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Claerhout S, Lehnert S, Borght SV, Spans L, Dooms C, Wauters E, Vansteenkiste J, Weynand B, Deraedt K, Bourgain C, Bempt IV. Targeted RNA sequencing for upfront analysis of actionable driver alterations in non-small cell lung cancer. Lung Cancer 2022; 166:242-249. [DOI: 10.1016/j.lungcan.2022.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 02/15/2022] [Accepted: 02/24/2022] [Indexed: 10/19/2022]
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Karadzovska-Kotevska M, Brunnström H, Kosieradzki J, Ek L, Estberg C, Staaf J, Barath S, Planck M. Feasibility of EBUS-TBNA for histopathological and molecular diagnostics of NSCLC-A retrospective single-center experience. PLoS One 2022; 17:e0263342. [PMID: 35108331 PMCID: PMC8809531 DOI: 10.1371/journal.pone.0263342] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 01/17/2022] [Indexed: 12/24/2022] Open
Abstract
Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is a minimally invasive bronchoscopic procedure, well established as a diagnostic modality of first choice for diagnosis and staging of non-small cell lung cancer (NSCLC). The therapeutic decisions for advanced NSCLC require comprehensive profiling of actionable mutations, which is currently considered to be an essential part of the diagnostic process. The purpose of this study was to evaluate the utility of EBUS-TBNA cytology specimen for histological subtyping, molecular profiling of NSCLC by massive parallel sequencing (MPS), as well as for PD-L1 analysis. A retrospective review of 806 EBUS bronchoscopies was performed, resulting in a cohort of 132 consecutive patients with EBUS-TBNA specimens showing NSCLC cells in lymph nodes. Data on patient demographics, radiology features of the suspected tumor and mediastinal engagement, lymph nodes sampled, the histopathological subtype of NSCLC, and performed molecular analysis were collected. The EBUS-TBNA specimen proved sufficient for subtyping NSCLC in 83% and analysis of treatment predictive biomarkers in 77% (MPS in 53%). The adequacy of the EBUS-TBNA specimen was 69% for EGFR gene mutation analysis, 49% for analysis of ALK rearrangement, 36% for ROS1 rearrangement, and 33% for analysis of PD-L1. The findings of our study confirm that EBUS-TBNA cytology aspirate is appropriate for diagnosis and subtyping of NSCLC and largely also for treatment predictive molecular testing, although more data is needed on the utility of EBUS cytology specimen for MPS and PD-L1 analysis.
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Affiliation(s)
- Marija Karadzovska-Kotevska
- Department of Respiratory Diseases and Allergology, Skåne University Hospital Lund, Lund, Sweden
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, Lund, Sweden
- * E-mail:
| | - Hans Brunnström
- Division of Laboratory Medicine, Department of Genetics and Pathology, Region Skåne, Lund, Sweden
- Division of Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Jaroslaw Kosieradzki
- Department of Respiratory Diseases and Allergology, Skåne University Hospital Lund, Lund, Sweden
| | - Lars Ek
- Department of Respiratory Diseases and Allergology, Skåne University Hospital Lund, Lund, Sweden
| | - Christel Estberg
- Department of Respiratory Diseases and Allergology, Skåne University Hospital Lund, Lund, Sweden
| | - Johan Staaf
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, Lund, Sweden
| | - Stefan Barath
- Department of Respiratory Diseases and Allergology, Skåne University Hospital Lund, Lund, Sweden
| | - Maria Planck
- Department of Respiratory Diseases and Allergology, Skåne University Hospital Lund, Lund, Sweden
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, Lund, Sweden
