Optical detection and grading of lung neoplasia by Raman microspectroscopy

Our plain-English summary of Optical detection and grading of lung neoplasia by Raman microspectroscopy, by P.R. Jess, M. Mazilu, K. Dholakia, et al (International Journal of Cancer, 2009).

The study

• Authors: P.R. Jess, M. Mazilu, K. Dholakia, A.C. Riches, C.S. Herrington
• Journal: International Journal of Cancer
• Published: 2009;124(2):376-80
• Cited by: 19 articles, as counted by NIH iCite
• Read it: PubMed · Publisher

Abstract

The aim of this study was to investigate whether Raman spectroscopy could be used to identify and potentially grade lung neoplasia in cell samples. Normal human bronchial epithelial cells (HBEpCs) were analyzed by Raman spectroscopy and compared with (i) HBEpCs expressing human papillomavirus (HPV) type 16 E7 or CDK4; (ii) the immortalized bronchial epithelial cell line BEP2D and (iii) its asbestos-transformed derivative AsbTB2A. Overall, Raman spectroscopy, in combination with a linear discriminant analysis algorithm, was able to identify abnormal cells with a sensitivity of 91% and a specificity of 75%. Subdivision of the cell types into 3 groups, representing normal cells (HBEpCs), cells with extended lifespan (HBEpCs expressing HPV 16 E7 or CDK4) and immortalized/transformed cells (BEP2D and AsbTB2A) showed that Raman spectroscopy identifies cells in these categories correctly with sensitivities of 75, 79 and 87%, and specificities of 91, 85 and 96%, respectively. In conclusion, Raman spectroscopy can, with high sensitivity, detect the presence of neoplastic development in lung cells and identify the stage of this development accurately, suggesting that this minimally invasive optical technology has potential for lung cancer diagnosis.

Copyright (c) 2008 Wiley-Liss, Inc.

In plain English

This laboratory study tested whether Raman spectroscopy, a laser technique that reads the chemical make-up of cells, could tell normal lung cells from cells at different stages on the way to cancer. No people were studied. The authors used five cell types: normal human bronchial epithelial (airway lining) cells; normal cells altered to express HPV 16 E7 or CDK4, which extends their lifespan; an immortalized cell line called BEP2D; and AsbTB2A, a malignant cell line derived from BEP2D after exposure to chrysotile asbestos fibers. They recorded spectra from 75 cells of each type and sorted them with a statistical classification method. Overall, the method had a sensitivity of 91% (abnormal cells correctly flagged) and a specificity of 75% (normal cells correctly recognized). It correctly identified 70% of AsbTB2A cells and 63% of BEP2D cells. None of the AsbTB2A cells and 4% of BEP2D cells would have been misclassified as normal. The authors concluded that Raman spectroscopy can detect neoplastic development in lung cells and has potential for lung cancer diagnosis.

We wrote this plain-English summary from the full article with the help of AI, and a second AI model checked each sentence against the article. It is not the authors' wording; the abstract and the article are their own account.

What the study did and found

• Design: laboratory study of cultured cell lines using confocal Raman microspectroscopy with linear discriminant analysis and k-nearest neighbors classification
• Who was studied: Five cell types: normal human bronchial epithelial cells (HBEpCs), HBEpCs expressing HPV 16 E7, HBEpCs expressing CDK4, the immortalized BEP2D line, and the asbestos-transformed AsbTB2A line. Spectra were taken from 75 cells of each type.
• Exposure: The AsbTB2A cell line was derived from BEP2D cells after exposure to asbestos (chrysotile fibers). The asbestos exposure was part of the cell line's origin, not part of this study's experiments.
• Main results:
  • For all abnormal cell types combined, sensitivity was 91% and specificity was 75%.
  • For the three groups (normal cells, cells with extended lifespan, and immortalized/transformed cells), sensitivities were 75, 79 and 87%, and specificities were 91, 85 and 96%, respectively.
  • Correct identification was 58% for CDK4 cells, 63% for BEP2D cells and 70% for AsbTB2A cells (and 75% for normal cells and 77% for E7 cells).
  • 4% of BEP2D cells and none of the AsbTB2A cells would have been misclassified as normal.
  • The authors stated that the effects of asbestos-induced transformation were detectable by Raman spectroscopy.
• The authors' conclusion: The authors concluded that Raman spectroscopy can, with high sensitivity, detect neoplastic development in lung cells and identify its stage, suggesting potential for lung cancer diagnosis.
• Limitations the authors state:
  • The authors noted that the sample was relatively small, which produced local peaks in the noise histograms.
  • The authors acknowledged that the per-cell-type accuracy appears disappointing at first sight.

Topics

The National Library of Medicine indexes this study under subjects our site covers: Lung cancer.

Medical terms in this study, explained in our Lexicon: Lung Cancer.

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