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Xu W, Gaborieau V, Niman SM, Mukeria A, Liu X, Maremanda KP, Takakura A, Zaridze D, Freedman ML, Xie W, McDermott DF, Choueiri TK, Catalano PJ, Sabbisetti V, Bonventre JV, Pierorazio PM, Singla N, Brennan P, Bhatt RS. Plasma Kidney Injury Molecule-1 for Preoperative Prediction of Renal Cell Carcinoma Versus Benign Renal Masses, and Association With Clinical Outcomes. J Clin Oncol 2024; 42:2691-2701. [PMID: 38701382 DOI: 10.1200/jco.23.00699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 11/17/2023] [Accepted: 02/20/2024] [Indexed: 05/05/2024] Open
Abstract
PURPOSE Both clear cell and papillary renal cell carcinomas (RCCs) overexpress kidney injury molecule-1 (KIM-1). We investigated whether plasma KIM-1 (pKIM-1) may be a useful risk stratification tool among patients with suspicious renal masses. METHODS Prenephrectomy pKIM-1 was measured in two independent cohorts of patients with renal masses. Cohort 1, from the prospective K2 trial, included 162 patients found to have clear cell RCC (cases) and 162 patients with benign renal masses (controls). Cohort 2 included 247 patients with small (cT1a) renal masses from an academic biorepository, of whom 184 had RCC. We assessed the relationship between pKIM-1, surgical pathology, and clinical outcomes. RESULTS In Cohort 1, pKIM-1 distinguished RCC versus benign masses with area under the receiver operating curve (AUC-ROC, 0.81 [95% CI, 0.76 to 0.86]). In Cohort 2 (cT1a only), pKIM-1 distinguished RCC versus benign masses (AUC-ROC, 0.74 [95% CI, 0.67 to 0.80]) and the addition of pKIM-1 to an established nomogram for predicting malignancy improved the model AUC-ROC (0.65 [95% CI, 0.57 to 0.74] v 0.78 [95% CI, 0.72 to 0.85]). A pKIM-1 cutpoint identified using Cohort 2 demonstrated sensitivity of 92.5% and specificity of 60% for identifying RCC in Cohort 1. In long-term follow-up of RCC cases (Cohort 1), higher prenephrectomy pKIM-1 was associated with worse metastasis-free survival (multivariable MFS hazard ratio [HR] 1.29 per unit increase in log pKIM-1, 95% CI, 1.10 to 1.53) and overall survival (multivariable OS HR 1.31 per unit increase in log pKIM-1, 95% CI, 1.10 to 1.54). In long-term follow-up of Cohort 2, no metastatic events occurred, consistent with the favorable prognosis of resected cT1a RCC. CONCLUSION Among patients with renal masses, pKIM-1 is associated with malignant pathology, worse MFS, and risk of death. pKIM-1 may be useful for selecting patients with renal masses for intervention versus surveillance.
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Affiliation(s)
- Wenxin Xu
- Dana-Farber Cancer Institute, Boston, MA
| | | | | | - Anush Mukeria
- N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Xiaowen Liu
- Beth Israel Deaconess Medical Center, Boston, MA
| | | | | | - David Zaridze
- N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | | | | | | | | | | | | | | | | | - Nirmish Singla
- Brady Urological Institute, Johns Hopkins University, Baltimore, MD
| | - Paul Brennan
- International Agency for Research on Cancer, Lyon, France
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Tutunea-Fatan E, Arumugarajah S, Suri RS, Edgar CR, Hon I, Dikeakos JD, Gunaratnam L. Sensing Dying Cells in Health and Disease: The Importance of Kidney Injury Molecule-1. J Am Soc Nephrol 2024; 35:795-808. [PMID: 38353655 PMCID: PMC11164124 DOI: 10.1681/asn.0000000000000334] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2024] Open
Abstract
Kidney injury molecule-1 (KIM-1), also known as T-cell Ig and mucin domain-1 (TIM-1), is a widely recognized biomarker for AKI, but its biological function is less appreciated. KIM-1/TIM-1 belongs to the T-cell Ig and mucin domain family of conserved transmembrane proteins, which bear the characteristic six-cysteine Ig-like variable domain. The latter enables binding of KIM-1/TIM-1 to its natural ligand, phosphatidylserine, expressed on the surface of apoptotic cells and necrotic cells. KIM-1/TIM-1 is expressed in a variety of tissues and plays fundamental roles in regulating sterile inflammation and adaptive immune responses. In the kidney, KIM-1 is upregulated on injured renal proximal tubule cells, which transforms them into phagocytes for clearance of dying cells and helps to dampen sterile inflammation. TIM-1, expressed in T cells, B cells, and natural killer T cells, is essential for cell activation and immune regulatory functions in the host. Functional polymorphisms in the gene for KIM-1/TIM-1, HAVCR1 , have been associated with susceptibility to immunoinflammatory conditions and hepatitis A virus-induced liver failure, which is thought to be due to a differential ability of KIM-1/TIM-1 variants to bind phosphatidylserine. This review will summarize the role of KIM-1/TIM-1 in health and disease and its potential clinical applications as a biomarker and therapeutic target in humans.
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Affiliation(s)
- Elena Tutunea-Fatan
- Matthew Mailing Centre for Translational Transplant Studies, Lawson Health Research Institute, London Health Sciences Centre, London, Ontario, Canada
| | - Shabitha Arumugarajah
- Matthew Mailing Centre for Translational Transplant Studies, Lawson Health Research Institute, London Health Sciences Centre, London, Ontario, Canada
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Rita S. Suri
- Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
- Division of Nephrology, Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Cassandra R. Edgar
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Ingrid Hon
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Jimmy D. Dikeakos
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Lakshman Gunaratnam
- Matthew Mailing Centre for Translational Transplant Studies, Lawson Health Research Institute, London Health Sciences Centre, London, Ontario, Canada
- Department of Microbiology and Immunology, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Division of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
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Cao J, Qing J, Zhu L, Chen Z. Role of TIM-1 in the development and treatment of tumours. Front Cell Dev Biol 2024; 12:1307806. [PMID: 38831760 PMCID: PMC11144867 DOI: 10.3389/fcell.2024.1307806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 05/06/2024] [Indexed: 06/05/2024] Open
Abstract
T-cell immunoglobulin and mucin structural domain 1 (TIM-1, also known as hepatitis A virus cell receptor 1) is a co-stimulatory molecule that is expressed predominantly on the surface of T cells. TIM-1 promotes the activation and proliferation of T cells, cytokine secretion, and can also be overexpressed in various types of cancer. Upregulation of TIM-1 expression may be associated with the development and progression of cancer. After reviewing the literature, we propose that TIM-1 affects tumour development mainly through two pathways. In the Direct pathway: overexpression in tumours activates tumour-related signaling pathways, mediates the proliferation, apoptosis, invasion and metastasis, and directly affects tumour development directly. In the indirect pathway: In addition to changing the tumour microenvironment and influencing the growth of tumours, TIM-1 binds to ligands to encourage the activation, proliferation, and generation of cytokines by immune cells. This review examines how TIM-1 stimulates the development of tumours in direct and indirect ways, and how TIM-1 is exploited as a target for cancer therapy.
