Predictive biomarkers in renal cell cancer: Insights in drug resistance mechanisms

被引:56
|
作者
van der Mijn, Johannes C. [1 ,2 ,3 ]
Mier, James W. [2 ,3 ]
Broxterman, Henk J. [1 ]
Verheul, Henk M. [1 ]
机构
[1] Vrije Univ Amsterdam, Med Ctr, Dept Med Oncol, NL-1081 HV Amsterdam, Netherlands
[2] Beth Israel Deaconess Med Ctr, Dept Hematol Oncol, Boston, MA 02215 USA
[3] Harvard Univ, Sch Med, Boston, MA 02115 USA
关键词
Renal cell carcinoma; VEGF targeted therapy; Predictive biomarker; ENDOTHELIAL GROWTH-FACTOR; PROGRESSION-FREE SURVIVAL; SINGLE-NUCLEOTIDE POLYMORPHISMS; TYROSINE KINASE INHIBITORS; VEGF-TARGETED THERAPY; TUMOR RESPONSE; ANTIANGIOGENIC THERAPY; SORAFENIB THERAPY; JAPANESE PATIENTS; INTERFERON-ALPHA;
D O I
10.1016/j.drup.2014.10.003
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Introduction: VEGF-targeted therapy is currently the first line treatment for patients with metastatic clear cell renal cell carcinoma (ccRCC), but most patients either display primary (intrinsic) resistance or acquire drug resistance. In recent years multiple mechanisms of resistance to VEGF-targeted therapy emerged from preclinical research, but it is currently unknown to what extent these drug resistance modalities play a role in the clinic. Here we reviewed the current literature on biomarkers that predict treatment outcome in patients with ccRCC to gain insight in clinical drug resistance mechanisms. Methods: A search syntax was compiled by combining different synonyms of "biomarker" AND "renal" AND "cancer". MEDLINE was accessed through PubMed, where this syntax was entered and used to search titles and abstracts of publications. Articles were selected based on three criteria: (1) description of patients with clear cell RCC, (2) treatment with VEGF targeted therapy and (3) discussion of biomarkers that were studied for potential association with treatment response. Results: The literature search was performed on March 4th 2014 and yielded 1882 articles. After carefully reading the titles and abstracts based on the three previously mentioned criteria, 103 publications were evaluated. Backward citation screening was performed on all eligible studies and revealed another 24 articles. This search revealed that (1) High glucose uptake and low contrast enhancement on PET- and CT-imaging before start of treatment may correlate with poor response to therapy, (2) Low dose intensity due to treatment intolerance is related to shorter progression free survival. (3) Acquired resistance appears to be associated with rebound vascularization based on both longitudinal monitoring of contrast enhancement by CT and blood vessel counts in tumor tissue, and (4) Based on plasma cytokine and single nucleotide polymorphism (SNP) studies, interleukin-8, VEGFR-3, FGER2 and HGF/MET emerged as potential clinical markers for chemoresistance. Conclusion: Low dose intensity, specific tumor-imaging techniques and potential biological biomarkers may be predictive for response to VEGF-targeted therapy in ccRCC. Some of these plausible biomarkers may also provide more insight into the underlying mechanisms of resistance such as altered glucose metabolism and rapid rebound vascularization. (C) 2014 Published by Elsevier Ltd.
引用
收藏
页码:77 / 88
页数:12
相关论文
共 50 条
  • [1] Renal Cell Cancer - Insights in Drug Resistance Mechanisms
    Aweys, Halima
    Lewis, Deisha
    Sheriff, Matin
    Rabbani, Rukhshana Dina
    Lapitan, Patricia
    Sanchez, Elisabet
    Papadopoulos, Vasileios
    Ghose, Aruni
    Boussios, Stergios
    ANTICANCER RESEARCH, 2023, 43 (11) : 4781 - 4792
  • [2] Sunitinib resistance in renal cell carcinoma: From molecular mechanisms to predictive biomarkers
    Jin, Juan
    Xie, Yuhao
    Zhang, Jin-Shi
    Wang, Jing-Quan
    Dai, Shi-Jie
    He, Wen-fang
    Li, Shou-Ye
    Ashby Jr, Charles R.
    Chen, Zhe-Sheng
    He, Qiang
    DRUG RESISTANCE UPDATES, 2023, 67
  • [3] Mechanisms and insights into drug resistance in cancer
    Zahreddine, Hiba
    Borden, Katherine L. B.
    FRONTIERS IN PHARMACOLOGY, 2013, 4
  • [4] Molecular mechanisms of drug resistance in renal cancer
    Szenajch, Jolanta
    Cieslak, Agata
    WSPOLCZESNA ONKOLOGIA-CONTEMPORARY ONCOLOGY, 2005, 9 (03): : 123 - 128
  • [5] Proteomics for identifying mechanisms and biomarkers of drug resistance in cancer
    Li, Xin-Hui
    Li, Cui
    Xiao, Zhi-Qiang
    JOURNAL OF PROTEOMICS, 2011, 74 (12) : 2642 - 2649
  • [6] New frontiers against sorafenib resistance in renal cell carcinoma: From molecular mechanisms to predictive biomarkers
    He, Yu
    Luo, Yang
    Huang, Lan
    Zhang, Dan
    Wang, Xixi
    Ji, Jiayi
    Liang, Shufang
    PHARMACOLOGICAL RESEARCH, 2021, 170
  • [7] Taxane resistance in breast cancer: Mechanisms, predictive biomarkers and circumvention strategies
    Murray, S.
    Briasoulis, E.
    Linardou, H.
    Bafaloukos, D.
    Papadimitriou, C.
    CANCER TREATMENT REVIEWS, 2012, 38 (07) : 890 - 903
  • [8] Immunotherapy Resistance Mechanisms in Renal Cell Cancer
    Kaminska, Katarzyna
    Wcislo, Gabriel
    Czarnecka, Anna M.
    Chouaib, Salem
    Szczylik, Cezary
    CURRENT SIGNAL TRANSDUCTION THERAPY, 2013, 8 (03) : 247 - 255
  • [9] Predictive Biomarkers of Response to Immunotherapy in Metastatic Renal Cell Cancer
    Raimondi, Alessandra
    Sepe, Pierangela
    Zattarin, Emma
    Mennitto, Alessia
    Stellato, Marco
    Claps, Melanie
    Guadalupi, Valentina
    Verzoni, Elena
    de Braud, Filippo
    Procopio, Giuseppe
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [10] Personalized Cancer Medicine: Molecular Diagnostics, Predictive Biomarkers, and Drug Resistance
    de Castro, D. Gonzalez
    Clarke, P. A.
    Al-Lazikani, B.
    Workman, P.
    CLINICAL PHARMACOLOGY & THERAPEUTICS, 2013, 93 (03) : 252 - 259