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Lai M, Mu T, Liu M, Hu Q, Li J, Huang T, Li Y, Chen S, Cai L. Personalized therapy guided by longitudinal liquid biopsies for treatment of leptomeningeal disease from lung adenocarcinoma: A case report. Oncol Lett 2024; 28:299. [PMID: 38751754 PMCID: PMC11094582 DOI: 10.3892/ol.2024.14432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/20/2024] [Indexed: 05/18/2024] Open
Abstract
Molecular-based targeted therapies have significantly benefited certain patients with cancer; however, those with leptomeningeal disease (LMD) persistently exhibit a poor prognosis and are often excluded from clinical trials. Tumor-derived cell-free (cf)DNA, found in the cerebrospinal fluid (CSF) of patients with LMD, can assist in diagnosis and tracking of disease progression. However, the utilization of CSF to direct targeted cancer therapy has yet to be extensively explored. The present study reported the case of a patient with lung adenocarcinoma and LMD who was monitored by performing a series of liquid biopsies of CSF and blood. Targeted sequencing was performed on cfDNA from the CSF and plasma, and the variant allele frequencies (VAFs) of BRAF and NRAS mutations were assessed and analyzed in conjunction with the clinical presentation of the patient. The patient then underwent serial chemotherapy, radiation therapy, immunotherapy and targeted treatment based on the results of the liquid biopsies. Upon the LMD diagnosis, a BRAF p.V600E mutation was detected in plasma cfDNA. Consequently, the patient was treated with vemurafenib and responded favorably to this consolidation treatment for 13 months. After a relapse in July 2018, both BRAF p.V600E and NRAS p.Q61K mutations were detected in CSF supernatant and sediment cell samples, suggesting drug resistance. Therefore, the treatment strategy for the patient changed to cobimetnib plus vemurafenib. Notably, the changes of VAF in the CSF supernatant samples were associated with the clinical status of the patient. The patient survived for 33 months post-LMD diagnosis. The present case report highlights the potential use of liquid biopsy in personalized therapy, as it was instrumental in informing the combinational treatment plan of the patient, which ultimately proved beneficial.
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Affiliation(s)
- Mingyao Lai
- Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, Guangdong 510510, P.R. China
| | - Tianhao Mu
- HaploX Biotechnology, Shenzhen, Guangdong 518057, P.R. China
- Department of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 440300, P.R. China
| | - Ming Liu
- HaploX Biotechnology, Shenzhen, Guangdong 518057, P.R. China
| | - Qingjun Hu
- Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, Guangdong 510510, P.R. China
| | - Juan Li
- Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, Guangdong 510510, P.R. China
| | - Tanxiao Huang
- HaploX Biotechnology, Shenzhen, Guangdong 518057, P.R. China
| | - Yingmei Li
- HaploX Biotechnology, Shenzhen, Guangdong 518057, P.R. China
| | - Shifu Chen
- HaploX Biotechnology, Shenzhen, Guangdong 518057, P.R. China
- Department of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 440300, P.R. China
| | - Linbo Cai
- Department of Oncology, Guangdong Sanjiu Brain Hospital, Guangzhou, Guangdong 510510, P.R. China
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Chang JC, Rekhtman N. Pathologic Assessment and Staging of Multiple Non-Small Cell Lung Carcinomas: A Paradigm Shift with the Emerging Role of Molecular Methods. Mod Pathol 2024; 37:100453. [PMID: 38387831 PMCID: PMC11102290 DOI: 10.1016/j.modpat.2024.100453] [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: 12/05/2023] [Revised: 01/29/2024] [Accepted: 02/13/2024] [Indexed: 02/24/2024]
Abstract
Non-small cell lung carcinomas (NSCLCs) commonly present as 2 or more separate tumors. Biologically, this encompasses 2 distinct processes: separate primary lung carcinomas (SPLCs), representing independently arising tumors, and intrapulmonary metastases (IPMs), representing intrapulmonary spread of a single tumor. The advent of computed tomography imaging has substantially increased the detection of multifocal NSCLCs. The strategies and approaches for distinguishing between SPLCs and IPMs have evolved significantly over the years. Recently, genomic sequencing of somatic mutations has been widely adopted to identify targetable alterations in NSCLC. These molecular techniques have enabled pathologists to reliably discern clonal relationships among multiple NSCLCs in clinical practice. However, a standardized approach to evaluating and staging multiple NSCLCs using molecular methods is still lacking. Here, we reviewed the historical context and provided an update on the growing applications of genomic testing as a clinically relevant benchmark for determining clonal relationships in multiple NSCLCs, a practice we have designated "comparative molecular profiling." We examined the strengths and limitations of the morphology-based distinction of SPLCs vs IPMs and highlighted pivotal clinical and pathologic insights that have emerged from studying multiple NSCLCs using genomic approaches as a gold standard. Lastly, we suggest a practical approach for evaluating multiple NSCLCs in the clinical setting, considering the varying availability of molecular techniques.