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Affiliation(s)
- Jinmeng Cao
- Joint Inspection Center of Precision Medicine, The People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
- School of Clinical Medicine, Guilin Medical University, Guilin, Guangxi, China
| | - Jilin Qing
- Center for Reproductive Medicine and Genetics, The People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
| | - Liya Zhu
- Graduate school, Guangxi University of Chinese Medicine, Nanning, Guangxi, China
| | - Zhizhong Chen
- Joint Inspection Center of Precision Medicine, The People’s Hospital of Guangxi Zhuang Autonomous Region and Guangxi Academy of Medical Sciences, Nanning, Guangxi, China
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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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Rossi SH, Harrison H, Usher-Smith JA, Stewart GD. Risk-stratified screening for the early detection of kidney cancer. Surgeon 2024; 22:e69-e78. [PMID: 37993323 DOI: 10.1016/j.surge.2023.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/22/2023] [Accepted: 10/30/2023] [Indexed: 11/24/2023]
Abstract
Earlier detection and screening for kidney cancer has been identified as a key research priority, however the low prevalence of the disease in unselected populations limits the cost-effectiveness of screening. Risk-stratified screening for kidney cancer may improve early detection by targeting high-risk individuals whilst limiting harms in low-risk individuals, potentially increasing the cost-effectiveness of screening. A number of models have been identified which estimate kidney cancer risk based on both phenotypic and genetic data, and while several of the former have been shown to identify individuals at high-risk of developing kidney cancer with reasonable accuracy, current evidence does not support including a genetic component. Combined screening for lung cancer and kidney cancer has been proposed, as the two malignancies share some common risk factors. A modelling study estimated that using lung cancer risk models (currently used for risk-stratified lung cancer screening) could capture 25% of patients with kidney cancer, which is only slightly lower than using the best performing kidney cancer-specific risk models based on phenotypic data (27%-33%). Additionally, risk-stratified screening for kidney cancer has been shown to be acceptable to the public. The following review summarises existing evidence regarding risk-stratified screening for kidney cancer, highlighting the risks and benefits, as well as exploring the management of potential harms and further research needs.
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Affiliation(s)
- Sabrina H Rossi
- Department of Surgery, University of Cambridge, Cambridge, UK.
| | - Hannah Harrison
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Juliet A Usher-Smith
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Grant D Stewart
- Department of Surgery, University of Cambridge, Cambridge, UK
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6
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Mahalingam VD, Chaib OS, Kanaan HD, Hafron JM, Zhang PL. Clear cell renal cell carcinoma cells show diffuse expression of phagocytotic markers through the identification of lysosome-rich eosinophilic granules. Int Urol Nephrol 2024; 56:467-473. [PMID: 37777637 DOI: 10.1007/s11255-023-03809-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 09/12/2023] [Indexed: 10/02/2023]
Abstract
BACKGROUND Paneth cell-like granules (PCLG) in clear cell renal cell carcinomas (RCC) have previously been reported but were not found to express neuroendocrine markers. This study was to investigate if the eosinophilic granules (so called PCLG) were enlarged lysosomes. METHODS A retrospective review of 72 different renal tumors was conducted which included 42 clear cell RCC, 16 papillary RCC, 6 chromophobe RCC, 5 clear cell papillary RCC, 2 urothelial carcinomas and 1 unclassified RCC. All tumors were evaluated for the eosinophilic granules on hematoxylin and eosin-stained sections. In addition, PAS-D staining, immunohistochemical stains, and electron microscopy were performed. RESULTS The eosinophilic granules were found in 19% (8 out of 42) clear cell RCC, but not in the other renal tumor types. The granules stained positively for PAS-D and were also positive for lysosomal protein markers CD68 and lysozyme. Electron microscopy revealed that the eosinophilic granules were smooth ball-shaped structures in the cytoplasm, ranging in size from 0.8 to 1.4 µm. The overall findings indicate that the eosinophilic granules were best correlated with lysosomes. CONCLUSIONS The eosinophilic granules in clear cell RCC are expanded lysosomes, and this may be used as a unique feature for confirming the pathologic diagnosis of clear cell RCC. The findings further support the view that clear cell RCC have phagocytic capacity due to their containing abundant lysosomes in the cytoplasm.
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Affiliation(s)
| | - Oumaima S Chaib
- Department of Pathology, Corewell Health East, Royal Oak, MI, 48073, USA
| | - Hassan D Kanaan
- Department of Pathology, Corewell Health East, Royal Oak, MI, 48073, USA
| | - Jason M Hafron
- Department of Urology, Corewell Health East, Royal Oak, MI, USA
| | - Ping L Zhang
- Department of Pathology, Corewell Health East, Royal Oak, MI, 48073, USA.
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Bolek H, Ürün Y. Adjuvant therapy for renal cell carcinoma: A systematic review of current landscape and future directions. Crit Rev Oncol Hematol 2023; 192:104144. [PMID: 37748694 DOI: 10.1016/j.critrevonc.2023.104144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 09/11/2023] [Accepted: 09/21/2023] [Indexed: 09/27/2023] Open
Abstract
The advent of tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) has been transformative for the treatment of advanced renal cell carcinoma (RCC). Their efficacy post-surgical resection remains a contentious point. Various phase 3 RCTs have assessed their potency. Amongst evaluated agents, sunitinib and pembrolizumab have demonstrated notable disease-free survival benefits. Sunitinib's potential is diminished due to absence of clear overall survival (OS) benefits and side-effect profile. Pembrolizumab shows better tolerance, conclusive OS data are forthcoming. This scenario underscores the pressing need for advanced risk stratification methods and discovery of novel biomarkers. Existing strategies, largely pre-dating TKI and ICI therapeutic era, lack sufficient accuracy in predicting relapse-risk. Our review offers a comprehensive analysis of key phase 3 RCTs, focusing on TKIs, mTOR-inhibitors, and ICIs for adjuvant RCC treatment. The intent is to shed light on the intricate landscape of RCC treatment, guiding future research directions for optimizing patient outcomes.
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Affiliation(s)
- Hatice Bolek
- Department of Medical Oncology, Ankara University School of Medicine, Ankara, Turkey; Ankara University Cancer Research Institute, Ankara, Turkey.
| | - Yüksel Ürün
- Department of Medical Oncology, Ankara University School of Medicine, Ankara, Turkey; Ankara University Cancer Research Institute, Ankara, Turkey.
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Campi R, Rebez G, Klatte T, Roussel E, Ouizad I, Ingels A, Pavan N, Kara O, Erdem S, Bertolo R, Capitanio U, Mir MC. Effect of smoking, hypertension and lifestyle factors on kidney cancer - perspectives for prevention and screening programmes. Nat Rev Urol 2023; 20:669-681. [PMID: 37328546 DOI: 10.1038/s41585-023-00781-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 06/18/2023]
Abstract
Renal cell carcinoma (RCC) incidence has doubled over the past few decades. However, death rates have remained stable as the number of incidental renal mass diagnoses peaked. RCC has been recognized as a European health care issue, but to date, no screening programmes have been introduced. Well-known modifiable risk factors for RCC are smoking, obesity and hypertension. A direct association between cigarette consumption and increased RCC incidence and RCC-related death has been reported, but the underlying mechanistic pathways for this association are still unclear. Obesity is associated with an increased risk of RCC, but interestingly, improved survival outcomes have been reported in obese patients, a phenomenon known as the obesity paradox. Data on the association between other modifiable risk factors such as diet, dyslipidaemia and physical activity with RCC incidence are conflicting, and potential mechanisms underlying these associations remain to be elucidated.
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Affiliation(s)
- Riccardo Campi
- Department of Urology, University of Florence, Careggi Hospital, Florence, Italy
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
| | - Giacomo Rebez
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, Cattinara Hospital, University of Trieste, Trieste, Italy
| | - Tobias Klatte
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Eduard Roussel
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, KU Leuven, Leuven, Belgium
| | - Idir Ouizad
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, Bichat-Claude Bernard Hospital, Paris, France
| | - Alexander Ingels
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, Henri Mondor Hospital, Créteil, France
| | - Nicola Pavan
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, Cattinara Hospital, University of Trieste, Trieste, Italy
| | - Onder Kara
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Faculty of Medicine, Kocaeli University, İzmit, Turkey
| | - Selcuk Erdem
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, Istanbul University, Istanbul, Turkey
| | - Riccardo Bertolo
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Urology Unit, Department of Surgery, Tor Vergata University of Rome, Rome, Italy
| | - Umberto Capitanio
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands
- Department of Urology, San Raffaele Scientific Institute, Milan, Italy
- Division of Experimental Oncology/Unit of Urology, IRCCS San Raffaele Hospital, Milan, Italy
| | - Maria Carmen Mir
- Young Academic Urologists (YAU) Renal Cancer Working Group, Arnhem, Netherlands.
