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. 2016 Feb 22;11(2):e0149756.
doi: 10.1371/journal.pone.0149756. eCollection 2016.

Multiplex PCR and Next Generation Sequencing for the Non-Invasive Detection of Bladder Cancer

Affiliations

Multiplex PCR and Next Generation Sequencing for the Non-Invasive Detection of Bladder Cancer

Douglas G Ward et al. PLoS One. .

Abstract

Background: Highly sensitive and specific urine-based tests to detect either primary or recurrent bladder cancer have proved elusive to date. Our ever increasing knowledge of the genomic aberrations in bladder cancer should enable the development of such tests based on urinary DNA.

Methods: DNA was extracted from urine cell pellets and PCR used to amplify the regions of the TERT promoter and coding regions of FGFR3, PIK3CA, TP53, HRAS, KDM6A and RXRA which are frequently mutated in bladder cancer. The PCR products were barcoded, pooled and paired-end 2 x 250 bp sequencing performed on an Illumina MiSeq. Urinary DNA was analysed from 20 non-cancer controls, 120 primary bladder cancer patients (41 pTa, 40 pT1, 39 pT2+) and 91 bladder cancer patients post-TURBT (89 cancer-free).

Results: Despite the small quantities of DNA extracted from some urine cell pellets, 96% of the samples yielded mean read depths >500. Analysing only previously reported point mutations, TERT mutations were found in 55% of patients with bladder cancer (independent of stage), FGFR3 mutations in 30% of patients with bladder cancer, PIK3CA in 14% and TP53 mutations in 12% of patients with bladder cancer. Overall, these previously reported bladder cancer mutations were detected in 86 out of 122 bladder cancer patients (70% sensitivity) and in only 3 out of 109 patients with no detectable bladder cancer (97% specificity).

Conclusion: This simple, cost-effective approach could be used for the non-invasive surveillance of patients with non-muscle-invasive bladder cancers harbouring these mutations. The method has a low DNA input requirement and can detect low levels of mutant DNA in a large excess of normal DNA. These genes represent a minimal biomarker panel to which extra markers could be added to develop a highly sensitive diagnostic test for bladder cancer.

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Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Frequency of mutant TERT promoter reads in urinary DNA.
The graph shows the percentage of mutant reads in each patient sample considering point mutations at positions chr5:1295228, chr5:1295242/1295243 and chr:1295250.
Fig 2
Fig 2. Confirmation of TERT mutations by Sanger sequencing.
Panel A is a screenshot from IGV showing the proportion of mutant (green) and wt (brown) base calls for three urinary DNAs (surrounding wt sequence in grey). Sanger sequencing of the same three urinary DNAs is shown in panels B: sample 661 (chr5: 1,295,250 G>A), C: sample 857 (5: 1,295,228 G>A), and D: sample 576 (chr5: 1,242 & 243 G>A).
Fig 3
Fig 3. Frequency of mutant FGFR3 reads in urinary DNA.
Individual patients are listed along the x-axis as indicated and the frequency of mutant reads at comic loci is shown for each individual.
Fig 4
Fig 4. Occurrence of cosmic listed point mutations in urinary DNA from UBC patients.
Each column represents an individual patient. Oncoprint representation generated at http://www.cbioportal.org/.

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