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Zhang J, Li Y, Huang W, Sun G, Ren H, Tang M. An ultrasensitive DNA-enhanced amplification method for detecting cfDNA drug-resistant mutations in non-small cell lung cancer with selective FEN-assisted degradation of dominant somatic fragments. Clin Chem Lab Med 2024; 0:cclm-2024-0614. [PMID: 39089988 DOI: 10.1515/cclm-2024-0614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 07/18/2024] [Indexed: 08/04/2024]
Abstract
OBJECTIVES Blood cell-free DNA (cfDNA) can be a new reliable tool for detecting epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) patients. However, the currently reported cfDNA assays have a limited role in detecting drug-resistant mutations due to their deficiencies in sensitivity, stability, or mutation detection rate. METHODS We developed an Archaeoglobus fulgidus-derived flap endonuclease (Afu FEN)-based DNA-enhanced amplification system of mutated cfDNA by designing a pair of hairpin probes to anneal with wild-type cfDNA to form two 5'-flaps, allowing for the specific cleavage of wild-type cfDNA by Afu FEN. When the dominant wild-type somatic cfDNA fragments were cleaved by structure-recognition-specific Afu FEN, the proportion of mutated cfDNA in the reaction system was greatly enriched. As the amount of mutated cfDNA in the system was further increased by PCR amplification, the mutation status could be easily detected through first-generation sequencing. RESULTS In a mixture of synthetic wild-type and T790M EGFR DNA fragments, our new assay still could detect T790M mutation at the fg level with remarkably high sensitivity. We also tested its performance in detecting low variant allele frequency (VAF) mutations in clinical samples from NSCLC patients. The plasma cfDNA samples with low VAF (0.1 and 0.5 %) could be easily detected by DNA-enhanced amplification. CONCLUSIONS This system with enhanced amplification of mutated cfDNA is an effective tool used for the early screening and individualized targeted therapy of NSCLC by providing a rapid, sensitive, and economical way for the detection of drug-resistant mutations in tumors.
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Affiliation(s)
- Junhua Zhang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 117555 Beijing Hospital/National Center of Gerontology of National Health Commission , Beijing, P.R. China
| | - Yifei Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Wei Huang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 117555 Beijing Hospital/National Center of Gerontology of National Health Commission , Beijing, P.R. China
| | - Gaoyuan Sun
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
| | - Hongjun Ren
- Advanced Research Institute and Department of Chemistry, Taizhou University, Jiaojiang 318000, P.R. China
| | - Min Tang
- Department of Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China
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Schouten RD, Schouten I, Schuurbiers MMF, van der Noort V, Damhuis RAM, van der Heijden EHFM, Burgers JA, Barlo NP, van Lindert ASR, Maas KW, van den Brand JJG, Smit AAJ, van Haarst JMW, van der Maat B, Schuuring E, Blaauwgeers H, Willems SM, Monkhorst K, van den Broek D, van den Heuvel MM. Optimising primary molecular profiling in non-small cell lung cancer. PLoS One 2024; 19:e0290939. [PMID: 39083479 PMCID: PMC11290658 DOI: 10.1371/journal.pone.0290939] [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: 08/18/2023] [Accepted: 05/02/2024] [Indexed: 08/02/2024] Open
Abstract
INTRODUCTION Molecular profiling of NSCLC is essential for optimising treatment decisions, but often incomplete. We assessed the efficacy of protocolised molecular profiling in the current standard-of-care (SoC) in a prospective observational study in the Netherlands and measured the effect of providing standardised diagnostic procedures. We also explored the potential of plasma-based molecular profiling in the primary diagnostic setting. METHODS This multi-centre prospective study was designed to explore the performance of current clinical practice during the run-in phase using local SoC tissue profiling procedures. The subsequent phase was designed to investigate the extent to which comprehensive molecular profiling (CMP) can be maximized by protocolising tumour profiling. Successful molecular profiling was defined as completion of at least EGFR and ALK testing. Additionally, PD-L1 tumour proportions scores were explored. Lastly, the additional value of centralised plasma-based testing for EGFR and KRAS mutations using droplet digital PCR was evaluated. RESULTS Total accrual was 878 patients, 22.0% had squamous cell carcinoma and 78.0% had non-squamous NSCLC. Stage I-III was seen in 54.0%, stage IV in 46.0%. Profiling of EGFR and ALK was performed in 69.9% of 136 patients included in the run-in phase, significantly more than real-world data estimates of 55% (p<0.001). Protocolised molecular profiling increased the rate to 77.0% (p = 0.049). EGFR and ALK profiling rates increased from 77.9% to 82.1% in non-squamous NSCLC and from 43.8% to 57.5% in squamous NSCLC. Plasma-based testing was feasible in 98.4% and identified oncogenic driver mutations in 7.1% of patients for whom tissue profiling was unfeasible. CONCLUSION This study shows a high success rate of tissue-based molecular profiling that was significantly improved by a protocolised approach. Tissue-based profiling remains unfeasible for a substantial proportion of patients. Combined analysis of tumour tissue and circulating tumour DNA is a promising approach to allow adequate molecular profiling of more patients.
