[Application of serum tumor specific protein 70 for prognostic stratification in acute myeloid leukemia].

Q3 Medicine
Y L Huang, F Jin, L X Zhang, Y Mu, F Y Lu, W Y Xia, Q Zhu, S X Yang, J Xu, S Y Pan
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引用次数: 0

Abstract

Objective: To assess the value of serum tumor specific protein 70 (SP70) for prognostic stratification in acute myeloid leukemia (AML). Methods: A cohort study design was adopted. 129 newly diagnosed AML patients from September 2022 to January 2024 at the Hematology Department of the First Affiliated Hospital of Nanjing Medical University were included, as well as a control group consisted of 120 healthy individuals and 7 cases with benign hematologic diseases during the same period (total 127 cases). Clinical data were collected from Electronic Medical Records. According to the 2023 edition of the Chinese Leukemia Diagnosis and Treatment Guidelines, AML patients with good or moderate prognosis were categorized as low-to-intermediate risk, while those with poor prognosis were high-risk group. Univariate and multivariate logistic regression analyses were used to identify variables significantly associated with AML prognostic risk. ROC analysis was used to evaluate diagnostic performance. A nomogram for predicting patient prognostic risk was constructed by R 4.0.2 software, and the internal validation was performed using bootstrapping. Results: Among 129 AML patients, there were 71 males (55.0%) and 58 females (45.0%), with 42 (32.6%) classified as high-risk and 87 (67.4%) as low-intermediate risk. The high-risk group had a significantly higher median age [62 (48, 67) years] compared to the low-intermediate risk group [50 (35, 63) years, Z=-2.381, P=0.017], and a significantly higher proportion of males (30 patients, 71.4%) compared to the low-intermediate risk group (41 patients, 47.1%, χ2=6.760, P=0.009). Multivariate logistic regression analysis indicated that serum SP70 (OR=2.54, 95%CI: 1.68-3.84, P<0.001), hemoglobin (HB) (OR=0.96, 95%CI: 0.93-0.99, P<0.05), and bone marrow blast (BM blast) (OR=1.07, 95%CI: 1.02-1.13, P<0.05) were independent risk factors for high-risk prognosis in AML patients. ROC analysis showed that the area under the curve (AUC) for SP70 predicting high-risk patients was 0.908 (cut-off value of 5.74 ng/ml, 95%CI: 0.845-0.952, sensitivity 90.5%, specificity 82.8%). The combined model of serum SP70, HB, and BM blasts had an AUC of 0.931 (95%CI: 0.890-0.973); C-index=0.925 (95%CI: 0.876-0.963),with no statistically significant difference compared to serum SP70 alone (Z=1.693,P>0.05). Conclusion: Serum SP70 may be a promising non-invasive molecular biomarker for prognostic stratification in AML.

[血清肿瘤特异性蛋白 70 在急性髓性白血病预后分层中的应用]。
研究目的评估血清肿瘤特异性蛋白 70(SP70)对急性髓性白血病(AML)预后分层的价值。方法:采用队列研究设计:采用队列研究设计。纳入南京医科大学第一附属医院血液科2022年9月至2024年1月新确诊的129例AML患者,以及由120例健康人和同期7例良性血液病患者组成的对照组(共127例)。临床数据来自电子病历。根据《中国白血病诊疗指南(2023年版)》,预后良好或中等的急性髓细胞白血病患者被划分为中低风险组,预后不良的患者为高风险组。采用单变量和多变量逻辑回归分析确定与急性髓细胞性白血病预后风险显著相关的变量。ROC分析用于评估诊断效果。使用 R 4.0.2 软件构建了预测患者预后风险的提名图,并使用引导法进行了内部验证。结果在129例急性髓细胞白血病患者中,男性71例(55.0%),女性58例(45.0%),其中42例(32.6%)被归类为高危,87例(67.4%)被归类为中低危。与中低风险组[50(35,63)岁,Z=-2.381,P=0.017]相比,高风险组的中位年龄[62(48,67)岁]明显较高,与中低风险组(41人,47.1%,χ2=6.760,P=0.009)相比,男性比例明显较高(30人,71.4%)。多变量逻辑回归分析表明,血清 SP70(OR=2.54,95%CI:1.68-3.84,POR=0.96,95%CI:0.93-0.99,POR=1.07,95%CI:1.02-1.13,PCI:0.845-0.952,敏感性 90.5%,特异性 82.8%)。血清SP70、HB和BM胚泡的联合模型的AUC为0.931(95%CI:0.890-0.973);C指数=0.925(95%CI:0.876-0.963),与单用血清SP70相比,差异无统计学意义(Z=1.693,P>0.05)。结论血清SP70可能是对急性髓细胞性白血病进行预后分层的一种有前途的非侵入性分子生物标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
中华预防医学杂志
中华预防医学杂志 Medicine-Medicine (all)
CiteScore
1.20
自引率
0.00%
发文量
12678
期刊介绍: Chinese Journal of Preventive Medicine (CJPM), the successor to Chinese Health Journal , was initiated on October 1, 1953. In 1960, it was amalgamated with the Chinese Medical Journal and the Journal of Medical History and Health Care , and thereafter, was renamed as People’s Care . On November 25, 1978, the publication was denominated as Chinese Journal of Preventive Medicine . The contents of CJPM deal with a wide range of disciplines and technologies including epidemiology, environmental health, nutrition and food hygiene, occupational health, hygiene for children and adolescents, radiological health, toxicology, biostatistics, social medicine, pathogenic and epidemiological research in malignant tumor, surveillance and immunization.
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