血清ATIC表达作为多发性骨髓瘤患者新的诊断和预后生物标志物。

IF 4.9 Q2 ONCOLOGY
Blood and Lymphatic Cancer-Targets and Therapy Pub Date : 2025-08-30 eCollection Date: 2025-01-01 DOI:10.2147/BLCTT.S537524
Mengyuan Gu, Yanting Zheng, Yifan Wang, Qicai Wang, Jing Wu, Zengyi Xiong, Yanyu Nong, Chunni Huang, Zhongqing Li, Jun Luo, Zhian Ling, Ruolin Li
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引用次数: 0

摘要

目的:探讨ATIC在多发性骨髓瘤(multiple myeloma, MM)患者血清中的表达水平及其作为生物标志物的潜在临床价值,并分析其与疾病分期、治疗反应、遗传特征及预后的相关性。患者与方法:采用ELISA法检测186例MM患者及201例健康对照者血清ATIC浓度,并采用ROC曲线分析评价诊断效果。根据常见合并症、临床分期、实验室指标、疾病状态、治疗反应水平、病理特征等临床参数进行相关性分析。使用Kaplan-Meier生存分析评估MM患者血清ATIC水平与预后的相关性。结果:与健康对照组(中位数= 16.98 ng/mL)相比,MM患者血清ATIC水平显著升高(中位数= 38.26 ng/mL) (p < 0.0001)。新诊断的MM (NDMM)患者ATIC水平较高(中位数= 46.73 ng/mL)。ROC曲线分析结果显示,ATIC具有较好的诊断效能(AUC = 0.720, p < 0.0001)。ATIC水平随治疗效果降低,缓解组(R组)明显低于活动性疾病组(AD组)(p < 0.05)。较高的R-ISS分期与ATIC水平升高相关(p < 0.05)。血清ATIC水平与ESR (p = 0.029)、β2-MG (p = 0.035)、GLO (p = 0.044)、UA (p = 0.037)、FISH异常(p = 0.02)及预后不良呈正相关。值得注意的是,合并糖尿病的MM患者的ATIC水平低于非糖尿病患者(p = 0.004)。结论:本研究发现MM患者血清ATIC表达水平显著上调,与合并症、疾病进展、肾功能不全、预后不良密切相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Serum ATIC Expression as a Novel Diagnostic and Prognostic Biomarker in Multiple Myeloma Patients.

Serum ATIC Expression as a Novel Diagnostic and Prognostic Biomarker in Multiple Myeloma Patients.

Serum ATIC Expression as a Novel Diagnostic and Prognostic Biomarker in Multiple Myeloma Patients.

Serum ATIC Expression as a Novel Diagnostic and Prognostic Biomarker in Multiple Myeloma Patients.

Purpose: The study was constructed for investigating the serum expression levels of ATIC with multiple myeloma (MM) patients and its potential clinical value as a biomarker, and analyzing its association with disease stage, treatment response, genetic characteristics and prognosis.

Patients and methods: The serum concentrations of ATIC were assessed in 186 MM patients and 201 healthy controls via ELISA, and the diagnostic efficacy was evaluated through ROC curve analysis. Correlation analysis was conducted based on clinical parameters, including common comorbidities, clinical stages, laboratory indicators, disease status, treatment response level, and pathological characteristics. The prognostic relevance of serum ATIC levels in MM patients was assessed using Kaplan-Meier survival analysis.

Results: Serum ATIC levels showed a significant upregulated in MM patients (median = 38.26 ng/mL) compared to healthy controls group (median = 16.98 ng/mL) (p < 0.0001). Newly diagnosed MM (NDMM) patients showed higher ATIC levels (median = 46.73 ng/mL). Results from ROC curve analysis showed that ATIC had a good diagnostic performance (AUC = 0.720, p < 0.0001). ATIC levels decreased with treatment response, and the Remission Group (R group) exhibited a notable decrease than the Active Disease Group (AD group) (p < 0.05). Higher R-ISS staging was associated with elevated ATIC levels (p < 0.05). Positive correlations were found between serum ATIC levels and ESR (p = 0.029), β2-MG (p = 0.035), GLO (p = 0.044), UA (p = 0.037), abnormal FISH results (p = 0.02), as well as poor prognosis. Notably, MM patients with diabetes had lower ATIC levels than those without diabetes (p = 0.004).

Conclusion: This study found that serum ATIC expression levels were significantly upregulated in MM patients, which is closely related to comorbidities, disease progression, renal dysfunction, and poor prognosis.

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来源期刊
自引率
7.10%
发文量
16
审稿时长
16 weeks
期刊介绍: Blood and Lymphatic Cancer: Targets and Therapy is an international, peer reviewed, open access journal focusing on blood and lymphatic cancer research, identification of therapeutic targets, and the optimal use of preventative and integrated treatment interventions to achieve improved outcomes, enhanced survival, and quality of life for the cancer patient. Specific topics covered in the journal include: Epidemiology, detection and screening Cellular research and biomarkers Identification of biotargets and agents with novel mechanisms of action Optimal clinical use of existing anticancer agents, including combination therapies Radiation, surgery, bone marrow transplantation Palliative care Patient adherence, quality of life, satisfaction Health economic evaluations.
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