Literature DB >> 23312462

A prognostic model for metastatic renal-cell carcinoma.

Matthew D Galsky1.   

Abstract

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Year:  2013        PMID： 23312462     DOI： 10.1016/S1470-2045(12)70581-8

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN： 1470-2045            Impact factor:   41.316


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  6 in total

Review 1.  Improving outcomes in high-risk, nonmetastatic renal cancer: new data and ongoing trials.

Authors:  Chris Blick; Alastair W S Ritchie; Timothy Eisen; Grant D Stewart
Journal:  Nat Rev Urol       Date:  2017-08-01       Impact factor: 14.432

Review 2.  Prognostic factors and prognostic models for renal cell carcinoma: a literature review.

Authors:  Tobias Klatte; Sabrina H Rossi; Grant D Stewart
Journal:  World J Urol       Date:  2018-04-30       Impact factor: 4.226

3.  The presence of tumour-infiltrating neutrophils is an independent adverse prognostic feature in clear cell renal cell carcinoma.

Authors:  Basile Tessier-Cloutier; David Dw Twa; Mahsa Marzban; Jennifer Kalina; Hye-Jung E Chun; Nils Pavey; Zaidi Tanweer; Ruth L Katz; Julian J Lum; Davide Salina
Journal:  J Pathol Clin Res       Date:  2021-03-04

4.  DNA methylation biomarkers predict progression-free and overall survival of metastatic renal cell cancer (mRCC) treated with antiangiogenic therapies.

Authors:  Inga Peters; Natalia Dubrowinskaja; Mahmoud Abbas; Christoph Seidel; Michael Kogosov; Ralph Scherer; Kai Gebauer; Axel S Merseburger; Markus A Kuczyk; Viktor Grünwald; Jürgen Serth
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

5.  Overcoming intratumoural heterogeneity for reproducible molecular risk stratification: a case study in advanced kidney cancer.

Authors:  Alexander L R Lubbock; Grant D Stewart; Fiach C O'Mahony; Alexander Laird; Peter Mullen; Marie O'Donnell; Thomas Powles; David J Harrison; Ian M Overton
Journal:  BMC Med       Date:  2017-06-26       Impact factor: 8.775

6.  Neurofilament Heavy polypeptide CpG island methylation associates with prognosis of renal cell carcinoma and prediction of antivascular endothelial growth factor therapy response.

Authors:  Natalia Dubrowinskaja; Kai Gebauer; Inga Peters; Jörg Hennenlotter; Mahmoud Abbas; Ralph Scherer; Hossein Tezval; Axel S Merseburger; Arnulf Stenzl; Viktor Grünwald; Markus A Kuczyk; Jürgen Serth
Journal:  Cancer Med       Date:  2014-01-27       Impact factor: 4.452
  6 in total

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