Genómica y Medicina, NIMGenetics, Madrid, Spain. S. L, 28108, Madrid, Spain.
New Therapy Laboratory, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, 28040, Madrid, Spain.
BMC Cancer. 2023 Jan 3;23(1):2. doi: 10.1186/s12885-022-10459-w.
Differential presence of exons (DPE) by next generation sequencing (NGS) is a method of interpretation of whole exome sequencing. This method has been proposed to design a predictive and diagnostic algorithm with clinical value in plasma from patients bearing colorectal cancer (CRC). The aim of the present study was to determine a common exonic signature to discriminate between different clinical pictures, such as non-metastatic, metastatic and non-disease (healthy), using a sustainable and novel technology in liquid biopsy.Through DPE analysis, we determined the differences in DNA exon levels circulating in plasma between patients bearing CRC vs. healthy, patients bearing CRC metastasis vs. non-metastatic and patients bearing CRC metastasis vs. healthy comparisons. We identified a set of 510 exons (469 up and 41 down) whose differential presence in plasma allowed us to group and classify between the three cohorts. Random forest classification (machine learning) was performed and an estimated out-of-bag (OOB) error rate of 35.9% was obtained and the predictive model had an accuracy of 75% with a confidence interval (CI) of 56.6-88.5.In conclusion, the DPE analysis allowed us to discriminate between different patho-physiological status such as metastatic, non-metastatic and healthy donors. In addition, this analysis allowed us to obtain very significant values with respect to previous published results, since we increased the number of samples in our study. These results suggest that circulating DNA in patient's plasma may be actively released by cells and may be involved in intercellular communication and, therefore, may play a pivotal role in malignant transformation (genometastasis).
下一代测序(NGS)的外显子差异存在(DPE)是一种解释外显子组测序的方法。该方法被提议设计一种具有预测和诊断价值的算法,应用于携带结直肠癌(CRC)的患者的血浆中。本研究的目的是确定一个常见的外显子特征,以区分不同的临床情况,如非转移性、转移性和非疾病(健康),使用液体活检中的可持续和新颖技术。
通过 DPE 分析,我们确定了 CRC 患者与健康对照、CRC 转移患者与非转移性患者和 CRC 转移患者与健康对照之间血浆中循环 DNA 外显子水平的差异。我们确定了一组 510 个外显子(469 个上调和 41 个下调),其在血浆中的差异存在使我们能够对三组进行分组和分类。进行了随机森林分类(机器学习),获得了估计的袋外(OOB)错误率为 35.9%,预测模型的准确性为 75%,置信区间(CI)为 56.6-88.5。
总之,DPE 分析使我们能够区分不同的病理生理状态,如转移性、非转移性和健康供体。此外,与之前发表的结果相比,这项分析使我们获得了非常显著的值,因为我们增加了研究中的样本数量。这些结果表明,患者血浆中的循环 DNA 可能是由细胞主动释放的,可能参与细胞间通讯,因此可能在外显子转移(基因组转移)恶性转化中发挥关键作用。