Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

4.8K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
4.8K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

7.0K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
7.0K
Genetic Variation01:25

Genetic Variation

250
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
250
Classification of Systems-II01:31

Classification of Systems-II

132
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
132
Classification of Leukocytes01:30

Classification of Leukocytes

1.4K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
1.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Towards evolutionary guided precision medicine of acute myeloid leukemia and Fanconi anemia associated bone marrow failure.

Stem cells translational medicine·2026
Same author

Generating crossmodal gene expression from cancer histopathology improves multimodal AI predictions.

Nature communications·2025
Same author

PEGASUS: Unlocking Polarity in Cell-Permeable Cyclic Peptides Using AI Models Built on Massively Parallel Biological Assays.

Journal of medicinal chemistry·2025
Same author

Probability Distribution for Rare Neutral Mutations in Cancers and Application to Dynamic Precision Medicine of Cancer.

bioRxiv : the preprint server for biology·2025
Same author

Digital twins in oncology: where we are and where we hope to go.

BMJ oncology·2025
Same author

A Proof-of-Concept Clinical Trial Design for Evolutionary Guided Precision Medicine for Cancer.

medRxiv : the preprint server for health sciences·2025
Same journal

Development and Validation of Salivary Exosomal Tri-RNA Liquid Biopsy in Esophageal Carcinoma: A Multicenter Study.

JCO precision oncology·2026
Same journal

Implementing Timely Germline Genetic Testing for Patients With Pancreatic Cancer Using a Genetics Copilot for Point-of-Care Education and Health Assessment.

JCO precision oncology·2026
Same journal

Integrating DNA Mutations and RNA Expression of Cancer Driver Genes in Asian Rare Cancers: A Pan-Cancer Analysis.

JCO precision oncology·2026
Same journal

Sustained Response to Trametinib in Central Giant Cell Granuloma With <i>KRAS</i> Gain-of-Function Mutation: A Case Report.

JCO precision oncology·2026
Same journal

DNA Damage Response Alterations and Immune Checkpoint Blockade Outcomes Across Multiple Cancers.

JCO precision oncology·2026
Same journal

Prediction of Anthracycline Benefit in Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Early-Stage Breast Cancer by the MammaPrint 70-Gene Signature for Patients Enrolled in the FLEX Study.

JCO precision oncology·2026
查看所有相关文章

相关实验视频

Updated: May 22, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K

进化指导精准医学的通用进化分类器

Matthew McCoy1, Chen-Hsiang Yeang2, Shaymaa Bahnassy3

  • 1Department of Oncology, Lombardi Comprehensive Cancer Center and Innovation Center for Biomedical Informatics, Georgetown University Medical Center, Washington, DC.

JCO precision oncology
|March 13, 2025
PubMed
概括
此摘要是机器生成的。

动态精确医学 (DPM) 提供了显著的生存益处,前两个治疗适应提供了大部分的临床优势. 这种方法可以识别出可能受益于DPM建议与当前精准医学 (CPM) 提前分歧的患者.

更多相关视频

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.1K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.1K

相关实验视频

Last Updated: May 22, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.4K
Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.1K
Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
05:53

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

10.1K

科学领域:

  • 在瘤学瘤学.
  • 计算生物学 计算生物学
  • 翻译医学是一种翻译医学.

背景情况:

  • 目前的精准医学 (CPM) 面临着由于瘤异质性的演变而导致治疗耐药性的挑战.
  • 动态精准医学 (DPM),一种进化引导精准医学 (EGPM) 方法,通过追踪遗传多样性和调整治疗方法来解决这一问题.
  • 通过频繁的适应和组合疗法,DPM旨在主动管理耐药性并改善长期生存.

研究的目的:

  • 评估缩短DPM治疗窗口的临床效用,特别是两个6周的适应.
  • 为了确定有限的DPM干预是否可以产生与更广泛的治疗序列相比的实质性益处.
  • 评估DPM频繁监控的成本效益和可行性.

主要方法:

  • 模拟了近300万个虚拟患者,具有不同的遗传特征和治疗反应.
  • 对标准CPM,全DPM (40次),有限DPM (2次) 的治疗结果进行比较.
  • 分析了DPM输入参数,包括初始亚克隆组成,药物敏感性和运动性质.

主要成果:

  • 最初的两个DPM适应提供了与虚拟患者队列中的40个适应序列相比的平均存活益处.
  • 如果最初的两个治疗建议与CPM相匹配 (65%负预测值),患者没有从DPM中获益.
  • 20%的患者从2次移动DPM中获得了非凡的好处,类似于40次移动DPM (危险比率0.03).

结论:

  • 前两种DPM适应捕获了大部分临床益处,可能减少了长期密集监测的需要.
  • 一个进化分类器可以确定哪些患者将从DPM中获益最多,特别是当DPM和CPM的建议在早期分歧时.
  • 这些发现支持DPM和其他EGPM策略的临床可行性,使他们更接近患者测试.