Department of Computer Science, Institute for Machine Learning, ETH Zürich, Zurich, Switzerland.
ETH AI Center, ETH Zürich, Zurich, Switzerland.
J Natl Cancer Inst. 2024 Jun 7;116(6):974-982. doi: 10.1093/jnci/djae016.
The phenomenon of field cancerization reflects the transition of normal cells into those predisposed to cancer. Assessing the scope and intensity of this process in the colon may support risk prediction and colorectal cancer prevention.
The Swiss Epigenetic Colorectal Cancer Study (SWEPIC) study, encompassing 1111 participants for DNA methylation analysis and a subset of 84 for RNA sequencing, was employed to detect field cancerization in individuals with adenomatous polyps (AP). Methylation variations were evaluated for their discriminative capability, including in external cohorts, genomic localization, clinical correlations, and associated RNA expression patterns.
Normal cecal tissue of individuals harboring an AP in the proximal colon manifested dysregulated DNA methylation compared to tissue from healthy individuals at 558 unique loci. Leveraging these adenoma-related differentially variable and methylated CpGs (aDVMCs), our classifier discerned between healthy and AP-adjacent tissues across SWEPIC datasets (cross-validated area under the receiver operating characteristic curve [ROC AUC] = 0.63-0.81), including within age-stratified cohorts. This discriminative capacity was validated in 3 external sets, differentiating healthy from cancer-adjacent tissue (ROC AUC = 0.82-0.88). Notably, aDVMC dysregulation correlated with polyp multiplicity. More than 50% of aDVMCs were significantly associated with age. These aDVMCs were enriched in active regions of the genome (P < .001), and associated genes exhibited altered expression in AP-adjacent tissues.
Our findings underscore the early onset of field cancerization in the right colon during the neoplastic transformation process. A more extensive validation of aDVMC dysregulation as a stratification tool could pave the way for enhanced surveillance approaches, especially given its linkage to adenoma emergence.
肿瘤异质性反映了正常细胞向易患癌症细胞的转变。评估结肠中这一过程的范围和强度可能有助于预测风险和预防结直肠癌。
采用瑞士表观遗传结直肠癌研究(SWEPIC),对 1111 名参与者进行 DNA 甲基化分析,对 84 名参与者进行 RNA 测序,以检测腺瘤性息肉(AP)患者的肿瘤异质性。评估了甲基化变化的区分能力,包括在外部队列、基因组定位、临床相关性和相关的 RNA 表达模式中的能力。
与健康个体的组织相比,近端结肠中存在 AP 的个体的回肠组织中存在 558 个独特的基因座的 DNA 甲基化失调。利用这些与腺瘤相关的差异可变和甲基化 CpG (aDVMCs),我们的分类器在 SWEPIC 数据集之间区分了健康和 AP 相邻组织(交叉验证的接收者操作特征曲线下面积[ROC AUC] = 0.63-0.81),包括年龄分层队列。该区分能力在 3 个外部数据集得到验证,区分了健康和癌症相邻组织(ROC AUC = 0.82-0.88)。值得注意的是,aDVMC 失调与息肉多发性相关。超过 50%的 aDVMC 与年龄显著相关。这些 aDVMC 富集在基因组的活跃区域(P < 0.001),并且相关基因在 AP 相邻组织中表达改变。
我们的研究结果强调了肿瘤异质性在右结肠中在肿瘤转化过程中的早期发生。更广泛地验证 aDVMC 失调作为一种分层工具,可以为增强监测方法铺平道路,特别是考虑到它与腺瘤发生的联系。