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      Evaluating Diff‐Quik cytology smears for large‐panel mutation testing in lung cancer—Predicting DNA content and success with low‐malignant‐cellularity samples

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          Abstract

          Background

          Cytology smears are commonly collected during endobronchial ultrasound–guided transbronchial needle aspiration (EBUS TBNA) procedures but are rarely used for molecular testing. Studies are needed to demonstrate their great potential, in particular for the prediction of malignant cell DNA content and for utility in molecular diagnostics using large gene panels.

          Methods

          A prospective study was performed on samples from 66 patients with malignant lymph nodes who underwent EBUS TBNA. All patients had air‐dried, Diff‐Quik cytology smears and formalin‐fixed, paraffin‐embedded cell blocks collected for cytopathology and molecular testing. One hundred eighty‐five smears were evaluated by microscopy to estimate malignant cell percentage and abundance and to calculate smear size and were subjected to DNA extraction. DNA from 56 smears from 27 patients was sequenced with the TruSight Oncology 500 assay (Illumina).

          Results

          Each microscopy parameter had a significant effect on the DNA yield. An algorithm was developed that predicted a >50‐ng DNA yield of a smear with an area under the curve of 0.86. Fifty DNA samples (89%) with varying malignant yields were successfully sequenced. Low‐malignant‐cell content (<25%) and smear area (<15%) were the main reasons for failure. All standard‐of‐care mutations were detected in replicate smears from individual patients, regardless of malignant cell content. Tier 1/2 mutations were discovered in two cases where standard‐of‐care specimens were inadequate for sequencing. Smears were scored for tumor mutation burden.

          Conclusions

          Microscopy of Diff‐Quik smears can triage samples for comprehensive panel sequencing, which highlights smears as an excellent alternative to traditional testing with cell blocks.

          Abstract

          Diff‐Quik cytology smears are a valuable source of material for molecular testing in lung and other cancers. Even smears yielding low‐malignant‐cell content are of great use in high‐depth, targeted gene panel sequencing assays.

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          Most cited references32

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          Recommendations for the use of next-generation sequencing (NGS) for patients with metastatic cancers: a report from the ESMO Precision Medicine Working Group

          Next-generation sequencing (NGS) allows sequencing of a high number of nucleotides in a short time frame at an affordable cost. While this technology has been widely implemented, there are no recommendations from scientific societies about its use in oncology practice. The European Society for Medical Oncology (ESMO) is proposing three levels of recommendations for the use of NGS. Based on the current evidence, ESMO recommends routine use of NGS on tumour samples in advanced non-squamous non-small-cell lung cancer (NSCLC), prostate cancers, ovarian cancers and cholangiocarcinoma. In these tumours, large multigene panels could be used if they add acceptable extra cost compared with small panels. In colon cancers, NGS could be an alternative to PCR. In addition, based on the KN158 trial and considering that patients with endometrial and small-cell lung cancers should have broad access to anti-programmed cell death 1 (anti-PD1) antibodies, it is recommended to test tumour mutational burden (TMB) in cervical cancers, well- and moderately-differentiated neuroendocrine tumours, salivary cancers, thyroid cancers and vulvar cancers, as TMB-high predicted response to pembrolizumab in these cancers. Outside the indications of multigene panels, and considering that the use of large panels of genes could lead to few clinically meaningful responders, ESMO acknowledges that a patient and a doctor could decide together to order a large panel of genes, pending no extra cost for the public health care system and if the patient is informed about the low likelihood of benefit. ESMO recommends that the use of off-label drugs matched to genomics is done only if an access programme and a procedure of decision has been developed at the national or regional level. Finally, ESMO recommends that clinical research centres develop multigene sequencing as a tool to screen patients eligible for clinical trials and to accelerate drug development, and prospectively capture the data that could further inform how to optimise the use of this technology.
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            Technical Aspects of Endobronchial Ultrasound-Guided Transbronchial Needle Aspiration: CHEST Guideline and Expert Panel Report.

            Endobronchial ultrasound (EBUS) was introduced in the last decade, enabling real-time guidance of transbronchial needle aspiration (TBNA) of mediastinal and hilar structures and parabronchial lung masses. The many publications produced about EBUS-TBNA have led to a better understanding of the performance characteristics of this procedure. The goal of this document was to examine the current literature on the technical aspects of EBUS-TBNA as they relate to patient, technology, and proceduralist factors to provide evidence-based and expert guidance to clinicians.
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              A high frequency of sequence alterations is due to formalin fixation of archival specimens.

              Genomic analysis of archival tissues fixed in formalin is of fundamental importance in biomedical research, and numerous studies have used such material. Although the possibility of polymerase chain reaction (PCR)-introduced artifacts is known, the use of direct sequencing has been thought to overcome such problems. Here we report the results from a controlled study, performed in parallel on frozen and formalin-fixed material, where a high frequency of nonreproducible sequence alterations was detected with the use of formalin-fixed tissues. Defined numbers of well-characterized tumor cells were amplified and analyzed by direct DNA sequencing. No nonreproducible sequence alterations were found in frozen tissues. In formalin-fixed material up to one mutation artifact per 500 bases was recorded. The chance of such artificial mutations in formalin-fixed material was inversely correlated with the number of cells used in the PCR-the fewer cells, the more artifacts. A total of 28 artificial mutations were recorded, of which 27 were C-T or G-A transitions. Through confirmational sequencing of independent amplification products artifacts can be distinguished from true mutations. However, because this problem was not acknowledged earlier, the presence of artifacts may have profoundly influenced previously reported mutations in formalin-fixed material, including those inserted into mutation databases.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Cancer Cytopathology
                Cancer Cytopathology
                Wiley
                1934-662X
                1934-6638
                June 2023
                March 20 2023
                June 2023
                : 131
                : 6
                : 373-382
                Affiliations
                [1 ] Department of Thoracic Medicine Royal Brisbane and Women’s Hospital Brisbane Queensland Australia
                [2 ] UQ Centre for Clinical Research Faculty of Medicine University of Queensland Brisbane Queensland Australia
                [3 ] Pathology Queensland Royal Brisbane and Women’s Hospital Brisbane Queensland Australia
                [4 ] QIMR Berghofer Medical Research Institute Brisbane Queensland Australia
                [5 ] Department of Thoracic Medicine Sunshine Coast University Hospital Birtinya Queensland Australia
                [6 ] Department of Respiratory Medicine Gold Coast University Hospital Southport Queensland Australia
                [7 ] ACL Pathology Bellavista New South Wales Australia
                [8 ] School of Biomedical Sciences, University of Queensland St Lucia Queensland Australia
                Article
                10.1002/cncy.22690
                36938641
                5d1ce32b-6b9f-46d7-b3bb-4af1bea8301a
                © 2023

                http://creativecommons.org/licenses/by-nc-nd/4.0/

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