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Published in: BMC Cancer 1/2014

Open Access 01-12-2014 | Research article

DW-MRI in assessment of the hypoxic fraction, interstitial fluid pressure, and metastatic propensity of melanoma xenografts

Authors: Tord Hompland, Christine Ellingsen, Kanthi Galappathi, Einar K Rofstad

Published in: BMC Cancer | Issue 1/2014

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Abstract

Background

Cancer patients with primary tumors showing extensive hypoxia and highly elevated interstitial fluid pressure (IFP) have poor prognosis. The potential of diffusion-weighted magnetic resonance imaging (DW-MRI) in assessing the hypoxic fraction, IFP, and metastatic propensity of tumors was investigated in this study.

Methods

A-07 and R-18 melanoma xenografts were used as general models of human cancer. DW-MRI was performed at 1.5 T, and maps of the apparent diffusion coefficient (ADC) were produced with in-house-made software developed in Matlab. Pimonidazole was used as a hypoxia marker. Tumor cell density and hypoxic fraction were assessed by quantitative analysis of histological sections. IFP was measured with a Millar catheter. Metastatic propensity was determined by examining tumor-bearing mice for pulmonary micrometastases post mortem.

Results

ADC decreased with increasing tumor cell density, independent of whether the A-07 and R-18 data were analyzed separately or together. In the A-07 line, ADC decreased with increasing hypoxic fraction and increasing IFP and was lower in metastatic than in nonmetastatic tumors, and in the R-18 line, ADC decreased with increasing hypoxic fraction. There was a strong inverse correlation between ADC and hypoxic fraction as well as between ADC and IFP across the two tumor lines, primarily because low ADC as well as high hypoxic fraction and high IFP were associated with high cell density.