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Kuijvenhoven JC, Kramer T, Korevaar DA, Ninaber MK, Trisolini R, Szlubowski A, Gnass M, von der Thüsen J, Cohen D, Bonta PI, Annema JT. Endobronchial ultrasound in diagnosing and staging of lung cancer by Acquire 22G TBNB versus regular 22G TBNA needles: study protocol of a randomised clinical trial. BMJ Open 2021; 11:e051820. [PMID: 34475187 PMCID: PMC8413963 DOI: 10.1136/bmjopen-2021-051820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION Accurate diagnosis and staging of lung cancer is crucial because it directs treatment and prognosis. Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) and endoscopic ultrasound with bronchoscope fine-needle aspiration (EUS-B-FNA) are important in this process by sampling hilar/mediastinal lymph nodes and centrally located lung tumours. With the upcoming of immunotherapy and targeted therapies, assessment of programmed death ligand 1 (PD-L1) expression and molecular profiling has become important but is often impossible in cytological samples obtained through standard 22G TBNA needles. Recently, a three-pronged cutting edge 22G needle was developed that allows for transbronchial needle biopsy (TBNB). Our objective is to determine if EBUS/EUS-B-guided nodal/lung tumour sampling with Acquire 22G TBNB needles results in an improved suitability rate for the assessment of PD-L1 expression in comparison to standard 22G TBNA needles in patients with a final diagnosis of lung cancer. METHODS AND ANALYSIS This is an investigator-initiated, parallel group randomised clinical trial. Patients are recruited at respiratory medicine outpatient clinics of participating university and general hospitals in the Netherlands, Poland and Italy. In total 158 adult patients with (suspected) lung cancer are included if they have an indication for mediastinal/hilar lymph node or lung tumour sampling by EBUS-TBNA and/or EUS-B-FNA based on current clinical guidelines. Web-based randomisation between the two needles will be performed. Samples obtained from mediastinal/hilar lymph nodes and/or primary tumour will be processed for cytology smears and cell block analysis and reviewed by blinded reference pathologists. An intention-to-treat analysis will be applied. Patients with missing data will be excluded from analysis for that specific variable but included in the analysis of other variables. This study is financially supported by Boston Scientific. ETHICS AND DISSEMINATION The study was approved by the local Ethics Committee (Medisch Ethische Toetsingscommissie Amsterdam Medical Center (AMC)). Dissemination will involve publication in a peer-reviewed biomedical journal. TRIAL REGISTRATION NUMBER NL7701; Pre-results.
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Affiliation(s)
- Jolanda C Kuijvenhoven
- Department of Respiratory Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
- Department of Respiratory Medicine, Medical Centre Leeuwarden, Leeuwarden, The Netherlands
| | - Tess Kramer
- Department of Respiratory Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Daniël A Korevaar
- Department of Respiratory Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Maarten K Ninaber
- Department of Respiratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Rocco Trisolini
- Department of Respiratory Medicine, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | - Artur Szlubowski
- Department of Respiratory Medicine, Pulmonary Hospital, Zakopane, Poland
| | - Maciej Gnass
- Department of Respiratory Medicine, Pulmonary Hospital, Zakopane, Poland
| | | | - Danielle Cohen
- Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
| | - Peter I Bonta
- Department of Respiratory Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Jouke T Annema
- Department of Respiratory Medicine, Amsterdam University Medical Centres, Amsterdam, The Netherlands
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Tajarernmuang P, Ofiara L, Beaudoin S, Gonzalez AV. Bronchoscopic tissue yield for advanced molecular testing: are we getting enough? J Thorac Dis 2020; 12:3287-3295. [PMID: 32642252 PMCID: PMC7330770 DOI: 10.21037/jtd-19-4119] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The treatment of advanced lung cancer has become increasingly personalized over the past decade as a result of the improved understanding of tumor molecular biology and anti-tumor immunity. An adequate tumor sample is central to targetable mutation analysis, and immunologic profiling. The majority of lung cancer patients currently present at an advanced disease stage, so that diagnosis and staging are largely based on small biopsy and cytology specimens. Flexible bronchoscopy techniques play a prominent role in the acquisition of these diagnostic specimens. This narrative review summarizes the available evidence with regards to the role of various conventional and advanced flexible bronchoscopy techniques in acquiring sufficient tissue for mutation analysis and programmed death-ligand 1 (PD-L1) testing.