- Department of Urology, Hospital Universitario La Ribera, Valencia, Spain.
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Alcala K, Zahed H, Cortez Cardoso Penha R, Alcala N, Robbins HA, Smith-Byrne K, Martin RM, Muller DC, Brennan P, Johansson M. Kidney Function and Risk of Renal Cell Carcinoma. Cancer Epidemiol Biomarkers Prev 2023; 32:1644-1650. [PMID: 37668600 PMCID: PMC10618735 DOI: 10.1158/1055-9965.epi-23-0558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 07/13/2023] [Accepted: 08/31/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND We evaluated the temporal association between kidney function, assessed by estimated glomerular filtration rate (eGFR), and the risk of incident renal cell carcinoma (RCC). We also evaluated whether eGFR could improve RCC risk discrimination beyond established risk factors. METHODS We analyzed the UK Biobank cohort, including 463,178 participants of whom 1,447 were diagnosed with RCC during 5,696,963 person-years of follow-up. We evaluated the temporal association between eGFR and RCC risk using flexible parametric survival models, adjusted for C-reactive protein and RCC risk factors. eGFR was calculated from creatinine and cystatin C levels. RESULTS Lower eGFR, an indication of poor kidney function, was associated with higher RCC risk when measured up to 5 years prior to diagnosis. The RCC HR per SD decrease in eGFR when measured 1 year before diagnosis was 1.26 [95% confidence interval (95% CI), 1.16-1.37], and 1.11 (95% CI, 1.05-1.17) when measured 5 years before diagnosis. Adding eGFR to the RCC risk model provided a small improvement in risk discrimination 1 year before diagnosis with an AUC of 0.73 (95% CI, 0.67-0.84) compared with the published model (0.69; 95% CI, 0.63-0.79). CONCLUSIONS This study demonstrated that kidney function markers are associated with RCC risk, but the nature of these associations are consistent with reversed causality. Markers of kidney function provided limited improvements in RCC risk discrimination beyond established risk factors. IMPACT eGFR may be of potential use to identify individuals in the extremes of the risk distribution.
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Affiliation(s)
- Karine Alcala
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Hana Zahed
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | | | - Nicolas Alcala
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Hilary A. Robbins
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Karl Smith-Byrne
- Cancer Epidemiology Unit, Oxford Population Health, University of Oxford, Oxford, United Kingdom
| | - Richard M. Martin
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, United Kingdom
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | | | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
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The Continuing Question of Adjuvant Therapy in Clear Cell Renal Cell Carcinoma. Cancers (Basel) 2022; 14:cancers14246018. [PMID: 36551504 PMCID: PMC9776072 DOI: 10.3390/cancers14246018] [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: 10/17/2022] [Revised: 11/29/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
Treatment advances in kidney cancer continually evolve. The focus of treatment options continues with oral vascular endothelial growth factor receptor (VEGFR) tyrosine kinase inhibitors (TKIs) or intravenous immune checkpoint inhibitors (ICIs). Multiple trials exploring the role of adjuvant treatment after cytoreductive nephrectomy in high-risk clear cell renal cell carcinoma are currently ongoing. The discovery of biomarkers may help determine which patients benefit from these treatments, but these are not yet available outside clinical studies. Trials with combination therapies are also ongoing, especially using novel therapies with new mechanisms of action, and will hopefully provide more clues on proper patient and therapy selection in the adjuvant setting.
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11
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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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Bai X, Lin J, Wu X, Lin Y, Zhao X, Du W, Gao J, Hu Z, Xu Q, Li T, Yu Y. Label-free detection of bladder cancer and kidney cancer plasma based on SERS and multivariate statistical algorithm. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 279:121336. [PMID: 35605419 DOI: 10.1016/j.saa.2022.121336] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/03/2022] [Accepted: 04/28/2022] [Indexed: 06/15/2023]
Abstract
In this study, we mainly aimed to investigate the diagnostic potential of surface-enhanced Raman spectroscopy for bladder cancer and kidney cancer which are the most common cancers of the urinary system, and evaluate the classification ability of three statistical algorithms: principal component analysis-linear discriminate analysis (PCA-LDA), partial least square-random forest (PLS-RF), and partial least square-support vector machine (PLS-SVM). The plasma of 26 bladder cancer patients, 38 kidney cancer patients and 39 normal subjects was mixed with the same volume of silver nanoparticles, respectively, and then high-quality SERS signal was obtained. The SERS spectra in the range of 400-1800 cm-1 were compared and analyzed. There were some significant differences in SERS peak intensity, which may reflect the changes in the content of some biomacromolecules in the plasma of cancer patients. Based on the three algorithms of PCA-LDA, PLS-RF and PLS-SVM, the classification accuracy of SERS spectra of plasma from cancer patients and normal subjects was 98.1%, 100% and 100%, respectively. In addition, the classification accuracy of the three diagnostic algorithms to classify the SERS spectra of bladder cancer and kidney cancer was 81.3%, 91.7%, and 98.4%, respectively. This exploratory work demonstrates that SERS combined with PLS-SVM algorithm has superior performance for clinical screening of bladder cancer and kidney cancer through peripheral plasma.
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Affiliation(s)
- Xin Bai
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, and Affiliated Hospital, Fujian Normal University, Fuzhou, China
| | - Juqiang Lin
- School of opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China.
| | - Xiang Wu
- Provincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China; Department of Urology, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Yamin Lin
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, and Affiliated Hospital, Fujian Normal University, Fuzhou, China
| | - Xin Zhao
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, and Affiliated Hospital, Fujian Normal University, Fuzhou, China
| | - Weiwei Du
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, and Affiliated Hospital, Fujian Normal University, Fuzhou, China
| | - Jiamin Gao
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, and Affiliated Hospital, Fujian Normal University, Fuzhou, China
| | - Zeqin Hu
- MOE Key Laboratory of OptoElectronic Science and Technology for Medicine, and Affiliated Hospital, Fujian Normal University, Fuzhou, China
| | - Qingjiang Xu
- Provincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China; Department of Urology, Fujian Provincial Hospital, Fuzhou, 350001, China
| | - Tao Li
- Provincial Clinical Medical College of Fujian Medical University, Fuzhou, 350001, China; Department of Urology, Fujian Provincial Hospital, Fuzhou, 350001, China.
| | - Yun Yu
- College of Integrated Traditional Chinese and Western Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
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Antibody-Drug Conjugates in Uro-Oncology. Target Oncol 2022; 17:203-221. [PMID: 35567672 DOI: 10.1007/s11523-022-00872-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2022] [Indexed: 10/18/2022]
Abstract
Currently available treatment options for patients with refractory metastatic prostate, bladder, or kidney cancers are limited with the prognosis remaining poor. Advances in the pathobiology of tumors has led to the discovery of cancer antigens that may be used as the target for cancer treatment. Antibody-drug conjugates (ADCs) are a relatively new concept in cancer treatment that broaden therapeutic landscape. ADCs are examples of a 'drug delivery into the tumor' system composed of an antigen-directed antibody linked to a cytotoxic drug that may release cytotoxic components after binding to the antigen located on the surface of tumor cells. The clinical properties of drugs are influenced by every component of ADCs. Regarding uro-oncology, enfortumab vedotin (EV) and sacituzumab govitecan (SG) are currently registered for patients with locally advanced or metastatic urothelial cancer following previous treatment with an immune checkpoint inhibitor (iCPI; programmed death receptor-1 [PD-1] or programmed death-ligand 1 [PD-L1]) inhibitor) and platinum-containing chemotherapy. The EV-301 trial showed that EV significantly prolonged the overall survival compared with classic chemotherapy. The TROPHY-U-01 trial conducted to evaluate SG demonstrated promising results as regards the objective response rate and duration of response. The safety and efficacy of ADCs in monotherapy and polytherapy (mainly with iCPIs) for different cancer stages and tumor types are assessed in numerous ongoing clinical trials. The aim of this review is to present new molecular biomarkers, specific mechanisms of action, and ongoing clinical trials of ADCs in genitourinary cancers. In the expert discussion, we assess the place of ADCs in uro-oncology and discuss their clinical value.
