Abstract

Patients with seemingly the same tumour can respond very differently to treatment. There are strong, well-established effects of somatic mutations on drug efficacy, but there is at-most anecdotal evidence of a germline component to drug response. Here, we report a systematic survey of how inherited germline variants affect drug susceptibility in cancer cell lines. We develop a joint analysis approach that leverages both germline and somatic variants, before applying it to screening data from 993 cell lines and 265 drugs. Surprisingly, we find that the germline contribution to variation in drug susceptibility can be as large or larger than effects due to somatic mutations. Several of the associations identified have a direct relationship to the drug target. Finally, using 17-AAG response as an example, we show how germline effects in combination with transcriptomic data can be leveraged for improved patient stratification and to identify new markers for drug sensitivity.

Highlights

  • Patients with seemingly the same tumour can respond very differently to treatment

  • Our study provides a systematic characterisation of the effect of germline genetic variations on drug response in cancer cell lines

  • We find that joint modelling of somatic mutations and germline variants can yield substantially improved predictions of personalised drug efficacy

Read more

Summary

Introduction

Patients with seemingly the same tumour can respond very differently to treatment. There are strong, well-established effects of somatic mutations on drug efficacy, but there is atmost anecdotal evidence of a germline component to drug response. We used quantitative trait locus (QTL) mapping to test for genetic associations with response to each of the 265 drugs, considering both germline variants or somatic mutations.

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call