Jump to main content
Jump to site search

Issue 10, 2014
Previous Article Next Article

The use of EEM fluorescence data and OPLS/UPLS-DA algorithm to discriminate between normal and cancer cell lines: a feasibility study

Author affiliations

Abstract

Excitation emission matrix (EEM) fluorescence spectroscopy combined with the OPLS method has been investigated as a promising tool to discriminate between normal and cancer cell lines in two datasets: (i) using several types of normal and cancer cells (including 3T3, ARPE, HEK, HepG2, HeLa, HT-29 and 786-0 cells); (ii) considering the expression of matrix metalloproteinase-2 and -9 (MMP-2 and MMP-9) in suspensions of HEK and 786-0 cell lines. Partial Least Squares-Discriminant Analysis (PLS-DA) using the score matrix from PARAFAC (Parallel Factor Analysis), UPLS-DA (Unfolded Partial Least Squares with Discriminant Analysis) and orthogonal projection to latent structures (OPLS) were used as the bases for the discrimination models. UPLS-DA presented relevant performance for cancer cells in both datasets, with 100% and 66.7% correct prediction for first and second cases, respectively, and poor discrimination relative to normal cells in the first dataset (25%). By using the OPLS, we achieved 75% correct prediction for normal cells and maintained 100% concordance for cancer objects. On applying OPLS to the second dataset, we obtained 100% correct prediction in both classes (normal and cancer) for calibration and prediction sets. These results suggest that EEM fluorescence spectroscopy combined with chemometrics could be used as a clinical tool for cancer cell detection based on intrinsic biomolecular signatures.

Graphical abstract: The use of EEM fluorescence data and OPLS/UPLS-DA algorithm to discriminate between normal and cancer cell lines: a feasibility study

Back to tab navigation

Publication details

The article was received on 10 Feb 2014, accepted on 13 Mar 2014 and first published on 13 Mar 2014


Article type: Paper
DOI: 10.1039/C4AN00296B
Citation: Analyst, 2014,139, 2423-2431
  •   Request permissions

    The use of EEM fluorescence data and OPLS/UPLS-DA algorithm to discriminate between normal and cancer cell lines: a feasibility study

    A. Carolina de Oliveira Neves, R. Fernandes de Araújo Júnior, A. Luiza Cabral de Sá Leitão Oliveira, A. Antunes de Araújo and K. M. G. de Lima, Analyst, 2014, 139, 2423
    DOI: 10.1039/C4AN00296B

Search articles by author

Spotlight

Advertisements