ArticleBMC cancer2018
MALBAC-based chromosomal imbalance analysis: a novel technique enabling effective non-invasive diagnosis and monitoring of bladder cancer.
Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 3 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Ultrasensitive Chromosomal Aneuploidy Detection (UCAD) in Urine Exfoliated Cells for Diagnosis of Urothelial Carcinoma in in Urine Exfoliated Cells
A Prospective, Multi-centre, Single-blinded Study of UroCAD for Urothelial Carcinoma Diagnosis and Follow-up
Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Multimodal plasma and urinary cell-free DNA profiling improves risk stratification in newly diagnosed prostate cancer.NPJ precision oncology · 2026Article
- Genomic and immunological profiling reveals novel prognostic biomarkers for limited-stage small cell lung cancer.Discover oncology · 2025Article
- Chromosomal instability of circulating tumor DNA reflect therapeutic responses in advanced gastric cancer.Cell death & disease · 2019Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe gold standard for bladder cancer detection is cystoscopy, which is an invasive procedure that causes discomfort in patients. The currently available non-invasive approaches either show limited sensitivity in low-grade tumours or possess unsatisfying specificity. The aim of the present study is to develop a new non-invasive strategy based on chromosomal imbalance levels to detect bladder cancer effectively.
methodsWe enrolled 74 patients diagnosed with bladder cancer (BC), 51 healthy participants and 27 patients who were diagnosed with non-malignant urinary disease (UD). The Chromosomal Imbalance Analysis (CIA) was conducted in the tumours and urine of participants via the multiple annealing and looping-based amplification cycles-next-generation sequencing (MALBAC-NGS) strategy. The threshold of the CIA was determined with the receiver operating characteristic (ROC) curve. The comparison of the CIA with voided urine cytology was also performed in a subgroup of 55 BC patients. The consistency and discrepancy of the different assays were studied with the Kappa analysis and the McNemar test, respectively. The performance of the urinary CIA was also validated in an additional group of 120 BC patients, 15 UD and 45 healthy participants.
resultsGood concordance (87.0%) in the assessments of patient tumour tissues and urine was observed. The urine-based evaluation also demonstrated a good performance (accuracy = 89.0%, sensitivity = 83.1%, specificity = 94.5%, NPV = 85.4% and PPV = 93.7%; AUC = 0.917, 95%CI =0.868-0.966, P < 0.001) in the training group, particularly in the patients with CIA-positive tumours (accuracy = 92.7%, sensitivity = 89.8%). The sensitivity and specificity in the validation group were 89.2 and 90.0%, respectively. Even in Ta/T1 and low-grade tumour patients, the sensitivity was 85-90%. The CIA also exhibited a significantly improved sensitivity compared to voided urine cytology.
conclusionsThis is the first study employing the concept of whole genome imbalance combined with the MALBAC technique to detect bladder cancer in urine. MALBAC-CIA yielded significant diagnostic power, even in early-stage/low-grade tumour patients, and it may be used as a non-invasive approach for diagnosis and recurrence surveillance in bladder cancer prior to the use of cystoscopy, which would largely reduce the burden on patients.
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Registered trials
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