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Latcu SC, Bardan R, Cumpanas AA, Barbos V, Baderca F, Gaje PN, Ceausu RA, Comsa S, Dumitru CS, Dumache R, Cut TG, Lazureanu VE, Petrica L. Immunotherapy Applications for Thymine Dimers and WT1 Antigen in Renal Cancers: A Comparative Statistical Analysis. J Pers Med 2024; 14:557. [PMID: 38929778 PMCID: PMC11205122 DOI: 10.3390/jpm14060557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/28/2024] Open
Abstract
Renal cell carcinoma (RCC) remains incurable in advanced stages. Biomarkers have proven to be quite useful in cancer therapeutics. Herein, we provide a comparative/integrative statistical analysis of seminal immunohistochemistry (IHC) findings for Wilms' Tumor 1 antigen (WT1) and thymine dimers (TDs), emerging as atypical, yet promising, potential biomarkers for RCCs. We assessed WT1/TD reactivity in adult RCC tumor cells, tumor microenvironment (TME), and tumor-adjacent healthy renal tissue (HRT). WT1 positivity was scarce and strictly nuclear in tumor cells, whereas TD-reactive tumor tissues were prevalent. We report statistically significant positive correlations between the density of reactive RCC cellularity and the intensity of nuclear staining for both biomarkers (WT1 - rho = 0.341, p-value = 0.036; TDs - rho = 0.379, p-value = 0.002). RCC stromal TME TD-positivity was much more frequent than WT1 reactivity, apparently proportional to that of the proper RCC cellularity and facilitated by extensive RCC inflammatory infiltration. TDs exhibited nuclear reactivity for most TME cell lines, while RCC TME WT1 expression was rare and inconsistent. In HRTs, TDs were entirely restricted to renal tubular cells, the likely cellular progenitor of most conventional RCC subtypes. In lieu of proper validation, these early findings have significant implications regarding the origins/biology of RCCs and may inform RCC therapeutics, both accounting for the high frequency of immunotherapy-permissive frameshift indels in RCCs, but also hinting at novel predictive clinical tools for WT1-targeted immunotherapy. Overall, the current study represents a meek yet hopefully significant step towards understanding the molecular biology and potential therapeutic targets of RCCs.
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Affiliation(s)
- Silviu Constantin Latcu
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (S.C.L.); (V.B.)
- Department XV, Discipline of Urology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
| | - Razvan Bardan
- Department XV, Discipline of Urology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
| | - Alin Adrian Cumpanas
- Department XV, Discipline of Urology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
| | - Vlad Barbos
- Doctoral School, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (S.C.L.); (V.B.)
| | - Flavia Baderca
- Department II of Microscopic Morphology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (F.B.); (P.N.G.); (R.A.C.); (S.C.); (C.-S.D.)
- Angiogenesis Research Center, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
| | - Pusa Nela Gaje
- Department II of Microscopic Morphology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (F.B.); (P.N.G.); (R.A.C.); (S.C.); (C.-S.D.)
- Angiogenesis Research Center, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
| | - Raluca Amalia Ceausu
- Department II of Microscopic Morphology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (F.B.); (P.N.G.); (R.A.C.); (S.C.); (C.-S.D.)
- Angiogenesis Research Center, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
| | - Serban Comsa
- Department II of Microscopic Morphology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (F.B.); (P.N.G.); (R.A.C.); (S.C.); (C.-S.D.)
- Angiogenesis Research Center, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
| | - Cristina-Stefania Dumitru
- Department II of Microscopic Morphology, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania; (F.B.); (P.N.G.); (R.A.C.); (S.C.); (C.-S.D.)
- Angiogenesis Research Center, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
| | - Raluca Dumache
- Department VIII, Discipline of Forensic Medicine, Bioethics, Deontology and Medical Law, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
- Center for Ethics in Human Genetic Identifications, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
| | - Talida Georgiana Cut
- Center for Ethics in Human Genetic Identifications, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
- Department XIII, Discipline of Infectious Diseases, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
| | - Voichita Elena Lazureanu
- Department XIII, Discipline of Infectious Diseases, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
| | - Ligia Petrica
- Department of Internal Medicine II, Division of Nephrology, Victor Babes University of Medicine and Pharmacy Timisoara, County Emergency Hospital Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania;
- Centre for Molecular Research in Nephrology and Vascular Disease, Faculty of Medicine, Victor Babes University of Medicine and Pharmacy Timisoara, E. Murgu Square, No. 2, 300041 Timisoara, Romania
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Buhas BA, Toma V, Beauval JB, Andras I, Couți R, Muntean LAM, Coman RT, Maghiar TA, Știufiuc RI, Lucaciu CM, Crisan N. Label-Free SERS of Urine Components: A Powerful Tool for Discriminating Renal Cell Carcinoma through Multivariate Analysis and Machine Learning Techniques. Int J Mol Sci 2024; 25:3891. [PMID: 38612705 PMCID: PMC11011951 DOI: 10.3390/ijms25073891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 03/29/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024] Open
Abstract
The advent of Surface-Enhanced Raman Scattering (SERS) has enabled the exploration and detection of small molecules, particularly in biological fluids such as serum, blood plasma, urine, saliva, and tears. SERS has been proposed as a simple diagnostic technique for various diseases, including cancer. Renal cell carcinoma (RCC) ranks as the sixth most commonly diagnosed cancer in men and is often asymptomatic, with detection occurring incidentally. The onset of symptoms typically aligns with advanced disease, aggressive histology, and unfavorable prognosis, and therefore new methods for an early diagnosis are needed. In this study, we investigated the utility of label-free SERS in urine, coupled with two multivariate analysis approaches: Principal Component Analysis combined with Linear Discriminant Analysis (PCA-LDA) and Support Vector Machine (SVM), to discriminate between 50 RCC patients and 44 healthy donors. Employing LDA-PCA, we achieved a discrimination accuracy of 100% using 13 principal components, and an 88% accuracy in discriminating between different RCC stages. The SVM approach yielded a training accuracy of 100%, a validation accuracy of 99% for discriminating between RCC and controls, and an 80% accuracy for discriminating between stages. The comparative analysis of raw and normalized SERS spectral data shows that while raw data disclose relative concentration variations in urine metabolites between the two classes, the normalization of spectral data significantly improves the accuracy of discrimination. Moreover, the selection of principal components with markedly distinct scores between the two classes serves to alleviate overfitting risks and reduces the number of components employed for discrimination. We obtained the accuracy of the discrimination between the RCC patients cases and healthy donors of 90% for three PCs and a linear discrimination function, and a 88% accuracy of discrimination between stages using six PCs, mitigating practically the risk of overfitting and increasing the robustness of our analysis. Our findings underscore the potential of label-free SERS of urine in conjunction with chemometrics for non-invasive and early RCC detection.
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Affiliation(s)
- Bogdan Adrian Buhas
- Department of Urology, La Croix du Sud Hospital, 52 Chemin de Ribaute St., 31130 Quint Fonsegrives, France; (B.A.B.); (J.-B.B.)
- Department of Urology, Clinical Municipal Hospital, 11 Tabacarilor St., 400139 Cluj-Napoca, Romania; (I.A.); (N.C.)
- Faculty of Medicine and Pharmacy, University of Oradea, 1 Universitatii St., 410087 Oradea, Romania; (R.C.); (T.A.M.)
| | - Valentin Toma
- Department of Nanobiophysics, MedFuture Research Center for Advanced Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 4-6 Pasteur St., 400337 Cluj-Napoca, Romania;
| | - Jean-Baptiste Beauval
- Department of Urology, La Croix du Sud Hospital, 52 Chemin de Ribaute St., 31130 Quint Fonsegrives, France; (B.A.B.); (J.-B.B.)
| | - Iulia Andras
- Department of Urology, Clinical Municipal Hospital, 11 Tabacarilor St., 400139 Cluj-Napoca, Romania; (I.A.); (N.C.)
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 8 Victor Babes St., 400347 Cluj-Napoca, Romania
| | - Răzvan Couți
- Faculty of Medicine and Pharmacy, University of Oradea, 1 Universitatii St., 410087 Oradea, Romania; (R.C.); (T.A.M.)
| | - Lucia Ana-Maria Muntean
- Department of Medical Education, “Iuliu Hatieganu” University of Medicine and Pharmacy, 8 Victor Babes St., 400347 Cluj-Napoca, Romania;
| | - Radu-Tudor Coman
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 8 Victor Babes St., 400347 Cluj-Napoca, Romania
| | - Teodor Andrei Maghiar
- Faculty of Medicine and Pharmacy, University of Oradea, 1 Universitatii St., 410087 Oradea, Romania; (R.C.); (T.A.M.)
| | - Rareș-Ionuț Știufiuc
- Department of Nanobiophysics, MedFuture Research Center for Advanced Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 4-6 Pasteur St., 400337 Cluj-Napoca, Romania;
- Department of Pharmaceutical Physics–Biophysics, Faculty of Pharmacy, “Iuliu Hatieganu” University of Medicine and Pharmacy, 6 Pasteur St., 400349 Cluj-Napoca, Romania
- Nanotechnology Laboratory, TRANSCEND Research Center, Regional Institute of Oncology, 700483 Iași, Romania
| | - Constantin Mihai Lucaciu
- Department of Pharmaceutical Physics–Biophysics, Faculty of Pharmacy, “Iuliu Hatieganu” University of Medicine and Pharmacy, 6 Pasteur St., 400349 Cluj-Napoca, Romania
| | - Nicolae Crisan
- Department of Urology, Clinical Municipal Hospital, 11 Tabacarilor St., 400139 Cluj-Napoca, Romania; (I.A.); (N.C.)
- Faculty of Medicine, “Iuliu Hatieganu” University of Medicine and Pharmacy, 8 Victor Babes St., 400347 Cluj-Napoca, Romania
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Azawi N, Mosholt KSS, Fryd ND, Lund L, Brignone JI, Hvid N, Wulf-Johansson H, Pedersen OBV, Saekmose SG, Dabestani S. suPARnostic: an advanced predictive tool for detecting recurrence in renal cell carcinoma. BMC Urol 2023; 23:168. [PMID: 37875832 PMCID: PMC10594785 DOI: 10.1186/s12894-023-01337-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 10/06/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND Plasma soluble urokinase-type Plasminogen Activator Receptor (suPAR) predicts disease aggressiveness in renal cell carcinoma (ccRCC), but its prognostic accuracy has not been investigated. To investigate the prognostic accuracy of preoperative plasma suPAR in patients who received curative treatment for initially localized ccRCC. METHODS We retrospectively analyzed plasma samples stored in the Danish National Biobank between 2010 and 2015 from 235 patients with ccRCC at any stage. Relationships with outcome analyzed using univariate and multiple logistic Cox regression analysis. RESULTS There were 235 patients with ccRCC. The median follow-up period was 7.7 years. In univariate analysis suPAR ≥ 6 ng/mL was significantly associated with overall survival (OS) and recurrence-free survival (RFS). Patients with elevated suPAR were more likely to recur, with a Hazard Ratio (HR) of 2.3 for RFS. In multiple logistic regression, suPAR ≥ 6 ng/mL remained a negative predictor of OS and RFS. Limitations include retrospective study design, wide confidence intervals, and tumor subtype heterogeneity bias. CONCLUSIONS ccRCC patients with high plasma suPAR concentrations are at an elevated risk of disease recurrence and see lower OS. suPAR is a promising surveillance tool to more precisely follow up with ccRCC patients and detect future recurrences. In this study, we showed that new type of liquid marker in blood plasma, called suPAR, is associated to a higher risk of kidney cancer recurrence when elevated above 6ng/mL. We also showed suPAR to independently be able to predict patients overall and recurrence free survival in patient with any stage of kidney cancer.
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Affiliation(s)
- Nessn Azawi
- Department of Urology, Zealand University Hospital, Sygehusvej 6, Roskilde, 4000, Denmark.
- Institute of Clinical Medicine, University of Copenhagen, Norregade 10, copenhagen, Copenhagen, 1165, Denmark.
| | | | - Nathalie Demuth Fryd
- Deparment of Urology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, 8200 Aarhus N, Aarhus, Denmark
| | - Lars Lund
- Deparment of Urology, Odense University Hospital, J. B. Winslows Vej 4, Odense, 5000, Denmark
| | - Juan Ignacio Brignone
- Department of Urology, Aalborg University hospital, Hobrovej 18-22, Aalborg, Aalborg, 9100, Denmark
| | - Nanna Hvid
- Deparment of Urology, Odense University Hospital, J. B. Winslows Vej 4, Odense, 5000, Denmark
| | - Helle Wulf-Johansson
- Department of Clinical Immunology, Naestved Hospital, Ringstedgade 61, Naestved, Naestved, 4700, Denmark
| | | | - Susanne Gjørup Saekmose
- Department of Clinical Immunology, Naestved Hospital, Ringstedgade 61, Naestved, Naestved, 4700, Denmark
| | - Saeed Dabestani
- Department of Urology, Kristianstad Central Hospital, Region Skane, Kristianstad, Sweden
- Department of Translational Medicine, Division of Urological Cancers, Lund University, Lund, Sweden
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Nolazco JI, Soerensen SJC, Chung BI. Biomarkers for the Detection and Surveillance of Renal Cancer. Urol Clin North Am 2023; 50:191-204. [PMID: 36948666 DOI: 10.1016/j.ucl.2023.01.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Renal cell carcinoma (RCC) is a heterogeneous disease characterized by a broad spectrum of disorders in terms of genetics, molecular and clinical characteristics. There is an urgent need for noninvasive tools to stratify and select patients for treatment accurately. In this review, we analyze serum, urinary, and imaging biomarkers that have the potential to detect malignant tumors in patients with RCC. We discuss the characteristics of these numerous biomarkers and their ability to be used routinely in clinical practice. The development of biomarkers continues to evolve with promising prospects.