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Affiliation(s)
- Pattraporn Tajarernmuang
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre Research Institute, Montreal, Quebec, Canada;,Respiratory, Critical Care and Allergy Division, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
| | - Linda Ofiara
- Respiratory Division, Montreal Chest Institute, McGill University Health Centre, Montreal, Quebec, Canada
| | - Stéphane Beaudoin
- Respiratory Division, Montreal Chest Institute, McGill University Health Centre, Montreal, Quebec, Canada
| | - Anne V. Gonzalez
- Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre Research Institute, Montreal, Quebec, Canada;,Respiratory Division, Montreal Chest Institute, McGill University Health Centre, Montreal, Quebec, Canada
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Wauters E, Vansteenkiste J. Will liquid biopsies become our fluid transition to personalized immunotherapy? Ann Oncol 2018; 29:11-13. [PMID: 29165546 DOI: 10.1093/annonc/mdx751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Affiliation(s)
- E Wauters
- Respiratory Oncology Unit (Pneumology), University Hospital KU Leuven, Leuven, Belgium.,Leuven Lung Cancer Group, University Hospital KU Leuven, Leuven, Belgium.,Laboratory of Pneumology, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
| | - J Vansteenkiste
- Respiratory Oncology Unit (Pneumology), University Hospital KU Leuven, Leuven, Belgium.,Leuven Lung Cancer Group, University Hospital KU Leuven, Leuven, Belgium.,Laboratory of Pneumology, Department of Chronic Diseases, Metabolism and Ageing, KU Leuven, Leuven, Belgium
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Chang HC, Chen YM, Tseng CC, Huang KT, Wang CC, Chen YC, Lai CH, Fang WF, Kao HC, Lin MC. Impact of epidermal growth factor receptor gene expression level on clinical outcomes in epidermal growth factor receptor mutant lung adenocarcinoma patients taking first-line epidermal growth factor receptor-tyrosine kinase inhibitors. Tumour Biol 2017; 39:1010428317695939. [PMID: 28351317 DOI: 10.1177/1010428317695939] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) are first-choice treatments for advanced non-small-cell lung cancer patients harboring EGFR mutations. Although EGFR mutations are strongly predictive of patients' outcomes and their response to treatment with EGFR-TKIs, early failure of first-line therapy with EGFR-TKIs in patients with EGFR mutations is not rare. Besides several clinical factors influencing EGFR-TKI efficacies studied earlier such as the Eastern Cooperative Oncology Group performance status or uncommon mutation, we would like to see whether semi-quantify EGFR mutation gene expression calculated by 2-ΔΔct was a prognostic factor in EGFR-mutant non-small cell lung cancer patients receiving first-line EGFR-TKIs. This retrospective study reviews 926 lung cancer patients diagnosed from January 2011 to October 2013 at the Kaohsiung Chang Gung Memorial Hospital in Taiwan. Of 224 EGFR-mutant adenocarcinoma patients, 148 patients who had 2-ΔΔct data were included. The best cutoff values of 2-ΔΔct for in-frame deletions in exon 19 (19 deletion) and a position 858 substituted from leucine (L) to an arginine (R) in exon 21 (L858R) were determined using receiver operating characteristic curves. Patients were divided into high and low 2-ΔΔct expression based on the above cutoff level. The best cutoff point of 2-ΔΔct value of 19 deletion and L858R was 31.1 and 104.7, respectively. In all, 92 (62.1%) patients showed high 2-ΔΔct expression and 56 patients (37.9%) low 2-ΔΔct expression. The mean age was 65.6 years. Progression-free survival of 19 deletion mutant patients with low versus high expression level was 17.07 versus 12.04 months (P = 0.004), respectively. Progression-free survival of L858 mutant patients was 13.75 and 7.96 months (P = 0.008), respectively. EGFR-mutant lung adenocarcinoma patients with lower EGFR gene expression had longer progression-free survival duration without interfering overall survival.
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Affiliation(s)
- Huang-Chih Chang
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yu-Mu Chen
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chia-Cheng Tseng
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Kuo-Tung Huang
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chin-Chou Wang
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Yung-Che Chen
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chien-Hao Lai
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Wen-Feng Fang
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.,2 Department of Respiratory Care, Chang Gung University of Science and Technology, Chiayi, Taiwan
| | - Hsu-Ching Kao
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Meng-Chih Lin
- 1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Chang Gung Memorial, Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
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Pineda AL, Ogoe HA, Balasubramanian JB, Rangel Escareño C, Visweswaran S, Herman JG, Gopalakrishnan V. On Predicting lung cancer subtypes using 'omic' data from tumor and tumor-adjacent histologically-normal tissue. BMC Cancer 2016; 16:184. [PMID: 26944944 PMCID: PMC4778315 DOI: 10.1186/s12885-016-2223-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 02/28/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Adenocarcinoma (ADC) and squamous cell carcinoma (SCC) are the most prevalent histological types among lung cancers. Distinguishing between these subtypes is critically important because they have different implications for prognosis and treatment. Normally, histopathological analyses are used to distinguish between the two, where the tissue samples are collected based on small endoscopic samples or needle aspirations. However, the lack of cell architecture in these small tissue samples hampers the process of distinguishing between the two subtypes. Molecular profiling can also be used to discriminate between the two lung cancer subtypes, on condition that the biopsy is composed of at least 50 % of tumor cells. However, for some cases, the tissue composition of a biopsy might be a mix of tumor and tumor-adjacent histologically normal tissue (TAHN). When this happens, a new biopsy is required, with associated cost, risks and discomfort to the patient. To avoid this problem, we hypothesize that a computational method can distinguish between lung cancer subtypes given tumor and TAHN tissue. METHODS Using publicly available datasets for gene expression and DNA methylation, we applied four classification tasks, depending on the possible combinations of tumor and TAHN tissue. First, we used a feature selector (ReliefF/Limma) to select relevant variables, which were then used to build a simple naïve Bayes classification model. Then, we evaluated the classification performance of our models by measuring the area under the receiver operating characteristic curve (AUC). Finally, we analyzed the relevance of the selected genes using hierarchical clustering and IPA® software for gene functional analysis. RESULTS All Bayesian models achieved high classification performance (AUC > 0.94), which were confirmed by hierarchical cluster analysis. From the genes selected, 25 (93 %) were found to be related to cancer (19 were associated with ADC or SCC), confirming the biological relevance of our method. CONCLUSIONS The results from this study confirm that computational methods using tumor and TAHN tissue can serve as a prognostic tool for lung cancer subtype classification. Our study complements results from other studies where TAHN tissue has been used as prognostic tool for prostate cancer. The clinical implications of this finding could greatly benefit lung cancer patients.