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Affiliation(s)
- Jason C Chang
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Natasha Rekhtman
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
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Zhao L, Wang J, Zhang Y, Wang P, Lv C, Zhao S, Guo T, Li F, Gu C, Zhu Y. Genomic heterogeneity of multiple synchronous lung cancers in Chinese population. Cancer Med 2024; 13:e6928. [PMID: 38348924 PMCID: PMC10839131 DOI: 10.1002/cam4.6928] [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: 07/31/2023] [Revised: 12/24/2023] [Accepted: 12/31/2023] [Indexed: 02/15/2024] Open
Abstract
INTRODUCTION It is clinically challenging to infer the phylogenetic relationship between different tumor lesions of patients with multiple synchronous lung cancers (MSLC), whether these lesions are the result of independently evolved tumor or intrapulmonary metastases. METHODS We used the Illumina X10 platform to sequence 128 stage I lung cancer samples collected from 64 patients with MSLC. All samples were analyzed for mutation spectra and phylogenetic inference. RESULTS We detected genetic aberrations within genes previously reported to be recurrently altered in lung adenocarcinoma including, EGFR, ERBB2, TP53, BRAF, and KRAS. Other putative driver mutations identified were enriched in RTK-RAS signaling, TP53 signaling, and cell cycle. Also, we found some interesting cases, two cases that carried EGFR L858R and T790M co-mutation in one tumor and another tumor with only EGFR 19del, and 1 case with two KRAS hotspots in the same tumor. Due to the short follow-up time and early stage, further investigation is needed to determine whether this unique mutation profile will affect their progression-free survival (PFS) and overall survival (OS). Regarding genetic evolution analysis among 64 tumor samples, 50 of them display distinct mutational profiles, suggesting these are independently evolved tumors, which is consistent with histopathological assessment. On the other hand, six patients were identified to be intrapulmonary metastasis as the mutations harbored in different lesions are clonally related. CONCLUSION In summary, unlike intrapulmonary metastases, patients with MSLC harbor distinct genomic profiles in different tumor lesions, and we could distinguish MSLC from intrapulmonary metastases via clonality estimation.
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Affiliation(s)
- Lei Zhao
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Jin Wang
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Yixiang Zhang
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Peng Wang
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Changsheng Lv
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Shilei Zhao
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Tao Guo
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Fengzhou Li
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Chundong Gu
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
| | - Yuntao Zhu
- Department of Thoracic Surgerythe First Affiliated Hospital of Dalian Medical UniversityDalianChina
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Wang Z, Yuan X, Jiang G, Li Y, Yang F, Wang J, Chen K. Towards the molecular era of discriminating multiple lung cancers. EBioMedicine 2023; 90:104508. [PMID: 36958271 PMCID: PMC10040518 DOI: 10.1016/j.ebiom.2023.104508] [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: 10/22/2022] [Revised: 02/14/2023] [Accepted: 02/14/2023] [Indexed: 03/25/2023] Open
Abstract
In the era of histopathology-based diagnosis, the discrimination between multiple lung cancers (MLCs) poses significant uncertainties and has thus become a clinical dilemma. However, recent significant advances and increased application of molecular technologies in clonal relatedness assessment have led to more precision in distinguishing between multiple primary lung cancers (MPLCs) and intrapulmonary metastasis (IPMs). This review summarizes recent advances in the molecular identification of MLCs and compares various methods based on somatic mutations, chromosome alterations, microRNAs, and tumor microenvironment markers. The paper also discusses current challenges at the forefront of genomics-based discrimination, including the selection of detection technology, application of next-generation sequencing, and intratumoral heterogeneity (ITH). In summary, this paper highlights an entrance into the primary stage of molecule-based diagnostics.