Conclusion

Low ADC is a potentially useful biomarker of poor prognosis in cancer, since low ADC is mainly a consequence of high cell density, and high cell density may lead to increased hypoxia and interstitial hypertension and, therefore, increased microenvironment-associated metastasis.
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Literature
1.
go back to reference Padhani AR: Diffusion magnetic resonance imaging in cancer patient management. Semin Radiat Oncol. 2011, 21: 119-140. 10.1016/j.semradonc.2010.10.004.CrossRefPubMed Padhani AR: Diffusion magnetic resonance imaging in cancer patient management. Semin Radiat Oncol. 2011, 21: 119-140. 10.1016/j.semradonc.2010.10.004.CrossRefPubMed
2.
go back to reference Yankeelov TE, Arlinghaus LR, Li X, Gore JC: The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer. Semin Oncol. 2011, 38: 16-25. 10.1053/j.seminoncol.2010.11.007.CrossRefPubMedPubMedCentral Yankeelov TE, Arlinghaus LR, Li X, Gore JC: The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer. Semin Oncol. 2011, 38: 16-25. 10.1053/j.seminoncol.2010.11.007.CrossRefPubMedPubMedCentral
3.
go back to reference Bonekamp S, Corona-Villalobos CP, Kamel IR: Oncologic applications of diffusion-weighted MRI in the body. J Magn Reson Imaging. 2012, 35: 257-279. 10.1002/jmri.22786.CrossRefPubMed Bonekamp S, Corona-Villalobos CP, Kamel IR: Oncologic applications of diffusion-weighted MRI in the body. J Magn Reson Imaging. 2012, 35: 257-279. 10.1002/jmri.22786.CrossRefPubMed
4.
go back to reference Li SP, Padhani AR: Tumor response assessments with diffusion and perfusion MRI. J Magn Reson Imaging. 2012, 35: 745-763. 10.1002/jmri.22838.CrossRefPubMed Li SP, Padhani AR: Tumor response assessments with diffusion and perfusion MRI. J Magn Reson Imaging. 2012, 35: 745-763. 10.1002/jmri.22838.CrossRefPubMed
5.
go back to reference Liu Y, Bai R, Sun H, Liu H, Zhao X, Li Y: Diffusion-weighted imaging in predicting and monitoring the response of uterine cervical cancer to combined chemoradiation. Clin Radiol. 2009, 64: 1067-1074. 10.1016/j.crad.2009.07.010.CrossRefPubMed Liu Y, Bai R, Sun H, Liu H, Zhao X, Li Y: Diffusion-weighted imaging in predicting and monitoring the response of uterine cervical cancer to combined chemoradiation. Clin Radiol. 2009, 64: 1067-1074. 10.1016/j.crad.2009.07.010.CrossRefPubMed
6.
go back to reference Razek AA, Gaballa G, Denewer A, Nada N: Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR Biomed. 2010, 23: 619-623. 10.1002/nbm.1503.CrossRefPubMed Razek AA, Gaballa G, Denewer A, Nada N: Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors. NMR Biomed. 2010, 23: 619-623. 10.1002/nbm.1503.CrossRefPubMed
7.
go back to reference Turkbey B, Shah VP, Pang Y, Bernardo M, Xu S, Kruecker J, Locklin J, Baccala AA, Rastinehad AR, Merino MJ, Shih JH, Wood BJ, Pinto PA, Choyke PL: Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images?. Radiology. 2011, 258: 488-495. 10.1148/radiol.10100667.CrossRefPubMedPubMedCentral Turkbey B, Shah VP, Pang Y, Bernardo M, Xu S, Kruecker J, Locklin J, Baccala AA, Rastinehad AR, Merino MJ, Shih JH, Wood BJ, Pinto PA, Choyke PL: Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images?. Radiology. 2011, 258: 488-495. 10.1148/radiol.10100667.CrossRefPubMedPubMedCentral
8.