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Harrison H, Pennells L, Wood A, Rossi SH, Stewart GD, Griffin SJ, Usher-Smith JA. Validation and public health modelling of risk prediction models for kidney cancer using the UK Biobank. BJU Int 2022; 129:498-511. [PMID: 34538014 DOI: 10.1111/bju.15598] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 08/20/2021] [Accepted: 09/04/2021] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To externally validate risk models for the detection of kidney cancer, as early detection of kidney cancer improves survival and stratifying the population using risk models could enable an individually tailored screening programme. METHODS We validated the performance of 30 existing phenotypic models predicting the risk of kidney cancer in the UK Biobank cohort (n = 450 687). We compared the discrimination and calibration of models for men, women, and a mixed-sex cohort. Population level data were used to estimate model performance in a screening scenario for a range of risk thresholds (6-year risk: 0.1-1.0%). RESULTS In all, 10 models had reasonable discrimination (area under the receiver-operating characteristic curve >0.60), although some had poor calibration. Modelling demonstrated similar performance of the best models over a range of thresholds. The models showed an improvement in ability to identify cases compared to age- and sex-based screening. All the models performed less well in women than men. CONCLUSIONS The present study is the first comprehensive external validation of risk models for kidney cancer. The best-performing models are better at identifying individuals at high risk of kidney cancer than age and sex alone; however, the benefits are relatively small. Feasibility studies are required to determine applicability to a screening programme.
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Affiliation(s)
- Hannah Harrison
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Lisa Pennells
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Angela Wood
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Sabrina H Rossi
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Grant D Stewart
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Simon J Griffin
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Juliet A Usher-Smith
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Alhusaini AM, Fadda LM, Alanazi AM, Sarawi WS, Alomar HA, Ali HM, Hasan IH, Ali RA. Nano-Resveratrol: A Promising Candidate for the Treatment of Renal Toxicity Induced by Doxorubicin in Rats Through Modulation of Beclin-1 and mTOR. Front Pharmacol 2022; 13:826908. [PMID: 35281939 PMCID: PMC8913579 DOI: 10.3389/fphar.2022.826908] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 01/17/2022] [Indexed: 12/30/2022] Open
Abstract
Background: Although doxorubicin (DXR) is one of the most used anticancer drugs, it can cause life-threatening renal damage. There has been no effective treatment for DXR-induced renal damage until now. Aim: This work aims at examining the potential impact of nano-resveratrol (N-Resv), native resveratrol (Resv), and their combination with carvedilol (Card) against DXR-induced renal toxicity in rats and to investigate the mechanisms through which these antioxidants act to ameliorate DXR nephrotoxicity. Method: DXR was administered to rats (2 mg/kg, i.p.) twice weekly over 5 weeks. The antioxidants in question were taken 1 week before the DXR dose for 6 weeks. Results: DXR exhibited an elevation in serum urea, creatinine, renal lipid peroxide levels, endoglin expression, kidney injury molecule-1 (KIM-1), and beclin-1. On the other hand, renal podocin and mTOR expression and GSH levels were declined. In addition, DNA fragmentation was markedly increased in the DXR-administered group. Treatment with either Resv or N-Resv alone or in combination with Card ameliorated the previously measured parameters. Conclusion: N-Resv showed superior effectiveness relative to Resv in most of the measured parameters. Histopathological examination revealed amelioration of renal structural and cellular changes after DXR by Card and N-Resv, thus validating the previous biochemical and molecular results.
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Affiliation(s)
- Ahlam M. Alhusaini
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
- *Correspondence: Ahlam M. Alhusaini,
| | - Laila M. Fadda
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Abeer M. Alanazi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Wedad S. Sarawi
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Hatun A. Alomar
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Hanaa M. Ali
- Genetics and Cytology Department, National Research Centre, Cairo, Egypt
| | - Iman H. Hasan
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
| | - Rehab Ahmed Ali
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia
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SERS Liquid Biopsy Profiling of Serum for the Diagnosis of Kidney Cancer. Biomedicines 2022; 10:biomedicines10020233. [PMID: 35203443 PMCID: PMC8869590 DOI: 10.3390/biomedicines10020233] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 01/13/2022] [Accepted: 01/17/2022] [Indexed: 12/20/2022] Open
Abstract
Renal cancer (RC) represents 3% of all cancers, with a 2% annual increase in incidence worldwide, opening the discussion about the need for screening. However, no established screening tool currently exists for RC. To tackle this issue, we assessed surface-enhanced Raman scattering (SERS) profiling of serum as a liquid biopsy strategy to detect renal cell carcinoma (RCC), the most prevalent histologic subtype of RC. Thus, serum samples were collected from 23 patients with RCC and 27 controls (CTRL) presenting with a benign urological pathology such as lithiasis or benign prostatic hypertrophy. SERS profiling of deproteinized serum yielded SERS band spectra attributed mainly to purine metabolites, which exhibited higher intensities in the RCC group, and Raman bands of carotenoids, which exhibited lower intensities in the RCC group. Principal component analysis (PCA) of the SERS spectra showed a tendency for the unsupervised clustering of the two groups. Next, three machine learning algorithms (random forest, kNN, naïve Bayes) were implemented as supervised classification algorithms for achieving discrimination between the RCC and CTRL groups, yielding an AUC of 0.78 for random forest, 0.78 for kNN, and 0.76 for naïve Bayes (average AUC 0.77 ± 0.01). The present study highlights the potential of SERS liquid biopsy as a diagnostic and screening strategy for RCC. Further studies involving large cohorts and other urologic malignancies as controls are needed to validate the proposed SERS approach.
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Harrison H, Thompson RE, Lin Z, Rossi SH, Stewart GD, Griffin SJ, Usher-Smith JA. Risk Prediction Models for Kidney Cancer: A Systematic Review. Eur Urol Focus 2021; 7:1380-1390. [PMID: 32680829 PMCID: PMC8642244 DOI: 10.1016/j.euf.2020.06.024] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/18/2020] [Accepted: 06/29/2020] [Indexed: 12/24/2022]
Abstract
CONTEXT Early detection of kidney cancer improves survival; however, low prevalence means that population-wide screening may be inefficient. Stratification of the population into risk categories could allow for the introduction of a screening programme tailored to individuals. OBJECTIVE This review will identify and compare published models that predict the risk of developing kidney cancer in the general population. EVIDENCE ACQUISITION A search identified primary research reporting or validating models predicting the risk of kidney cancer in Medline and EMBASE. After screening identified studies for inclusion, we extracted data onto a standardised form. The risk models were classified using the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines and evaluated using the PROBAST assessment tool. EVIDENCE SYNTHESIS The search identified 15 281 articles. Sixty-two satisfied the inclusion criteria; performance measures were provided for 11 models. Some models predicted the risk of prevalent undiagnosed disease and others future incident disease. Six of the models had been validated, two using external populations. The most commonly included risk factors were age, smoking status, and body mass index. Most of the models had acceptable-to-good discrimination (area under the receiver-operating curve >0.7) in development and validation. Many models also had high specificity; however, several had low sensitivity. The highest performance was seen for the models using only biomarkers to detect kidney cancer; however, these were developed and validated in small case-control studies. CONCLUSIONS We identified a small number of risk models that could be used to stratify the population according to the risk of kidney cancer. Most exhibit reasonable discrimination, but a few have been validated externally in population-based studies. PATIENT SUMMARY In this review, we looked at mathematical models predicting the likelihood of an individual developing kidney cancer. We found several suitable models, using a range of risk factors (such as age and smoking) to predict the risk for individuals. Most of the models identified require further testing in the general population to confirm their usefulness.