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Affiliation(s)
- Ziyang Wang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Xiaoqiu Yuan
- Peking University Health Science Center, Beijing, 100191, China
| | - Guanchao Jiang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Yun Li
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Fan Yang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Jun Wang
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China
| | - Kezhong Chen
- Thoracic Oncology Institute and Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
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Yang CY, Yeh YC, Wang LC, Lin YY, Lin SY, Wang SY, Chu PY, Liu ZY, Su YC, Ho HL, Chou TY. Genomic Profiling With Large-Scale Next-Generation Sequencing Panels Distinguishes Separate Primary Lung Adenocarcinomas From Intrapulmonary Metastases. Mod Pathol 2023; 36:100047. [PMID: 36788096 DOI: 10.1016/j.modpat.2022.100047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 09/09/2022] [Accepted: 10/24/2022] [Indexed: 01/11/2023]
Abstract
The distinction between different separate primary lung cancers (SPLCs) and intrapulmonary metastases (IPMs) is a challenging but clinically significant issue. Histopathology-based classification is the current practice; however, it is subjective and affected by interobserver variability. Recently, next-generation sequencing (NGS) panels have been used in lung cancer diagnostics. This study aimed to investigate the value of large-scale NGS panels for distinguishing between SPLCs and IPMs. A total of 32 patients with 69 lung adenocarcinomas were included. Comprehensive histopathologic assessments of multiple pulmonary adenocarcinomas were performed independently by 3 pathologists. The consensus of histopathologic classification was determined by a majority vote. Genomic analysis was performed using an amplicon-based large-scale NGS panel, targeting single-nucleotide variants and short insertions and deletions in 409 genes. Tumor pairs were classified as SPLCs or IPMs according to a predefined molecular classification algorithm. Using NGS and our molecular classification algorithm, 97.6% of the tumor pairs can be unambiguously classified as SPLCs or IPMs. The molecular classification was predictive of postoperative clinical outcomes in terms of overall survival (P = .015) and recurrence-free interval (P = .0012). There was a moderate interobserver agreement regarding histopathologic classification (κ = 0.524 at the tumor pair level). The concordance between histopathologic and molecular classification was 100% in cases where pathologists reached a complete agreement but only 53.3% where they did not. This study showed that large-scale NGS panels are a powerful modality that can help distinguish SPLCs from IPMs in patients with multiple lung adenocarcinomas and objectively provide accurate risk stratification.
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Affiliation(s)
- Ching-Yeuh Yang
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yi-Chen Yeh
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Lei-Chi Wang
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Yen-Yu Lin
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shin-Ying Lin
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Shu-Ying Wang
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ping-Yuan Chu
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Zih-Yu Liu
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yu-Chi Su
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Hsiang-Ling Ho
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Teh-Ying Chou
- Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Now with Department of Pathology, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.
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Qu R, Ye F, Tu D, Cai Y, Fu X. Clinical Features and Surgical Treatment of Synchronous Multiple Primary Lung Adenocarcinomas With Different EGFR Mutations. Front Oncol 2022; 11:785777. [PMID: 35096585 PMCID: PMC8791858 DOI: 10.3389/fonc.2021.785777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 12/22/2021] [Indexed: 01/11/2023] Open
Abstract
Background With the popularity of lung cancer screening and advances in imaging technology, more and more synchronous multiple primary lung adenocarcinomas (SMPLA) are being diagnosed clinically, however, the clinical characteristics and prognosis of SMPLA with different EGFR mutations remains unclear. We aimed to explore clinical features and surgical outcomes of these patients to aid in the diagnosis and treatment of SMPLA. Methods Medical records of patients with different EGFR mutations who have been diagnosed as SMPLA and underwent surgical resection from March 2015 to December 2019 were retrospectively analyzed. Clinical characteristics, surgical outcomes, recurrence-free survival (RFS) and overall survival (OS) were investigated. Results A total of 70 patients (68.6% female and 77.1% non-somkers) were included. Total of 161 lesions in all patients, 84.4% were ground-glass opacity (GGO) lesions. EGFR mutations were detected in 108 lesions, most of which were L858R (35.4%) and 19Del (20.5%). The mutation rate of mixed GGO is significantly higher than that of pure GGO and solid nodules (SN); the mutation rate of invasive adenocarcinoma is significantly higher than that of other histology subtypes; the mutation rate of lesions >20 mm was significantly higher than that of ≤20 mm. However, there is no significant difference in the mutation rate of specific driver gene between different radiological features, pathological characteristics and sizes. After a median follow-up time of 29 months, the 3-year OS and RFS were 94.4% and 86.0%, respectively. Conclusions A high discordance of EGFR mutations were identified between tumors in patients with SMPLA. Synchronous multiple lung adenocarcinomas with predominantly multiple GGO should be considered as SMPLA, and surgery may be aggressively performed for these patients due to a good prognosis.
