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结直肠癌中超越基因组数据的多组学方法

Multi-Omic Approaches in Colorectal Cancer beyond Genomic Data.

作者信息

Sardo Emilia, Napolitano Stefania, Della Corte Carminia Maria, Ciardiello Davide, Raucci Antonio, Arrichiello Gianluca, Troiani Teresa, Ciardiello Fortunato, Martinelli Erika, Martini Giulia

机构信息

Oncologia Medica, Dipartimento di Medicina di Precisione, Università degli Studi della Campania "L. Vanvitelli", 80131 Napoli, Italy.

Oncologia Medica, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy.

出版信息

J Pers Med. 2022 Jan 18;12(2):128. doi: 10.3390/jpm12020128.

DOI:10.3390/jpm12020128
PMID:35207616
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8880341/
Abstract

Colorectal cancer (CRC) is one of the most frequent tumours and one of the major causes of morbidity and mortality globally. Its incidence has increased in recent years and could be linked to unhealthy dietary habits combined with environmental and hereditary factors, which can lead to genetic and epigenetic changes and induce tumour development. The model of CRC progression has always been based on a genomic, parametric, static and complex approach involving oncogenes and tumour suppressor genes. Recent advances in omics sciences have sought a paradigm shift to a multiparametric, immunological-stromal, and dynamic approach for a better understanding of carcinogenesis and tumour heterogeneity. In the present paper, we review the most important preclinical and clinical data and present recent discoveries in the field of transcriptomics, proteomics, metagenomics and radiomics in CRC disease.

摘要

结直肠癌(CRC)是全球最常见的肿瘤之一,也是发病和死亡的主要原因之一。近年来其发病率有所上升,可能与不健康的饮食习惯以及环境和遗传因素有关,这些因素可导致基因和表观遗传变化并诱发肿瘤发展。CRC进展模型一直基于涉及癌基因和肿瘤抑制基因的基因组、参数化、静态且复杂的方法。组学科学的最新进展寻求向多参数、免疫-基质和动态方法的范式转变,以便更好地理解致癌作用和肿瘤异质性。在本文中,我们回顾了最重要的临床前和临床数据,并介绍了CRC疾病在转录组学、蛋白质组学、宏基因组学和放射组学领域的最新发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df0e/8880341/719e3b46e6ae/jpm-12-00128-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df0e/8880341/719e3b46e6ae/jpm-12-00128-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df0e/8880341/719e3b46e6ae/jpm-12-00128-g001.jpg

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Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.人工智能在结直肠癌术前淋巴结分期中的应用:系统评价和荟萃分析。
BMC Cancer. 2021 Sep 26;21(1):1058. doi: 10.1186/s12885-021-08773-w.
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Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study.基于计算机断层扫描的影像组学模型术前预测结直肠癌微卫星不稳定性状态:一项多中心研究
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Predicting Microsatellite Instability Status in Colorectal Cancer Based on Triphasic Enhanced Computed Tomography Radiomics Signatures: A Multicenter Study.
结直肠癌中的肠道微生物群:从实验室到临床的宏基因组学
JNCI Cancer Spectr. 2025 Apr 30;9(3). doi: 10.1093/jncics/pkaf026.
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Evaluation of SNaPshot and Sanger sequencing for the detection of and mutations in a sample of Venezuelan patients with colorectal cancer.评估SNaPshot和桑格测序法在检测委内瑞拉结直肠癌患者样本中的 和 突变情况。 (你原文中“ and ”部分内容缺失,请补充完整准确信息后再让我翻译,以便更精准翻译)
Ecancermedicalscience. 2024 Nov 13;18:1797. doi: 10.3332/ecancer.2024.1797. eCollection 2024.
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First-Line Therapy in Metastatic, RAS Wild-Type, Left-Sided Colorectal Cancer: Should Everyone Receive Anti-EGFR Therapy?转移性、RAS 野生型、左侧结直肠癌的一线治疗:是否所有人都应接受抗 EGFR 治疗?
Curr Oncol Rep. 2024 Nov;26(11):1489-1501. doi: 10.1007/s11912-024-01601-x. Epub 2024 Oct 11.
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Overexpression of ZNF169 promotes the growth and proliferation of colorectal cancer cells via the upregulation of ANKZF1.ZNF169 的过表达通过上调 ANKZF1 促进结直肠癌细胞的生长和增殖。
Oncol Rep. 2024 Jun;51(6). doi: 10.3892/or.2024.8741. Epub 2024 Apr 26.
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