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Affiliation(s)
- Hannah Harrison
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
| | - Rachel E Thompson
- University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Zhiyuan Lin
- University of Cambridge School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
| | - Sabrina H Rossi
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Grant D Stewart
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
| | - Simon J Griffin
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Juliet A Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Karmakova ТА, Sergeeva NS, Kanukoev КY, Alekseev BY, Kaprin АD. Kidney Injury Molecule 1 (KIM-1): a Multifunctional Glycoprotein and Biological Marker (Review). Sovrem Tekhnologii Med 2021; 13:64-78. [PMID: 34603757 PMCID: PMC8482821 DOI: 10.17691/stm2021.13.3.08] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Indexed: 12/17/2022] Open
Abstract
KIM-1 (kidney injury molecule 1) is a transmembrane glycoprotein also known as HAVcr-1 and TIM-1 belongs to the T-cell immunoglobulin and mucin domain family (TIM) of proteins. TIM glycoproteins are presented on the immune cells and participate in the regulation of immune reactions. KIM-1 differs from other members of its family in that it is expressed not only by immunocompetent cells but epithelial cells as well. Cellular and humoral effects mediated by KIM-1 are involved in a variety of physiological and pathophysiological processes. Current understanding of the mechanisms determining the participation of KIM-1 in viral invasion, the immune response regulation, adaptive reactions of the kidney epithelium to acute ischemic or toxic injury, in progression of chronic renal diseases, and kidney cancer development have been presented in this review. Data of clinical researches demonstrating the association of KIM-1 with viral diseases and immune disorders have also been analyzed. Potential application of KIM-1 as urinary or serological marker in renal and cardiovascular diseases has been considered.
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Affiliation(s)
- Т А Karmakova
- Leading Researcher, Department of Predicting the Effectiveness of Conservative Therapy; P. Hertsen Moscow Oncology Research Institute - Branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, 3, 2 Botkinsky Proezd, Moscow, 125284, Russia
| | - N S Sergeeva
- Professor, Head of the Department of Predicting the Effectiveness of Conservative Therapy; P. Hertsen Moscow Oncology Research Institute - Branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, 3, 2 Botkinsky Proezd, Moscow, 125284, Russia; Professor, Department of Biology; Pirogov Russian National Research Medical University, 1 Ostrovitianova St., Moscow, 117997, Russia
| | - К Yu Kanukoev
- Urologist, Department of Urology with Chemotherapy; P. Hertsen Moscow Oncology Research Institute - Branch of the National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, 3, 2 Botkinsky Proezd, Moscow, 125284, Russia
| | - B Ya Alekseev
- Professor, Deputy General Director for Science; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, 4 Koroleva St., Obninsk, 249036, Russia
| | - А D Kaprin
- Professor, Academician of the Russian Academy of Sciences, General Director; National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, 4 Koroleva St., Obninsk, 249036, Russia
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Flitcroft JG, Verheyen J, Vemulkar T, Welbourne EN, Rossi SH, Welsh SJ, Cowburn RP, Stewart GD. Early detection of kidney cancer using urinary proteins: a truly non-invasive strategy. BJU Int 2021; 129:290-303. [PMID: 34570419 DOI: 10.1111/bju.15601] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVES To review urinary protein biomarkers as potential non-invasive, easily obtainable, early diagnostic tools in renal cell carcinoma (RCC). METHODS A PubMed database search was performed up to the year 2020 to identify primary studies reporting potential urinary protein biomarkers for RCC. Separate searches were conducted to identify studies describing appropriate methods of developing cancer screening programmes and detection of cancer biomarkers. RESULTS Several urinary protein biomarkers are under validation for RCC diagnostics, e.g. aquaporin-1, perilipin-2, carbonic anhydrase-9, Raf-kinase inhibitory protein, nuclear matrix protein-22, 14-3-3 Protein β/α and neutrophil gelatinase-associated lipocalin. However, none has yet been validated or approved for clinical use due to low sensitivity or specificity, inconsistencies in appropriate study design, or lack of external validation. CONCLUSIONS Evaluation of biomarkers' feasibility, sample preparation and storage, biomarker validation, and the application of novel technologies may provide a solution that maximises the potential for a truly non-invasive biomarker in early RCC diagnostics.
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Affiliation(s)
- Jordan G Flitcroft
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK
| | - Jeroen Verheyen
- Department of Surgery, Addenbrookes Hospital, University of Cambridge, Cambridge, UK
| | - Tarun Vemulkar
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK
| | - Emma N Welbourne
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK
| | - Sabrina H Rossi
- Department of Surgery, Addenbrookes Hospital, University of Cambridge, Cambridge, UK
| | - Sarah J Welsh
- Department of Surgery, Addenbrookes Hospital, University of Cambridge, Cambridge, UK
| | - Russell P Cowburn
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, UK
| | - Grant D Stewart
- Department of Surgery, Addenbrookes Hospital, University of Cambridge, Cambridge, UK
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Sergeeva NS, Kanukoev KY, Karmakova TA, Alentov II, Marshutina NV, Kaprin AD. On normalizing of urinary KIM-1 level to urine creatinine in patients with renal cell cancer. Klin Lab Diagn 2021; 66:517-524. [PMID: 34543529 DOI: 10.51620/0869-2084-2021-66-9-517-524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
KIM-1 (kidney injury molecule 1), a marker of acute kidney injury, is produced by epithelial cells of renal proximal tubules. Elevated KIM-1 levels in urine and plasma are associated with renal cell carcinoma (RCC). The aim of this study was to compare the significance of non-normalized uKIM-1 values and those normalized to urine creatinine, as urinary biomarkers in RCC. The uKIM-1, urine creatinine and their ratio (uKIM-1/Cre) were studied in 118 RCC patients and 58 apparently healthy subjects. The median of uKIM-1 in the healthy group was 0.71 ng/ml (1st and 3rd quartiles were 0.35 and 1.23, respectively) and in RCC patients it was 2.36 (1.43; 5.93) ng/ml. The medians of uKIM-1/Cre were 0.77 (0.49; 1.18) and 2.42 (1.41; 4.61) ng/mgCre, respectively. Stage I RCC is statistically significantly different from stages II-III and stage IV using uKIM-1/Cre values (p = 0.0056 and p = 0.0012, respectively); using uKIM-1 values significant differences occur only when comparing stages I and IV (p = 0.015). In both healthy individuals and RCC patients, uKIM-1/Cre levels were slightly lower in subgroups younger than 50 years than in subgroups older than 50 years, whereas a similar trend was observed for uKIM-1 only in patients. In healthy men and male patients, uKIM-1 levels were higher than in the corresponding groups of women (the differences were not statistically significant), but the use of uKIM-1/Cre values eliminated the gender differences. A high correlation was found between the concentrations of uKIM-1 and urine creatinine in three healthy subjects followed up for 3 weeks (Spearman's correlation coefficients were 0.758, 0.825 and 0.933, respectively). The data obtained are clear evidence of the need for normalization uKIM-1 to urine creatinine in RCC patients.