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Affiliation(s)
- R. D. Schouten
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - I. Schouten
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - M. M. F. Schuurbiers
- Department of Pulmonology, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - V. van der Noort
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - R. A. M. Damhuis
- Integraal Kankercentrum Nederland (IKNL), Utrecht, The Netherlands
| | | | - J. A. Burgers
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - N. P. Barlo
- Pulmonology, Noordwest Ziekenhuis Groep, Alkmaar, The Netherlands
| | - A. S. R. van Lindert
- Department of Pulmonology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - K. W. Maas
- Department of Pulmonology, Haaglanden Medical Centre, The Hague, The Netherlands
| | | | - A. A. J. Smit
- Department of Pulmonology, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands
| | | | - B. van der Maat
- Department of Pulmonology, Flevoziekenhuis, Almere, The Netherlands
| | - E. Schuuring
- Department of Pathology, University Medical Centre Groningen, Groningen, The Netherlands
| | - H. Blaauwgeers
- Department of Pathology, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands
| | - S. M. Willems
- Department of Pathology, University Medical Centre Groningen, Groningen, The Netherlands
- Department of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - K. Monkhorst
- Department of Pathology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - D. van den Broek
- Department of Clinical Chemistry, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - M. M. van den Heuvel
- Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Pulmonology, Radboud University Medical Centre, Nijmegen, The Netherlands
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Xu Z, Li Y, Wang L, Hao X, Ying J, Li J, Xing P. Efficacy of third-generation epidermal growth factor receptor-tyrosine kinase inhibitors in advanced NSCLC with different T790M statuses tested via digital droplet polymerase chain reaction ddPCR and next-generation sequencing. Expert Rev Anticancer Ther 2024; 24:183-192. [PMID: 38526910 DOI: 10.1080/14737140.2024.2334807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 02/27/2024] [Indexed: 03/27/2024]
Abstract
OBJECTIVES We hypothesize that digital droplet polymerase chain reaction (ddPCR) would optimize the treatment strategies in epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) relapsed patients. In this study, we compared the efficacy of third-generation TKIs with various T790M statuses via ddPCR and next-generation sequencing (NGS). METHODS NGS was performed on blood samples of patients progressed from previous EGFR-TKIs for resistance mechanism. T790M-negative patients received further liquid biopsy using ddPCR for T790M detection. RESULTS A cohort of 40 patients were enrolled, with 30.0% (12/40) T790M-positive via NGS (Group A). In another 28 T790M-negative patients by NGS, 11 (39.3%) were T790M-positive (Group B) and 17 (60.7%) were T790M-negative (Group C) via ddPCR. A relatively longer progression-free survival (PFS) was observed in group A (NR) and group B (10.0 months, 95% CI 7.040-12.889) than in group C (7.0 months, 95% CI 0.000-15.219), with no significant difference across all three groups (p = 0.196), or between group B and C (p = 0.412). EGFR-sensitive mutation correlated with inferior PFS (p = 0.041) and ORR (p = 0.326), and a significantly lower DCR (p = 0.033) in T790M-negative patients via NGS (n = 28). CONCLUSION This study indicates that ddPCR may contribute as a supplement to NGS in liquid biopsies for T790M detection in EGFR-TKIs relapsed patients and help to optimize the treatment strategies, especially for those without coexistence of EGFR-sensitive mutation. TRIAL REGISTRATION www.clinicaltrials.gov identifier is NCT05458726.
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Affiliation(s)
- Ziyi Xu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yan Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lin Wang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuezhi Hao
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Junling Li
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Puyuan Xing
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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4
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Guo Q, Wang L, Liang X, Zhao M, Huang X, Xu W, Lou J, Qiao L. Comparative analysis of QS3D versus droplet digital PCR for quantitative measures of EGFR T790M mutation from identical plasma. Heliyon 2022; 8:e11339. [PMID: 36387507 PMCID: PMC9647353 DOI: 10.1016/j.heliyon.2022.e11339] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 07/07/2022] [Accepted: 10/25/2022] [Indexed: 11/09/2022] Open
Abstract
Objectives The capacity of QuantStudio™ 3D (QS3D) and droplet digital PCR (dPCR) for the detection of plasma Epidermal Growth Factor Receptor (EGFR) mutations have been widely reported. Few comparative studies on the quantitative test of the identical DNA material, however, are carried out. Here we compared the performance of the two methods in detecting EGFR T790M mutation in cell-free DNA (cfDNA) from the same lung cancer patients. Methods We recruited 72 non-small cell lung cancer (NSCLC) patients who initially respond to tyrosine kinase inhibitor treatment but subsequently developed resistance. Two tubes of 10mL anticoagulant blood were collected and cfDNA was isolated from plasma. Identical cfDNA samples were analyzed for T790M mutation using QS3D and droplet dPCR in parallel. Results T790M mutation was detected in 15 and 21 cfDNA samples by QS3D and droplet digital PCR, respectively. The 6 discordant samples showed low mutation abundance (∼0.1%) and the discrepancy is caused by the stricter threshold settings for QS3D dPCR. The overall agreement between the two methods was 91.7% (66/72). The median allele frequencies for QS3D dPCR and droplet dPCR to detect T790M mutation was 2.01% and 2.62%, respectively. There was no significance in mutation abundance detected by both methods. Both methods are highly correlated with allele frequencies and copy numbers in T790M wild type and mutant, with R2 of 0.98, 0.92 and 0.95, respectively. Conclusion Our study demonstrated that QS3D dPCR are highly consistent with droplet PCR for quantitative determination of EGFR T790M mutation in plasma cfDNA.
