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Titlebook: Illuminating Colorectal Cancer Genomics by Next-Generation Sequencing; A Big Chapter in the Khalid El Bairi Book 2020 The Editor(s) (if app

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樓主: 使無罪
31#
發(fā)表于 2025-3-26 23:14:01 | 只看該作者
32#
發(fā)表于 2025-3-27 03:55:29 | 只看該作者
33#
發(fā)表于 2025-3-27 07:59:38 | 只看該作者
Gut Microbiota, Next-Generation Sequencing, Immune-Checkpoint Inhibitors, and Colorectal Cancer: Hoell as survival outcomes. The focus of this chapter is to critically review the role of gut microbiota in colorectal carcinogenesis and its potential in biomarker development and progress of the rapidly evolving oncoimmunology. We also discuss the perspectives of using microbiota in the clinical decision-making workflow.
34#
發(fā)表于 2025-3-27 10:05:40 | 只看該作者
een gut microbiota, immune-checkpoint blockade and CRC.Highl.This book reviews the potential of next-generation sequencing (NGS) in research on and management of colorectal cancer (CRC), a leading cause of death worldwide and one of the most biologically and clinically heterogeneous cancers. It crit
35#
發(fā)表于 2025-3-27 13:49:26 | 只看該作者
36#
發(fā)表于 2025-3-27 18:57:49 | 只看該作者
37#
發(fā)表于 2025-3-28 00:47:35 | 只看該作者
The Arrival of Next-Generation Sequencing: An Overview of Current Technologies,sing small quantities of nucleic acids. In this chapter, we describe the advantages and limitations of current NGS platforms including those using sequencing by synthesis, sequencing by ligation, and real-time sequencing, as well as their significant impact in molecular oncology.
38#
發(fā)表于 2025-3-28 03:51:24 | 只看該作者
An Introduction to the Current Management of Colorectal Cancer in the Era of Personalized Oncology,s has enabled better decision-making algorithms particularly with implementation of molecular pathology and targeted anticancer agents, including immune-checkpoint inhibitors that may radically change the management of this disease and its outcomes in the coming years.
39#
發(fā)表于 2025-3-28 10:18:02 | 只看該作者
Next-Generation Sequencing for Colorectal Cancer Management,GS workflow has successfully used to offer personalized medical care in CRC with a remarkable reduction of cost and time. However, this field is still facing many challenges regarding data analysis and development of bioinformatic tools as well as the clinical impact of the data obtained.
40#
發(fā)表于 2025-3-28 10:27:28 | 只看該作者
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