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Affiliation(s)
- José Ignacio Nolazco
- Division of Urological Surgery, Brigham and Women's Hospital, Harvard Medical School, 45 Francis Street, Boston, MA 02115, USA; Servicio de Urología, Hospital Universitario Austral, Universidad Austral, Av Juan Domingo Perón 1500, B1629AHJ Pilar, Argentina.
| | - Simon John Christoph Soerensen
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, USA
| | - Benjamin I Chung
- Department of Urology, Stanford University School of Medicine, Stanford, CA, USA
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Chen P, Bi F, Tan W, Jian L, Yu X. A novel immune-related model to predict prognosis and responsiveness to checkpoint and angiogenesis blockade therapy in advanced renal cancer. Front Oncol 2023; 13:1127448. [PMID: 36998443 PMCID: PMC10043594 DOI: 10.3389/fonc.2023.1127448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 02/28/2023] [Indexed: 03/16/2023] Open
Abstract
BackgroundImmune checkpoint blockade (ICB) and anti-angiogenic drug combination has prolonged the survival of patients with advanced renal cell carcinoma (RCC). However, not all patients receive clinical benefits from this intervention. In this study, we aimed to establish a promising immune-related prognostic model to stratify the patients responding to ICB and anti-angiogenic drug combination and facilitate the development of personalized therapies for patients with RCC.Materials and methodsBased on clinical annotations and RNA-sequencing (RNA-seq) data of 407 patients with advanced RCC from the IMmotion151 cohort, nine immune-associated differentially expressed genes (DEGs) between responders and non-responders to atezolizumab (anti-programmed death-ligand 1 antibody) plus bevacizumab (anti-vascular endothelial growth factor antibody) treatment were identified via weighted gene co-expression network analysis. We also conducted single-sample gene set enrichment analysis to develop a novel immune-related risk score (IRS) model and further estimate the prognosis of patients with RCC by predicting their sensitivity to chemotherapy and responsiveness to immunotherapy. IRS model was further validated using the JAVELIN Renal 101 cohort, the E-MTAB-3218 cohort, the IMvigor210 and GSE78220 cohort. Predictive significance of the IRS model for advanced RCC was assessed using receiver operating characteristic curves.ResultsThe IRS model was constructed using nine immune-associated DEGs: SPINK5, SEMA3E, ROBO2, BMP5, ORM1, CRP, CTSE, PMCH and CCL3L1. Advanced RCC patients with high IRS had a high risk of undesirable clinical outcomes (hazard ratio = 1.91; 95% confidence interval = 1.43–2.55; P < 0.0001). Transcriptome analysis revealed that the IRS-low group exhibited significantly high expression levels of CD8+ T effectors, antigen-processing machinery, and immune checkpoints, whereas the epithelial–mesenchymal transition pathway was enriched in the IRS-high group. IRS model effectively differentiated the responders from non-responders to ICB combined with angiogenesis blockade therapy or immunotherapy alone, with area under the curve values of 0.822 in the IMmotion151 cohort, 0.751 in the JAVELIN Renal 101 cohort, and 0.776 in the E-MTAB-3218 cohort.ConclusionIRS model is a reliable and robust immune signature that can be used for patient selection to optimize the efficacy of ICB plus anti-angiogenic drug therapies in patients with advanced RCC.
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Contemporary Clinical Definitions, Differential Diagnosis, and Novel Predictive Tools for Renal Cell Carcinoma. Biomedicines 2022; 10:biomedicines10112926. [PMID: 36428491 PMCID: PMC9687297 DOI: 10.3390/biomedicines10112926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/26/2022] [Accepted: 11/11/2022] [Indexed: 11/16/2022] Open
Abstract
Despite significant progress regarding clinical detection/imaging evaluation modalities and genetic/molecular characterization of pathogenesis, advanced renal cell carcinoma (RCC) remains an incurable disease and overall RCC mortality has been steadily rising for decades. Concomitantly, clinical definitions have been greatly nuanced and refined. RCCs are currently viewed as a heterogeneous series of cancers, with the same anatomical origin, but fundamentally different metabolisms and clinical behaviors. Thus, RCC pathological diagnosis/subtyping guidelines have become increasingly intricate and cumbersome, routinely requiring ancillary studies, mainly immunohistochemistry. Meanwhile, RCC-associated-antigen targeted systemic therapy has been greatly diversified and emerging, novel clinical applications for RCC immunotherapy have already reported significant survival benefits, at least in the adjuvant setting. Even so, systemically disseminated RCCs still associate very poor clinical outcomes, with currently available therapeutic modalities only being able to prolong survival. In lack of a definitive cure for advanced RCCs, integration of the amounting scientific knowledge regarding RCC pathogenesis into RCC clinical management has been paramount for improving patient outcomes. The current review aims to offer an integrative perspective regarding contemporary RCC clinical definitions, proper RCC clinical work-up at initial diagnosis (semiology and multimodal imaging), RCC pathological evaluation, differential diagnosis/subtyping protocols, and novel clinical tools for RCC screening, risk stratification and therapeutic response prediction.
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Panels of mRNAs and miRNAs for decoding molecular mechanisms of Renal Cell Carcinoma (RCC) subtypes utilizing Artificial Intelligence approaches. Sci Rep 2022; 12:16393. [PMID: 36180558 PMCID: PMC9525704 DOI: 10.1038/s41598-022-20783-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 09/19/2022] [Indexed: 11/12/2022] Open
Abstract
Renal Cell Carcinoma (RCC) encompasses three histological subtypes, including clear cell RCC (KIRC), papillary RCC (KIRP), and chromophobe RCC (KICH) each of which has different clinical courses, genetic/epigenetic drivers, and therapeutic responses. This study aimed to identify the significant mRNAs and microRNA panels involved in the pathogenesis of RCC subtypes. The mRNA and microRNA transcripts profile were obtained from The Cancer Genome Atlas (TCGA), which were included 611 ccRCC patients, 321 pRCC patients, and 89 chRCC patients for mRNA data and 616 patients in the ccRCC subtype, 326 patients in the pRCC subtype, and 91 patients in the chRCC for miRNA data, respectively. To identify mRNAs and miRNAs, feature selection based on filter and graph algorithms was applied. Then, a deep model was used to classify the subtypes of the RCC. Finally, an association rule mining algorithm was used to disclose features with significant roles to trigger molecular mechanisms to cause RCC subtypes. Panels of 77 mRNAs and 73 miRNAs could discriminate the KIRC, KIRP, and KICH subtypes from each other with 92% (F1-score ≥ 0.9, AUC ≥ 0.89) and 95% accuracy (F1-score ≥ 0.93, AUC ≥ 0.95), respectively. The Association Rule Mining analysis could identify miR-28 (repeat count = 2642) and CSN7A (repeat count = 5794) along with the miR-125a (repeat count = 2591) and NMD3 (repeat count = 2306) with the highest repeat counts, in the KIRC and KIRP rules, respectively. This study found new panels of mRNAs and miRNAs to distinguish among RCC subtypes, which were able to provide new insights into the underlying responsible mechanisms for the initiation and progression of KIRC and KIRP. The proposed mRNA and miRNA panels have a high potential to be as biomarkers of RCC subtypes and should be examined in future clinical studies.
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Grincevičienė Š, Vaitkienė D, Kanopienė D, Vansevičiūtė R, Tykvart J, Sukovas A, Celiešiūtė J, Ivanauskaitė Didžiokienė E, Čižauskas A, Laurinavičienė A, Král V, Hlavačková A, Zemanová J, Stravinskienė D, Sližienė A, Petrošiūtė A, Petrauskas V, Balsytė R, Grincevičius J, Navratil V, Jahn U, Konvalinka J, Žvirblienė A, Matulis D, Matulienė J. Factors, associated with elevated concentration of soluble carbonic anhydrase IX in plasma of women with cervical dysplasia. Sci Rep 2022; 12:15397. [PMID: 36100684 PMCID: PMC9470728 DOI: 10.1038/s41598-022-19492-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 08/30/2022] [Indexed: 12/24/2022] Open
Abstract
Precancerous lesions of human cervix uteri have a tendency for regression or progression. In cervical intraepithelial neoplasia grade 2 (CINII) case there is an uncertainty if a lesion will progress or regress. The carbonic anhydrase IX (CAIX) enzyme is overexpressed in cervical cancer which is more sensitive to radiotherapy. CAIX is associated with poor prognosis in solid hypoxic tumors. The aim of this study was to determine factors related to elevated soluble CAIX (s-CAIX) in high-grade intraepithelial lesion (HSIL) cases. Methods. Patients diagnosed with HSIL (N = 77) were included into the research group whereas without HSIL (N = 72)—the control group. Concentration of the soluble CAIX (s-CAIX) in plasma was determined by the DIANA ligand-antibody-based method. C. trachomatis was detected from cervical samples by PCR. Primary outcomes were risk factors elevating s-CAIX level in HSIL group. Non-parametric statistical analysis methods were used to calculate correlations. Results. The s-CAIX level in patients with HSIL was elevated among older participants (rs = 0.27, p = 0.04) and with C. trachomatis infection (p = 0.028). Among heavy smokers with HSIL, the concentration of s-CAIX was higher in older women (rs = 0.52, p = 0.005), but was not related to the age of heavy smokers’ controls (τ = 0.18 p = 0.40). Conclusion. The concentration of s-CAIX was higher among older, heavy smoking and diagnosed with C. trachomatis patients. All these factors increased the risk for HSIL progression.
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Cheng X, Hou J, Wen X, Dong R, Lu Z, Jiang Y, Wu G, Yuan Y. Immunotherapeutic Value of Transcription Factor 19 (TCF19) Associated with Renal Clear Cell Carcinoma: A Comprehensive Analysis of 33 Human Cancer Cases. JOURNAL OF ONCOLOGY 2022; 2022:1488165. [PMID: 36111242 PMCID: PMC9470357 DOI: 10.1155/2022/1488165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 06/30/2022] [Accepted: 07/06/2022] [Indexed: 12/04/2022]
Abstract
Background We aimed to study the relationship between transcription factor 19 (TCF19) and cancer immunotherapy in the 33 types of human cancers. Methods The Cancer Genome Atlas database was analyzed to obtain the gene expression data and clinical characteristics for the cases of 33 types of cancers. GSE67501, GSE78220, and IMvigor 210 were included in the immunotherapy cohorts. Relevant data were obtained by analyzing the gene expression database. The prognostic value of TCF19 was determined by analyzing various clinical parameters, such as survival duration, age, the stage of the tumor, and sex of the patients. The single-sample gene set enrichment analysis method was used to determine the activity of TCF19 and the method was also used to assess the differences between the TCF19 transcriptome and protein levels. The correlation between TCF19 and various immune processes and elements such as immunosuppressants, stimulants, and major histocompatibility complexes were analyzed to gain insights into the role of TCF19. The coherent paths associated with the process of TCF19 signal transduction and the influence of TCF19 on immunotherapy biomarkers have also been discussed herein. Finally, three independent immunotherapy methods were used to understand the relationship between TCF19 and immunotherapy response. Results It was observed that TCF19 was not significantly influenced by the age (5/33), sex (3/33), or tumor stage (3/21) of cancer patients. But the results revealed that TCF19 exhibited a potential prognostic value and could predict the survival rate of the patients. In some cases of this study, the activity and expression of TCF19 were taken at the same level (7/33). Conclusion TCF19 is strongly related to immune cell infiltration, immunomodulators, and immunotherapy markers. Our study demonstrated that high expression levels of TCF19 are strongly linked with the immune-related pathways. Nevertheless, it is noteworthy that TCF19 is not significantly associated with immunotherapy response.
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Affiliation(s)
- Xiaobao Cheng
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Jian Hou
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Xiangyang Wen
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Runan Dong
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Zhenquan Lu
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Yi Jiang
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Guoqing Wu
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
| | - Yuan Yuan
- Department of Urology, The University of Hongkong-Shenzhen Hospital, Shenzhen, China
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The Most Promising Biomarkers of Allogeneic Kidney Transplant Rejection. J Immunol Res 2022; 2022:6572338. [PMID: 35669103 PMCID: PMC9167141 DOI: 10.1155/2022/6572338] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/30/2022] [Indexed: 12/13/2022] Open
Abstract
Clinical transplantology is a constantly evolving field of medicine. Kidney transplantation has become standard clinical practice, and it has a significant impact on reducing mortality and improving the quality of life of patients. Allogenic transplantation induces an immune response, which may lead to the rejection of the transplanted organ. The gold standard for evaluating rejection of the transplanted kidney by the recipient's organism is a biopsy of this organ. However, due to the high invasiveness of this procedure, alternative diagnostic methods are being sought. Therefore, the biomarkers may play an essential predictive role in transplant rejection. A review of the most promising biomarkers for early diagnosis and prognosis prediction of allogenic kidney transplant rejection summarizes novel data on neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), C-X-C motif chemokine 10 (CXCL-10), cystatin C (CysC), osteopontin (OPN), and clusterin (CLU) and analyses the dynamics of changes of the biomarkers mentioned above in kidney diseases and the mechanism of rejection of the transplanted kidney.
