according to at least one of the following criteria: no available therapeutic options; long responding patients potentially fit for other therapies; rare tumor; suspected hereditary cancer; primary cancer with high metastatic potential; tumor of unknown primary origin. Variants were annotated for OncoKB and AMP/ASCO/CAP classification. RESULTS The overall yield of actionable somatic and germline variants was 57% (13/23 patients), and 43.5%, excluding variants previously identified by somatic or germline routine testing. The accuracy of tumor/cfDNA germline-focused analysis was demonstrated by overlapping results of germline testing. Five germline variants in BRCA1, VHL, CHEK1, ATM genes would have been missed without extended genomic profiling. A previously undetected BRAF p.V600E mutation was emblematic of the clinical utility of this approach in a patient with a liver undifferentiated embryonal sarcoma responsive to BRAF/MEK inhibition. CONCLUSIONS Our study confirms the clinical relevance of performing extended parallel tumor DNA and cfDNA testing to broaden therapeutic options, to longitudinally monitor cfDNA during patient treatment, and to uncover possible hereditary predisposition following tumor sequencing in patient care.
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Affiliation(s)
- I Vanni
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - L Pastorino
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
| | - V Andreotti
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - D Comandini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - G Fornarini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - M Grassi
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - A Puccini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - E T Tanda
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
- Medical Oncology Unit 2, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - A Pastorino
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - V Martelli
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - L Mastracci
- Pathology Unit, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, 16132, Genoa, Italy
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - F Grillo
- Pathology Unit, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, 16132, Genoa, Italy
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - F Cabiddu
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - A Guadagno
- Pathology Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - S Coco
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - E Allavena
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
| | - F Barbero
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - W Bruno
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy
| | - B Dalmasso
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - S E Bellomo
- Pathology Unit, Candiolo Cancer Institute, FPO - IRCCS, 10060, Candiolo, Turin, Italy
| | - C Marchiò
- Pathology Unit, Candiolo Cancer Institute, FPO - IRCCS, 10060, Candiolo, Turin, Italy
- Department of Medical Sciences, University of Torino, 10060, Turin, Italy
| | - F Spagnolo
- Medical Oncology Unit 2, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
- Plastic Surgery, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, 16132, Genoa, Italy
| | - S Sciallero
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy
| | - E Berrino
- Pathology Unit, Candiolo Cancer Institute, FPO - IRCCS, 10060, Candiolo, Turin, Italy
- Department of Medical Sciences, University of Torino, 10060, Turin, Italy
| | - P Ghiorzo
- Genetics of Rare Cancers, IRCCS Ospedale Policlinico San Martino, 16132, Genoa, Italy.
- Department of Internal Medicine and Medical Specialties (DiMI), University of Genoa, 16132, Genoa, Italy.
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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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Zazo S, Pérez‐Buira S, Carvajal N, Plaza‐Sánchez J, Manso R, Pérez‐González N, Dominguez C, Prieto‐Potin I, Rubio J, Dómine M, Lozano V, Mohedano P, Carcedo D, Carias R, Rojo F. Actionable mutational profiling in solid tumors using hybrid-capture-based next-generation sequencing in a real-world setting in Spain. Cancer Med 2024; 13:e6827. [PMID: 38213074 PMCID: PMC10905216 DOI: 10.1002/cam4.6827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/09/2023] [Accepted: 12/08/2023] [Indexed: 01/13/2024] Open
Abstract
OBJECTIVE This study aimed to describe the performance of a next-generation sequencing (NGS) panel for the detection of precise genomic alterations in cancer in Spanish clinical practice. The impact of tumor characteristics was evaluated on informative NGS and actionable mutation rates. MATERIALS AND METHODS A cross-sectional study was conducted at the Fundación Jiménez Díaz University Hospital (May 2021-March 2022) where molecular diagnostic of 537 Formalin-Fixed Paraffin-Embedded (FFPE) tissue samples of diverse solid tumors (lung, colorectal, melanoma, gastrointestinal stromal, among others) was performed using AVENIO Tumor Tissue Targeted Kit. A descriptive analysis of the features of all samples was carried out. Multivariable logistic analysis was conducted to assess the impact of sample characteristics on NGS performance defined by informative results rate (for all tumors and for lung tumors), and on actionable mutations rate (for lung tumors only). RESULTS AVENIO performance rate was 75.2% in all tumor samples and 75.3% in lung cancer samples, and the multivariable analysis showed that surgical specimens are most likely to provide informative results than diagnostic biopsies. Regarding the mutational findings, 727 pathogenic, likely pathogenic, or variant of unknown significance mutations were found in all tumor samples. Single nucleotide variant was the most common genomic alteration, both for all tumor samples (85.3% and 81.9% for all solid tumors and lung samples, respectively). In lung tumors, multivariable analysis showed that it is more likely to find actionable mutations from non-smokers and patients with adenocarcinoma, large cell, or undifferentiated histologies. CONCLUSION This is the largest cohort-level study in Spain to profile the analyses of biopsy samples of different tumors using NGS in routine clinical practice. Our findings showed that the use of NGS routinely provides good rates of informative results and can improve tumor characterization and identify a greater number of actionable mutations.
