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ColPortal,一个整合了多组学的平台,用于分析结直肠癌中的表观遗传相互作用。

ColPortal, an integrative multiomic platform for analysing epigenetic interactions in colorectal cancer.

机构信息

Biomedical Informatics & Bioinformatics Platform, Institute for Biomedical Research of Murcia (IMIB)/Foundation for Healthcare Training & Research of the Region of Murcia (FFIS), Calle Luis Fontes Pagán 9, 30003, Murcia, Spain.

Department of Pathology, Santa Lucía General University Hospital (HGUSL), Calle Mezquita sn, 30202, Cartagena, Spain.

出版信息

Sci Data. 2019 Oct 31;6(1):255. doi: 10.1038/s41597-019-0198-z.

Abstract

Colorectal cancer (CRC) is the third leading cause of cancer mortality worldwide. Different pathological pathways and molecular drivers have been described and some of the associated markers are used to select effective anti-neoplastic therapy. More recent evidence points to a causal role of microbiota and altered microRNA expression in CRC carcinogenesis, but their relationship with pathological drivers or molecular phenotypes is not clearly established. Joint analysis of clinical and omics data can help clarify such relations. We present ColPortal, a platform that integrates transcriptomic, microtranscriptomic, methylomic and microbiota data of patients with colorectal cancer. ColPortal also includes detailed information of histological features and digital histological slides from the study cases, since histology is a morphological manifestation of a complex molecular change. The current cohort consists of Caucasian patients from Europe. For each patient, demographic information, location, histology, tumor staging, tissue prognostic factors, molecular biomarker status and clinical outcomes are integrated with omics data. ColPortal allows one to perform multiomics analyses for groups of patients selected by their clinical data.

摘要

结直肠癌(CRC)是全球癌症死亡的第三大主要原因。已经描述了不同的病理途径和分子驱动因素,并且一些相关的标志物用于选择有效的抗肿瘤治疗。最近的证据表明,微生物组和 miRNA 表达的改变在 CRC 癌变中起因果作用,但它们与病理驱动因素或分子表型的关系尚未明确。对临床和组学数据的联合分析可以帮助阐明这些关系。我们提出了 ColPortal,这是一个整合了结直肠癌患者转录组、微转录组、甲基组和微生物组数据的平台。ColPortal 还包括研究病例的组织学特征和数字组织学幻灯片的详细信息,因为组织学是复杂分子变化的形态表现。目前的队列由来自欧洲的白种人患者组成。对于每位患者,将人口统计学信息、位置、组织学、肿瘤分期、组织预后因素、分子生物标志物状态和临床结果与组学数据整合在一起。ColPortal 允许根据其临床数据选择患者组进行多组学分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd3b/6823353/87d025de9072/41597_2019_198_Fig1_HTML.jpg

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