Literature DB >> 25428139

Nomograms incorporating serum C-reactive protein effectively predict mortality before and after surgical treatment of renal cell carcinoma.

Wayland Hsiao1, Lindsey A Herrel, Changhong Yu, Michael W Kattan, Daniel J Canter, Bradley C Carthon, Kenneth Ogan, Viraj A Master.   

Abstract

OBJECTIVES: To incorporate C-reactive protein into nomograms estimating survival in patients with renal cell carcinoma.
METHODS: Patients undergoing surgery for renal cell carcinoma from 2005-2012 were studied retrospectively. Multivariable Cox proportional hazards regression and competing risks regression models including stage, grade, C-reactive protein levels and presence of metastatic disease were constructed. Outcomes analyzed include overall mortality overall mortality and renal cell carcinoma-specific mortality.
RESULTS: The cohort included 516 patients with a mean follow up of 1.7 years (SD 1.4 years). One- and 3-year renal cell carcinoma-specific mortality was 8.8% and 13.5%, respectively. Four nomograms were generated using overall mortality and renal cell carcinoma-specific mortality as end-points, two each for pre- and postoperative counseling. The factor with the largest effect on all nomograms was preoperative C-reactive protein. Based on the internal validation with bootstrapping, the concordance indices for renal cell carcinoma-specific mortality in the preoperative nomogram, postoperative nomogram, and the Mayo Clinic stage, size, grade and necrosis score were 0.889, 0.893, and 0.832, respectively (P = 0.005 and 0.002 comparing with stage, size, grade and necrosis scores for preoperative or postoperative nomograms). For overall mortality, the preoperative nomogram, postoperative nomogram, and stage, size, grade and necrosis score showed concordance indices of 0.866, 0.897, and 0.828, respectively (P = 0.123 and 0.008 compared with stage, size, grade and necrosis score for preoperative or postoperative nomograms).
CONCLUSIONS: We have generated nomograms incorporating serum C-reactive protein levels that effectively predict overall mortality and renal cell carcinoma specific mortality. Our findings warrant external validation.
© 2014 The Japanese Urological Association.

Entities:  

Keywords:  C-reactive protein; kidney cancer; nomogram; renal cell carcinoma

Mesh:

Substances:

Year:  2014        PMID: 25428139     DOI: 10.1111/iju.12672

Source DB:  PubMed          Journal:  Int J Urol        ISSN: 0919-8172            Impact factor:   3.369


  4 in total

1.  Nomograms to Predict the Individual Survival of Patients with Solitary Hepatocellular Carcinoma after Hepatectomy.

Authors:  Junyi Shen; Linye He; Chuan Li; Tianfu Wen; Weixia Chen; Changli Lu; Lvnan Yan; Bo Li; Jiayin Yang
Journal:  Gut Liver       Date:  2017-09-15       Impact factor: 4.519

2.  Prognostic nomograms for patients with resectable hepatocelluar carcinoma incorporating systemic inflammation and tumor characteristics.

Authors:  Junyi Shen; Linye He; Chuan Li; Tianfu Wen; Weixia Chen; Changli Lu; Lvnan Yan; Bo Li; Jiayin Yang
Journal:  Oncotarget       Date:  2016-12-06

Review 3.  C-Reactive Protein and Cancer-Diagnostic and Therapeutic Insights.

Authors:  Peter C Hart; Ibraheem M Rajab; May Alebraheem; Lawrence A Potempa
Journal:  Front Immunol       Date:  2020-11-19       Impact factor: 7.561

4.  Increased Expression of the Autocrine Motility Factor is Associated With Poor Prognosis in Patients With Clear Cell-Renal Cell Carcinoma.

Authors:  Giuseppe Lucarelli; Monica Rutigliano; Francesca Sanguedolce; Vanessa Galleggiante; Andrea Giglio; Simona Cagiano; Pantaleo Bufo; Eugenio Maiorano; Domenico Ribatti; Elena Ranieri; Margherita Gigante; Loreto Gesualdo; Matteo Ferro; Ottavio de Cobelli; Carlo Buonerba; Giuseppe Di Lorenzo; Sabino De Placido; Silvano Palazzo; Carlo Bettocchi; Pasquale Ditonno; Michele Battaglia
Journal:  Medicine (Baltimore)       Date:  2015-11       Impact factor: 1.817

  4 in total

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