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Affiliation(s)
- Rirong Qu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fan Ye
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dehao Tu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yixin Cai
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiangning Fu
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Vokes NI, Zhang J. The Role of Whole Exome Sequencing in Distinguishing Primary and Secondary Lung Cancers. LUNG CANCER (AUCKLAND, N.Z.) 2021; 12:139-149. [PMID: 34880699 PMCID: PMC8648100 DOI: 10.2147/lctt.s272518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 11/12/2021] [Indexed: 11/25/2022]
Abstract
Non-small cell lung cancer (NSCLC) that presents with multiple lung tumors (MLTs) poses a challenge to accurate staging and prognosis. MLTs that arise as clonally related secondary metastases from a common primary are higher stage and often require adjuvant chemotherapy or may in fact be incurable stage IV lesions. Conversely, MLTs that represent distinct primaries have a better prognosis and may be overtreated if inappropriately classified as related secondaries. Historically, pathologic and radiographic criteria were used to distinguish between primary and secondary MLTs; however, the advent of genomic profiling has demonstrated limitations to these historic classification systems. In this review, we discuss the use of molecular profiling to distinguish between primary and secondary lung cancers, with a focus on the insights gleaned from whole exome sequencing (WES) analyses. While WES is not yet feasible in routine clinical practice, WES studies have helped elucidate the clonal relationship between primary and secondary lung cancers and provide important context for the application of targeted sequencing panel-based analyses.
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Affiliation(s)
- Natalie I Vokes
- Department of Thoracic and Head and Neck Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic and Head and Neck Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Ezer N, Wang H, Corredor AG, Fiset PO, Baig A, van Kempen LC, Chong G, Issac MSM, Fraser R, Spatz A, Riviere JB, Broët P, Spicer J, Camilleri-Broët S. Integrating NGS-derived mutational profiling in the diagnosis of multiple lung adenocarcinomas. Cancer Treat Res Commun 2021; 29:100484. [PMID: 34773797 DOI: 10.1016/j.ctarc.2021.100484] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Revised: 10/24/2021] [Accepted: 10/25/2021] [Indexed: 11/25/2022]
Abstract
MICROABSTRACT Integration of Next Generation Sequencing (NGS) information for use in distinguishing between Multiple Primary Lung Cancer and intrapulmonary metastasis was evaluated. We used a probabilistic model, comprehensive histologic assessment and NGS to classify patients. Integrating NGS data confirmed initial diagnosis (n = 41), revised the diagnosis (n = 12), while resulted in non-informative data (n = 8). Accuracy of diagnosis can be significantly improved with integration of NGS data. BACKGROUND Distinguishing between multiple primary lung cancers (MPLC) and intrapulmonary metastases (IPM) is challenging. The goal of this study was to evaluate how Next Generation Sequencing (NGS) information may be integrated in the diagnostic strategy. PATIENTS AND METHODS Patients with multiple lung adenocarcinomas were classified using both the comprehensive histologic assessment and NGS. We computed the joint probability of each pair having independent mutations by chance (thus being classified as MPLC). These probabilities were computed using the marginal mutation rates of each mutation, and the known negative dependencies between driver genes and different gene loci. With these NGS-driven data, cases were re-classified as MPLC or IPM. RESULTS We analyzed 61 patients with a total of 131 tumors. The most frequent mutation was KRAS (57.3%) which occured at a rate higher than expected (p < 0.001) in lung cancer. No mutation was detected in 25/131 tumors (19.1%). Discordant molecular findings between tumor sites were found in 46 patients (75.4%); 11 patients (18.0%) had concordant molecular findings, and 4 patients (6.6%) had concordant molecular findings at 2 of the 3 sites. After integration of the NGS data, the initial diagnosis was confirmed for 41 patients (67.2%), the diagnosis was revised for 12 patients (19.7%) or was considered as non-informative for 8 patients (13.1%). CONCLUSION Integrating the information of NGS data may significantly improve accuracy of diagnosis and staging.
