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Ni J, Yao X, Song W, Zhang H, Zhang H, Wang Y, Zhang Y, Wang G, Wang K, Mao W, Peng B. Prognostic value of preoperative combined neutrophil, monocyte, and lymphocyte scores in patients with renal cell carcinoma undergoing laparoscopic nephrectomy: A retrospective study. Cancer Med 2024; 13:e7214. [PMID: 38686610 PMCID: PMC11058690 DOI: 10.1002/cam4.7214] [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: 10/12/2023] [Revised: 04/05/2024] [Accepted: 04/11/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND In a multi-institutional clinical study, we assessed the prognostic significance of a novel indicator preoperative peripheral blood immune (PBIS) scores that combined ratios of preoperative lymphocyte, monocyte, and neutrophil of renal cell carcinoma (RCC) patients undergoing laparoscopic nephrectomy. METHODS Between January 2014 and December 2019, 438 patients with RCC were retrospectively analyzed in three centers. We used X-tile software to obtain the optimum cut-off values for neutrophils, monocytes, and lymphocytes to classify the patients. To assess the relationship between PBIS score and overall survival (OS), and cancer-specific survival (CSS) in patients with RCC by Kaplan-Meier survival curves and Cox regression analyses. In addition, predictive OS and CSS nomograms were constructed. The discriminative ability of nomogram and predictive performance accuracy were verified with consistency index (C-index), calibration curves, receiver operating curve (ROC) curves, decision curve analysis (DCA) curves, and time-dependent ROC curves. RESULTS The optimum cutoff values for monocytes, lymphocytes, and neutrophils were 0.46, 1.01, and 4.50, respectively. We divided patients into four subgroups according to PBIS scores, which were significantly associated with M-stage (p = 0.008), T-stage (p < 0.001), N-stage (p = 0.006), and AJCC stage (p < 0.001). Multivariate Cox regression analysis revealed that RCC patients with lower PBIS scores showed a worse postoperative prognosis and served as an independent predictor of OS (p = 0.002) and CSS (p < 0.001). Ultimately, the nomograms based on PBIS scores demonstrated excellent predictive performance for OS (C-index: 0.770) and CSS (C-index: 0.828) through the analysis of calibration curves, ROC curves, DCA curves, and time-dependent ROC curves. CONCLUSION PBIS score served as novel and effective predictor to accurately predict OS and CSS in patients with RCC receiving laparoscopic nephrectomy.
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Affiliation(s)
- Jinliang Ni
- Department of Urology, Shanghai Putuo District People's Hospital, School of MedicineTongji UniversityShanghaiChina
- Department of Urology, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiShanghaiChina
| | - Xiaoxiang Yao
- Department of Oncology, Putuo People's Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Wei Song
- Department of Urology, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiShanghaiChina
- Shanghai Clinical CollegeAnhui Medical UniversityShanghaiChina
| | - Heng Zhang
- Department of UrologyGuiqian International General HospitalGuizhouChina
| | - Houliang Zhang
- Department of UrologyAffiliated Zhongda Hospital of Southeast UniversityNanjingChina
| | - Yidi Wang
- Department of UrologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Yifan Zhang
- Department of Urology, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiShanghaiChina
| | - Guangchun Wang
- Department of Urology, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiShanghaiChina
| | - Keyi Wang
- Department of Urology, Shanghai Putuo District People's Hospital, School of MedicineTongji UniversityShanghaiChina
- Department of Urology, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiShanghaiChina
| | - Weipu Mao
- Department of UrologyAffiliated Zhongda Hospital of Southeast UniversityNanjingChina
| | - Bo Peng
- Department of Urology, Shanghai Tenth People's Hospital, School of MedicineTongji UniversityShanghaiShanghaiChina
- Shanghai Clinical CollegeAnhui Medical UniversityShanghaiChina
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Meng F, Xiao Y, Xie L, Liu Q, Qian K. Diagnostic and prognostic value of ABC transporter family member ABCG1 gene in clear cell renal cell carcinoma. Channels (Austin) 2021; 15:375-385. [PMID: 33825659 PMCID: PMC8032227 DOI: 10.1080/19336950.2021.1909301] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/15/2021] [Accepted: 03/15/2021] [Indexed: 12/24/2022] Open
Abstract
As the most common histologic subtype of renal cancer, clear cell renal cell carcinoma (ccRCC) poses a serious threat to public health. However, there are no specific molecular-targeted drugs for ccRCC at present. Human ATP-binding cassette (ABC) transporter family plays an important role in homeostasis maintenance. This study aimed to evaluate the potential diagnostic value of ABC genes in ccRCC. A total of 952 samples of ccRCC patients (707) and controls (245) from three different datasets were included for analysis. Receiver operating characteristic analysis and t-test were used to analyze the differential expression of ABC genes in ccRCC patients and control samples at mRNA level during screening and validations. The Cancer Genome Atlas (TCGA-ccRCC) dataset was utilized to investigate the correlation between ABC genes expression and prognostic value in ccRCC. We then investigated the interactions between ABCG1 and proteins in the Comparative Toxicogenomics Database (CTD). Finally, we found that ATP-binding cassette transporter G member 1 (ABCG1) was over-expressed in ccRCC patients compared with healthy samples at mRNA level. Cox regression analysis and Kaplan-Meier analysis showed that ccRCC patients with high ABCG1 expression had better overall survival (OS) than those patients with low expression (hazard ratio (HR) = 0.662, p = 0.007). This study demonstrated that ABCG1 is a potential diagnostic and prognostic biomarker in ccRCC and discussed the molecular mechanisms underlying the relationship between ccRCC and ABCG1, which might provide guidance for better management and treatment of ccRCC in the future.