go back to reference Roth Y, Tichler T, Kostenig G, Ruiz-Cabello J, Maier SE, Cohen JS, Orenstein A, Mardor Y: High-b-value diffusion-weighted MR imaging for pretreatment prediction and early monitoring of tumor response to therapy in mice. Radiology. 2004, 232: 685-692. 10.1148/radiol.2322030778.CrossRefPubMed Roth Y, Tichler T, Kostenig G, Ruiz-Cabello J, Maier SE, Cohen JS, Orenstein A, Mardor Y: High-b-value diffusion-weighted MR imaging for pretreatment prediction and early monitoring of tumor response to therapy in mice. Radiology. 2004, 232: 685-692. 10.1148/radiol.2322030778.CrossRefPubMed
9.
go back to reference Sun YS, Zhang XP, Tang L, Ji JF, Gu J, Cai Y, Zhang XY: Locally advanced rectal carcinoma treated with preoperative chemotherapy and radiation therapy: preliminary analysis of diffusion-weighted MR imaging for early detection of tumor histopathologic downstaging. Radiology. 2010, 254: 170-178. 10.1148/radiol.2541082230.CrossRefPubMed Sun YS, Zhang XP, Tang L, Ji JF, Gu J, Cai Y, Zhang XY: Locally advanced rectal carcinoma treated with preoperative chemotherapy and radiation therapy: preliminary analysis of diffusion-weighted MR imaging for early detection of tumor histopathologic downstaging. Radiology. 2010, 254: 170-178. 10.1148/radiol.2541082230.CrossRefPubMed
10.
go back to reference Nordsmark M, Bentzen SM, Rudat V, Brizel D, Lartigau E, Stadler P, Becker A, Adam M, Molls M, Dunst J, Terris DJ, Overgaard J: Prognostic value of tumor oxygenation in 397 head and neck tumors after primary radiation therapy. An international multi-center study. Radiother Oncol. 2005, 77: 18-24. 10.1016/j.radonc.2005.06.038.CrossRefPubMed Nordsmark M, Bentzen SM, Rudat V, Brizel D, Lartigau E, Stadler P, Becker A, Adam M, Molls M, Dunst J, Terris DJ, Overgaard J: Prognostic value of tumor oxygenation in 397 head and neck tumors after primary radiation therapy. An international multi-center study. Radiother Oncol. 2005, 77: 18-24. 10.1016/j.radonc.2005.06.038.CrossRefPubMed
11.
go back to reference Fyles A, Milosevic M, Pintilie M, Syed A, Levin W, Manchul L, Hill RP: Long-term performance of interstitial fluid pressure and hypoxia as prognostic factors in cervix cancer. Radiother Oncol. 2006, 80: 132-137. 10.1016/j.radonc.2006.07.014.CrossRefPubMed Fyles A, Milosevic M, Pintilie M, Syed A, Levin W, Manchul L, Hill RP: Long-term performance of interstitial fluid pressure and hypoxia as prognostic factors in cervix cancer. Radiother Oncol. 2006, 80: 132-137. 10.1016/j.radonc.2006.07.014.CrossRefPubMed
12.
go back to reference Vaupel P, Mayer A: Hypoxia in cancer: significance and impact on clinical outcome. Cancer Metastasis Rev. 2007, 26: 225-239. 10.1007/s10555-007-9055-1.CrossRefPubMed Vaupel P, Mayer A: Hypoxia in cancer: significance and impact on clinical outcome. Cancer Metastasis Rev. 2007, 26: 225-239. 10.1007/s10555-007-9055-1.CrossRefPubMed
13.
go back to reference Rofstad EK: Orthotopic human melanoma xenograft model systems for studies of tumour angiogenesis, pathophysiology, treatment sensitivity and metastatic pattern. Br J Cancer. 1994, 70: 804-812. 10.1038/bjc.1994.403.CrossRefPubMedPubMedCentral Rofstad EK: Orthotopic human melanoma xenograft model systems for studies of tumour angiogenesis, pathophysiology, treatment sensitivity and metastatic pattern. Br J Cancer. 1994, 70: 804-812. 10.1038/bjc.1994.403.CrossRefPubMedPubMedCentral
14.
go back to reference Padhani AR, Liu G, Koh DM, Chenevert TL, Thoeny HC, Takahara T, Dzik-Jurasz A, Ross BD, Van Cauteren M, Collins D, Hammoud DA, Rustin GJ, Taouli B, Choyke PL: Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia. 2009, 2: 102-125.CrossRef Padhani AR, Liu G, Koh DM, Chenevert TL, Thoeny HC, Takahara T, Dzik-Jurasz A, Ross BD, Van Cauteren M, Collins D, Hammoud DA, Rustin GJ, Taouli B, Choyke PL: Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia. 2009, 2: 102-125.CrossRef
