Literature DB >> 23972709

Predictive markers in advanced renal cell carcinoma.

M Dror Michaelson1, Walter M Stadler.   

Abstract

Predictive markers of response to therapy are increasingly important in advanced renal cell carcinoma (RCC) due to the proliferation of treatment options in recent years. Different types of potential predictive markers may include clinical, toxicity-based, serum, tissue, and radiologic biomarkers. Clinical factors are commonly used in overall prognostic models of RCC but have limited utility in predicting response to therapy. Correlation between development of particular toxicities and response to therapy has been noted, such as the correlation between hypertension and response to angiogenesis-targeted therapy. Serum and tissue biomarkers will be covered in detail elsewhere, but factors such as serum lactate dehydrogenase (LDH) and circulating cytokines show promise in this regard. Finally, baseline or early treatment radiology studies may have predictive ability for longer term efficacy, with most studies to date focusing on functional imaging modalities such as positron emission tomography (PET) scans, dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI), and DCE ultrasound (US). The ultimate goal of developing predictive biomarkers is to enable rational and personalized treatment strategies for patients with advanced RCC.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23972709     DOI: 10.1053/j.seminoncol.2013.05.001

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  7 in total

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Authors:  Ilaria Lucca; Michela de Martino; Sebastian L Hofbauer; Nura Zamani; Shahrokh F Shariat; Tobias Klatte
Journal:  World J Urol       Date:  2015-04-17       Impact factor: 4.226

2.  The changes of lipid metabolism in advanced renal cell carcinoma patients treated with everolimus: a new pharmacodynamic marker?

Authors:  Francesco Pantano; Matteo Santoni; Giuseppe Procopio; Mimma Rizzo; Roberto Iacovelli; Camillo Porta; Alessandro Conti; Antonio Lugini; Michele Milella; Luca Galli; Cinzia Ortega; Francesco Maria Guida; Marianna Silletta; Giovanni Schinzari; Elena Verzoni; Daniela Modica; Pierfilippo Crucitti; Annamaria Rauco; Alessandra Felici; Valentina Ballatore; Stefano Cascinu; Giuseppe Tonini; Giacomo Carteni; Antonio Russo; Daniele Santini
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

3.  Aberrant methylation of PCDH8 is a potential prognostic biomarker for patients with clear cell renal cell carcinoma.

Authors:  Ying-Li Lin; Yan-Ling Wang; Xing-Li Fu; Jian-Guo Ma
Journal:  Med Sci Monit       Date:  2014-11-22

4.  Sunitinib-induced hypothyroidism predicts progression-free survival in metastatic renal cell carcinoma patients.

Authors:  Anna Buda-Nowak; Jakub Kucharz; Paulina Dumnicka; Marek Kuzniewski; Roman Maria Herman; Aneta L Zygulska; Beata Kusnierz-Cabala
Journal:  Med Oncol       Date:  2017-03-25       Impact factor: 3.064

5.  Predictive value of preoperative monocyte-lymphocyte ratio among patients with localized clear renal cell carcinoma of ≤7 cm on preoperative imaging.

Authors:  Ahmed Elghiaty; Jongchan Kim; Won Sik Jang; Jee Soo Park; Ji Eun Heo; Koon Ho Rha; Young Deuk Choi; Won Sik Ham
Journal:  Medicine (Baltimore)       Date:  2018-11       Impact factor: 1.817

Review 6.  Axitinib in the treatment of renal cell carcinoma: patient selection and perspectives.

Authors:  Vivek Narayan; Naomi Balzer Haas
Journal:  Int J Nephrol Renovasc Dis       Date:  2016-03-29

Review 7.  Pathophysiology of anorexia in the cancer cachexia syndrome.

Authors:  Chukwuemeka Charles Ezeoke; John E Morley
Journal:  J Cachexia Sarcopenia Muscle       Date:  2015-10-27       Impact factor: 12.910

  7 in total

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