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Affiliation(s)
- Fucheng Meng
- Department of Infection Control, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Department of Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Yafei Xiao
- Department of Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Longxiang Xie
- Department of Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Qiao Liu
- Department of Pediatric Dentistry, Stomatological Hospital of Chongqing Medical University, Chongqing, China
| | - Keli Qian
- Department of Infection Control, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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3
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Sun F, Chen Z, Yao P, Weng B, Liu Z, Cheng L. Meta-Analysis of ABCG2 and ABCB1 Polymorphisms With Sunitinib-Induced Toxicity and Efficacy in Renal Cell Carcinoma. Front Pharmacol 2021; 12:641075. [PMID: 33762959 PMCID: PMC7982400 DOI: 10.3389/fphar.2021.641075] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 01/19/2021] [Indexed: 11/13/2022] Open
Abstract
Background: ABCG2 and ABCB1 are genes related to the pharmacokinetics of sunitinib and have been associated with its toxicity and efficacy. However, the results have been controversial. This study aimed to evaluate the associations of ABCG2 and ABCB1 polymorphisms with sunitinib-induced toxicity and efficacy in renal cell carcinoma (RCC) by meta-analysis. Methods: PubMed, EMBASE, Cochrane Library, and Web of Science were systematically searched for studies investigating the associations of the ABCG2 rs2231142 polymorphism with sunitinib-induced toxicity and the associations of the ABCB1 rs1128503 and ABCB1 rs2032582 polymorphisms with sunitinib-induced toxicity and clinical outcomes. The associations were evaluated by effect size (ES) with 95% confidence intervals (CIs). Results: Eight and five studies were included in the toxicity and efficacy analysis, respectively, including a total of 1081 RCC patients. The ABCG2 rs2231142 A allele was associated with an increased risk of sunitinib-induced thrombocytopenia and hand-foot syndrome (HFS) in Asians (ES = 1.65, 95% CI = 1.15-2.36, p = 0.006; ES = 1.52, 95% CI = 1.02-2.27, p = 0.041). However, the ABCG2 rs2231142 polymorphism was not associated with sunitinib-induced hypertension or neutropenia (ES = 1.09, 95% CI = 0.69-1.73, p = 0.701; ES = 0.87, 95% CI = 0.57-1.31, p = 0.501). Compared with the C allele, the ABCB1 rs1128503 T allele was associated with a decreased risk of sunitinib-induced hypertension but worse progression-free survival (PFS) (ES = 0.44, 95% CI = 0.26-0.77, p = 0.004; ES = 1.36, 95% CI = 1.07-1.73, p = 0.011). There was no significant association between the T allele or C allele of ABCB1 rs1128503 and overall survival (OS) (ES = 0.82, 95% CI = 0.61-1.10, p = 0.184). The ABCB1 rs2032582 T allele was associated with worse PFS than the other alleles (ES = 1.46, 95% CI = 1.14-1.87, p = 0.003), while there was no significant association between the T allele or other alleles and sunitinib-induced hypertension, HFS, or OS (ES = 0.77, 95% CI = 0.46-1.29, p = 0.326; ES = 1.02, 95% CI = 0.65-1.62, p = 0.919; ES = 1.32, 95% CI = 0.85-2.05, p = 0.215). Conclusion: The results indicate that the ABCG2 rs2231142 polymorphism may serve as a predictor of sunitinib-induced thrombocytopenia and HFS in Asians, while the ABCB1 rs1128503 polymorphism may serve as a predictor of sunitinib-induced hypertension, and both the ABCB1 rs1128503 and rs2032582 polymorphisms may serve as predictors of PFS in RCC. These results suggest a possible application of individualized use of sunitinib according to the genetic background of patients.
