Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Mol Cancer Res. 2019 May;17(5):1155-1165. doi: 10.1158/1541-7786.MCR-18-1057. Epub 2019 Feb 11.
Diagnosis of prostate cancer is based on histologic evaluation of tumor architecture using a system known as the "Gleason score." This diagnostic paradigm, while the standard of care, is time-consuming, shows intraobserver variability, and provides no information about the altered metabolic pathways, which result in altered tissue architecture. Characterization of the molecular composition of prostate cancer and how it changes with respect to the Gleason score (GS) could enable a more objective and faster diagnosis. It may also aid in our understanding of disease onset and progression. In this work, we present mass spectrometry imaging for identification and mapping of lipids and metabolites in prostate tissue from patients with known prostate cancer with GS from 6 to 9. A gradient of changes in the intensity of various lipids was observed, which correlated with increasing GS. Interestingly, these changes were identified in both regions of high tumor cell density, and in regions of tissue that appeared histologically benign, possibly suggestive of precancerous metabolomic changes. A total of 31 lipids, including several phosphatidylcholines, phosphatidic acids, phosphatidylserines, phosphatidylinositols, and cardiolipins were detected with higher intensity in GS (4+3) compared with GS (3+4), suggesting they may be markers of prostate cancer aggression. Results obtained through mass spectrometry imaging studies were subsequently correlated with a fast, ambient mass spectrometry method for potential use as a clinical tool to support image-guided prostate biopsy. IMPLICATIONS: In this study, we suggest that metabolomic differences between prostate cancers with different Gleason scores can be detected by mass spectrometry imaging.
前列腺癌的诊断基于使用称为“格里森评分”的系统对肿瘤结构进行组织学评估。这种诊断范式虽然是标准的护理方法,但耗时、存在观察者内变异性,并且不能提供有关改变的代谢途径的信息,这些途径导致组织结构改变。前列腺癌的分子组成及其与格里森评分(GS)的变化特征可以实现更客观和更快的诊断。它还可能有助于我们了解疾病的发生和进展。在这项工作中,我们提出了用于鉴定和绘制具有已知 GS(6 至 9)的前列腺癌患者前列腺组织中脂质和代谢物的质谱成像。观察到各种脂质强度的梯度变化,与 GS 增加相关。有趣的是,这些变化在高肿瘤细胞密度的区域和组织区域中均被识别,组织区域在组织学上看起来良性,可能提示癌前代谢变化。共检测到 31 种脂质,包括几种磷脂酰胆碱、磷脂酸、磷脂酰丝氨酸、磷脂酰肌醇和心磷脂,GS(4+3)比 GS(3+4)具有更高的强度,表明它们可能是前列腺癌侵袭性的标志物。通过质谱成像研究获得的结果随后与快速、环境质谱方法相关联,该方法可能作为支持图像引导前列腺活检的临床工具。意义:在这项研究中,我们提出,不同格里森评分的前列腺癌之间的代谢差异可以通过质谱成像来检测。