Literature DB >> 19259625

Fluorescence lifetime imaging of endogenous fluorophores in histopathology sections reveals differences between normal and tumor epithelium in carcinoma in situ of the breast.

Matthew W Conklin1, Paolo P Provenzano, Kevin W Eliceiri, Ruth Sullivan, Patricia J Keely.   

Abstract

The classical examination of histology slides from a mouse model of breast cancer has been extended in this study to incorporate modern multiphoton excitation and photon-counting techniques. The advantage of such approaches is quantification of potential diagnostic parameters from the fluorescence emission signal, whereby the traditional descriptive staging process is complemented by measurements of fluorescence intensity, lifetime, and spectra. We explored whether the clinical "gold standard" of eosin and hematoxylin stained histology slides would provide optical biomarker signatures of diagnostic value. Alternatively, we examined unstained slides for changes in intensity and/or fluorescence lifetime of relevant endogenous fluorophores. Although eosin provided a strong emission signal and had distinct spectra and lifetime, we found that it was not useful as a fluorescent biological marker, particularly when combined with hematoxylin. Instead, we found that the properties of the fluorescence from the endogenous fluorophores NADH and FAD were indicative of the pathological state of the tissue. Comparing regions of carcinoma in situ to adjacent histologically normal regions, we found that tumor cells produced higher intensity and had a longer fluorescence lifetime. By imaging at 780 nm and 890 nm excitation, we were able to differentiate the fluorescence of FAD from NADH by separating the emission spectra. The shift to a longer lifetime in tumor cells was independent of the free or bound state of FAD and NADH, and of the excitation wavelength. Most forms of cancer have altered metabolism and redox ratios; here we present a method that has potential for early detection of these changes, which are preserved in fixed tissue samples such as classic histopathology slides.

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Year:  2009        PMID: 19259625      PMCID: PMC5575754          DOI: 10.1007/s12013-009-9046-7

Source DB:  PubMed          Journal:  Cell Biochem Biophys        ISSN: 1085-9195            Impact factor:   2.194


  52 in total

1.  Analysis of histology specimens using lifetime multiphoton microscopy.

Authors:  Kevin W Eliceiri; Ching-Hua Fan; Gary E Lyons; John G White
Journal:  J Biomed Opt       Date:  2003-07       Impact factor: 3.170

Review 2.  Applications of combined spectral lifetime microscopy for biology.

Authors:  Long Yan; Curtis T Rueden; John G White; Kevin W Eliceiri
Journal:  Biotechniques       Date:  2006-09       Impact factor: 1.993

3.  In vivo multiphoton microscopy of NADH and FAD redox states, fluorescence lifetimes, and cellular morphology in precancerous epithelia.

Authors:  Melissa C Skala; Kristin M Riching; Annette Gendron-Fitzpatrick; Jens Eickhoff; Kevin W Eliceiri; John G White; Nirmala Ramanujam
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-27       Impact factor: 11.205

4.  Application of fluorescence lifetime imaging of enhanced green fluorescent protein to intracellular pH measurements.

Authors:  Takakazu Nakabayashi; Hui-Ping Wang; Masataka Kinjo; Nobuhiro Ohta
Journal:  Photochem Photobiol Sci       Date:  2008-04-01       Impact factor: 3.982

5.  Two-photon laser scanning fluorescence microscopy.

Authors:  W Denk; J H Strickler; W W Webb
Journal:  Science       Date:  1990-04-06       Impact factor: 47.728

6.  Multiphoton excitation of autofluorescence for microscopy of glioma tissue.

Authors:  Jan Leppert; Jochen Krajewski; Sven Rainer Kantelhardt; Sven Schlaffer; Nadine Petkus; Erich Reusche; Gerion Hüttmann; Alf Giese
Journal:  Neurosurgery       Date:  2006-04       Impact factor: 4.654

Review 7.  Why do cancers have high aerobic glycolysis?

Authors:  Robert A Gatenby; Robert J Gillies
Journal:  Nat Rev Cancer       Date:  2004-11       Impact factor: 60.716

Review 8.  Warburg, me and Hexokinase 2: Multiple discoveries of key molecular events underlying one of cancers' most common phenotypes, the "Warburg Effect", i.e., elevated glycolysis in the presence of oxygen.

