CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Association of the composition of the bone marrow tumor microenvironment in BCR::ABL1-negative myeloproliferative neoplasms with IFN-γ signaling and driver mutations.
Association of the composition of the bone marrow tumor microenvironment in BCR::ABL1-negative myeloproliferative neoplasms with IFN-γ signaling and driver mutations.
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组成型 JAK/STAT 通路激活在 BCR::ABL1 阴性骨髓增殖性肿瘤 (MPN) 的发病机制中至关重要,但尚未与干扰素 (IFN) 信号传导和肿瘤微环境相关。人类 JAK2 V617F 突变细胞系、两个 MPN 队列的 265 个骨髓活检 (BMB) 和 50 个非肿瘤性 BMB 揭示了 IFN-信号传导的内在激活,这一点已得到公共 RNA 表达数据的证实。JAK2突变细胞系的体外分析表明,在细胞上清液中不存在IFN-的情况下,IFN-信号通路被激活。
此外,在 JAK2 突变样本的 BMB 中发现了异质但增加的 IFN-信号成分表达,其中在淋巴细胞和单核细胞中表达最高,并伴有TIL(肿瘤浸润淋巴细胞)增加。无监督聚类在两个患者队列中确定了一个预后良好的聚类,其特征是 IFN-信号传导和 TIL 增强。该簇富含 JAK2 突变、JAK 抑制的初始 MPN,主要是原发性血小板增多症和真性红细胞增多症,伴有轻度骨髓纤维化。
此外,计算机数据证实了 JAK2 突变与 IFN-信号传导增强之间的联系。多变量 Cox 回归显示 TIL 是最强的预后标志物。
总之,JAK2 突变的 MPN 表现出与 BM TME 和患者结果变化相关的 IFN 信号传导的内在激活。主要由多能造血干细胞 (HSC) 中 JAK2、CALR 和 MPL 基因突变介导的 Janus 激酶和信号转导子和转录激活子 (JAK/STAT) 信号通路的组成性激活对于 BCR::ABL1 阴性骨髓增殖性肿瘤 (MPN) 的发病机制至关重要。尽管在患者样本以及 JAK2 和 CALR 突变细胞系统中对 JAK/STAT 信号传导的激活及其对恶性细胞增殖的影响进行了深入研究,但有关干扰素 (IFN) 信号传导与骨髓 (BM) 环境改变之间联系的信息有限。
因此,我们分析了两个人 JAK2 V617F 突变细胞系、265 个 MPN 患者的骨髓活检 (BMB),分为两个独立队列,均具有已知的临床参数,如驱动突变、治疗和生存、50 个非肿瘤性 BMB 和五个公开的具有已知 JAK2 或 CALR 突变状态的 MPN 样本的批量和单细胞 RNA 表达数据集,分析了 (i) IFN-信号传导的作用,(ii) 其与局部骨髓肿瘤微环境(TME)的组成,(iii)免疫反应相关分子的表达以及(iv)它们对患者生存的影响。在 BioRender 中创建。鲍尔,M.(2025)https://BioRender.com/h133y7w。
Constitutive JAK/STAT pathway activation is crucial in the pathogenesis of BCR::ABL1-negative myeloproliferative neoplasms (MPN), but has not yet been linked to interferon (IFN)- signaling and tumor microenvironment.
Human JAK2 V617F-mutated cell lines, 265 bone marrow biopsies (BMB) of two MPN cohorts, and 50 non-neoplastic BMB, revealed an intrinsic activation of IFN- signaling, which was confirmed by public RNA expression data. In vitro analysis of JAK2-mutated cell lines showed an activation of IFN- signaling pathway in the absence of IFN- in the cell supernatants.
In addition, a heterogeneous, but increased expression of IFN- signaling components was found in BMB of JAK2-mutated samples with the highest expression in lymphocytes and monocytes, accompanied by increased tumor infiltrating lymphocytes (TIL). Unsupervised clustering identified a prognostic favorable cluster in both patient cohorts characterized by augmented IFN- signaling and TILs. This cluster was enriched with JAK2-mutated, JAK-inhibition naive MPN, mainly essential thrombocythemia and polycythemia vera with mild bone marrow fibrosis.
Moreover, in silico data confirmed the link between JAK2 mutations and increased IFN- signaling. Multivariate Cox regression revealed TILs to be the strongest prognostic marker.
In conclusion, JAK2-mutated MPN exhibit an intrinsic activation of IFN- signaling associated with changes in the BM TME and patients' outcome. Constitutive activation of the Janus kinases and signal transducer and activator of transcription (JAK/STAT) signaling pathway mainly mediated by mutations in the JAK2, CALR and MPL genes in pluripotent hematopoietic stem cells (HSC) is crucial for the pathogenesis of BCR::ABL1-negative myeloproliferative neoplasms (MPN).
Despite the activation of JAK/STAT signaling and its influence on the proliferation of malignant cells is well studied in patient samples and JAK2- and CALR-mutated cell systems, there exists limited information about the link between interferon (IFN)- signaling and bone marrow (BM) environment alterations.
Therefore, two human JAK2 V617F-mutated cell lines, 265 bone marrow biopsies (BMB) of MPN patients, separated in two independent cohorts, both with known clinical parameters, such as driver mutations, treatment and survival, 50 non-neoplastic BMB and five publicly available bulk and single cell RNA expression data sets of MPN samples with known JAK2 or CALR mutation status were analyzed regarding (i) the role of IFN- signaling, (ii) its interrelation with the composition of the local BM tumor microenvironment (TME), (iii) the expression of immune response relevant molecules and (iv) their impact on patients' survival.
Created in BioRender. Bauer, M. (2025) https://BioRender. com/h133y7w .
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