Non-Invasive Biomarkers in the Diagnosis of Upper Urinary Tract Urothelial Carcinoma-A Systematic Review

Development and validation of an artificial intelligence-based model for detecting urothelial carcinoma using urine cytology images: a multicentre, diagnostic study with prospective validation

Background

Urine cytology is an important non-invasive examination for urothelial carcinoma (UC) diagnosis and follow-up. We aimed to explore whether artificial intelligence (AI) can enhance the sensitivity of urine cytology and help avoid unnecessary endoscopy.

Methods

In this multicentre diagnostic study, consecutive patients who underwent liquid-based urine cytology examinations at four hospitals in China were included for model development and validation. Patients who declined surgery and lacked associated histopathology results, those diagnosed with rare subtype tumours of the urinary tract, or had low-quality images were excluded from the study. All liquid-based cytology slides were scanned into whole-slide images (WSIs) at 40 × magnification and the WSI-labels were derived from the corresponding histopathology results. The Precision Urine Cytology AI Solution (PUCAS) was composed of three distinct stages (patch extraction, features extraction, and classification diagnosis) and was trained to identify important WSI features associated with UC diagnosis. The diagnostic sensitivity was mainly used to validate the performance of PUCAS in retrospective and prospective validation cohorts. This study is registered with the ChiCTR, ChiCTR2300073192.

Findings

Between January 1, 2018 and October 31, 2022, 2641 patients were retrospectively recruited in the training cohort, and 2335 in retrospective validation cohorts; 400 eligible patients were enrolled in the prospective validation cohort between July 7, 2023 and September 15, 2023. The sensitivity of PUCAS ranged from 0.922 (95% CI: 0.811-0.978) to 1.000 (0.782-1.000) in retrospective validation cohorts, and was 0.896 (0.837-0.939) in prospective validation cohort. The PUCAS model also exhibited a good performance in detecting malignancy within atypical urothelial cells cases, with a sensitivity of over 0.84. In the recurrence detection scenario, PUCAS could reduce 57.5% of endoscopy use with a negative predictive value of 96.4%.

Interpretation

PUCAS may help to improve the sensitivity of urine cytology, reduce misdiagnoses of UC, avoid unnecessary endoscopy, and reduce the clinical burden in resource-limited areas. The further validation in other countries is needed.

Funding

National Natural Science Foundation of China; Key Program of the National Natural Science Foundation of China; the National Science Foundation for Distinguished Young Scholars; the Science and Technology Planning Project of Guangdong Province; the National Key Research and Development Programme of China; Guangdong Provincial Clinical Research Centre for Urological Diseases.

Potential molecular biomarkers for the diagnosis and prognosis of bladder cancer

Bladder cancer (BC) is a common malignant tumor of urinary system, which can be divided into muscle-invasive BC (MIBC) and nonmuscle-invasive BC (NMIBC). The number of BC patients has been gradually increasing currently. At present, bladder tumours are diagnosed and followed-up using a combination of cystoscopic examination, cytology and histology. However, the detection of early grade tumors, which is much easier to treat effectively than advanced stage disease, is still insufficient. It frequently recurs and can progress when not expeditiously diagnosed and monitored following initial therapy for NMIBC. Treatment strategies are totally different for different stage diseases. Therefore, it is of great practical significance to study new biomarkers for diagnosis and prognosis. In this review, we summarize the current state of biomarker development in BC diagnosis and prognosis prediction. We retrospectively analyse eight diagnostic biomarkers and eight prognostic biomarkers, in which CK, P53, PPARγ, PTEN and ncRNA are emphasized for discussion. Eight molecular subtype systems are also identified. Clinical translation of biomarkers for diagnosis, prognosis, monitoring and treatment will hopefully improve outcomes for patients. These potential biomarkers provide an opportunity to diagnose tumors earlier and with greater accuracy, and help identify those patients most at risk of disease recurrence.

Large-scale Prospective Validation Study of a Multiplex RNA Urine Test for Noninvasive Detection of Upper Tract Urothelial Carcinoma

BACKGROUND

Current approaches for diagnosis and monitoring of upper tract urothelial carcinoma (UTUC) are often invasive, costly, and not efficient for early-stage and low-grade tumors.

OBJECTIVE

To validate a noninvasive urine-based RNA test for accurate UTUC diagnosis.

DESIGN, SETTING, AND PARTICIPANTS

Urine samples were prospectively collected from 61 patients with UTUC and 99 controls without urothelial carcinomas, in five clinical centers between October 2022 and August 2023 prior to any invasive test (cystoscope or ureteroscope) or treatment. All samples were analyzed with a urine-based RNA test composed of eight genes (CA9, CCL18, ERBB2, IGF2, MMP12, PPP1R14D, SGK2, and SWINGN). The test results were presented with a risk score for each participant, which was applied to categorize patients into low- or high-risk groups.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

The diagnosis of UTUC was based mainly on preoperative radiological examination criteria and confirmed by postoperative pathological results. The recursive feature elimination and support vector machine algorithms, χ2, and Student t test were used.

