Biomarker in Urologic Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Biomarkers".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 7164

Special Issue Editor


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Guest Editor
Department of Urology, Zealand University Hospital, Roskilde, Denmark
Interests: diagnosing, treating, and monitoring urological cancer to optimize treatment and prevent overtreatment

Special Issue Information

Dear Colleagues,

Renal cell carcinoma (RCC) is a prevalent malignant kidney tumor. RCC accounts for 137,000 cases in Europe, 76,000 cases in North America, and 403,000 cases globally annually. Primary metastatic RCC is found in approximately 15–20% of patients at diagnosis, while the remaining patients are offered curative treatment to partially or completely remove the affected kidney. However, 15–20% of these patients experience a recurrence within five years of follow-up. Radiological imaging is the gold standard for recurrence detection, with follow-up CT imaging of the thorax and abdomen every six months for two years and then annually for up to 10. Despite these measures, approximately 30% of recurrences occur outside of follow-up protocols, and only 10% of patients with a recurrence have curable tumors. Therefore, improved prognostic tools are necessary to develop more precise surveillance, diagnosis and treatment strategies to improve survival rates.

We welcome original research articles and reviews that present innovative approaches and techniques in the identification and validation of urological biomarkers. Topics of interest may include but are not limited to the evaluation of new biomarkers for urological cancer, the use of imaging techniques for biomarker detection, and the integration of biomarkers into clinical decision-making processes.

The aim of this Special Issue is to provide an up-to-date overview of the latest research on biomarkers in the field of urology, with a particular focus on kidney cancer. We welcome original research articles and reviews that cover a range of research areas, including (but not limited to) radiological and biological biomarkers for the diagnosis, treatment strategy, and surveillance of urological cancer. Our goal is to gather cutting-edge research that explores new approaches to biomarker discovery and validation, and how these biomarkers can be used to improve patient outcomes. We encourage submissions that showcase innovative research methods and techniques that have the potential to advance the field of urological cancer research. We look forward to receiving your contributions.

Dr. Nessn H. Azawi
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urological cancer
  • biomarkers
  • diagnosis
  • prognosis
  • treatment response
  • surveillance
  • imaging
  • molecular
  • genetics
  • urine-based biomarkers

Published Papers (6 papers)