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Kapeleris J, Ebrahimi Warkiani M, Kulasinghe A, Vela I, Kenny L, Ladwa R, O'Byrne K, Punyadeera C. Clinical Applications of Circulating Tumour Cells and Circulating Tumour DNA in Non-Small Cell Lung Cancer-An Update. Front Oncol 2022; 12:859152. [PMID: 35372000 PMCID: PMC8965052 DOI: 10.3389/fonc.2022.859152] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/14/2022] [Indexed: 12/14/2022] Open
Abstract
Despite efforts to improve earlier diagnosis of non-small cell lung cancer (NSCLC), most patients present with advanced stage disease, which is often associated with poor survival outcomes with only 15% surviving for 5 years from their diagnosis. Tumour tissue biopsy is the current mainstream for cancer diagnosis and prognosis in many parts of the world. However, due to tumour heterogeneity and accessibility issues, liquid biopsy is emerging as a game changer for both cancer diagnosis and prognosis. Liquid biopsy is the analysis of tumour-derived biomarkers in body fluids, which has remarkable advantages over the use of traditional tumour biopsy. Circulating tumour cells (CTCs) and circulating tumour DNA (ctDNA) are two main derivatives of liquid biopsy. CTC enumeration and molecular analysis enable monitoring of cancer progression, recurrence, and treatment response earlier than traditional biopsy through a minimally invasive liquid biopsy approach. CTC-derived ex-vivo cultures are essential to understanding CTC biology and their role in metastasis, provide a means for personalized drug testing, and guide treatment selection. Just like CTCs, ctDNA provides opportunity for screening, monitoring, treatment evaluation, and disease surveillance. We present an updated review highlighting the prognostic and therapeutic significance of CTCs and ctDNA in NSCLC.
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Affiliation(s)
- Joanna Kapeleris
- Saliva and Liquid Biopsy Translational Laboratory, The Centre for Biomedical Technologies, The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.,Translational Research Institute, Brisbane, QLD, Australia
| | | | - Arutha Kulasinghe
- Translational Research Institute, Brisbane, QLD, Australia.,The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Ian Vela
- The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.,Australian Prostate Cancer Research Centre, Queensland, Institute of Health and Biomedical Innovation, Queensland University of Technology, Princess Alexandra Hospital, Translational Research Institute, Brisbane, QLD, Australia.,Department of Urology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Liz Kenny
- School of Medicine, University of Queensland, Royal Brisbane and Women's Hospital, Central Integrated Regional Cancer Service, Queensland Health, Brisbane, QLD, Australia
| | - Rahul Ladwa
- Department of Medical Oncology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia.,School of Medicine, University of Queensland, Herston, QLD, Australia
| | - Kenneth O'Byrne
- Translational Research Institute, Brisbane, QLD, Australia.,Department of Medical Oncology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Chamindie Punyadeera
- Saliva and Liquid Biopsy Translational Laboratory, The Centre for Biomedical Technologies, The School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.,Translational Research Institute, Brisbane, QLD, Australia.,Saliva and Liquid Biopsy Translational Laboratory, Griffith Institute for Drug Discovery and Menzies Health Institute Queensland, Griffith University, Nathan, QLD, Australia
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6
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Xu J, Pu Y, Lin R, Xiao S, Fu Y, Wang T. PEAC: An Ultrasensitive and Cost-Effective MRD Detection System in Non-small Cell Lung Cancer Using Plasma Specimen. Front Med (Lausanne) 2022; 9:822200. [PMID: 35308511 PMCID: PMC8928926 DOI: 10.3389/fmed.2022.822200] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/14/2022] [Indexed: 12/25/2022] Open
Abstract
Circulating tumor DNA (ctDNA), a tumor-derived fraction of cell-free DNA (cfDNA), has emerged as a promising marker in targeted therapy, immunotherapy, and minimal residual disease (MRD) monitoring in postsurgical patients. However, ctDNA level in early-stage cancers and postsurgical patients is very low, which posed many technical challenges to improve the detection rate and sensitivity, especially in the clinical practice of MRD detection. These challenges usually include insufficient DNA input amount, limit of detection (LOD), and high experimental costs. To resolve these challenges, we developed an ultrasensitive ctDNA MRD detection system in this study, namely PErsonalized Analysis of Cancer (PEAC), to simultaneously detect up to 37 mutations, which account for 70–80% non-small cell lung cancer (NSCLC) driver mutations from low plasma sample volume and enables LOD of 0.01% at a single-site level. We demonstrated the high performance achieved by PEAC on both cfDNA reference standards and clinical plasma samples from three NSCLC patient cohorts. For cfDNA reference standards, PEAC achieved a specificity of 99% and a sensitivity of 87% for the mutations at 0.01% allele fraction. In the second cohort, PEAC showed 100% concordance rate between ddPCR and Next-generation sequencing (NGS) among 29 samples. In the third cohort, 22 of 59 patients received EGFR TKI treatment. Among them, three in four patients identified low level actionable gene mutations only by PEAC had partial responses after targeted therapy, demonstrating high ctDNA detection ability of PEAC. Overall, the developed PEAC system can detect the majority of NSCLC driver mutations using 8–10 ml plasma samples, and has the advantages of high detection sensitivity and lower costs compared with the existing technologies such as ddPCR and NGS. These advantages make the PEAC system quite appropriate for ctDNA and MRD detection in early-stage NSCLC and postsurgical recurrence monitoring.
