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

A novel transformer-based aggregation model for predicting gene mutations in lung adenocarcinoma

In recent years, predicting gene mutations on whole slide imaging (WSI) has gained prominence. The primary challenge is extracting global information and achieving unbiased semantic aggregation. To address this challenge, we propose a novel Transformer-based aggregation model, employing a self-learning weight aggregation mechanism to mitigate semantic bias caused by the abundance of features in WSI. Additionally, we adopt a random patch training method, which enhances model learning richness by randomly extracting feature vectors from WSI, thus addressing the issue of limited data. To demonstrate the model's effectiveness in predicting gene mutations, we leverage the lung adenocarcinoma dataset from Shandong Provincial Hospital for prior knowledge learning. Subsequently, we assess TP53, CSMD3, LRP1B, and TTN gene mutations using lung adenocarcinoma tissue pathology images and clinical data from The Cancer Genome Atlas (TCGA). The results indicate a notable increase in the AUC (Area Under the ROC Curve) value, averaging 4%, attesting to the model's performance improvement. Our research offers an efficient model to explore the correlation between pathological image features and molecular characteristics in lung adenocarcinoma patients. This model introduces a novel approach to clinical genetic testing, expected to enhance the efficiency of identifying molecular features and genetic testing in lung adenocarcinoma patients, ultimately providing more accurate and reliable results for related studies.

Prospective evaluation of the RT-PCR based urinary marker Bladder Epicheck® as a diagnostic tool in upper urinary tract tumor

BACKGROUND

Upper-tract-urothelial-carcinoma (UTUC) represents 5-10% of all urothelial-neoplasms with increasing incidence in the last decades. Current standard tools for diagnosis of UTUC include cytology, computed tomography (CT) urography and ureterorenoscopy (URS). The aim of this study was to evaluate the impact of Bladder Epicheck® Test as diagnostic tool for UTUC diagnosis and recurrence.

METHODS

Overall, 136 urine samples, selective collected from upper-urinary-tract before URS for suspicion of UTUC were analyzed with cytology and Bladder Epicheck® Test. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of both markers were calculated and compared to URS and/or histology as reference.

RESULTS

UTUC was detected in 40 cases (33.3%), among them 30 were classified as low-grade (LG) and 10 as high-grade (HG). Overall sensitivity of Bladder Epicheck® for UTUC detection was 65% compared to 42.5% for cytology, increasing to 100% for Bladder Epicheck® and 90% for cytology if considering only HG tumors. Overall specificity of Bladder Epicheck® was 81.2% and of cytology 93.7%. PPV and NPV were 63.4% and 82.2% for Bladder Epicheck® and 77.2% and 76.5% for cytology. Considering an EpiScore cut-off >75, instead of 60, specificity of Bladder Epicheck® improves to 89% and PPV to 74.2%. Limitations include the use of a marker validated only for bladder-cancer and the relatively small number of cases.

CONCLUSIONS

Due to its high sensitivity for HG tumors, the Bladder Epicheck® Test can be used in diagnosis and treatment decision-making of UTUC. Furthermore, it could be very useful in follow-up of UTUC, after endoscopic treatment to postpone or avoid unnecessary endoscopic exploration. Even if further studies are needed to validate these findings, Bladder Epicheck® could be a promising clinical tool for detection of UTUC.

Do Urine Cytology and FISH Analysis Have a Role in the Follow-Up Protocol of Upper Tract Urothelial Carcinoma?

BACKGROUND

Current guidelines recommend a stringent follow-up regimen that includes interval cystoureteronephscopy, CT urography, and selective urine cytology sampling for upper tract urothelial carcinoma (UTUC) patients undergoing endoscopic treatment and management. There are no recommendations regarding FISH analysis. Our purpose was to assess the efficacy of cytology and FISH as part of the follow-up protocol and its significance to clinical decision-making in this scenario.

METHODS

The medical records of all patients who managed endoscopically for UTUC at our institute between 2014 and 2022 were retrospectively analyzed. Demographic and clinical data, histology, cytology, and FISH results were collected. FISH analysis was considered malignant according to Paris criteria.

RESULTS

During the study period, 62 patients underwent 561 ureteroscopies as part of the treatment and follow-up regimen of low-grade UTUC. Urine from the affected upper tract was sampled for cytology in 377 procedures, and FISH analyses were performed in 273. In 75.4% of FISH analyses, the result was different from the cytology results: FISH found malignant aberrations in 15.5% of cases where cytology was benign. Furthermore, FISH classified all the cells defined as atypical via cytology as either benign or malignant. In only one case (0.17%), the urinary cytology report changed the follow-up regimen.

CONCLUSION

Cytology may be omitted from the follow-up protocol of low-grade UTUC. In the handful of cases cytology does assist the diagnosis of UTUC, there is an additional benefit to performing FISH analysis, particularly when cellular atypia is reported in the cytology results.

Evaluation of the diagnostic efficiency of voided urine fluorescence in situ hybridization for predicting the pathology of preoperative "low-risk" upper tract urothelial carcinoma

Objectives

To evaluate the clinical utility of voided urine fluorescence in situ hybridization (FISH) for predicting the pathology of preoperative "low-risk" upper tract urothelial carcinoma (UTUC).

