Where academic tradition
meets the exciting future

You are here: TUCS > PUBLICATIONS > Publication Search > Quantitative Scoring of Differ...

Quantitative Scoring of Differential Drug Sensitivity for Individually Optimized Anticancer Therapies

Bhagwan Yadav, Tea Pemovska, Agnieszka Szwajda, Evgeny Kulesskiy, Mika Kontro, Riikka Karjalainen, Muntasir Mamun Majumder, Disha Malani, Astrid Murumägi, Jonathan Knowles, Kimmo Porkka, Caroline Heckman, Olli Kallioniemi, Krister Wennerberg, Tero Aittokallio, Quantitative Scoring of Differential Drug Sensitivity for Individually Optimized Anticancer Therapies. Scientific Reports 4(5193), , 2014.

Abstract:

We developed a systematic algorithmic solution for quantitative drug sensitivity scoring (DSS), based on continuous modeling and integration of multiple dose-response relationships in high-throughput compound testing studies. Mathematical model estimation and continuous interpolation makes the scoring approach robust against sources of technical variability and widely applicable to various experimental settings, both in cancer cell line models and primary patient-derived cells. Here, we demonstrate its improved performance over other response parameters especially in a leukemia patient case study, where differential DSS between patient and control cells enabled identification of both cancer-selective drugs and drug-sensitive patient sub-groups, as well as dynamic monitoring of the response patterns and oncogenic driver signals during cancer progression and relapse in individual patient cells ex vivo. An open-source and easily extendable implementation of the DSS calculation is made freely available to support its tailored application to translating drug sensitivity testing results into clinically actionable treatment options.

BibTeX entry:

@ARTICLE{jYaPeSzKuKoKaMaMaMuKnPoHeKaWeAi14a,
  title = {Quantitative Scoring of Differential Drug Sensitivity for Individually Optimized Anticancer Therapies},
  author = {Yadav, Bhagwan and Pemovska, Tea and Szwajda, Agnieszka and Kulesskiy, Evgeny and Kontro, Mika and Karjalainen, Riikka and Majumder, Muntasir Mamun and Malani, Disha and Murumägi, Astrid and Knowles, Jonathan and Porkka, Kimmo and Heckman, Caroline and Kallioniemi, Olli and Wennerberg, Krister and Aittokallio, Tero},
  journal = {Scientific Reports},
  volume = {4},
  number = {5193},
  pages = {      },
  year = {2014},
}

Belongs to TUCS Research Unit(s): Biomathematics Research Unit (BIOMATH)

Publication Forum rating of this publication: level 2

Edit publication