Broad Genomic Testing in NSCLC: No Survival Benefit?

    Cancer Discovery
    |September 2, 2018
    PubMed
    Summary

    Broad genomic testing showed no benefit over routine testing for advanced non-small cell lung cancer. This may be due to patients not receiving targeted therapies, not flaws in precision medicine.

    Related Concept Videos

    Benefits of Self-Esteem01:25

    Benefits of Self-Esteem

    Self-esteem—an individual's overall evaluation of their worth—plays a complex role in psychological functioning and well-being. It is often associated with many positive traits, such as confidence, optimism, and perseverance. Individuals with high self-esteem typically experience better sleep, manage peer pressure more effectively, and report greater life satisfaction. Conversely, low self-esteem has been consistently linked with increased risks of depression, anxiety, and poor...
    203
    Genomics02:02

    Genomics

    Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
    40.7K
    Survival Curves01:18

    Survival Curves

    Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
    The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
    719
    Survival Tree01:19

    Survival Tree

    Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
     Building a Survival Tree
    Constructing a...
    433
    Genomic Imprinting and Inheritance02:30

    Genomic Imprinting and Inheritance

    Diploid organisms inherit genetic material through chromosomes from both parents. Copies of the same gene are known as alleles. In most cases, both alleles are simultaneously expressed and allow various cellular processes to function optimally. If one of the alleles is missing or mutated, the expression of the other allele can compensate; however, this is not true for all genes.
    The expression of some genes depends on which parent passed the gene to the offspring, through a phenomenon known as...
    37.2K
    Introduction To Survival Analysis01:18

    Introduction To Survival Analysis

    Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
    The primary goal of survival analysis is to estimate survival time—the time...
    795