非受体蛋白酪氨酸磷酸酶基因家族(PTPNs)参与多种癌症的发生和发展,但PTPNs在急性髓系白血病(AML)中的作用仍不清楚。根据癌症基因组图谱获得的RNA测序数据,利用泛癌分析对PTPN的表达模式和免疫学效应进行综合评估后,发现了最有价值的基因PTPN2。对不同组织和细胞中 PTPN2 表达模式的进一步研究显示与 AML 具有很强的相关性。然后将 PTPN2 与 AML 肿瘤微环境中的免疫学特征系统相关,并使用临床样本验证其差异表达。此外,我们的研究还开发了一个预测模型,并与其他模型进行了验证和比较。对PTPN家族的系统分析表明,PTPN对癌症的影响可能与介导细胞周期相关通路有关。随后发现PTPN2在血液疾病和骨髓组织中高表达,并通过临床样本验证了其在AML患者和正常人中的差异表达。基于其与免疫浸润、免疫调节剂和免疫检查点的相关性,PTPN2 被发现是免疫治疗队列中可靠的生物标志物和 AML 的预后预测因子。而PTPN2的风险评分可以准确预测癌症免疫治疗的预后和反应。这些发现揭示了 PTPN 与免疫表型之间的相关性,这可能与细胞周期有关。 PTPN2在临床AML患者和正常人之间存在差异表达。它是一种诊断生物标志物和潜在的治疗靶点,为临床治疗提供有针对性的指导。
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Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia
The non-receptor protein tyrosine phosphatases gene family (PTPNs) is involved in the tumorigenesis and development of many cancers, but the role of PTPNs in acute myeloid leukemia (AML) remains unclear. After a comprehensive evaluation on the expression patterns and immunological effects of PTPNs using a pan-cancer analysis based on RNA sequencing data obtained from The Cancer Genome Atlas, the most valuable gene PTPN2 was discovered. Further investigation of the expression patterns of PTPN2 in different tissues and cells showed a robust correlation with AML. PTPN2 was then systematically correlated with immunological signatures in the AML tumor microenvironment and its differential expression was verified using clinical samples. In addition, a prediction model, being validated and compared with other models, was developed in our research. The systematic analysis of PTPN family reveals that the effect of PTPNs on cancer may be correlated to mediating cell cycle-related pathways. It was then found that PTPN2 was highly expressed in hematologic diseases and bone marrow tissues, and its differential expression in AML patients and normal humans was verified by clinical samples. Based on its correlation with immune infiltrates, immunomodulators, and immune checkpoint, PTPN2 was found to be a reliable biomarker in the immunotherapy cohort and a prognostic predictor of AML. And PTPN2'riskscore can accurately predict the prognosis and response of cancer immunotherapy. These findings revealed the correlation between PTPNs and immunophenotype, which may be related to cell cycle. PTPN2 was differentially expressed between clinical AML patients and normal people. It is a diagnostic biomarker and potentially therapeutic target, providing targeted guidance for clinical treatment.