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Zhang H, Yin F, Chen M, Yang L, Qi A, Cui W, Yang S, Wen G. Development and Validation of a CT-Based Radiomics Nomogram for Predicting Postoperative Progression-Free Survival in Stage I-III Renal Cell Carcinoma. Front Oncol 2022; 11:742547. [PMID: 35155180 PMCID: PMC8830916 DOI: 10.3389/fonc.2021.742547] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 11/29/2021] [Indexed: 11/17/2022] Open
Abstract
Background Many patients experience recurrence of renal cell carcinoma (RCC) after radical and partial nephrectomy. Radiomics nomogram is a newly used noninvasive tool that could predict tumor phenotypes. Objective To investigate Radiomics Features (RFs) associated with progression-free survival (PFS) of RCC, assessing its incremental value over clinical factors, and to develop a visual nomogram in order to provide reference for individualized treatment. Methods The RFs and clinicopathological data of 175 patients (125 in the training set and 50 in the validation set) with clear cell RCC (ccRCC) were retrospectively analyzed. In the training set, RFs were extracted from multiphase enhanced CT tumor volume and selected using the stability LASSO feature selection algorithm. A radiomics nomogram final model was developed that incorporated the RFs weighted sum and selected clinical predictors based on the multivariate Cox proportional hazard regression. The performances of a clinical variables-only model, RFs-only model, and the final model were compared by receiver operator characteristic (ROC) analysis and DeLong test. Nomogram performance was determined and validated with respect to its discrimination, calibration, reclassification, and clinical usefulness. Results The radiomics nomogram included age, clinical stage, KPS score, and RFs weighted sum, which consisted of 6 selected RFs. The final model showed good discrimination, with a C-index of 0.836 and 0.706 in training and validation, and good calibration. In the training set, the C-index of the final model was significantly larger than the clinical-only model (DeLong test, p = 0.008). From the clinical variables-only model to the final model, the reclassification of net reclassification improvement was 18.03%, and the integrated discrimination improvement was 19.08%. Decision curve analysis demonstrated the clinical usefulness of the radiomics nomogram. Conclusion The CT-based RF is an improvement factor for clinical variables-only model. The radiomics nomogram provides individualized risk assessment of postoperative PFS for patients with RCC.
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Affiliation(s)
- Haijie Zhang
- Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China.,PET/CT Center, Department of Nuclear Medicine, First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Fu Yin
- College of Information Engineering, Shenzhen University, Shenzhen, China
| | - Menglin Chen
- Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Liyang Yang
- Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Anqi Qi
- Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Weiwei Cui
- Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shanshan Yang
- Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ge Wen
- Department of Imaging, Nanfang Hospital, Southern Medical University, Guangzhou, China
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A Mitochondrial Dysfunction and Oxidative Stress Pathway-Based Prognostic Signature for Clear Cell Renal Cell Carcinoma. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2021; 2021:9939331. [PMID: 34868460 PMCID: PMC8635875 DOI: 10.1155/2021/9939331] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 09/07/2021] [Accepted: 11/02/2021] [Indexed: 11/17/2022]
Abstract
Mitochondria not only are the main source of ATP synthesis but also regulate cellular redox balance and calcium homeostasis. Its dysfunction can lead to a variety of diseases and promote cancer and metastasis. In this study, we aimed to explore the molecular characteristics and prognostic significance of mitochondrial genes (MTGs) related to oxidative stress in clear cell renal cell carcinoma (ccRCC). A total of 75 differentially expressed MTGs were analyzed from The Cancer Genome Atlas (TCGA) database, including 46 upregulated and 29 downregulated MTGs. Further analysis screened 6 prognostic-related MTGs (ACAD11, ACADSB, BID, PYCR1, SLC25A27, and STAR) and was used to develop a signature. Kaplan-Meier survival and receiver operating characteristic (ROC) curve analyses showed that the signature could accurately distinguish patients with poor prognosis and had good individual risk stratification and prognostic potential. Stratified analysis based on different clinical variables indicated that the signature could be used to evaluate tumor progression in ccRCC. Moreover, we found that there were significant differences in immune cell infiltration between the low- and high-risk groups based on the signature and that ccRCC patients in the low-risk group responded better to immunotherapy than those in the high-risk group (46.59% vs 35.34%, P = 0.008). We also found that the expression levels of these prognostic MTGs were significantly associated with drug sensitivity in multiple ccRCC cell lines. Our study for the first time elucidates the biological function and prognostic significance of mitochondrial molecules associated with oxidative stress and provides a new protocol for evaluating treatment strategies targeting mitochondria in ccRCC patients.
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Fasanella D, Antonaci A, Esperto F, Scarpa RM, Ferro M, Schips L, Marchioni M. Potential prognostic value of miRNAs as biomarker for progression and recurrence after nephrectomy in renal cell carcinoma: a literature review. Diagnosis (Berl) 2021; 9:157-165. [PMID: 34674417 DOI: 10.1515/dx-2021-0080] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 10/06/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVES We provide a systematic literature review on tissue miRNAs in patients with RCC to evaluate and summarize their usefulness as prognostic markers. We undertook a systematic search for articles in English using the PubMed-Medline database from January 2010 to December 2020. Studies were identified and selected according to the PRISMA criteria and the PICO methodology. The population consisted of RCC patients undergoing nephrectomy and the main outcome of interest was recurrence-free survival (RFS). Only studies providing hazard ratios (HRs) from multivariate or univariate analyzes with corresponding 95% confidence intervals (CI) and/or area under the curve (AUC) were considered. CONTENT All nine included studies (1,541 patients) analyzed the relationship between tissue miRNA expression levels (up or downregulated) and RFS. Some of these found that the methylation status of miR-9-1, miR-9-3 and miR-124 was associated with a high risk of relapse. Moreover, miR-200b overexpression was associated with OS. MiR-210 overexpression indicated a shorter OS than those who were miR-210 negative. Finally, patients with high miR-125b expression had shorter CSS than those with low expression; similarly, patients with low miR-126 expression also had shorter CSS time. SUMMARY AND OUTLOOK Several studies tested the usefulness of specific miRNAs to predict RCC recurrence. Some of them showed a fair accuracy and strong relationship between specific miRNA over or under-expression and survival outcomes. However, results from these studies are preliminary and miRNAs use in routine clinical practice is still far to come.
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Affiliation(s)
- Daniela Fasanella
- Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
| | - Alessio Antonaci
- Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
| | - Francesco Esperto
- Department of Urology, Campus Biomedico University of Rome, Rome, Italy
| | - Roberto M Scarpa
- Department of Urology, Campus Biomedico University of Rome, Rome, Italy
| | - Matteo Ferro
- Division of Urology, European Institute of Oncology-IRCCS, Milan, Italy
| | - Luigi Schips
- Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
| | - Michele Marchioni
- Department of Medical, Oral and Biotechnological Sciences, G. d'Annunzio University of Chieti, Urology Unit, SS Annunziata Hospital, Chieti, Italy
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Radovanović M, Džamić Z. Autophagy and renal cell carcinoma: What do we know so far? MEDICINSKI PODMLADAK 2021. [DOI: 10.5937/mp72-31557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
Abstract
Renal cell carcinoma (RCC) is the most common type of kidney tumor in adults, accounting for approximately 90% of kidney malignances, occurring usually between the ages of 60 and 70. The 5-year overall survival rate for all RCC types is 49%. Since RCCs are resistant to numeorus different radio and chemotherapeutics that act via apoptosis induction, the development of new approaches to RCC treatment is still in the focus of modern urology. In particular, in recent years, autophagy in RCC has been widely studied as a mechanism of cell extinction through which tumor cells can overcome resistance to apoptosis activation therapy. Autophagy is often referred to as a double-edged sword because it can be a process that allows cells of cancer to survive and, on the other hand and under other conditions, it can be a cell dying mechanism, independent or closely related to other cell death modalities, like apoptosis and necrosis. The central role in the tempering of the process of autophagy, in general, belongs to the mTOR complex (mammalian target of rapamycin), which integrates numerous signals that affect autophagy, such as growth factors, nutrients, various stressors and the energy status of the cell. In RCC, the most important is PI3K/AKT/mTOR signaling pathway, since activation of this signaling leads to survival of tumor cells through mTOR activation and thus, autophagy inhibition. Up to now, it was found that autophagy markers such as Beclin-1 and LC3-II can be considered as prognostic markers for RCC since the high level of Beclin-1 was detected in tissues and cells of RCC (A498 and ACHN cell lines) and that tumor cell mobility is promoted by the up-regulated expression of LC3. Therefore, a progress in RCC therapy can be expected from the development and synthesis of specific compounds targeting autophagy, as well as the therapy based on their combination.
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Wu Y, Wei X, Feng H, Hu B, Liu B, Luan Y, Ruan Y, Liu X, Liu Z, Wang S, Liu J, Wang T. An eleven metabolic gene signature-based prognostic model for clear cell renal cell carcinoma. Aging (Albany NY) 2020; 12:23165-23186. [PMID: 33221754 PMCID: PMC7746370 DOI: 10.18632/aging.104088] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 08/31/2020] [Indexed: 12/13/2022]
Abstract
In this study, we performed bioinformatics and statistical analyses to investigate the prognostic significance of metabolic genes in clear cell renal cell carcinoma (ccRCC) using the transcriptome data of 539 ccRCC and 72 normal renal tissues from TCGA database. We identified 79 upregulated and 45 downregulated (n=124) metabolic genes in ccRCC tissues. Eleven prognostic metabolic genes (NOS1, ALAD, ALDH3B2, ACADM, ITPKA, IMPDH1, SCD5, FADS2, ACHE, CA4, and HK3) were identified by further analysis. We then constructed an 11-metabolic gene signature-based prognostic risk score model and classified ccRCC patients into high- and low-risk groups. Overall survival (OS) among the high-risk ccRCC patients was significantly shorter than among the low-risk ccRCC patients. Receiver operating characteristic (ROC) curve analysis of the prognostic risk score model showed that the areas under the ROC curve for the 1-, 3-, and 5-year OS were 0.810, 0.738, and 0.771, respectively. Thus, our prognostic model showed favorable predictive power in the TCGA and E-MTAB-1980 ccRCC patient cohorts. We also established a nomogram based on these eleven metabolic genes and validated internally in the TCGA cohort, showing an accurate prediction for prognosis in ccRCC.
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Affiliation(s)
- Yue Wu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xian Wei
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Huan Feng
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Bintao Hu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Bo Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yang Luan
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yajun Ruan
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Xiaming Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Zhuo Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Shaogang Wang
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Jihong Liu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Tao Wang
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
- Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
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Patient-derived tumour models for personalized therapeutics in urological cancers. Nat Rev Urol 2020; 18:33-45. [PMID: 33173206 DOI: 10.1038/s41585-020-00389-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/06/2020] [Indexed: 12/24/2022]
Abstract
Preclinical knowledge of dysregulated pathways and potential biomarkers for urological cancers has undergone limited translation into the clinic. Moreover, the low approval rate of new anticancer drugs and the heterogeneous drug responses in patients indicate that current preclinical models do not always reflect the complexity of malignant disease. Patient-derived tumour models used in preclinical uro-oncology research include 3D culture systems, organotypic tissue slices and patient-derived xenograft models. Technological innovations have enabled major improvements in the capacity of these tumour models to reproduce the clinical complexity of urological cancers. Each type of patient-derived model has inherent advantages and limitations that can be exploited, either alone or in combination, to gather specific knowledge on clinical challenges and address unmet clinical needs. Nevertheless, few opportunities exist for patients with urological cancers to benefit from personalized therapeutic approaches. Clinical validation of experimental data is needed to facilitate the translation and implementation of preclinical knowledge into treatment decision making.
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Sebastià C, Corominas D, Musquera M, Paño B, Ajami T, Nicolau C. Active surveillance of small renal masses. Insights Imaging 2020; 11:63. [PMID: 32372194 PMCID: PMC7200970 DOI: 10.1186/s13244-020-00853-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 03/02/2020] [Indexed: 12/15/2022] Open
Abstract
Most renal masses incidentally detected by cross-sectional images are benign, being mainly cysts, and if they are malignant, they are indolent in nature with limited metastatic potential. Enhanced renal masses less than 4 cm in size are known as small renal masses (SRMs), and their growth rate (GR) and the possibility of developing metastasis are extremely low. Delayed intervention of SRMs by closed and routine imaging follow-up known as active surveillance (AS) is now an option according to urological guidelines. Radiologists have a key position in AS management of SRMs even unifocal and multifocal (sporadic or associated with genetic syndromes) and also in the follow-up of complex renal cysts by Bosniak cyst classification system. Radiologists play a key role in the AS of both unifocal and multifocal (sporadic or associated with genetic syndromes) SRMs as well as in the follow-up of complex renal cysts using the Bosniak cyst classification system. Indeed, radiologists must determine which patients with SRMs or complex renal cysts can be included in AS, establish the follow-up radiological test algorithm to be used in different scenarios, perform measurements in follow-up tests, and decide when AS should be discontinued. The purpose of this article is to review the indications and management of AS in SRMs, especially focused on specific scenarios, such as complex renal cysts and multifocal renal tumors (sporadic or hereditary). In this work, the authors aimed to provide a thorough review of imaging in the context of active surveillance of renal masses.