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Research

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16 pages, 7043 KiB  
Article
Circular STAG2 RNA Modulates Bladder Cancer Progression via miR-145-5p/TAGLN2 and Is Considered as a Biomarker for Recurrence
by Chris Du, Wayne C. Waltzer, Jeremy E. Wilusz, Massimiliano Spaliviero, Frank Darras and Victor Romanov
Cancers 2024, 16(5), 978; https://doi.org/10.3390/cancers16050978 - 28 Feb 2024
Viewed by 793
Abstract
The current study aimed to elucidate the regulatory mechanisms of the circRNA hsa_circ_0139697 (circSTAG2(16–25)) in BCa and to consider the opportunity of using circSTAG2(16–25) isolated from BCa patient urine as a marker for disease development prediction. The selection of this circRNA was determined [...] Read more.
The current study aimed to elucidate the regulatory mechanisms of the circRNA hsa_circ_0139697 (circSTAG2(16–25)) in BCa and to consider the opportunity of using circSTAG2(16–25) isolated from BCa patient urine as a marker for disease development prediction. The selection of this circRNA was determined by the special role of its parental gene STAG2 in BCa biology. The circRNA hsa_circ_0139697 was chosen from 25 STAG2 circRNAs due to its differential expression in the urine of BCa patients and healthy volunteers. Higher levels of circSTAG2(16–25) were detected in urine samples obtained from patients with recurrent tumors. A higher expression of circSTAG2(16–25) was also detected in more tumorigenic BCa cell lines. The overexpression of circSTAG2(16–25) in BCa cells induced the elevation of proliferation, motility, and invasion. To study the mechanisms of circSTAG2(16–25) activity, we confirmed that circSTAG2(16–25) can bind miR-145-5p in vitro as was predicted by bioinformatic search. miR-145-5p was shown to suppress some genes that promoted BCa progression. One of these genes, TAGLN2, encodes the protein Transgelin 2, which plays a role in BCa cell motility and invasion. Therefore, the possible mechanism of action of circSTAG2(16–25) could be sponging the tumor suppressor miR-145-5p, which results in activation of TAGLN2. In addition, circSTAG2(16–25) might be considered as a potential biomarker for recurrence prediction. Full article
(This article belongs to the Special Issue Biomarker in Urologic Cancer)
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13 pages, 1647 KiB  
Article
Use of Droplet Digital Polymerase Chain Reaction to Identify Biomarkers for Differentiation of Benign and Malignant Renal Masses
by Joshua P. Hayden, Adam Wiggins, Travis Sullivan, Thomas Kalantzakos, Kailey Hooper, Alireza Moinzadeh and Kimberly Rieger-Christ
Cancers 2024, 16(4), 787; https://doi.org/10.3390/cancers16040787 - 15 Feb 2024
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Abstract
Several microRNAs (miRNAs) have been identified as cell-free biomarkers for detecting renal cell carcinoma (RCC). Droplet digital polymerase chain reaction (ddPCR) is a unique technology for nucleic acid quantification. It has the potential for superior precision, reproducibility, and diagnostic performance in identifying circulating [...] Read more.
Several microRNAs (miRNAs) have been identified as cell-free biomarkers for detecting renal cell carcinoma (RCC). Droplet digital polymerase chain reaction (ddPCR) is a unique technology for nucleic acid quantification. It has the potential for superior precision, reproducibility, and diagnostic performance in identifying circulating miRNA biomarkers compared to conventional quantitative real-time PCR (qRT-PCR). This study aims to evaluate the performance of ddPCR compared to qRT- PCR in identifying miRNA biomarkers that differentiate malignant from benign renal masses. Potential biomarkers of RCC were identified from a literature review. RNA was extracted from the plasma of 56 patients. All the samples underwent analysis via ddPCR as well as qRT-PCR, and expression levels were recorded for the following miRNAs: miR-93, -144, -210, -221, and -222. Tumors were grouped into low-grade ccRCC, high-grade ccRCC, papillary RCC, and benign masses (primarily angiomyolipoma). The miRNA miR-210 (p = 0.034) and the combination of miRs-210 and miR-222 (p = 0.003) were expressed at significantly higher rates among those with RCC than those with benign masses, as measured by ddPCR. Using the combination of miR-210 and miR-222, ddPCR identified significant differences between the subgroups: papillary RCC versus benign (p = 0.03), low-grade ccRCC versus benign (p = 0.026), and high-grade ccRCC versus benign (p = 0.002). The only significant difference between these subgroups using qRT-PCR was between high-grade ccRCC and benign (p = 0.045). All the AUCs were significant when comparing each RCC subgroup with benign for both PCR technologies. Using a combination of miR-210 and miR-222, ddPCR identified significant differences between benign and malignant renal masses that were not identified as significant by conventional qRT-PCR. Full article
(This article belongs to the Special Issue Biomarker in Urologic Cancer)
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12 pages, 1615 KiB  
Article
Cystoscopy Accuracy in Detecting Bladder Tumors: A Prospective Video-Confirmed Study
by Cathrine Silberg Guldhammer, Juan Luis Vásquez, Vibeke Møllegaard Kristensen, Thomas Norus, Naomi Nadler, Jørgen Bjerggaard Jensen and Nessn Azawi
Cancers 2024, 16(1), 160; https://doi.org/10.3390/cancers16010160 - 28 Dec 2023
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Abstract
Background: Bladder cancer ranks as the 10th most common cancer globally. The diagnosis of bladder tumors typically involves cystoscopy. Objective: This study aimed to evaluate the sensitivity and specificity of cystoscopy in detecting bladder tumors within a surveillance program following a bladder cancer [...] Read more.
