Individualized therapy for metastatic renal cell carcinoma

被引:0
作者
Atmaja, Bambang T. [1 ]
Wood, Izabelle [1 ]
Suyanto, Suyanto [1 ]
Sawhney, Paramvir [2 ]
Michael, Agnieszka [1 ]
Pandha, Hardev [1 ]
机构
[1] Royal Surrey Cty Hosp, St Lukes Canc Ctr, Egerton Rd, Guildford GU2 7XX, Surrey, England
[2] UCL, Dept Oncol, Inst Canc, London WC1E 6DD, England
关键词
Metastatic renal cell carcinoma; IMDC; predictive biomarker; individualized therapy; immunotherapy; VEGF; prognosis; VEGF-TARGETED THERAPY; ACTIVE SURVEILLANCE; INTERFERON-ALPHA; SUNITINIB; NIVOLUMAB; GENE; CABOZANTINIB; EXPRESSION; EVEROLIMUS; EFFICACY;
D O I
10.20517/2394-4722.2021.66
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Metastatic Renal Cell Carcinoma (mRCC) is a highly heterogeneous disease that is notoriously difficult to treat successfully. However, the discovery of novel, targeted therapies over the last decade has revolutionized its management. As the therapeutic options continue to evolve, developing a more individualized treatment strategy is of paramount importance. The International mRCC Database Consortium (IMDC) is a prognostic model that is commonly used in trials and clinical settings to risk stratify patients. This allows for optimal therapy selection on a more individual basis. However, the distinct lack of validated predictive biomarkers in mRCC renders it difficult to assess therapy response. An improved understanding of tumor biology and genetics has prompted a shift from cytokine therapy to the use of vascular endothelial growth factor (VEGF) inhibitors, tyrosine kinase Inhibitors, immune checkpoint inhibitors or combination strategies. Studies have identified some putative markers and genetic mutations as potential predictors of therapy response. Early results are promising, and there are many ongoing trials further assessing their suitability for clinical use. This review will evaluate the current treatment landscape and molecular biology of mRCC, with a specific focus on the prognostic and predictive markers available to guide treatment options and further improve patient outcomes.
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页数:14
相关论文
共 82 条
[1]   The association of clinical outcome to first-line VEGF-targeted therapy with clinical outcome to second-line VEGF-targeted therapy in metastatic renal cell carcinoma patients [J].
Al-Marrawi, Mhd Y. ;
Rini, Brian I. ;
Harshman, Lauren C. ;
Bjarnason, Georg ;
Wood, Lori ;
Vaishampayan, Ulka ;
MacKenzie, Mary ;
Knox, Jennifer J. ;
Agarwal, Neeraj ;
Al-Harbi, Hulayel ;
Kollmannsberger, Christian ;
Tan, Min-Han ;
Rha, Sun Young ;
Donskov, Frede N. ;
North, Scott ;
Choueiri, Toni K. ;
Heng, Daniel Y. .
TARGETED ONCOLOGY, 2013, 8 (03) :203-209
[2]  
[Anonymous], Cancer Today
[3]   Nivolumab alone and nivolumab plus ipilimumab in recurrent small-cell lung cancer (CheckMate 032): a multicentre, open-label, phase 1/2 trial [J].
Antonia, Scott J. ;
Lopez-Martin, Jose A. ;
Bendell, Johanna ;
Ott, Patrick A. ;
Taylor, Matthew ;
Eder, Joseph Paul ;
Jaeger, Dirk ;
Pietanza, M. Catherine ;
Le, Dung T. ;
de Braud, Filippo ;
Morse, Michael A. ;
Ascierto, Paolo A. ;
Horn, Leora ;
Amin, Asim ;
Pillai, Rathi N. ;
Evans, Jeffry ;
Chau, Ian ;
Bono, Petri ;
Atmaca, Akin ;
Sharma, Padmanee ;
Harbison, Christopher T. ;
Lin, Chen-Sheng ;
Christensen, Olaf ;
Calvo, Emiliano .
LANCET ONCOLOGY, 2016, 17 (07) :883-895
[4]   Percutaneous Cryoablation of Renal Tumors: Is It Time for a New Paradigm Shift? [J].
Aoun, Hussein D. ;
Littrup, Peter J. ;
Jaber, Mohamed ;
Memon, Fatima ;
Adam, Barbara ;
Krycia, Mark ;
Prus, Matthew ;
Heath, Elisabeth ;
Pontes, Edson .
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY, 2017, 28 (10) :1363-1370
[5]  
Bex A, 2017, ANN ONCOL, V28, pV622
[6]   Distribution of metastatic sites in renal cell carcinoma: a population-based analysis [J].
Bianchi, M. ;
Sun, M. ;
Jeldres, C. ;
Shariat, S. F. ;
Trinh, Q. -D. ;
Briganti, A. ;
Tian, Z. ;
Schmitges, J. ;
Graefen, M. ;
Perrotte, P. ;
Menon, M. ;
Montorsi, F. ;
Karakiewicz, P. I. .
ANNALS OF ONCOLOGY, 2012, 23 (04) :973-980
[7]   Molecular stratification of clear cell renal cell carcinoma by consensus clustering reveals distinct subtypes and survival patterns [J].
Brannon, A. Rose ;
Reddy, Anupama ;
Seiler, Michael ;
Arreola, Alexandra ;
Chen, Shufen ;
Moore, Dominic T. ;
Pruthi, Raj S. ;
Wallen, Eric M. ;
Nielsen, Matthew E. ;
Liu, Huiqing ;
Ljungberg, Borje ;
Zhao, Hongjuan ;
Brooks, James D. ;
Ganesan, Shridar ;
Bhanot, Gyan ;
Rathmell, W. Kimryn .
CANCER RESEARCH, 2010, 70
[8]  
Bray F, 2018, CA-CANCER J CLIN, V68, P394, DOI [10.3322/caac.21492, 10.3322/caac.21609]
[9]  
Cancer research UK, 2020, Kidney cancer statistics
[10]  
Cao G, 2020, BMJ OPEN, V10