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Wang Y, Fan S, Wang W. Knowledge mapping and visualized analysis of research progress in onconephrology: a bibliometric analysis. Ren Fail 2025; 47:2477302. [PMID: 40101926 PMCID: PMC11921167 DOI: 10.1080/0886022x.2025.2477302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 02/24/2025] [Accepted: 03/01/2025] [Indexed: 03/20/2025] Open
Abstract
OBJECTIVES Onconephrology is an expanding subspecialty focused on the management of cancer patients with renal injury. This study used a comprehensive bibliometric analysis to emphasize the need for cooperation between oncologists and nephrologists, exploring current trends and future research areas in onconephrology. METHODS Relevant literature on onconephrology published between 1 January 2000 and 27 April 2024 was retrieved from the Science Citation Index Expanded of the Web of Science Core Collection, followed by manual screening. Bibliometric analyses were performed using CiteSpace, VOSviewer, and Bibliometrix software. RESULTS A total of 1,853 publications, including 1,647 articles and 206 reviews, by 11,606 authors from 2,757 institutions in 73 countries, were analyzed. Annual publications generally follow a steadily increasing trend, ranging from 25 to 161 documents. The United States (n = 464), The University of Texas MD Anderson Cancer Center (n = 39), Meletios A. Dimopoulos (n = 21), and Nephrology Dialysis Transplantation (n = 35) were the most productive country, institution, author, and journal, respectively. Immune checkpoint inhibitors, glomerular filtration rate, and cisplatin were clusters of highly cited references after 2015. Oxaliplatin, calcium, open-label, and thrombotic microangiopathy were trending topics after 2020. Outcome, acute kidney injury, immunotherapy, and chronic kidney disease were keyword bursts that persisted through 2024. CONCLUSION Current research of onconephrology is focusing on chemotherapeutic nephrotoxicity, kidney function assessment, dosing of chemotherapeutic agents in chronic kidney disease, glomerular disease in cancer, immunotherapy, and electrolyte disturbances. Future directions in this field include clinical trials and thrombotic microangiopathy.
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Affiliation(s)
- Yiwei Wang
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University, School of Medicine, Shanghai, China
| | - Shuling Fan
- Department of Nephrology, Shanghai Tenth People’s Hospital, Shanghai, China
| | - Wei Wang
- Department of Nephrology, Shanghai Tenth People’s Hospital, Shanghai, China
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2
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Su H, Chen Z, Lin J, Zhong Y, Ouyang D, Lin Z. Donor-acceptor covalent organic framework nanofilm-based laser desorption/ionization mass spectrometry for rapid and sensitive determination of creatinine in human serum. Analyst 2025. [PMID: 40243013 DOI: 10.1039/d5an00317b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2025]
Abstract
Creatinine (Cre), a metabolite generated by muscles and kidneys, holds significant importance in clinical screening and detection of kidney disease. However, the existing clinical detection of Cre, such as the Jaffe reaction-based colorimetric method, requires complex sample pretreatment and is subject to interference in biological samples. Herein, a surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) method based on a donor-acceptor covalent organic framework (D-A COF) nanofilm as a substrate was proposed for Cre determination in human serum. The D-A COF nanofilm was synthesized using a solvothermal reaction on indium-tin-oxide (ITO)-coated glass plates, which featured uniform surfaces, good thermal stability, and excellent UV absorption. Compared with conventional organic matrices, the D-A COF nanofilm-based LDI-MS method showed low background interference and high MS response and was successfully used for the analysis of low-weight molecules, such as amino acids, bisphenols, and estrogens. On this basis, the D-A COF nanofilm-based LDI-MS method was developed for the determination of Cre in human serum. This method showed good linearity in the range of 14.0-750.0 μmol L-1 with a low limit of detection (LOD) of 4.5 μmol L-1, making it suitable for the determination of Cre in human serum with different concentration levels. This work demonstrates the potential of this method for the clinical determination of Cre in human serum and provides a new direction for the screening and determination of other small-molecule clinical markers.