15.
go back to reference Brammer I, Jung H: Morphometry of irradiated tumors. Rodent Tumor Models in Experimental Cancer Therapy. Edited by: Kallman RF. 1987, Oxford: Pergamon Press, 97-100. Brammer I, Jung H: Morphometry of irradiated tumors. Rodent Tumor Models in Experimental Cancer Therapy. Edited by: Kallman RF. 1987, Oxford: Pergamon Press, 97-100.
16.
go back to reference Egeland TAM, Simonsen TG, Gaustad JV, Gulliksrud K, Ellingsen C, Rofstad EK: Dynamic contrast-enhanced magnetic resonance imaging of tumors: preclinical validation of parametric images. Radiat Res. 2009, 172: 339-347. 10.1667/RR1787.1.CrossRefPubMed Egeland TAM, Simonsen TG, Gaustad JV, Gulliksrud K, Ellingsen C, Rofstad EK: Dynamic contrast-enhanced magnetic resonance imaging of tumors: preclinical validation of parametric images. Radiat Res. 2009, 172: 339-347. 10.1667/RR1787.1.CrossRefPubMed
17.
go back to reference Rofstad EK, Måseide K: Radiobiological and immunohistochemical assessment of hypoxia in human melanoma xenografts: acute and chronic hypoxia in individual tumors. Int J Radiat Biol. 1999, 75: 1377-1393. 10.1080/095530099139250.CrossRefPubMed Rofstad EK, Måseide K: Radiobiological and immunohistochemical assessment of hypoxia in human melanoma xenografts: acute and chronic hypoxia in individual tumors. Int J Radiat Biol. 1999, 75: 1377-1393. 10.1080/095530099139250.CrossRefPubMed
18.
go back to reference Ozerdem U, Hargens AR: A simple method for measuring interstitial fluid pressure in cancer tissues. Microvasc Res. 2005, 70: 116-120. 10.1016/j.mvr.2005.07.003.CrossRefPubMedPubMedCentral Ozerdem U, Hargens AR: A simple method for measuring interstitial fluid pressure in cancer tissues. Microvasc Res. 2005, 70: 116-120. 10.1016/j.mvr.2005.07.003.CrossRefPubMedPubMedCentral
19.
go back to reference Padhani AR, Koh DM, Collins DJ: Whole-body diffusion-weighted MR imaging in cancer: current status and research directions. Radiology. 2011, 261: 700-718. 10.1148/radiol.11110474.CrossRefPubMed Padhani AR, Koh DM, Collins DJ: Whole-body diffusion-weighted MR imaging in cancer: current status and research directions. Radiology. 2011, 261: 700-718. 10.1148/radiol.11110474.CrossRefPubMed
20.
go back to reference Gulledge CJ, Dewhirst MW: Tumor oxygenation: a matter of supply and demand. Anticancer Res. 1996, 16: 741-750.PubMed Gulledge CJ, Dewhirst MW: Tumor oxygenation: a matter of supply and demand. Anticancer Res. 1996, 16: 741-750.PubMed
21.
go back to reference Heldin CH, Rubin K, Pietras K, Östman A: High interstitial fluid pressure―an obstacle in cancer therapy. Nat Rev Cancer. 2004, 4: 806-813. 10.1038/nrc1456.CrossRefPubMed Heldin CH, Rubin K, Pietras K, Östman A: High interstitial fluid pressure―an obstacle in cancer therapy. Nat Rev Cancer. 2004, 4: 806-813. 10.1038/nrc1456.CrossRefPubMed
22.
go back to reference Lunt SJ, Fyles A, Hill RP, Milosevic M: Interstitial fluid pressure in tumors: therapeutic barrier and biomarker of angiogenesis. Future Oncol. 2008, 4: 793-802. 10.2217/14796694.4.6.793.CrossRefPubMed Lunt SJ, Fyles A, Hill RP, Milosevic M: Interstitial fluid pressure in tumors: therapeutic barrier and biomarker of angiogenesis. Future Oncol. 2008, 4: 793-802. 10.2217/14796694.4.6.793.CrossRefPubMed
23.