RESULTS AND LIMITATIONS

The eight-gene urine test accurately detected UTUC patients and controls with an area under the curve (AUC) of 0.901 in a single-center testing cohort (n = 93) and an AUC of 0.926 in a multicenter clinical validation cohort (n = 66). In the merged validation cohort, the eight-gene urine test achieved high sensitivity of 90.16%, specificity of 88.89%, and overall accuracy of 89.38%. Remarkably, excellent performance was achieved in 11 low-grade UTUC patients with accuracy of 100%. However, this study collected the urine of UTUC patients only at a single preoperative time point and did not perform continuous tests during the pathological process of UTUC in the surveillance population.

CONCLUSIONS

Our results demonstrated that the eight-gene urine test can differentiate accurately between UTUC and other urological diseases with high sensitivity and specificity. In clinical practice, it may be used for identifying UTUC patients effectively, leading to reduced reliance on ureteroscopy and blind surgery.

PATIENT SUMMARY

In this study, we investigated a multiplex RNA urine test for noninvasive upper tract urothelial carcinoma (UTUC) diagnosis before treatment. We found that the risk scores derived from the multiplex RNA urine test differed significantly between UTUC patients and corresponding controls.

Increased Apolipoprotein A1 Expression Correlates with Tumor-Associated Neutrophils and T Lymphocytes in Upper Tract Urothelial Carcinoma

An increased neutrophil-to-lymphocyte ratio (NLR) is a poor prognostic biomarker in various types of cancer, because it reflects the inhibition of lymphocytes in the circulation and tumors. In urologic cancers, upper tract urothelial carcinoma (UTUC) is known for its aggressive features and lack of T cell infiltration; however, the association between neutrophils and suppressed T lymphocytes in UTUC is largely unknown. In this study, we examined the relationship between UTUC-derived factors and tumor-associated neutrophils or T lymphocytes. The culture supernatant from UTUC tumor tissue modulated neutrophils to inhibit T cell proliferation. Among the dominant factors secreted by UTUC tumor tissue, apolipoprotein A1 (Apo-A1) exhibited a positive correlation with NLR. Moreover, tumor-infiltrating neutrophils were inversely correlated with tumor-infiltrating T cells. Elevated Apo-A1 levels in UTUC were also inversely associated with the population of tumor-infiltrating T cells. Our findings indicate that elevated Apo-A1 expression in UTUC correlates with tumor-associated neutrophils and T cells. This suggests a potential immunomodulatory effect on neutrophils and T cells within the tumor microenvironment, which may represent therapeutic targets for UTUC treatment.

Feasibility and tissue concordance of genomic sequencing of urinary cytology in upper tract urothelial carcinoma

BACKGROUND

There is limited ability to accurately diagnose and clinically stage patients with upper tract urothelial carcinoma (UTUC). The most easily available and widely used urinary biomarker is urine cytology, which evaluates cellular material yet lacks sensitivity. We sought to assess the feasibility of performing next-generation sequencing (NGS) on urine cytology specimens from patients with UTUC and evaluate the genomic concordance with tissue from primary tumor.

METHODS

In this retrospective study, we identified 48 patients with a diagnosis of UTUC treated at Memorial Sloan Kettering Cancer Center (MSK) between 2019 and 2022 who had banked or fresh urine samples. A convenience cohort of matching, previously sequenced tumor tissue was used when available. Urine specimens were processed and the residual material, including precipitated cell-free DNA, was sequenced using our tumor-naïve, targeted exome sequencing platform that evaluates 505 cancer-related genes (MSK-IMPACT). The primary outcome was at least 1 detectable mutation in urinary cytology specimens. The secondary outcome was concordance to matched tissue (using ANOVA or Chi-Square, as indicated).

RESULTS

Genomic sequencing was successful for 45 (94%) of the 48 urinary cytology patient samples. The most common mutations identified were TERT (62.2%), KMT2D (46.7%), and FGFR3 (35.6%). All patients with negative urine cytology and low-grade tissue had successful cytology sequencing. Thirty-six of the 45 patients had matching tumor tissue available; concordance to matched tissue was 55% overall (131 of the total 238 oncogenic or likely oncogenic somatic mutations identified). However, in 94.4% (n = 34/36) of patients, the cytology had at least 1 shared mutation with tissue. Eleven (30.6%) patients had 100% concordance between cytology and tissue.

CONCLUSIONS

Sequencing urinary specimens from selective UTUC cytology is feasible in nearly all patients with UTUC. Prospective studies are underway to investigate a clinical role for this promising technology.