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Affiliation(s)
- Hang Su
- Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350108, China.
| | - Zihan Chen
- Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350108, China.
| | - Juan Lin
- Department of Cardiology, Fujian Provincial Governmental Hospital, Fuzhou 350003, China
| | - Yanhui Zhong
- Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350108, China.
| | - Dan Ouyang
- Zhejiang-Malaysia Joint Research Laboratory for Agricultural Product Processing and Nutrition, College of Food Science Engineering, Ningbo University, Ningbo, Zhejiang, 315832, China.
| | - Zian Lin
- Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology, College of Chemistry, Fuzhou University, Fuzhou, Fujian, 350108, China.
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3
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Kitchlu A, Silva VTCE, Anand S, Kala J, Abudayyeh A, Inker LA, Rosner MH, Karam S, Gudsoorkar P, Gupta S, Chen S, Klomjit N, Leung N, Milanez T, Motwani SS, Khalid SB, Srinivasan V, Wanchoo R, Beumer JH, Liu G, Tannir NM, Orchanian-Cheff A, Geng Y, Herrmann SM. Assessment of GFR in Patients with Cancer: A Statement from the American Society of Onco-Nephrology. Clin J Am Soc Nephrol 2024; 19:1061-1072. [PMID: 38848131 PMCID: PMC11321742 DOI: 10.2215/cjn.0000000000000508] [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: 11/09/2023] [Accepted: 06/03/2024] [Indexed: 07/03/2024]
Abstract
Accurate assessment of GFR is crucial to guiding drug eligibility, dosing of systemic therapy, and minimizing the risks of both undertreatment and toxicity in patients with cancer. Up to 32% of patients with cancer have baseline CKD, and both malignancy and treatment may cause kidney injury and subsequent CKD. To date, there has been lack of guidance to standardize approaches to GFR estimation in the cancer population. In this two-part statement from the American Society of Onco-Nephrology, we present key messages for estimation of GFR in patients with cancer, including the choice of GFR estimating equation, use of race and body surface area adjustment, and anticancer drug dose-adjustment in the setting of CKD. These key messages are based on a systematic review of studies assessing GFR estimating equations using serum creatinine and cystatin C in patients with cancer, against a measured GFR comparator. The preponderance of current data involving validated GFR estimating equations involves the CKD Epidemiology Collaboration (CKD-EPI) equations, with 2508 patients in whom CKD-EPI using serum creatinine and cystatin C was assessed (eight studies) and 15,349 in whom CKD-EPI with serum creatinine was assessed (22 studies). The former may have improved performance metrics and be less susceptible to shortfalls of eGFR using serum creatinine alone. Since included studies were moderate quality or lower, the American Society of Onco-Nephrology Position Committee rated the certainty of evidence as low. Additional studies are needed to assess the accuracy of other validated eGFR equations in patients with cancer. Given the importance of accurate and timely eGFR assessment, we advocate for the use of validated GFR estimating equations incorporating both serum creatinine and cystatin C in patients with cancer. Measurement of GFR via exogenous filtration markers should be considered in patients with cancer for whom eGFR results in borderline eligibility for therapies or clinical trials.