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Affiliation(s)
- N S Sergeeva
- P.A. Hertsen Moscow Oncology Research Institute - Branch of the Federal State Budgetary Institution "National Medical Research Radiological Centre", Ministry of Health of the Russian Federation.,N.I. Pirogov Russian National Research Medical University, Ministry of Health of the Russian Federation
| | - K Yu Kanukoev
- P.A. Hertsen Moscow Oncology Research Institute - Branch of the Federal State Budgetary Institution "National Medical Research Radiological Centre", Ministry of Health of the Russian Federation
| | - T A Karmakova
- P.A. Hertsen Moscow Oncology Research Institute - Branch of the Federal State Budgetary Institution "National Medical Research Radiological Centre", Ministry of Health of the Russian Federation
| | - I I Alentov
- P.A. Hertsen Moscow Oncology Research Institute - Branch of the Federal State Budgetary Institution "National Medical Research Radiological Centre", Ministry of Health of the Russian Federation
| | - N V Marshutina
- P.A. Hertsen Moscow Oncology Research Institute - Branch of the Federal State Budgetary Institution "National Medical Research Radiological Centre", Ministry of Health of the Russian Federation
| | - A D Kaprin
- Federal State Budgetary Institution "National Medical Research Radiological Centre", Ministry of Health of the Russian Federation.,People's friendship university of Russia
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Nguyen-Tran HH, Nguyen TN, Chen CY, Hsu T. Endothelial Reprogramming Stimulated by Oncostatin M Promotes Inflammation and Tumorigenesis in VHL-Deficient Kidney Tissue. Cancer Res 2021; 81:5060-5073. [PMID: 34301760 PMCID: PMC8974431 DOI: 10.1158/0008-5472.can-21-0345] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 06/22/2021] [Accepted: 07/21/2021] [Indexed: 01/07/2023]
Abstract
Clear-cell renal cell carcinoma (ccRCC) is the most prevalent subtype of renal cell carcinoma (RCC), and its progression has been linked to chronic inflammation. About 70% of the ccRCC cases are associated with inactivation of the von Hippel-Lindau (VHL) tumor-suppressor gene. However, it is still not clear how mutations in VHL, encoding the substrate-recognition subunit of an E3 ubiquitin ligase that targets the alpha subunit of hypoxia-inducible factor-α (HIFα), can coordinate tissue inflammation and tumorigenesis. We previously generated mice with conditional Vhlh knockout in kidney tubules, which resulted in severe inflammation and fibrosis in addition to hyperplasia and the appearance of transformed clear cells. Interestingly, the endothelial cells (EC), although not subject to genetic manipulation, nonetheless showed profound changes in gene expression that suggest a role in promoting inflammation and tumorigenesis. Oncostatin M (OSM) mediated the interaction between VHL-deficient renal tubule cells and the ECs, and the activated ECs in turn induced macrophage recruitment and polarization. The OSM-dependent microenvironment also promoted metastasis of exogenous tumors. Thus, OSM signaling initiates reconstitution of an inflammatory and tumorigenic microenvironment by VHL-deficient renal tubule cells, which plays a critical role in ccRCC initiation and progression. SIGNIFICANCE: A novel mechanism of cross-talk between ECs and VHL-deficient kidney tubules that stimulates inflammation and tumorigenesis is discovered, suggesting OSM could be a potential target for ccRCC intervention.
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Affiliation(s)
- Hieu-Huy Nguyen-Tran
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan, Republic of China
| | - Thi-Ngoc Nguyen
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan, Republic of China
| | - Chen-Yun Chen
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan, Republic of China
| | - Tien Hsu
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City, Taiwan, Republic of China.,Center for Chronic Disease Research, National Central University, Taoyuan City, Taiwan, Republic of China.,Graduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan, Republic of China.,Corresponding Author: Tien Hsu, Graduate Institute of Biomedical Sciences, China Medical University, No. 91 Hsueh-Shih Road, Taichung, Taiwan 40402, ROC. Phone: 886-42205212, ext. 7716; E-mail:
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Xu W, Puligandla M, Halbert B, Haas NB, Flaherty KT, Uzzo RG, Dutcher JP, DiPaola RS, Sabbisetti V, Bhatt RS. Plasma KIM-1 Is Associated with Recurrence Risk after Nephrectomy for Localized Renal Cell Carcinoma: A Trial of the ECOG-ACRIN Research Group (E2805). Clin Cancer Res 2021; 27:3397-3403. [PMID: 33832947 DOI: 10.1158/1078-0432.ccr-21-0025] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 02/26/2021] [Accepted: 04/06/2021] [Indexed: 12/24/2022]
Abstract
PURPOSE No circulating biomarkers are currently available to identify patients at highest risk of recurrence after nephrectomy for renal cell carcinoma (RCC). Kidney injury molecule-1 (KIM-1) is overexpressed in RCC and its ectodomain circulates in plasma. We investigated whether plasma KIM-1 is a prognostic biomarker in patients with localized RCC after nephrectomy. EXPERIMENTAL DESIGN The ECOG-ACRIN E2805 (ASSURE) trial evaluated adjuvant sunitinib, sorafenib, or placebo in resected high-risk RCC. KIM-1 levels were measured from banked plasma at trial enrollment 4-12 weeks after nephrectomy. Lognormal accelerated failure time models were used to test for association between KIM-1 and disease-free survival (DFS) as well as overall survival (OS). RESULTS Plasma from 418 patients was analyzed. Higher post-nephrectomy KIM-1 was associated with worse DFS across all study arms after adjustment for Fuhrman grade, T stage, N stage, and tumor histology [survival time ratio 0.56 for 75th vs. 25th percentile of KIM-1; 95% confidence interval (CI), 0.42-0.73; P < 0.001]. The association between KIM-1 and DFS was stronger among patients with pathologic nodal involvement (P interaction = 0.0086). The addition of post-nephrectomy KIM-1 improved the concordance of clinical prognostic models [Stage, Size, Grade, and Necrosis (SSIGN) concordance 0.57 vs. 0.43, P = 0.05; UCLA International Staging System (UISS) concordance 0.60 vs. 0.40, P = 0.0005]. Higher post-nephrectomy KIM-1 was also associated with worse OS after multivariable adjustment (survival time ratio 0.71 for 75th vs. 25th percentile of KIM-1; 95% CI, 0.56-0.91; P < 0.001). CONCLUSIONS Post-nephrectomy plasma KIM-1 is associated with DFS and OS in RCC, and may be a biomarker for microscopic residual disease.
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Affiliation(s)
- Wenxin Xu
- Dana-Farber Cancer Institute, Boston, Massachusetts
| | | | - Brian Halbert
- Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Naomi B Haas
- University of Pennsylvania/Abramson Cancer Center, Philadelphia, Philadelphia
| | | | | | | | | | | | - Rupal S Bhatt
- Beth Israel Deaconess Medical Center, Boston, Massachusetts.
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23
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Rossi SH, Klatte T, Usher-Smith JA, Fife K, Welsh SJ, Dabestani S, Bex A, Nicol D, Nathan P, Stewart GD, Wilson ECF. A Decision Analysis Evaluating Screening for Kidney Cancer Using Focused Renal Ultrasound. Eur Urol Focus 2021; 7:407-419. [PMID: 31530498 DOI: 10.1016/j.euf.2019.09.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 08/19/2019] [Accepted: 09/03/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Screening for renal cell carcinoma (RCC) has been identified as a key research priority; however, no randomised control trials have been performed. Value of information analysis can determine whether further research on this topic is of value. OBJECTIVE To determine (1) whether current evidence suggests that screening is potentially cost-effective and, if so, (2) in which age/sex groups, (3) identify evidence gaps, and (4) estimate the value of further research to close those gaps. DESIGN, SETTING, AND PARTICIPANTS A decision model was developed evaluating screening in asymptomatic individuals in the UK. A National Health Service perspective was adopted. INTERVENTION A single focused renal ultrasound scan compared with standard of care (no screening). OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Expected lifetime costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER), discounted at 3.5% per annum. RESULTS AND LIMITATIONS Given a prevalence of RCC of 0.34% (0.18-0.54%), screening 60-yr-old men resulted in an ICER of £18 092/QALY (€22 843/QALY). Given a prevalence of RCC of 0.16% (0.08-0.25%), screening 60-yr-old women resulted in an ICER of £37327/QALY (€47 129/QALY). In the one-way sensitivity analysis, the ICER was <£30000/QALY as long as the prevalence of RCC was ≥0.25% for men and ≥0.2% for women at age 60yr. Given the willingness to pay a threshold of £30000/QALY (€37 878/QALY), the population-expected values of perfect information were £194 million (€244 million) and £97 million (€123 million) for 60-yr-old men and women, respectively. The expected value of perfect parameter information suggests that the prevalence of RCC and stage shift associated with screening are key research priorities. CONCLUSIONS Current evidence suggests that one-off screening of 60-yr-old men is potentially cost-effective and that further research into this topic would be of value to society. PATIENT SUMMARY Economic modelling suggests that screening 60-yr-old men for kidney cancer using ultrasound may be a good use of resources and that further research on this topic should be performed.