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Affiliation(s)
- Fengjun Sun
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhuo Chen
- Department of Pharmacy, Chongqing Emergency Medical Center, Chongqing, China
| | - Pu Yao
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Bangbi Weng
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Zhirui Liu
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
| | - Lin Cheng
- Department of Pharmacy, The First Affiliated Hospital of Third Military Medical University (Army Medical University), Chongqing, China
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4
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Hopkins AM, Menz BD, Wiese MD, Kichenadasse G, Gurney H, McKinnon RA, Rowland A, Sorich MJ. Nuances to precision dosing strategies of targeted cancer medicines. Pharmacol Res Perspect 2020; 8:e00625. [PMID: 32662214 PMCID: PMC7358594 DOI: 10.1002/prp2.625] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 06/22/2020] [Accepted: 06/22/2020] [Indexed: 01/05/2023] Open
Abstract
Selecting the dose of a targeted cancer medicine that is most appropriate for a specific individual is a rational approach to maximize therapeutic outcomes and minimize toxicity. There are many different options for optimizing the dose of targeted cancer medicines and the purpose of this review is to provide a comprehensive comparison of the main options explored in prospective studies. Precision initial dose selection of targeted cancer therapies has been minimally explored to date; however, concentration, toxicity, and therapeutic outcome markers are used to guide on-therapy dose adaption of targeted cancer therapies across several medicines and cancers. While a specific concentration, toxicity, or therapeutic outcome marker commonly dominates an investigated precision on-therapy dose adaption strategy, greater attention to simultaneously account for exposure, toxicity, therapeutic outcomes, disease status, time since treatment initiation and patient preferences are required for optimal patient outcomes. To enable successful implementation of precision dosing strategies for targeted cancer medicines into clinical practice, future prospective studies aiming to develop strategies should consider these elements in their design.
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Affiliation(s)
- Ashley M. Hopkins
- College of Medicine and Public HealthFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Bradley D. Menz
- Division of PharmacySouthern Adelaide Local Health Network, Flinders Medical CentreAdelaideSouth AustraliaAustralia
| | - Michael D. Wiese
- School of Pharmacy and Medical SciencesUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Ganessan Kichenadasse
- College of Medicine and Public HealthFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Howard Gurney
- Department of Medical OncologyWestmead HospitalSydneyNew South WalesAustralia
| | - Ross A. McKinnon
- College of Medicine and Public HealthFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Andrew Rowland
- College of Medicine and Public HealthFlinders UniversityAdelaideSouth AustraliaAustralia
| | - Michael J. Sorich
- College of Medicine and Public HealthFlinders UniversityAdelaideSouth AustraliaAustralia
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5
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Abstract
Metastatic renal cell carcinoma (mRCC) is an incurable malignancy, characterized by its resistance to traditional chemotherapy, radiation, and hormonal therapy. Treatment perspectives and prognosis of patients with mRCC have been significantly improved by advances in the understanding of its molecular pathogenesis, which have led to the development of targeted therapeutics. Different molecular factors derived from the tumor or the host detected in both tissue or serum could be predictive of therapeutic benefit. Some of them suggest a rational selection of patients to be treated with certain therapies, though none have been validated for routine use. This article provides an overview of both clinical and molecular factors associated with predictive or prognostic value in mRCC and emphasizes that both should be considered in parallel to provide the most appropriate, individualized treatment and achieve the best outcomes in clinical practice.