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Affiliation(s)
- Abhijat Kitchlu
- Department of Medicine, Division of Nephrology, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Verônica T. Costa E. Silva
- Serviço de Nefrologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
- Laboratório de Investigação Médica (LIM) 16, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Shuchi Anand
- Department of Medicine (Nephrology), Stanford University, Stanford, California
| | - Jaya Kala
- Division of Renal Diseases and Hypertension, University of Texas Health Science Center at Houston-McGovern Medical School, Houston, Texas
| | - Ala Abudayyeh
- Section of Nephrology, The University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Lesley A. Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
| | - Mitchell H. Rosner
- Division of Nephrology, University of Virginia Health, Charlottesville, Virginia
| | - Sabine Karam
- Division of Nephrology and Hypertension, Department of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Prakash Gudsoorkar
- Division of Nephrology, Kidney C.A.R.E. Program, University of Cincinnati, Cincinnati, Ohio
| | - Shruti Gupta
- Division of Renal Medicine, Brigham and Women's Hospital, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Sheldon Chen
- Section of Nephrology, The University of Texas, MD Anderson Cancer Center, Houston, Texas
| | - Nattawat Klomjit
- Division of Nephrology and Hypertension, Department of Medicine, University of Minnesota, Minneapolis, Minnesota
| | - Nelson Leung
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Tomaz Milanez
- Institute of Oncology Ljubljana and Department of Nephrology, University Medical Centre Ljubljana, Ljubljana, Slovenija
| | - Shveta S. Motwani
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Lahey Hospital and Medical Center, Burlington, Massachusetts
| | - Sheikh B. Khalid
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Vinay Srinivasan
- Division of Nephrology, Cooper University Hospital and Cooper Medical School of Rowan University, Camden, New Jersey
| | - Rimda Wanchoo
- Division of Kidney Diseases and Hypertension, Glomerular Center at Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Northwell Health, Great Neck, New York
| | - Jan H. Beumer
- Cancer Therapeutics Program, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania
| | - Geoffrey Liu
- Princess Margaret Cancer Centre and University Health Network, University of Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Nizar M. Tannir
- Division of Cancer Medicine, Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ani Orchanian-Cheff
- Library and Information Services, University Health Network, Toronto, Ontario, Canada
| | - Yimin Geng
- Section of Nephrology, The University of Texas, MD Anderson Cancer Center, Houston, Texas
- Research Medical Library, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sandra M. Herrmann
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
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Trevisani F, Simeoni M, Bettiga A, Cinque A, Floris M. Measurement of Glomerular Filtration Rate in Patients Undergoing Renal Surgery for Cancer: Estimated Glomerular Filtration Rate versus Measured Glomerular Filtration Rate in the Era of Precision Medicine. Kidney Blood Press Res 2024; 49:336-344. [PMID: 38636485 DOI: 10.1159/000538854] [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: 12/30/2023] [Accepted: 03/20/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND In the era of precision medicine, determining reliable renal function assessment remains a critical and debatable issue, especially in nephrology and oncology. SUMMARY This paper delves into the significance of accurately measured glomerular filtration rate (mGFR) in clinical practice, highlighting its essential role in guiding medical decisions and managing kidney health, particularly in the context of renal cancer (RC) patients undergoing nephrotoxic anti-cancer drugs. The limitations and advantages of traditional glomerular filtration rate (GFR) estimation methods, primarily using serum biomarkers like creatinine and cystatin C, are discussed, emphasizing their possible inadequacy in cancer patients. Specifically, newer formulae designed for GFR estimation in cancer patients may not perform at best in RC patients. The paper explores various methods for direct GFR measurement, including the gold standard inulin clearance and alternatives like iohexol plasma clearance. KEY MESSAGE Despite the logistical challenges of these methods, their implementation is crucial for accurate renal function assessment. The paper concludes by emphasizing the need for continued research and innovation in GFR measurement methodologies to improve patient outcomes, particularly in populations with complex medical needs.
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Affiliation(s)
- Francesco Trevisani
- Urological Research Institute (URI), Division of Experimental Oncology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Unit of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Biorek srl, San Raffaele Scientific Institute, Milan, Italy
| | - Mariadelina Simeoni
- Department of Translational Medical Sciences University of Campania "Luigi Vanvitelli, Naples, Italy
| | - Arianna Bettiga
- Unit of Urology, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Matteo Floris
- Department of Nephrology, Dialysis, and Transplantation, ARNAS G. Brotzu, Cagliari, Italy
