| Literature DB >> 31921291 |
Rui Batista1,2,3,4, João Vinagre1,2,3,5, Hugo Prazeres1,2,3,6, Cristina Sampaio1,2, Pedro Peralta7, Paulo Conceição7, Amílcar Sismeiro7, Ricardo Leão8,9, Andreia Gomes8, Frederico Furriel9, Carlos Oliveira8, João Nuno Torres8, Pedro Eufrásio9, Paulo Azinhais9, Fábio Almeida10, Edwin Romero Gonzalez11, Bohdan Bidovanets12, Thorsten Ecke13, Pascal Stinjs14, Álvaro Serrano Pascual15, Rabehi Abdelmalek16, Ainara Villafruela17, Pastora Beardo-Villar18, Nuno Fidalgo19, Hakan Öztürk20, Carmen Gonzalez-Enguita21, Juan Monzo21, Tomé Lopes22, Mario Álvarez-Maestro23, Patricia Parra Servan24, Santiago Moreno Perez De La Cruz25, Mario Pual Sanchez Perez26, Valdemar Máximo1,2,4, Paula Soares1,2,3,5.
Abstract
Bladder cancer (BC), the most frequent malignancy of the urinary system, is ranked the sixth most prevalent cancer worldwide. Of all newly diagnosed patients with BC, 70-75% will present disease confined to the mucosa or submucosa, the non-muscle-invasive BC (NMIBC) subtype. Of those, approximately 70% will recur after transurethral resection (TUR). Due to high rate of recurrence, patients are submitted to an intensive follow-up program maintained throughout many years, or even throughout life, resulting in an expensive follow-up, with cystoscopy being the most cost-effective procedure for NMIBC screening. Currently, the gold standard procedure for detection and follow-up of NMIBC is based on the association of cystoscopy and urine cytology. As cystoscopy is a very invasive approach, over the years, many different noninvasive assays (both based in serum and urine samples) have been developed in order to search genetic and protein alterations related to the development, progression, and recurrence of BC. TERT promoter mutations and FGFR3 hotspot mutations are the most frequent somatic alterations in BC and constitute the most reliable biomarkers for BC. Based on these, we developed an ultra-sensitive, urine-based assay called Uromonitor®, capable of detecting trace amounts of TERT promoter (c.1-124C > T and c.1-146C > T) and FGFR3 (p.R248C and p.S249C) hotspot mutations, in tumor cells exfoliated to urine samples. Cells present in urine were concentrated by the filtration of urine through filters where tumor cells are trapped and stored until analysis, presenting long-term stability. Detection of the alterations was achieved through a custom-made, robust, and highly sensitive multiplex competitive allele-specific discrimination PCR allowing clear interpretation of results. In this study, we validate a test for NMIBC recurrence detection, using for technical validation a total of 331 urine samples and 41 formalin-fixed paraffin-embedded tissues of the primary tumor and recurrence lesions from a large cluster of urology centers. In the clinical validation, we used 185 samples to assess sensitivity/specificity in the detection of NMIBC recurrence vs. cystoscopy/cytology and in a smaller cohort its potential as a primary diagnostic tool for NMIBC. Our results show this test to be highly sensitive (73.5%) and specific (93.2%) in detecting recurrence of BC in patients under surveillance of NMIBC.Entities:
Keywords: FGFR3 mutation; TERT promoter mutation; Uromonitor®; non-muscle invasive bladder cancer; urinary test
Year: 2019 PMID: 31921291 PMCID: PMC6930177 DOI: 10.3389/fgene.2019.01237
Source DB: PubMed Journal: Front Genet ISSN: 1664-8021 Impact factor: 4.599
Clinical validation cases information and clinicopathological data.
| Characteristics | Total cases ( | |
|---|---|---|
| Age (years) | ||
| Median age (range) | 71 (25–91) | |
| Age cluster, | ||
| 20–39 | 9 (4.9) | |
| 40–59 | 39 (21.3) | |
| 60–79 | 102 (55.7) | |
| 80+ | 33 (18.0) | |
| Gender, | ||
| Female | 41 (23.2) | |
| Male | 136 (76.8) | |
| Smoking status, | ||
| Yes/Former | 45 (39.5) | |
| No | 69 (60.5) | |
| Disease status, | ||
| Primary | 122 (65.9) | |
| Recurrence | 63 (34.1) | |
| Stage, | ||
| Cis/Tis | 5 (9.8) | |
| Ta | 32 (62.7) | |
| T1 | 12 (23.5) | |
| T2 | 1 (2) | |
| Hep.Met | 1 (2) | |
| Grade, | ||
| Low grade | 25 (51) | |
| High grade | 24 (49) | |
| Urine cytology, | ||
| Positive/atypical cytology | 12 (14.3) | |
| Negative cytology | 72 (85.7) | |
| Cystoscopy, | ||
| Positive | 65 (35.2) | |
| Negative | 120 (64.8) |
Cohorts used in this study.
