Literature DB >> 19226625

Biochemical correlation of Raman spectra of normal, benign and malignant breast tissues: a spectral deconvolution study.

M V P Chowdary1, K Kalyan Kumar, Stanley Mathew, Lakshmi Rao, C Murali Krishna, Jacob Kurien.   

Abstract

The aim of this study was to understand and correlate spectral features and biochemical changes in normal, fibroadenoma and infiltrating ductal carcinoma of breast tissues using Raman spectra that were part of the spectroscopic models developed and evaluated by us earlier. Spectra were subjected to curve fitting and intensities plots of resultant curve resolved bands were computed. This study has revealed that fat (1301 and 1440 cm(-1)), collagen (1246, 1271, and 1671 cm(-1)) and DNA (1340 and 1480 cm(-1)) bands have strong presence in normal, benign and malignant breast tissues, respectively. Intensity plots of various combinations of curved resolved bands were also explored to classify tissue types. Combinations of fat (1301 cm(-1)) and collagen (1246, 1271, and 1671 cm(-1))/amide I; DNA (1340 cm(-1)) and fat (1301 cm(-1)); collagen (1271 cm(-1)) and DNA (1480 cm(-1)) are found to be good discriminating parameters. These results are in tune with findings of earlier studies carried out on western population as well as our molecular biological understanding of normal tissues and neoplastic processes. Thus the finding of this study further demonstrates the efficacy Raman spectroscopic approaches in diagnostic applications as well as in understanding molecular phenomenon in breast cancers. (c) 2009 Wiley Periodicals, Inc.

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Year:  2009        PMID: 19226625     DOI: 10.1002/bip.21171

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  13 in total

1.  Label-free DNA imaging in vivo with stimulated Raman scattering microscopy.

Authors:  Fa-Ke Lu; Srinjan Basu; Vivien Igras; Mai P Hoang; Minbiao Ji; Dan Fu; Gary R Holtom; Victor A Neel; Christian W Freudiger; David E Fisher; X Sunney Xie
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-31       Impact factor: 11.205

2.  Rapid detection of nasopharyngeal cancer using Raman spectroscopy and multivariate statistical analysis.

Authors:  Yongzeng Li; Wei Huang; Jianji Pan; Qing Ye; Shaojun Lin; Shangyuan Feng; Shusen Xie; Haishan Zeng; Rong Chen
Journal:  Mol Clin Oncol       Date:  2014-12-02

3.  Classification for breast cancer diagnosis with Raman spectroscopy.

Authors:  Qingbo Li; Qishuo Gao; Guangjun Zhang
Journal:  Biomed Opt Express       Date:  2014-06-27       Impact factor: 3.732

4.  Sensitivity of Raman spectroscopy to normal patient variability.

Authors:  Elizabeth Vargis; Teresa Byrd; Quinisha Logan; Dineo Khabele; Anita Mahadevan-Jansen
Journal:  J Biomed Opt       Date:  2011-11       Impact factor: 3.170

5.  Preliminary study of differentiating smears from cancerous and non-cancerous nasopharyngeal tissue using confocal Raman spectroscopy.

Authors:  Liqing Sun; Zhihong Xu; Wei Huang; Shanshan Wu; Xinheng Lin; Fengyu Zhu; Nengrong Liu; Meizhen Huang; Rong Chen; Haishan Zeng
Journal:  J Cancer Res Clin Oncol       Date:  2015-11-26       Impact factor: 4.553

Review 6.  Raman spectroscopy in head and neck cancer.

Authors:  Andrew T Harris; Andrew Rennie; Haroon Waqar-Uddin; Sarah R Wheatley; Samit K Ghosh; Dominic P Martin-Hirsch; Sheila E Fisher; Alec S High; Jennifer Kirkham; Tahwinder Upile
Journal:  Head Neck Oncol       Date:  2010-10-05

7.  Precision of Raman spectroscopy measurements in detection of microcalcifications in breast needle biopsies.

Authors:  Anushree Saha; Ishan Barman; Narahara Chari Dingari; Luis H Galindo; Abdus Sattar; Wendy Liu; Donna Plecha; Nina Klein; Ramachandra Rao Dasari; Maryann Fitzmaurice
Journal:  Anal Chem       Date:  2012-07-12       Impact factor: 6.986

8.  Swiss bare mice: a suitable model for transcutaneous in vivo Raman spectroscopic studies of breast cancer.

Authors:  T Bhattacharjee; Piyush Kumar; G Maru; A Ingle; C Murali Krishna
Journal:  Lasers Med Sci       Date:  2013-05-25       Impact factor: 3.161

9.  Application of Raman spectroscopy to identify microcalcifications and underlying breast lesions at stereotactic core needle biopsy.

Authors:  Ishan Barman; Narahara Chari Dingari; Anushree Saha; Sasha McGee; Luis H Galindo; Wendy Liu; Donna Plecha; Nina Klein; Ramachandra Rao Dasari; Maryann Fitzmaurice
Journal:  Cancer Res       Date:  2013-06-01       Impact factor: 12.701

10.  Raman spectroscopic methods for classification of normal and malignant hypopharyngeal tissues: an exploratory study.

Authors:  Parul Pujary; K Maheedhar; C Murali Krishna; Kailesh Pujary
Journal:  Patholog Res Int       Date:  2011-07-24
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