Background: Bladder cancer ranks as the 10th most common cancer globally. The diagnosis of bladder tumors typically involves cystoscopy. Objective: This study aimed to evaluate the sensitivity and specificity of cystoscopy in detecting bladder tumors within a surveillance program following a bladder cancer diagnosis. Design, Setting, and Participants: This study utilized recordings of cystoscopies conducted at the Department of Urology, Zealand University Hospital, between July 2021 and November 2022. Clinical observations were cross-referenced with pathological results or follow-up cystoscopies. Clinically negative cystoscopies were further scrutinized for potential overlooked tumors. Outcome Measurements and Statistical Analysis: Sensitivity and specificity of cystoscopy were assessed through ROC curve analysis. Results and Limitations: A total of 565 cystoscopies were recorded, with 135 indicating clinical positivity. Among 181 cystoscopies with clinically negative results that underwent a follow-up cystoscopy, 17 patients (9.4%) were subsequently diagnosed with bladder cancer, with the lesions identified in the initial cystoscopy. The sensitivity and specificity of cystoscopy in these cases were 81% and 73%, respectively. Conclusion: This trial underscores the underdiagnosis and undertreatment of bladder tumors within the current surveillance program. Additionally, aggressive malignant lesions may be overlooked, heightening the risk of disease progression. Therefore, it is recommended that cystoscopies be complemented by other diagnostic methods to ensure accurate diagnosis and proper patient treatment. Patient Summary: This study involved 316 patients who underwent video-recorded cystoscopies and subsequent follow-up. Of these patients, 181 initially exhibited no clinical signs of bladder cancer. However, upon reviewing the recorded cystoscopy, bladder cancer was identified in 17 patients (9.4%). Full article
(This article belongs to the Special Issue Biomarker in Urologic Cancer)
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18 pages, 8548 KiB  
Article
Identification of SPP1 as a Prognostic Biomarker and Immune Cells Modulator in Urothelial Bladder Cancer: A Bioinformatics Analysis
by Taoufik Nedjadi, Mohamed Eldigire Ahmed, Hifzur R. Ansari, Sihem Aouabdi and Jaudah Al-Maghrabi
Cancers 2023, 15(23), 5704; https://doi.org/10.3390/cancers15235704 - 4 Dec 2023
Viewed by 1404
Abstract
Secreted phosphoprotein-1 (SPP1) expression is differentially altered in many malignancies and could serve as a potential prognostic biomarker. Recent findings indicated that SPP1 possesses a broader role in bladder cancer (BC) pathogenesis than previously envisioned; however, the underlying mechanisms governing its expression, cellular [...] Read more.
Secreted phosphoprotein-1 (SPP1) expression is differentially altered in many malignancies and could serve as a potential prognostic biomarker. Recent findings indicated that SPP1 possesses a broader role in bladder cancer (BC) pathogenesis than previously envisioned; however, the underlying mechanisms governing its expression, cellular localization, prognostic value and immune-related role in bladder cancer remain poorly understood. The expression and the prognosis value of SPP1 were assessed using immunohistochemistry (IHC) staining on a tissue microarray. SPP1 expression was correlated with the clinicopathological parameters, and survival analysis was calculated using a Kaplan–Meier plotter. Bioinformatics analysis of TCGA data was queried using UALCAN, CIBERSORT and TIMER datasets to decipher the biological processes enrichment pattern, protein–protein interactions and characterize tumor-infiltrating immune cells, respectively. IHC revealed that SPP1 expression is significantly associated with tumor type, stage, grade and smoking status. The Kaplan–Meier survival curve showed that low SPP1 expression is an unfavorable prognostic indicator in bladder cancer patients (p = 0.02, log-rank). The significant increased expression of the SPP1 level is associated with evident hypomethylation of the gene promoter in cancer compared to normal tissues in the TCGA-bladder dataset. Missense mutation is the most frequent genetic alteration of the SPP1 gene. Protein–protein interactions demonstrated that SPP1 shares the same network with many important genes and is involved in many signaling pathways and biological processes. TIMER reported a significant correlation between SPP1 expression and multiple immune cells infiltration. Furthermore, the expression of SPP1 was found to be positively correlated with a number of immune checkpoint genes such as PD-1 and CTLA4. The current investigation indicates that the SPP1 protein could serve as a prognostic biomarker and merit further investigation to validate its clinical usefulness in patients with bladder cancer. Full article
(This article belongs to the Special Issue Biomarker in Urologic Cancer)
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11 pages, 1523 KiB  
Article
Exploring the Characteristics of Circulating Tumor DNA in Pt1a Clear Cell Renal Cell Carcinoma: A Pilot Study
by Hongkyung Kim, Jee Soo Park, Zisun Choi, Seungki Min, Jihyang Park, Saeam Shin, Jong Rak Choi, Seung-Tae Lee and Won Sik Ham
Cancers 2023, 15(13), 3306; https://doi.org/10.3390/cancers15133306 - 23 Jun 2023
Cited by 1 | Viewed by 1170
Abstract
Circulating tumor DNA (ctDNA) is a promising biomarker for clear cell renal cell carcinoma (ccRCC); however, its characteristics in small renal masses of ccRCC remain unclear. In this pilot study, we explored the characteristics of ctDNA in pT1a ccRCC. Plasma samples were collected [...] Read more.
Circulating tumor DNA (ctDNA) is a promising biomarker for clear cell renal cell carcinoma (ccRCC); however, its characteristics in small renal masses of ccRCC remain unclear. In this pilot study, we explored the characteristics of ctDNA in pT1a ccRCC. Plasma samples were collected preoperatively from 53 patients with pT1a ccRCC. The ctDNA of pT1a ccRCC was profiled using next-generation sequencing and compared with that of higher-stage ccRCC. The association of ctDNA in pT1a ccRCC with clinicopathological features was investigated. The positive relationship of mutations between ctDNA and matched tissues was evaluated. In pT1a ccRCC, the ctDNA detection rate, cell-free DNA concentration, and median variant allele frequency were 20.8%, 5.8 ng/mL, and 0.38%, respectively, which were significantly lower than those in metastatic ccRCC. The ctDNA gene proportions in pT1a samples differed from those in metastatic ccRCC samples. The relationships between ctDNA and tumor size, tumor grade, and patient age were not elucidated. The positive concordance between ctDNA and matched tissues was poor for pT1a ccRCC. Strategies are needed to increase sensitivity while eliminating noise caused by clonal hematopoiesis to increase the clinical utility of ctDNA analysis in small renal masses of ccRCC. Full article
(This article belongs to the Special Issue Biomarker in Urologic Cancer)
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Review