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Affiliation(s)
- Sabrina H Rossi
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK; Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Tobias Klatte
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK; Department of Urology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Juliet A Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kate Fife
- Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Sarah J Welsh
- Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, UK
| | - Saeed Dabestani
- Lund University, Skane University Hospital, Department of Clinical Sciences Lund, Lund, Sweden
| | - Axel Bex
- The Royal Free London NHS Foundation Trust, Specialist Centre for Kidney Cancer, UK; Netherlands Cancer Institute, Division of Surgical Oncology, Department of Urology, Amsterdam, The Netherlands
| | - David Nicol
- Department of Urology, Royal Marsden Hospital, London, UK; Institute of Cancer Research, London, UK
| | - Paul Nathan
- Department of Oncology, Mount Vernon Cancer Centre, Northwood, UK
| | - Grant D Stewart
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK; Cambridge University Hospitals NHS Foundation Trust, Addenbrooke's Hospital, Cambridge, UK; Cancer Research UK Cambridge Centre, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK.
| | - Edward C F Wilson
- Cambridge Centre for Health Services Research, University of Cambridge Institute of Public Health, Forvie Site, Robinson Way, Cambridge, UK; Health Economics Group, Norwich Medical School, University of East Anglia, Norwich, UK.
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24
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Singleton RK, Heath AK, Clasen JL, Scelo G, Johansson M, Calvez-Kelm FL, Weiderpass E, Liedberg F, Ljungberg B, Harbs J, Olsen A, Tjønneland A, Dahm CC, Kaaks R, Fortner RT, Panico S, Tagliabue G, Masala G, Tumino R, Ricceri F, Gram IT, Santiuste C, Bonet C, Rodriguez-Barranco M, Schulze MB, Bergmann MM, Travis RC, Tzoulaki I, Riboli E, Muller DC. Risk Prediction for Renal Cell Carcinoma: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Prospective Cohort Study. Cancer Epidemiol Biomarkers Prev 2021; 30:507-512. [PMID: 33335022 DOI: 10.1158/1055-9965.epi-20-1438] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 11/11/2020] [Accepted: 12/14/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Early detection of renal cell carcinoma (RCC) has the potential to improve disease outcomes. No screening program for sporadic RCC is in place. Given relatively low incidence, screening would need to focus on people at high risk of clinically meaningful disease so as to limit overdiagnosis and screen-detected false positives. METHODS Among 192,172 participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (including 588 incident RCC cases), we evaluated a published RCC risk prediction model (including age, sex, BMI, and smoking status) in terms of discrimination (C-statistic) and calibration (observed probability as a function of predicted probability). We used a flexible parametric survival model to develop an expanded model including age, sex, BMI, and smoking status, with the addition of self-reported history of hypertension and measured blood pressure. RESULTS The previously published model yielded well-calibrated probabilities and good discrimination (C-statistic [95% CI]: 0.699 [0.679-0.721]). Our model had slightly improved discrimination (0.714 [0.694-0.735], bootstrap optimism-corrected C-statistic: 0.709). Despite this good performance, predicted risk was low for the vast majority of participants, with 70% of participants having 10-year risk less than 0.0025. CONCLUSIONS Although the models performed well for the prediction of incident RCC, they are currently insufficiently powerful to identify individuals at substantial risk of RCC in a general population. IMPACT Despite the promising performance of the EPIC RCC risk prediction model, further development of the model, possibly including biomarkers of risk, is required to enable risk stratification of RCC.
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Affiliation(s)
- Rosie K Singleton
- School of Public Health, Imperial College London, London, United Kingdom
| | - Alicia K Heath
- School of Public Health, Imperial College London, London, United Kingdom
| | - Joanna L Clasen
- School of Public Health, Imperial College London, London, United Kingdom
| | | | | | | | | | - Fredrik Liedberg
- Institution of Translational Medicine, Lund University, Malmö, Sweden
| | - Börje Ljungberg
- Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umea, Sweden
| | - Justin Harbs
- Department of Radiation Sciences, Umeå University, Umea, Sweden
| | - Anja Olsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Århus, Århus, Denmark
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | | | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Renée T Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Salvatore Panico
- Department of Clinical and Surgical Medicine, Federico II University, Naples, Italy
| | - Giovanna Tagliabue
- Lombardy Cancer Registry Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | - Giovanna Masala
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network-ISPRO, Florence, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, Provincial Health Authority (ASP 7), Ragusa, Italy
| | - Fulvio Ricceri
- Department of Clinical and Biological Sciences, University of Turin, Orbassano (TO), Italy
- Unit of Epidemiology Regional Health Service ASL TO3, Grugliasco (TO), Italy
| | - Inger T Gram
- Faculty of Health Sciences, Department of Community Medicine, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Carmen Santiuste
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Catalina Bonet
- Unit of Nutrition, Environment, and Cancer, Catalan Institute of Oncology, Barcelona, Spain
| | - Miguel Rodriguez-Barranco
- Escuela Andaluza de Salud Pública (EASP), Granada, Madrid, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Mattias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DifE), Potsdam, Germany
- Institute of Nutrition Science, University of Potsdam, Nuthetal, Germany
| | - Manuela M Bergmann
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DifE), Potsdam, Germany
| | - Ruth C Travis
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ioanna Tzoulaki
- School of Public Health, Imperial College London, London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- University of Ioannina Medical School, Ioannina, Greece
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - David C Muller
- School of Public Health, Imperial College London, London, United Kingdom.
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25
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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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Usher-Smith J, Simmons RK, Rossi SH, Stewart GD. Current evidence on screening for renal cancer. Nat Rev Urol 2020; 17:637-642. [PMID: 32860009 PMCID: PMC7610655 DOI: 10.1038/s41585-020-0363-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/22/2020] [Indexed: 02/07/2023]
Abstract
Renal cell carcinoma (RCC) incidence is increasing worldwide. A high proportion of individuals are asymptomatic at diagnosis, but RCC has a high mortality rate. These facts suggest that RCC meets some of the criteria for screening, and a new analysis shows that screening for RCC could potentially be cost-effective. Targeted screening of high-risk individuals is likely to be the most cost-effective strategy to maximize the benefits and reduce the harms of screening. However, the size of the benefit of earlier initiation of treatment and the overall cost-effectiveness of screening remains uncertain. The optimal screening modality and target population is also unclear, and uncertainties exist regarding the specification and implementation of a screening programme. Before moving to a fully powered trial of screening, future work should focus on the following: developing and validating accurate risk prediction models; developing non-invasive methods of early RCC detection; establishing the feasibility, public acceptability and potential uptake of screening; establishing the prevalence of RCC and stage distribution of RCC detected by screening; and evaluating the potential harms of screening, including the impact on quality of life, overdiagnosis and over-treatment.
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Affiliation(s)
- Juliet Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Rebecca K Simmons
- Department of Public Health, Bartolins Allé 2, University of Aarhus, Aarhus C, Denmark
| | - Sabrina H Rossi
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK
| | - Grant D Stewart
- Department of Surgery, University of Cambridge, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, UK.
