Raman spectroscopy of serum: A study on 'pre' and 'post' breast adenocarcinoma resection in rat models

Tanmoy Bhattacharjee; Aarif Khan; Piyush Kumar; Arvind Ingle; Girish Maru; C. Murali Krishna

doi:10.1002/jbio.201400040

Raman spectroscopy of serum: A study on 'pre' and 'post' breast adenocarcinoma resection in rat models

Tanmoy Bhattacharjee, Aarif Khan, Piyush Kumar, Arvind Ingle, Girish Maru, C. Murali Krishna

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

Abstract

Risk of recurrence is a major problem in breast cancer management. Currently available prognostic markers have several disadvantages including low sensitivity and specificity, highlighting the need for new prognostic techniques. One of the candidate techniques is serum-based Raman spectroscopy (RS). In this study, feasibility of using RS to distinguish 'pre' from 'post' breast tumor resection serum in rats was explored. Spectral analysis suggests change in proteins and amino acid profiles in 'post' compared to 'pre-surgical' group. Principal-Component-Linear-Discriminant-Analysis shows 87% and 91% classification efficiency for 'pre' and 'post-surgical' groups respectively. Thus, the study further supports efficacy of RS for theranostic applications.

Original language	English
Pages (from-to)	575-583
Number of pages	9
Journal	Journal of Biophotonics
Volume	8
Issue number	7
DOIs	https://doi.org/10.1002/jbio.201400040
State	Published - 1 Jul 2015
Externally published	Yes

Keywords

Animal model
Breast adenocarcinomas
PC-LDA
Pre and post surgical resection
Raman spectroscopy
Serum
Tumor resection surgery

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title = "Raman spectroscopy of serum: A study on 'pre' and 'post' breast adenocarcinoma resection in rat models",

abstract = "Risk of recurrence is a major problem in breast cancer management. Currently available prognostic markers have several disadvantages including low sensitivity and specificity, highlighting the need for new prognostic techniques. One of the candidate techniques is serum-based Raman spectroscopy (RS). In this study, feasibility of using RS to distinguish 'pre' from 'post' breast tumor resection serum in rats was explored. Spectral analysis suggests change in proteins and amino acid profiles in 'post' compared to 'pre-surgical' group. Principal-Component-Linear-Discriminant-Analysis shows 87% and 91% classification efficiency for 'pre' and 'post-surgical' groups respectively. Thus, the study further supports efficacy of RS for theranostic applications.",

keywords = "Animal model, Breast adenocarcinomas, PC-LDA, Pre and post surgical resection, Raman spectroscopy, Serum, Tumor resection surgery",

author = "Tanmoy Bhattacharjee and Aarif Khan and Piyush Kumar and Arvind Ingle and Girish Maru and Krishna, {C. Murali}",

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T2 - A study on 'pre' and 'post' breast adenocarcinoma resection in rat models

AU - Bhattacharjee, Tanmoy

AU - Khan, Aarif

AU - Kumar, Piyush

AU - Ingle, Arvind

AU - Maru, Girish

AU - Krishna, C. Murali

PY - 2015/7/1

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N2 - Risk of recurrence is a major problem in breast cancer management. Currently available prognostic markers have several disadvantages including low sensitivity and specificity, highlighting the need for new prognostic techniques. One of the candidate techniques is serum-based Raman spectroscopy (RS). In this study, feasibility of using RS to distinguish 'pre' from 'post' breast tumor resection serum in rats was explored. Spectral analysis suggests change in proteins and amino acid profiles in 'post' compared to 'pre-surgical' group. Principal-Component-Linear-Discriminant-Analysis shows 87% and 91% classification efficiency for 'pre' and 'post-surgical' groups respectively. Thus, the study further supports efficacy of RS for theranostic applications.

AB - Risk of recurrence is a major problem in breast cancer management. Currently available prognostic markers have several disadvantages including low sensitivity and specificity, highlighting the need for new prognostic techniques. One of the candidate techniques is serum-based Raman spectroscopy (RS). In this study, feasibility of using RS to distinguish 'pre' from 'post' breast tumor resection serum in rats was explored. Spectral analysis suggests change in proteins and amino acid profiles in 'post' compared to 'pre-surgical' group. Principal-Component-Linear-Discriminant-Analysis shows 87% and 91% classification efficiency for 'pre' and 'post-surgical' groups respectively. Thus, the study further supports efficacy of RS for theranostic applications.

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KW - Breast adenocarcinomas

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Raman spectroscopy of serum: A study on 'pre' and 'post' breast adenocarcinoma resection in rat models

Abstract

Keywords

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