Factors influencing the discrimination and classification of prostate cancer cell lines by FTIR microspectroscopy

Harvey, Tim J; Gazi, Ehsan; Henderson, Alex; Snook, Richard D.; Clarke, Noel W.; Brown, Michael D.; Gardner, Peter

doi:10.1039/b903249e

Cited by 73 publications

(80 citation statements)

References 45 publications

(49 reference statements)

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“…This was thought to be due to the nucleus to cytoplasm ratio of the cells being more discriminatory than biochemical changes. However, a recent study 28 has shown that the major reason for discrimination of prostate cancer cell lines, albeit ones from different anatomical positions, by FTIR is the biochemical differences between the cell lines. Thus we can be confident that we are observing discriminatory biochemical differences between the RWPE family of cell lines but it should be stressed that these differences appear to derive from the method of transformation rather than the degree of invasiveness.…”

Section: Laboratory Based and Synchrotron Based Microspectroscopic Studymentioning

confidence: 99%

An investigation of the RWPE prostate derived family of cell lines using FTIR spectroscopy

Baker

Clarke²,

Démoulin

et al. 2010

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Interest in developing robust, quicker and easier diagnostic tests for cancer has lead to an increased use of Fourier transform infrared (FTIR) spectroscopy to meet that need. In this study we present the use of different experimental modes of infrared spectroscopy to investigate the RWPE human prostate epithelial cell line family which are derived from the same source but differ in their mode of transformation and their mode of invasive phenotype. Importantly, analysis of the infrared spectra obtained using different experimental modes of infrared spectroscopy produces similar results. The RWPE family of cell lines can be separated into groups based upon the method of cell transformation rather than the resulting invasiveness/aggressiveness of the cell line. The study also demonstrates the possibility of using a genetic algorithm as a possible standardised pre-processing step and raises the important question of the usefulness of cell lines to create a biochemical model of prostate cancer progression.

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Section: Laboratory Based and Synchrotron Based Microspectroscopic Studymentioning

confidence: 99%

An investigation of the RWPE prostate derived family of cell lines using FTIR spectroscopy

Baker

Clarke²,

Démoulin

et al. 2010

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“…In order to avoid over-¯tting of the data, as a thumb rule, total number of factors selected for analysis were less than half the number of the spectra in the smallest group. [40][41][42] During PC-LDA, use of less than 10 PC factors for LDA is the best compromise on the information being included and data noise being excluded. 43 During PC-LDA, several factors were explored for classi¯cation and only factors with minimum over-¯tting and maximum classi¯-cation e±ciency were¯nally selected for analysis.…”

Section: Spectral Pre-processing and Data Analysismentioning

confidence: 99%

In vivosubsite classification and diagnosis of oral cancers using Raman spectroscopy

Sahu

Deshmukh

Hole

et al. 2016

J. Innov. Opt. Health Sci.

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Oral cancers su®er from poor disease-free survival rates due to delayed diagnosis. Noninvasive, rapid, objective approaches as adjuncts to visual inspection can help in better management of oral cancers. Raman spectroscopy (RS) has shown potential in identi¯cation of oral premalignant and malignant conditions and also in the detection of early cancer changes like cancer-¯eld-e®ects (CFE) at buccal mucosa subsite. Anatomic di®erences between di®erent oral subsites have also been reported using RS. In this study, anatomical di®erences between subsites and their possible in°uence on healthy vs pathological classi¯cation were evaluated on 85 oral cancer and 72 healthy subjects. Spectra were acquired from buccal mucosa, lip and tongue in healthy, contralateral (internal healthy control), premalignant and cancer conditions using¯ber-optic Raman spectrometer. Mean spectra indicate predominance of lipids in healthy buccal mucosa, contribution of both lipids and proteins in lip while major dominance of protein in tongue spectra. From healthy to tumor, changes in protein secondary-structure, DNA and heme-related features were observed. Principal component linear discriminant analysis (PC-LDA) followed by leave-one-out-crossvalidation (LOOCV) was used for data analysis. Findings indicate buccal mucosa and tongue are distinct entities, while lip misclassi¯es with both these subsites. Additionally, the diagnostic algorithm for individual subsites gave improved classi¯cation e±ciencies with respect to the pooled subsites model. However, as the pooled subsites model yielded 98% speci¯city and 100% sensitivity, this model may be more useful for preliminary screening applications. Large-scale validation studies are a pre-requisite before envisaging future clinical applications.

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“…3, a dose-dependent decrease in cell viability was observed with approximate 100% cell death at 20 mM. Inhibitory concentration 50 (IC 50 ) i.e., the concentration required to kill half the population of cells was observed to be approximately 8 mM. A famous axiom in toxicology by Paracelsus states, \The dose makes the poison".…”

Section: Results and Discussion 31 Ptx A®ects Cellular Viability Anmentioning

confidence: 99%

Investigating the effects of Pentoxifylline on human breast cancer cells using Raman spectroscopy

Goel

Singh

Krishna

et al. 2015

J. Innov. Opt. Health Sci.

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Breast cancer is one of the leading causes of cancer-related deaths in a global scenario. In the present study, biochemical changes exerted upon Pentoxifylline (PTX) treatment had been appraised in human breast cancer cells using Raman spectroscopy. There are no clinically approved methods to monitor such therapeutic responses available. The spectral pro¯ling is suggestive of changes in DNA, protein and lipid contents showing a linear relationship with drug dosage. Further, multivariate analysis using principal-component based linear-discriminant-analysis (PC-LDA) was employed for classifying the control and the PTX treated groups. These¯ndings support the feasibility of Raman spectroscopy as an alternate/adjunct label-free, objective method for monitoring drug-induced modi¯cations against breast cancer cells.

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Factors influencing the discrimination and classification of prostate cancer cell lines by FTIR microspectroscopy

Cited by 73 publications

References 45 publications

An investigation of the RWPE prostate derived family of cell lines using FTIR spectroscopy

An investigation of the RWPE prostate derived family of cell lines using FTIR spectroscopy

In vivosubsite classification and diagnosis of oral cancers using Raman spectroscopy

Investigating the effects of Pentoxifylline on human breast cancer cells using Raman spectroscopy

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