Literature DB >> 18199612

Assessing tumor hypoxia in cervical cancer by PET with 60Cu-labeled diacetyl-bis(N4-methylthiosemicarbazone).

Farrokh Dehdashti1, Perry W Grigsby, Jason S Lewis, Richard Laforest, Barry A Siegel, Michael J Welch.   

Abstract

Tumor hypoxia indicates a poor prognosis. This study was undertaken to confirm our prior pilot results showing that pretreatment tumor hypoxia demonstrated by PET with (60)Cu-labeled diacetyl-bis(N(4)-methylthiosemicarbazone) ((60)Cu-ATSM) is a biomarker of poor prognosis in patients with cervical cancer. Thirty-eight women with biopsy-proved cervical cancer underwent (60)Cu-ATSM PET before the initiation of radiotherapy and chemotherapy. (60)Cu-ATSM uptake was evaluated semiquantitatively as the tumor-to-muscle activity ratio (T/M). A log-rank test was used to determine the cutoff uptake value that was strongly predictive of prognosis. All patients also underwent clinical PET with (18)F-FDG before the institution of therapy. The PET results were correlated with clinical follow-up. Tumor (60)Cu-ATSM uptake was inversely related to progression-free survival and cause-specific survival (P = 0.006 and P = 0.04, respectively, as determined by the log-rank test). We found that a T/M threshold of 3.5 best discriminated patients likely to develop a recurrence from those unlikely to develop a recurrence; the 3-y progression-free survival of patients with normoxic tumors (as defined by T/M of < or = 3.5) was 71%, and that of patients with hypoxic tumors (T/M of > 3.5) was 28% (P = 0.01). Tumor (18)F-FDG uptake did not correlate with (60)Cu-ATSM uptake, and there was no significant difference in tumor (18)F-FDG uptake between patients with hypoxic tumors and those with normoxic tumors (P = 0.9). Pretherapy (60)Cu-ATSM PET provides clinically relevant information about tumor oxygenation that is predictive of outcome in patients with cervical cancer.

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Year:  2008        PMID: 18199612     DOI: 10.2967/jnumed.107.048520

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  69 in total

Review 1.  Coordinating radiometals of copper, gallium, indium, yttrium, and zirconium for PET and SPECT imaging of disease.

Authors:  Thaddeus J Wadas; Edward H Wong; Gary R Weisman; Carolyn J Anderson
Journal:  Chem Rev       Date:  2010-05-12       Impact factor: 60.622

2.  Feasibility of 62Cu-ATSM PET for evaluation of brain ischaemia and misery perfusion in patients with cerebrovascular disease.

Authors:  Makoto Isozaki; Yasushi Kiyono; Yoshikazu Arai; Takashi Kudo; Tetsuya Mori; Rikiya Maruyama; Ken-ichiro Kikuta; Hidehiko Okazawa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-02-02       Impact factor: 9.236

3.  Sample size estimation for time-dependent receiver operating characteristic.

Authors:  H Li; C Gatsonis
Journal:  Stat Med       Date:  2013-10-03       Impact factor: 2.373

Review 4.  Biological imaging in clinical oncology: radiation therapy based on functional imaging.

Authors:  Yo-Liang Lai; Chun-Yi Wu; K S Clifford Chao
Journal:  Int J Clin Oncol       Date:  2016-07-06       Impact factor: 3.402

Review 5.  The clinical utility of imaging methods used to measure hypoxia in cervical cancer.

Authors:  Joseph Waller; Benjamin Onderdonk; Ann Flood; Harold Swartz; Jaffer Shah; Asghar Shah; Bulent Aydogan; Howard Halpern; Yasmin Hasan
Journal:  Br J Radiol       Date:  2020-04-22       Impact factor: 3.039

Review 6.  Positron emission tomography to assess hypoxia and perfusion in lung cancer.

Authors:  Eline E Verwer; Ronald Boellaard; Astrid Am van der Veldt
Journal:  World J Clin Oncol       Date:  2014-12-10

Review 7.  Assessing tumor hypoxia by positron emission tomography with Cu-ATSM.

Authors:  J P Holland; J S Lewis; F Dehdashti
Journal:  Q J Nucl Med Mol Imaging       Date:  2009-04       Impact factor: 2.346

8.  Autoradiographic and small-animal PET comparisons between (18)F-FMISO, (18)F-FDG, (18)F-FLT and the hypoxic selective (64)Cu-ATSM in a rodent model of cancer.

Authors:  Carmen S Dence; Datta E Ponde; Michael J Welch; Jason S Lewis
Journal:  Nucl Med Biol       Date:  2008-08       Impact factor: 2.408

9.  On the sensitivity of IMRT dose optimization to the mathematical form of a biological imaging-based prescription function.

Authors:  Stephen R Bowen; Ryan T Flynn; Søren M Bentzen; Robert Jeraj
Journal:  Phys Med Biol       Date:  2009-02-13       Impact factor: 3.609

Review 10.  Molecular imaging of hypoxia with radiolabelled agents.

Authors:  Gilles Mees; Rudi Dierckx; Christel Vangestel; Christophe Van de Wiele
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-06-30       Impact factor: 9.236

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