Literature DB >> 17935126

Endogenous optical biomarkers of normal and human papillomavirus immortalized epithelial cells.

Claudia Mujat1, Cherry Greiner, Amy Baldwin, Jonathan M Levitt, Fenghua Tian, Lee A Stucenski, Martin Hunter, Young L Kim, Vadim Backman, Michael Feld, Karl Münger, Irene Georgakoudi.   

Abstract

Cellular transformation is associated with a number of phenotypic, cell biological, biochemical and metabolic alterations. The detection and classification of morphological cellular abnormalities represents the foundation of classical histopathology and remains an important mainstay in the clinic. More recently, significant effort is being expended towards the development of noninvasive modalities for the detection of cancer at an early stage, when therapeutic interventions are highly successful. Methods that rely on the detection of optical signatures represent one class of such approaches that have yielded promising results. In our study, we have applied two spectroscopic imaging approaches to systematically identify in a quantitative manner the fluorescence and light scattering signatures of subcellular abnormalities that are associated with cellular transformation. Notably, we find that tryptophan images reveal not only intensity but also localization differences between normal and human papillomavirus immortalized cells, possibly originating from changes in the expression, 3D packing and organization of proteins and protein-rich subcellular organelles. Additionally, we detect alterations in cellular metabolism through quantitative evaluation of the NADH, FAD fluorescence and the corresponding redox ratio. Finally, we use light scattering spectroscopy to identify differences in nuclear morphology and subcellular organization that occur from the nanometer to the micrometer scale. Thus, these optical approaches provide complementary biomarkers based on endogenous fluorescence and scattering cellular changes that occur at the molecular, biochemical and morphological level. Since they obviate the need for staining and tissue removal and can be easily combined, they provide desirable options for further clinical development and assessment. Copyright 2007 Wiley-Liss, Inc.

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Year:  2008        PMID: 17935126     DOI: 10.1002/ijc.23120

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  21 in total

Review 1.  Optical spectroscopy and imaging for the noninvasive evaluation of engineered tissues.

Authors:  Irene Georgakoudi; William L Rice; Marie Hronik-Tupaj; David L Kaplan
Journal:  Tissue Eng Part B Rev       Date:  2008-12       Impact factor: 6.389

2.  Assessment of cell viability in three-dimensional scaffolds using cellular auto-fluorescence.

Authors:  Roman Dittmar; Esther Potier; Marc van Zandvoort; Keita Ito
Journal:  Tissue Eng Part C Methods       Date:  2011-12-14       Impact factor: 3.056

3.  Extraction of intrinsic fluorescence from single fiber fluorescence measurements on a turbid medium: experimental validation.

Authors:  U A Gamm; C L Hoy; F van Leeuwen-van Zaane; H J C M Sterenborg; S C Kanick; D J Robinson; A Amelink
Journal:  Biomed Opt Express       Date:  2014-05-22       Impact factor: 3.732

4.  Assessing light scattering of intracellular organelles in single intact living cells.

Authors:  Maxim Kalashnikov; Wonshik Choi; Chung-Chieh Yu; Yongjin Sung; Ramachandra R Dasari; Kamran Badizadegan; Michael S Feld
Journal:  Opt Express       Date:  2009-10-26       Impact factor: 3.894

Review 5.  Microscopic imaging and spectroscopy with scattered light.

Authors:  Nada N Boustany; Stephen A Boppart; Vadim Backman
Journal:  Annu Rev Biomed Eng       Date:  2010-08-15       Impact factor: 9.590

6.  Noninvasive identification of subcellular organization and nuclear morphology features associated with leukemic cells using light-scattering spectroscopy.

Authors:  Austin Hsiao; Martin Hunter; Cherry Greiner; Sharad Gupta; Irene Georgakoudi
Journal:  J Biomed Opt       Date:  2011-03       Impact factor: 3.170

7.  Compact point-detection fluorescence spectroscopy system for quantifying intrinsic fluorescence redox ratio in brain cancer diagnostics.

Authors:  Quan Liu; Gerald Grant; Jianjun Li; Yan Zhang; Fangyao Hu; Shuqin Li; Christy Wilson; Kui Chen; Darell Bigner; Tuan Vo-Dinh
Journal:  J Biomed Opt       Date:  2011-03       Impact factor: 3.170

8.  Optical redox ratio differentiates breast cancer cell lines based on estrogen receptor status.

Authors:  Julie Hanson Ostrander; Christine M McMahon; Siya Lem; Stacy R Millon; J Quincy Brown; Victoria L Seewaldt; Nimmi Ramanujam
Journal:  Cancer Res       Date:  2010-05-11       Impact factor: 12.701

Review 9.  Optical imaging for cervical cancer detection: solutions for a continuing global problem.

Authors:  Nadhi Thekkek; Rebecca Richards-Kortum
Journal:  Nat Rev Cancer       Date:  2008-09       Impact factor: 60.716

10.  Quantitative optical imaging of primary tumor organoid metabolism predicts drug response in breast cancer.

Authors:  Alex J Walsh; Rebecca S Cook; Melinda E Sanders; Luigi Aurisicchio; Gennaro Ciliberto; Carlos L Arteaga; Melissa C Skala
Journal:  Cancer Res       Date:  2014-08-06       Impact factor: 12.701

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