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5
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Stormoen DR, Joensen UN, Daugaard G, Oturai P, Hyllested E, Lauritsen J, Pappot H. Glomerular filtration rate measurement during platinum treatment for urothelial carcinoma: optimal methods for clinical practice. Int J Clin Oncol 2024; 29:309-317. [PMID: 38180599 PMCID: PMC10884137 DOI: 10.1007/s10147-023-02454-3] [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: 10/25/2023] [Accepted: 12/04/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND We assessed the accuracy of four estimated glomerular filtration rate (eGFR) methods: MDRD, Cockcroft-Gault, CKD-EPI, and Wright. METHOD The four methods were compared to measure GFR (mGFR) in patients with urothelial urinary tract cancer (T2-T4bNxMx) receiving platinum-based chemotherapy at Rigshospitalet, Copenhagen, from January 2019 to December 2021. Using standardized assays, creatinine values were measured, and mGFR was determined using Technetium-99 m diethylenetriaminepentaacetic acid (Tc-99 m-DTPA) or Cr-51-ethylenediaminetetraacetic acid (Cr-51-EDTA) plasma clearance. Patients (n = 146) with both mGFR and corresponding creatinine values available were included (n = 345 measurements). RESULTS The CKD-EPI method consistently demonstrated superior accuracy, with the lowest Total Deviation Index of 21.8% at baseline and 22.9% for all measurements compared to Wright (23.4% /24.1%), MDRD (26.2%/25.5%), and Cockcroft-Gault (25.x%/25.1%). Bland Altman Limits of agreement (LOA) ranged from - 32 ml/min (Cockcroft-Gault) to + 33 ml/min (MDRD), with CKD-EPI showing the narrowest LOA (- 27 ml/min to + 24 ml/min and lowest bias (0.3 ml/min). Establishing an eGFR threshold at 85 ml/min-considering both the lower limit of agreement (LOA) and the minimum cisplatin limit at 60 ml/min-allows for the safe omission of mGFR in 30% of patients in this cohort. CONCLUSION CKD-EPI equation emerged as the most suitable for estimating kidney function in this patient group although not meeting benchmark criteria. We recommend its use for initial assessment and ongoing monitoring, and suggest mGFR for patients with a CKD-EPI estimated GFR below 85 ml/min. This approach could reduce costs and decrease laboratory time for 30% of our UC patients.
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Affiliation(s)
- Dag Rune Stormoen
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
| | - Ulla Nordström Joensen
- Department of Urology, Rigshospitalet, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Gedske Daugaard
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Peter Oturai
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, Copenhagen, Denmark
| | - Emil Hyllested
- Department of Urology, Rigshospitalet, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Jakob Lauritsen
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Helle Pappot
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Inker LA, Chami A, Levey AS. Do We Need a New Creatinine-Based Estimated GFR Equation for Kidney Transplant Recipients? Am J Kidney Dis 2024; 83:257-259. [PMID: 37844726 DOI: 10.1053/j.ajkd.2023.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/15/2023] [Accepted: 08/28/2023] [Indexed: 10/18/2023]
Affiliation(s)
- Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts.
| | - Ashtar Chami
- Division of Transplant Surgery, Tufts Medical Center, Boston, Massachusetts
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts
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7
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Kleeman SO, Thakir TM, Demestichas B, Mourikis N, Loiero D, Ferrer M, Bankier S, Riazat-Kesh YJ, Lee H, Chantzichristos D, Regan C, Preall J, Sinha S, Rosin N, Yipp B, de Almeida LG, Biernaskie J, Dufour A, Tober-Lau P, Ruusalepp A, Bjorkegren JL, Ralser M, Kurth F, Demichev V, Heywood T, Gao Q, Johannsson G, Koelzer VH, Walker BR, Meyer HV, Janowitz T. Cystatin C is glucocorticoid responsive, directs recruitment of Trem2+ macrophages, and predicts failure of cancer immunotherapy. CELL GENOMICS 2023; 3:100347. [PMID: 37601967 PMCID: PMC10435381 DOI: 10.1016/j.xgen.2023.100347] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 03/23/2023] [Accepted: 05/30/2023] [Indexed: 08/22/2023]
Abstract
Cystatin C (CyC), a secreted cysteine protease inhibitor, has unclear biological functions. Many patients exhibit elevated plasma CyC levels, particularly during glucocorticoid (GC) treatment. This study links GCs with CyC's systemic regulation by utilizing genome-wide association and structural equation modeling to determine CyC production genetics in the UK Biobank. Both CyC production and a polygenic score (PGS) capturing predisposition to CyC production were associated with increased all-cause and cancer-specific mortality. We found that the GC receptor directly targets CyC, leading to GC-responsive CyC secretion in macrophages and cancer cells. CyC-knockout tumors displayed significantly reduced growth and diminished recruitment of TREM2+ macrophages, which have been connected to cancer immunotherapy failure. Furthermore, the CyC-production PGS predicted checkpoint immunotherapy failure in 685 patients with metastatic cancer from combined clinical trial cohorts. In conclusion, CyC may act as a GC effector pathway via TREM2+ macrophage recruitment and may be a potential target for combination cancer immunotherapy.