Methods

Information of patients preoperatively diagnosed with "low-risk" UTUC receiving radical nephroureterectomy (RNU) between May 2014 and October 2019 were retrospectively collected. All of the patients accepted the FISH test and then were divided into two groups according to the results of FISH. The diagnostic value of FISH was assessed through the receiver operating characteristics (ROC) curve and area under the curve. Logistic regression analysis was applied to examine FISH as a predictive factor of tumor final stage and grade of preoperative "low-risk" UTUC.

Results

In total, 129 patients were included. Of them, 70 (54.2%) were marked with positive FISH result. The difference at final pathology in tumor stage and tumor grade between these two groups of FISH (-) and FISH (+) had significantly statistical significance (p<0.001). Regarding to the tumor stage at final pathology, the sensitivity, specificity, positive predictive value and negative predictive value of FISH were 70.7 (58.9-80.3)68.5 (54.3-80.1)75.7 (63.7-84.8) and 62.7 (49.1-74.7), respectively. Regarding to the tumor grade at final pathology, the sensitivity, specificity, positive predictive value and negative predictive value of FISH were 64.7 (53.5-74.6), 65.9 (50.0-79.1), 78.6 (66.8-87.1) and 49.1 (36.5-62.3), respectively. The results of logistic regression analysis indicated that FISH could predict the pathologic characteristics of preoperative "low-risk" UTUC independently.

Conclusions

FISH was qualified with relatively high diagnostic estimates for predicting tumor stage and grade of preoperative "low-risk" UTUC, and could be an independent predictive factor in clinical practice. For preoperative "low-risk" UTUC patients but with positive FISH result, choosing nephron-sparing surgery may require special caution.

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.

Diagnostic value of Xpert® BC Detection, Bladder Epicheck®, Urovysion® FISH and cytology in the detection of upper urinary tract urothelial carcinoma

PURPOSE

Following the current guidelines, diagnosis and staging for upper urinary tract tumours (UTUC) can be performed with Computed Tomography, urography, ureterorenoscopy (URS) and selective cytology. The aim of the study was to evaluate the performance of the Xpert®-BC-Detection and the Bladder-Epicheck®-test in the detection of UTUC and compare it with cytology and the Urovysion®-FISH test using histology and URS as gold standard.

METHODS

A total of 97 analyses were collected through selective catheterization of the ureter before URS to test for cytology, Xpert®-BC-Detection, Bladder-Epicheck® and Urovysion®-FISH. Sensitivity, specificity, and predictive values were calculated using histology results/URS as reference.

RESULTS

Overall sensitivity was 100% for Xpert®-BC-Detection, 41.9% for cytology, 64.5% for Bladder-Epicheck® and 87.1% for Urovysion®-FISH. The sensitivity of Xpert®-BC-Detection was 100% in both, LG and HG tumours, sensitivity of cytology increased from 30.8% in LG to 100% in HG, for Bladder-Epicheck® from 57.7% in LG to 100% in HG and of Urovysion®-FISH from 84.6% in LG to 100% in HG tumours. Specificity was 4.5% for Xpert®-BC-Detection, 93.9% for cytology, 78.8% for Bladder-Epicheck® and 81.8% for Urovysion®-FISH. PPV was 33% for Xpert®-BC-Detection, 76.5% for cytology, 58.8% for Bladder-Epicheck® and 69.2% for Urovysion®FISH. NPV was 100% for Xpert®-BC-Detection, 77.5% for cytology, 82.5% for Bladder-Epicheck® and 93.1% for Urovysion®FISH.

CONCLUSION

Bladder-Epicheck® and Urovysion®FISH along with cytology could be a helpful ancillary method in the diagnosis and follow-up of UTUC while due to its low specificity Xpert®-BC Detection seems to be of limited usefulness.

Can microRNAs be utilized as tumor markers for recurrence following nephrectomy in renal cell carcinoma patients? A meta-analysis provides the answer

INTRODUCTION

Renal cell carcinoma (RCC) is an aggressive tumor. Many studies investigated microRNAs (miRs) as RCC prognostic biomarkers, often reporting inconsistent findings. We present a meta-analysis to identify if tissue-derived miRs can be used as a prognostic factor in patients after nephrectomy.

METHODS

Data were obtained from PubMed, Embase, and Web of Science. The hazard ratio with 95% confidence intervals assessed the prognostic value of microRNAs. Outcomes of interest included the prognosis role of microRNAs in overall survival (OS), recurrence-free survival (RFS), and cancer-specific survival (CSS) in nephrectomy patients.

RESULTS

Nine retrospective studies that evaluated microRNAs in 1,541 nephrectomy patients were collected. There were heterogeneities across studies for microRNAs in the 15 studies examining OS, RFS, and CSS (I² = 84.51%; P < 0.01); the random-effect model was calculated (HR = 1.371; (95% CI: 0.831-2.260); P = 0.216).

CONCLUSION

Our study indicated that miRNAs cannot be used as a marker for recurrence in RCC patients after nephrectomy, and researchers shouldn't make the mistake that if miRs can be used as a biomarker in RCC, they cannot be used as a marker after nephrectomy in RCC. As all of these findings were from retrospective studies, further studies are needed to verify the role of microRNAs in clinical trials.