| Literature DB >> 30425352 |
Ádám Póti1, Kinga Berta1, Yonghong Xiao2, Orsolya Pipek3, Gregory T Klus4,5,6, Thomas Ried4, István Csabai3, Keith Wilcoxen2, Keith Mikule2, Zoltan Szallasi7,8,9,10, Dávid Szüts11.
Abstract
BACKGROUND: Poly-ADP ribose polymerase (PARP) inhibitor-based cancer therapy selectively targets cells with deficient homologous recombination repair. Considering their long-term use in maintenance treatment, any potential mutagenic effect of PARP inhibitor treatment could accelerate the development of resistance or harm non-malignant somatic cells.Entities:
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Year: 2018 PMID: 30425352 PMCID: PMC6265254 DOI: 10.1038/s41416-018-0312-6
Source DB: PubMed Journal: Br J Cancer ISSN: 0007-0920 Impact factor: 7.640
Fig. 1Long-term niraparib treatments. a A schematic outline of the long-term treatment experiments. Single-cell clones were expanded over a period of 20 days (DT40 cell lines) or 30 days (DLD-1 and SUM149PT cell lines). A sample was taken for sequencing as soon as a sufficient number of cells was available (“starting clone”). Further single-cell cloning was performed at the end of the treatment; one clone was sequenced from each treated cell population. b Doubling time of the indicated cell lines during continuous mock or niraparib treatment. The p values of significant changes are shown (t test). b A comparison of the niraparib sensitivity of WT and BRCA1 DT40 cell lines using cytotoxicity assays. c–e Measurement of the niraparib sensitivity of the experimental cell lines using cytotoxicity assays. The mean and SEM of three independent experiments is shown in b–e. NS not significant
Fig. 2SNVs generated during long-term niraparib treatment. a The mean number of SNVs generated per sequenced genome in each indicated cell line following mock treatment or treatment with the indicated concentration of niraparib. Red symbols show the values for individual samples, error bars indicate SEM. b–e Mean triplet SNV mutation spectrum of the mock treatment (top panel) or niraparib treatment (bottom panel) in the indicated cell lines. Each mutation class, as indicated at the top of the panel, is separated into 16 categories based on the identity of the preceding and following nucleotide as shown below. The order of the following nucleotides, not shown due to lack of space, is alphabetical. f Similarities and differences of the triplet SNV spectra of individual samples visualised using t-distributed stochastic neighbour embedding (t-SNE). g Comparison of the mean triplet SNV spectra shown in b–e to COSMIC mutation signatures using t-SNE. Experimental spectra are labelled according to the key shown on the right; COSMIC signatures are numbered
Fig. 3Indels generated during long-term niraparib treatment. a, b The mean number of short insertions (a) or short deletions (b) generated per sequenced genome in each indicated cell line following mock treatment or treatment with the indicated concentration of niraparib. Red symbols show the values for individual samples. c A classification of detected short deletion events by sequence context. The minimum length of classified microhomologies was 1 bp. Error bars indicate SEM in all panels. Significant differences are indicated (p < 0.05, unpaired t test)
Fig. 4Large rearrangements and sister chromatid exchanges generated during long-term niraparib treatment. a The mean number of structural variations (SV) per genome derived from CREST analysis, separately showing large insertions, large deletions, intrachromosomal rearrangements (ITX) and interchromosomal rearrangements (CTX). Error bars indicate SEM in all panels. Significant differences are indicated (p < 0.05, unpaired t test), all other pairwise comparisons between the mock-treated and niraparib-treated values were not significant. b, c The number of SCEs measured in DLD-1 cells (b) and 184B5 cells (c) following treatment with 500 nM niraparib or 500 nM olaparib is shown as SCEs per number of chromosomes in each cell. Black lines indicate the median and the lower and upper quartiles
Fig. 5The effect of niraparib on the formation of subclonal tumour-specific mutations in PDX models. a, b Tumour growth in animals implanted with the indicated PDX model. The mean and SEM of four independent samples is shown. c The mean number of unique SNVs (top panel), short insertions (middle panel) and short deletions (bottom panel) identified in whole-exome sequence data from tumour samples derived from control or niraparib-treated animals. Red symbols show the values for individual samples; error bars indicate SEM. Significant differences are indicated (p < 0.05, unpaired t test); NS not significant. d, e Allele frequency distribution of SNVs unique to individual samples (blue, the mean of all six sequenced samples of each PDX is shown), and of SNVs common to all samples of the respective PDX (red). f, g Mean triplet mutation spectrum of unique SNVs in the indicated vehicle-treated (top panel) or niraparib-treated (bottom panel) PDX samples. h, i Triplet mutation spectrum of common SNVs in the indicated PDX samples. The labelling of panels f–i is as described under Fig. 2