Literature DB >> 33280191

CREB3L1 overexpression as a potential diagnostic marker of Philadelphia chromosome-negative myeloproliferative neoplasms.

Soji Morishita1, Hajime Yasuda2, Saya Yamawaki3, Hideya Kawaji4, Masayoshi Itoh4, Yoko Edahiro2, Misa Imai2, Yasushi Kogo4, Satoshi Tsuneda3, Akimichi Ohsaka1, Yoshihide Hayashizaki4, Masafumi Ito5, Marito Araki1, Norio Komatsu2.   

Abstract

Discrimination of Philadelphia-negative myeloproliferative neoplasms (Ph-MPNs) from reactive hypercytosis and myelofibrosis requires a constellation of testing including driver mutation analysis and bone marrow biopsies. We searched for a biomarker that can more easily distinguish Ph-MPNs from reactive hypercytosis and myelofibrosis by using RNA-seq analysis utilizing platelet rich plasma (PRP) derived RNAs from patients with essential thrombocythemia (ET) and reactive thrombocytosis, and CREB3L1 was found to have an extremely high impact in discriminating the two disorders. To validate and further explore the result, expression levels of CREB3L1 in PRP were quantified by reverse transcription quantitative PCR and compared among patients with ET, other Ph-MPNs, chronic myeloid leukemia (CML), and reactive hypercytosis and myelofibrosis. A CREB3L1 expression cut-off value determined based on PRP of 18 healthy volunteers accurately discriminated 150 driver mutation-positive Ph-MPNs from other entities (71 reactive hypercytosis and myelofibrosis, 6 CML, and 18 healthy volunteers) and showed both sensitivity and specificity of 1.0000. Importantly, CREB3L1 expression levels were significantly higher in ET compared to reactive thrombocytosis (p < 0.0001), and polycythemia vera compared to reactive erythrocytosis (p < 0.0001). Pathology-affirmed triple-negative ET (TN-ET) patients were divided into a high and low CREB3L1 expression group, and some patients in the low expression group achieved a spontaneous remission during the clinical course. In conclusion, CREB3L1 analysis has the potential to single-handedly discriminate driver mutation-positive Ph-MPNs from reactive hypercytosis and myelofibrosis, and also may identify a subgroup within TN-ET showing distinct clinical features including spontaneous remission. Table S1. Clinical characteristics of 150 patients with driver mutation-positive Philadelphia-negative myeloproliferative neoplasms. Table S2. List of the 57 differentially expressed genes (DEGs) and results of differential expression analysis and principal component analysis. Table S3. Clinical characteristics of pathology-affirmed triple-negative essential thrombocythemia patients with or without CREB3L1 overexpression. Fig. S1. Schematic illustration of the filtering process of CREB3L1 as an MPN-specific diagnostic marker. Fig. S2. Scatter plots showing correlations between CREB3L1 expression levels and various parameters. Fig. S3. CREB3L1 expression diminished after successful bone marrow transplantation. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  CREB3L1; Philadelphia-negative myeloproliferative neoplasms; RNA-seq; biomarker; platelet RNA

Year:  2020        PMID: 33280191     DOI: 10.1111/cas.14763

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  3 in total

1.  Effects of endoplasmic reticulum stress-mediated CREB3L1 on apoptosis of glioma cells.

Authors:  Zhao Yan; Yaxin Hu; Yiwei Zhang; Qian Pu; Liangzhao Chu; Jian Liu
Journal:  Mol Clin Oncol       Date:  2022-02-15

2.  The Clinical Significance and Potential Molecular Mechanism of Upregulated CDC28 Protein Kinase Regulatory Subunit 1B in Osteosarcoma.

Authors:  Chaohua Mo; Le Xie; Chang Chen; Jie Ma; Yingxin Huang; Yanxing Wu; Yuanyuan Xu; Huizhi Peng; Zengwei Chen; Rongjun Mao
Journal:  J Oncol       Date:  2021-12-10       Impact factor: 4.375

3.  Pan-cancer analysis of CREB3L1 as biomarker in the prediction of prognosis and immunotherapeutic efficacy.

Authors:  Zhengjun Lin; Yanlin Wu; XunGang Xiao; Xianghong Zhang; Jia Wan; Tao Zheng; Hongxuan Chen; Tang Liu; Xianzhe Tang
Journal:  Front Genet       Date:  2022-09-09       Impact factor: 4.772

  3 in total

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