Saliva Based Diagnostic Prediction of Oral Squamous Cell Carcinoma using FTIR Spectroscopy

Atkinson AJ Jr, Colburn WA, DeGruttola VB, De Mets DL, Downing GJ, Hoth DF, Oates JA, Peck CC, Schooley RT, Spilker BA, Woodcock J, Zeger SL (2001) Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Ther 69:89–95

Article  Google Scholar 

Zubareva GM, Minkin VM, Bordina GY, Belyaeva IA, Lopina NP, Zubarev SM, Kargapolov AV (2009) Infra-red spectrometry in oral liquid study for diagnostic purposes. Stomatologiia 88(5):7–10

CAS  PubMed  Google Scholar 

Seredin P, Goloshchapov D, Kashkarov V, Ippolitov Y, Bambery K (2016) The investigations of changes in mineral–organic and carbon–phosphate ratios in the mixed saliva by synchrotron infrared spectroscopy. Results Phys 6:315–321

Article  Google Scholar 

Andrei AB, Fleschin Ş, Aboul-Enein HY (2015) Cancer diagnosis by FT-IR spectrophotometry. Rev Roum Chim 60(5–6):415–426

Google Scholar 

Elmi F, Movaghar AF, Elmi MM, Alinezhad H, Nikbakhsh N (2017) Application of FT-IR spectroscopy on breast cancer serum analysis. Spectrochim Acta A Mol Biomol Spectrosc 187:87–91

Article  CAS  PubMed  Google Scholar 

Depciuch J, Kaznowska E, Golowski S, Koziorowska A, Zawlik I, Cholewa M, Szmuc K, Cebulski J (2017) Monitoring breast cancer treatment using a Fourier transform infrared spectroscopy-based computational model. J Pharm Biomed Anal 143:261–268

Article  CAS  PubMed  Google Scholar 

Wang X, Shen X, Sheng D, Chen X, Liu X (2014) FTIR spectroscopic comparison of serum from lung cancer patients and healthy persons. Spectrochim Acta A Mol Biomol Spectrosc 122:193–197

Article  CAS  PubMed  Google Scholar 

Sun X, Xu Y, Wu J, Zhang Y, Sun K (2013) Detection of lung cancer tissue by attenuated total reflection–Fourier transform infrared spectroscopy—a pilot study of 60 samples. J Surg Res 179:33–38

Article  CAS  PubMed  Google Scholar 

Sheng D, Wu Y, Wang X, Huang D, Chen X, Liu X (2013) Comparison of serum from gastric cancer patients and from healthy persons using FTIR spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc 116:365–369

Article  CAS  PubMed  Google Scholar 

Kaznowska E, Depciuch J, Szmuc K, Cebulski J (2017) Use of FTIR spectroscopy and PCA-LDC analysis to identify cancerous lesions within the human colon. J Pharm Biomed Anal 134:259–268

Article  CAS  PubMed  Google Scholar 

Dong L, Sun XJ, Chao Z, Zhang SY, Zheng JB, Gurung R, Du JK, Shi JS, Zhang YF, Wu JG (2014) Evaluation of FTIR spectroscopy as diagnostic tool for colorectal cancer using spectral analysis. Spectrochim Acta A Mol Biomol Spectrosc 122:288–294

Article  CAS  PubMed  Google Scholar 

Sheng D, Xu F, Yu Q, Fang T, Xia J, Li S, Wang X (2015) A study of structural differences between liver cancer cells and normal liver cells using FTIR spectroscopy. J Mol Struct 1099:18–23

Article  CAS  Google Scholar 

Baker MJ, Gazi E, Brown MD, Shanks JH, Clarke NW, Gardner P (2009) Investigating FTIR based histopathology for the diagnosis of prostate cancer. J Biophoton 2:104–113

Article  CAS  Google Scholar 

Gazi E, Baker M, Dwyer J, Lockyer NP, Gardner P, Shanks JH, Reeve RS, Hart CA, Clarke NW, Brown MD (2006) A correlation of FTIR spectra derived from prostate cancer biopsies with Gleason grade and tumour stage. Eur Urol 50:750–761

Article  PubMed  Google Scholar 

Liu Y, Xu Y, Liu Y, Zhang Y, Wang D, Xiu D, Xu Z, Zhou X, Wu J, Ling X (2011) Detection of cervical metastatic lymph nodes in papillary thyroid carcinoma by Fourier transform infrared spectroscopy. Brit J Surg 98:380–384

Article  CAS  PubMed  Google Scholar 

Gajjar K, Trevisan J, Owens G, Keating PJ, Wood NJ, Stringfellow HF, MartinHirsch PL, Martin FL (2013) Fourier-transform infrared spectroscopy coupled with a classification machine for the analysis of blood plasma or serum: a novel diagnostic approach for ovarian cancer. Analyst 138:3917–3926

