Literature DB >> 32801340

A new diagnostic algorithm using biopsy specimens in adult T-cell leukemia/lymphoma: combination of RNA in situ hybridization and quantitative PCR for HTLV-1.

Mitsuyoshi Takatori1, Shugo Sakihama1, Megumi Miyara2, Naoki Imaizumi3, Takashi Miyagi4, Kazuiku Ohshiro5, Iwao Nakazato6, Masaki Hayashi7, Junpei Todoroki8, Satoko Morishima9, Hiroaki Masuzaki9, Takuya Fukushima10, Kennosuke Karube11.   

Abstract

Histopathological distinction between adult T-cell leukemia/lymphoma (ATLL) and other T-cell neoplasms is often challenging. The current gold standard for the accurate diagnosis of ATLL is the Southern blot hybridization (SBH) assay, which detects clonal integration of human T-cell leukemia virus type I (HTLV-1) provirus. However, SBH cannot be performed with small biopsy or formalin-fixed paraffin-embedded (FFPE) tissue samples because this assay requires a large amount of DNA without degradation. Here we developed a new diagnostic algorithm for the accurate diagnosis of ATLL using FFPE samples. This method combines two HTLV-1 detection assays, namely, ultrasensitive RNA in situ hybridization using RNAscope for HTLV-1 bZIP factor (HBZ-RNAscope), and quantitative PCR targeting the tax gene (tax-qPCR). We analyzed 119 FFPE tissue specimens (62 ATLL, and 57 non-ATLL, including 41 HTLV-1 carriers) and compared them with the SBH results using the corresponding fresh-frozen samples. As a result, tax-qPCR had a higher ATLL identification rate than HBZ-RNAscope (88% [52/59], and 63% [39/62], respectively). However, HBZ-RNAscope clearly visualized the localization of HTLV-1-infected tumor cells and its identification rate increased to 94% (17/18) when the analysis was limited to samples up to 2 years old, indicating its usefulness in the daily diagnosis. The diagnostic algorithm combining these two assays successfully evaluated 94% (112/119) of samples and distinguished ATLL from non-ATLL cases including HTLV-1 carriers with 100% sensitivity and specificity. This method is expected to replace SBH and increase the accuracy of the diagnosis of ATLL.

Entities:  

Year:  2020        PMID: 32801340      PMCID: PMC7806504          DOI: 10.1038/s41379-020-0635-8

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  3 in total

1.  Identification of a protein (p40x) encoded by a unique sequence pX of human T-cell leukemia virus type I.

Authors:  T Kiyokawa; M Seiki; K Imagawa; F Shimizu; M Yoshida
Journal:  Gan       Date:  1984-09

2.  Real-time polymerase chain reaction for quantification of HTLV-1 proviral load: application for analyzing aberrant integration of the proviral DNA in adult T-cell leukemia.

Authors:  S Kamihira; N Dateki; K Sugahara; Y Yamada; M Tomonaga; T Maeda; M Tahara
Journal:  Int J Hematol       Date:  2000-07       Impact factor: 2.490

3.  Expression of human T-cell leukaemia virus type I and associated antigens, and interleukin-2 and receptor in lymph nodes of adult T-cell leukaemia/lymphoma.

Authors:  K Ohshima; M Kikuchi; S Kobari; H Shiraki; Y Sumiyoshi; S Yoneda; Y Masuda; M Takeshita; N Kimura
Journal:  Virchows Arch       Date:  1994       Impact factor: 4.064

  3 in total
  4 in total

1.  Clinicopathological features of adult T-cell leukemia/lymphoma with HTLV-1-infected Hodgkin and Reed-Sternberg-like cells.

Authors:  Kennosuke Karube; Mitsuyoshi Takatori; Shugo Sakihama; Yuma Tsuruta; Takashi Miyagi; Kazuho Morichika; Sakiko Kitamura; Norihiro Nakada; Masaki Hayashi; Shohei Tomori; Iwao Nakazato; Kazuiku Ohshiro; Naoki Imaizumi; Yara Yukie Kikuti; Naoya Nakamura; Satoko Morishima; Hiroaki Masuzaki; Takuya Fukushima
Journal:  Blood Adv       Date:  2021-01-12

Review 2.  Genetic Alterations in Adult T-Cell Leukemia/Lymphoma: Novel Discoveries with Clinical and Biological Significance.

Authors:  Shugo Sakihama; Kennosuke Karube
Journal:  Cancers (Basel)       Date:  2022-05-12       Impact factor: 6.575

3.  Incidence of lymphoid neoplasms among atomic bomb survivors by histological subtype, 1950 to 1994.

Authors:  Megumu Fujihara; Ritsu Sakata; Noriaki Yoshida; Kotaro Ozasa; Dale L Preston; Kiyohiko Mabuchi
Journal:  Blood       Date:  2022-01-13       Impact factor: 22.113

4.  A Random Walk-Based Method to Identify Candidate Genes Associated With Lymphoma.

Authors:  Minjie Sheng; Haiying Cai; Qin Yang; Jing Li; Jian Zhang; Lihua Liu
Journal:  Front Genet       Date:  2021-11-25       Impact factor: 4.599

  4 in total

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