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6
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Matsuda H, Campion CG, Fujiwara K, Ikeda J, Cossette S, Verissimo T, Ogasawara M, Gaboury L, Saito K, Yamaguchi K, Takahashi S, Endo M, Fukuda N, Soma M, Hamet P, Tremblay J. HCaRG/COMMD5 inhibits ErbB receptor-driven renal cell carcinoma. Oncotarget 2017; 8:69559-69576. [PMID: 29050225 PMCID: PMC5642500 DOI: 10.18632/oncotarget.18012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Accepted: 05/08/2017] [Indexed: 11/25/2022] Open
Abstract
Hypertension-related, calcium-regulated gene (HCaRG/COMMD5) is highly expressed in renal proximal tubules, where it contributes to the control of cell proliferation and differentiation. HCaRG accelerates tubular repair by facilitating re-differentiation of injured proximal tubular epithelial cells, thus improving mouse survival after acute kidney injury. Sustained hyper-proliferation and de-differentiation are important hallmarks of tumor progression. Here, we demonstrate that cancer cells overexpressing HCaRG maintain a more differentiated phenotype, while several of them undergo autophagic cell death. Its overexpression in mouse renal cell carcinomas led to smaller tumor size with less tumor vascularization in a homograft tumor model. Mechanistically, HCaRG promotes de-phosphorylation of the proto-oncogene erythroblastosis oncogene B (ErbB)2/HER2 and epigenetic gene silencing of epidermal growth factor receptor and ErbB3 via promoter methylation. Extracellular signal-regulated kinase, AKT and mammalian target of rapamycin which mediate ErbB-dowstream signaling pathways are inactivated by HCaRG expression. In addition, HCaRG is underexpressed in human renal cell carcinomas and more expressed in normal tissue adjacent to renal cell carcinomas of patients with favorable prognosis. Taken together, our data suggest a role for HCaRG in the inhibition of tumor progression as a natural inhibitor of the ErbB signals in cancer and as a potential prognostic marker for renal cell carcinomas.
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Affiliation(s)
- Hiroyuki Matsuda
- Centre de recherche, Centre hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada, H3T 1J4
- Division of General Medicine, Department of Internal Medicine, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Carole G. Campion
- Centre de recherche, Centre hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9
| | - Kyoko Fujiwara
- Division of General Medicine, Department of Internal Medicine, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Jin Ikeda
- Division of General Medicine, Department of Internal Medicine, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Suzanne Cossette
- Centre de recherche, Centre hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9
| | - Thomas Verissimo
- Centre de recherche, Centre hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9
| | - Maiko Ogasawara
- Division of General Medicine, Department of Internal Medicine, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Louis Gaboury
- Institut de Recherche en Immunologie et Cancérologie (IRIC), Université de Montréal, Pavillon Marcelle-Coutu, Québec, Canada, H3T 1J4
- Department of Pathology and Cell Biology, Université de Montréal, Montréal, Québec, Canada, H3T 1J4
| | - Kosuke Saito
- Division of General Medicine, Department of Internal Medicine, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Kenya Yamaguchi
- Department of Urology, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Satoru Takahashi
- Department of Urology, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Morito Endo
- Faculty of Human Health Science, Hachinohe Gakuin University, Hachinohe, Aomori, Japan, 031-8588
| | - Noboru Fukuda
- University Research Center, Nihon University, Chiyoda-ku, Tokyo, Japan, 102-8251
| | - Masayoshi Soma
- Division of General Medicine, Department of Internal Medicine, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610
| | - Pavel Hamet
- Centre de recherche, Centre hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada, H3T 1J4
| | - Johanne Tremblay
- Centre de recherche, Centre hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9
- Department of Medicine, Université de Montréal, Montréal, Québec, Canada, H3T 1J4
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7
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Cebrián A, Gómez Del Pulgar T, Méndez-Vidal MJ, Gonzálvez ML, Lainez N, Castellano D, García-Carbonero I, Esteban E, Sáez MI, Villatoro R, Suárez C, Carrato A, Munárriz-Ferrándiz J, Basterrechea L, García-Alonso M, González-Larriba JL, Perez-Valderrama B, Cruz-Jurado J, González Del Alba A, Moreno F, Reynés G, Rodríguez-Remírez M, Boni V, Mahillo-Fernández I, Martin Y, Viqueira A, García-Foncillas J. Functional PTGS2 polymorphism-based models as novel predictive markers in metastatic renal cell carcinoma patients receiving first-line sunitinib. Sci Rep 2017; 7:41371. [PMID: 28117391 PMCID: PMC5259767 DOI: 10.1038/srep41371] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 11/25/2016] [Indexed: 01/29/2023] Open
Abstract
Sunitinib is the currently standard treatment for metastatic renal cell carcinoma (mRCC). Multiple candidate predictive biomarkers for sunitinib response have been evaluated but none of them has been implemented in the clinic yet. The aim of this study was to analyze single nucleotide polymorphisms (SNPs) in genes linked to mode of action of sunitinib and immune response as biomarkers for mRCC. This is a multicenter, prospective and observational study involving 20 hospitals. Seventy-five mRCC patients treated with sunitinib as first line were used to assess the impact of 63 SNPs in 31 candidate genes on clinical outcome. rs2243250 (IL4) and rs5275 (PTGS2) were found to be significantly associated with shorter cancer-specific survival (CSS). Moreover, allele C (rs5275) was associated with higher PTGS2 expression level confirming its functional role. Combination of rs5275 and rs7651265 or rs2243250 for progression free survival (PFS) or CSS, respectively, was a more valuable predictive biomarker remaining significant after correction for multiple testing. It is the first time that association of rs5275 with survival in mRCC patients is described. Two-SNP models containing this functional variant may serve as more predictive biomarkers for sunitinib and could suppose a clinically relevant tool to improve the mRCC patient management.