Article  CAS  PubMed  Google Scholar 

Ollesch J, Heinze M, Heisse HM, Behrens T, Brüning T, Gerwert K (2014) It’s in your blood: spectral biomarker candidates for urinary bladder cancer from automated FTIR spectroscopy. J Biophotonics 7:216–221

Article  Google Scholar 

Zhang XQ, Xu Z, Ling XF, Xu YZ, Wu JG (2010) The application of fourier transform infrared technology in biomedical sphere. Spectrosc Spect Anal 30:30–34

Google Scholar 

Trevisan J, Angelov PP, Carmichael PL, Scott AD, Martin FL (2012) Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives. Analyst 137:3202–3215

Article  CAS  PubMed  Google Scholar 

Kelly JG, Singh MN, Stringfellow HF, Walsh MJ, Nicholson JM, Bahrami F, Ashton KM, Pitt MA, MartinHirsch PL, Martin FL (2009) Derivation of a subtype-specific biochemical signature of endometrial carcinoma using synchrotron-based Fourier-transform infrared microspectroscopy. Cancer Lett 274:208–217

Article  CAS  PubMed  Google Scholar 

Caetano Júnior PC, Strixino JF, Raniero L (2015) Analysis of saliva by Fourier transform infrared spectroscopy for diagnosis of physiological stress in athletes. Res Biomed Eng 31:116–124

Article  Google Scholar 

Rodrigues LM, Magrini TD, Lima CF, Scholz J, da Silva Martinho H, Almeida JD (2017) Effect of smoking cessation in saliva compounds by FTIR spectroscopy. Spectrochim Acta A Mol Biomol Spectrosc 174:124–129

Article  CAS  PubMed  Google Scholar 

Bandhakavi S et al (2009) A dynamic range compression and three-dimensional peptide fractionation analysis platform expands proteome coverage and the diagnostic potential of whole saliva. J Proteome Res 8(12):5590–5600

Article  CAS  PubMed  PubMed Central  Google Scholar 

Movasaghi Z, Rehman S, urRehman DI (2008) Fourier transform infrared (FTIR) spectroscopy of biological tissues. Appl Spectrosc Rev 43(2):134–179. https://doi.org/10.1080/05704920701829043

Article  CAS  Google Scholar 

Stuart BH (2005) Biological applications. In: Infrared spectroscopy: fundamentals and applications: John Wiley & Sons Ltd, pp 137–165. ISBN: 9780470011140

Google Scholar 

Orphanou CM (2015) The detection and discrimination of human body fluids using ATR FT-IR spectroscopy. Forensic Sci Int 252:e10–e16. https://doi.org/10.1016/j.forsciint.2015.04.020

Article  CAS  PubMed  Google Scholar 

Bellisola G, Sorio C (2012) Infrared spectroscopy and microscopy in cancer research and diagnosis. Am J Cancer Res 2(1):1

CAS  PubMed  Google Scholar 

Wu J-G, Xu Y-Z, Sun C-W, Soloway RD, Xu D-F, Wu Q-G, Sun K-H, Weng S-F, Xu G-X (2001) Distinguishing malignant from normal oral tissues using FTIR fiber-optic techniques. Biopolymers 62:185–192

Article  CAS  PubMed  Google Scholar 

Shaikh S, Yadav DK, Rawal R (2021) Saliva based non invasive screening of Oral Submucous Fibrosis using ATR-FTIR spectroscopy. J Pharma Biomed Anal 203:114202

Article  CAS  Google Scholar 

Zlotogorski-Hurvitz A, Dekel BZ, Malonek D, Yahalom R, Vered M (2019) FTIR-based spectrum of salivary exosomes coupled with computational-aided discriminating analysis in the diagnosis of oral cancer. J Cancer Res Clin Oncol 145:685–694

Article  CAS  PubMed  Google Scholar 

Banerjee S, Pal M, Chakrabarty J, Petibois C, Paul RR, Giri A, Chatterjee J (2015) Fourier-transform-infrared-spectroscopy based spectral-biomarker selection towards optimum diagnostic differentiation of oral leukoplakia and cancer. Anal Bioanal Chem 407:7935–7943

Article  CAS  PubMed  Google Scholar 

Rai V et al (2018) Serum-based diagnostic prediction of oral submucous fibrosis using FTIR spectrometry. Spectrochim Acta Part A Mol Biomol Spectrosc 189:322–329

Article  CAS  Google Scholar 

留言 (0)

沒有登入
gif