go back to reference Milosevic M, Fyles A, Hill RP: The relationship between elevated interstitial fluid pressure and blood flow in tumors: a bioengineering analysis. Int J Radiat Oncol Biol Phys. 1999, 43: 1111-1123. 10.1016/S0360-3016(98)00512-4.CrossRefPubMed Milosevic M, Fyles A, Hill RP: The relationship between elevated interstitial fluid pressure and blood flow in tumors: a bioengineering analysis. Int J Radiat Oncol Biol Phys. 1999, 43: 1111-1123. 10.1016/S0360-3016(98)00512-4.CrossRefPubMed
24.
go back to reference Padera TP, Stoll BR, Tooredman JB, Capen D, di Tomaso E, Jain RK: Pathology: cancer cells compress intratumour vessels. Nature. 2004, 427: 695-10.1038/427695a.CrossRefPubMed Padera TP, Stoll BR, Tooredman JB, Capen D, di Tomaso E, Jain RK: Pathology: cancer cells compress intratumour vessels. Nature. 2004, 427: 695-10.1038/427695a.CrossRefPubMed
25.
go back to reference Cairns RA, Kalliomäki T, Hill RP: Acute (cyclic) hypoxia enhances spontaneous metastasis of KHT murine tumors. Cancer Res. 2001, 61: 8903-8908.PubMed Cairns RA, Kalliomäki T, Hill RP: Acute (cyclic) hypoxia enhances spontaneous metastasis of KHT murine tumors. Cancer Res. 2001, 61: 8903-8908.PubMed
26.
go back to reference Rofstad EK, Galappathi K, Mathiesen B, Ruud EBM: Fluctuating and diffusion-limited hypoxia in hypoxia-induced metastasis. Clin Cancer Res. 2007, 13: 1971-1978. 10.1158/1078-0432.CCR-06-1967.CrossRefPubMed Rofstad EK, Galappathi K, Mathiesen B, Ruud EBM: Fluctuating and diffusion-limited hypoxia in hypoxia-induced metastasis. Clin Cancer Res. 2007, 13: 1971-1978. 10.1158/1078-0432.CCR-06-1967.CrossRefPubMed
27.
go back to reference Hompland T, Ellingsen C, Øvrebø KM, Rofstad EK: Interstitial fluid pressure and associated lymph node metastasis revealed in tumors by dynamic contrast-enhanced MRI. Cancer Res. 2012, 72: 4899-4908. 10.1158/0008-5472.CAN-12-0903.CrossRefPubMed Hompland T, Ellingsen C, Øvrebø KM, Rofstad EK: Interstitial fluid pressure and associated lymph node metastasis revealed in tumors by dynamic contrast-enhanced MRI. Cancer Res. 2012, 72: 4899-4908. 10.1158/0008-5472.CAN-12-0903.CrossRefPubMed
28.
go back to reference Rofstad EK, Tunheim SH, Mathiesen B, Graff BA, Halsør EF, Nilsen K, Galappathi K: Pulmonary and lymph node metastasis is associated with primary tumor interstitial fluid pressure in human melanoma xenografts. Cancer Res. 2002, 62: 661-664.PubMed Rofstad EK, Tunheim SH, Mathiesen B, Graff BA, Halsør EF, Nilsen K, Galappathi K: Pulmonary and lymph node metastasis is associated with primary tumor interstitial fluid pressure in human melanoma xenografts. Cancer Res. 2002, 62: 661-664.PubMed
29.
go back to reference Rofstad EK, Gaustad JV, Egeland TAM, Mathiesen B, Galappahi K: Tumors exposed to acute cyclic hypoxic stress show enhanced angiogenesis, perfusion and metastatic dissemination. Int J Cancer. 2010, 127: 1535-1546. 10.1002/ijc.25176.CrossRefPubMed Rofstad EK, Gaustad JV, Egeland TAM, Mathiesen B, Galappahi K: Tumors exposed to acute cyclic hypoxic stress show enhanced angiogenesis, perfusion and metastatic dissemination. Int J Cancer. 2010, 127: 1535-1546. 10.1002/ijc.25176.CrossRefPubMed
30.
go back to reference Razek AA, Fathy A, Gawad TA: Correlation of apparent diffusion coefficient value with prognostic parameters of lung cancer. J Comput Assist Tomogr. 2011, 35: 248-252. 10.1097/RCT.0b013e31820ccf73.CrossRefPubMed Razek AA, Fathy A, Gawad TA: Correlation of apparent diffusion coefficient value with prognostic parameters of lung cancer. J Comput Assist Tomogr. 2011, 35: 248-252. 10.1097/RCT.0b013e31820ccf73.CrossRefPubMed
31.
