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J. Martin Brown
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Journal Articles

Correction: Macrophage Exclusion after Radiation Therapy (MERT): A First-in-Human Phase I/II Trial using a CXCR4 Inhibitor in Glioblastoma

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Reena P. Thomas, Seema Nagpal, Michael Iv, Scott G. Soltys, Sophie Bertrand, Judith S. Pelpola, Robyn Ball, Jaden Yang, Vandana Sundaram, Sophia B. Chernikova, Jonathan Lavezo, Donald Born, Hannes Vogel, J. Martin Brown, Lawrence D. Recht
Journal: Clinical Cancer Research
Clin Cancer Res (2023) 29 (2): 502.
https://doi.org/10.1158/1078-0432.CCR-22-3712
Published: 17 January 2023
View articletitled, Correction: Macrophage Exclusion after Radiation Therapy (MERT): A First-in-Human Phase I/II Trial using a CXCR4 Inhibitor in Glioblastoma
Open the PDF for Correction: Macrophage Exclusion after Radiation Therapy (MERT): A First-in-Human Phase I/II Trial using a CXCR4 Inhibitor in Glioblastoma in another window
Journal Articles

Macrophage Exclusion after Radiation Therapy (MERT): A First in Human Phase I/II Trial using a CXCR4 Inhibitor in Glioblastoma

Available to Purchase
Reena P. Thomas, Seema Nagpal, Michael Iv, Scott G. Soltys, Sophie Bertrand, Judith S. Pelpola, Robyn Ball, Jaden Yang, Vandana Sundaram, Sophia B. Chernikova, Jonathan Lavezo, Donald Born, Hannes Vogel, J. Martin Brown, Lawrence D. Recht
Journal: Clinical Cancer Research
Clin Cancer Res (2019) 25 (23): 6948–6957.
https://doi.org/10.1158/1078-0432.CCR-19-1421
Published: 01 December 2019
View articletitled, Macrophage Exclusion after Radiation Therapy (MERT): A First in Human Phase I/II Trial using a CXCR4 Inhibitor in Glioblastoma
Open the PDF for Macrophage Exclusion after Radiation Therapy (MERT): A First in Human Phase I/II Trial using a CXCR4 Inhibitor in Glioblastoma in another window
Includes: Supplementary data
Journal Articles

The Promise of Targeting Macrophages in Cancer Therapy

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J. Martin Brown, Lawrence Recht, Samuel Strober
Journal: Clinical Cancer Research
Clin Cancer Res (2017) 23 (13): 3241–3250.
https://doi.org/10.1158/1078-0432.CCR-16-3122
Published: 02 July 2017
View articletitled, The Promise of Targeting Macrophages in Cancer Therapy
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Journal Articles

Improving the Predictive Value of Preclinical Studies in Support of Radiotherapy Clinical Trials

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C. Norman Coleman, Geoff S. Higgins, J. Martin Brown, Michael Baumann, David G. Kirsch, Henning Willers, Pataje G.S. Prasanna, Mark W. Dewhirst, Eric J. Bernhard, Mansoor M. Ahmed
Journal: Clinical Cancer Research
Series: Author Choice
Clin Cancer Res (2016) 22 (13): 3138–3147.
https://doi.org/10.1158/1078-0432.CCR-16-0069
Published: 30 June 2016
View articletitled, Improving the Predictive Value of Preclinical Studies in Support of Radiotherapy Clinical Trials
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Includes: Supplementary data
Journal Articles

Imaging Tumor Sensitivity to a Bioreductive Prodrug: Two for the Price of One!

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J. Martin Brown
Journal: Clinical Cancer Research
Clin Cancer Res (2012) 18 (6): 1487–1489.
https://doi.org/10.1158/1078-0432.CCR-11-3267
Published: 14 March 2012
View articletitled, Imaging Tumor Sensitivity to a Bioreductive Prodrug: Two for the Price of One!
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Includes: Supplementary data
Journal Articles

Pharmacokinetic/Pharmacodynamic Modeling Identifies SN30000 and SN29751 as Tirapazamine Analogues with Improved Tissue Penetration and Hypoxic Cell Killing in Tumors

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Kevin O. Hicks, Bronwyn G. Siim, Jagdish K. Jaiswal, Frederik B. Pruijn, Annie M. Fraser, Rita Patel, Alison Hogg, H.D. Sarath Liyanage, Mary Jo Dorie, J. Martin Brown, William A. Denny, Michael P. Hay, William R. Wilson
Journal: Clinical Cancer Research
Clin Cancer Res (2010) 16 (20): 4946–4957.
https://doi.org/10.1158/1078-0432.CCR-10-1439
Published: 15 October 2010
View articletitled, Pharmacokinetic/Pharmacodynamic Modeling Identifies SN30000 and SN29751 as Tirapazamine Analogues with Improved Tissue Penetration and Hypoxic Cell Killing in Tumors
Open the PDF for Pharmacokinetic/Pharmacodynamic Modeling Identifies SN30000 and SN29751 as Tirapazamine Analogues with Improved Tissue Penetration and Hypoxic Cell Killing in Tumors in another window
Includes: Supplementary data