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Affiliation(s)
- Carmen Sebastià
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Daniel Corominas
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain.
| | - Mireia Musquera
- Urology Department, ICNU, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Blanca Paño
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Tarek Ajami
- Urology Department, ICNU, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
| | - Carlos Nicolau
- Radiology Department, CDIC, Hospital Clínic de Barcelona, C/Villaroel no. 170, 08036, Barcelona, Spain
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Altintas E, Kaynar M, Celik ZE, Celik M, Kilic O, Akand M, Goktas S. Expression of Ring Box-1 protein and its relationship with Fuhrman grade and other clinical-pathological parameters in renal cell cancer. Urol Oncol 2019; 38:6.e17-6.e22. [PMID: 31653562 DOI: 10.1016/j.urolonc.2019.09.019] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Revised: 09/17/2019] [Accepted: 09/22/2019] [Indexed: 10/25/2022]
Abstract
OBJECTIVE To determine the relationship between RING-box protein 1 (RBX-1) expression and renal cell carcinoma (RCC) with prognostic factors. METHODS A total of 88 patients who underwent radical/partial nephrectomy between January 2009 and January 2016 have been included in our study. The age, gender, tumor location, tumor size, and tumor-node-metastasis stage of each patient was evaluated. From the best sections in hematoxylin-eosin stained pathology preparations, tumor histological subtype, Fuhrman nuclear grade, lymphovascular invasion, renal artery/vein invasion, capsule invasion, perirenal fatty tissue invasion, and tumor grade were evaluated. Participants were divided into 2 groups according to Fuhrman grade. Fuhrman grades 1 to 2 comprised Group 1, and Fuhrman grades 3 to 4 comprised Group 2. An immunoreactivity scoring system was used to evaluate RBX-1 expression. RESULTS Upon examining all histological subtypes together, it was observed that RBX-1 expression was statistically higher in Group 2 compared to Group 1 (P < 0.008). Upon examining clear RCC cases, it was observed again that Group 2 had a higher RBX-1 expression than Group 1 (P < 0.009). RBX-1 expression was not associated with clinical-pathological parameters including tumor grade, lymphovascular invasion, capsule invasion, or perirenal invasion. CONCLUSION RBX-1 expression is closely associated with a highly important prognostic factor in RCC-Fuhrman grade-and it shows promise as a prognostic marker. Further studies are required to reveal the importance of RBX-1 in RCC prognosis and treatment.
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Affiliation(s)
- Emre Altintas
- Akcakale State Hospital, Department of Urology, Sanlıurfa, Turkey.
| | - Mehmet Kaynar
- Selcuk University, School of Medicine, Department of Urology, Konya, Turkey
| | - Z Esin Celik
- Selcuk University, School of Medicine, Department of Pathology, Konya, Turkey
| | - Murat Celik
- Kars Harakani State Hospital, Department of Pathology, Kars, Turkey
| | - Ozcan Kilic
- Selcuk University, School of Medicine, Department of Urology, Konya, Turkey
| | - Murat Akand
- Selcuk University, School of Medicine, Department of Urology, Konya, Turkey
| | - Serdar Goktas
- Selcuk University, School of Medicine, Department of Urology, Konya, Turkey
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Tsaur I, Hüsch T, Jüngel E, Schneider F, Schneider M, Haferkamp A, Thomas C, Lieb V, Wach S, Taubert H, Chun FKH, Blaheta RA. sE-cadherin is upregulated in serum of patients with renal cell carcinoma and promotes tumor cell dissemination in vitro. Urol Oncol 2019; 37:355.e1-355.e9. [PMID: 31005422 DOI: 10.1016/j.urolonc.2019.03.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 02/25/2019] [Accepted: 03/03/2019] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Cadherin family proteins are involved in the tumorigenesis of several malignancies. However, their significance in renal cell carcinoma (RCC) has not been extensively investigated. The current study investigates the potential of several cadherins to perform as biomarkers for tumor detection and exert functional RCC activity. METHODS Pre- and postoperative concentrations of sE-cadherin, cadherin-6, N-cadherin, cadherin-11, cadherin-17, and cadherin-5 were measured in serum of patients undergoing surgery for RCC and correlated to clinical and histopathological parameters. Control serum was obtained from healthy volunteers. A498 and Caki-1 cells were incubated with sE-cadherin and assessed for cell growth, adhesion, and chemotaxis. RESULTS sE-cadherin was significantly upregulated in RCC patients, as compared to controls, and discriminated them with striking accuracy (area under the curve value 0.83). Serum levels remained stable several days after surgery. Treating A498 and Caki-1 cancer cells with various concentrations of sE-cadherin attenuated cell growth and adhesion, while chemotaxis was augmented. CONCLUSIONS sE-cadherin is overexpressed in serum of RCC patients and provides a functional cellular switch from sessility to aggressive dissemination. While sE-cadherin is not tumor-specific and thus inappropriate for population-based screening, further studies are warranted to investigate its role in monitoring RCC and employing it as a therapeutic target.
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Affiliation(s)
- Igor Tsaur
- University Medical Center Mainz, Department of Urology and Pediatric Urology, Mainz, Germany; University Hospital Frankfurt, Department of Urology, Frankfurt, Germany
| | - Tanja Hüsch
- University Medical Center Mainz, Department of Urology and Pediatric Urology, Mainz, Germany; University Hospital Frankfurt, Department of Urology, Frankfurt, Germany.
| | - Eva Jüngel
- University Medical Center Mainz, Department of Urology and Pediatric Urology, Mainz, Germany
| | | | - Meike Schneider
- University Medical Center Mainz, Department of Urology and Pediatric Urology, Mainz, Germany
| | - Axel Haferkamp
- University Medical Center Mainz, Department of Urology and Pediatric Urology, Mainz, Germany
| | - Christian Thomas
- University Medical Center Mainz, Department of Urology and Pediatric Urology, Mainz, Germany
| | - Verena Lieb
- University Hospital Erlangen, Department of Urology and Pediatric Urology, Erlangen, Germany
| | - Sven Wach
- University Hospital Erlangen, Department of Urology and Pediatric Urology, Erlangen, Germany
| | - Helge Taubert
- University Hospital Erlangen, Department of Urology and Pediatric Urology, Erlangen, Germany
| | - Felix K-H Chun
- University Hospital Frankfurt, Department of Urology, Frankfurt, Germany
| | - Roman A Blaheta
- University Hospital Frankfurt, Department of Urology, Frankfurt, Germany
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20
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Histological (Sub)Classifications and Their Prognostic Impact in Renal Cell Carcinoma. Urol Oncol 2019. [DOI: 10.1007/978-3-319-42623-5_60] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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21
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Scelo G, Muller DC, Riboli E, Johansson M, Cross AJ, Vineis P, Tsilidis KK, Brennan P, Boeing H, Peeters PHM, Vermeulen RCH, Overvad K, Bueno-de-Mesquita HB, Severi G, Perduca V, Kvaskoff M, Trichopoulou A, La Vecchia C, Karakatsani A, Palli D, Sieri S, Panico S, Weiderpass E, Sandanger TM, Nøst TH, Agudo A, Quirós JR, Rodríguez-Barranco M, Chirlaque MD, Key TJ, Khanna P, Bonventre JV, Sabbisetti VS, Bhatt RS. KIM-1 as a Blood-Based Marker for Early Detection of Kidney Cancer: A Prospective Nested Case-Control Study. Clin Cancer Res 2018; 24:5594-5601. [PMID: 30037816 PMCID: PMC6239904 DOI: 10.1158/1078-0432.ccr-18-1496] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 06/19/2018] [Accepted: 07/13/2018] [Indexed: 12/12/2022]
Abstract
Purpose: Renal cell carcinoma (RCC) has the potential for cure with surgery when diagnosed at an early stage. Kidney injury molecule-1 (KIM-1) has been shown to be elevated in the plasma of RCC patients. We aimed to test whether plasma KIM-1 could represent a means of detecting RCC prior to clinical diagnosis.Experimental Design: KIM-1 concentrations were measured in prediagnostic plasma from 190 RCC cases and 190 controls nested within a population-based prospective cohort study. Cases had entered the cohort up to 5 years before diagnosis, and controls were matched on cases for date of birth, date at blood donation, sex, and country. We applied conditional logistic regression and flexible parametric survival models to evaluate the association between plasma KIM-1 concentrations and RCC risk and survival.Results: The incidence rate ratio (IRR) of RCC for a doubling in KIM-1 concentration was 1.71 [95% confidence interval (CI), 1.44-2.03, P = 4.1 × 10-23], corresponding to an IRR of 63.3 (95% CI, 16.2-246.9) comparing the 80th to the 20th percentiles of the KIM-1 distribution in this sample. Compared with a risk model including known risk factors of RCC (age, sex, country, body mass index, and tobacco smoking status), a risk model additionally including KIM-1 substantially improved discrimination between cases and controls (area under the receiver-operating characteristic curve of 0.8 compared with 0.7). High plasma KIM-1 concentrations were also associated with poorer survival (P = 0.0053).Conclusions: Plasma KIM-1 concentrations could predict RCC incidence up to 5 years prior to diagnosis and were associated with poorer survival. Clin Cancer Res; 24(22); 5594-601. ©2018 AACR.
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Affiliation(s)
- Ghislaine Scelo
- International Agency for Research on Cancer (IARC), Lyon, France
| | - David C Muller
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom.
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | | | - Amanda J Cross
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Petra H M Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, the Netherlands
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Denmark
| | - H Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, the Netherlands
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Gianluca Severi
- CESP, Faculté de Médecine, Université Paris-Sud, Faculté de médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | - Vittorio Perduca
- CESP, Faculté de Médecine, Université Paris-Sud, Faculté de médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
- Laboratoire de Mathématiques Appliquées MAP5 (UMR CNRS 8145), Université Paris Descartes, Paris, France
| | - Marina Kvaskoff
- CESP, Faculté de Médecine, Université Paris-Sud, Faculté de médecine, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France
- Gustave Roussy, Villejuif, France
| | | | - Carlo La Vecchia
- Hellenic Health Foundation, Athens, Greece
- Department of Clinical Sciences and Community Health Università degli Studi di Milano, Milan, Italy
| | - Anna Karakatsani
- Hellenic Health Foundation, Athens, Greece
- 2nd Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, Attikon University Hospital, Haidari, Greece
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Cancer Research and Prevention Institute, ISPO, Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Panico
- Dipartimento Di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Torkjel M Sandanger
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Therese H Nøst
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Institut Catatlà d'Oncologia, L'Hospitalet de Llobregat, Spain
| | | | - Miguel Rodríguez-Barranco
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA. Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Maria-Dolores Chirlaque
- CIBER in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford
| | - Prateek Khanna
- Department of Medicine, Division of Hematology and Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Joseph V Bonventre
- Brigham and Women's Hospital, Harvard Institutes of Medicine, Boston, Massachusetts
| | - Venkata S Sabbisetti
- Brigham and Women's Hospital, Harvard Institutes of Medicine, Boston, Massachusetts
| | - Rupal S Bhatt
- Department of Medicine, Division of Hematology and Oncology, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
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22
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Duskova K, Vesely S, DO Carmo Silva J, Cernei N, Zitka O, Heger Z, Adam V, Havlova K, Babjuk M. Differences in Urinary Amino Acid Patterns in Individuals with Different Types of Urological Tumor Urinary Amino Acid Patterns as Markers of Urological Tumors. ACTA ACUST UNITED AC 2018; 32:425-429. [PMID: 29475932 DOI: 10.21873/invivo.11257] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Revised: 01/09/2018] [Accepted: 01/10/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND Insufficient specificity and invasiveness of currently used diagnostic methods raises the need for new markers of urological tumors. The aim of this study was to find a link between the urinary excretion of amino acids and the presence of urological tumors. MATERIALS AND METHODS Using ion-exchange chromatography, we tested urine samples of patients with prostate cancer (n=30), urinary bladder cancer (n=28), renal cell carcinoma (n=16) and healthy volunteers (control group; n=21). RESULTS In each category, we found a group of amino acids which differed in concentration compared to the control group. These differences were most significant in sarcosine in patients with prostate cancer; leucine, phenylalanine and arginine in those with bladder cancer; and sarcosine, glutamic acid, glycine, tyrosine and arginine in the those with renal cell carcinoma. CONCLUSION Results of our research imply a possible connection between the occurrence of specific types of amino acids in the urine and the presence of urological tumors.
