School of Mathematics and Statistics, University of St Andrews, St Andrews KY16 9SS, United Kingdom.
Biomedical Sciences Research Complex, University of St Andrews, St Andrews KY16 9ST, United Kingdom.
J Proteomics. 2022 Aug 30;266:104684. doi: 10.1016/j.jprot.2022.104684. Epub 2022 Jul 14.
Oesophageal adenocarcinoma (OAC) is an aggressive cancer with a five-year survival of <15%. Current chemotherapeutic strategies only benefit a minority (20-30%) of patients and there are no methods available to differentiate between responders and non-responders. We performed quantitative proteomics using Sequential Window Acquisition of all THeoretical fragment-ion spectra-Mass Spectrometry (SWATH-MS) on albumin/IgG-depleted and non-depleted plasma samples from 23 patients with locally advanced OAC prior to treatment. Individuals were grouped based on tumour regression (TRG) score (TRG1/2/3 vs TRG4/5) after chemotherapy, and differentially abundant proteins were compared. Protein depletion of highly abundant proteins led to the identification of around twice as many proteins. SWATH-MS revealed significant quantitative differences in the abundance of several proteins between the two groups. These included complement c1q subunit proteins, C1QA, C1QB and C1QC, which were of higher abundance in the low TRG group. Of those that were found to be of higher abundance in the high TRG group, glutathione S-transferase pi (GSTP1) exhibited the lowest p-value and highest classification accuracy and Cohen's kappa value. Concentrations of these proteins were further examined using ELISA-based assays. This study provides quantitative information relating to differences in the plasma proteome that underpin response to chemotherapeutic treatment in oesophageal cancers. SIGNIFICANCE: Oesophageal cancers, including oesophageal adenocarcinoma (OAC) and oesophageal gastric junction cancer (OGJ), are one of the leading causes of cancer mortality worldwide. Curative therapy consists of surgery, either alone or in combination with adjuvant or neoadjuvant chemotherapy or radiation, or combination chemoradiotherapy regimens. There are currently no clinico-pathological means of predicting which patients will benefit from chemotherapeutic treatments. There is therefore an urgent need to improve oesophageal cancer disease management and treatment strategies. This work compared proteomic differences in OAC patients who responded well to chemotherapy as compared to those who did not, using quantitative proteomics prior to treatment commencement. SWATH-MS analysis of plasma (with and without albumin/IgG-depletion) from OAC patients prior to chemotherapy was performed. This approach was adopted to determine whether depletion offered a significant improvement in peptide coverage. Resultant datasets demonstrated that depletion increased peptide coverage significantly. Additionally, there was good quantitative agreement between commonly observed peptides. Data analysis was performed by adopting both univariate as well as multivariate analysis strategies. Differentially abundant proteins were identified between treatment response groups based on tumour regression grade. Such proteins included complement C1q sub-components and GSTP1. This study provides a platform for further work, utilising larger sample sets across different treatment regimens for oesophageal cancer, that will aid the development of 'treatment response prediction assays' for stratification of OAC patients prior to chemotherapy.
食管腺癌(OAC)是一种侵袭性癌症,五年生存率<15%。目前的化疗策略仅使少数(20-30%)患者受益,并且没有方法可以区分应答者和无应答者。我们在 23 名局部晚期 OAC 患者接受治疗前使用白蛋白/IgG 耗尽和非耗尽的血浆样本进行了基于顺序窗口采集所有理论碎片离子谱-质谱法(SWATH-MS)的定量蛋白质组学研究。根据化疗后肿瘤退缩(TRG)评分(TRG1/2/3 与 TRG4/5)将个体分组,并比较差异丰富的蛋白质。高丰度蛋白质的蛋白质耗尽导致鉴定出数量约增加一倍的蛋白质。SWATH-MS 显示两组之间几种蛋白质丰度存在显着的定量差异。其中包括补体 C1q 亚基蛋白、C1QA、C1QB 和 C1QC,在低 TRG 组中含量更高。在高 TRG 组中发现含量更高的那些中,谷胱甘肽 S-转移酶 pi(GSTP1)的 p 值最低,分类准确性和科恩氏kappa 值最高。使用 ELISA 测定法进一步检查了这些蛋白质的浓度。这项研究提供了与化疗治疗食管癌症反应相关的血浆蛋白质组差异的定量信息。意义:食管癌,包括食管腺癌(OAC)和食管胃交界处癌(OGJ),是全球癌症死亡的主要原因之一。治愈性治疗包括手术,单独或联合辅助或新辅助化疗或放疗,或联合放化疗方案。目前尚无临床病理手段可以预测哪些患者将从化疗中受益。因此,迫切需要改善食管癌的疾病管理和治疗策略。这项工作比较了在开始治疗前对化疗反应良好的 OAC 患者和反应不佳的患者的蛋白质组差异,使用定量蛋白质组学方法。在化疗前对 OAC 患者的血浆(有和没有白蛋白/IgG 耗尽)进行了 SWATH-MS 分析。采用这种方法来确定耗尽是否能显着提高肽覆盖率。结果数据集表明,耗尽显着增加了肽覆盖率。此外,常见观察到的肽之间存在良好的定量一致性。数据分析采用了单变量和多变量分析策略。基于肿瘤回归分级,在治疗反应组之间确定了差异丰富的蛋白质。此类蛋白质包括补体 C1q 亚成分和 GSTP1。这项研究为进一步的工作提供了一个平台,利用不同治疗方案的更大样本集进行食管癌,这将有助于开发用于化疗前 OAC 患者分层的“治疗反应预测测定”。