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Phospholipid MALDI Imaging Mass Spectrometry Stratification of Colorectal Cancer Liver Metastasis Clinical Biopsies

机译:磷脂马尔迪成像大肠病患者肝转移临床活检的分层

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Colorectal cancer is the third leading cause of cancer mortality worldwide. Death from colorectal cancer is due to metastatic disease and the liver is the most common site of metastasis. Many treatment options are available including surgery and chemotherapy but reliable prognostics for treatment and assessment of treatment response are limited and thus new technologies are sought as a solution. Within our work, MALDI Imaging Mass Spectrometry (MALDI-IMS) of phospholipids using 1,5-diaminonapthalene (DAN) matrix is proposed as a solution to bridge this clinical gap. The potential clinical utility of phospholipid IMS has been demonstrated in a number of applications, however, IMS tissue studies of large cohorts needed for clinical validity require robust and validated approaches for data interpretation due to the multivariate nature and size of IMS datasets. Within our work we propose a workflow for mining of histologies for characteristic lipids and generate robust signatures for classification of tissue topography on previously unknown CRCLM samples. When taken together, these results demonstrate the potential of our workflow as a clinical aid and simultaneously as a tool for generating biological hypotheses directly from clinical origin.
机译:结肠直肠癌是全世界癌症死亡率的第三个主要原因。成直肠癌死亡是由于转移性疾病,肝脏是最常见的转移现场。许多治疗方案可用,包括手术和化疗,但治疗和评估治疗反应的可靠预测是有限的,因此寻求新技术作为解决方案。在我们的工作中,提出了使用1,5-二氨基萘啶(DAN)基质的MALDI成像质谱(MALDI-IMS)作为桥接该临床间隙的溶液。磷脂IMS的潜在临床效用已在许多应用中证明,临床有效性所需的大型群组的IMS组织研究需要由于IMS数据集的多变量性质和大小而需要稳健和验证的数据解释方法。在我们的工作中,我们提出了用于挖掘特征脂质的组织学的工作流程,并产生用于在先前未知的CRCLM样品上进行组织地形的稳健签名。在一起时,这些结果展示了我们工作流程作为临床辅助工作流程的潜力,并同时作为直接从临床起源产生生物假设的工具。

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