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Affiliation(s)
- Sam O. Kleeman
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | | | | | - Dominik Loiero
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Miriam Ferrer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Sean Bankier
- BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Computational Biology Unit, Department of Informatics, University of Bergen, Bergen, Norway
| | | | - Hassal Lee
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Dimitrios Chantzichristos
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Endocrinology Diabetes and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Claire Regan
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | | | - Sarthak Sinha
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Nicole Rosin
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
| | - Bryan Yipp
- Department of Critical Care Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Luiz G.N. de Almeida
- Department of Biochemistry and Molecular Biology and Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
| | - Jeff Biernaskie
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada
- Department of Surgery, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Antoine Dufour
- Department of Biochemistry and Molecular Biology and Physiology and Pharmacology, University of Calgary, Calgary, AB, Canada
| | | | - Arno Ruusalepp
- Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
| | - Johan L.M. Bjorkegren
- Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Markus Ralser
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Florian Kurth
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Todd Heywood
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Qing Gao
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Gudmundur Johannsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Endocrinology Diabetes and Metabolism, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Viktor H. Koelzer
- Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Department of Oncology and Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Brian R. Walker
- BHF Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, UK
- Translational & Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Tobias Janowitz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
- Cancer Institute, Northwell Health, New Hyde Park, NY, USA
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8
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Praiss AM, Miller A, Smith J, Lichtman SM, Bookman M, Aghajanian C, Sabbatini P, Backes F, Cohn DE, Argenta P, Friedlander M, Goodheart MJ, Mutch DG, Gershenson DM, Tewari KS, Wenham RM, Wahner Hendrickson AE, Lee RB, Gray H, Secord AA, Van Le L, O'Cearbhaill RE. Carboplatin dosing in the treatment of ovarian cancer: An NRG oncology group study. Gynecol Oncol 2023; 174:213-223. [PMID: 37229879 PMCID: PMC10330633 DOI: 10.1016/j.ygyno.2023.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/11/2023] [Accepted: 05/12/2023] [Indexed: 05/27/2023]
Abstract
OBJECTIVE To determine the effects of using National Comprehensive Cancer Network (NCCN) guidelines to estimate renal function on carboplatin dosing and explore adverse effects associated with a more accurate estimation of lower creatinine clearance (CrCl). METHODS Retrospective data were obtained for 3830 of 4312 patients treated on GOG182 (NCT00011986)-a phase III trial of platinum-based chemotherapy for advanced-stage ovarian cancer. Carboplatin dose per patient on GOG182 was determined using the Jelliffe formula. We recalculated CrCl to determine dosing using Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault (with/without NCCN recommended modifications) formulas. Associations between baseline CrCl and toxicity were described using the area under the receiver operating characteristic curve (AUC). Sensitivity and positive predictive values described the model's ability to discriminate between subjects with/without the adverse event. RESULTS AUC statistics (range, 0.52-0.64) showed log(CrClJelliffe) was not a good predictor of grade ≥3 adverse events (anemia, thrombocytopenia, febrile neutropenia, auditory, renal, metabolic, neurologic). Of 3830 patients, 628 (16%) had CrCl <60 mL/min. Positive predictive values for adverse events ranged from 1.8%-15%. Using the Cockcroft-Gault, Cockcroft-Gault with NCCN modifications, and MDRD (instead of Jelliffe) formulas to estimate renal function resulted in a >10% decrease in carboplatin dosing in 16%, 32%, and 5.2% of patients, respectively, and a >10% increase in carboplatin dosing in 41%, 9.6% and 12% of patients, respectively. CONCLUSION The formula used to estimate CrCl affects carboplatin dosing. Estimated CrCl <60 mL/min (by Jelliffe) did not accurately predict adverse events. Efforts continue to better predict renal function. Endorsing National Cancer Institute initiatives to broaden study eligibility, our data do not support a minimum threshold CrCl <60 mL/min as an exclusion criterion from clinical trials.
