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Maffezzoli M, Santoni M, Mazzaschi G, Rodella S, Lai E, Maruzzo M, Basso U, Bimbatti D, Iacovelli R, Anghelone A, Fiala O, Rebuzzi SE, Fornarini G, Lolli C, Massari F, Rosellini M, Mollica V, Nasso C, Acunzo A, Silini EM, Quaini F, De Filippo M, Brunelli M, Banna GL, Rescigno P, Signori A, Buti S. External validation of a red cell-based blood prognostic score in patients with metastatic renal cell carcinoma treated with first-line immunotherapy combinations. Clin Exp Metastasis 2024; 41:117-129. [PMID: 38363410 PMCID: PMC10973030 DOI: 10.1007/s10585-024-10266-6] [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: 09/30/2023] [Accepted: 01/04/2024] [Indexed: 02/17/2024]
Abstract
Immunotherapy combinations with tyrosine-kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) had significantly improved outcomes of patients with mRCC. Predictive and prognostic factors are crucial to improve patients' counseling and management. The present study aimed to externally validate the prognostic value of a previously developed red cell-based score, including hemoglobin (Hb), mean corpuscular volume (MCV) and red cell distribution width (RDW), in patients with mRCC treated with first-line immunotherapy combinations (TKI plus ICI or ICI plus ICI). We performed a sub-analysis of a multicentre retrospective observational study (ARON-1 project) involving patients with mRCC treated with first-line immunotherapy combinations. Uni- and multivariable Cox regression models were used to assess the correlation between the red cell-based score and progression-free survival (PFS), and overall survival (OS). Logistic regression were used to estimate the correlation between the score and the objective response rate (ORR). The prognostic impact of the red cell-based score on PFS and OS was confirmed in the whole population regardless of the immunotherapy combination used [median PFS (mPFS): 17.4 vs 8.2 months, HR 0.66, 95% CI 0.47-0.94; median OS (mOS): 42.0 vs 17.3 months, HR 0.60, 95% CI 0.39-0.92; p < 0.001 for both]. We validated the prognostic significance of the red cell-based score in patients with mRCC treated with first-line immunotherapy combinations. The score is easy to use in daily clinical practice and it might improve patient counselling.
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Affiliation(s)
- Michele Maffezzoli
- Department of Medicine and Surgery, University of Parma, Parma, Italy.
- Medical Oncology Unit, University Hospital of Parma, Via Gramsci 14, 43126, Parma, Italy.
| | - Matteo Santoni
- Oncology Unit, Macerata Hospital, 62100, Macerata, Italy
| | - Giulia Mazzaschi
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Medical Oncology Unit, University Hospital of Parma, Via Gramsci 14, 43126, Parma, Italy
| | - Sara Rodella
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Eleonora Lai
- Department of Oncology, Oncology Unit, Istituto Oncologico Veneto IOV IRCCS, Padua, Italy
| | - Marco Maruzzo
- Department of Oncology, Oncology Unit, Istituto Oncologico Veneto IOV IRCCS, Padua, Italy
| | - Umberto Basso
- Department of Oncology, Oncology Unit, Istituto Oncologico Veneto IOV IRCCS, Padua, Italy
| | - Davide Bimbatti
- Department of Oncology, Oncology Unit, Istituto Oncologico Veneto IOV IRCCS, Padua, Italy
| | - Roberto Iacovelli
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Annunziato Anghelone
- Medical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Ondřej Fiala
- Department of Oncology and Radiotherapeutics, Faculty of Medicine and University Hospital in Pilsen, Charles University, Pilsen, Czech Republic
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Sara Elena Rebuzzi
- Medical Oncology Unit, Ospedale San Paolo, Savona, Italy
- Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genova, Genoa, Italy
| | - Giuseppe Fornarini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cristian Lolli
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy
| | - Francesco Massari
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Matteo Rosellini
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Veronica Mollica
- Medical Oncology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Cecilia Nasso
- Medical Oncology, Ospedale Santa Corona, 17027, Pietra Ligure, Italy
| | - Alessandro Acunzo
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Medical Oncology Unit, University Hospital of Parma, Via Gramsci 14, 43126, Parma, Italy
| | - Enrico Maria Silini
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Pathology Unit, University Hospital of Parma, Parma, Italy
| | - Federico Quaini
