• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

结直肠癌中微卫星不稳定的基因组和免疫特征。

Genomic and immunological features of microsatellite instability in colon cancer.

机构信息

Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200336, China.

Department of General Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai 201399, China.

出版信息

Gene. 2021 May 20;781:145534. doi: 10.1016/j.gene.2021.145534. Epub 2021 Feb 23.

DOI:10.1016/j.gene.2021.145534
PMID:33636290
Abstract

Microsatellite instability (MSI) is closely related to the prognosis and therapy response of colon cancer. Colon cancer patients with MSI show resistance to 5-Fluorouracil (5-FU) but sensitivity to immunosuppressive checkpoint inhibitors (ICIs). The relevant mechanism behind the opposite response remains unclear. Multi-omics research data of colon cancer patients were acquired from The Cancer Genome Atlas (TCGA) database, GEO database, and DAFI dataset. Transcriptome data were normalized to gene expression data through the R software package "Limma". Somatic mutations data were analyzed and visualized through the R software package "maftools". CIBERSORT algorithm was used to estimate the relative proportion of 22 infiltrating immune cell types. We demonstrated MSI patients showed both overexpressed immune checkpoints (mRNA level) and activated tumor-infiltrating lymphocytes (TILs), which may explain the satisfying response of ICIs. The additionally, we also demonstrated MSI promoted the mRNA expression of thymidylate synthase (TYMS) through regulating its copy number variation. As a main target of 5-FU, overexpressed TYMS promoted the resistance of 5-FU. Furthermore, we demonstrated MSI patients showed significantly increased somatic mutations compared with microsatellite stability (MSS) patients, except APC, TP53, and KRAS mutations. The substitutions and location of somatic mutations in different genes were at variance between MSS and MSI patients. In conclusion, our research determined mechanisms of MSI associated treatment response, and may provide potential value for improving the survival of colon cancer patients.

摘要

微卫星不稳定性(MSI)与结肠癌的预后和治疗反应密切相关。MSI 阳性的结肠癌患者对 5-氟尿嘧啶(5-FU)表现出耐药性,但对免疫抑制检查点抑制剂(ICIs)敏感。相反反应背后的相关机制尚不清楚。从癌症基因组图谱(TCGA)数据库、GEO 数据库和 DAFI 数据集获取了结肠癌患者的多组学研究数据。通过 R 软件包“Limma”将转录组数据归一化为基因表达数据。通过 R 软件包“maftools”分析和可视化体细胞突变数据。使用 CIBERSORT 算法估计 22 种浸润免疫细胞类型的相对比例。我们证明 MSI 患者既表现出免疫检查点的过表达(mRNA 水平),又表现出肿瘤浸润淋巴细胞(TILs)的激活,这可能解释了 ICI 的满意反应。此外,我们还证明 MSI 通过调节胸苷酸合成酶(TYMS)的拷贝数变异来促进其 mRNA 表达。作为 5-FU 的主要靶点,过表达的 TYMS 促进了 5-FU 的耐药性。此外,我们证明与微卫星稳定性(MSS)患者相比,MSI 患者的体细胞突变明显增加,除 APC、TP53 和 KRAS 突变外。MSS 和 MSI 患者之间不同基因的体细胞突变的取代和位置存在差异。总之,我们的研究确定了 MSI 相关治疗反应的机制,可能为提高结肠癌患者的生存率提供潜在价值。

相似文献

1
Genomic and immunological features of microsatellite instability in colon cancer.结直肠癌中微卫星不稳定的基因组和免疫特征。
Gene. 2021 May 20;781:145534. doi: 10.1016/j.gene.2021.145534. Epub 2021 Feb 23.
2
Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy.分析与结肠癌微卫星状态相关的分子特征,为免疫治疗提供临床意义。
J Immunother Cancer. 2020 Oct;8(2). doi: 10.1136/jitc-2020-001437.
3
Tumor-Infiltrating Lymphocytes, Tumor Mutational Burden, and Genetic Alterations in Microsatellite Unstable, Microsatellite Stable, or Mutant Colon Cancer.肿瘤浸润淋巴细胞、肿瘤突变负担以及微卫星不稳定、微卫星稳定或突变型结直肠癌中的遗传改变。
JCO Precis Oncol. 2021 May 12;5. doi: 10.1200/PO.20.00456. eCollection 2021.
4
Determination of TP53 mutation is more relevant than microsatellite instability status for the prediction of disease-free survival in adjuvant-treated stage III colon cancer patients.对于接受辅助治疗的III期结肠癌患者,TP53突变的检测对于预测无病生存期比微卫星不稳定性状态更为重要。
J Clin Oncol. 2005 Aug 20;23(24):5635-43. doi: 10.1200/JCO.2005.04.096.
5
Gastric cancer with microsatellite instability displays increased thymidylate synthase expression.微卫星不稳定型胃癌表现出胸苷酸合成酶表达增加。
J Surg Oncol. 2022 Jul;126(1):116-124. doi: 10.1002/jso.26822.
6
The differential impact of microsatellite instability as a marker of prognosis and tumour response between colon cancer and rectal cancer.微卫星不稳定性作为结肠癌和直肠癌预后和肿瘤反应标志物的差异影响。
Eur J Cancer. 2012 May;48(8):1235-43. doi: 10.1016/j.ejca.2011.10.005. Epub 2011 Nov 7.
7
Transcriptome and Network Dissection of Microsatellite Stable and Highly Instable Colorectal Cancer.微卫星稳定和高度不稳定结直肠癌的转录组与网络剖析
Asian Pac J Cancer Prev. 2019 Aug 1;20(8):2445-2454. doi: 10.31557/APJCP.2019.20.8.2445.
8
Prognostic value of BRAF and KRAS mutation status in stage II and III microsatellite instable colon cancers.BRAF和KRAS突变状态在II期和III期微卫星不稳定结肠癌中的预后价值
Int J Cancer. 2016 Mar 1;138(5):1139-45. doi: 10.1002/ijc.29855. Epub 2015 Oct 23.
9
[Association between microsatellite instability and clinico-pathological characteristics in sporadic colon cancer].[散发性结肠癌中微卫星不稳定性与临床病理特征之间的关联]
Med Clin (Barc). 2005 Apr 2;124(12):441-6. doi: 10.1157/13073216.
10
Transcriptional profiles underpin microsatellite status and associated features in colon cancer.转录谱是结肠癌微卫星状态及相关特征的基础。
Gene. 2015 Oct 1;570(1):36-43. doi: 10.1016/j.gene.2015.02.057. Epub 2015 Feb 20.

引用本文的文献

1
Identification of signatures associated with microsatellite instability and immune characteristics to predict the prognostic risk of colon cancer.识别与微卫星不稳定性和免疫特征相关的特征,以预测结肠癌的预后风险。
Open Med (Wars). 2024 Dec 20;19(1):20241056. doi: 10.1515/med-2024-1056. eCollection 2024.
2
Pharmacogenomic Profile of Amazonian Amerindians.亚马逊印第安人的药物基因组学概况。
J Pers Med. 2022 Jun 10;12(6):952. doi: 10.3390/jpm12060952.
3
Microsatellite Status and IκBα Expression Levels Predict Sensitivity to Pharmaceutical Curcumin in Colorectal Cancer Cells.
微卫星状态和IκBα表达水平预测大肠癌细胞对药用姜黄素的敏感性。
Cancers (Basel). 2022 Feb 17;14(4):1032. doi: 10.3390/cancers14041032.