Literature DB >> 20008985

Imaging spontaneous MMTVneu transgenic murine mammary tumors: targeting metabolic activity versus genetic products.

Mathew L Thakur1, Devakumar Devadhas, Kaijun Zhang, Richard G Pestell, Chenguang Wang, Peter McCue, Eric Wickstrom.   

Abstract

UNLABELLED: Despite the great strides made in imaging breast cancer (BC) in humans, the current imaging modalities miss up to 30% of BC, do not distinguish malignant lesions from benign ones, and require histologic examinations for which invasive biopsy must be performed. Annually in the United States, approximately 5.6 million biopsies find benign lesions. More than 50% of human BCs overexpress cyclin D1, and all BCs exhibit VPAC1 oncogene products. Together, these gene products may provide an excellent biomarker for the early and accurate detection of BC. We have evaluated 4 biologically active peptide analogs that have high affinity for VPAC1. The transgenic MMTVneu mice spontaneously develop BC and metastatic lesions that overexpress cyclin D1 and VPAC1 biomarkers. The MMTVneu mouse, therefore, provides an excellent animal model that mimics the pathogenesis of human BC. The objective of this investigation was to determine the ability of 1 of the peptide analogs, (64)Cu-TP3805, to detect BC in MMTVneu mice using (18)F-FDG as a gold standard.
METHODS: The transgenic MMTVneu mouse colony was maintained. Offspring were screened for transgenic status by reverse transcriptase polymerase chain reaction (RT-PCR). Nine mice with visible, palpable, or unknown metastatic lesions were entered into the protocol. (18)F-FDG (6,475 +/- 1,628 kBq [175 +/- 44 microCi]) PET served as a control, followed by a CT scan and 24-48 h later by PET with (64)Cu-TP3805 (4,588 +/- 962 kBq [124 +/- 26 microCi]). RT-PCR on excised tumors determined VPAC1 expression, and histology ascertained the pathology.
RESULTS: Ten tumors were detected by PET. Four tumors were detected both by (18)F-FDG and by (64)Cu-TP3805. Additionally, 4 tumors were imaged with (64)Cu-TP3805 only. These 8 tumors overexpressed VPAC1 receptors and were malignant by histology. The 2 remaining tumors were visualized with (18)F-FDG only. These tumors did not express the VPAC1 oncogene product and had benign histology. The standard uptake value ranged from 3.1 to 18.3 for (64)Cu-TP3805 and 0.9 to 1.4 for (18)F-FDG.
CONCLUSION: (64)Cu-TP3805 identified all malignant lesions unequivocally that overexpressed the VPAC1 oncogene surface product. The 2 benign tumors that did not express the VPAC1 receptor were not imaged. (64)Cu-TP3805 promises to have the potential for the early and accurate imaging of primary and metastatic BC.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 20008985     DOI: 10.2967/jnumed.109.069542

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


  13 in total

1.  VPAC1 receptors for imaging breast cancer: a feasibility study.

Authors:  Mathew L Thakur; Kaijun Zhang; Adam Berger; Barbara Cavanaugh; Sung Kim; Chaitra Channappa; Andrea J Frangos; Eric Wickstrom; Charles M Intenzo
Journal:  J Nucl Med       Date:  2013-05-07       Impact factor: 10.057

2.  Development of a voided urine assay for detecting prostate cancer non-invasively: a pilot study.

Authors:  Edouard J Trabulsi; Sushil K Tripathi; Leonard Gomella; Charalambos Solomides; Eric Wickstrom; Mathew L Thakur
Journal:  BJU Int       Date:  2017-02-16       Impact factor: 5.588

3.  VPAC1 Targeted (64)Cu-TP3805 Positron Emission Tomography Imaging of Prostate Cancer: Preliminary Evaluation in Man.

Authors:  Sushil Tripathi; Edouard J Trabulsi; Leonard Gomella; Sung Kim; Peter McCue; Charles Intenzo; Ruth Birbe; Ashish Gandhe; Pardeep Kumar; Mathew Thakur
Journal:  Urology       Date:  2015-10-28       Impact factor: 2.649

4.  Evaluating Ga-68 Peptide Conjugates for Targeting VPAC Receptors: Stability and Pharmacokinetics.

Authors:  Pardeep Kumar; Sushil K Tripathi; C P Chen; Eric Wickstrom; Mathew L Thakur
Journal:  Mol Imaging Biol       Date:  2019-02       Impact factor: 3.488

Review 5.  Peptide receptors as cancer drug targets.

Authors:  Terry W Moody
Journal:  Ann N Y Acad Sci       Date:  2019-05-10       Impact factor: 5.691

6.  Determining efficacy of breast cancer therapy by PET imaging of HER2 mRNA.

Authors:  Bishnuhari Paudyal; Kaijun Zhang; Chang-Po Chen; Matthew E Wampole; Neil Mehta; Edith P Mitchell; Brian D Gray; Jeffrey A Mattis; Koon Y Pak; Mathew L Thakur; Eric Wickstrom
Journal:  Nucl Med Biol       Date:  2013-09-24       Impact factor: 2.408

7.  VPAC1 Targeted 64Cu-TP3805 kit preparation and its evaluation.

Authors:  Sushil K Tripathi; Pardeep Kumar; Edouard J Trabulsi; Sung Kim; Peter A McCue; Charles Intenzo; Adam Berger; Leonard Gomella; Mathew L Thakur
Journal:  Nucl Med Biol       Date:  2017-05-03       Impact factor: 2.408

8.  Targeting of primary breast cancers and metastases in a transgenic mouse model using rationally designed multifunctional SPIONs.

Authors:  Forrest M Kievit; Zachary R Stephen; Omid Veiseh; Hamed Arami; Tingzhong Wang; Vy P Lai; James O Park; Richard G Ellenbogen; Mary L Disis; Miqin Zhang
Journal:  ACS Nano       Date:  2012-02-22       Impact factor: 15.881

Review 9.  Vasoactive intestinal peptide/pituitary adenylate cyclase activating polypeptide, and their receptors and cancer.

Authors:  Terry W Moody; Bernardo Nuche-Berenguer; Robert T Jensen
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2016-02       Impact factor: 3.243

10.  Comparative functional evaluation of immunocompetent mouse breast cancer models established from PyMT-tumors using small animal PET with [(18)F]FDG and [(18)F]FLT.

Authors:  Alan Desilva; Melinda Wuest; Monica Wang; Jeff Hummel; Karen Mossman; Frank Wuest; Mary M Hitt
Journal:  Am J Nucl Med Mol Imaging       Date:  2011-12-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.