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Supplementary Tables3-5,7-9 from Expression Levels of Therapeutic Targets as Indicators of Sensitivity to Targeted Therapeutics

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posted on 2023-04-03, 16:11 authored by Riti Roy, Louise N. Winteringham, Timo Lassmann, Alistair R.R. Forrest

Supplementary Table 3a: Molecular Targets of the Anticancer Drugs from GDSC, CTRP and DrugBank. Spearman correlation and permutation testing results are provided for both the GDSC and CTRP datasets. Supplementary Table 4: List of drugs where we observe both a correlated and an anti-correlated target in GDSC and CRTP datasets. Supplementary Table 5: Fractions of single cells in each cell line expressing both targets from Figure 3. Supplementary Table 7: Transcript isoform aware reanalysis of CTRP-GDSC concordance. Spearman correlation values between drug sensitivity and drug-target transcript isoforms expression for 74 drugs common between GDSC and CTRP. The 541 cell lines common in GDSC and CTRP where drug-target transcript isoform expression and AUC values could be obtained were considered. As GDSC and CTRP provide gene-level expression measurements from different microarray versions (Affymetrix GeneChip HG-U133A in GDSC and HG-U133PLUS2 in CTRP), which potentially detect different isoforms of each gene, we repeated our analysis at the transcript level. Supplementary Table 8: The top 20 strongest correlations and top 20 strongest anti-correlations between drug sensitivity and gene expression for the GDSC and CTRP datasets. Supplementary Table 9: Drug-target pairs that are significantly correlated in cell lines derived from a cancer subtype but not significantly correlated in the pan-cancer analysis.

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Australian National Health and Medical Research Council Fellowship

Feilman Foundation

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ARTICLE ABSTRACT

Cancer precision medicine aims to predict the drug likely to yield the best response for a patient. Genomic sequencing of tumors is currently being used to better inform treatment options; however, this approach has had a limited clinical impact due to the paucity of actionable mutations. An alternative to mutation status is the use of gene expression signatures to predict response. Using data from two large-scale studies, The Genomics of Drug Sensitivity of Cancer (GDSC) and The Cancer Therapeutics Response Portal (CTRP), we investigated the relationship between the sensitivity of hundreds of cell lines to hundreds of drugs, and the relative expression levels of the targets these drugs are directed against. For approximately one third of the drugs considered (73/222 in GDSC and 131/360 in CTRP), sensitivity was significantly correlated with the expression of at least one of the known targets. Surprisingly, for 8% of the annotated targets, there was a significant anticorrelation between target expression and sensitivity. For several cases, this corresponded to drugs targeting multiple genes in the same family, with the expression of one target significantly correlated with sensitivity and another significantly anticorrelated suggesting a possible role in resistance. Furthermore, we identified nontarget genes that are significantly correlated or anticorrelated with drug sensitivity, and find literature linking several to sensitization and resistance. Our analyses provide novel and important insights into both potential mechanisms of resistance and relative efficacy of drugs against the same target.

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    Molecular Cancer Therapeutics

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