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Affiliation(s)
- Aaron M Praiss
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America.
| | - Austin Miller
- NRG Oncology Statistics and Data Center, Roswell Park Cancer Institute, Buffalo, NY, United States of America.
| | - Judith Smith
- McGovern Medical School, The University of Texas Health Science Center, Houston, TX, United States of America.
| | - Stuart M Lichtman
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
| | - Michael Bookman
- Department of Medical Oncology, Kaiser-Permanente Northern California, San Francisco, CA, United States of America.
| | - Carol Aghajanian
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
| | - Paul Sabbatini
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
| | - Floor Backes
- Department of Oncology, James Cancer Center, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America.
| | - David E Cohn
- Department of Oncology, James Cancer Center, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America.
| | - Peter Argenta
- Department of Obstetrics, Gynecology and Women's Health, Division of Gynecologic Oncology, University of Minnesota, Minneapolis, MN, United States of America.
| | - Michael Friedlander
- Department of Medical Oncology, Prince of Wales Hospital and Prince of Wales Clinical School, UNSW, Sydney, New South Wales, Australia.
| | - Michael J Goodheart
- Gynecologic Oncology, University of Iowa Hospitals, Iowa City, IA, United States of America.
| | - David G Mutch
- Gynecologic Oncology, Washington University, St. Louis, MO, United States of America.
| | - David M Gershenson
- Gynecologic Oncology, University of Texas, MD Anderson Cancer Center, Houston, TX, United States of America.
| | - Krishnansu S Tewari
- Gynecologic Oncology, University of California, Irvine Medical Center, Orange, CA, USA.
| | - Robert M Wenham
- Gynecologic Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America.
| | | | - Roger B Lee
- Gynecologic Oncology, Tacoma General Hospital, Tacoma, WA, United States of America
| | - Heidi Gray
- Gynecologic Oncology, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
| | - Angeles Alvarez Secord
- Gynecologic Oncology, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States of America.
| | - Linda Van Le
- Gynecologic Oncology, University of North Carolina, United States of America.
| | - Roisin E O'Cearbhaill
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
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Claudel SE, Gandhi M, Patel AB, Verma A. Estimating kidney function in patients with cancer: A narrative review. Acta Physiol (Oxf) 2023; 238:e13977. [PMID: 37057998 PMCID: PMC11839183 DOI: 10.1111/apha.13977] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/04/2023] [Accepted: 04/12/2023] [Indexed: 04/15/2023]
Abstract
AIM Accurate evaluation of glomerular filtration rate (GFR) is crucial in Oncology as drug eligibility and dosing depend on estimates of GFR. However, there are no clear guidelines on the optimal method of determining kidney function in patients with cancer. We aimed to summarize the evidence on estimation of kidney function in patients with cancer. METHODS We searched PubMed for literature discussing the performance of GFR estimating equations in patients with malignancy to create a table of the evidence for creatinine- and cystatin c-based equations. We further reviewed novel estimation techniques such as panel eGFR, real-time measured GFR, and functional magnetic resonance imaging. RESULTS The commonly used GFR estimating equations were derived from populations of patients without cancer. These equations may be less applicable in Oncology due to severe sarcopenia, inflammation, and other physiologic changes in patients with cancer. The Cockcroft-Gault equation currently dominates in clinical Oncology despite significant limitations and accumulating evidence for use of the CKD-EPICr formula. Additional considerations in the practice of Oncology include a recently developed equation (CamGFRv2, also called the Janowitz formula) and the use of cystatin c-based equations to overcome some of the barriers to accurate GFR estimation based on creatinine alone. CONCLUSION Overall, we suggest using the CKD-EPI equations (either cystatin c or creatinine-based) among patients with cancer in routine clinical practice and measured GFR for patients at a critical threshold for treatment decisions.
