Literature DB >> 20103667

Associations between radiocurability and interstitial fluid pressure in human tumor xenografts without hypoxic tissue.

Einar K Rofstad1, Else-Beate M Ruud, Berit Mathiesen, Kanthi Galappathi.   

Abstract

PURPOSE: The interstitial fluid pressure (IFP) of the primary tumor is an independent prognostic parameter for cervical cancer patients treated with radiation therapy. The aim of this preclinical study was to investigate whether tumor radiocurability may be associated with IFP through hypoxia-independent mechanisms. EXPERIMENTAL
DESIGN: Small A-07 and R-18 melanoma xenografts without hypoxic tissue were used as preclinical tumor models. IFP was measured by using the wick-in-needle method. Radiation dose resulting in 50% local tumor control (TCD(50)), cell density, cell tumorigenicity, plating efficiency in vitro, mitotic index, fraction of Ki67-positive cells, vascular endothelial growth factor-A (VEGF-A) concentration, and radiation-induced endothelial cell apoptosis were assessed in tumors with low and high IFP.
RESULTS: TCD(50) was found to be higher for tumors with high IFP than for tumors with low IFP by factors of 1.13 +/- 0.03 (A-07; P < 0.0001) and 1.10 +/- 0.03 (R-18; P < 0.0001). In the A-07 line, tumors with high IFP showed a larger number of clonogenic cells and a higher rate of cell proliferation than tumors with low IFP. In the R-18 line, tumors with high IFP showed a higher concentration of VEGF-A and a lower endothelial cell apoptotic index after irradiation than tumors with low IFP.
CONCLUSIONS: The radiation resistance of normoxic tumor tissue with highly elevated IFP may be an indirect consequence of increased tumor cell clonogenicity as well as increased VEGF-A expression, possibly caused by hypertension-induced modifications of signaling pathways regulating cell proliferation, cell survival, and/or angiogenesis.

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Year:  2010        PMID: 20103667     DOI: 10.1158/1078-0432.CCR-09-2718

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  20 in total

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Authors:  Trude G Simonsen; Jon-Vidar Gaustad; Marit N Leinaas; Einar K Rofstad
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10.  Identification of Metastasis-Associated Metabolic Profiles of Tumors by (1)H-HR-MAS-MRS.

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