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Affiliation(s)
- Katerina Duskova
- Department of Urology, Second Faculty of Medicine, Charles University, and University Hospital Motol, Prague, Czech Republic
| | - Stepan Vesely
- Department of Urology, Second Faculty of Medicine, Charles University, and University Hospital Motol, Prague, Czech Republic
| | - Joana DO Carmo Silva
- Department of Urology, Second Faculty of Medicine, Charles University, and University Hospital Motol, Prague, Czech Republic
| | - Natalia Cernei
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.,Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
| | - Ondrej Zitka
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.,Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
| | - Zbynek Heger
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.,Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
| | - Vojtech Adam
- Central European Institute of Technology, Brno University of Technology, Brno, Czech Republic.,Department of Chemistry and Biochemistry, Mendel University in Brno, Brno, Czech Republic
| | - Klara Havlova
- Department of Urology, Second Faculty of Medicine, Charles University, and University Hospital Motol, Prague, Czech Republic
| | - Marek Babjuk
- Department of Urology, Second Faculty of Medicine, Charles University, and University Hospital Motol, Prague, Czech Republic
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23
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Mytsyk Y, Dosenko V, Skrzypczyk MA, Borys Y, Diychuk Y, Kucher A, Kowalskyy V, Pasichnyk S, Mytsyk O, Manyuk L. Potential clinical applications of microRNAs as biomarkers for renal cell carcinoma. Cent European J Urol 2018; 71:295-303. [PMID: 30386650 PMCID: PMC6202627 DOI: 10.5173/ceju.2018.1618] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 03/26/2018] [Accepted: 06/25/2018] [Indexed: 12/31/2022] Open
Abstract
Introduction Renal cell carcinoma (RCC) accounts for 3% of adult malignancies and more than 90% of kidney neoplasms. High rates of undiagnostic percutaneous kidney biopsies and difficulties in reliable pre-operative differentiation between malignant and benign renal tumors using contemporary imaging techniques result in large numbers of redundant surgeries. Absence of specific biomarkers for early detection and monitoring complicates on-time diagnosis of the disease and relapse. For the patients followed up after having a nephrectomy, a noninvasive and sensitive biomarker enabling early detection of disease relapse would be extremely useful. Material and methods The study is a review of recent knowledge regarding potential clinical applications of microRNAs (miRNAs) as biomarkers of RCC. Results MicroRNAs are essential regulators of various processes such as cell proliferation, differentiation, development and death; they have been implicated in diverse biological and pathological processes in RCC. There is a class of miRNAs that promote RCC development (oncomirs) and a class of miRNAs that negatively regulate oncogenes, suppress tumor growth and invasion, and thus could be considered treatment agents (anti-oncomirs). Separate miRNAs and specific miRNAs expression profiles have been identified, enabling early detection of the disease, prediction of response to systemic therapy, or prognostication of biological behavior of the disease. Conclusions The miRNA network analysis and gene profiling may help to identify the most sensible molecular signatures of RCC that can be used for diagnostic purposes, as well as poor prognosis signatures and poor therapeutic response signatures in patients who undergo systemic therapy.
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Affiliation(s)
- Yulian Mytsyk
- Department of Urology, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine
| | - Victor Dosenko
- General and Molecular Pathophysiology Department, Bogomoletz Institute of Physiology of National Academy of Sciences of Ukraine, Kiev, Ukraine
| | | | - Yuriy Borys
- Department of Urology, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine
| | - Yuriy Diychuk
- Department of Urology, Lviv State Regional Oncology Treatment and Diagnostic Center, Lviv, Ukraine
| | - Askold Kucher
- Department of Urology, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine
| | - Vasyl Kowalskyy
- Department of Urology, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine
| | - Serhyi Pasichnyk
- Department of Urology, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine
| | - Oleh Mytsyk
- Lviv Regional Bureau of Forensic Services, Lviv, Ukraine
| | - Lubov Manyuk
- Department of Foreign Languages, Danylo Halytsky Lviv National Medical University, Lviv, Ukraine
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24
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Selby PJ, Banks RE, Gregory W, Hewison J, Rosenberg W, Altman DG, Deeks JJ, McCabe C, Parkes J, Sturgeon C, Thompson D, Twiddy M, Bestall J, Bedlington J, Hale T, Dinnes J, Jones M, Lewington A, Messenger MP, Napp V, Sitch A, Tanwar S, Vasudev NS, Baxter P, Bell S, Cairns DA, Calder N, Corrigan N, Del Galdo F, Heudtlass P, Hornigold N, Hulme C, Hutchinson M, Lippiatt C, Livingstone T, Longo R, Potton M, Roberts S, Sim S, Trainor S, Welberry Smith M, Neuberger J, Thorburn D, Richardson P, Christie J, Sheerin N, McKane W, Gibbs P, Edwards A, Soomro N, Adeyoju A, Stewart GD, Hrouda D. Methods for the evaluation of biomarkers in patients with kidney and liver diseases: multicentre research programme including ELUCIDATE RCT. PROGRAMME GRANTS FOR APPLIED RESEARCH 2018. [DOI: 10.3310/pgfar06030] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BackgroundProtein biomarkers with associations with the activity and outcomes of diseases are being identified by modern proteomic technologies. They may be simple, accessible, cheap and safe tests that can inform diagnosis, prognosis, treatment selection, monitoring of disease activity and therapy and may substitute for complex, invasive and expensive tests. However, their potential is not yet being realised.Design and methodsThe study consisted of three workstreams to create a framework for research: workstream 1, methodology – to define current practice and explore methodology innovations for biomarkers for monitoring disease; workstream 2, clinical translation – to create a framework of research practice, high-quality samples and related clinical data to evaluate the validity and clinical utility of protein biomarkers; and workstream 3, the ELF to Uncover Cirrhosis as an Indication for Diagnosis and Action for Treatable Event (ELUCIDATE) randomised controlled trial (RCT) – an exemplar RCT of an established test, the ADVIA Centaur® Enhanced Liver Fibrosis (ELF) test (Siemens Healthcare Diagnostics Ltd, Camberley, UK) [consisting of a panel of three markers – (1) serum hyaluronic acid, (2) amino-terminal propeptide of type III procollagen and (3) tissue inhibitor of metalloproteinase 1], for liver cirrhosis to determine its impact on diagnostic timing and the management of cirrhosis and the process of care and improving outcomes.ResultsThe methodology workstream evaluated the quality of recommendations for using prostate-specific antigen to monitor patients, systematically reviewed RCTs of monitoring strategies and reviewed the monitoring biomarker literature and how monitoring can have an impact on outcomes. Simulation studies were conducted to evaluate monitoring and improve the merits of health care. The monitoring biomarker literature is modest and robust conclusions are infrequent. We recommend improvements in research practice. Patients strongly endorsed the need for robust and conclusive research in this area. The clinical translation workstream focused on analytical and clinical validity. Cohorts were established for renal cell carcinoma (RCC) and renal transplantation (RT), with samples and patient data from multiple centres, as a rapid-access resource to evaluate the validity of biomarkers. Candidate biomarkers for RCC and RT were identified from the literature and their quality was evaluated and selected biomarkers were prioritised. The duration of follow-up was a limitation but biomarkers were identified that may be taken forward for clinical utility. In the third workstream, the ELUCIDATE trial registered 1303 patients and randomised 878 patients out of a target of 1000. The trial started late and recruited slowly initially but ultimately recruited with good statistical power to answer the key questions. ELF monitoring altered the patient process of care and may show benefits from the early introduction of interventions with further follow-up. The ELUCIDATE trial was an ‘exemplar’ trial that has demonstrated the challenges of evaluating biomarker strategies in ‘end-to-end’ RCTs and will inform future study designs.ConclusionsThe limitations in the programme were principally that, during the collection and curation of the cohorts of patients with RCC and RT, the pace of discovery of new biomarkers in commercial and non-commercial research was slower than anticipated and so conclusive evaluations using the cohorts are few; however, access to the cohorts will be sustained for future new biomarkers. The ELUCIDATE trial was slow to start and recruit to, with a late surge of recruitment, and so final conclusions about the impact of the ELF test on long-term outcomes await further follow-up. The findings from the three workstreams were used to synthesise a strategy and framework for future biomarker evaluations incorporating innovations in study design, health economics and health informatics.Trial registrationCurrent Controlled Trials ISRCTN74815110, UKCRN ID 9954 and UKCRN ID 11930.FundingThis project was funded by the NIHR Programme Grants for Applied Research programme and will be published in full inProgramme Grants for Applied Research; Vol. 6, No. 3. See the NIHR Journals Library website for further project information.
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Affiliation(s)
- Peter J Selby
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Rosamonde E Banks
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Walter Gregory
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Jenny Hewison
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - William Rosenberg
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - Douglas G Altman
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Jonathan J Deeks
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Christopher McCabe
- Department of Emergency Medicine, University of Alberta Hospital, Edmonton, AB, Canada
| | - Julie Parkes
- Primary Care and Population Sciences Academic Unit, University of Southampton, Southampton, UK
| | | | | | - Maureen Twiddy
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Janine Bestall
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | | | - Tilly Hale
- LIVErNORTH Liver Patient Support, Newcastle upon Tyne, UK
| | - Jacqueline Dinnes
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Marc Jones
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | | | | | - Vicky Napp
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Alice Sitch
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Sudeep Tanwar
- Institute for Liver and Digestive Health, Division of Medicine, University College London, London, UK
| | - Naveen S Vasudev
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Paul Baxter
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - Sue Bell
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - David A Cairns
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | | | - Neil Corrigan
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Francesco Del Galdo
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Peter Heudtlass
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Nick Hornigold
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Claire Hulme
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Michelle Hutchinson
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Carys Lippiatt
- Department of Specialist Laboratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | | | - Roberta Longo
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Matthew Potton
- Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK
| | - Stephanie Roberts
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Sheryl Sim
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Sebastian Trainor
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Matthew Welberry Smith
- Clinical and Biomedical Proteomics Group, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
- Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - James Neuberger
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | | | - Paul Richardson
- Royal Liverpool and Broadgreen University Hospitals NHS Trust, Liverpool, UK
| | - John Christie
- Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Neil Sheerin
- Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - William McKane
- Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - Paul Gibbs
- Portsmouth Hospitals NHS Trust, Portsmouth, UK
| | | | - Naeem Soomro
- Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | | | - Grant D Stewart
- NHS Lothian, Edinburgh, UK
- Academic Urology Group, University of Cambridge, Cambridge, UK
| | - David Hrouda
- Charing Cross Hospital, Imperial College Healthcare NHS Trust, London, UK
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25
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Kassouf W, Monteiro LL, Drachenberg DE, Fairey AS, Finelli A, Kapoor A, Lattouf JB, Leveridge MJ, Power NE, Pouliot F, Rendon RA, Sabbagh R, So AI, Tanguay S, Breau RH. Canadian Urological Association guideline for followup of patients after treatment of non-metastatic renal cell carcinoma. Can Urol Assoc J 2018; 12:231-238. [PMID: 30139427 DOI: 10.5489/cuaj.5462] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Wassim Kassouf
- Division of Urology, McGill University Health Centre, Montreal, QC, Canada
| | | | | | - Adrian S Fairey
- Division of Urology, University of Alberta, Edmonton, AB, Canada
| | - Antonio Finelli
- Division of Urology, University of Toronto, Toronto, ON, Canada
| | - Anil Kapoor
- Division of Urology, McMaster University, Hamilton, ON, Canada
| | | | | | | | | | - Ricardo A Rendon
- Department of Urology, Dalhousie University, Halifax, NS, Canada
| | - Robert Sabbagh
- Division of Urology, University of Sherbrooke, Sherbrooke, QC, Canada
| | - Alan I So
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Simon Tanguay
- Division of Urology, McGill University Health Centre, Montreal, QC, Canada
| | - Rodney H Breau
- Division of Urology, University of Ottawa, Ottawa, ON, Canada
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26
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Prognostic factors and prognostic models for renal cell carcinoma: a literature review. World J Urol 2018; 36:1943-1952. [PMID: 29713755 DOI: 10.1007/s00345-018-2309-4] [Citation(s) in RCA: 160] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 04/24/2018] [Indexed: 01/02/2023] Open
Abstract
PURPOSE Following curative treatment for localised renal cell carcinoma (RCC), up to 30% of patients develop tumour recurrence. Prognostic scores are essential to guide individualised surveillance protocols, patient counselling and potentially in the future to guide adjuvant therapy. In metastatic RCC, prognostic scores are routinely used for treatment selection in clinical practice as well as in all major trials. METHODS We performed a literature review on the current evidence based on prognostic factors and models for localised and metastatic RCC. RESULTS A number of prognostic factors have been identified, of which tumour node metastasis classification remains the most important. Multiple prognostic models and nomograms have been developed for localised disease, based on a combination of tumour stage, grade, subtype, clinical features, and performance status. However, there is poor level of evidence for their routine use. Prognostic scores for patients with metastatic RCC receiving targeted treatments are used routinely, but have limited accuracy. Molecular markers can improve the accuracy of established prognostic models, but frequently lack external, independent validation. CONCLUSION Several factors and models predict prognosis of localised and metastatic RCC. They represent valuable tools to provide estimates of clinically important endpoints, but their accuracy should be improved further. Validation of molecular markers is a future research priority.