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Affiliation(s)
| | | | | | | | - Nuria Lainez
- Complejo Hospitalario de Navarra, Pamplona, Spain
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8
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García-Donas J, Beuselinck B, Inglada-Pérez L, Graña O, Schöffski P, Wozniak A, Bechter O, Apellániz-Ruiz M, Leandro-García LJ, Esteban E, Castellano DE, González Del Alba A, Climent MA, Hernando S, Arranz JA, Morente M, Pisano DG, Robledo M, Rodriguez-Antona C. Deep sequencing reveals microRNAs predictive of antiangiogenic drug response. JCI Insight 2016; 1:e86051. [PMID: 27699216 DOI: 10.1172/jci.insight.86051] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
The majority of metastatic renal cell carcinoma (RCC) patients are treated with tyrosine kinase inhibitors (TKI) in first-line treatment; however, a fraction are refractory to these antiangiogenic drugs. MicroRNAs (miRNAs) are regulatory molecules proven to be accurate biomarkers in cancer. Here, we identified miRNAs predictive of progressive disease under TKI treatment through deep sequencing of 74 metastatic clear cell RCC cases uniformly treated with these drugs. Twenty-nine miRNAs were differentially expressed in the tumors of patients who progressed under TKI therapy (P values from 6 × 10-9 to 3 × 10-3). Among 6 miRNAs selected for validation in an independent series, the most relevant associations corresponded to miR-1307-3p, miR-155-5p, and miR-221-3p (P = 4.6 × 10-3, 6.5 × 10-3, and 3.4 × 10-2, respectively). Furthermore, a 2 miRNA-based classifier discriminated individuals with progressive disease upon TKI treatment (AUC = 0.75, 95% CI, 0.64-0.85; P = 1.3 × 10-4) with better predictive value than clinicopathological risk factors commonly used. We also identified miRNAs significantly associated with progression-free survival and overall survival (P = 6.8 × 10-8 and 7.8 × 10-7 for top hits, respectively), and 7 overlapped with early progressive disease. In conclusion, this is the first miRNome comprehensive study, to our knowledge, that demonstrates a predictive value of miRNAs for TKI response and provides a new set of relevant markers that can help rationalize metastatic RCC treatment.