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Affiliation(s)
- Jianping Xu
- Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Peking Union Medical College, Beijing, China
- *Correspondence: Jianping Xu
| | - Yue Pu
- Department of Research and Development, Hangzhou Repugene Technology Co., Ltd., Hangzhou, China
| | - Rui Lin
- Department of Research and Development, Hangzhou Repugene Technology Co., Ltd., Hangzhou, China
| | - Shanshan Xiao
- Department of Research and Development, Hangzhou Repugene Technology Co., Ltd., Hangzhou, China
| | - Yingxue Fu
- Department of Research and Development, Hangzhou Repugene Technology Co., Ltd., Hangzhou, China
| | - Tao Wang
- Department of Research and Development, Hangzhou Repugene Technology Co., Ltd., Hangzhou, China
- Tao Wang
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7
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Stitz R, Buder A, Silye R, Baumgartner B, Pühringer F, Filipits M, Oberndorfer E, Heitzer E. Validation of a next-generation sequencing assay for the detection of EGFR mutations in cell-free circulating tumor DNA. Exp Mol Pathol 2021; 123:104685. [PMID: 34560086 DOI: 10.1016/j.yexmp.2021.104685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/06/2021] [Accepted: 09/17/2021] [Indexed: 11/27/2022]
Abstract
Detection of EGFR mutations from blood plasma represents a gentle, non-invasive alternative to rebiopsy and can therefore be used for therapy monitoring of non-small-cell lung cancer (NSCLC) patients. The aim of this project was to investigate whether the Reveal ctDNA™ 28 NGS assay (ArcherDX, Boulder, CO), has a comparable sensitivity and specificity to droplet digital PCR (ddPCR, gold-standard) and is therefore suitable for therapy monitoring of progressing lung cancer patients. First, we validated the NGS assay with a commercially available reference material (SeraCare, Massachusetts, US). Using an input of 22 ng, a sensitivity of 96% and a specificity of 100% could be achieved for variant allele frequencies (VAF) of 0.5%. For variants at a VAF of 0.1% the sensitivity was substantially reduced. Next, 28 plasma samples from 16 patients were analyzed and results were compared to existing ddPCR data. This comparative analysis of patient samples revealed a concordance of 91% between NGS and ddPCR. These results confirm that the Reveal ctDNA™ 28 NGS assay can be used for therapy monitoring of patients under TKI therapy. However, due to the slightly superior sensitivity of ddPCR, a combination of NGS (with broad coverage of a large number of genomic loci) and ddPCR (with targeted highly sensitive detection of specific mutations) might be the ideal approach.
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Affiliation(s)
- Regina Stitz
- Institute of Pathology, Salzkammergutklinikum Vöcklabruck, Vöcklabruck, Austria
| | - Anna Buder
- Institute of Cancer Research, Department of Medicine I, Comprehensive Cancer Center, Medical Center of Vienna, Vienna, Austria
| | - Rene Silye
- Institute of Pathology, Salzkammergutklinikum Vöcklabruck, Vöcklabruck, Austria
| | - Bernhard Baumgartner
- Department of Pulmonary Medicine, Salzkammergutklinikum Vöcklabruck, Vöcklabruck, Austria
| | - Franz Pühringer
- Institute of Pathology, Salzkammergutklinikum Vöcklabruck, Vöcklabruck, Austria
| | - Martin Filipits
- Institute of Cancer Research, Department of Medicine I, Comprehensive Cancer Center, Medical Center of Vienna, Vienna, Austria
| | - Eva Oberndorfer
- Institute of Pathology, Salzkammergutklinikum Vöcklabruck, Vöcklabruck, Austria
| | - Ellen Heitzer
- Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.
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Kothari P, Sauerhaft T, Bouvier N, Rodriguez-Sanchez MI, Shia J, Price A, Morjaria S, Gerstle JT, Shukla NN, Ortiz MV. Identification of a TP53 Deletion in an Undifferentiated Embryonal Sarcoma of the Liver Provides Clinically Relevant Longitudinal Detection of Circulating Tumor DNA. JCO Precis Oncol 2021; 5:PO.21.00102. [PMID: 34527851 PMCID: PMC8437221 DOI: 10.1200/po.21.00102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/19/2021] [Accepted: 07/30/2021] [Indexed: 11/20/2022] Open
Affiliation(s)
- Prachi Kothari
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Talia Sauerhaft
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nancy Bouvier
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Jinru Shia
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Anita Price
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sejal Morjaria
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - J Theodore Gerstle
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Neerav N Shukla
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michael V Ortiz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY
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Jensen SG, Epistolio S, Madsen CL, Kyneb MH, Riva A, Paganotti A, Barizzi J, Petersen RK, Børgesen M, Molinari F, Boldorini R, Lorenzen J, Sørensen E, Christensen UB, Høgdall E, Frattini M. A new sensitive and fast assay for the detection of EGFR mutations in liquid biopsies. PLoS One 2021; 16:e0253687. [PMID: 34166445 PMCID: PMC8224962 DOI: 10.1371/journal.pone.0253687] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 06/10/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND A major perspective for the use of circulating tumor DNA (ctDNA) in the clinical setting of non-small cell lung cancer (NSCLC) is expected as predictive factor for resistance and response to EGFR TKI therapy and, especially, as a non-invasive alternative to tissue biopsy. However, ctDNA is both highly fragmented and mostly low concentrated in plasma and serum. On this basis, it is important to use a platform characterized by high sensitivity and linear performance in the low concentration range. This motivated us to evaluate the newly developed and commercially available SensiScreen® EGFR Liquid assay platform (PentaBase) with regard to sensitivity, linearity, repeatability and accuracy and finally to compare it to our already implemented methods. The validation was made in three independent European laboratories using two cohorts on a total of 68 unique liquid biopsies. RESULTS Using artificial samples containing 1600 copies of WT DNA spiked with 50% - 0.1% of mutant copies across a seven-log dilution scale, we assessed the sensitivity, linearity, repeatability and accuracy for the p.T790M, p.L858R and exon 19 deletion assays of the SensiScreen® EGFR Liquid assay platform. The lowest value detectable ranged from 0.5% to 0.1% with R2≥0,97 indicating good linearity. High PCR efficiency was shown for all three assays. In 102 single PCRs each containing theoretical one copy of the mutant at initiating, assays showed repeatable positivity in 75.5% - 80.4% of reactions. At low ctDNA levels, as in plasma, the SensiScreen® EGFR Liquid assay platform showed better sensitivity than the Therascreen® EGFR platform (Qiagen) and equal performance to the ctEGFR Mutation Detection Kit (EntroGen) and the IOT® Oncomine cell-free nucleic acids assay (Thermo Fisher Scientific) with 100% concordance at the sequence level. CONCLUSION For profiling clinical plasma samples, characterized by low ctDNA abundance, the SensiScreen® EGFR Liquid assay is able to identify down to 1 copy of mutant alleles and with its high sensitivity, linearity and accuracy it may be a competitive platform of choice.