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27
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MicroRNA-15a expression measured in urine samples as a potential biomarker of renal cell carcinoma. Int Urol Nephrol 2018; 50:851-859. [DOI: 10.1007/s11255-018-1841-x] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 03/07/2018] [Indexed: 01/18/2023]
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28
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Guo S, He X, Chen Q, Yang G, Yao K, Dong P, Ye Y, Chen D, Zhang Z, Qin Z, Liu Z, Xue Y, Zhang M, Liu R, Zhou F, Han H. The C-reactive protein/albumin ratio, a validated prognostic score, predicts outcome of surgical renal cell carcinoma patients. BMC Cancer 2017; 17:171. [PMID: 28264659 PMCID: PMC5339967 DOI: 10.1186/s12885-017-3119-6] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2016] [Accepted: 02/07/2017] [Indexed: 01/23/2023] Open
Abstract
BACKGROUND The preoperative C-reactive protein/Albumin (CRP/Alb) ratio has been shown to be valuable in predicting the prognosis of patients with certain cancers. The aim of our study is to explore its prognostic value in patients with renal cell carcinoma (RCC). METHODS A retrospective study was performed in 570 RCC patients underwent radical or partial nephrectomy including 541 patients who received full resection of localized (T1-3 N0/+ M0) RCC. The optimal cutoff value of CRP/Alb was determined by the receive operating characteristic (ROC) analysis. The impact of the CRP/Alb and other clinicopathological characteristics on overall survival (OS) and disease-free survival (DFS) was evaluated using the univariate and multivariate Cox regression analysis. RESULTS The optimal cutoff of CRP/Alb ratio was set at 0.08 according to the ROC analysis. Multivariate analysis indicated that CRP/Alb ratio was independently associated with OS of RCC patients underwent radical or partial nephrectomy (hazard ratio [HR]: 1.94; 95% confidence interval [95% CI]: 1.12-3.36; P = 0.018), and DFS of localized RCC patients underwent full resection (HR: 2.14; 95% CI: 1.22-3.75; P = 0.008). CONCLUSION Elevated CRP/Alb ratio was an independent prognostic indicator for poor OS in patients underwent radical or partial nephrectomy and DFS of localized RCC patients underwent full resection. Overall, CRP/Alb may help to identify patients with high relapse risk.
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Affiliation(s)
- Shengjie Guo
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Xiaobo He
- grid.452859.7Department of Medical Oncology, the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Qian Chen
- 0000 0001 2360 039Xgrid.12981.33Xinhua college of Sun Yat-Sen University, Guangzhou, China
| | - Guangwei Yang
- grid.452859.7Department of Medical Oncology, the Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China
| | - Kai Yao
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Pei Dong
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Yunlin Ye
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Dong Chen
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Zhiling Zhang
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Zike Qin
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Zhuowei Liu
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Yunfei Xue
- 0000 0001 2360 039Xgrid.12981.33Medicine school of Sun Yat-Sen University, Guangzhou, China
| | - Meng Zhang
- 0000 0001 2360 039Xgrid.12981.33Medicine school of Sun Yat-Sen University, Guangzhou, China
| | - Ruiwu Liu
- 0000 0004 1936 9684grid.27860.3bDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA USA
| | - Fangjian Zhou
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
| | - Hui Han
- Department of Urology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, Guangdong 510060 People’s Republic of China
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Offermann A, Kuempers C, Perner S. Histological (Sub)Classifications and Their Prognostic Impact in Renal Cell Carcinoma. Urol Oncol 2017. [DOI: 10.1007/978-3-319-42603-7_60-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Chinello C, L'imperio V, Stella M, Smith AJ, Bovo G, Grasso A, Grasso M, Raimondo F, Pitto M, Pagni F, Magni F. The proteomic landscape of renal tumors. Expert Rev Proteomics 2016; 13:1103-1120. [PMID: 27748142 DOI: 10.1080/14789450.2016.1248415] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Renal cell carcinoma (RCC) is the most fatal of the common urologic cancers, with approximately 35% of patients dying within 5 years following diagnosis. Therefore, there is a need for non-invasive markers that are capable of detecting and determining the severity of small renal masses at an early stage in order to tailor treatment and follow-up. Proteomic studies have proved to be very useful in the study of tumors. Areas covered: In this review, we will detail the current knowledge obtained by the different proteomic approaches, focusing on MS-based strategies, used to investigate RCC biology in order to identify diagnostic, prognostic and predictive biomarkers on tissue, cultured cells and biological fluids. Expert commentary: Currently, no reliable biomarkers or targets for RCC have been translated into the clinical setting. Moreover, despite the efforts of proteomics and other -omics disciplines, only a small number of them have been observed as shared targets between the different analytical platforms and biological specimens. The difficulty to define a specific molecular pattern for RCC and its subtypes highlights a peculiar profile and a heterogeneity that must be taken into account in future studies.
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Affiliation(s)
- Clizia Chinello
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
| | - Vincenzo L'imperio
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
| | - Martina Stella
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
| | - Andrew James Smith
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
| | - Giorgio Bovo
- b Pathology unit , San Gerardo Hospital , Monza , Italy
| | - Angelica Grasso
- c Department of Specialistic Surgical Sciences, Urology unit , Ospedale Maggiore Policlinico Foundation , Milano , Italy
| | - Marco Grasso
- d Department of Urology , San Gerardo Hospital , Monza , Italy
| | - Francesca Raimondo
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
| | - Marina Pitto
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
| | - Fabio Pagni
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
| | - Fulvio Magni
- a Department of Medicine and Surgery , University Milan Bicocca , Monza , Italy
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Navrátil V, Schimer J, Tykvart J, Knedlík T, Vik V, Majer P, Konvalinka J, Šácha P. DNA-linked Inhibitor Antibody Assay (DIANA) for sensitive and selective enzyme detection and inhibitor screening. Nucleic Acids Res 2016; 45:e10. [PMID: 27679479 PMCID: PMC5314793 DOI: 10.1093/nar/gkw853] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 09/06/2016] [Accepted: 09/15/2016] [Indexed: 12/29/2022] Open
Abstract
Human diseases are often diagnosed by determining levels of relevant enzymes and treated by enzyme inhibitors. We describe an assay suitable for both ultrasensitive enzyme quantification and quantitative inhibitor screening with unpurified enzymes. In the DNA-linked Inhibitor ANtibody Assay (DIANA), the target enzyme is captured by an immobilized antibody, probed with a small-molecule inhibitor attached to a reporter DNA and detected by quantitative PCR. We validate the approach using the putative cancer markers prostate-specific membrane antigen and carbonic anhydrase IX. We show that DIANA has a linear range of up to six logs and it selectively detects zeptomoles of targets in complex biological samples. DIANA's wide dynamic range permits determination of target enzyme inhibition constants using a single inhibitor concentration. DIANA also enables quantitative screening of small-molecule enzyme inhibitors using microliters of human blood serum containing picograms of target enzyme. DIANA's performance characteristics make it a superior tool for disease detection and drug discovery.
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Affiliation(s)
- Václav Navrátil
- Gilead Sciences and IOCB Research Centre, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, 166 10, Czech Republic .,Department of Biochemistry, Faculty of Science, Charles University in Prague, Prague, 128 43, Czech Republic
| | - Jiří Schimer
- Gilead Sciences and IOCB Research Centre, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, 166 10, Czech Republic.,Department of Biochemistry, Faculty of Science, Charles University in Prague, Prague, 128 43, Czech Republic
| | - Jan Tykvart
- Gilead Sciences and IOCB Research Centre, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, 166 10, Czech Republic.,Department of Biochemistry, Faculty of Science, Charles University in Prague, Prague, 128 43, Czech Republic
| | - Tomáš Knedlík
- Gilead Sciences and IOCB Research Centre, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, 166 10, Czech Republic.,Department of Biochemistry, Faculty of Science, Charles University in Prague, Prague, 128 43, Czech Republic
| | - Viktor Vik
- Department of Urology, Thomayer Hospital in Prague, Prague, 140 59, Czech Republic
| | - Pavel Majer
- Gilead Sciences and IOCB Research Centre, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, 166 10, Czech Republic
| | - Jan Konvalinka
- Gilead Sciences and IOCB Research Centre, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, 166 10, Czech Republic .,Department of Biochemistry, Faculty of Science, Charles University in Prague, Prague, 128 43, Czech Republic
| | - Pavel Šácha
- Gilead Sciences and IOCB Research Centre, Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Prague, 166 10, Czech Republic .,Department of Biochemistry, Faculty of Science, Charles University in Prague, Prague, 128 43, Czech Republic
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Melve GK, Ersvaer E, Akkök ÇA, Ahmed AB, Kristoffersen EK, Hervig T, Bruserud Ø. Immunomodulation Induced by Stem Cell Mobilization and Harvesting in Healthy Donors: Increased Systemic Osteopontin Levels after Treatment with Granulocyte Colony-Stimulating Factor. Int J Mol Sci 2016; 17:ijms17071158. [PMID: 27447610 PMCID: PMC4964530 DOI: 10.3390/ijms17071158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2016] [Revised: 06/25/2016] [Accepted: 07/11/2016] [Indexed: 12/13/2022] Open
Abstract
Peripheral blood stem cells from healthy donors mobilized by granulocyte colony-stimulating factor (G-CSF) and harvested by leukapheresis are commonly used for allogeneic stem cell transplantation. The frequency of severe graft versus host disease is similar for patients receiving peripheral blood and bone marrow allografts, even though the blood grafts contain more T cells, indicating mobilization-related immunoregulatory effects. The regulatory phosphoprotein osteopontin was quantified in plasma samples from healthy donors before G-CSF treatment, after four days of treatment immediately before and after leukapheresis, and 18–24 h after apheresis. Myeloma patients received chemotherapy, combined with G-CSF, for stem cell mobilization and plasma samples were prepared immediately before, immediately after, and 18–24 h after leukapheresis. G-CSF treatment of healthy stem cell donors increased plasma osteopontin levels, and a further increase was seen immediately after leukapheresis. The pre-apheresis levels were also increased in myeloma patients compared to healthy individuals. Finally, in vivo G-CSF exposure did not alter T cell expression of osteopontin ligand CD44, and in vitro osteopontin exposure induced only small increases in anti-CD3- and anti-CD28-stimulated T cell proliferation. G-CSF treatment, followed by leukapheresis, can increase systemic osteopontin levels, and this effect may contribute to the immunomodulatory effects of G-CSF treatment.
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Affiliation(s)
- Guro Kristin Melve
- Department of Immunology and Transfusion Medicine, Haukeland University Hospital, N-5021 Bergen, Norway.
- Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway.
| | - Elisabeth Ersvaer
- Department of Biomedical Laboratory Sciences and Chemical Engineering, Faculty of Engineering and Business Administration, Bergen University College, N-5020 Bergen, Norway.
| | - Çiğdem Akalın Akkök
- Department of Immunology and Transfusion Medicine, Oslo University Hospital, Ullevål, N-0424 Oslo, Norway.
| | - Aymen Bushra Ahmed
- Division for Hematology, Department of Medicine, Haukeland University Hospital, N-5021 Bergen, Norway.
| | - Einar K Kristoffersen
- Department of Immunology and Transfusion Medicine, Haukeland University Hospital, N-5021 Bergen, Norway.
- Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway.
| | - Tor Hervig
- Department of Immunology and Transfusion Medicine, Haukeland University Hospital, N-5021 Bergen, Norway.
- Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway.
| | - Øystein Bruserud
- Department of Clinical Science, University of Bergen, N-5020 Bergen, Norway.
- Division for Hematology, Department of Medicine, Haukeland University Hospital, N-5021 Bergen, Norway.
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Parker WP, Cheville JC, Frank I, Zaid HB, Lohse CM, Boorjian SA, Leibovich BC, Thompson RH. Application of the Stage, Size, Grade, and Necrosis (SSIGN) Score for Clear Cell Renal Cell Carcinoma in Contemporary Patients. Eur Urol 2016; 71:665-673. [PMID: 27287995 DOI: 10.1016/j.eururo.2016.05.034] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 05/25/2016] [Indexed: 01/15/2023]
Abstract
BACKGROUND The tumor stage, size, grade, and necrosis (SSIGN) score was originally defined using patients treated with radical nephrectomy (RN) between 1970 and 1998 for clear cell renal cell carcinoma (ccRCC), excluding patients treated with partial nephrectomy (PN). OBJECTIVE To characterize the original SSIGN score cohort with longer follow-up and evaluate a contemporary series of patients treated with RN and PN. DESIGN, SETTING, AND PARTICIPANTS Retrospective single-institution review of 3600 consecutive surgically treated ccRCC patients grouped into three cohorts: original RN, contemporary (1999-2010) RN, and contemporary PN. INTERVENTION RN or PN. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The association of the SSIGN score with risk of death from RCC was assessed using a Cox proportional hazards regression model, and predictive ability was summarized with a C-index. RESULTS AND LIMITATIONS The SSIGN scores differed significantly between the original RN, contemporary RN, and contemporary PN cohorts (p<0.001), with SSIGN ≥4 in 53.5%, 62.7%, and 4.7%, respectively (p<0.001). The median durations of follow-up for these groups were 20.1, 9.2, and 7.6 yr, respectively. Each increase in the SSIGN score was predictive of death from RCC (hazard ratios [HRs]: 1.41 for original RN, 1.37 for contemporary RN, and 1.70 for contemporary PN; all p<0.001). The C-indexes for these models were 0.82, 0.84, and 0.82 for original RN, contemporary RN, and contemporary PN, respectively. After accounting for an era-specific improvement in survival among RN patients (HR: 0.53 for contemporary vs original RN; p<0.001), the SSIGN score remained predictive of death from RCC (HR: 1.40; p<0.001). CONCLUSIONS The SSIGN score remains a useful prediction tool for patients undergoing RN with 20-yr follow-up. When applied to contemporary RN and PN patients, the score retained strong predictive ability. These results should assist in patient counseling and help guide surveillance for ccRCC patients treated with RN or PN. PATIENT SUMMARY We evaluated the validity of a previously described tool to predict survival following surgery in contemporary patients with kidney cancer. We found that this tool remains valid even when extended to patients significantly different than were initially used to create the tool.