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27
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Lakshminarayanan H, Rutishauser D, Schraml P, Moch H, Bolck HA. Liquid Biopsies in Renal Cell Carcinoma-Recent Advances and Promising New Technologies for the Early Detection of Metastatic Disease. Front Oncol 2020; 10:582843. [PMID: 33194717 PMCID: PMC7656014 DOI: 10.3389/fonc.2020.582843] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Accepted: 09/29/2020] [Indexed: 12/21/2022] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) displays a highly varying clinical progression, from slow growing localized tumors to very aggressive metastatic disease (mRCC). Almost a third of all patients with ccRCC show metastatic dissemination at presentation while another third develop metastasis during the course of the disease. Survival rates of mRCC patients remain low despite the development of novel targeted treatment regimens. Biomarkers indicating disease progression could help to define its aggressive potential and thus guide patient management. However, molecular markers that can reliably assess metastatic dissemination and disease recurrence in ccRCC have not been recommended for clinical practice to date. Liquid biopsies could provide an attractive and non-invasive method to determine the risk of recurrence or metastatic dissemination during follow-up and thus assist the search for surveillance biomarkers in ccRCC tumors. A wide spectrum of circulating molecules have already shown considerable potential for ccRCC diagnosis and prognostication. In this review, we outline state of the art of the key circulating analytes such as cfDNA, cfRNA, proteins, and exosomes that may serve as biomarkers for the longitudinal monitoring of ccRCC progression to metastasis. Moreover, we address some of the prevailing limitations in the past approaches and present promising adoptable technologies that could help to pursue the implementation of liquid biopsies as a prognostic tool for mRCC.
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Affiliation(s)
| | | | | | - Holger Moch
- Department of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Hella A. Bolck
- Department of Pathology and Molecular Pathology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
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28
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Harvey-Kelly LLW, Harrison H, Rossi SH, Griffin SJ, Stewart GD, Usher-Smith JA. Public attitudes towards screening for kidney cancer: an online survey. BMC Urol 2020; 20:170. [PMID: 33115457 PMCID: PMC7592501 DOI: 10.1186/s12894-020-00724-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 09/17/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Kidney cancer is often asymptomatic, leading to proposals for a screening programme. The views of the public towards introducing a new screening programme for kidney cancer are unknown. The aim of this study was to explore attitudes towards kidney cancer screening and factors influencing intention to attend a future screening programme. METHODS We conducted an online population-based survey of 1021 adults aged 45-77 years. The main outcome measure was intention to attend four possible screening tests (urine, blood, ultrasound scan, low-dose CT) as well as extended low-dose CT scans within lung cancer screening programmes. We used multivariable regression to examine the association between intention and each screening test. RESULTS Most participants stated that they would be 'very likely' or 'likely' to undergo each of the screening tests [urine test: n = 961 (94.1%); blood test: n = 922 (90.3%); ultrasound: n = 914 (89.5%); low-dose CT: n = 804 (78.8%); lung CT: n = 962 (95.2%)]. Greater intention to attend was associated with higher general cancer worry and less perceived burden/inconvenience about the screening tests. Less worry about the screening test was also associated with higher intention to attend, but only in those with low general cancer worry (cancer worry scale ≤ 5). Compared with intention to take up screening with a urine test, participants were half as likely to report that they intended to undergo blood [OR 0.56 (0.43-0.73)] or ultrasound [OR 0.50 (0.38-0.67)] testing, and half as likely again to report that they intended to take part in a screening programme featuring a low dose CT scan for kidney cancer screening alone [OR 0.19 (0.14-0.27)]. CONCLUSION Participants in this study expressed high levels of intention to accept an invitation to screening for kidney cancer, both within a kidney cancer specific screening programme and in conjunction with lung cancer screening. The choice of screening test is likely to influence uptake. Together these findings support on-going research into kidney cancer screening tests and the potential for combining kidney cancer screening with existing or new screening programmes.
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Affiliation(s)
- Laragh L. W. Harvey-Kelly
- University of Cambridge School of Clinical Medicine, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0SP UK
| | - Hannah Harrison
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR UK
| | - Sabrina H. Rossi
- Department of Oncology, University of Cambridge, Addenbrooke’s Hospital, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK
| | - Simon J. Griffin
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR UK
| | - Grant D. Stewart
- Department of Surgery, University of Cambridge, Addenbrooke’s Hospital, Cambridge Biomedical Campus, Hills Road, Cambridge, CB2 0QQ UK
| | - Juliet A. Usher-Smith
- The Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR UK
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29
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Kwon SH. Changes in kidney function markers after bariatric surgery in morbidly obese patients. Kidney Res Clin Pract 2020; 39:115-117. [PMID: 32522893 PMCID: PMC7321673 DOI: 10.23876/j.krcp.20.058] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 05/03/2020] [Accepted: 05/04/2020] [Indexed: 12/13/2022] Open
Affiliation(s)
- Soon Hyo Kwon
- Division of Nephrology, Soonchunhyang University Seoul Hospital, Seoul, Republic Korea
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30
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Diagnostic role of kidney injury molecule-1 in renal cell carcinoma. Int Urol Nephrol 2019; 51:1893-1902. [DOI: 10.1007/s11255-019-02231-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 07/10/2019] [Indexed: 10/26/2022]
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31
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Kushlinskii NE, Gershtein ES, Naberezhnov DS, Taipov MA, Bezhanova SD, Pushkar' DY, Matveev VB, Stilidi IS. Kidney Injury Molecule-1 (KIM-1) in Blood Plasma of Patients with Clear-Cell Carcinoma. Bull Exp Biol Med 2019; 167:388-392. [PMID: 31346876 DOI: 10.1007/s10517-019-04533-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Indexed: 11/29/2022]
Abstract
The concentration of kidney injury molecule-1 (KIM-1) was measured in blood plasma of 99 patients with clear-cell carcinoma and 14 patients with benign renal tumors using a Human Serum TIM-1/KIM-1/HAVCR Quantikine ELISA kit. The control group consisted of 15 healthy male and 14 healthy female subjects. KIM-1 levels in blood plasma of patients with cancer or benign renal tumors were significantly higher than in the control (p<0.00001 and p<0.01, respectively). In patients with benign tumors, this parameter was significantly lower than in patients with cancer (p<0.0001). KIM-1 level significantly increased with disease stage (p<0.0001), and even in stage I cancer, it was higher than in the control group (p<0.0001) or in patients with benign tumors (p<0.01). The best sensitivity/specificity ratio for stage I renal cancer detection (81 and 83% respectively) was achieved at cut-off level 77 pg/ml, the sensitivity of detection of for stages II-IV being 97%. Plasma level of KIM-1 increased with increasing the size and area of the primary tumor (T). This parameter was higher in patients with metastasis in regional lymph nodes irrespective of their number (N1 or N2) in comparison with patients without regional metastasis (N0). It is also higher in patients with distant metastasis (M+). In patients with grade III-IV cancer, KIM-1 level was 7-fold higher than in patients with grade I-II tumor (p<0.0001). Thus, KIM-1 can be regarded as a highly sensitive marker for early detection of clear-cell carcinoma.
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Affiliation(s)
- N E Kushlinskii
- N. N. Blokhin National Medical Cancer Research Center, Ministry of Health of the Russian Federation, Moscow, Russia.
| | - E S Gershtein
- N. N. Blokhin National Medical Cancer Research Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - D S Naberezhnov
- N. N. Blokhin National Medical Cancer Research Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - M A Taipov
- A. I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of the Russian Federation, Moscow, Russia
| | - S D Bezhanova
- N. N. Blokhin National Medical Cancer Research Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - D Yu Pushkar'
- A. I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of the Russian Federation, Moscow, Russia
| | - V B Matveev
- N. N. Blokhin National Medical Cancer Research Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - I S Stilidi
- N. N. Blokhin National Medical Cancer Research Center, Ministry of Health of the Russian Federation, Moscow, Russia
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McDermott DF, Carducci M. Progress in Kidney Cancer Outcomes Through Collaboration, Innovation, and Discovery. J Clin Oncol 2018; 36:JCO1801198. [PMID: 30372393 PMCID: PMC6299339 DOI: 10.1200/jco.18.01198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023] Open
Affiliation(s)
- David F. McDermott
- David F. McDermott, Dana-Farber/Harvard Cancer Center, Boston, MA; and Michael Carducci, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD
| | - Michael Carducci
- David F. McDermott, Dana-Farber/Harvard Cancer Center, Boston, MA; and Michael Carducci, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University, Baltimore, MD
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