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1.
Diagnostics (Basel) ; 14(20)2024 Oct 16.
Artigo em Inglês | MEDLINE | ID: mdl-39451616

RESUMO

Background/Objectives: Currently, the prediction of disease recurrence after radical prostatectomy (RP) in localized prostate cancer (PCa) relies on clinicopathological parameters, which lack accuracy in predicting clinical outcomes. This study focused on evaluating the utility of cfDNA levels and fragmentation patterns as prognostic biomarkers in progressive prostate-specific antigen (PSA) patients, including those with persistent PSA and biochemical recurrence (BR), after primary treatment in localized PCa patients. Methods: Twenty-nine high-risk localized PCa patients were enrolled in the study between February 2022 and May 2023. Blood samples were obtained before robotic RP. cfDNA concentration and fragment size were quantified using the Quant-it PicoGreen dsDNA Assay kit and Agilent 2200 TapeStation System, respectively. Results: The mean PSA value at diagnosis was 9.4 ng/mL. Seven patients (24.1%) had stage pT2 and 22 (75.9%) pT3. Nine patients (31%) had detectable PSA at the first PSA control six weeks after surgery, and four patients (20%) had BR during a mean follow-up of 18.4 months. No associations were found between cfDNA levels or fragmentation patterns and clinicopathological data. Although not statistically significant, patients with detectable PSA levels post-surgery exhibited higher cfDNA levels and shorter fragments compared with those with undetectable PSA. Conclusions: Our study indicated a tendency toward more fragmented cfDNA levels in PCa patients with persistent PSA. Strikingly, biochemical recurrent PCa patients exhibited similar cfDNA levels and fragmentation patterns compared to non-recurrent patients. Further studies exploring liquid biopsy-derived biomarkers in localized PCa patients are needed to elucidate their clinical utility in predicting PSA persistence.

2.
Radiol Case Rep ; 19(12): 5942-5947, 2024 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-39328947

RESUMO

Matrix lithiasis within the bladder is an extremely rare and diagnostically challenging condition, characterized by its atypical presentation and complex imaging appearance. We report the case of a 69-year-old woman with nonspecific urinary symptoms, including hematuria and abdominal pain. Initial ultrasonography revealed an echogenic lesion on the bladder wall, leading to further investigations using computed tomography (CT) and magnetic resonance imaging (MRI). CT imaging initially delineated the lesion's structure, revealing a complex, multilayered cystic mass. Subsequent MRI provided detailed insights into the internal architecture of the mass, further elucidating its layered structure. Although a parasitic etiology was initially suspected, matrix lithiasis was later confirmed. This case highlights the critical role of a comprehensive imaging strategy in diagnosing rare urological conditions and emphasizes the importance of multimodal imaging in differentiating potential diagnoses.

3.
Int J Mol Sci ; 25(7)2024 Mar 26.
Artigo em Inglês | MEDLINE | ID: mdl-38612507

RESUMO

Currently, there are no reliable prognostic factors to determine which upper tract urothelial carcinoma (UTUC) patients will progress after radical nephroureterectomy (RNU). We aim to evaluate whether liquid-biopsy-based biomarkers (circulating tumor cells (CTCs), cell-free DNA (cfDNA), and circulating tumor DNA (ctDNA)) were able to predict clinical outcomes in localized UTUC patients undergoing RNU. Twenty patients were prospectively enrolled between 2021 and 2023. Two blood samples were collected before RNU and three months later. CTCs and cfDNA were isolated and evaluated using the IsoFlux system and Quant-iT PicoGreen dsDNA kit, respectively. Droplet digital PCR was performed to determine ctDNA status. Cox regression analysis was performed on CTCs, cfDNA, and ctDNA at two different follow-up time points to examine their influence on tumor progression and cancer-specific survival (CSS). During a median follow-up of 18 months, seven (35%) patients progressed and three (15%) died. Multivariate analysis demonstrated that cfDNA levels three months after RNU are a significant predictor of tumor progression (HR = 1.085; p = 0.006) and CSS (HR = 1.168; p = 0.029). No associations were found between CTC enumeration and ctDNA status with any of the clinical outcomes evaluated. The evaluation of cfDNA levels in clinical practice could improve the disease management of UTUC patients.


Assuntos
Carcinoma de Células de Transição , Ácidos Nucleicos Livres , Neoplasias da Bexiga Urinária , Humanos , Carcinoma de Células de Transição/diagnóstico , Carcinoma de Células de Transição/genética , Prognóstico , Biomarcadores , Biópsia Líquida
4.
Diagnostics (Basel) ; 13(5)2023 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-36900130

RESUMO

(1) Background: The diagnosis of moderate-severe lower urinary tract symptoms (LUTS) is not easy due to the complexity of the micturition act. Sequential diagnostic tests can be time consuming due to waiting lists. Thus, we developed a diagnostic model combining all the tests in a single one-stop consultation. (2) Methods: In a prospective pilot study in patients with complex LUTS, they received all diagnostic tests (ultrasound, uroflowmetry, cystoscopy, pressure-flow study) in a single consultation and by the same doctor. Patients' results were compared with those from a 2021 paired cohort that underwent the classical sequential diagnostic pathway. (3) Results: Per patient, the high-efficiency consultation saved: 175 days of waiting, 60 min doctor time and 120 nursing assistant time and over 300 euros on average. The intervention also saved 120 patient journeys to the hospital, lowering the total carbon footprint by 145.86 kg CO2. In one-third of the patients, performing all the tests within the same consultation contributed to reaching a more appropriate diagnosis and thus more effective treatment. Patients' satisfaction was high, with good tolerability. (4) Conclusions: The high-efficiency urology consultation improves waiting times, therapeutic decisions and the degree of patient satisfaction while optimizing the use of resources and generating savings for the health system.

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