go back to reference Dietzel M, Baltzer PA, Vag T, Gröschel T, Gajda M, Camara O, Kaiser WA: Application of breast MRI for prediction of lymph node metastases – systematic approach using 17 individual descriptors and a dedicated decision tree. Acta Radiol. 2010, 51: 885-894. 10.3109/02841851.2010.504232.CrossRefPubMed Dietzel M, Baltzer PA, Vag T, Gröschel T, Gajda M, Camara O, Kaiser WA: Application of breast MRI for prediction of lymph node metastases – systematic approach using 17 individual descriptors and a dedicated decision tree. Acta Radiol. 2010, 51: 885-894. 10.3109/02841851.2010.504232.CrossRefPubMed
32.
go back to reference de Souza NM, Riches SF, Vanas NJ, Morgan VA, Ashley SA, Fisher C, Payne GS, Parker C: Diffusion-weighted magnetic resonance imaging: a potential non-invasive marker of tumour aggressiveness in localized prostate cancer. Clin Radiol. 2008, 63: 774-782. 10.1016/j.crad.2008.02.001.CrossRef de Souza NM, Riches SF, Vanas NJ, Morgan VA, Ashley SA, Fisher C, Payne GS, Parker C: Diffusion-weighted magnetic resonance imaging: a potential non-invasive marker of tumour aggressiveness in localized prostate cancer. Clin Radiol. 2008, 63: 774-782. 10.1016/j.crad.2008.02.001.CrossRef
33.
go back to reference Rosenkrantz AB, Mussi TC, Spieler B, Melamed J, Taneja SS, Huang WC: High-grade bladder cancer: associations of the apparent diffusion coefficient with metastatic disease: preliminary results. J Magn Reson Imaging. 2012, 35: 1478-1483. 10.1002/jmri.23590.CrossRefPubMed Rosenkrantz AB, Mussi TC, Spieler B, Melamed J, Taneja SS, Huang WC: High-grade bladder cancer: associations of the apparent diffusion coefficient with metastatic disease: preliminary results. J Magn Reson Imaging. 2012, 35: 1478-1483. 10.1002/jmri.23590.CrossRefPubMed
34.
go back to reference Egeland TAM, Gaustad JV, Galappathi K, Rofstad EK: Magnetic resonance imaging of tumor necrosis. Acta Oncol. 2011, 50: 427-434. 10.3109/0284186X.2010.526633.CrossRefPubMed Egeland TAM, Gaustad JV, Galappathi K, Rofstad EK: Magnetic resonance imaging of tumor necrosis. Acta Oncol. 2011, 50: 427-434. 10.3109/0284186X.2010.526633.CrossRefPubMed
35.
go back to reference Øvrebø KM, Gulliksrud K, Mathiesen B, Rofstad EK: Assessment of tumor radioresponsiveness and metastatic potential by dynamic contrast-enhanced magnetic resonance imaging. Int J Radiat Oncol Biol Phys. 2011, 81: 255-261. 10.1016/j.ijrobp.2011.04.008.CrossRefPubMed Øvrebø KM, Gulliksrud K, Mathiesen B, Rofstad EK: Assessment of tumor radioresponsiveness and metastatic potential by dynamic contrast-enhanced magnetic resonance imaging. Int J Radiat Oncol Biol Phys. 2011, 81: 255-261. 10.1016/j.ijrobp.2011.04.008.CrossRefPubMed
36.
go back to reference Rofstad EK, Rasmussen H, Galappathi K, Mathiesen B, Nilsen K, Graff BA: Hypoxia promotes lymph node metastasis in human melanoma xenografts by up-regulating the urokinase-type plasminogen activator receptor. Cancer Res. 2002, 62: 1847-1853.PubMed Rofstad EK, Rasmussen H, Galappathi K, Mathiesen B, Nilsen K, Graff BA: Hypoxia promotes lymph node metastasis in human melanoma xenografts by up-regulating the urokinase-type plasminogen activator receptor. Cancer Res. 2002, 62: 1847-1853.PubMed
Metadata
Title
DW-MRI in assessment of the hypoxic fraction, interstitial fluid pressure, and metastatic propensity of melanoma xenografts
Authors
Tord Hompland
Christine Ellingsen
Kanthi Galappathi
Einar K Rofstad
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2014
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/1471-2407-14-92

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