与结直肠癌转移相关的细胞类型特异性环状 RNA 的特征。

NAR Cancer Pub Date : 2023-05-19 eCollection Date: 2023-06-01 DOI:10.1093/narcan/zcad021
Sidi Zhao, Amy Ly, Jacqueline L Mudd, Emily B Rozycki, Jace Webster, Emily Coonrod, Ghofran Othoum, Jingqin Luo, Ha X Dang, Ryan C Fields, Christopher A Maher
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摘要

结肠直肠癌(CRC)是最常见的胃肠道恶性肿瘤,也是美国癌症死亡的主要原因。半数以上的 CRC 患者会出现转移性疾病(mCRC),平均 5 年生存率为 13%。环状 RNAs(circRNAs)最近已成为重要的肿瘤发生调控因子;然而,它们在 mCRC 进展过程中的作用仍鲜为人知。此外,人们对它们的细胞类型特异性知之甚少,无法阐明它们在肿瘤微环境(TME)中的功能。为了解决这个问题,我们对来自 14 名 mCRC 患者的 30 份匹配的正常、原发和转移样本进行了总 RNA 测序(RNA-seq)。此外,我们还对 5 个 CRC 细胞系进行了测序,以构建 CRC 的 circRNA 目录。与现有的 circRNA 数据库相比,我们检测到了 47 869 个 circRNA,其中 51% 以前未在 CRC 中标注过,14% 是新的候选。我们发现了 362 个在原发和/或转移组织中差异表达的 circRNA,称为与转移相关的环状 RNA(CRAMS)。我们利用已发表的单细胞 RNA-seq 数据集进行了细胞类型解卷积,并应用非负最小二乘法统计模型估计了细胞类型特异性 circRNA 的表达。结果预测有 667 种 circRNA 只在一种细胞类型中表达。总而言之,TMECircDB(可在 https://www.maherlab.com/tmecircdb-overview 上访问)是一种宝贵的资源,可用于对 mCRC 中的 circRNA(尤其是 TME 中的 circRNA)进行功能表征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Characterization of cell-type specific circular RNAs associated with colorectal cancer metastasis.

Colorectal cancer (CRC) is the most common gastrointestinal malignancy and a leading cause of cancer deaths in the United States. More than half of CRC patients develop metastatic disease (mCRC) with an average 5-year survival rate of 13%. Circular RNAs (circRNAs) have recently emerged as important tumorigenesis regulators; however, their role in mCRC progression remains poorly characterized. Further, little is known about their cell-type specificity to elucidate their functions in the tumor microenvironment (TME). To address this, we performed total RNA sequencing (RNA-seq) on 30 matched normal, primary and metastatic samples from 14 mCRC patients. Additionally, five CRC cell lines were sequenced to construct a circRNA catalog in CRC. We detected 47 869 circRNAs, with 51% previously unannotated in CRC and 14% novel candidates when compared to existing circRNA databases. We identified 362 circRNAs differentially expressed in primary and/or metastatic tissues, termed circular RNAs associated with metastasis (CRAMS). We performed cell-type deconvolution using published single-cell RNA-seq datasets and applied a non-negative least squares statistical model to estimate cell-type specific circRNA expression. This predicted 667 circRNAs as exclusively expressed in a single cell type. Collectively, this serves as a valuable resource, TMECircDB (accessible at https://www.maherlab.com/tmecircdb-overview), for functional characterization of circRNAs in mCRC, specifically in the TME.

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