Novel flowcytometry-based approach of malignant cell detection in body fluids using an automated hematology analyzer

Tomohiko Ai, Yoko Tabe, Hiroyuki Takemura, Konobu Kimura, Toshihiro Takahashi, Haeun Yang, Koji Tsuchiya, Aya Konishi, Kinya Uchihashi, Takashi Horii, Akimichi Ohsaka

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Morphological microscopic examinations of nucleated cells in body fluid (BF) samples are performed to screen malignancy. However, the morphological differentiation is time-consuming and labor-intensive. This study aimed to develop a new flowcytometry-based gating analysis mode “XN-BF gating algorithm” to detect malignant cells using an automated hematology analyzer, Sysmex XN-1000. XN-BF mode was equipped with WDF white blood cell (WBC) differential channel. We added two algorithms to the WDF channel: Rule 1 detects larger and clumped cell signals compared to the leukocytes, targeting the clustered malignant cells; Rule 2 detects middle sized mononuclear cells containing less granules than neutrophils with similar fluorescence signal to monocytes, targeting hematological malignant cells and solid tumor cells. BF samples that meet, at least, one rule were detected as malignant. To evaluate this novel gating algorithm, 92 various BF samples were collected. Manual microscopic differentiation with the May-Grunwald Giemsa stain and WBC count with hemocytometer were also performed. The performance of these three methods were evaluated by comparing with the cytological diagnosis. The XN-BF gating algorithm achieved sensitivity of 63.0% and specificity of 87.8% with 68.0% for positive predictive value and 85.1% for negative predictive value in detecting malignant-cell positive samples. Manual microscopic WBC differentiation and WBC count demonstrated 70.4% and 66.7% of sensitivities, and 96.9% and 92.3% of specificities, respectively. The XN-BF gating algorithm can be a feasible tool in hematology laboratories for prompt screening of malignant cells in various BF samples.

Original languageEnglish (US)
Article numbere0190886
JournalPLoS One
Volume13
Issue number2
DOIs
StatePublished - Feb 1 2018
Externally publishedYes

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body fluids
Body fluids
Body Fluids
Hematology
hematology
Blood
cells
leukocytes
Leukocytes
Leukocyte Count
leukocyte count
sampling
Cells
cell differentiation
monocytes
neutrophils
Tumors
Monocytes
Cell Differentiation
granules

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Novel flowcytometry-based approach of malignant cell detection in body fluids using an automated hematology analyzer. / Ai, Tomohiko; Tabe, Yoko; Takemura, Hiroyuki; Kimura, Konobu; Takahashi, Toshihiro; Yang, Haeun; Tsuchiya, Koji; Konishi, Aya; Uchihashi, Kinya; Horii, Takashi; Ohsaka, Akimichi.

In: PLoS One, Vol. 13, No. 2, e0190886, 01.02.2018.

Research output: Contribution to journalArticle

Ai, T, Tabe, Y, Takemura, H, Kimura, K, Takahashi, T, Yang, H, Tsuchiya, K, Konishi, A, Uchihashi, K, Horii, T & Ohsaka, A 2018, 'Novel flowcytometry-based approach of malignant cell detection in body fluids using an automated hematology analyzer', PLoS One, vol. 13, no. 2, e0190886. https://doi.org/10.1371/journal.pone.0190886
Ai, Tomohiko ; Tabe, Yoko ; Takemura, Hiroyuki ; Kimura, Konobu ; Takahashi, Toshihiro ; Yang, Haeun ; Tsuchiya, Koji ; Konishi, Aya ; Uchihashi, Kinya ; Horii, Takashi ; Ohsaka, Akimichi. / Novel flowcytometry-based approach of malignant cell detection in body fluids using an automated hematology analyzer. In: PLoS One. 2018 ; Vol. 13, No. 2.
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