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Personalized tumor combination therapy optimization using the single-cell transcriptome.

Chen TangShaliu FuXuan JinWannian LiFeiyang XingBin DuanXiaojie ChengXiaohan ChenShuguang WangChenyu ZhuGaoyang LiGuohui ChuaiYayi HePing WangQi Liu
Published in: Genome medicine (2023)
Overall, comboSC provides a feasible and one-stop computational prototype and a proof-of-concept study to predict potential drug combinations for further experimental validation and clinical usage using the single-cell transcriptome, which will facilitate and accelerate personalized tumor treatment by reducing screening time from a large drug combination space and saving valuable treatment time for individual patients. A user-friendly web server of comboSC for both clinical and research users is available at www.combosc.top . The source code is also available on GitHub at https://github.com/bm2-lab/comboSC .
Keyphrases
  • single cell
  • combination therapy
  • rna seq
  • high throughput
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • emergency department
  • replacement therapy
  • drug induced