Publications by authors named "Runxi Shen"
Article Synopsis
- Research seeks to improve chemotherapy and PD-1 inhibitors for advanced non-small-cell lung cancer (NSCLC) by analyzing circulating tumor DNA (ctDNA) from 460 patients in the CHOICE-01 study.
- Key predictive markers such as ctDNA status, tumor mutational burden, and chromosomal instability were identified to tailor treatment strategies for better patient outcomes.
- An integrated ctDNA-based stratification system, called blood-based genomic immune subtypes (bGIS), offers a new way to personalize therapies and monitor treatment responses in advanced NSCLC patients.
Selective pressures on DNA sequences often result in departures from neutral evolution that can be captured by the McDonald-Kreitman (MK) test. However, the nature of such selective forces often remains unknown to experimentalists. Amino acid fixations driven by natural selection in protein-coding genes are commonly associated with a genetic arms race or changing biological purposes, leading to proteins with new functionality.
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- Bulk segregant analysis identifies genetic loci linked to phenotypic traits by comparing allele frequencies in two pools from an interbred population.
- The method has successfully mapped quantitative trait loci in various organisms but often suffers from low mapping resolution and lacks clarity on experimental parameters affecting this resolution.
- Using coalescence theory, researchers model the expected genomic resolution, finding it depends on recombination rates, generation number, and sample size, while also addressing the influence of finite population sizes on mapping accuracy.