Literature DB >> 28385796

Harnessing Preclinical Molecular Imaging to Inform Advances in Personalized Cancer Medicine.

Peter M Clark1,2, Victoria A Ebiana3, Laura Gosa1,4, Timothy F Cloughesy3, David A Nathanson5,4.   

Abstract

Comprehensive molecular analysis of individual tumors provides great potential for personalized cancer therapy. However, the presence of a particular genetic alteration is often insufficient to predict therapeutic efficacy. Drugs with distinct mechanisms of action can affect the biology of tumors in specific and unique ways. Therefore, assays that can measure drug-induced perturbations of defined functional tumor properties can be highly complementary to genomic analysis. PET provides the capacity to noninvasively measure the dynamics of various tumor biologic processes in vivo. Here, we review the underlying biochemical and biologic basis for a variety of PET tracers and how they may be used to better optimize cancer therapy.
© 2017 by the Society of Nuclear Medicine and Molecular Imaging.

Entities:  

Keywords:  PET imaging tracers; early response biomarkers; personalized cancer therapy; pharmacodynamic imaging; precision medicine

Mesh:

Substances:

Year:  2017        PMID: 28385796     DOI: 10.2967/jnumed.116.181693

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


  8 in total

1.  18F-FAC PET Selectively Images Liver-Infiltrating CD4 and CD8 T Cells in a Mouse Model of Autoimmune Hepatitis.

Authors:  Jessica R Salas; Bao Ying Chen; Alicia Wong; Donghui Cheng; John S Van Arnam; Owen N Witte; Peter M Clark
Journal:  J Nucl Med       Date:  2018-04-26       Impact factor: 10.057

2.  Correcting for targeted and control agent signal differences in paired-agent molecular imaging of cancer cell-surface receptors.

Authors:  Negar Sadeghipour; Scott C Davis; Kenneth M Tichauer
Journal:  J Biomed Opt       Date:  2018-06       Impact factor: 3.170

3.  Ultra-compact, automated microdroplet radiosynthesizer.

Authors:  Jia Wang; Philip H Chao; R Michael van Dam
Journal:  Lab Chip       Date:  2019-06-12       Impact factor: 6.799

4.  Noninvasive Imaging of Drug-Induced Liver Injury with 18F-DFA PET.

Authors:  Jessica R Salas; Bao Ying Chen; Alicia Wong; Sergio Duarte; Stephanie A K Angarita; Gerald S Lipshutz; Owen N Witte; Peter M Clark
Journal:  J Nucl Med       Date:  2018-03-01       Impact factor: 11.082

5.  Cytoplasmic p53 couples oncogene-driven glucose metabolism to apoptosis and is a therapeutic target in glioblastoma.

Authors:  Wilson X Mai; Laura Gosa; Veerle W Daniels; Lisa Ta; Jonathan E Tsang; Brian Higgins; W Blake Gilmore; Nicholas A Bayley; Mitra Dehghan Harati; Jason T Lee; William H Yong; Harley I Kornblum; Steven J Bensinger; Paul S Mischel; P Nagesh Rao; Peter M Clark; Timothy F Cloughesy; Anthony Letai; David A Nathanson
Journal:  Nat Med       Date:  2017-10-09       Impact factor: 53.440

6.  Preclinical Molecular PET-CT Imaging Targeting CDCP1 in Colorectal Cancer.

Authors:  Tahleesa J Cuda; Yaowu He; Thomas Kryza; Tashbib Khan; Brian W Tse; Kamil A Sokolowski; Cheng Liu; Nicholas Lyons; Madeline Gough; Cameron E Snell; David K Wyld; Stephen Rose; Andrew D Riddell; Andrew R L Stevenson; Paul A Thomas; David A Clark; Simon Puttick; John D Hooper
Journal:  Contrast Media Mol Imaging       Date:  2021-09-13       Impact factor: 3.161

7.  miRNA-199a-5p/SLC2A1 axis regulates glucose metabolism in non-small cell lung cancer.

Authors:  Yikun Xu; Binshu Chai; Xianyi Wang; Zong Wu; Zhitao Gu; Xiaomin Liu; Yiqi Zhao; Tangbing Chen; Zhongliang Ma; Qiangling Sun
Journal:  J Cancer       Date:  2022-04-18       Impact factor: 4.478

Review 8.  Precision Medicine in Pediatric Neurooncology: A Review.

Authors:  Aaron Y Mochizuki; Isaura M Frost; Melina B Mastrodimos; Ashley S Plant; Anthony C Wang; Theodore B Moore; Robert M Prins; Paul S Weiss; Steven J Jonas
Journal:  ACS Chem Neurosci       Date:  2017-12-27       Impact factor: 4.418

  8 in total

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