Advances in chemoablation in upper tract urothelial carcinoma: overview of indications and treatment patterns

Localized upper tract urothelial carcinoma (UTUC) is a difficult disease for clinicians to treat, due to the multitude of oncological and patient factors to consider. Despite the challenges of diagnostic staging, endoscopic management, and disease recurrence, there is still a need for local therapeutic options that do not subject patients to the morbidities of radical nephroureterectomy (RNU). Intraluminal chemotherapies have allowed for improved oncological control in patients with low-grade disease receiving renal-sparing treatment approaches. This narrative review discusses the treatment modalities available for localized low-grade UTUC, with a focus on the current status of chemoablation. The OLYMPUS trial was a pivotal study that lead to the Food and Drug Administration (FDA) approval of UGN-101 (mitomycin-C) in April 2020 for the treatment of low-grade UTUC, and intraluminal chemotherapy is now a widely used modality for managing this disease. The trial reported a complete response (CR) rate of 59%, and an estimated treatment durability of 82% at 1 year. However, a concern was the reported 44% ureteral stricture rate using the retrograde approach. More research is currently underway to determine the ideal instillation method for intraluminal therapies (e.g., retrograde vs. antegrade). Lastly, we discuss upcoming treatment options. Newer novel agents like padeliporfin vascular targeted photodynamic (VTP) therapy (brand name TOOKAD) are currently being studied, which will in hope provide additional treatment options for UTUC patients.

Current methods facilitating diagnosis of upper tract urothelial carcinoma: a comprehensive literature review

PURPOSE OF REVIEW

Currently, kidney-sparing surgeries are considered the preferred approach in low-risk tumours and in selected high-risk patients. Therefore, accurate diagnosis of UTUC is crucial for further management. The purpose of this review is to summarize available methods facilitating the diagnosis of upper tract urothelial carcinoma (UTUC).

RECENT FINDINGS

Recent articles propose numerous techniques of UTUC diagnosis. In this review, imaging, as well as, urine-based and endoscopic methods have been described and assessed.

SUMMARY

Regarding imaging, computed tomography urography remains a gold standard, while PET is superior in search for small lesions and nodal metastases. However, contrast-enhanced ultrasonography also shows promise. On the contrary, available urine tests, such as urinary cytology, fluorescent in-situ hybridization, Xpert, DNA methylation analysis, urine-based liquid biopsy, p16/Ki-67 dual immunolabelling, ImmunoCyt and NMP22 are either poorly researched, or not accurate enough to use solely. Finally, during ureterorenoscopy, photodynamic diagnosis and narrow-band imaging can facilitate proper visualization of the tumor. Endoluminal ultrasonography and confocal laser endomicroscopy can potentially improve staging and grading of UTUC. Also, the 'form tackle' biopsy should be performed using a basket in papillary lesions and cold-cup biopsy of flat or sessile lesions. Even though cryobiopsy shows promise in UTUC diagnosis, in-vivo studies are necessary before it is introduced into clinical practice.

Clinical Characteristics and Current Status of Treatment for Recurrent Bladder Cancer after Surgeries on Upper Tract Urothelial Carcinoma

Upper tract urothelial carcinoma (UTUC) is a relatively rare, but highly malignant, disease with an estimated annual incidence of 2 cases per 100,000 people. The main surgical treatment modalities for UTUC are radical nephroureterectomy (RNU) with bladder cuff resection. After surgery, intravesical recurrence (IVR) can occur in up to 47% of patients, and 75% of them present with non-muscle invasive bladder cancer (NMIBC). However, there are few studies focused on the diagnosis and treatment of postoperatively recurrent bladder cancer for patients with previous UTUC history (UTUC-BC), and many of the influencing factors are still controversial. In this article, we performed a narrative review of the recent literature, mainly summarizing the factors influencing postoperative IVR in patients with UTUC and discussing the subsequent prevention, monitoring, and treatment tools for it.

Diagnostic performance of fluorescence in situ hybridization (FISH) in upper tract urothelial carcinoma (UTUC): a systematic review and meta-analysis

BACKGROUND

Fluorescence in situ hybridization (FISH) is a technique that uses fluorescently labeled DNA probes. Many studies have evaluated the ROC curve (sensitivity and specificity) with the FISH method to diagnose upper tract urothelial carcinoma (UTUC). The current meta-analysis was performed to examine the diagnostic power of the FISH method in UTUC.

METHODS

We reviewed databases and methodically obtained papers for analysis until April 25th, 2022. The Meta-disc V.1.4 and Comprehensive Meta-Analysis V.3.3 software calculated the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, area under the curve (AUC), and summary receiver-operating characteristic (SROC). The I² and Chi-square tests were used to examine the heterogeneity. Finally, the publication bias was estimated using Begg's and Egger's tests.

RESULTS

A total of 13 articles included 1,067 participants (439 cases and 628 controls). The overall pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.72 (95% CI 0.67-0.76), 0.95 (95% CI 0.93-0.97), 10.42 (95% CI 5.84-18.60), 0.29 (95% CI 0.21-0.40), 38.55 (95% CI 18.58-79.96), and 0.91, respectively. No publication bias was reported based on Begg's and Egger's tests (Begg's p = 0.200; Egger's p = 0.151).

CONCLUSION

This paper clearly shows that the high specificity and acceptable sensitivity of the FISH method make it a promising diagnostic method for UTUC in urine samples. However, further research with higher statistical numbers is needed to strengthen the correlation and be used for diagnostic applications.