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Affiliation(s)
| | | | | | | | - Alice Riva
- Institute of Pathology, Locarno, Switzerland
| | - Alessia Paganotti
- Department of Pathology, ’Maggiore della Carità’ Hospital, Novara, Italy
| | | | | | | | | | - Renzo Boldorini
- Department of Pathology, ’Maggiore della Carità’ Hospital, Novara, Italy
- Department of Health Sciences, Universitá degli Studi del Piemonte Orientale "A. Avogadro", Novara, Italy
| | - Jan Lorenzen
- Life Science Division, Danish Technological Institute, Aarhus, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | | | - Estrid Høgdall
- Department of Pathology, Herlev—Gentofte University Hospital, Herlev, Denmark
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10
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Evaluation of the Idylla ctEGFR mutation assay to detect EGFR mutations in plasma from patients with non-small cell lung cancers. Sci Rep 2021; 11:10470. [PMID: 34006948 PMCID: PMC8131701 DOI: 10.1038/s41598-021-90091-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 04/26/2021] [Indexed: 01/13/2023] Open
Abstract
The assessment of EGFR mutations is recommended for the management of patients with non-small cell lung cancer (NSCLC). Presence of EGFR mutation is associated with response or resistance to EGFR tyrosine kinase inhibitors (EGFR-TKI). Liquid biopsy is nowadays widely used for the detection of resistance to EGFR-TKI. We evaluated here the performance of the Idylla ctEGFR mutation assay for the detection of EGFR mutations in circulating tumour DNA (ctDNA) in plasma from patients with NSCLC. Previously characterized plasma samples from 38 patients with NSCLC were analysed using 2 different analytical conditions (C1 and C2). The limit of detection (LOD) was evaluated using 2 mL of healthy donor plasma spiked with commercial DNA controls. Overall agreement, sensitivity and specificity were 92.1%, 86.7% and 95.7% for C1 condition respectively and 94.7%, 86.7% and 100% for C2 condition respectively. The T790M secondary resistance mutation was detected in two samples out of 3. The Idylla system was able to detect the exon 19 deletion from 6 copies/mL and up to 91 copies/mL for the G719S mutation. These results support that the Idylla ctEGFR mutation assay is a rapid option for the detection of EGFR hotspots mutations in plasma samples, however a particular attention is needed for its interpretation.
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11
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Satapathy S, Singh V, Nambirajan A, Malik PS, Tanwar P, Mehta A, Suryavanshi M, Thulkar S, Mohan A, Jain D. EGFR mutation testing on plasma and urine samples: A pilot study evaluating the value of liquid biopsy in lung cancer diagnosis and management. Curr Probl Cancer 2021; 45:100722. [PMID: 33712318 DOI: 10.1016/j.currproblcancer.2021.100722] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2020] [Revised: 11/30/2020] [Accepted: 02/01/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND Cell free DNA (cfDNA) shed by cancer cells into blood and body fluids is a potential substrate for molecular testing. While plasma is approved for EGFR mutation testing in certain clinical settings, mutation testing on urine is not well explored in lung cancer. In this study, we assess the feasibility and diagnostic accuracy of EGFR mutation analysis on plasma and urine samples. METHODS Matched plasma and urine were collected prospectively from TKI-naïve lung adenocarcinoma (ADCA) patients (Group A) with available tumor tissue. Only plasma was collected from TKI-treated, known EGFR mutant ADCA patients developing TKI resistance (Group B). qPCR (tumor tissue) or digital droplet-PCR (urine/plasma) was performed for exon 19 deletions, exon 21 L858R and exon 20 T790M. RESULTS Eighty-one patients (60 Group A, 21 Group B) were included. In Group A, EGFR mutations were detected in tissue in 34/60 (57%) patients. Mutations were detected in matched plasma in 24 (24/34, 70.5% sensitivity), and in matched urine in 15 (15/25, 60% sensitivity) of the 34 EGFR mutant cases, with no false positives (100% positive predictive value). Plasma and urine mutation results showed moderate agreement (70%) with a combined sensitivity of 88% (22/25). In Group B, new T790M mutations were detected in plasma in 61% (13/21) patients. CONCLUSION Liquid biopsies show moderate sensitivity (plasma > urine) with 100% positive predictive rates for EGFR mutations. Testing of more than one type of liquid biopsy sample increases sensitivity. In TKI-resistant settings, liquid biopsies can obviate need for invasive biopsies in >60% patients.
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Affiliation(s)
| | - Varsha Singh
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Aruna Nambirajan
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Prabhat Singh Malik
- Department of Medical Oncology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India
| | - Pranay Tanwar
- Department of Laboratory Oncology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India
| | - Anurag Mehta
- Department of Laboratory and Transfusion Services, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Moushumi Suryavanshi
- Department of Laboratory and Transfusion Services, Rajiv Gandhi Cancer Institute and Research Centre, New Delhi, India
| | - Sanjay Thulkar
- Department of Radiology, Dr BRAIRCH, All India Institute of Medical Sciences, New Delhi, India
| | - Anant Mohan
- Department of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences, New Delhi, India
| | - Deepali Jain
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India.
