Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Aachen, Germany.
Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf (CIO ABCD), Aachen, Germany.
Ann Hematol. 2021 Dec;100(12):2943-2956. doi: 10.1007/s00277-021-04615-8. Epub 2021 Aug 14.
Myeloproliferative neoplasms (MPN), comprising essential thrombocythemia (ET), polycythemia vera (PV), and primary myelofibrosis (PMF), are hematological disorders of the myeloid lineage characterized by hyperproliferation of mature blood cells. The prediction of the clinical course and progression remains difficult and new therapeutic modalities are required. We conducted a CD34 gene expression study to identify signatures and potential biomarkers in the different MPN subtypes with the aim to improve treatment and prevent the transformation from the rather benign chronic state to a more malignant aggressive state. We report here on a systematic gene expression analysis (GEA) of CD34 peripheral blood or bone marrow cells derived from 30 patients with MPN including all subtypes (ET (n = 6), PV (n = 11), PMF (n = 9), secondary MF (SMF; post-ET-/post-PV-MF; n = 4)) and six healthy donors. GEA revealed a variety of differentially regulated genes in the different MPN subtypes vs. controls, with a higher number in PMF/SMF (200/272 genes) than in ET/PV (132/121). PROGENγ analysis revealed significant induction of TNFα/NF-κB signaling (particularly in SMF) and reduction of estrogen signaling (PMF and SMF). Consistently, inflammatory GO terms were enriched in PMF/SMF, whereas RNA splicing-associated biological processes were downregulated in PMF. Differentially regulated genes that might be utilized as diagnostic/prognostic markers were identified, such as AREG, CYBB, DNTT, TIMD4, VCAM1, and S100 family members (S100A4/8/9/10/12). Additionally, 98 genes (including CLEC1B, CMTM5, CXCL8, DACH1, and RADX) were deregulated solely in SMF and may be used to predict progression from early to late stage MPN.
骨髓增殖性肿瘤(MPN)包括特发性血小板增多症(ET)、真性红细胞增多症(PV)和原发性骨髓纤维化(PMF),是一种血液系统疾病,其特征是成熟血细胞的过度增殖。预测其临床过程和进展仍然困难,需要新的治疗方法。我们进行了 CD34 基因表达研究,以确定不同 MPN 亚型中的特征和潜在生物标志物,旨在改善治疗效果并防止从良性慢性状态向更恶性侵袭性状态的转化。我们在此报告了对 30 名 MPN 患者(包括所有亚型[ET(n=6)、PV(n=11)、PMF(n=9)、继发 MF(SMF;ET-/PV-MF 后;n=4)]和 6 名健康供体的外周血或骨髓 CD34 细胞进行的系统基因表达分析(GEA)。GEA 显示了不同 MPN 亚型与对照相比存在多种差异表达的基因,其中 PMF/SMF(200/272 个基因)比 ET/PV(132/121 个基因)更多。PROGENγ 分析显示 TNFα/NF-κB 信号的显著诱导(特别是在 SMF 中)和雌激素信号的减少(PMF 和 SMF)。一致地,PMF/SMF 中富集了炎症 GO 术语,而 PMF 中 RNA 剪接相关的生物学过程下调。鉴定了可能用作诊断/预后标志物的差异调节基因,如 AREG、CYBB、DNTT、TIMD4、VCAM1 和 S100 家族成员(S100A4/8/9/10/12)。此外,仅在 SMF 中下调了 98 个基因(包括 CLEC1B、CMTM5、CXCL8、DACH1 和 RADX),可用于预测从早期到晚期 MPN 的进展。