Application of Linear Discriminant Analysis and Attenuated Total Reflectance Fourier Transform Infrared Microspectroscopy for Diagnosis of Colon Cancer

Khanmohammadi, Mohammadreza; Garmarudi, Amir Bagheri; Samani, Simin; Ghasemi, Keyvan; Ashuri, Ahmad

doi:10.1007/s12253-010-9326-y

Cited by 43 publications

(30 citation statements)

References 37 publications

(46 reference statements)

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“…In order to assess subtle changes that may occur in tumor molecular assembly depending on whether host animals do express lumican or not, an innovative method relying on unsupervised K -means clustering of FT-IR spectral images was then used 33 , 34 . Second derivative spectra obtained from s.c. melanoma allografts were partitioned into 9 clusters being representative of tissue biochemical properties 34 , 35 (Fig. 5a and b ).…”

Section: Resultsmentioning

confidence: 99%

Lumican delays melanoma growth in mice and drives tumor molecular assembly as well as response to matrix-targeted TAX2 therapeutic peptide

Jeanne

Untereiner

Perreau

et al. 2017

Sci Rep

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Lumican is a small leucine-rich proteoglycan (SLRP) being known as a key regulator of collagen fibrillogenesis. However, little attention has been given so far in studying its influence on tumor-associated matrix architecture. Here, we investigate the role of host lumican on tumor matrix organization as well as on disease progression considering an immunocompetent model of melanoma implanted in Lum −/− vs. wild type syngeneic mice. Conjointly, lumican impact on tumor response to matrix-targeted therapy was evaluated considering a previously validated peptide, namely TAX2, that targets matricellular thrombospondin-1. Analysis of available genomics and proteomics databases for melanoma first established a correlation between lumican expression and patient outcome. In the B16 melanoma allograft model, endogenous lumican inhibits tumor growth and modulates response to TAX2 peptide. Indeed, IHC analyses revealed that lumican deficiency impacts intratumoral distribution of matricellular proteins, growth factor and stromal cells. Besides, innovative imaging approaches helped demonstrating that lumican host expression drives biochemical heterogeneity of s.c. tumors, while modulating intratumoral collagen deposition as well as organization. Altogether, the results obtained present lumican as a strong endogenous inhibitor of tumor growth, while identifying for the first time this proteoglycan as a major driver of tumor matrix coherent assembly.

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Section: Resultsmentioning

confidence: 99%

Lumican delays melanoma growth in mice and drives tumor molecular assembly as well as response to matrix-targeted TAX2 therapeutic peptide

Jeanne

Untereiner

Perreau

et al. 2017

Sci Rep

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“…50 It aims to maximize the ratio of between-class variance to within-class variance. [51][52][53][54] A five-class LDA model was chosen. Four classes assigned to specific tissue structures (i.e., [1] normal glomeruli and tubular sections, [2] constitutive collagen, [3] fibrosis, and [4] inflammation) were retained.…”

Section: Spectral Data Processingmentioning

confidence: 99%

Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier–Transform Infrared Imaging Technique

Vuiblet

Fere

Gobinet

et al. 2015

JASN

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Renal interstitial fibrosis and interstitial active inflammation are the main histologic features of renal allograft biopsy specimens. Fibrosis is currently assessed by semiquantitative subjective analysis, and color image analysis has been developed to improve the reliability and repeatability of this evaluation. However, these techniques fail to distinguish fibrosis from constitutive collagen or active inflammation. We developed an automatic, reproducible Fourier-transform infrared (FTIR) imaging-based technique for simultaneous quantification of fibrosis and inflammation in renal allograft biopsy specimens. We generated and validated a classification model using 49 renal biopsy specimens and subsequently tested the robustness of this classification algorithm on 166 renal grafts. Finally, we explored the clinical relevance of fibrosis quantification using FTIR imaging by comparing results with renal function at 3 months after transplantation (M3) and the variation of renal function between M3 and M12. We showed excellent robustness for fibrosis and inflammation classification, with .90% of renal biopsy specimens adequately classified by FTIR imaging. Finally, fibrosis quantification by FTIR imaging correlated with renal function at M3, and the variation in fibrosis between M3 and M12 correlated well with the variation in renal function over the same period. This study shows that FTIRbased analysis of renal graft biopsy specimens is a reproducible and reliable label-free technique for quantifying fibrosis and active inflammation. This technique seems to be more relevant than digital image analysis and promising for both research studies and routine clinical practice.

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“…Numerous diseases have already been detected by applying FTIR in serum and plasma samples such as rheumatoid arthritis (LECHOWICZ et al, 2016), heart disease (HAAS et al, 2010), dyslipidemia (SATO et al, 2010), leukemia (SHENG et al, 2013 and bladder (OLLESCH et al, 2014), ovary (GAJJAR et al, 2013OWENS et al, 2014) and lung cancer (KAZNOWSKA et al, 2018). In CRC cases, the investigations have focused on the discrimination of malignant tissues from healthy tissues using preponderantly solid biopsies through the FTIR microspectroscopy technique (ARGOV et al, 2002;KAZNOWSKA et al, 2017;KHANMOHAMMADI et al, 2009;KHANMOHAMMADI et al, 2011;LI, Q.-B. et al, 2005;LI, X. et al, 2012;RAMESH et al, 2001;SALMAN;MORDECHAI, 2017;SALMAN et al, 2001).…”

Section: Ftir As An Alternative For Technological Innovation In Healtmentioning

confidence: 99%

Discrimination of healthy and colorectal cancer patients using FTIR and PLS-DA

Riça

Cassol²,

Rieger

et al. 2019

RJP

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Spectroscopic methods have already been used as effective tools in several studies involving the detection of cancer. Fourier transform infrared spectroscopy (FTIR) has already been applied in the discrimination of cancer cells and tissues or blood of patients with the disease, observing that this technique requires the use of chemometric algorithms to obtain such results. The aim of this study was to employ a partial least squares discriminant analysis (PLS-DA) with FTIR data in the discrimination of plasma samples from patients with colorectal cancer (RCC) and healthy individuals. Multivariate analysis was performed using PLS-DA of the sample triplicates (n=90) with different types of processing. The best PLS-DA condition was obtained using the 1st derivative, 1 orthogonal signal correction (OSC) and no pre-processing. With 1 factor only, the model presented a mean square error of cross-validation (RMSECV) of 0.0004 and coefficient of determination (r^2) of 1.0000. The accuracy, precision and sensitivity of the model were 100%.

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Application of Linear Discriminant Analysis and Attenuated Total Reflectance Fourier Transform Infrared Microspectroscopy for Diagnosis of Colon Cancer

Cited by 43 publications

References 37 publications

Lumican delays melanoma growth in mice and drives tumor molecular assembly as well as response to matrix-targeted TAX2 therapeutic peptide

Lumican delays melanoma growth in mice and drives tumor molecular assembly as well as response to matrix-targeted TAX2 therapeutic peptide

Renal Graft Fibrosis and Inflammation Quantification by an Automated Fourier–Transform Infrared Imaging Technique

Discrimination of healthy and colorectal cancer patients using FTIR and PLS-DA

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