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12
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Silveira C, Sousa AC, Janeiro A, Malveiro S, Teixeira E, Brysch E, Pantarotto M, Felizardo M, Madureira R, Nogueira F, Guimarães C, Matos C, Canário D, Bruges-Armas J, Carmo-Fonseca M. Detection and quantification of EGFR T790M mutation in liquid biopsies by droplet digital PCR. Transl Lung Cancer Res 2021; 10:1200-1208. [PMID: 33889502 PMCID: PMC8044487 DOI: 10.21037/tlcr-20-1010] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background Liquid biopsy allows the identification of targetable cancer mutations in a minimally invasive manner. In patients with advanced non-small cell lung cancer (NSCLC), droplet digital PCR (ddPCR) is increasingly used to genotype the epidermal growth factor receptor (EGFR) gene in circulating cell-free DNA (cfDNA). However, the sensitivity of this method is still under debate. The aim of this study was to implement and assess the performance of a ddPCR assay for detecting the EGFR T790M mutation in liquid biopsies. Methods A ddPCR assay was optimized to detect the EGFR T790M mutation in plasma samples from 77 patients with NSCLC in progression. Results Our ddPCR assay enabled the detection and quantification of the EGFR T790M mutation at cfDNA allele frequency as low as 0.5%. The mutation was detected in 40 plasma samples, corresponding to a positivity rate of 52%. The number of mutant molecules per mL of plasma ranged from 1 to 6,000. A re-biopsy was analyzed for 12 patients that had a negative plasma test and the mutation was detected in 2 cases. A second liquid biopsy was performed for 6 patients and the mutation was detected in 3 cases. Conclusions This study highlights the value of ddPCR to detect and quantify the EGFR T790M mutation in liquid biopsies in a real-world clinical setting. Our results suggest that repeated ddPCR tests in cfDNA may obviate tissue re-biopsy in patients unable to provide a tumor tissue sample suitable for molecular analysis.
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Affiliation(s)
| | - Ana Carla Sousa
- GenoMed - Molecular Medicine Diagnostics, S.A., Lisbon, Portugal
| | - André Janeiro
- GenoMed - Molecular Medicine Diagnostics, S.A., Lisbon, Portugal
| | - Sara Malveiro
- GenoMed - Molecular Medicine Diagnostics, S.A., Lisbon, Portugal
| | | | - Eva Brysch
- Hospital Pulido Valente, Department of Pulmonary Oncology, Lisbon, Portugal
| | | | | | - Rosa Madureira
- Hospital Beatriz Ângelo, Department of Pathology, Lisbon, Portugal
| | | | - Cátia Guimarães
- Hospital Egas Moniz, Department of Pulmonology, Lisbon, Portugal
| | - Cristina Matos
- Hospital Egas Moniz, Department of Pulmonology, Lisbon, Portugal
| | - Dolores Canário
- Hospital Garcia de Orta, Department of Pulmonology, Almada, Portugal
| | - Jácome Bruges-Armas
- Hospital de Santo Espírito, Department of Specialized Service of Epidemiology and Molecular Biology (SEEBMO), Angra do Heroísmo, Azores, Portugal
| | - Maria Carmo-Fonseca
- Instituto de Medicina Molecular João Lobo Antunes, University of Lisbon Medical School, Lisbon, Portugal
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13
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Moreno-Manuel A, Calabuig-Fariñas S, Obrador-Hevia A, Blasco A, Fernández-Díaz A, Sirera R, Camps C, Jantus-Lewintre E. dPCR application in liquid biopsies: divide and conquer. Expert Rev Mol Diagn 2020; 21:3-15. [PMID: 33305634 DOI: 10.1080/14737159.2021.1860759] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Introduction: Precision medicine is already a reality in oncology, since biomarker-driven therapies have clearly improved patient survival. Furthermore, a new, minimally invasive strategy termed 'liquid biopsy' (LB) has revolutionized the field by allowing comprehensive cancer genomic profiling through the analysis of circulating tumor DNA (ctDNA). However, its detection requires extremely sensitive and efficient technologies. A powerful molecular tool based on the principle of 'divide and conquer' has emerged to solve this problem. Thus, digital PCR (dPCR) allows absolute and accurate quantification of target molecules.Areas covered: In this review we will discuss the fundamentals of dPCR and the most common approaches used for partition of samples and quantification. The advantages and limitations of dPCR will be mentioned in the context of LB in oncology.Expert opinion: In our opinion, dPCR has proven to be one of the most sensitive methods available for LB analysis, albeit some aspects such as its capacity of multiplexing and protocol standardization still require further improvements. Furthermore, the increasing sensitivities and lower costs of next generation sequencing (NGS) methods position dPCR as a confirmatory and complementary technique for NGS results which will likely prove to be very useful for treatment monitoring and assessing minimal residual disease.
