Literature DB >> 23564046

Application of the revised Tumour Node Metastasis (TNM) staging system of clear cell renal cell carcinoma in eastern China: advantages and limitations.

Chao Qin1, Li-Jiang Sun, Li Cui, Qiang Cao, Jian Zhu, Pu Li, Gui-Ming Zhang, Xin Mao, Peng-Fei Shao, Mei-Lin Wang, Zheng-Dong Zhang, Min Gu, Wei Zhang, Chang-Jun Yin.   

Abstract

This study was designed to evaluate whether the revised 2010 Tumour Node Metastasis (TNM) staging system could lead to a more accurate prediction of the prognosis of renal cell carcinoma (RCC) patients. A total of 1216 patients who had undergone radical nephrectomy or partial nephrectomy for RCC from 2003 to 2011 were enrolled. All of the patients had pathologically confirmed clear cell RCC (ccRCC). All cases were staged by both the 2002 and 2010 TNM staging systems after pathological review, and survival data were collected. Univariate and multivariate Cox regression models were used to evaluate cancer-specific survival (CSS) and progression-free survival (PFS) after surgery. Continuous variables, such as age and tumour diameter, were calculated as mean values and standard deviations (s.d.) or as median values. Survival was calculated by the Kaplan-Meier method, and the log-rank test assessed differences between groups. Statistically significant differences in CSS and PFS were noted among patients in T3 subgroups using the new 2010 staging system. Therefore, the revised 2010 TNM staging system can lead to a more accurate prediction of the prognosis of ccRCC patients. However, when using the revised 2010 staging system, we found that more than 92% of patients (288/313) with T3 tumours were staged in the T3a subgroup, and their survival data were not significantly different from those of patients with T2b tumours. In addition, T2 subclassification failed to independently predict survival in RCC patients.

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Year:  2013        PMID: 23564046      PMCID: PMC3739222          DOI: 10.1038/aja.2012.161

Source DB:  PubMed          Journal:  Asian J Androl        ISSN: 1008-682X            Impact factor:   3.285


  12 in total

1.  Accuracy of the revised 2010 TNM classification in predicting the prognosis of patients treated for renal cell cancer in the north east of England.

Authors:  R Veeratterapillay; R Simren; A El-Sherif; M I Johnson; N Soomro; R Heer
Journal:  J Clin Pathol       Date:  2012-01-28       Impact factor: 3.411

2.  Is there a need to further subclassify pT2 renal cell cancers as implemented by the revised 7th TNM version?

Authors:  Sandra Waalkes; Frank Becker; Andres J Schrader; Martin Janssen; Gerd Wegener; Axel S Merseburger; Mark Schrader; Rainer Hofmann; Michael Stöckle; Markus A Kuczyk
Journal:  Eur Urol       Date:  2010-10-15       Impact factor: 20.096

3.  Validation of the 2009 TNM version in a large multi-institutional cohort of patients treated for renal cell carcinoma: are further improvements needed?

Authors:  Giacomo Novara; Vincenzo Ficarra; Alessandro Antonelli; Walter Artibani; Roberto Bertini; Marco Carini; Sergio Cosciani Cunico; Ciro Imbimbo; Nicola Longo; Guido Martignoni; Giuseppe Martorana; Andrea Minervini; Vincenzo Mirone; Francesco Montorsi; Riccardo Schiavina; Roberto Schiavina; Claudio Simeone; Sergio Serni; Alchiede Simonato; Salvatore Siracusano; Alessandro Volpe; Giorgio Carmignani
Journal:  Eur Urol       Date:  2010-07-23       Impact factor: 20.096

4.  Estimates of cancer incidence in China for 2000 and projections for 2005.

Authors:  Ling Yang; D Maxwell Parkin; Jacques Ferlay; Liandi Li; Yude Chen
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2005-01       Impact factor: 4.254

