Properties of non-coding mutation hotspots as urinary biomarkers for bladder cancer detection.

Mutations at specific hotspots in non-coding regions of ADGRG6, PLEKHS1, WDR74, TBC1D12 and LEPROTL1 frequently occur in bladder cancer (BC). These mutations could function as biomarkers for the non-invasive detection of BC but this remains largely unexplored. Massively-parallel sequencing of non-coding hotspots was applied to 884 urine cell pellet DNAs: 591 from haematuria clinic patients (165 BCs, 426 non-BCs) and 293 from non-muscle invasive BC surveillance patients (29 with recurrence). Urine samples from 142 non-BC haematuria clinic patients were used to optimise variant calling. Non-coding mutations are readily detectable in the urine of BC patients and undetectable, or present at much lower frequencies, in the absence of BC. The mutations can be used to detect incident BC with 66% sensitivity (95% CI 58-75) at 92% specificity (95% CI 88-95) and recurrent disease with 55% sensitivity (95% CI 36-74) at 85% specificity (95% CI 80-89%) using a 2% variant allele frequency threshold. In the NMIBC surveillance setting, the detection of non-coding mutations in urine in the absence of clinically detectable disease was associated with an increased relative risk of future recurrence (RR = 4.62 (95% CI 3.75-5.48)). As urinary biomarkers, non-coding hotspot mutations behave similarly to driver mutations in BC-associated genes and could be included in biomarker panels for BC detection.

How does altering the resolution of chromosomal microarray analysis in the prenatal setting affect the rates of pathological and uncertain findings?

OBJECTIVE: Chromosomal Microarray Analysis (CMA) has a higher detection rate of pathogenic chromosome abnormalities over conventional (G-band) karyotyping. The optimum resolution of CMA in the prenatal setting remains debatable. Our objective was to determine if an increased detection rate was obtained by performing differing resolution of CMA on the same fetal samples and whether this resulted in an increase in variants of uncertain clinical significance (VOUS). METHODS: Sixty-two fetal cases initially underwent a 1 Mb targeted BAC microarray within a clinical diagnostic setting in addition to conventional karyotyping. At the conclusion of pregnancy, a higher resolution 60 K oligonucleotide microarray was performed. RESULTS: The 1 Mb BAC analysis demonstrated a detection rate of pathogenic copy number variations (CNVs) in 4.1% (95% CI 2.1-7.6) of cases and a variation of unknown significance (VOUS) rate of 0.4% (95% CI 0.07-2.2) over conventional G-band karyotyping. The 60 K array had an additional pathogenic detection rate of 4.8% (95% CI 1.6-13.3) over the BAC array but also detected an additional 8% (95% CI 1.3-14.8) VOUS. CONCLUSION: As the CMA platform resolution increases detection rates increase but are associated with an increase in VOUS rates. Our findings support the need for further large scale studies to inform the national consensus on the resolution required and on reporting of VOUS in the antenatal setting.