Cancer Research Infection and Cancer: Biology, Therapeutics, and Prevention  AACR Conference on Molecular Diagnostics - 2008
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[Cancer Research 62, 5218-5222, September 15, 2002]
© 2002 American Association for Cancer Research


Clinical Investigations

The Possible Role of Postoperative Azotemia in Enhanced Survival of Patients with Metastatic Renal Cancer after Cytoreductive Nephrectomy

Robert A. Gatenby1, Edward T. Gawlinski, Catherine M. Tangen, Robert C. Flanigan and E. David Crawford

Departments of Radiology and Applied Mathematics, University of Arizona, Tucson, Arizona 85721 [R. A. G.]; Department of Physics, Temple University, Philadelphia, Pennsylvania [E. T. G.]; Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, Washington [C. T.]; Department of Urology, Loyola University Stritch School of Medicine, Maywood, Illinois [R. C. F.]; and University of Colorado Cancer Center, Urology Division, Denver, Colorado [E. D. C.]

Cytoreductive nephrectomy prior to systemic therapy significantly increases survival in patients with metastatic renal cancer. This result is generally ascribed to the benefits of resection of the primary tumor including reduction of tumor burden, removal of a source for growth factors and metastases, and enhanced immune response. On the basis of mathematical models of tumor invasion, we propose that the observed effects of cytoreductive nephrectomy may be caused by resection of the kidney rather than the cancer. The models predict that the graded metabolic acidosis associated with mild renal failure after unilateral nephrectomy may alter the dynamics of the tumor-host interface sufficiently to reduce and even reverse the rate of invasion. A review of patient data from the surgical arm of the Southwest Oncology Group (SWOG) 89492 trial demonstrates significantly improved survival in patients who experienced postoperative increase in blood urea nitrogen (BUN) and creatinine compared with those who did not (17-month survival versus 4-month survival; P = 0.0007). This is generally consistent with the predictions of the mathematical models. If confirmed, these results suggest novel and broadly applicable tumor therapies.




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Copyright © 2002 by the American Association for Cancer Research.