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Affiliation(s)
| | | | - Igor Frank
- Department of Urology, Mayo Clinic, Rochester, MN, USA
| | - Harras B Zaid
- Department of Urology, Mayo Clinic, Rochester, MN, USA
| | - Christine M Lohse
- Department of Health Services Research, Mayo Clinic, Rochester, MN, USA
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Quiroga Matamoros W, Fernandez F, Citarella Otero D, Rangel J, Estrada Guerrero A, Patiño ID. Guía de manejo del carcinoma de células renales. Rev Urol 2016. [DOI: 10.1016/j.uroco.2016.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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35
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Vidlickova I, Dequiedt F, Jelenska L, Sedlakova O, Pastorek M, Stuchlik S, Pastorek J, Zatovicova M, Pastorekova S. Apoptosis-induced ectodomain shedding of hypoxia-regulated carbonic anhydrase IX from tumor cells: a double-edged response to chemotherapy. BMC Cancer 2016; 16:239. [PMID: 26993100 PMCID: PMC4799595 DOI: 10.1186/s12885-016-2267-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Accepted: 03/10/2016] [Indexed: 12/19/2022] Open
Abstract
Background Carbonic anhydrase IX (CA IX) is a tumor-associated, highly active, transmembrane carbonic anhydrase isoform regulated by hypoxia and implicated in pH control and adhesion-migration-invasion. CA IX ectodomain (ECD) is shed from the tumor cell surface to serum/plasma of patients, where it can signify cancer prognosis. We previously showed that the CA IX ECD release is mediated by disintegrin and metalloproteinase ADAM17. Here we investigated the CA IX ECD shedding in tumor cells undergoing apoptosis in response to cytotoxic drugs, including cycloheximide and doxorubicin. Methods Presence of cell surface CA IX was correlated to the extent of apoptosis by flow cytometry in cell lines with natural or ectopic CA IX expression. CA IX ECD level was assessed by ELISA using CA IX-specific monoclonal antibodies. Effect of recombinant CA IX ECD on the activation of molecular pathways was evaluated using the cell-based dual-luciferase reporter assay. Results We found a significantly lower occurrence of apoptosis in the CA IX-positive cell subpopulation than in the CA IX-negative one. We also demonstrated that the cell-surface CA IX level dropped during the death progress due to an increased ECD shedding, which required a functional ADAM17. Inhibitors of metalloproteinases reduced CA IX ECD shedding, but not apoptosis. The CA IX ECD release induced by cytotoxic drugs was connected to elevated expression of CA IX in the surviving fraction of cells. Moreover, an externally added recombinant CA IX ECD activated a pathway driven by the Nanog transcription factor implicated in epithelial-mesenchymal transition and stemness. Conclusions These findings imply that the increased level of the circulating CA IX ECD might be useful as an indicator of an effective antitumor chemotherapy. Conversely, elevated CA IX ECD might generate unwanted effects through autocrine/paracrine signaling potentially contributing to resistance and tumor progression.
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Affiliation(s)
- Ivana Vidlickova
- Department of Molecular Medicine, Institute of Virology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovak Republic.,Department of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
| | - Franck Dequiedt
- Cellular and Molecular Biology Unit, Gembloux Agro-Bio Tech, University of Liege, Liege, Belgium
| | - Lenka Jelenska
- Department of Molecular Medicine, Institute of Virology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovak Republic
| | - Olga Sedlakova
- Department of Molecular Medicine, Institute of Virology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovak Republic
| | - Michal Pastorek
- Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Stanislav Stuchlik
- Department of Molecular Biology, Faculty of Natural Sciences, Comenius University in Bratislava, Bratislava, Slovakia
| | - Jaromir Pastorek
- Department of Molecular Medicine, Institute of Virology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovak Republic
| | - Miriam Zatovicova
- Department of Molecular Medicine, Institute of Virology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovak Republic
| | - Silvia Pastorekova
- Department of Molecular Medicine, Institute of Virology, Biomedical Research Center, Slovak Academy of Sciences, Dubravska cesta 9, 845 05, Bratislava, Slovak Republic. .,Regional Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
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Shrotriya S, Walsh D, Bennani-Baiti N, Thomas S, Lorton C. C-Reactive Protein Is an Important Biomarker for Prognosis Tumor Recurrence and Treatment Response in Adult Solid Tumors: A Systematic Review. PLoS One 2015; 10:e0143080. [PMID: 26717416 PMCID: PMC4705106 DOI: 10.1371/journal.pone.0143080] [Citation(s) in RCA: 174] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Accepted: 10/30/2015] [Indexed: 12/14/2022] Open
Abstract
PURPOSE A systematic literature review was done to determine the relationship between elevated CRP and prognosis in people with solid tumors. C-reactive protein (CRP) is a serum acute phase reactant and a well-established inflammatory marker. We also examined the role of CRP to predict treatment response and tumor recurrence. METHODS MeSH (Medical Subject Heading) terms were used to search multiple electronic databases (PubMed, EMBASE, Web of Science, SCOPUS, EBM-Cochrane). Two independent reviewers selected research papers. We also included a quality Assessment (QA) score. Reports with QA scores <50% were excluded. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) methodology was utilized for this review (S1 PRISMA Checklist). RESULTS 271 articles were identified for final review. There were 45% prospective studies and 52% retrospective. 264 had intermediate QA score (≥50% but <80%); Seven were adequate (80% -100%); A high CRP was predictive of prognosis in 90% (245/271) of studies-80% of the 245 studies by multivariate analysis, 20% by univariate analysis. Many (52%) of the articles were about gastrointestinal malignancies (GI) or kidney malignancies. A high CRP was prognostic in 90% (127 of 141) of the reports in those groups of tumors. CRP was also prognostic in most reports in other solid tumors primary sites. CONCLUSIONS A high CRP was associated with higher mortality in 90% of reports in people with solid tumors primary sites. This was particularly notable in GI malignancies and kidney malignancies. In other solid tumors (lung, pancreas, hepatocellular cancer, and bladder) an elevated CRP also predicted prognosis. In addition there is also evidence to support the use of CRP to help decide treatment response and identify tumor recurrence. Better designed large scale studies should be conducted to examine these issues more comprehensively.
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Affiliation(s)
- Shiva Shrotriya
- Department of Solid Tumor Oncology, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
- The Harry R. Horvitz Center for Palliative Medicine, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
| | - Declan Walsh
- Department of Solid Tumor Oncology, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
- The Harry R. Horvitz Center for Palliative Medicine, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
- * E-mail:
| | - Nabila Bennani-Baiti
- Department of Solid Tumor Oncology, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
- The Harry R. Horvitz Center for Palliative Medicine, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
| | - Shirley Thomas
- Department of Solid Tumor Oncology, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
- The Harry R. Horvitz Center for Palliative Medicine, The Cleveland Clinic Taussig Cancer Institute, Cleveland, Ohio, United States of America
| | - Cliona Lorton
- Our Lady’s Hospice & Care Services, Harold’s Cross, Dublin, Ireland
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Wu Q, Yang L, Liu H, Zhang W, Le X, Xu J. Elevated Expression of N-Acetylgalactosaminyltransferase 10 Predicts Poor Survival and Early Recurrence of Patients with Clear-Cell Renal Cell Carcinoma. Ann Surg Oncol 2015; 22:2446-53. [PMID: 25391266 DOI: 10.1245/s10434-014-4236-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Indexed: 08/30/2023]
Abstract
PURPOSE The aim of this study was to evaluate the potential prognostic significance of N-acetylgalactosaminyltransferase 10 (GALNT10) in patients with clear-cell renal cell carcinoma (ccRCC) after surgical resection. METHODS We retrospectively enrolled 271 patients (202 in the training cohort and 69 in the validation cohort) with ccRCC undergoing nephrectomy at a single institution. Clinicopathologic features, overall survival (OS), and recurrence-free survival (RFS) were recorded. GALNT10 intensities were assessed by immunohistochemistry in the specimens of patients. The Kaplan-Meier method was applied to compare survival curves. Cox regression models were used to analyze the impact of prognostic factors on OS and RFS. Concordance index (C-index) was calculated to assess predictive accuracy. RESULTS In both cohorts, elevated GALNT10 expression in tumor tissues positively correlated with advanced TNM stage. High GALNT10 expression indicated poor survival and early recurrence of patients with ccRCC, particularly with early-stage disease. After backward elimination, GALNT10 expression was identified as an independent adverse prognostic factor for survival and recurrence. The predictive accuracy of TNM, University of California Los Angeles Integrated Staging System, and stage, size, grade, and necrosis prognostic models was improved when GALNT10 expression was added. CONCLUSIONS GALNT10 expression is a potential independent adverse prognostic biomarker for recurrence and survival of patients with ccRCC after nephrectomy.
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Affiliation(s)
- Qian Wu
- Key Laboratory of Glycoconjugate Research, Ministry of Health, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, China
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Do preoperative serum C-reactive protein levels predict the definitive pathological stage in patients with clinically localized prostate cancer? Int Urol Nephrol 2015; 47:765-70. [DOI: 10.1007/s11255-015-0952-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Accepted: 03/09/2015] [Indexed: 12/14/2022]
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Czarnecka AM, Kukwa W, Kornakiewicz A, Lian F, Szczylik C. Clinical and molecular prognostic and predictive biomarkers in clear cell renal cell cancer. Future Oncol 2014; 10:2493-508. [DOI: 10.2217/fon.14.162] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
ABSTRACT The natural history of clear cell renal cell cancer is highly unpredictable with various progressors and with populations where small renal masses may be accompanied by metastatic disease. Currently, there is a critical need to determine patient risk and optimize treatment regimes. For these patients, molecular markers may offer significant information in terms of prognostic and predictive values, as well as determination of valid therapeutic targets. Until now, only a few of the many identified clear cell renal cell cancer biomarkers have been clinically validated in large cohorts. And only several biomarkers are integrated in predictive or prognostic models. Therefore, a large cohesive effort is required to advance the field of clear cell renal cell cancer prognostic biomarkers through systematic discovery, verification, validation and clinical implementation.
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Affiliation(s)
- Anna M Czarnecka
- Department of Oncology with Laboratory of Molecular Oncology, Military Institute of Medicine, 04-141 Warsaw, Poland
| | - Wojciech Kukwa
- Department of Otolaryngology, Czerniakowski Hospital, Medical University of Warsaw, Warsaw, Poland
| | - Anna Kornakiewicz
- Department of Oncology with Laboratory of Molecular Oncology, Military Institute of Medicine, 04-141 Warsaw, Poland
- Postgraduate School of Molecular Medicine, Medical University of Warsaw, Warsaw, Poland
| | - Fei Lian
- Department of Urology, Emory School of Medicine, Atlanta, GA, USA
| | - Cezary Szczylik
- Department of Oncology with Laboratory of Molecular Oncology, Military Institute of Medicine, 04-141 Warsaw, Poland
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40
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Zhao Z, Liao G, Li Y, Zhou S, Zou H, Fernando S. Prognostic value of carbonic anhydrase IX immunohistochemical expression in renal cell carcinoma: a meta-analysis of the literature. PLoS One 2014; 9:e114096. [PMID: 25426861 PMCID: PMC4245260 DOI: 10.1371/journal.pone.0114096] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Accepted: 10/30/2014] [Indexed: 11/29/2022] Open
Abstract
Background Carbonic anhydrase IX (CAIX) protein has been correlated with progression and survival in patients with renal cell carcinoma (RCC). The prognostic value of CAIX in RCC however, remains inconclusive according to published works. This study aimed to analyze CAIX as a biological marker to predict RCC patient prognosis. Methods A literature search of the PubMed and Web of Knowledge databases was performed to retrieve original studies from their inception to December of 2013. Fifteen studies, collectively including a total of 2611 patients with renal cell carcinoma, were carefully reviewed. Standard meta-analysis methods were applied to evaluate the prognostic impact of CAIX expression on patient prognosis. The hazard ratio (HR) and its 95% confidence interval (CI) were recorded for the relationship between CAIX expression and survival, and the data were analyzed using Review Manager 5.2 software and Stata software 11.0. Results In patients with RCC, low CAIX expression was associated with poor disease-specific survival (HR = 1.89, 95% CI: 1.20–2.98, P = 0.006), unfavorable progression-free survival (HR = 2.62, 95% CI: 1.14–6.05, P = 0.02) and worse overall survival (HR = 2.03, 95% CI: 1.28–3.21, P = 0.002). Furthermore, low CAIX expression was significantly associated with the presence of lymph node metastases (odds ratio (OR) = 0.31, 95% CI = 0.15–0.62, P = 0.0009) and distant metastases (OR = 0.66, 95% CI = 0.46–0.96, P = 0.03) and predicted a higher tumor grade (OR = 0.41, 95% CI = 0.31–0.54, P<0.00001). Conclusions Low CAIX expression most likely indicates poor prognosis in RCC patients. Moreover, low CAIX expression was significantly associated with unfavorable clinicopathological factors. To strengthen our findings, further well-designed prospective studies should be conducted to investigate the role of CAIX expression in RCC.
