Literature DB >> 23959576

The current status of tailor-made medicine with molecular biomarkers for patients with clear cell renal cell carcinoma.

Sunao Shoji, Mayura Nakano, Haruhiro Sato, Xian Yang Tang, Yoshiyuki Robert Osamura, Toshiro Terachi, Toyoaki Uchida, Koichi Takeya.   

Abstract

Appropriate use of multiple reliable molecular biomarkers in the right context will play a role in tailormade medicine of clear cell renal cell carcinoma (RCC) patients in the future. A total of 11,056 patients from 53 studies were included in this review. The article numbers of the each evidence levels, using the grading system defined by the Oxford Centre for Evidence-based Medicine, in 1b, 2a, 2b, and 3b were 5 (9%), 18 (34%), 29 (55%), and 1 (2%), respectively. The main goal of using biomarkers is to refine predictions of tumor progression, pharmacotherapy responsiveness, and cancer-specific and/or overall survival. Currently, carbonic anhydrase (CA9) and vascular endothelial growth factor (VEGF) in peripheral blood and p53 in tumor tissues are measured to predict metastasis, while VEGF-related proteins in peripheral blood are used to assess pharmacotherapy responsiveness with sunitinib. Furthermore, interleukin 8, osteopontin, hepatocyte growth factor, and tissue inhibitors of metalloproteinases-1 in peripheral blood enable assessment of responsiveness to pazopanib treatment. Other reliable molecular biomarkers include von Hippel–Lindau gene alteration, hypoxia-inducible factor-1a, CA9, and survivin in tumor tissues and VEGF in peripheral blood for predicting cancer-specific survival. In the future, studies should undergo external validation for developing tailored management of clear cell RCC with molecular biomarkers, since individual institutional studies lack the generalization and consistency required to maintain accuracy among different patient series.

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Year:  2014        PMID: 23959576     DOI: 10.1007/s10585-013-9612-7

Source DB:  PubMed          Journal:  Clin Exp Metastasis        ISSN: 0262-0898            Impact factor:   5.150


  197 in total

1.  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

2.  Histopathologic subtype-specific genomic profiles of renal cell carcinomas identified by high-resolution whole-genome single nucleotide polymorphism array analysis.

Authors:  Akira Yokomizo; Ken Yamamoto; Kenji Furuno; Masaki Shiota; Katsunori Tatsugami; Kentaro Kuroiwa; Seiji Naito
Journal:  Oncol Lett       Date:  2010-09-23       Impact factor: 2.967

3.  Carbonic anhydrase IX and pathological features as predictors of outcome in patients with metastatic clear-cell renal cell carcinoma receiving vascular endothelial growth factor-targeted therapy.

Authors:  Toni K Choueiri; Meredith M Regan; Jonathan E Rosenberg; William K Oh; Jessica Clement; Angela M Amato; David McDermott; Daniel C Cho; Michael B Atkins; Sabina Signoretti
Journal:  BJU Int       Date:  2010-03-02       Impact factor: 5.588

4.  Rising incidence of small renal masses: a need to reassess treatment effect.

Authors:  John M Hollingsworth; David C Miller; Stephanie Daignault; Brent K Hollenbeck
Journal:  J Natl Cancer Inst       Date:  2006-09-20       Impact factor: 13.506

5.  Use of combined apoptosis biomarkers for prediction of bladder cancer recurrence and mortality after radical cystectomy.

Authors:  Jose A Karam; Yair Lotan; Pierre I Karakiewicz; Raheela Ashfaq; Arthur I Sagalowsky; Claus G Roehrborn; Shahrokh F Shariat
Journal:  Lancet Oncol       Date:  2007-02       Impact factor: 41.316

6.  Carbonic anhydrase IX expression predicts outcome of interleukin 2 therapy for renal cancer.

Authors:  Michael Atkins; Meredith Regan; David McDermott; James Mier; Eric Stanbridge; Amanda Youmans; Philip Febbo; Melissa Upton; Mirna Lechpammer; Sabina Signoretti
Journal:  Clin Cancer Res       Date:  2005-05-15       Impact factor: 12.531

7.  Wild-type p53 is a cell cycle checkpoint determinant following irradiation.

Authors:  S J Kuerbitz; B S Plunkett; W V Walsh; M B Kastan
Journal:  Proc Natl Acad Sci U S A       Date:  1992-08-15       Impact factor: 11.205

Review 8.  Mathematical models for prognostic prediction in patients with renal cell carcinoma.

