Literature DB >> 25457974

Predictive biomarkers in renal cell cancer: insights in drug resistance mechanisms.

Johannes C van der Mijn1, James W Mier2, Henk J Broxterman3, Henk M Verheul4.   

Abstract

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, FGFR2 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.
Copyright © 2014. Published by Elsevier Ltd.

Entities:  

Keywords:  Predictive biomarker; Renal cell carcinoma; VEGF targeted therapy

Mesh:

Substances:

Year:  2014        PMID: 25457974     DOI: 10.1016/j.drup.2014.10.003

Source DB:  PubMed          Journal:  Drug Resist Updat        ISSN: 1368-7646            Impact factor:   18.500


  25 in total

1.  The role of interleukin-8 (CXCL8) and CXCR2 in acquired chemoresistance of human colorectal carcinoma cells HCT116.

Authors:  Daiva Dabkeviciene; Violeta Jonusiene; Vilmante Zitkute; Egle Zalyte; Pranas Grigaitis; Vida Kirveliene; Ausra Sasnauskiene
Journal:  Med Oncol       Date:  2015-10-30       Impact factor: 3.064

2.  Silencing miR-454 suppresses cell proliferation, migration and invasion via directly targeting MECP2 in renal cell carcinoma.

Authors:  Huan Liu; Qun-Long Liu; Ting-Shuai Zhai; Jun Lu; Yun-Ze Dong; Yun-Fei Xu
Journal:  Am J Transl Res       Date:  2020-08-15       Impact factor: 4.060

3.  Recurrent renal cell carcinoma: clinical and prognostic value of FDG PET/CT.

Authors:  Pierpaolo Alongi; Maria Picchio; Fabio Zattoni; Marianna Spallino; Luigi Gianolli; Giorgio Saladini; Laura Evangelista
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-08-14       Impact factor: 9.236

4.  Interleukin-16 polymorphisms as new promising biomarkers for risk of gastric cancer.

Authors:  Seyed Mohammad Hossein Kashfi; Faegheh Behboudi Farahbakhsh; Ehsan Nazemalhosseini Mojarad; Kazem Mashayekhi; Pedram Azimzadeh; Sara Romani; Shaghayegh Derakhshani; Habib Malekpour; Hamid Asadzadeh Aghdaei; Mohammad Reza Zali
Journal:  Tumour Biol       Date:  2015-09-07

Review 5.  Resistance to Systemic Therapies in Clear Cell Renal Cell Carcinoma: Mechanisms and Management Strategies.

Authors:  Peter Makhov; Shreyas Joshi; Pooja Ghatalia; Alexander Kutikov; Robert G Uzzo; Vladimir M Kolenko
Journal:  Mol Cancer Ther       Date:  2018-07       Impact factor: 6.261

6.  RNA-seq and Mitochondrial DNA Analysis of Adrenal Gland Metastatic Tissue in a Patient with Renal Cell Carcinoma.

Authors:  Tomoyoshi Komiyama; Hakushi Kim; Masayuki Tanaka; Sanae Isaki; Keiko Yokoyama; Akira Miyajima; Hiroyuki Kobayashi
Journal:  Biology (Basel)       Date:  2022-04-13

7.  Renal carcinoma/kidney progenitor cell chimera organoid as a novel tumorigenesis gene discovery model.

Authors:  Qi Xu; Sanna Junttila; Andreas Scherer; Khem Raj Giri; Oona Kivelä; Ilya Skovorodkin; Juha Röning; Susan E Quaggin; Hans-Peter Marti; Jingdong Shan; Anatoly Samoylenko; Seppo J Vainio
Journal:  Dis Model Mech       Date:  2017-12-19       Impact factor: 5.758

8.  miR-101-3p Serves as a Tumor Suppressor for Renal Cell Carcinoma and Inhibits Its Invasion and Metastasis by Targeting EZH2.

Authors:  Yunze Dong; Yuchen Gao; Tiancheng Xie; Huan Liu; Xiangcheng Zhan; Yunfei Xu
Journal:  Biomed Res Int       Date:  2021-07-07       Impact factor: 3.411

9.  Cooperative Effect of miR-141-3p and miR-145-5p in the Regulation of Targets in Clear Cell Renal Cell Carcinoma.

Authors:  Julia Liep; Ergin Kilic; Hellmuth A Meyer; Jonas Busch; Klaus Jung; Anja Rabien
Journal:  PLoS One       Date:  2016-06-23       Impact factor: 3.240

10.  Decreased expression of RASSF1A tumor suppressor gene is associated with worse prognosis in clear cell renal cell carcinoma.

Authors:  Jakub Klacz; Piotr M Wierzbicki; Agata Wronska; Agnieszka Rybarczyk; Marcin Stanislawowski; Tomasz Slebioda; Agata Olejniczak; Marcin Matuszewski; Zbigniew Kmiec
Journal:  Int J Oncol       Date:  2015-11-18       Impact factor: 5.650

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.