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Affiliation(s)
- Nicole Ezer
- Department of Medicine, Division of Respirology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; Centre for Outcomes Research and Evaluation - Research Institute of the McGill University Health Center, Montreal, 1001 Decarie Blvd., QC, Canada
| | - Hangjun Wang
- Division of Pathology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada; Research Molecular Pathology Center, Lady Davis Institute, 3755 Côte Ste-Catherine Road, Montreal, QC, Canada
| | - Andrea Gomez Corredor
- OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada; Division of Molecular Genetics, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada
| | - Pierre Olivier Fiset
- Division of Pathology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada
| | - Ayesha Baig
- Division of Pathology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada
| | - Léon C van Kempen
- OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada; Division of Molecular Genetics, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; University Medical Center of Groningen, PO box 30.001, 9700 RB, Groningen, Netherlands
| | - George Chong
- OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada; Division of Molecular Genetics, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada
| | - Marianne S M Issac
- Research Institute of the McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, Canada; Department of Clinical and Chemical Pathology, Faculty of Medicine, Cairo University, El Saray St., El Manial, Postal Code 11956, Cairo, Egypt
| | - Richard Fraser
- Division of Pathology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada
| | - Alan Spatz
- Division of Pathology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada; Research Molecular Pathology Center, Lady Davis Institute, 3755 Côte Ste-Catherine Road, Montreal, QC, Canada
| | - Jean-Baptiste Riviere
- OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada; Division of Molecular Genetics, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada
| | - Philippe Broët
- UMR 1018, INSERM, CESP, Paris-Saclay University, Faculty of Medicine, Paul-Brousse Hospital AP-AP, Villejuif, France; Research Center, CHU Ste-Justine, University of Montreal, 3175 Côte-Sainte-Catherine Road, H3T 1C5, Montreal, QC, Canada
| | - Jonathan Spicer
- Division of Thoracic and Upper GI Surgery, McGill University Health Center, 1650 Cedar Avenue Montreal, H3G 1A4, Montreal, QC, Canada
| | - Sophie Camilleri-Broët
- Division of Pathology, McGill University Health Center, 1001 Decarie Blvd., Montreal, QC, Canada; OPTILAB-MUHC & Department of Laboratory Medicine, 1001 Decarie Blvd., Montreal, QC, Canada.
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Application of large-scale targeted sequencing to distinguish multiple lung primary tumors from intrapulmonary metastases. Sci Rep 2020; 10:18840. [PMID: 33139840 PMCID: PMC7606457 DOI: 10.1038/s41598-020-75935-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 10/19/2020] [Indexed: 12/17/2022] Open
Abstract
The effective differentiation between multiple primary lung tumors (MPs) and intrapulmonary metastases (IMs) in patients is imperative to discover the exact disease stage and to select the most appropriate treatment. In this study, the authors was to evaluate the efficacy and validity of large-scale targeted sequencing (LSTS) as a supplement to estimate whether multifocal lung cancers (MLCs) are primary or metastatic. Targeted sequencing of 520 cancer-related oncogenes was performed on 36 distinct tumors from 16 patients with MPs. Pairing analysis was performed to evaluate the somatic mutation pattern of MLCs in each patient. A total of 25 tumor pairs from 16 patients were sequenced, 88% (n = 22) of which were classified as MPs by LSTS, consistent with clinical diagnosis. One tumor pair from a patient with lymph node metastases had highly consistent somatic mutation profiles, thus predicted as a primary-metastatic pair. In addition, some matched mutations were observed in the remaining two paired ground-glass nodules (GGNs) and classified as high-probability IMs by LSTS. Our study revealed that LSTS can potentially facilitate the distinction of MPs from IMs. In addition, our results provide new genomic evidence of the presence of cancer invasion in GGNs, even pure GGNs.
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