Authors:  Peter L Pedersen
Journal:  J Bioenerg Biomembr       Date:  2007-06       Impact factor: 2.945

9.  In vivo multiphoton fluorescence lifetime imaging of protein-bound and free nicotinamide adenine dinucleotide in normal and precancerous epithelia.

Authors:  Melissa C Skala; Kristin M Riching; Damian K Bird; Annette Gendron-Fitzpatrick; Jens Eickhoff; Kevin W Eliceiri; Patricia J Keely; Nirmala Ramanujam
Journal:  J Biomed Opt       Date:  2007 Mar-Apr       Impact factor: 3.170

Review 10.  Going malignant: the hypoxia-cancer connection in the prostate.

Authors:  P W Hochachka; J L Rupert; L Goldenberg; M Gleave; P Kozlowski
Journal:  Bioessays       Date:  2002-08       Impact factor: 4.345

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  46 in total

1.  Rapid imaging of surgical breast excisions using direct temporal sampling two photon fluorescent lifetime imaging.

Authors:  Michael G Giacomelli; Yuri Sheikine; Hilde Vardeh; James L Connolly; James G Fujimoto
Journal:  Biomed Opt Express       Date:  2015-10-08       Impact factor: 3.732

2.  Molecular and Functional Networks Linked to Sarcopenia Prevention by Caloric Restriction in Rhesus Monkeys.

Authors:  Timothy W Rhoads; Josef P Clark; Grace E Gustafson; Karl N Miller; Matthew W Conklin; Tyler M DeMuth; Mark E Berres; Kevin W Eliceiri; Laura K Vaughan; Christine W Lary; T Mark Beasley; Ricki J Colman; Rozalyn M Anderson
Journal:  Cell Syst       Date:  2020-01-22       Impact factor: 10.304

Review 3.  [Multiphoton tomography].

Authors:  M Zieger; S Springer; M J Koehler; M Kaatz
Journal:  Hautarzt       Date:  2015-07       Impact factor: 0.751

Review 4.  Recent trends in two-photon auto-fluorescence lifetime imaging (2P-FLIM) and its biomedical applications.

Authors:  Harsh Ranawat; Sagnik Pal; Nirmal Mazumder
Journal:  Biomed Eng Lett       Date:  2019-07-01

5.  Ex vivo optical metabolic measurements from cultured tissue reflect in vivo tissue status.

Authors:  Alex J Walsh; Kristin M Poole; Craig L Duvall; Melissa C Skala
Journal:  J Biomed Opt       Date:  2012-11       Impact factor: 3.170

6.  Computational segmentation of collagen fibers from second-harmonic generation images of breast cancer.

Authors:  Jeremy S Bredfeldt; Yuming Liu; Carolyn A Pehlke; Matthew W Conklin; Joseph M Szulczewski; David R Inman; Patricia J Keely; Robert D Nowak; Thomas R Mackie; Kevin W Eliceiri
Journal:  J Biomed Opt       Date:  2014-01       Impact factor: 3.170

7.  Optical Redox Imaging of Fixed Unstained Muscle Slides Reveals Useful Biological Information.

Authors:  He N Xu; Huaqing Zhao; Karthikeyani Chellappa; James G Davis; Shoko Nioka; Joseph A Baur; Lin Z Li
Journal:  Mol Imaging Biol       Date:  2019-06       Impact factor: 3.488

8.  Optical redox imaging indices discriminate human breast cancer from normal tissues.

Authors:  He N Xu; Julia Tchou; Min Feng; Huaqing Zhao; Lin Z Li
Journal:  J Biomed Opt       Date:  2016-11-01       Impact factor: 3.170

9.  Multiphoton flow cytometry to assess intrinsic and extrinsic fluorescence in cellular aggregates: applications to stem cells.

Authors:  David G Buschke; Jayne M Squirrell; Hidayath Ansari; Michael A Smith; Curtis T Rueden; Justin C Williams; Gary E Lyons; Timothy J Kamp; Kevin W Eliceiri; Brenda M Ogle
Journal:  Microsc Microanal       Date:  2010-08-05       Impact factor: 4.127

10.  Nonlinear optical microscopy and computational analysis of intrinsic signatures in breast cancer.

Authors:  Curtis T Rueden; Matthew W Conklin; Paolo P Provenzano; Patricia J Keely; Kevin W Eliceiri
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009
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