针对黑色素瘤的最小残留病导治疗
Florian Rambow1, Aljosja Rogiers1, Oskar Marin-Bejar1
1Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, KU Leuven, Leuven, Belgium; Department of Oncology, KU Leuven, Leuven, Belgium.
Cell
|July 19, 2018
概括
晚期癌症的最小残留疾病 (MRD) 可能导致复发. 在RXRG的推动下,针对MRD的神经干细胞 (NCSC) 程序提供了一种克服黑色素瘤治疗阻力的新策略.
科学领域:
- 癌症学
- 分子生物学
- 遗传学
背景情况:
- 晚期的癌症通常会获得初始的治疗反应,但会保持最小的残留疾病 (MRD),导致复发.
- 了解MRD背后的生物机制对于开发有效的治疗策略至关重要.
- 由于它们对向治疗的反应,BRAF突变黑色素瘤是癌症研究的重要焦点.
研究的目的:
- 研究BRAF突变黑色素瘤中最小残留疾病 (MRD) 的生物特征.
- 在RAF/MEK抑制后在MRD中识别耐药转录状态.
- 探索特定的转录程序及其驱动器在治疗耐药性的作用.
主要方法:
- 单细胞RNA测序用于来自患者的异种移植 (PDX) 黑色素瘤模型中的恶性细胞.
- 这些模型同时接受RAF/ MEK抑制剂的治疗.
- 从PDX和患者活检中分析了MRD中的转录状态.
主要成果:
- 在MRD中发现了不同的药物耐受性转录状态.
- 在MRD中发现了一个由核受体RXRG驱动的神经干细胞 (NCSC) 转录程序.
- 抑制RXR (视网膜X受体) 减少了MRD中NCSC的积累,并延迟了耐药性的发展.
结论:
- 神经干细胞 (NCSC) 被确定为最小残留疾病 (MRD) 治疗耐药性的关键驱动因素.
- 针对RXRG和NCSC方案是针对MRD治疗的潜在治疗策略.
- 可以利用重编程基因调节网络架构来限制细胞异质性并克服抗性.
相关概念视频
Residual Plots
6.5K
A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
When the residual values are plotted against the variable x, it is called a residual...
6.5K
Residual Stresses
652
Residual stresses reside in a structure even after removing the original stress inducer. This phenomenon often arises from varied plastic deformations across different parts of a structure. Consider a rod stretched beyond its yield point. It will not regain its original length due to permanent deformation. Even after load removal, the rod does not entirely lose stress because of uneven plastic deformations, resulting in residual stresses. The computation of these stresses in structures is...
652
Gene Therapy
27.7K
Gene therapy is a technique where a gene is inserted into a person’s cells to prevent or treat a serious disease. The added gene may be a healthy version of the gene that is mutated in the patient, or it could be a different gene that inactivates or compensates for the patient’s disease-causing gene. For example, in patients with severe combined immunodeficiency (SCID) due to a mutation in the gene for the enzyme adenosine deaminase, a functioning version of the gene can be...
27.7K
Residual Stresses in Circular Shafts
546
In materials that exhibit elastic and plastic behavior, known as elastoplastic materials, residual stresses can accumulate when these materials experience plastic deformation. This deformation arises from either high levels of shearing stress or significant strains. Residual stresses are internal stresses that persist within a material after removing the external force causing deformation. This phenomenon is demonstrated when observing the behavior of a shaft under torque; notably, the...
546
Residual Stresses in Bending
569
In the study of elastoplastic members subjected to bending moments, understanding the loading and unloading phases is crucial for assessing material behavior and structural integrity. During the loading phase, as the bending moment increases, the material initially responds elastically, adhering to Hooke's Law, where stress is directly proportional to strain. When the load exceeds the yield strength, plastic deformation occurs, resulting in permanent strain and deformation that remains even...
569
Residuals and Least-Squares Property
9.5K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
9.5K


