James Graham Brown Cancer Center, University of Louisville, Louisville, Kentucky, United States of America ; Department of Medicine, University of Louisville, Louisville, Kentucky, United States of America.
Department of Medicine, University of Louisville, Louisville, Kentucky, United States of America ; Center for Environmental Genomics and Integrative Biology, University of Louisville, Louisville, Kentucky, United States of America.
PLoS One. 2014 Jan 8;9(1):e84710. doi: 10.1371/journal.pone.0084710. eCollection 2014.
Improved methods for the accurate identification of both the presence and severity of cervical intraepithelial neoplasia (CIN) and extent of spread of invasive carcinomas of the cervix (IC) are needed. Differential scanning calorimetry (DSC) has recently been shown to detect specific changes in the thermal behavior of blood plasma proteins in several diseases. This methodology is being explored to provide a complementary approach for screening of cervical disease. The present study evaluated the utility of DSC in differentiating between healthy controls, increasing severity of CIN and early and advanced IC. Significant discrimination was apparent relative to the extent of disease with no clear effect of demographic factors such as age, ethnicity, smoking status and parity. Of most clinical relevance, there was strong differentiation of CIN from healthy controls and IC, and amongst patients with IC between FIGO Stage I and advanced cancer. The observed disease-specific changes in DSC profiles (thermograms) were hypothesized to reflect differential expression of disease biomarkers that subsequently bound to and affected the thermal behavior of the most abundant plasma proteins. The effect of interacting biomarkers can be inferred from the modulation of thermograms but cannot be directly identified by DSC. To investigate the nature of the proposed interactions, mass spectrometry (MS) analyses were employed. Quantitative assessment of the low molecular weight protein fragments of plasma and urine samples revealed a small list of peptides whose abundance was correlated with the extent of cervical disease, with the most striking plasma peptidome data supporting the interactome theory of peptide portioning to abundant plasma proteins. The combined DSC and MS approach in this study was successful in identifying unique biomarker signatures for cervical cancer and demonstrated the utility of DSC plasma profiles as a complementary diagnostic tool to evaluate cervical cancer health.
需要改进方法来准确识别宫颈上皮内瘤变(CIN)的存在和严重程度以及宫颈浸润性癌(IC)的扩散程度。差示扫描量热法(DSC)最近已被证明可检测几种疾病中血浆蛋白热行为的特定变化。这种方法正在被探索以提供用于筛查宫颈疾病的补充方法。本研究评估了 DSC 在区分健康对照组、CIN 严重程度增加以及早期和晚期 IC 中的效用。与疾病的严重程度相比,明显存在差异,而年龄、种族、吸烟状况和产次等人口统计学因素没有明显影响。最具临床相关性的是,CIN 与健康对照组和 IC 之间存在强烈的分化,以及 FIGO 分期 I 与晚期癌症之间的 IC 患者之间存在强烈的分化。DSC 图谱(热谱)中观察到的疾病特异性变化被假设反映了疾病生物标志物的差异表达,这些生物标志物随后与最丰富的血浆蛋白结合并影响其热行为。可以从热谱的调制中推断出相互作用生物标志物的影响,但不能通过 DSC 直接识别。为了研究所提出的相互作用的性质,进行了质谱(MS)分析。对血浆和尿液样本的低分子量蛋白质片段进行定量评估,揭示了一小部分肽的丰度与宫颈疾病的严重程度相关,最引人注目的血浆肽组数据支持肽与丰富的血浆蛋白质部分化的互作组理论。本研究中的 DSC 和 MS 联合方法成功地鉴定了宫颈癌的独特生物标志物特征,并证明了 DSC 血浆谱作为评估宫颈癌健康的补充诊断工具的实用性。