Literature DB >> 20052733

p53 and MDM2 in renal cell carcinoma: biomarkers for disease progression and future therapeutic targets?

Aidan P Noon1, Nikolina Vlatković, Radosław Polański, Maria Maguire, Howida Shawki, Keith Parsons, Mark T Boyd.   

Abstract

Renal cell carcinoma (RCC) is the most common type of kidney cancer and follows an unpredictable disease course. To improve prognostication, a better understanding of critical genes associated with disease progression is required. The objective of this review was to focus attention on 2 such genes, p53 and murine double minute 2 (MDM2), and to provide a comprehensive summary and critical analysis of the literature regarding these genes in RCC. Information was compiled by searching the PubMed database for articles that were published or e-published up to April 1, 2009. Search terms included renal cancer, renal cell carcinoma, p53, and MDM2. Full articles and any supplementary data were examined; and, when appropriate, references were checked for additional material. All studies that described assessment of p53 and/or MDM2 in renal cancer were included. The authors concluded that increased p53 expression, but not p53 mutation, is associated with reduced overall survival/more rapid disease progression in RCC. There also was evidence that MDM2 up-regulation is associated with decreased disease-specific survival. Two features of RCC stood out as unusual and will require further investigation. First, increased p53 expression is tightly linked with increased MDM2 expression; and, second, patients who have tumors that display increased p53 and MDM2 expression may have the poorest overall survival. Because there was no evidence to support the conclusion that p53 mutation is associated with poorer survival, it seemed clear that increased p53 expression in RCC occurs independent of mutation. Further investigation of the mechanisms leading to increased p53/MDM2 expression in RCC may lead to improved prognostication and to the identification of novel therapeutic interventions.

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Year:  2010        PMID: 20052733      PMCID: PMC3536467          DOI: 10.1002/cncr.24841

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  80 in total

1.  Molecular signatures of localized clear cell renal cell carcinoma to predict disease-free survival after nephrectomy.

Authors:  Tobias Klatte; David B Seligson; Jeffrey LaRochelle; Brian Shuch; Jonathan W Said; Stephen B Riggs; Nazy Zomorodian; Fairooz F Kabbinavar; Allan J Pantuck; Arie S Belldegrun
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-02-24       Impact factor: 4.254

2.  p53 is an independent predictor of tumor recurrence and progression after nephrectomy in patients with localized renal cell carcinoma.

Authors:  Oleg Shvarts; David Seligson; John Lam; Tao Shi; Steve Horvath; Robert Figlin; Arie Belldegrun; Allan J Pantuck
Journal:  J Urol       Date:  2005-03       Impact factor: 7.450

Review 3.  Renal-cell carcinoma.

Authors:  R J Motzer; N H Bander; D M Nanus
Journal:  N Engl J Med       Date:  1996-09-19       Impact factor: 91.245

Review 4.  Assessing TP53 status in human tumours to evaluate clinical outcome.

Authors:  T Soussi; C Béroud
Journal:  Nat Rev Cancer       Date:  2001-12       Impact factor: 60.716

5.  Value of immunohistochemical Ki-67 and p53 determinations as predictive factors of outcome in renal cell carcinoma.

Authors:  N Rioux-Leclercq; B Turlin; J Bansard; J Patard; A Manunta; J P Moulinoux; F Guillé; M P Ramée; B Lobel
Journal:  Urology       Date:  2000-04       Impact factor: 2.649

6.  Expression of bcl-2, p53 oncoprotein, and proliferating cell nuclear antigen in renal cell carcinoma.

Authors:  T Sejima; I Miyagawa
Journal:  Eur Urol       Date:  1999       Impact factor: 20.096

7.  p53 regulation and function in renal cell carcinoma.

Authors:  Hazel E Warburton; Mark Brady; Nikolina Vlatković; W Marston Linehan; Keith Parsons; Mark T Boyd
Journal:  Cancer Res       Date:  2005-08-01       Impact factor: 12.701

Review 8.  To die or not to die: how does p53 decide?

Authors:  Elizabeth A Slee; Daniel J O'Connor; Xin Lu
Journal:  Oncogene       Date:  2004-04-12       Impact factor: 9.867

9.  Association of immunohistochemical staining for p53 with metastatic progression and poor survival in patients with renal cell carcinoma.

