概括
乳腺癌的治疗依赖于瘤的遗传变化. 病理学家评估预后和预测标记,以针对特定的乳腺癌亚型量身定制治疗,改善患者的治疗结果.
科学领域:
- 在瘤学瘤学.
- 病理学 病理学 病理学
- 遗传学 是一个遗传学.
背景情况:
- 乳腺癌是女性最常见的恶性瘤.
- 治疗策略是由瘤遗传变化的信息.
- 乳腺癌的异质性需要基于生物标志物的个性化治疗.
研究的目的:
- 提供乳腺癌的预后和预测标记的概述.
- 突出基因变化在治疗决策中的作用.
- 强调病理学家在评估这些标记物的作用.
主要方法:
- 关于乳腺癌生物标志物的当前文献的综述.
- 分析既定和新兴的遗传标记.
- 病理学家对诊断评估的讨论.
主要成果:
- 乳腺癌的分类依赖于激素受体,HER2和Ki-67.
- 新型遗传标记提供了扩大治疗可能性.
- 病理学评估对于标志物评估至关重要.
结论:
- 准确评估预后和预测标志物对于有效的乳腺癌管理至关重要.
- 了解瘤遗传学指导个性化治疗方法.
- 病理学家在解释临床决策中的这些标志物方面发挥着至关重要的作用.
相关概念视频
Treatment Resistant Cancers
3.8K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.8K
Predicting Molecular Geometry
46.2K
VSEPR Theory for Determination of Electron Pair Geometries
46.2K
Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
Transcription Factors
82.9K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
82.9K
Sensitivity, Specificity, and Predicted Value
1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
1.4K
End Point Prediction: Gran Plot
1.3K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
1.3K