5.  Does stage T3a renal cell carcinoma embrace a homogeneous group of patients?

Authors:  Ofer N Gofrit; Amos Shapiro; Galina Pizov; Ezekiel H Landau; Ran Katz; Kevin C Zorn; Dov Pode
Journal:  J Urol       Date:  2007-05       Impact factor: 7.450

6.  Reclassification of patients with pT3 and pT4 renal cell carcinoma improves prognostic accuracy.

Authors:  R Houston Thompson; John C Cheville; Christine M Lohse; W Scott Webster; Horst Zincke; Eugene D Kwon; Igor Frank; Michael L Blute; Bradley C Leibovich
Journal:  Cancer       Date:  2005-07-01       Impact factor: 6.860

7.  TNM T3a renal cell carcinoma: adrenal gland involvement is not the same as renal fat invasion.

Authors:  Ken-Ryu Han; Matthew H T Bui; Allan J Pantuck; Danielo G Freitas; Bradley C Leibovich; Fredercik J Dorey; Amnon Zisman; Nicolette K Janzen; Hideki Mukouyama; Robert A Figlin; Aie S Belldegrun
Journal:  J Urol       Date:  2003-03       Impact factor: 7.450

8.  A new staging system for locally advanced (pT3-4) renal cell carcinoma: a multicenter European study including 2,000 patients.

Authors:  Vincenzo Ficarra; Antonio Galfano; Francois Guillé; Luigi Schips; Jacques Tostain; Arneaud Mejean; Herve Lang; Peter Mulders; Alexandre De La Taille; Denis Chautard; Jean Luc Descotes; Luca Cindolo; Giacomo Novara; Nathalie Rioux-Leclercq; Filiberto Zattoni; Walter Artibani; Jean Jacques Patard
Journal:  J Urol       Date:  2007-06-11       Impact factor: 7.450

9.  Cancer statistics, 2009.

Authors:  Ahmedin Jemal; Rebecca Siegel; Elizabeth Ward; Yongping Hao; Jiaquan Xu; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2009-05-27       Impact factor: 508.702

10.  Reappraisal of T3N0/NxM0 renal cell carcinoma: significance of extent of fat invasion, renal vein invasion, and adrenal invasion.

Authors:  Soo Jin Jung; Jae Y Ro; Luan D Truong; Alberto G Ayala; Steven S Shen
Journal:  Hum Pathol       Date:  2008-07-24       Impact factor: 3.466

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  4 in total

1.  SP1-induced up-regulation of lncRNA SNHG14 as a ceRNA promotes migration and invasion of clear cell renal cell carcinoma by regulating N-WASP.

Authors:  Guanghua Liu; Zixing Ye; Xin Zhao; Zhigang Ji
Journal:  Am J Cancer Res       Date:  2017-12-01       Impact factor: 6.166

2.  Methylation of STK11 promoter is a risk factor for tumor stage and survival in clear cell renal cell carcinoma.

Authors:  Fufu Zheng; Xiaoxu Yuan; Enjing Chen; Yunlin Ye; Xiaofei Li; Yuping Dai
Journal:  Oncol Lett       Date:  2017-07-07       Impact factor: 2.967

3.  Toll-Like Receptors Serve as Biomarkers for Early Diagnosis and Prognosis Assessment of Kidney Renal Clear Cell Carcinoma by Influencing the Immune Microenvironment: Comprehensive Bioinformatics Analysis Combined With Experimental Validation.

Authors:  Xiong Zou; Bingqian Guo; Qiang Ling; Zengnan Mo
Journal:  Front Mol Biosci       Date:  2022-01-21

4.  CYP2J2 Is a Diagnostic and Prognostic Biomarker Associated with Immune Infiltration in Kidney Renal Clear Cell Carcinoma.

Authors:  Xiong Zou; Zengnan Mo
Journal:  Biomed Res Int       Date:  2021-06-23       Impact factor: 3.411

  4 in total

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