State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, P. R. China.
Department of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University, Guangzhou 510060, P. R. China.
Brief Bioinform. 2022 Sep 20;23(5). doi: 10.1093/bib/bbac175.
Multiple primary tumor (MPT) is a special and rare cancer type, defined as more than two primary tumors presenting at the diagnosis in a single patient. The molecular characteristics and tumorigenesis of MPT remain unclear due to insufficient approaches. Here, we present MPTevol, a practical computational framework for comprehensively exploring the MPT from multiregion sequencing (MRS) experiments. To verify the utility of MPTevol, we performed whole-exome MRS for 33 samples of a rare patient with triple-primary tumors and three metastatic sites and systematically investigated clonal dynamics and metastatic routines. MPTevol assists in comparing genomic profiles across samples, detecting clonal evolutionary history and metastatic routines and quantifying the metastatic history. All triple-primary tumors were independent origins and their genomic characteristics were consistent with corresponding sporadic tumors, strongly supporting their independent tumorigenesis. We further showed two independent early monoclonal seeding events for the metastases in the ovary and uterus. We revealed that two ovarian metastases were disseminated from the same subclone of the primary tumor through undergoing whole-genome doubling processes, suggesting metastases-to-metastases seeding occurred when tumors had similar microenvironments. Surprisingly, according to the metastasis timing model of MPTevol, we found that primary tumors of about 0.058-0.124 cm diameter have been disseminating to distant organs, which is much earlier than conventional clinical views. We developed MPT-specialized analysis framework MPTevol and demonstrated its utility in explicitly resolving clonal evolutionary history and metastatic seeding routines with a rare MPT case. MPTevol is implemented in R and is available at https://github.com/qingjian1991/MPTevol under the GPL v3 license.
多原发肿瘤 (MPT) 是一种特殊且罕见的癌症类型,定义为在单个患者中同时诊断出两个或以上的原发性肿瘤。由于方法不足,MPT 的分子特征和肿瘤发生机制仍不清楚。在这里,我们提出了 MPTevol,这是一种实用的计算框架,可用于从多区域测序 (MRS) 实验中全面探索 MPT。为了验证 MPTevol 的实用性,我们对一名患有三原发肿瘤和三个转移部位的罕见患者的 33 个样本进行了全外显子 MRS,并系统地研究了克隆动态和转移规律。MPTevol 有助于比较样本之间的基因组谱,检测克隆进化史和转移规律,并量化转移史。所有三原发肿瘤均为独立起源,其基因组特征与相应的散发性肿瘤一致,强烈支持其独立的肿瘤发生。我们进一步显示了卵巢和子宫转移中两个独立的早期单克隆播种事件。我们表明,两个卵巢转移是通过经历全基因组加倍过程从原发性肿瘤的同一亚克隆中扩散出来的,这表明当肿瘤具有相似的微环境时,转移到转移的播种发生了。令人惊讶的是,根据 MPTevol 的转移时间模型,我们发现直径约为 0.058-0.124cm 的原发性肿瘤已经扩散到远处器官,这比传统的临床观点要早得多。我们开发了 MPT 专用分析框架 MPTevol,并通过一个罕见的 MPT 病例证明了其在明确解析克隆进化史和转移播种规律方面的实用性。MPTevol 是用 R 语言实现的,并在 GPL v3 许可证下可在 https://github.com/qingjian1991/MPTevol 上获得。