Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response Prediction

Comprehensive genomic profiling using cancer gene panels has been shown to improve treatment options for a variety of cancer types. However, genomic aberrations detected via such gene panels do not necessarily serve as strong predictors of drug sensitivity. In this study, using pharmacogenomics data...

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Main Authors: Artem Baranovskii, Irem B. Gündüz, Vedran Franke, Bora Uyar, Altuna Akalin
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Cancers
Subjects:
Online Access:https://www.mdpi.com/2072-6694/14/22/5604
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author Artem Baranovskii
Irem B. Gündüz
Vedran Franke
Bora Uyar
Altuna Akalin
author_facet Artem Baranovskii
Irem B. Gündüz
Vedran Franke
Bora Uyar
Altuna Akalin
author_sort Artem Baranovskii
collection DOAJ
description Comprehensive genomic profiling using cancer gene panels has been shown to improve treatment options for a variety of cancer types. However, genomic aberrations detected via such gene panels do not necessarily serve as strong predictors of drug sensitivity. In this study, using pharmacogenomics datasets of cell lines, patient-derived xenografts, and ex vivo treated fresh tumor specimens, we demonstrate that utilizing the transcriptome on top of gene panel features substantially improves drug response prediction performance in cancer.
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spelling doaj.art-28a7aa21267f4a59bdfc6342d2df35842023-11-24T07:53:49ZengMDPI AGCancers2072-66942022-11-011422560410.3390/cancers14225604Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response PredictionArtem Baranovskii0Irem B. Gündüz1Vedran Franke2Bora Uyar3Altuna Akalin4Non-Coding RNAs and Mechanisms of Cytoplasmic Gene Regulation Lab, Berlin Institute for Medical Systems Biology, Max Delbrück Center (MDC) for Molecular Medicine, Hannoversche Str. 28, 10115 Berlin, GermanyIntegrative Cellular Biology & Bioinformatics Lab, Saarland University, 66123 Saarbrücken, GermanyMax Delbrück Center (MDC) for Molecular Medicine, Bioinformatics and Omics Data Science Platform, The Berlin Institute for Medical Systems Biology, Hannoversche Str. 28, 10115 Berlin, GermanyMax Delbrück Center (MDC) for Molecular Medicine, Bioinformatics and Omics Data Science Platform, The Berlin Institute for Medical Systems Biology, Hannoversche Str. 28, 10115 Berlin, GermanyMax Delbrück Center (MDC) for Molecular Medicine, Bioinformatics and Omics Data Science Platform, The Berlin Institute for Medical Systems Biology, Hannoversche Str. 28, 10115 Berlin, GermanyComprehensive genomic profiling using cancer gene panels has been shown to improve treatment options for a variety of cancer types. However, genomic aberrations detected via such gene panels do not necessarily serve as strong predictors of drug sensitivity. In this study, using pharmacogenomics datasets of cell lines, patient-derived xenografts, and ex vivo treated fresh tumor specimens, we demonstrate that utilizing the transcriptome on top of gene panel features substantially improves drug response prediction performance in cancer.https://www.mdpi.com/2072-6694/14/22/5604multi-omicscancerdrug response predictionpharmacogenomicspanel sequencing
spellingShingle Artem Baranovskii
Irem B. Gündüz
Vedran Franke
Bora Uyar
Altuna Akalin
Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response Prediction
Cancers
multi-omics
cancer
drug response prediction
pharmacogenomics
panel sequencing
title Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response Prediction
title_full Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response Prediction
title_fullStr Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response Prediction
title_full_unstemmed Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response Prediction
title_short Multi-Omics Alleviates the Limitations of Panel Sequencing for Cancer Drug Response Prediction
title_sort multi omics alleviates the limitations of panel sequencing for cancer drug response prediction
topic multi-omics
cancer
drug response prediction
pharmacogenomics
panel sequencing
url https://www.mdpi.com/2072-6694/14/22/5604
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AT vedranfranke multiomicsalleviatesthelimitationsofpanelsequencingforcancerdrugresponseprediction
AT borauyar multiomicsalleviatesthelimitationsofpanelsequencingforcancerdrugresponseprediction
AT altunaakalin multiomicsalleviatesthelimitationsofpanelsequencingforcancerdrugresponseprediction