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Affiliation(s)
- Sophie E. Claudel
- Department of Internal Medicine, Boston Medical Center, Boston, Massachusetts, USA
| | - Malini Gandhi
- Harvard Medical School, Boston, Massachusetts, USA
- Dana Farber Cancer Institute, Boston, Massachusetts, USA
| | - Ankit B. Patel
- Renal Division, Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Ashish Verma
- Department of Medicine, Section on Nephrology, Boston Medical Center, Boston, Massachusetts, USA
- Amyloidosis Center, Boston Medical Center, Boston, Massachusetts, USA
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Samani A, Krell J, McNeish I, Tookman L. Response to the letter entitled "Glomerular filtration rate estimation for carboplatin dosing in patients with gynaecological cancers". ESMO Open 2022; 7:100534. [PMID: 35841803 PMCID: PMC9293589 DOI: 10.1016/j.esmoop.2022.100534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Accepted: 06/01/2022] [Indexed: 12/05/2022] Open
Affiliation(s)
- A Samani
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Hammersmith Hospital, London, UK
| | - J Krell
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Hammersmith Hospital, London, UK
| | - I McNeish
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Hammersmith Hospital, London, UK
| | - L Tookman
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Hammersmith Hospital, London, UK.
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11
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Samani A, Bennett R, Eremeishvili K, Kalofonou F, Whear S, Montes A, Kristeleit R, Krell J, McNeish I, Ghosh S, Tookman L. Glomerular filtration rate estimation for carboplatin dosing in patients with gynaecological cancers. ESMO Open 2022; 7:100401. [PMID: 35227967 PMCID: PMC9058909 DOI: 10.1016/j.esmoop.2022.100401] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/31/2021] [Accepted: 01/19/2022] [Indexed: 11/21/2022] Open
Abstract
Background Carboplatin remains integral for treatment of gynaecological malignancies and dosing is based on glomerular filtration rate (GFR). Measurement via radiotracer decay [nuclear medicine GFR (nmGFR)] is ideal. However, this may be unavailable. Therefore GFR is often estimated using formulae that have not been validated in patients with cancer and/or specifically for gynaecological malignancies, leading to debate over optimal estimation. Suboptimal GFR estimation may affect efficacy or toxicity. Methods We surveyed several UK National Health Service Trusts to assess carboplatin dosing practise. We then explored single-centre accuracy, bias and precision of various formulae for GFR estimation, relative to nmGFR, before validating our findings in an external cohort. Results Across 18 Trusts, there was considerable heterogeneity in GFR estimation, including the formulae used [Cockcroft–Gault (CG) versus Wright], weight adjustment and area under the curve (AUC; 5 versus 6). We analysed 274 and 192 patients in two centres. Overall, CamGFR v2 (a novel formula for GFR estimation developed at Cambridge University Hospitals NHS Foundation Trust) excelled, showing the highest accuracy and precision. This translated into accuracy of hypothetical carboplatin dosing; nmGFR-derived carboplatin dose fell within 20% of the Cam GFR v2-derived dose in 86.5% and 87% of patients across the cohorts. Among the CG formula and its derivatives, using adjusted body weight in those with body mass index ≥25 kg/m2 [CG-adjusted body weight (CG-AdBW)] was optimal. The Wright and unadjusted CG estimators performed most poorly. Conclusions When compared with nmGFR assessment, accuracy, bias and precision varied widely between GFR estimators, with the newly developed Cam GFR v2 and CG-AdBW performing best. In general, weight (or body surface area)-adjusted formulae excelled, while the unadjusted CG and Wright formulae or the use of AUC6 (versus nmGFR AUC5) produced risk of significant overdose. Thus, individual centres should validate their GFR estimation methods. In the absence of validation, CG-AdBW or CamGFR v2 is likely to perform well while unadjusted CG/Wright formulae or AUC6 dosing should be avoided. Despite therapeutic advances, carboplatin is still used repeatedly for treatment of gynaecological cancers. Between centres, there is heterogenous use of GFR estimation methods for carboplatin dosing. The novel CamGFR v2 and CG-AdBW are the most accurate estimators. The Wright formula, unadjusted CG and the use of AUC6 with estimated GFR should all be avoided. If internal validation unavailable, centres should use CamGFR v2 or CG-AdBW for GFR estimation.
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Affiliation(s)
- A Samani
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK. https://twitter.com/amit_samani1
| | - R Bennett
- Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK
| | - K Eremeishvili
- Guy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - F Kalofonou
- Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK. https://twitter.com/FKalofonou
| | - S Whear
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - A Montes
- Guy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - R Kristeleit
- Guy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - J Krell
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK
| | - I McNeish
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK
| | - S Ghosh
- Guy's Cancer Centre, Guy's and St. Thomas' NHS Foundation Trust, London, UK. https://twitter.com/sharmisthaghosh
| | - L Tookman
- Department of Surgery and Cancer, Imperial College London, London, UK; Department of Medical Oncology, Imperial College Healthcare NHS Trust, London, UK.