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17 pages, 4286 KiB  
Review
MicroRNA-371a-3p—The Novel Serum Biomarker in Testicular Germ Cell Tumors
by Tim Nestler, Justine Schoch, Gazanfer Belge and Klaus-Peter Dieckmann
Cancers 2023, 15(15), 3944; https://doi.org/10.3390/cancers15153944 - 3 Aug 2023
Cited by 1 | Viewed by 1206
Abstract
Introduction: Testicular germ cell tumors (TGCTs) are a paradigm for the use of serum tumor markers in clinical management. However, conventional markers such as alpha-fetoprotein (AFP), beta-human chorionic gonadotropin (hCG), and lactate dehydrogenase (LDH) have quite limited sensitivities and specificities. Within the last [...] Read more.
Introduction: Testicular germ cell tumors (TGCTs) are a paradigm for the use of serum tumor markers in clinical management. However, conventional markers such as alpha-fetoprotein (AFP), beta-human chorionic gonadotropin (hCG), and lactate dehydrogenase (LDH) have quite limited sensitivities and specificities. Within the last decade, the microRNA-371a-3p (miR371) emerged as a possible new biomarker with promising features. Areas covered: This review covers the typical features as well as possible clinical applications of miR371 in TGCT patients, such as initial diagnosis, therapy monitoring, and follow-up. Additionally, technical issues are discussed. Expert opinion: With a sensitivity of around 90% and specificity >90%, miR371 clearly outperforms the classical serum tumor markers in TGCTs. The unique features of the test involve the potential of modifying recent standards of care in TGCT. In particular, miR371 is expected to aid clinical decision-making in scenarios such as discriminating small testicular TGCT masses from benign ones prior to surgery, assessing equivocal lymphadenopathies, and monitoring chemotherapy results. Likewise, it is expected to make follow-up easier by reducing the intensity of examinations and by sparing imaging procedures. Overall, the data presently available are promising, but further prospective studies are required before the test can be implemented in standard clinical care. Full article
(This article belongs to the Special Issue Biomarker in Urologic Cancer)
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