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Affiliation(s)
- Arturo López Pineda
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Boulevard, 15206, Pittsburgh, PA, USA.
| | - Henry Ato Ogoe
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Boulevard, 15206, Pittsburgh, PA, USA.
| | - Jeya Balaji Balasubramanian
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Boulevard, 15206, Pittsburgh, PA, USA.
| | - Claudia Rangel Escareño
- Department of Computational Genomics, National Institute of Genomic Medicine, Periferico Sur No. 4809, Col. Arenal Tepepan, Tlalpan, 14610, Mexico City, Mexico.
| | - Shyam Visweswaran
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Boulevard, 15206, Pittsburgh, PA, USA.
| | - James Gordon Herman
- Division of Hematology/Oncology, Department of Medicine, University of Pittsburgh School of Medicine, UPMC Cancer Pavilion, 5150 Centre Avenue, 15232, Pittsburgh, PA, USA.
| | - Vanathi Gopalakrishnan
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Boulevard, 15206, Pittsburgh, PA, USA.
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Vliegen L, Dooms C, De Kelver W, Verbeken E, Vansteenkiste J, Vandenberghe P. Validation of a locked nucleic acid based wild-type blocking PCR for the detection of EGFR exon 18/19 mutations. Diagn Pathol 2015; 10:57. [PMID: 26022577 PMCID: PMC4448309 DOI: 10.1186/s13000-015-0293-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 05/05/2015] [Indexed: 12/23/2022] Open
Abstract
Background Treatment decisions in advanced non-small cell lung cancer rely on accurate analysis of the EGFR mutation status in small tissue samples. Sanger sequencing of PCR products is unbiased and cheap, but its detection threshold requiring 20 % infiltration by malignant cells is not optimal. Commercial kits, based on quantitative real-time PCR have better detection limits and can detect a wide spectrum of mutations but are considerably more expensive. Methods We developed a wild-type blocking PCR for EGFR G719A/S/C (exon 18), exon 19 deletions, and exon 20 insertions using locked nucleic acid (LNA) probes. The amplification products of positive reactions were analyzed by Sanger sequencing. We retrospectively validated this assay by comparison of the EGFR mutation status as obtained with Fragment Length Analysis and the Therascreen EGFR RGQ PCR kit. Results The EGFR mutation status for exon 18 and 19 as obtained with the LNA-PCR/sequencing assay correlated adequately with the results obtained by the other independent methods. Due to the lack of structural consistency among the insertions in exon 20, the latter are less amenable for a LNA-PCR design. Conclusions The LNA-PCR/sequencing assay presented here is specific, sensitive, and has a low detection threshold. In combination with allele-specific PCR reactions for T790M (exon 20) and L858R (exon 21), a wider scope of EGFR mutations can be assessed at a lower cost. Virtual slides The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/1272520418142748
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Affiliation(s)
- Liesbet Vliegen
- Center for Human Genetics, University Hospitals Leuven, Herestraat 49,, Leuven, B-3000, Belgium.
| | - Christophe Dooms
- Respiratory Oncology Unit, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium.
| | - Wim De Kelver
- Center for Human Genetics, University Hospitals Leuven, Herestraat 49,, Leuven, B-3000, Belgium.
| | - Eric Verbeken
- Department of Pathology, University Hospitals Leuven, Herestraat 49, B-3000, Leuven, Belgium.
| | - Johan Vansteenkiste
- Respiratory Oncology Unit, University Hospitals Leuven, Herestraat 49, Leuven, B-3000, Belgium.
| | - Peter Vandenberghe
- Center for Human Genetics, University Hospitals Leuven, Herestraat 49,, Leuven, B-3000, Belgium.
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