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12
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Costa E Silva VT, Gil LA, Inker LA, Caires RA, Costalonga E, Coura-Filho G, Sapienza MT, Castro G, Estevez-Diz MD, Zanetta DMT, Antonângelo L, Marçal L, Tighiouart H, Miao S, Mathew P, Levey AS, Burdmann EA. A prospective cross-sectional study estimated glomerular filtration rate from creatinine and cystatin C in adults with solid tumors. Kidney Int 2022; 101:607-614. [PMID: 35032521 DOI: 10.1016/j.kint.2021.12.010] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 11/18/2021] [Accepted: 12/09/2021] [Indexed: 01/06/2023]
Abstract
Current guidelines recommend estimating glomerular filtration rate (eGFR) using creatinine (eGFRcr) with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation as the first test for GFR evaluation, but the Cockcroft-Gault (CG) equation is still commonly used in oncology practice and clinical trials despite increasing evidence of its inaccuracy compared to measured GFR (mGFR). Guidelines recommend eGFR using cystatin C (eGFRcys) or both markers (eGFRcr-cys) as a confirmatory test, but neither was carefully evaluated in cancer patients. Therefore, we compared performance of the CKD-EPI equations and others to the CG equation in adults with a variety of solid tumors. The mGFR was determined by plasma clearance of 51Cr-EDTA. Bias was defined as the median of the differences between mGFR and eGFR while accuracy was defined as the percentage of estimates that differed by more than 30% from the measured GFR (1-P30). We prospectively recruited 1,200 patients between April 2015 and September 2017 with a mean age and mGFR of 58.8 years and 78.4 ml/min/1.73m2, respectively. Bias among eGFRcr equations varied from -8.1 to +6.1 ml/min/1.73 m2. CG was the least accurate, 1-P30 (95% confidence interval) was 24.9 (22.4- 27.3)%; CKD-EPI had 1-P30 of 19.1 (16.8-21.2)% while eGFRcr-cys had the best performance: bias -2.0 (-2.6 to -1.1) ml/min/1.73m2 and 1-P30 7.8 (6.3-9.4)%. Thus, the CG equation should not be preferred over CKD-EPI equation, and eGFRcr-cys can be used as a confirmatory test in adults with solid tumors. Hence, a major policy implication would be to adopt general practice guideline-recommended methods for GFR evaluation in oncology practice and clinical trials.
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Affiliation(s)
- Verônica T Costa E Silva
- Serviço de Nefrologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
| | - Luiz A Gil
- Laboratório de Investigação Médica (LIM) 66, Serviço de Geriatria, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Lesley A Inker
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Renato A Caires
- Serviço de Nefrologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Elerson Costalonga
- Serviço de Nefrologia, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - George Coura-Filho
- Serviço de Medicina Nuclear, Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Marcelo T Sapienza
- Radiology and Oncology Department, Instituto do Câncer do Estado de São Paulo, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Gilberto Castro
- Serviço de Oncologia Clínica, Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Dp Estevez-Diz
- Serviço de Oncologia Clínica, Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Dirce Maria T Zanetta
- Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil
| | - Leila Antonângelo
- Laboratório de Investigação Médica (LIM) 03, Division of Clinical Pathology, University of São Paulo Medical School, São Paulo, Brazil
| | - Lia Marçal
- Laboratório de Investigação Médica (LIM) 03, Division of Clinical Pathology, University of São Paulo Medical School, São Paulo, Brazil
| | - Hocine Tighiouart
- Institute for Clinical Research and Health Policy Studies, Biostatistics, Epidemiology, and Research Design Center, Tufts Medical Center, Boston, Massachusetts, USA
| | - Shiyuan Miao
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Paul Mathew
- Division of Hematology-Oncology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Andrew S Levey
- Division of Nephrology, Tufts Medical Center, Boston, Massachusetts, USA
| | - Emmanuel A Burdmann
- Laboratório de Investigação (LIM) 12, Serviço de Nefrologia, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
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