| Cohort name | Cohort designation | No. of samples |
|---|---|---|
|
| Urine samples from patients under follow-up for NMIBC | 122 |
|
| Urine samples from patients screened for bladder cancer | 63 |
|
| FFPE samples from primary tumors and recurrence from patients under follow-up for NMIBC | 41 |
|
| Urine samples from patients under follow-up for NMIBC screened for both Uromonitor® and | 24 |
|
| Urine samples from patients screened for bladder cancer for both Uromonitor® and | 25 |
Figure 1Urine testing workflow. In patients under surveillance for non-muscle-invasive bladder cancer (NMIBC), a minimum of 10 ml of urine is collected before cystoscopy. This 10 ml of urine is then filtered through a 0.8-µm filter and stored at 4°C. DNA extraction and Uromonitor® test are then performed. If a positive result is obtained, confirmatory cystoscopy and transurethral resection of eventual recurrences are recommended. If a negative result is obtained, it is recommended that the test should be repeated on next follow-up appointment.
Figure 2Technical principles of the test. (A) Real-time qualitative method optimized for TERTp c.1-124C > T detection. Two competitive fluorescent probes targeting normal (WT- c.1-124C) and mutated (Mut- c.1-124C > T) alleles incorporating Locked Nucleic Acid bases are used to detect the mutations. (B) Real-time qualitative method optimized for TERTp c.1-146C > T detection. Two competitive fluorescent probes targeting normal (WT- c.1-146C) and mutated (Mut c.1-146C > T) alleles incorporating Locked Nucleic Acid bases are used to detect the mutations. (C) Real-time qualitative method optimized for FGFR3 c.742C > G detection. A mutation allele-specific primer, a phosphorylated wild-type allele blocker that completely suppresses the amplification of the wild-type allele, a locus reverse primer, and a fluorescent probe for real-time detection of the generated amplicon are used. (D) Real-time qualitative method optimized for FGFR3 c.746C > T detection. A mutation allele-specific primer, a phosphorylated wild-type allele blocker that completely suppresses the amplification of the wild-type allele, a locus reverse primer, and a fluorescent probe for real-time detection of the generated amplicon are used.
Figure 3(A) Serial dilution detection of TERTp c.1-124C > T. TERTp c.1-124C > T mutated DNA with 50% (wild-type) WT/mutation ratio was diluted in a twofold dilution (eight dilutions) in WT DNA. Detection limit was fixed at the presence of 6.25% of TERTp c.1-124C > T alteration in the total DNA in a reaction with 25 ng of total DNA. Below this limit, mutation detection is not guaranteed. (B) Serial dilution detection of TERTp c.-146C > T. TERTp c.1-146C > T mutated DNA with 50% WT/mutation ratio was diluted in a twofold dilution (eight dilutions) in WT DNA. Detection limit was fixed at the presence of 6.25% of TERTp c.1-146C > T alteration in the total DNA in a reaction with 25 ng of total DNA. Below this limit, mutation detection is not guaranteed.
Figure 4Performance of different screening methods in non-muscle-invasive bladder cancer (NMIBC) follow-up recurrence detection and in NMIBC diagnosis.
Performance of different screening methods in non-muscle-invasive bladder cancer (NMIBC) follow-up recurrence detection and in NMIBC initial diagnosis.
| UROMONITOR | CYSTOSCOPY | Cytology | Cystoscopy + cytology | UROMONITOR + cystoscopy | UROMONITOR + | |
|---|---|---|---|---|---|---|
|
| ||||||
|
| 50.0 | 79.4 | 42.9 | 86.7 | 100.0 | 100 |
|
| 100.0 | 93.2 | 93.9 | 87.9 | 86.4 | 83.3 |
|
| 77.8 | 89.3 | 78.7 | 87.5 | 90.2 | 87.5 |
|
| 100.0 | 81.8 | 75.0 | 76.5 | 73.9 | 66.7 |
|
| 71.4 | 92.1 | 79.5 | 93.5 | 100.0 | 100 |
|
| ||||||
|
| 50.0 | 100.0 | 0.0 | 100.0 | 100.0 | 93.3 |
|
| 100.0 | 88.6 | 86.7 | 86.7 | 88.6 | 80.0 |
|
| 77.8 | 93.7 | 70.3 | 89.2 | 93.7 | 88.0 |
|
| 100.0 | 87.5 | 0.0 | 63.6 | 87.5 | 87.5 |
|
| 71.4 | 100.0 | 78.8 | 100.0 | 100.0 | 88.9 |
Figure 5Mutation distribution across follow-up cohort (A) and initial-diagnosis cohort (B).
Figure 6Cohort’s tumor stage distribution and Uromonitor performance in recurrence detection across tumor stages.
Figure 7Cohort’s tumor grade and uromonitor performance in recurrence detection across tumor grades.