Cytomorphometric and flow cytometric analyses using liquid‐based cytology materials in subtypes of lung adenocarcinoma. Issue 8 (14th May 2022)

• Record Type: Journal Article
• Authors: Tanaka, Ryota; Fujiwara, Masachika; Sakamoto, Norihiko; Suzuki, Hitomi; Tachibana, Keisei; Ohtsuka, Kouki; Kishimoto, Koji; Kamma, Hiroshi; Shibahara, Junji; Kondo, Haruhiko
• Is Part Of: Diagnostic cytopathology. Volume 50:Issue 8(2022)
• Page Start: 394
• Page End: 403
• Publication Date: 2022-05-14
• Subjects: cytomorphological subtypes -- flow cytometry -- liquid‐based cytology -- lung adenocarcinoma -- morphometry; Cytodiagnosis -- Periodicals; Pathology, Cellular -- Periodicals; Cytology -- Periodicals; 616.07582
• DOI: 10.1002/dc.24978
• Languages: English
• ISSNs: 8755-1039

Abstract

Abstract: Background: The histological classifications of invasive lung adenocarcinoma subtypes are considered to predict patient prognosis after surgical treatment. The objectives of this study were to evaluate cytomorphological characteristics and proliferative activities among the histological predominant patterns by performing cytomorphometric and flow cytometric analyses using liquid‐based cytology materials. Methods: Cytological samples fixed by liquid‐based cytology preservatives from 53 surgically‐resected lung adenocarcinoma specimens were obtained between August 2018 and November 2019. The Papanicolaou‐stained and paired Ki‐67‐stained slides were analyzed for calculating nuclear morphology (nuclear area, nuclear perimeter and nuclear circularity) and Ki‐67 labeling index using software. The cell proliferation index (CPIx) was calculated and cellular information including cell cycle stage of tumor cells was obtained by flow cytometry. Results: The 53 cases included papillary (n = 29), acinar (n = 8), lepidic (n = 5), and solid (n = 4) subtypes, and invasive mucinous adenocarcinoma (n = 7) were also included. In the lepidic pattern, nuclear area (79.6 ± 28.8 μm 2 ) and perimeter (34.1 ± 6.1 μm) were relatively larger and longer than those of the other predominant patterns. The Ki‐67 labeling index of the solid pattern (27.9 ± 12.5%) was highest compared with those of other predominant patterns. There were statistically significant differences in the lepidic versus solid patterns and the papillary versus solid patterns ( p = .013 and p = .039, respectively). The calculated mean CPIx of the lepidic and the acinar patterns were approximately two‐fold higher than those of the other predominant patterns. Conclusion: By revealing the differences of cytomorphological characteristics, these methodologies might be used for diagnosing cytopathological materials using digital cytopathology.