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Affiliation(s)
- Zhihong Zhao
- Institution of Urology and Nephrology, The third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Guixiang Liao
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yongqiang Li
- Institution of Urology and Nephrology, The third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Shulu Zhou
- Institution of Urology and Nephrology, The third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Hequn Zou
- Institution of Urology and Nephrology, The third Affiliated Hospital of Southern Medical University, Guangzhou, China
- * E-mail:
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Kramer MW, Heinisch A, Wegener G, Abbas M, von Klot C, Peters I, Tezval H, Herrmann TR, Kuczyk MA, Merseburger AS. [C-reactive protein prior to radical cystectomy: preoperative determination of CRP]. Urologe A 2014; 53:222-7. [PMID: 23955283 DOI: 10.1007/s00120-013-3299-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Numerous studies have shown a positive correlation between elevated C-reactive protein (CRP) and systemic spread of malignancies. The goal of the current study was to assess the predictive significance of preoperative CRP in patients undergoing radical cystectomy (RC). MATERIAL AND METHODS Preoperative CRP values were measured in 194 patients undergoing RC because of urothelial carcinoma between 1996 and 2005. Elevated CRP level was defined as ≥ 5 mg/l. RESULTS Preoperative increased CRP values were detected in 89 (45.9%) patients and these patients were more likely to have advanced tumor stages (pT3-4), positive resection margins and positive lymph nodes. Advanced urinary diversions were more common in patients with normal CRP values. In multivariate analysis, CRP was identified as an independent prognostic indicator for poor cancer-specific survival. CONCLUSION The results confirm previous reports that showed a prognostic significance of preoperative CRP elevation.
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Affiliation(s)
- M W Kramer
- Klinik für Urologie und Urologische Onkologie, Medizinische Hochschule Hannover, Carl-Neuberg-Straße 1, 30625, Hannover, Deutschland
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The prognostic value of osteopontin expression in non-small cell lung cancer: a meta-analysis. J Mol Histol 2014; 45:533-40. [PMID: 24816798 DOI: 10.1007/s10735-014-9574-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Accepted: 04/22/2014] [Indexed: 01/12/2023]
Abstract
To investigate the association of Osteopontin (OPN) expression in tumor tissue with clinicopathological features of non-small cell lung carcinoma (NSCLC) patients. Publications assessing the clinicopathological characteristics and prognostic significance of OPN in expression NSCLC were identified up to March 2014. A meta-analysis of eligible studies was performed using standard statistical methods to clarify the association between OPN expression and these clinical parameters. A total of eleven studies met the inclusion criteria, and included 1536 cases of NSCLC tumor tissue and 340 cases of normal lung tissue. The OPN expression rate in NSCLC tissue was higher than normal tissue [Odds ratio (OR) 6.427; 95% confidence interval (CI) 4.689-8.808; P = 0.000]. Simultaneously, we also found that OPN expression was positively associated with stage (OR 0.332; 95% CI 0.250-0.440; P = 0.000), lymph node metastasis (OR 3.094; 95% CI 2.295-4.172; P = 0.000), tumor size (tumor size <3 cm vs. ≥3 cm; OR 0.484; 95% CI 0.303-0.773; P = 0.002) and pathology (OR 0.611; 95% CI 0.466-0.800; P = 0.000). It was unrelated that OPN expression in NSCLC tissue with and degree of differentiation and other clinical features (P > 0.05). Experimental findings indicate that, OPN plays a crucial role in the development of NSCLC.
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Dai J, Tang K, Xiao W, Yu G, Zeng J, Li W, Zhang YQ, Xu H, Chen ZQ, Ye ZQ. Prognostic Significance of C-reactive Protein in Urological Cancers: a Systematic Review and Meta-analysis. Asian Pac J Cancer Prev 2014; 15:3369-75. [DOI: 10.7314/apjcp.2014.15.8.3369] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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Al Ghazal A, Steffens S, Steinestel J, Lehmann R, Schnoeller TJ, Schulte-Hostede A, Wegener G, Jentzmik F, Schrader M, Kuczyk MA, Schrader AJ. Elevated C-reactive protein values predict nodal metastasis in patients with penile cancer. BMC Urol 2013; 13:53. [PMID: 24148787 PMCID: PMC4016472 DOI: 10.1186/1471-2490-13-53] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Accepted: 10/15/2013] [Indexed: 11/26/2022] Open
Abstract
Background The nodal status is a strong predictor for cancer specific death in patients with penile carcinoma, and the C-reactive protein (CRP) level at diagnosis has recently been shown to be associated with poor clinical outcome in various solid malignancies. Therefore, this retrospective study was performed to evaluate the association between preoperative CRP levels and the incidence of nodal metastasis in patients with squamous cell carcinoma (SCC) of the penis. Methods The analysis included 51 penile cancer patients who underwent either radical or partial penectomy for pT1-4 penile cancer between 1990 and 2010. The nodal status was correlated with patient and tumor specific characteristics. Results Sixteen (31%) patients had lymph node metastasis at the time of penile cancer surgery. Nodal status was associated with tumor stage but did not correlate significantly with tumor grade. In contrast, high presurgical CRP levels were significantly associated with the diagnosis of nodal involvement (p = 0.04). The optimal CRP cut-off value to predict lymph node metastasis was set at 20 mg/l based on ROC analysis. Conclusions Since a high preoperative serum CRP level was closely correlated with nodal disease, it could be used as an additional marker to help identify patients with penile cancer who may benefit from inguinal lymph node dissection.
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Affiliation(s)
| | - Sandra Steffens
- Department of Urology, Hannover Medical School, Carl-Neuberg-Str, 1, D-30625 Hannover, Germany.
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FILIA A, ELLIOTT F, WIND T, FIELD S, DAVIES J, KUKALIZCH K, RANDERSON-MOOR J, HARLAND M, BISHOP D, BANKS R, NEWTON-BISHOP J. Plasma osteopontin concentrations in patients with cutaneous melanoma. Oncol Rep 2013; 30:1575-80. [PMID: 23934016 PMCID: PMC3810214 DOI: 10.3892/or.2013.2666] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2013] [Accepted: 06/14/2013] [Indexed: 12/18/2022] Open
Abstract
An effective circulating tumour marker is needed for melanoma especially with the advent of targeted therapies. Gene expression studies examining primary melanomas have shown that increased expression of osteopontin (SPP1) is associated with poor prognosis. Studies subsequently reported higher blood levels in melanoma patients with metastatic disease than those without. This study was designed to determine whether osteopontin plasma concentrations in disease-free patients after initial treatment predict survival. An enzyme-linked immunosorbent assay (ELISA) was used to measure osteopontin levels in stored plasma samples (N=215) from participants in the Leeds Melanoma Cohort. AJCC stage at sampling was statistically significant associated with osteopontin levels (p=0.03). Participants with untreated stage IV disease at sampling (n=10) had higher median osteopontin levels compared to those with treated stage I-III disease (n=158) (p<0.001) confirming previous findings. There was a trend for increased risk of death with increasing osteopontin levels but this was not statistically significant. If a level of 103.14 ng/ml (95th centile of healthy controls) was taken as the upper end of the normal range then 2.5% of patients with treated stage I-III (4/110), 17.6% of patients with untreated stage III (3/17) and 30% of patients with untreated stage IV disease (3/10) had higher levels. These findings suggest that plasma osteopontin levels warrant investigation as a tumour marker in a larger study in which the significance of change in levels over time should be studied in relation to detectable disease recurrence.
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Affiliation(s)
- A. FILIA
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - F. ELLIOTT
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - T. WIND
- Section of Oncology and Clinical Research, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - S. FIELD
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - J. DAVIES
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - K. KUKALIZCH
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - J. RANDERSON-MOOR
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - M. HARLAND
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - D.T. BISHOP
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - R.E. BANKS
- Section of Oncology and Clinical Research, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
| | - J.A. NEWTON-BISHOP
- Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, St. James’s University Hospital, Leeds LS9 7TF, UK
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Abstract
Breast cancer is now the most frequently diagnosed cancer and leading cause of cancer death in women worldwide. Strategies targeting the primary tumour have markedly improved, but systemic treatments to prevent metastasis are less effective; metastatic disease remains the underlying cause of death in the majority of patients with breast cancer who succumb to their disease. The long latency period between initial treatment and eventual recurrence in some patients suggests that a tumour may both alter and respond to the host systemic environment to facilitate and sustain disease progression. Results from studies in animal models suggest that specific subtypes of breast cancer may direct metastasis through recruitment and activation of haematopoietic cells. In this review, we focus on data implicating breast cancer as a systemic disease.
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Affiliation(s)
- A J Redig
- Division of Hematology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
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Steffens S, Al Ghazal A, Steinestel J, Lehmann R, Wegener G, Schnoeller TJ, Cronauer MV, Jentzmik F, Schrader M, Kuczyk MA, Schrader AJ. High CRP values predict poor survival in patients with penile cancer. BMC Cancer 2013; 13:223. [PMID: 23642165 PMCID: PMC3649950 DOI: 10.1186/1471-2407-13-223] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2012] [Accepted: 04/25/2013] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND High levels of circulating C-reactive protein (CRP) have recently been linked to poor clinical outcome in various malignancies. The aim of this study was to evaluate the prognostic significance of the preoperative serum CRP level in patients with squamous cell carcinoma (SCC) of the penis. METHODS This retrospective analysis included 79 penile cancer patients with information about their serum CRP value prior to surgery who underwent either radical or partial penectomy at two German high-volume centers (Ulm University Medical Center and Hannover Medical School) between 1990 and 2010. They had a median (mean) follow-up of 23 (32) months. RESULTS A significantly elevated CRP level (>15 vs. ≤ 15 mg/l) was found more often in patients with an advanced tumor stage (≥pT2) (38.9 vs. 11.6%, p=0.007) and in those with nodal disease at diagnosis (50.0 vs. 14.6%, p=0.007). However, high CRP levels were not associated with tumor differentiation (p=0.53). The Kaplan-Meier 5-year cancer-specific survival (CSS) rate was 38.9% for patients with preoperative CRP levels above 15 mg/l and 84.3% for those with lower levels (p=0.001). Applying multivariate analysis and focusing on the subgroup of patients without metastasis at the time of penile surgery, both advanced local tumor stage (≥pT2; HR 8.8, p=0.041) and an elevated CRP value (>15 mg/l; HR 3.3, p=0.043) were identified as independent predictors of poor clinical outcome in patients with penile cancer. CONCLUSIONS A high preoperative serum CRP level was associated with poor survival in patients with penile cancer. If larger patient populations confirm its prognostic value, its routine use could enable better risk stratification and risk-adjusted follow-up of patients with SCC of the penis.
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Affiliation(s)
- Sandra Steffens
- Department of Urology, Hannover Medical School, Hannover, Germany
| | - Andreas Al Ghazal
- Department of Urology, Ulm University Medical Center, Pritzwitzstrasse 43, Ulm, D-89075, Germany
| | - Julie Steinestel
- Department of Urology, Ulm University Medical Center, Pritzwitzstrasse 43, Ulm, D-89075, Germany
| | - Rieke Lehmann
- Department of Urology, Hannover Medical School, Hannover, Germany
| | - Gerd Wegener
- Cancer Center, Hannover Medical School, Hannover, Germany
| | - Thomas J Schnoeller
- Department of Urology, Ulm University Medical Center, Pritzwitzstrasse 43, Ulm, D-89075, Germany
| | - Marcus V Cronauer
- Department of Urology, Ulm University Medical Center, Pritzwitzstrasse 43, Ulm, D-89075, Germany
| | - Florian Jentzmik
- Department of Urology, Ulm University Medical Center, Pritzwitzstrasse 43, Ulm, D-89075, Germany
| | - Mark Schrader
- Department of Urology, Ulm University Medical Center, Pritzwitzstrasse 43, Ulm, D-89075, Germany
| | - Markus A Kuczyk
- Department of Urology, Hannover Medical School, Hannover, Germany
| | - Andres J Schrader
- Department of Urology, Ulm University Medical Center, Pritzwitzstrasse 43, Ulm, D-89075, Germany
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Wood SL, Knowles MA, Thompson D, Selby PJ, Banks RE. Proteomic studies of urinary biomarkers for prostate, bladder and kidney cancers. Nat Rev Urol 2013; 10:206-18. [PMID: 23443013 DOI: 10.1038/nrurol.2013.24] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Urine is an ideal body fluid for the detection of protein markers produced by urological cancers as it can be sampled noninvasively and contains secreted and directly shed proteins from the prostate, bladder and kidney. Major challenges of working with urine include high inter-individual and intra-individual variability, low protein concentration, the presence of salts and the dynamic range of protein expression. Despite these challenges, significant progress is being made using modern proteomic methods to identify and characterize protein-based markers for urological cancers. The development of robust, easy-to-use clinical tests based on novel biomarkers has the potential to impact upon diagnosis, prognosis and monitoring and could revolutionize the treatment and management of these cancers.
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Affiliation(s)
- Steven L Wood
- Wolfson Molecular Imaging Centre, 27 Palatine Road, Withington, Manchester M20 3LJ, UK.
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