Literature DB >> 20465497

Imaging and 'omic' methods for the molecular diagnosis of cancer.

Sarah E Bohndiek1, Kevin M Brindle.   

Abstract

Molecular imaging methods can noninvasively detect specific biological processes that are aberrant in cancer, including upregulated glycolytic metabolism, increased cellular proliferation and altered receptor expression. PET using the glucose analogue 18F-fluoro-2-deoxyglucose, which detects the increased glucose uptake that is a characteristic of tumor cells, has been widely used in the clinic to detect tumors and their responses to treatment; however, there are many new PET tracers being developed for a wide range of biological targets. Magnetic resonance spectroscopy (MRS), which can be used to detect cellular metabolites, can also provide prognostic information, particularly in brain, breast and prostate cancers. An emerging technique, which by hyperpolarizing 13C-labeled cell substrates dramatically enhances their sensitivity to detection, could further extend the use of MRS in molecular imaging in the clinic. Molecular diagnostics applied to serum samples or tumor samples obtained by biopsy, can measure changes at the individual cell level and the underlying changes in gene or protein expression. DNA microarrays enable high-throughput gene-expression profiling, while mass spectrometry can detect thousands of proteins that may be used in the future as biomarkers of cancer. Probing molecular changes will aid not only cancer diagnosis, but also provide tumor grading, based on gene-expression analysis and imaging measurements of cell proliferation and changes in metabolism; staging, based on imaging of metastatic spread and elevation of protein biomarkers; and the detection of therapeutic response, using serial molecular imaging measurements or monitoring of serum markers. The present article provides a summary of the molecular diagnostic methods that are currently being trialed in the clinic.

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Year:  2010        PMID: 20465497     DOI: 10.1586/erm.10.20

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  8 in total

1.  Photoacoustic Tomography Detects Early Vessel Regression and Normalization During Ovarian Tumor Response to the Antiangiogenic Therapy Trebananib.

Authors:  Sarah E Bohndiek; Laura S Sasportas; Steven Machtaler; Jesse V Jokerst; Sharon Hori; Sanjiv S Gambhir
Journal:  J Nucl Med       Date:  2015-08-27       Impact factor: 10.057

2.  Tissue proteomics of the human mammary gland: towards an abridged definition of the molecular phenotypes underlying epithelial normalcy.

Authors:  José M A Moreira; Teresa Cabezón; Irina Gromova; Pavel Gromov; Vera Timmermans-Wielenga; Isidro Machado; Antonio Llombart-Bosch; Niels Kroman; Fritz Rank; Julio E Celis
Journal:  Mol Oncol       Date:  2010-10-08       Impact factor: 6.603

3.  Protein analytical assays for diagnosing, monitoring, and choosing treatment for cancer patients.

Authors:  Alicia D Powers; Sean P Palecek
Journal:  J Healthc Eng       Date:  2012-12       Impact factor: 2.682

4.  Kinetic modeling of hyperpolarized 13C label exchange between pyruvate and lactate in tumor cells.

Authors:  Timothy H Witney; Mikko I Kettunen; Kevin M Brindle
Journal:  J Biol Chem       Date:  2011-05-19       Impact factor: 5.157

5.  Genotyping analysis and ¹⁸FDG uptake in breast cancer patients: a preliminary research.

Authors:  Valentina Bravatà; Alessandro Stefano; Francesco P Cammarata; Luigi Minafra; Giorgio Russo; Stefania Nicolosi; Sabina Pulizzi; Cecilia Gelfi; Maria C Gilardi; Cristina Messa
Journal:  J Exp Clin Cancer Res       Date:  2013-04-30

Review 6.  Current opportunities and challenges of magnetic resonance spectroscopy, positron emission tomography, and mass spectrometry imaging for mapping cancer metabolism in vivo.

Authors:  Gigin Lin; Yuen-Li Chung
Journal:  Biomed Res Int       Date:  2014-03-03       Impact factor: 3.411

7.  Metabolic plasticity of metastatic breast cancer cells: adaptation to changes in the microenvironment.

Authors:  Rui V Simões; Inna S Serganova; Natalia Kruchevsky; Avigdor Leftin; Alexander A Shestov; Howard T Thaler; George Sukenick; Jason W Locasale; Ronald G Blasberg; Jason A Koutcher; Ellen Ackerstaff
Journal:  Neoplasia       Date:  2015-08       Impact factor: 5.715

Review 8.  Glucose Metabolism on Tumor Plasticity, Diagnosis, and Treatment.

Authors:  Xiaoping Lin; Zizheng Xiao; Tao Chen; Steven H Liang; Huiqin Guo
Journal:  Front Oncol       Date:  2020-03-06       Impact factor: 6.244

  8 in total

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