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Massimo De Filippo
- Department of Medicine and Surgery, Section of Radiology, University of Parma, Parma, Italy
| | - Matteo Brunelli
- Department of Diagnostic and Public Health, Section of Pathology, University of Verona, Verona, Italy
| | - Giuseppe L Banna
- Department of Oncology, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
- Faculty of Science and Health, School of Pharmacy and Biomedical Sciences, University of Portsmouth, Portsmouth, UK
| | - Pasquale Rescigno
- Centre for Cancer, Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Alessio Signori
- Section of biostatistics, Department of Health Sciences (DISSAL), University of Genova, Genoa, Italy
| | - Sebastiano Buti
- Department of Medicine and Surgery, University of Parma, Parma, Italy
- Medical Oncology Unit, University Hospital of Parma, Via Gramsci 14, 43126, Parma, Italy
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Soerensen SJC, Montez-Rath ME, Cheng I, Gomez SL, Oh DL, Jackson C, Li J, Rehkopf D, Chertow GM, Langston ME, Ganesan C, Pao AC, Chung BI, Leppert JT. Groundwater constituents and the incidence of kidney cancer. Cancer 2023; 129:3309-3317. [PMID: 37287332 DOI: 10.1002/cncr.34898] [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: 02/13/2023] [Revised: 04/26/2023] [Accepted: 04/29/2023] [Indexed: 06/09/2023]
Abstract
BACKGROUND Kidney cancer incidence demonstrates significant geographic variation suggesting a role for environmental risk factors. This study sought to evaluate associations between groundwater exposures and kidney cancer incidence. METHODS The authors identified constituents from 18,506 public groundwater wells in all 58 California counties measured in 1996-2010, and obtained county-level kidney cancer incidence data from the California Cancer Registry for 2003-2017. The authors developed a water-wide association study (WWAS) platform using XWAS methodology. Three cohorts were created with 5 years of groundwater measurements and 5-year kidney cancer incidence data. The authors fit Poisson regression models in each cohort to estimate the association between county-level average constituent concentrations and kidney cancer, adjusting for known risk factors: sex, obesity, smoking prevalence, and socioeconomic status at the county level. RESULTS Thirteen groundwater constituents met stringent WWAS criteria (a false discovery rate <0.10 in the first cohort, followed by p values <.05 in subsequent cohorts) and were associated with kidney cancer incidence. The seven constituents directly related to kidney cancer incidence (and corresponding standardized incidence ratios) were chlordane (1.06; 95% confidence interval [CI], 1.02-1.10), dieldrin (1.04; 95% CI, 1.01-1.07), 1,2-dichloropropane (1.04; 95% CI, 1.02-1.05), 2,4,5-TP (1.03; 95% CI, 1.01-1.05), glyphosate (1.02; 95% CI, 1.01-1.04), endothall (1.02; 95% CI, 1.01-1.03), and carbaryl (1.02; 95% CI, 1.01-1.03). Among the six constituents inversely related to kidney cancer incidence, the standardized incidence ratio furthest from the null was for bromide (0.97; 95% CI, 0.94-0.99). CONCLUSIONS This study identified several groundwater constituents associated with kidney cancer. Public health efforts to reduce the burden of kidney cancer should consider groundwater constituents as environmental exposures that may be associated with the incidence of kidney cancer.
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Affiliation(s)
- Simon John Christoph Soerensen
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
| | - Maria E Montez-Rath
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, USA
| | - Scarlett Lin Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, USA
| | - Debora L Oh
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Christian Jackson
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
| | - Jinhui Li
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
| | - David Rehkopf
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Glenn M Chertow
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Marvin E Langston
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California, USA
| | - Calyani Ganesan
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Alan C Pao
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Medicine, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, USA
| | - Benjamin I Chung
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
| | - John T Leppert
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Urology, Veterans Affairs Palo Alto Health Care System, Palo Alto, California, USA
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