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Affiliation(s)
- Jesús García-Donas
- Oncology Unit, HM Hospitales - Centro Integral Oncológico HM Clara Campal, Madrid, Spain.,Spanish Oncology Genitourinary Group, Madrid, Spain
| | - Benoit Beuselinck
- Department of General Medical Oncology, University Hospitals Leuven, and.,Laboratory for Experimental Oncology, KU Leuven, Leuven, Belgium
| | - Lucía Inglada-Pérez
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre, Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras, Madrid, Spain
| | - Osvaldo Graña
- Bioinformatics Unit, Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid, Spain
| | - Patrick Schöffski
- Department of General Medical Oncology, University Hospitals Leuven, and.,Laboratory for Experimental Oncology, KU Leuven, Leuven, Belgium
| | | | - Oliver Bechter
- Department of General Medical Oncology, University Hospitals Leuven, and.,Laboratory for Experimental Oncology, KU Leuven, Leuven, Belgium
| | - Maria Apellániz-Ruiz
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre, Madrid, Spain
| | - Luis Javier Leandro-García
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre, Madrid, Spain
| | - Emilio Esteban
- Spanish Oncology Genitourinary Group, Madrid, Spain.,Hospital Universitario Central de Asturias, Oviedo, Spain
| | - Daniel E Castellano
- Spanish Oncology Genitourinary Group, Madrid, Spain.,Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Aranzazu González Del Alba
- Spanish Oncology Genitourinary Group, Madrid, Spain.,Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Miguel Angel Climent
- Spanish Oncology Genitourinary Group, Madrid, Spain.,Fundación Instituto Valenciano de Oncología, Valencia, Spain
| | - Susana Hernando
- Spanish Oncology Genitourinary Group, Madrid, Spain.,Hospital Universitario Fundación Alcorcón, Madrid, Spain
| | - José Angel Arranz
- Spanish Oncology Genitourinary Group, Madrid, Spain.,Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Manuel Morente
- Tumour Bank Unit, Spanish National Cancer Research Centre, Madrid, Spain
| | - David G Pisano
- Bioinformatics Unit, Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre, Madrid, Spain
| | - Mercedes Robledo
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre, Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras, Madrid, Spain
| | - Cristina Rodriguez-Antona
- Hereditary Endocrine Cancer Group, Human Cancer Genetics Programme, Spanish National Cancer Research Centre, Madrid, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Raras, Madrid, Spain
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9
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Diekstra MHM, Swen JJ, Gelderblom H, Guchelaar HJ. A decade of pharmacogenomics research on tyrosine kinase inhibitors in metastatic renal cell cancer: a systematic review. Expert Rev Mol Diagn 2016; 16:605-18. [PMID: 26837796 DOI: 10.1586/14737159.2016.1148601] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The individual response to targeted tyrosine kinase inhibitors (TKIs) in the treatment of metastatic renal cell cancer (mRCC) is highly variable. Outlined in this article are findings on potential biomarkers for TKI treatment outcome in mRCC and an evaluation of the status of clinical implementation. METHODS Articles were selected by two independent reviewers using a systematic search in five medical databases on renal cell carcinoma, TKIs, and pharmacogenetics. RESULTS Many researchers have focused on predictive biomarkers for treatment outcome of targeted therapies in mRCC patients. Attempts to explain differences in efficacy and toxicity of TKIs by use of genetic variants in genes related to the pharmacokinetics and pharmacodynamics of the drug have been successful. CONCLUSION Most findings on potential biomarkers have not been validated and therefore biomarker testing to guide choice of therapy and dose in mRCC is not yet feasible.
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Affiliation(s)
- Meta H M Diekstra
- a Department of Clinical Pharmacy and Toxicology , Leiden University Medical Center , Leiden , Netherlands
| | - Jesse J Swen
- a Department of Clinical Pharmacy and Toxicology , Leiden University Medical Center , Leiden , Netherlands
| | - Hans Gelderblom
- b Department of Medical Oncology , Leiden University Medical Center , Leiden , Netherlands
| | - Henk-Jan Guchelaar
- a Department of Clinical Pharmacy and Toxicology , Leiden University Medical Center , Leiden , Netherlands
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10
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Haddad AQ, Margulis V. Tumour and patient factors in renal cell carcinoma-towards personalized therapy. Nat Rev Urol 2015; 12:253-62. [PMID: 25868564 DOI: 10.1038/nrurol.2015.71] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Renal cell carcinoma (RCC) comprises a heterogeneous group of histologically and molecularly distinct tumour subtypes. Current targeted therapies have improved survival in patients with advanced disease but complete response occurs rarely, if at all. The genomic characterization of RCC is central to the development of novel targeted therapies. Large-scale studies employing multiple 'omics' platforms have led to the identification of key driver genes and commonly altered pathways. Specific molecular alterations and signatures that correlate with tumour phenotype and clinical outcome have been identified and can be harnessed for patient management and counselling. RCC seems to be a remarkably diverse malignancy with significant intratumour and intertumour genetic heterogeneity. The tumour microenvironment is increasingly recognized as a vital regulator of RCC tumour biology. Patient factors, including immune response and drug metabolism, vary widely, which can lead to widely divergent responses to drug therapy. Intratumour heterogeneity poses a significant challenge to the development of personalized therapies in RCC as a single biopsy might not accurately represent the clonal population ultimately responsible for aggressive biologic behaviour. On the other hand, the diversity of genomic alterations in RCC could also afford opportunities for targeting unique pathways based on analysis of an individual tumour's molecular composition.
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Affiliation(s)
- Ahmed Q Haddad
- Department of Urology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA
| | - Vitaly Margulis
- Department of Urology, University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX 75390, USA
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