Authors:  Antonio Galfano; Giacomo Novara; Massimo Iafrate; Stefano Cavalleri; Guido Martignoni; Marina Gardiman; Carolina D'Elia; Jean Jacques Patard; Walter Artibani; Vincenzo Ficarra
Journal:  Urol Int       Date:  2008-03-19       Impact factor: 2.089

9.  Low CAIX expression and absence of VHL gene mutation are associated with tumor aggressiveness and poor survival of clear cell renal cell carcinoma.

Authors:  Jean-Jacques Patard; Patricia Fergelot; Pierre I Karakiewicz; Tobias Klatte; Quoc-Dien Trinh; Nathalie Rioux-Leclercq; Jonathan W Said; Arie S Belldegrun; Allan J Pantuck
Journal:  Int J Cancer       Date:  2008-07-15       Impact factor: 7.396

10.  Inflammatory protein serum amyloid A1 marks a subset of conventional renal cell carcinomas with fatal outcome.

Authors:  Claudia Paret; Zorica Schön; Adrianna Szponar; Gyula Kovacs
Journal:  Eur Urol       Date:  2009-08-27       Impact factor: 20.096

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  8 in total

1.  Obstructive sleep apnea and Fuhrman grade in patients with clear cell renal cell carcinoma treated surgically.

Authors:  Antoni Vilaseca; Daniel P Nguyen; Emily A Vertosick; Renato B Corradi; Mireia Musquera; Meritxell Pérez; Nicola Fossati; Daniel D Sjoberg; Ramon Farré; Isaac Almendros; Josep M Montserrat; Nicole E Benfante; A Ari Hakimi; Anders J Skanderup; Paul Russo; Antonio Alcaraz; Karim A Touijer
Journal:  World J Urol       Date:  2016-04-23       Impact factor: 4.226

2.  Introduction of revised "Aims and Scope" for Clinical & Experimental Metastasis.

Authors:  Jonathan P Sleeman
Journal:  Clin Exp Metastasis       Date:  2016-12       Impact factor: 5.150

3.  Granulocyte macrophage colony-stimulating factor as a predictor of the response of metastatic renal cell carcinoma to tyrosine kinase inhibitor therapy.

Authors:  Daisuke Yamada; Hirokazu Matsushita; Takeshi Azuma; Tohru Nakagawa; Masayoshi Nagata; Yukio Yamada; Motofumi Suzuki; Tetsuya Fujimura; Hiroshi Fukuhara; Haruki Kume; Yukio Homma; Kazuhiro Kakimi
Journal:  Mol Clin Oncol       Date:  2014-07-29

4.  Cabozantinib inhibits tumor growth and metastasis of a patient-derived xenograft model of papillary renal cell carcinoma with MET mutation.

Authors:  Hongjuan Zhao; Rosalie Nolley; Andy M W Chan; Erinn B Rankin; Donna M Peehl
Journal:  Cancer Biol Ther       Date:  2016-08-11       Impact factor: 4.742

Review 5.  Cancer stem cells in basic science and in translational oncology: can we translate into clinical application?

Authors:  Axel Schulenburg; Katharina Blatt; Sabine Cerny-Reiterer; Irina Sadovnik; Harald Herrmann; Brigitte Marian; Thomas W Grunt; Christoph C Zielinski; Peter Valent
Journal:  J Hematol Oncol       Date:  2015-02-25       Impact factor: 17.388

6.  Nuclear localization of the CK2α-subunit correlates with poor prognosis in clear cell renal cell carcinoma.

Authors:  Maj Rabjerg; Barbara Guerra; Aida Oliván-Viguera; Minne Line Nedergaard Mikkelsen; Ralf Köhler; Olaf-Georg Issinger; Niels Marcussen
Journal:  Oncotarget       Date:  2017-01-03

7.  Suppression of immune regulatory cells with combined therapy of celecoxib and sunitinib in renal cell carcinoma.

Authors:  Qi Zhao; Jianming Guo; Guomin Wang; Yiwei Chu; Xiaoyi Hu
Journal:  Oncotarget       Date:  2017-01-03

8.  Knowledge of genetic testing for hereditary kidney cancer in Canada is lacking: The results of the Canadian national hereditary kidney cancer needs assessment survey.

Authors:  Philippe D Violette; Suzanne Kamel-Reid; Gail E Graham; M Neil Reaume; Michael A Jewett; Melanie Care; Joan Basiuk; Stephen E Pautler
Journal:  Can Urol Assoc J       Date:  2014-11       Impact factor: 1.862

  8 in total

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