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Affiliation(s)
- Andrea Moreno-Manuel
- Molecular Oncology Laboratory, Fundación Para La Investigación del Hospital General Universitario De Valencia, Valencia, Spain.,Mixed Unit TRIAL, (Príncipe Felipe Research Centre & Fundación Para La Investigación Del Hospital General Universitario De Valencia), Valencia, Spain
| | - Silvia Calabuig-Fariñas
- Molecular Oncology Laboratory, Fundación Para La Investigación del Hospital General Universitario De Valencia, Valencia, Spain.,Mixed Unit TRIAL, (Príncipe Felipe Research Centre & Fundación Para La Investigación Del Hospital General Universitario De Valencia), Valencia, Spain.,Department of Pathology, Universitat de València, València, Spain.,CIBERONC, Madrid, Spain
| | - Antonia Obrador-Hevia
- Group of Advanced Therapies and Biomarkers in Clinical Oncology, Health Research Institute of the Balearic Islands (Idisba), Son Espases University Hospital, Palma, Spain.,Molecular Diagnosis Unit, Son Espases University Hospital, Palma, Spain
| | - Ana Blasco
- CIBERONC, Madrid, Spain.,Medical Oncology Department, General University Hospital of Valencia, Valencia, Spain
| | - Amaya Fernández-Díaz
- Medical Oncology Department, General University Hospital of Valencia, Valencia, Spain
| | - Rafael Sirera
- Mixed Unit TRIAL, (Príncipe Felipe Research Centre & Fundación Para La Investigación Del Hospital General Universitario De Valencia), Valencia, Spain.,CIBERONC, Madrid, Spain.,Department of Biotechnology, Universitat Politècnica De València, Valencia, Spain
| | - Carlos Camps
- Molecular Oncology Laboratory, Fundación Para La Investigación del Hospital General Universitario De Valencia, Valencia, Spain.,Mixed Unit TRIAL, (Príncipe Felipe Research Centre & Fundación Para La Investigación Del Hospital General Universitario De Valencia), Valencia, Spain.,CIBERONC, Madrid, Spain.,Medical Oncology Department, General University Hospital of Valencia, Valencia, Spain.,Department of Medicine, Universitat De València, Valencia, Spain
| | - Eloisa Jantus-Lewintre
- Molecular Oncology Laboratory, Fundación Para La Investigación del Hospital General Universitario De Valencia, Valencia, Spain.,Mixed Unit TRIAL, (Príncipe Felipe Research Centre & Fundación Para La Investigación Del Hospital General Universitario De Valencia), Valencia, Spain.,CIBERONC, Madrid, Spain.,Department of Biotechnology, Universitat Politècnica De València, Valencia, Spain
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14
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Imyanitov EN, Iyevleva AG, Levchenko EV. Molecular testing and targeted therapy for non-small cell lung cancer: Current status and perspectives. Crit Rev Oncol Hematol 2020; 157:103194. [PMID: 33316418 DOI: 10.1016/j.critrevonc.2020.103194] [Citation(s) in RCA: 234] [Impact Index Per Article: 58.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 11/14/2020] [Accepted: 11/17/2020] [Indexed: 02/07/2023] Open
Abstract
Molecular testing has become a mandatory component of the non-small cell lung cancer (NSCLC) management. The detection of EGFR, BRAF and MET mutations as well as the analysis of ALK, ROS1, RET and NTRK translocations have already been incorporated in the NSCLC diagnostic standards, and the inhibitors of these kinases are in routine clinical use. There are emerging biomarkers, e.g., KRAS G12C substitutions and HER2 activating alterations, which are likely to enter NSCLC guidelines upon the approval of the corresponding drugs. In addition to genetic examination, NSCLCs are usually subjected to the analysis of PD-L1 protein expression in order to direct the use of immune checkpoint inhibitors. Comprehensive NSCLC testing for multiple predictive markers requires the analysis of distinct biological molecules (DNA, RNA, proteins) and, therefore, the involvement of different analytical platforms (PCR, DNA sequencing, immunohistochemistry, FISH). There are ongoing efforts aimed at the integration of multiple NSCLC molecular assays into a single diagnostic pipeline.
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Affiliation(s)
- Evgeny N Imyanitov
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg, 197758, Russia; Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg, 194100, Russia; Department of Oncology, I.I. Mechnikov North-Western Medical University, St.-Petersburg, 195067, Russia.
| | - Aglaya G Iyevleva
- Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, St.-Petersburg, 197758, Russia; Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg, 194100, Russia
| | - Evgeny V Levchenko
- Department of Oncology, I.I. Mechnikov North-Western Medical University, St.-Petersburg, 195067, Russia; Department of Thoracic Oncology, N.N. Petrov Institute of Oncology, St.-Petersburg, 197758, Russia
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15
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Rossi G, Barabino E, Fedeli A, Ficarra G, Coco S, Russo A, Adamo V, Buemi F, Zullo L, Dono M, De Luca G, Longo L, Dal Bello MG, Tagliamento M, Alama A, Cittadini G, Pronzato P, Genova C. Radiomic Detection of EGFR Mutations in NSCLC. Cancer Res 2020; 81:724-731. [PMID: 33148663 DOI: 10.1158/0008-5472.can-20-0999] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 08/04/2020] [Accepted: 10/26/2020] [Indexed: 11/16/2022]
Abstract
Radiomics is defined as the use of automated or semi-automated post-processing and analysis of multiple features derived from imaging exams. Extracted features might generate models able to predict the molecular profile of solid tumors. The aim of this study was to develop a predictive algorithm to define the mutational status of EGFR in treatment-naïve patients with advanced non-small cell lung cancer (NSCLC). CT scans from 109 treatment-naïve patients with NSCLC (21 EGFR-mutant and 88 EGFR-wild type) underwent radiomics analysis to develop a machine learning model able to recognize EGFR-mutant from EGFR-WT patients via CT scans. A "test-retest" approach was used to identify stable radiomics features. The accuracy of the model was tested on an external validation set from another institution and on a dataset from the Cancer Imaging Archive (TCIA). The machine learning model that considered both radiomic and clinical features (gender and smoking status) reached a diagnostic accuracy of 88.1% in our dataset with an AUC at the ROC curve of 0.85, whereas the accuracy values in the datasets from TCIA and the external institution were 76.6% and 83.3%, respectively. Furthermore, 17 distinct radiomics features detected at baseline CT scan were associated with subsequent development of T790M during treatment with an EGFR inhibitor. In conclusion, our machine learning model was able to identify EGFR-mutant patients in multiple validation sets with globally good accuracy, especially after data optimization. More comprehensive training sets might result in further improvement of radiomics-based algorithms. SIGNIFICANCE: These findings demonstrate that data normalization and "test-retest" methods might improve the performance of machine learning models on radiomics images and increase their reliability when used on external validation datasets.
