同时的生殖线-体质变化和与癌症结果的关联:对同时使用数据的系统审查
Research square
|February 12, 2026
概括
对癌症患者同时发生的生殖线和体质变化的分析揭示了它们与临床结果的关联. 在研究设计的早期整合这些数据可以增强癌症遗传学的应用.
科学领域:
- 在瘤学瘤学.
- 遗传学 遗传学 是一个
- 生物信息学是一种生物信息学.
背景情况:
- 在癌症患者中,常规收集生殖线和体质数据是常见的.
- 了解这些遗传改变对患者结果的综合影响仍然是有限的.
研究的目的:
- 绘制与癌症同时发生的生殖线体质变化和临床结果之间的关联.
- 发现报告中的差距,并指导癌症遗传学的未来研究.
主要方法:
- 系统审查到2024年2月发表的涉及癌症患者的研究.
- 纳入标准要求研究具有结局关联的生殖线和体质数据.
- 抽象的数据包括研究设计,患者特征,数据类型和报告的关联.
主要成果:
- 在8,613项研究中,有197项符合纳入标准.
- 生殖系BRCA2 /体质TP53和生殖系BRCA1 /体质TP53是最受研究的并发变化.
- 在41.6%的研究中进行了对并发变化的统计分析;31个报告的益处,28个报告的危害.
结论:
- 同时的生殖线-体质数据分析对于理解癌症遗传学至关重要.
- 在研究设计中对并发数据分析进行主动规划可以改善临床应用.
相关概念视频
Cancers Originate from Somatic Mutations in a Single Cell
15.0K
Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
15.0K
Review and Preview
8.4K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview
11.6K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K
Alterations in Respiration II
1.9K
There are numerous types of normal and abnormal respiration. Based on ventilatory movements, breathing patterns are classified as regular, deep, or shallow. Examples include Biot's breathing, Cheyne-Stokes respiration, Kussmaul's breathing, hyperventilation, and hypoventilation. Each pattern is clinically significant and aids in evaluating patients.
In Biot's breathing, the respiratory rate and depth are irregular, alternating between periods of deep gasping and apnea. Common causes...
In Biot's breathing, the respiratory rate and depth are irregular, alternating between periods of deep gasping and apnea. Common causes...
1.9K
Predicting Reaction Outcomes
11.0K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.0K
Random and Systematic Errors
15.3K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.3K


