Literature DB >> 35044495

Targeting visualization of malignant tumor based on the alteration of DWI signal generated by hTERT promoter-driven AQP1 overexpression.

Liang Zhang1, Mingfu Gong2, Sheng Lei1, Chun Cui1, Yun Liu1, Shilin Xiao1, Xun Kang1, Tao Sun1, Zhongsheng Xu1, Chunyu Zhou1, Si Zhang1, Dong Zhang3.   

Abstract

PURPOSE: To specifically diagnose malignant tumors in DWI using the human telomerase reverse transcriptase (hTERT) promoter-driven AQP1 expression.
METHODS: The human telomerase reverse transcriptase (hTERT) promoter-driven AQP1 gene overexpression lentivirus system (hTERT-AQP1) and cytomegalovirus (CMV) promoter-driven AQP1 gene overexpression lentivirus system (CMV-AQP1) were prepared, and transduced into telomerase-positive and -negative cells. The AQP1 expression and DWI signal intensity (SI) change in transduced cells were analyzed. Balb/C nude mice subcutaneous xenograft models derived from lentivirus-transduced telomerase-positive and -negative cells were used to evaluate AQP1 expression and DWI SI change in vivo. We further established another group of subcutaneous xenograft model using pristine telomerase-positive and -negative cells, followed by injecting the lentiviral vectors intratumorally or intravenously, to determine the malignant tumor-targeted imaging of hTERT-AQP1.
RESULTS: The hTERT-AQP1 and CMV-AQP1 were successfully prepared. After transduction, hTERT-AQP1 could induce the specific overexpression of AQP1 in telomerase-positive cells. Compared with untransduced cells, all CMV-AQP1-pretransduced cells and hTERT-AQP1-pretransduced telomerase-positive cells showed decreased SI and increased apparent diffusion coefficient (ADC) in DWI, while hTERT-AQP1-pretransduced telomerase-negative cells showed no obvious SI and ADC change. Correspondingly, hTERT-AQP1-transduced telomerase-positive tumors and CMV-AQP1-transduced telomerase-positive and -negative tumors showed decreased DWI SI and increased ADC, while hTERT-AQP1-transduced telomerase-negative tumor had no SI and ADC changes. After intratumoral or intravenous injection, CMV-AQP1 could upregulate AQP1 expression and induce DWI SI and ADC alteration in both telomerase-positive and -negative tumors, while hTERT-AQP1 worked in telomerase-positive tumors specifically.
CONCLUSION: Cancers can be specifically visualized based on the DWI signal alteration which triggered by hTERT-AQP1 lentivirus system that combined AQP1 gene and hTERT promoter.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Aquaporin 1; Diffusion-weighted MRI; Malignant tumors; Visualization; hTERT promoter

Mesh:

Substances:

Year:  2022        PMID: 35044495     DOI: 10.1007/s00259-022-05684-1

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   10.057


  33 in total

1.  Molecular MRI of the Immuno-Metabolic Interplay in a Rabbit Liver Tumor Model: A Biomarker for Resistance Mechanisms in Tumor-targeted Therapy?

Authors:  Lynn Jeanette Savic; Luzie A Doemel; Isabel Theresa Schobert; Ruth Rebecca Montgomery; Nikhil Joshi; John James Walsh; Jessica Santana; Vasily Pekurovsky; Xuchen Zhang; MingDe Lin; Lucas Adam; Annemarie Boustani; James Duncan; Lin Leng; Richard John Bucala; S Nahum Goldberg; Fahmeed Hyder; Daniel Coman; Julius Chapiro
Journal:  Radiology       Date:  2020-07-07       Impact factor: 11.105

2.  CD38-targeted Immuno-PET of Multiple Myeloma: From Xenograft Models to First-in-Human Imaging.

Authors:  Gary A Ulaner; Nicholas B Sobol; Joseph A O'Donoghue; Assen S Kirov; Christopher C Riedl; Ryan Min; Eric Smith; Lukas M Carter; Serge K Lyashchenko; Jason S Lewis; C Ola Landgren
Journal:  Radiology       Date:  2020-04-07       Impact factor: 11.105

3.  An optimized telomerase-specific lentivirus for optical imaging of tumors.

Authors:  Song-Tao Yu; Yin-Bing Yang; Guang-Ping Liang; Chuan Li; Ling Chen; Chun-Meng Shi; Xu-Dong Tang; Chang-Zhu Li; Ling Li; Guo-Zheng Wang; Yu-Yun Wu; Shi-Ming Yang; Dian-Chun Fang
Journal:  Cancer Res       Date:  2010-03-16       Impact factor: 12.701

4.  Detection and isolation of free cancer cells from ascites and peritoneal lavages using optically induced electrokinetics (OEK).

Authors:  Yuzhao Zhang; Junhua Zhao; Haibo Yu; Pan Li; Wenfeng Liang; Zhu Liu; Gwo-Bin Lee; Lianqing Liu; Wen Jung Li; Zhenning Wang
Journal:  Sci Adv       Date:  2020-08-05       Impact factor: 14.136

5.  Decreased non-specific adhesivity, receptor targeted (DART) nanoparticles exhibit improved dispersion, cellular uptake, and tumor retention in invasive gliomas.

Authors:  Aniket S Wadajkar; Jimena G Dancy; Nathan B Roberts; Nina P Connolly; Dudley K Strickland; Jeffrey A Winkles; Graeme F Woodworth; Anthony J Kim
Journal:  J Control Release       Date:  2017-09-05       Impact factor: 9.776

Review 6.  An updated overview on metal nanoparticles toxicity.

Authors:  Serenella Medici; Massimiliano Peana; Alessio Pelucelli; Maria Antonietta Zoroddu
Journal:  Semin Cancer Biol       Date:  2021-06-25       Impact factor: 15.707

7.  MR molecular imaging of tumours using ferritin heavy chain reporter gene expression mediated by the hTERT promoter.

Authors:  Yan Yang; Ming-Fu Gong; Hua Yang; Song Zhang; Guang-Xian Wang; Tong-Sheng Su; Li Wen; Dong Zhang
Journal:  Eur Radiol       Date:  2016-03-09       Impact factor: 5.315

8.  Plectin-1 Targeted Dual-modality Nanoparticles for Pancreatic Cancer Imaging.

Authors:  Xiao Chen; Hao Zhou; Xiaoshuang Li; Na Duan; Shouyou Hu; Yongkang Liu; Yali Yue; Lina Song; Yifen Zhang; Donghui Li; Zhongqiu Wang
Journal:  EBioMedicine       Date:  2018-03-15       Impact factor: 8.143

9.  Disease risk scores for skin cancers.

Authors:  Pierre Fontanillas; Babak Alipanahi; Nicholas A Furlotte; Michaela Johnson; Catherine H Wilson; Steven J Pitts; Robert Gentleman; Adam Auton
Journal:  Nat Commun       Date:  2021-01-08       Impact factor: 14.919

Review 10.  Monoclonal antibody-based molecular imaging strategies and theranostic opportunities.

Authors:  Niels Dammes; Dan Peer
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

View more
  1 in total

1.  Cancer Detection Using an Artificial Secretable MicroRNA Found in Blood and Urine.

Authors:  Pei-Wei Shueng; Kuang-Chung Shih; Sanjiv Sam Gambhir; Deng-Yu Kuo; Hui-Yen Chuang
Journal:  Biomedicines       Date:  2022-03-07
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.