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Affiliation(s)
- Sandra Zazo
- Department of PathologyFundación Jiménez Díaz University HospitalMadridSpain
- IIS‐Fundación Jimenez DiazCenter for Biomedical Network Research on Cancer (CIBERONC)MadridSpain
| | - Sandra Pérez‐Buira
- Department of PathologyFundación Jiménez Díaz University HospitalMadridSpain
| | - Nerea Carvajal
- Department of PathologyFundación Jiménez Díaz University HospitalMadridSpain
| | | | - Rebeca Manso
- Department of PathologyFundación Jiménez Díaz University HospitalMadridSpain
| | | | - Carolina Dominguez
- IIS‐Fundación Jimenez DiazCenter for Biomedical Network Research on Cancer (CIBERONC)MadridSpain
| | - Iván Prieto‐Potin
- Department of PathologyFundación Jiménez Díaz University HospitalMadridSpain
| | - Jaime Rubio
- Medical Oncology DepartmentFundación Jiménez Díaz University HospitalMadridSpain
| | - Manuel Dómine
- IIS‐Fundación Jimenez DiazCenter for Biomedical Network Research on Cancer (CIBERONC)MadridSpain
- Medical Oncology DepartmentFundación Jiménez Díaz University HospitalMadridSpain
| | | | | | | | - Rafael Carias
- Department of PathologyFundación Jiménez Díaz University HospitalMadridSpain
| | - Federico Rojo
- Department of PathologyFundación Jiménez Díaz University HospitalMadridSpain
- IIS‐Fundación Jimenez DiazCenter for Biomedical Network Research on Cancer (CIBERONC)MadridSpain
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4
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Suehnholz SP, Nissan MH, Zhang H, Kundra R, Nandakumar S, Lu C, Carrero S, Dhaneshwar A, Fernandez N, Xu BW, Arcila ME, Zehir A, Syed A, Brannon AR, Rudolph JE, Paraiso E, Sabbatini PJ, Levine RL, Dogan A, Gao J, Ladanyi M, Drilon A, Berger MF, Solit DB, Schultz N, Chakravarty D. Quantifying the Expanding Landscape of Clinical Actionability for Patients with Cancer. Cancer Discov 2024; 14:49-65. [PMID: 37849038 PMCID: PMC10784742 DOI: 10.1158/2159-8290.cd-23-0467] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/18/2023] [Accepted: 10/02/2023] [Indexed: 10/19/2023]
Abstract
There is a continuing debate about the proportion of cancer patients that benefit from precision oncology, attributable in part to conflicting views as to which molecular alterations are clinically actionable. To quantify the expansion of clinical actionability since 2017, we annotated 47,271 solid tumors sequenced with the MSK-IMPACT clinical assay using two temporally distinct versions of the OncoKB knowledge base deployed 5 years apart. Between 2017 and 2022, we observed an increase from 8.9% to 31.6% in the fraction of tumors harboring a standard care (level 1 or 2) predictive biomarker of therapy response and an almost halving of tumors carrying nonactionable drivers (44.2% to 22.8%). In tumors with limited or no clinical actionability, TP53 (43.2%), KRAS (19.2%), and CDKN2A (12.2%) were the most frequently altered genes. SIGNIFICANCE Although clear progress has been made in expanding the availability of precision oncology-based treatment paradigms, our results suggest a continued unmet need for innovative therapeutic strategies, particularly for cancers with currently undruggable oncogenic drivers. See related commentary by Horak and Fröhling, p. 18. This article is featured in Selected Articles from This Issue, p. 5.
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Affiliation(s)
- Sarah P. Suehnholz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Moriah H. Nissan
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Hongxin Zhang
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ritika Kundra
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Subhiksha Nandakumar
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Calvin Lu
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Stephanie Carrero
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Amanda Dhaneshwar
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nicole Fernandez
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Benjamin W. Xu
- Department of Computer Science, Yale University, New Haven, Connecticut
| | - Maria E. Arcila
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Zehir
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Aijazuddin Syed
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - A. Rose Brannon
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Julia E. Rudolph
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Eder Paraiso
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Paul J. Sabbatini
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ross L. Levine
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jianjiong Gao
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Marc Ladanyi
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Alexander Drilon
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael F. Berger
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - David B. Solit
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nikolaus Schultz
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Debyani Chakravarty
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
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5
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Olsen S, Nakamura Y. Serial comprehensive genomic profiling by next-generation sequencing for patients with metastatic colorectal cancer. Cancer Sci 2024; 115:321-323. [PMID: 37950591 PMCID: PMC10823270 DOI: 10.1111/cas.16016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/17/2023] [Accepted: 10/28/2023] [Indexed: 11/12/2023] Open
Abstract
In a real‐world database of metastatic colorectal cancer (mCRC) in the United States, comprehensive genomic profiling (CGP) using plasma‐based next‐generation sequencing identified potentially actionable profiles for approximately one‐third of the patients with both the first test and again with a second test after disease progression, with around 60% of all patients tested receiving therapy consistent with the CGP results at each line of treatment. This suggests a role for CGP prior to more than one line of mCRC treatment.
