Department of Surgery and Cancer, Imperial College London, London, United Kingdom.
Royal Surrey County Hospital, Guildford, Surrey, United Kingdom.
Cancer Res. 2020 Jul 1;80(13):2764-2774. doi: 10.1158/0008-5472.CAN-19-4035. Epub 2020 Apr 28.
The incidence of esophageal adenocarcinoma is rising, survival remains poor, and new tools to improve early diagnosis and precise treatment are needed. Cancer phospholipidomes quantified with mass spectrometry imaging (MSI) can support objective diagnosis in minutes using a routine frozen tissue section. However, whether MSI can objectively identify primary esophageal adenocarcinoma is currently unknown and represents a significant challenge, as this microenvironment is complex with phenotypically similar tissue-types. Here, we used desorption electrospray ionization-MSI (DESI-MSI) and bespoke chemometrics to assess the phospholipidomes of esophageal adenocarcinoma and relevant control tissues. Multivariate models derived from phospholipid profiles of 117 patients were highly discriminant for esophageal adenocarcinoma both in discovery (AUC = 0.97) and validation cohorts (AUC = 1). Among many other changes, esophageal adenocarcinoma samples were markedly enriched for polyunsaturated phosphatidylglycerols with longer acyl chains, with stepwise enrichment in premalignant tissues. Expression of fatty acid and glycerophospholipid synthesis genes was significantly upregulated, and characteristics of fatty acid acyls matched glycerophospholipid acyls. Mechanistically, silencing the carbon switch in esophageal adenocarcinoma cells shortened glycerophospholipid chains, linking lipogenesis to the phospholipidome. Thus, DESI-MSI can objectively identify invasive esophageal adenocarcinoma from a number of premalignant tissues and unveils mechanisms of phospholipidomic reprogramming. SIGNIFICANCE: These results call for accelerated diagnosis studies using DESI-MSI in the upper gastrointestinal endoscopy suite, as well as functional studies to determine how polyunsaturated phosphatidylglycerols contribute to esophageal carcinogenesis.
食管腺癌的发病率正在上升,但其生存率仍然较差,因此需要新的工具来改善早期诊断和精确治疗。使用质谱成像 (MSI) 定量分析癌症磷脂组可以在几分钟内使用常规冷冻组织切片提供客观诊断。然而,MSI 是否可以客观地识别原发性食管腺癌目前尚不清楚,这是一个重大挑战,因为这种微环境非常复杂,组织类型相似。在这里,我们使用解吸电喷雾电离-MS(DESI-MS)和定制化学计量学来评估食管腺癌和相关对照组织的磷脂组。从 117 名患者的磷脂谱中得出的多变量模型对食管腺癌具有高度的判别力,无论是在发现队列(AUC=0.97)还是验证队列(AUC=1)中均如此。在许多其他变化中,食管腺癌样本中富含多不饱和的长链酰基磷脂酰甘油,在癌前组织中逐渐富集。脂肪酸和甘油磷脂合成基因的表达显著上调,脂肪酸酰基的特征与甘油磷脂酰基相匹配。从机制上讲,沉默食管腺癌细胞中的碳开关会缩短甘油磷脂链,将脂生成与磷脂组联系起来。因此,DESI-MS 可以从多种癌前组织中客观地识别侵袭性食管腺癌,并揭示磷脂组学重编程的机制。意义:这些结果呼吁在消化内镜检查室中使用 DESI-MS 加速进行诊断研究,并开展功能研究以确定多不饱和磷脂酰甘油如何促进食管癌变。