Correlation between small-cell lung cancer serum protein/peptides determined by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and chemotherapy efficacy.

IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Clinical proteomics Pub Date : 2024-05-19 DOI:10.1186/s12014-024-09483-8
Zhihua Li, Junnan Chen, Bin Xu, Wei Zhao, Haoran Zha, Yalin Han, Wennan Shen, Yuemei Dong, Nan Zhao, Manze Zhang, Kun He, Zhaoxia Li, Xiaoqing Liu
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Abstract

Background: Currently, no effective measures are available to predict the curative efficacy of small-cell lung cancer (SCLC) chemotherapy. We expect to develop a method for effectively predicting the SCLC chemotherapy efficacy and prognosis in clinical practice in order to offer more pertinent therapeutic protocols for individual patients.

Methods: We adopted matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and ClinPro Tools system to detect serum samples from 154 SCLC patients with different curative efficacy of standard chemotherapy and analyze the different peptides/proteins of SCLC patients to discover predictive tumor markers related to chemotherapy efficacy. Ten peptide/protein peaks were significantly different in the two groups.

Results: A genetic algorithm model consisting of four peptides/proteins was developed from the training group to separate patients with different chemotherapy efficacies. Among them, three peptides/proteins (m/z 3323.35, 6649.03 and 6451.08) showed high expression in the disease progression group, whereas the peptide/protein at m/z 4283.18 was highly expressed in the disease response group. The classifier exhibited an accuracy of 91.4% (53/58) in the validation group. The survival analysis showed that the median progression-free survival (PFS) of 30 SCLC patients in disease response group was 9.0 months; in 28 cases in disease progression group, the median PFS was 3.0 months, a statistically significant difference (χ2 = 46.98, P < 0.001). The median overall survival (OS) of the two groups was 13.0 months and 7.0 months, a statistically significant difference (χ2 = 40.64, P < 0.001).

Conclusions: These peptides/proteins may be used as potential biological markers for prediction of the curative efficacy and prognosis for SCLC patients treated with standard regimen chemotherapy.

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基质辅助激光解吸电离飞行时间质谱法测定的小细胞肺癌血清蛋白/肽与化疗疗效之间的相关性。
背景:目前,尚无有效的方法预测小细胞肺癌(SCLC)化疗的疗效。我们希望能开发出一种在临床实践中有效预测小细胞肺癌化疗疗效和预后的方法,从而为患者提供更有针对性的治疗方案:方法:采用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)和ClinPro Tools系统检测154例标准化疗疗效不同的SCLC患者的血清样本,分析SCLC患者的不同肽/蛋白,发现与化疗疗效相关的预测性肿瘤标志物。结果显示,两组患者的十个肽/蛋白峰存在显著差异:结果:从训练组中建立了一个由四种肽/蛋白组成的遗传算法模型,用于区分不同化疗疗效的患者。其中,三个肽/蛋白(m/z 3323.35、6649.03 和 6451.08)在疾病进展组中高表达,而 m/z 4283.18 的肽/蛋白在疾病应答组中高表达。在验证组中,分类器的准确率为 91.4%(53/58)。生存期分析表明,疾病应答组的30例SCLC患者的中位无进展生存期(PFS)为9.0个月;疾病进展组的28例患者的中位PFS为3.0个月,差异有统计学意义(χ2 = 46.98,P 2 = 40.64,P 结论:疾病应答组患者的中位无进展生存期为9.0个月,疾病进展组患者的中位PFS为3.0个月:这些肽/蛋白可作为潜在的生物学标志物,用于预测接受标准方案化疗的SCLC患者的疗效和预后。
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来源期刊
Clinical proteomics
Clinical proteomics BIOCHEMICAL RESEARCH METHODS-
CiteScore
5.80
自引率
2.60%
发文量
37
审稿时长
17 weeks
期刊介绍: Clinical Proteomics encompasses all aspects of translational proteomics. Special emphasis will be placed on the application of proteomic technology to all aspects of clinical research and molecular medicine. The journal is committed to rapid scientific review and timely publication of submitted manuscripts.
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