Ultradeep Sequencing Analysis of Paroxysmal Nocturnal Hemoglobinuria Clones Detected by Flow Cytometry: PIG Mutation in Small PNH Clones

Author:

Jeong Dajeong1ORCID,Park Hee Sue2,Kim Sung-Min3,Im Kyongok3,Yun Jiwon1,Lee Young Eun1,Ryu Sohee1ORCID,Ahn Yong-Oon3,Yoon Sung-Soo34,Lee Dong Soon13

Affiliation:

1. Department of Laboratory Medicine, Seoul National University Hospital, Seoul, Korea

2. Department of Laboratory Medicine, Chungbuk National University Hospital, Cheongju, Korea

3. Cancer Research Institute, Seoul National University College of Medicine, Seoul, Korea

4. Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea

Abstract

Abstract Objectives We aimed to determine whether small paroxysmal nocturnal hemoglobinuria (PNH) clones detected by flow cytometry (FCM) harbor PIG gene mutations with quantitative correlation. Methods We analyzed 89 specimens from 63 patients whose PNH clone size was ≥0.1% by FCM. We performed ultradeep sequencing for the PIGA, PIGM, PIGT, and PIGX genes in these specimens. Results A strong positive correlation between PNH clone size by FCM and variant allele frequency (VAF) of PIG gene mutation was identified (RBCs: r = 0.77, P < .001; granulocytes: r = 0.68, P < .001). Granulocyte clone size of 2.5% or greater and RBCs 0.4% or greater by FCM always harbored PIG gene mutations. Meanwhile, in patients with clone sizes of less than 2.5% in granulocytes or less than 0.4% in RBCs, PIG gene mutations were present in only 15.9% and 12.2% of cases, respectively. In addition, there was not a statistically significant positive correlation between FCM clone size and VAF or the presence or absence of a PIG mutation. Conclusions Our results showed that in small PNH clones PIG gene mutations were present in only a small portion without significant correlation to VAF or the presence or absence of a PIG mutation.

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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