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Affiliation(s)
- Steven Olsen
- Department of Clinical and Medical AffairsGuardant Health JapanTokyoJapan
| | - Yoshiaki Nakamura
- Department of Gastroenterology and Gastrointestinal OncologyNational Cancer Center Hospital EastChibaJapan
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Lin Y, Ho C, Hsu W, Liao W, Yang C, Yu C, Tsai T, Yang JC, Wu S, Hsu C, Hsieh M, Huang Y, Wu C, Shih J. Tissue or liquid rebiopsy? A prospective study for simultaneous tissue and liquid NGS after first-line EGFR inhibitor resistance in lung cancer. Cancer Med 2023; 13:e6870. [PMID: 38140788 PMCID: PMC10807591 DOI: 10.1002/cam4.6870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/28/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023] Open
Abstract
INTRODUCTION According to current International Association for the Study of Lung Cancer guideline, physicians may first use plasma cell-free DNA (cfDNA) methods to identify epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI)-resistant mechanisms (liquid rebiopsy) for lung cancer. Tissue rebiopsy is recommended if the plasma result is negative. However, this approach has not been evaluated prospectively using next-generation sequencing (NGS). METHODS We prospectively enrolled patients with lung cancer with first-line EGFR-TKI resistance who underwent tissue rebiopsy. The rebiopsied tissues and cfDNA were sequenced using targeted NGS, ACTDrug®+, and ACTMonitor®Lung simultaneously. The clinicopathological characteristics and treatment outcomes were analyzed. RESULTS Totally, 86 patients were enrolled. Twenty-six (30%) underwent tissue biopsy but the specimens were inadequate for NGS. Among the 60 patients with paired tissue and liquid rebiopsies, two-thirds (40/60) may still be targetable. T790M mutations were found in 29, including 14 (48%) only from tissue and 5 (17%) only from cfDNA. Twenty-four of them were treated with osimertinib, and progression-free survival was longer in patients without detectable T790M in cfDNA than in patients with detectable T790M in cfDNA (p = 0.02). For the 31 T790M-negative patients, there were six with mesenchymal-epithelial transition factor (MET) amplifications, four with ERBB2 amplifications, and one with CCDC6-RET fusion. One with MET amplification and one with ERBB2 amplification responded to subsequent MET and ERBB2 targeting agents respectively. CONCLUSIONS NGS after EGFR-TKI resistance may detect targetable drivers besides T790M. To do either liquid or tissue NGS only could miss patients with T790M. To do tissue and liquid NGS in parallel after EGFR-TKI resistance may find more patients with targetable cancers.
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Affiliation(s)
- Yen‐Ting Lin
- Graduate Institute of Clinical MedicineNational Taiwan University College of MedicineTaipeiTaiwan
- Department of MedicineNational Taiwan University Cancer CenterTaipeiTaiwan
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
| | - Chao‐Chi Ho
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
| | - Wei‐Hsun Hsu
- Department of Medical ResearchNational Taiwan University HospitalTaipeiTaiwan
| | - Wei‐Yu Liao
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
| | - Ching‐Yao Yang
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
| | - Chong‐Jen Yu
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
- Department of Internal MedicineNational Taiwan University Hospital Hsin‐Chu BranchHsin‐ChuTaiwan
| | - Tzu‐Hsiu Tsai
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
| | - James Chih‐Hsin Yang
- Department of Medical OncologyNational Taiwan University Cancer CenterTaipeiTaiwan
- Department of OncologyNational Taiwan University HospitalTaipeiTaiwan
- Graduate Institute of OncologyNational Taiwan University College of MedicineTaipeiTaiwan
| | - Shang‐Gin Wu
- Department of MedicineNational Taiwan University Cancer CenterTaipeiTaiwan
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
| | - Chia‐Lin Hsu
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
| | - Min‐Shu Hsieh
- Department of PathologyNational Taiwan University HospitalTaipeiTaiwan
- Department of PathologyNational Taiwan University Cancer CenterTaipeiTaiwan
| | - Yen‐Lin Huang
- Department of PathologyNational Taiwan University Cancer CenterTaipeiTaiwan
| | | | - Jin‐Yuan Shih
- Graduate Institute of Clinical MedicineNational Taiwan University College of MedicineTaipeiTaiwan
- Department of Internal MedicineNational Taiwan University Hospital and National Taiwan University College of MedicineTaipeiTaiwan
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