Genome analysis of peeling archival cytology samples detects driver mutations in lung cancer

Bibliographic Details
Title: Genome analysis of peeling archival cytology samples detects driver mutations in lung cancer
Authors: Kei Kunimasa, Yosuke Hirotsu, Kenji Amemiya, Yuki Nagakubo, Taichiro Goto, Yoshihiro Miyashita, Yumiko Kakizaki, Toshiharu Tsutsui, Sotaro Otake, Hiroaki Kobayashi, Rumi Higuchi, Kie Inomata, Takashi Kumagai, Hitoshi Mochizuki, Harumi Nakamura, Shin‐ichi Nakatsuka, Kazumi Nishino, Fumio Imamura, Toru Kumagai, Toshio Oyama, Masao Omata
Source: Cancer Medicine, Vol 9, Iss 13, Pp 4501-4511 (2020)
Publisher Information: Wiley, 2020.
Publication Year: 2020
Collection: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Subject Terms: cytology, driver mutation, fusion gene, lung cancer, next‐generation sequence, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
More Details: Abstract Introductions When tumor tissue samples are unavailable to search for actionable driver mutations, archival cytology samples can be useful. We investigate whether archival cytology samples can yield reliable genomic information compared to corresponding formalin‐fixed paraffin‐embedded (FFPE) tumor samples. Patients and Methods Pretreatment class V archival cytology samples with adequate tumor cells were selected from 172 lung cancer patients. The genomic profiles of the primary lung tumors have been analyzed through whole‐exome regions of 53 genes. We compared the genomic profiles based on the oncogenicity and variant allele frequency (VAF) between the archival cytology and the corresponding primary tumors. We also analyzed the genomic profiles of serial cytological samples during the treatment of EGFR‐TKI. Results A total of 43 patients were analyzed with the paired samples for DNA mutations and other three patients were analyzed for their fusion genes. A total of 672 mutations were detected. Of those, 106 mutations (15.8%) were shared with both samples. Sixty of seventy‐seven (77.9%) shared mutations were oncogenic or likely oncogenic mutations with VAF ≧10%. As high as 90% (9/10) actionable driver mutations and ALK and ROS1 fusion genes were successfully detected from archival cytology samples. Sequential analysis revealed the dynamic changes in EGFR‐TKI‐resistant mutation (EGFR p.T790M) during the course of treatment. Conclusion Archival cytology sample with adequate tumor cells can yield genetic information compared to the primary tumors. If tumor tissue samples are unavailable, we can use archival cytology samples to search for actionable driver mutations.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2045-7634
Relation: https://doaj.org/toc/2045-7634
DOI: 10.1002/cam4.3089
Access URL: https://doaj.org/article/75f0fcd978ad4f3bae7726af3c2c4b63
Accession Number: edsdoj.75f0fcd978ad4f3bae7726af3c2c4b63
Database: Directory of Open Access Journals
More Details
ISSN:20457634
DOI:10.1002/cam4.3089
Published in:Cancer Medicine
Language:English