Authors:  D L Uhlman; P L Nguyen; J C Manivel; D Aeppli; J M Resnick; E E Fraley; G Zhang; G A Niehans
Journal:  J Natl Cancer Inst       Date:  1994-10-05       Impact factor: 13.506

10.  MDM2 SNP309 polymorphism as risk factor for susceptibility and poor prognosis in renal cell carcinoma.

Authors:  Hiroshi Hirata; Yuji Hinoda; Nobuyuki Kikuno; Ken Kawamoto; Yutaka Suehiro; Yuichiro Tanaka; Rajvir Dahiya
Journal:  Clin Cancer Res       Date:  2007-07-15       Impact factor: 12.531

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  40 in total

Review 1.  How far is the horizon? From current targets to future drugs in advanced renal cancer.

Authors:  Stephan Kruck; Axel S Merseburger; Arnulf Stenzl; Jens Bedke
Journal:  World J Urol       Date:  2013-05-09       Impact factor: 4.226

Review 2.  Attenuating the p53 Pathway in Human Cancers: Many Means to the Same End.

Authors:  Amanda R Wasylishen; Guillermina Lozano
Journal:  Cold Spring Harb Perspect Med       Date:  2016-08-01       Impact factor: 6.915

3.  RNA interference against MDM2 suppresses tumor growth and metastasis in pancreatic carcinoma SW1990HM cells.

Authors:  Weidong Shi; Zhiqiang Meng; Zhen Chen; Yongqiang Hua; Huifeng Gao; Peng Wang; Junhua Lin; Zhenhua Zhou; Jianmin Luo; Luming Liu
Journal:  Mol Cell Biochem       Date:  2011-12-27       Impact factor: 3.396

4.  Association between murine double minute 2 T309G polymorphism and risk of liver cancer.

Authors:  Tao Tang; Xin Song; Zhiying Yang; Linping Huang; Wenyue Wang; Haidong Tan
Journal:  Tumour Biol       Date:  2014-08-14

5.  Exploring the role of miRNAs in renal cell carcinoma progression and metastasis through bioinformatic and experimental analyses.

Authors:  Heba W Z Khella; Nicole M A White; Hala Faragalla; Manal Gabril; Mina Boazak; David Dorian; Bishoy Khalil; Hany Antonios; Tian Tian Bao; Maria D Pasic; R John Honey; Robert Stewart; Kenneth T Pace; Georg A Bjarnason; Michael A S Jewett; George M Yousef
Journal:  Tumour Biol       Date:  2011-11-16

6.  The Codon 72 TP53 Polymorphism Contributes to TSC Tumorigenesis through the Notch-Nodal Axis.

Authors:  Jun-Hung Cho; Bhaumik Patel; Santosh Bonala; Hossein Mansouri; Sasikanth Manne; Surya Kumari Vadrevu; Shanawaz Ghouse; Che-Pei Kung; Maureen E Murphy; Aristotelis Astrinidis; Elizabeth P Henske; David J Kwiatkowski; Maciej M Markiewski; Magdalena Karbowniczek
Journal:  Mol Cancer Res       Date:  2019-05-14       Impact factor: 5.852

7.  Chromosomal imbalances revealed in primary renal cell carcinomas by comparative genomic hybridization.

Authors:  Xue-Ling Kang; Hong Zou; Li Juan Pang; Wen Hao Hu; Jin Zhao; Yan Qi; Chun-Xia Liu; Jian Ming Hu; Jing-Xia Tang; Hong An Li; Wei Hua Liang; Xiang-Lin Yuan; Feng Li
Journal:  Int J Clin Exp Pathol       Date:  2015-04-01

Review 8.  Resistance and gain-of-resistance phenotypes in cancers harboring wild-type p53.

Authors:  Michelle Martinez-Rivera; Zahid H Siddik
Journal:  Biochem Pharmacol       Date:  2011-12-26       Impact factor: 5.858

9.  Distinctive effects of the cellular inhibitor of apoptosis protein c-IAP2 through stabilization by XIAP in glioblastoma multiforme cells.

Authors:  Wensheng Yang; Mariana Cooke; Colin S Duckett; Xiaolu Yang; Jay F Dorsey
Journal:  Cell Cycle       Date:  2014-01-22       Impact factor: 4.534

Review 10.  Choosing The Right Animal Model for Renal Cancer Research.

Authors:  Paweł Sobczuk; Anna Brodziak; Mohammed Imran Khan; Stuti Chhabra; Michał Fiedorowicz; Marlena Wełniak-Kamińska; Kamil Synoradzki; Ewa Bartnik; Agnieszka Cudnoch-Jędrzejewska; Anna M Czarnecka
Journal:  Transl Oncol       Date:  2020-02-22       Impact factor: 4.243

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