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Affiliation(s)
- Giovanni Rossi
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.,Dipartimento di Scienze Mediche, Chirurgiche e Sperimentali, Università degli Studi di Sassari, Sassari, Italy
| | - Emanuele Barabino
- Interventional Angiography, Ospedale Santa Corona, Pietra Ligure, Italy
| | - Alessandro Fedeli
- Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni, Università degli Studi di Genova, Genova, Italy
| | - Gianluca Ficarra
- Diagnostic Imaging and Interventional Radiology, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Simona Coco
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Alessandro Russo
- A.O. Papardo and Department of Human Pathology, University of Messina, Messina, Italy
| | - Vincenzo Adamo
- A.O. Papardo and Department of Human Pathology, University of Messina, Messina, Italy
| | - Francesco Buemi
- A.O. Papardo and Department of Human Pathology, University of Messina, Messina, Italy
| | - Lodovica Zullo
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Mariella Dono
- Molecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Giuseppa De Luca
- Molecular Diagnostic Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Luca Longo
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Marco Tagliamento
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Angela Alama
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | - Paolo Pronzato
- Lung Cancer Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Carlo Genova
- UOC Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy. .,Dipartimento di Medicina Interna e Specialità Mediche (DiMI), Facoltà di Medicina e Chirurgia, Università degli Studi di Genova, Genova, Italy
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16
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Li C, He Q, Liang H, Cheng B, Li J, Xiong S, Zhao Y, Guo M, Liu Z, He J, Liang W. Diagnostic Accuracy of Droplet Digital PCR and Amplification Refractory Mutation System PCR for Detecting EGFR Mutation in Cell-Free DNA of Lung Cancer: A Meta-Analysis. Front Oncol 2020; 10:290. [PMID: 32195189 PMCID: PMC7063461 DOI: 10.3389/fonc.2020.00290] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 02/19/2020] [Indexed: 12/16/2022] Open
Abstract
Background: Epidermal growth factor receptor (EGFR) mutation testing in plasma cell-free DNA (cfDNA) from advanced lung cancer patients is an emerging clinical tool. This meta-analysis was designed to determine the diagnostic accuracy of two common PCR systems, droplet digital PCR (ddPCR) and amplification refractory mutation system PCR (ARMS-PCR), for detecting EGFR mutation in cfDNA. Materials and methods: A systematic search was carried out based on PubMed, Web of science, Embase and the Cochrane library. Data from eligible studies were extracted and pooled to calculate the sensitivity, specificity, diagnostic odds ratio (DOR), area under the summary receiver-operating characteristic curve (AUROC), using tissue biopsy results as the standard method. Subgroup analyses were performed regarding EGFR mutation type, tumor stage, and EGFR-TKI treatment. Results: Twenty-five studies involving 4,881 cases were included. The plasma testing sensitivity, specificity, DOR, and AUROC, compared with the matched tumor tissues, were 72.1%, 95.6%, 38.5, 0.89 for ddPCR, and 65.3%, 98.2%, 52.8, 0.71 for ARMS-PCR, respectively, through indirect comparison, significant differences were found in sensitivity (P = 0.003) and specificity (P = 0.007). Furthermore, significant difference was found in sensitivity between tumor stage subgroups (IIIB–IV subgroup vs. IA–IV subgroup) in ARMS-PCR (73.7 vs. 64.2%, P = 0.008), but not in ddPCR (72.5 vs. 71.2%, P = 0.756). Conclusions: This study demonstrates that ddPCR and ARMS-PCR have a high specificity with a practical sensitivity for detecting EGFR mutation in cfDNA, which supports their application as a supplement or a conditional-alternative to tissue biopsy in clinical practice for genotyping. It seems that ddPCR has a higher sensitivity than ARMS-PCR, especially in early stages.
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Affiliation(s)
- Caichen Li
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qihua He
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hengrui Liang
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bo Cheng
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianfu Li
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shan Xiong
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yi Zhao
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Minzhang Guo
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhichao Liu
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jianxing He
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wenhua Liang
- China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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17
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Wang X, Wu J, Mao W, He X, Ruan L, Zhu J, Shu P, Zhang Z, Jiang B, Zhang X. A tetrahedral DNA nanostructure-decorated electrochemical platform for simple and ultrasensitive EGFR genotyping of plasma ctDNA. Analyst 2020; 145:4671-4679. [PMID: 32458862 DOI: 10.1039/d0an00591f] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In this study, we propose an on-site electrochemical platform for sensitive simultaneous genotyping of the two major EGFR mutations (19del and L858R) through plasma ctDNA based on tetrahedral DNA nanostructure decorated screen-printed electrodes.
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18
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Choughule A, D′Souza H. Liquid biopsy in lung cancer-hope or hype? CANCER RESEARCH, STATISTICS, AND TREATMENT 2019. [DOI: 10.4103/crst.crst_104_19] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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