Literature DB >> 17931881

Prognostic factors and selection for clinical studies of patients with kidney cancer.

John S Lam1, Tobias Klatte, Hyung L Kim, Jean-Jacques Patard, Alberto Breda, Amnon Zisman, Allan J Pantuck, Robert A Figlin.   

Abstract

Over the past 2 decades, a greater understanding of the basic biology and genetics of kidney cancer has occurred. Surgical techniques have also evolved, and technological advances have made possible new methods of managing renal tumors. The most extensively used system to provide prognostic information for renal cell carcinoma (RCC) is currently the tumor, nodes, metastasis (TNM) staging system. Emerging data over the last few years has questioned whether further revisions are needed and if improvements can be made with the introduction of new, more accurate and predictive prognostic factors. The recent discovery of molecular tumor biomarkers are expected to revolutionize the staging of RCC and potentially lead to the development of new therapies based on molecular targeting. This review will examine the current staging modalities and prognostic factors associated with RCC as well as the selection of patients most likely to benefit from clinical trials.

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Year:  2007        PMID: 17931881     DOI: 10.1016/j.critrevonc.2007.08.003

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  29 in total

Review 1.  Update on surgical management of renal cell carcinoma with venous extension.

Authors:  Javier González
Journal:  Curr Urol Rep       Date:  2012-02       Impact factor: 3.092

2.  MicroRNA expression signatures of stage, grade, and progression in clear cell RCC.

Authors:  Banumathy Gowrishankar; Ilsiya Ibragimova; Yan Zhou; Michael J Slifker; Karthik Devarajan; Tahseen Al-Saleem; Robert G Uzzo; Paul Cairns
Journal:  Cancer Biol Ther       Date:  2013-12-18       Impact factor: 4.742

3.  Pre-treatment neutrophil-to-lymphocyte ratio predicts tumor pathology in newly diagnosed renal tumors.

Authors:  Boyd R Viers; R Houston Thompson; Christine M Lohse; John C Cheville; Bradley C Leibovich; Stephen A Boorjian; Matthew K Tollefson
Journal:  World J Urol       Date:  2016-04-06       Impact factor: 4.226

4.  Association of Abl interactor 2, ABI2, with platelet/lymphocyte ratio in patients with renal cell carcinoma: A pilot study.

Authors:  Sercan Ergun; Sezgin Gunes; Recep Buyukalpelli; Oguz Aydin
Journal:  Int J Exp Pathol       Date:  2020-06-04       Impact factor: 1.925

Review 5.  Recurrence in Localized Renal Cell Carcinoma: a Systematic Review of Contemporary Data.

Authors:  Jacqueline M Speed; Quoc-Dien Trinh; Toni K Choueiri; Maxine Sun
Journal:  Curr Urol Rep       Date:  2017-02       Impact factor: 3.092

6.  Chest X-ray in the follow-up of renal cell carcinoma.

Authors:  B H J Doornweerd; I J de Jong; L M Bergman; H J K Ananias
Journal:  World J Urol       Date:  2013-10-06       Impact factor: 4.226

7.  Expression and role of VEGFA and miR-381 in portal vein tumor thrombi in patients with hepatocellular carcinoma.

Authors:  Jing Wang; Shuzhi Wu; Tianren Huang
Journal:  Exp Ther Med       Date:  2018-05-03       Impact factor: 2.447

8.  Genomic DNA Hypomethylation and Risk of Renal Cell Carcinoma: A Case-Control Study.

Authors:  Julia Mendoza-Pérez; Jian Gu; Luis A Herrera; Nizar M Tannir; Surena F Matin; Jose A Karam; Maosheng Huang; David W Chang; Christopher G Wood; Xifeng Wu
Journal:  Clin Cancer Res       Date:  2015-12-11       Impact factor: 12.531

9.  CD44 is associated with tumor recurrence and is an independent poor prognostic factor for patients with localized clear cell renal cell carcinoma after nephrectomy.

Authors:  Byung-Joo Jeong; Zhe Long Liang; Song Mei Huang; Jae Sung Lim; Jin Man Kim; Hyo Jin Lee
Journal:  Exp Ther Med       Date:  2012-03-05       Impact factor: 2.447

Review 10.  Tissue biomarkers in renal cell carcinoma: issues and solutions.

Authors:  Arianna Di Napoli; Sabina Signoretti
Journal:  Cancer       Date:  2009-05-15       Impact factor: 6.860

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