Raman spectroscopic study on prediction of treatment response in cervical cancers

S. Rubina, M. S. Vidyasagar, C. Murali Krishna

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Concurrent chemoradiotherapy (CCRT) is the choice of treatment for locally advanced cervical cancers; however, tumors exhibit diverse response to treatment. Early prediction of tumor response leads to individualizing treatment regimen. Response evaluation criteria in solid tumors (RECIST), the current modality of tumor response assessment, is often subjective and carried out at the first visit after treatment, which is about four months. Hence, there is a need for better predictive tool for radioresponse. Optical spectroscopic techniques, sensitive to molecular alteration, are being pursued as potential diagnostic tools. Present pilot study aims to explore the fiber-optic-based Raman spectroscopy approach in prediction of tumor response to CCRT, before taking up extensive in vivo studies. Ex vivo Raman spectra were acquired from biopsies collected from 11 normal (148 spectra), 16 tumor (201 spectra) and 13 complete response (151 CR spectra), one partial response (8 PR spectra) and one nonresponder (8 NR spectra) subjects. Data was analyzed using principal component linear discriminant analysis (PC-LDA) followed by leave-one-out cross-validation (LOO-CV). Findings suggest that normal tissues can be efficiently classified from both pre- and post-treated tumor biopsies, while there is an overlap between pre- and post-CCRT tumor tissues. Spectra of CR, PR and NR tissues were subjected to principal component analysis (PCA) and a tendency of classification was observed, corroborating previous studies. Thus, this study further supports the feasibility of Raman spectroscopy in prediction of tumor radioresponse and prospective noninvasive in vivo applications.

Original languageEnglish
Article number1350014
JournalJournal of Innovative Optical Health Sciences
Volume6
Issue number2
DOIs
Publication statusPublished - 01-04-2013

Fingerprint

Uterine Cervical Neoplasms
Tumors
tumors
cancer
Chemoradiotherapy
predictions
Neoplasms
Raman Spectrum Analysis
Therapeutics
Biopsy
Tissue
Raman spectroscopy
Discriminant Analysis
Principal Component Analysis
Discriminant analysis
principal components analysis
Principal component analysis
Fiber optics
Raman scattering
fiber optics

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Medicine (miscellaneous)
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

Cite this

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abstract = "Concurrent chemoradiotherapy (CCRT) is the choice of treatment for locally advanced cervical cancers; however, tumors exhibit diverse response to treatment. Early prediction of tumor response leads to individualizing treatment regimen. Response evaluation criteria in solid tumors (RECIST), the current modality of tumor response assessment, is often subjective and carried out at the first visit after treatment, which is about four months. Hence, there is a need for better predictive tool for radioresponse. Optical spectroscopic techniques, sensitive to molecular alteration, are being pursued as potential diagnostic tools. Present pilot study aims to explore the fiber-optic-based Raman spectroscopy approach in prediction of tumor response to CCRT, before taking up extensive in vivo studies. Ex vivo Raman spectra were acquired from biopsies collected from 11 normal (148 spectra), 16 tumor (201 spectra) and 13 complete response (151 CR spectra), one partial response (8 PR spectra) and one nonresponder (8 NR spectra) subjects. Data was analyzed using principal component linear discriminant analysis (PC-LDA) followed by leave-one-out cross-validation (LOO-CV). Findings suggest that normal tissues can be efficiently classified from both pre- and post-treated tumor biopsies, while there is an overlap between pre- and post-CCRT tumor tissues. Spectra of CR, PR and NR tissues were subjected to principal component analysis (PCA) and a tendency of classification was observed, corroborating previous studies. Thus, this study further supports the feasibility of Raman spectroscopy in prediction of tumor radioresponse and prospective noninvasive in vivo applications.",
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Raman spectroscopic study on prediction of treatment response in cervical cancers. / Rubina, S.; Vidyasagar, M. S.; Krishna, C. Murali.

In: Journal of Innovative Optical Health Sciences, Vol. 6, No. 2, 1350014, 01.04.2013.

Research output: Contribution to journalArticle

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