The future of eQTL research in cancer lies in integrating multi-omics data, such as genomics, transcriptomics, and epigenomics, to provide a more comprehensive understanding of gene regulation in cancer. Advances in single-cell sequencing and machine learning will further enhance the identification and interpretation of eQTLs, paving the way for more precise and effective cancer treatments.
In summary, eQTLs play a vital role in understanding the genetic regulation of gene expression in cancer. They offer valuable insights into tumor biology, heterogeneity, and treatment response, although there are challenges that need to be addressed. Continued research in this field holds great promise for improving cancer diagnosis, prognosis, and therapy.
