Literature DB >> 33530491

Fourier Transform Infrared Spectroscopy in Oral Cancer Diagnosis.

Rong Wang1, Yong Wang1.   

Abstract

Oral cancer is one of the most common cancers worldwide. Despite easy access to the oral cavity and significant advances in treatment, the morbidity and mortality rates for oral cancer patients are still very high, mainly due to late-stage diagnosis when treatment is less successful. Oral cancer has also been found to be the most expensive cancer to treat in the United States. Early diagnosis of oral cancer can significantly improve patient survival rate and reduce medical costs. There is an urgent unmet need for an accurate and sensitive molecular-based diagnostic tool for early oral cancer detection. Fourier transform infrared spectroscopy has gained increasing attention in cancer research due to its ability to elucidate qualitative and quantitative information of biochemical content and molecular-level structural changes in complex biological systems. The diagnosis of a disease is based on biochemical changes underlying the disease pathology rather than morphological changes of the tissue. It is a versatile method that can work with tissues, cells, or body fluids. In this review article, we aim to summarize the studies of infrared spectroscopy in oral cancer research and detection. It provides early evidence to support the potential application of infrared spectroscopy as a diagnostic tool for oral potentially malignant and malignant lesions. The challenges and opportunities in clinical translation are also discussed.

Entities:  

Keywords:  FTIR; Fourier transform infrared spectroscopy; infrared imaging; machine learning; multivariate analysis; oral cancer diagnosis; oral dysplasia; oral squamous cell carcinoma; spectral biomarkers; spectral cytopathology

Mesh:

Substances:

Year:  2021        PMID: 33530491      PMCID: PMC7865696          DOI: 10.3390/ijms22031206

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  113 in total

Review 1.  Applications of ATR-FTIR spectroscopic imaging to biomedical samples.

Authors:  S G Kazarian; K L A Chan
Journal:  Biochim Biophys Acta       Date:  2006-03-09

2.  Infrared spectroscopy and microscopy in cancer research and diagnosis.

Authors:  Giuseppe Bellisola; Claudio Sorio
Journal:  Am J Cancer Res       Date:  2011-11-22       Impact factor: 6.166

Review 3.  Staging and grading of oral squamous cell carcinoma: An update.

Authors:  Alhadi Almangush; Antti A Mäkitie; Asterios Triantafyllou; Remco de Bree; Primož Strojan; Alessandra Rinaldo; Juan C Hernandez-Prera; Carlos Suárez; Luiz P Kowalski; Alfio Ferlito; Ilmo Leivo
Journal:  Oral Oncol       Date:  2020-05-20       Impact factor: 5.337

4.  Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks.

Authors:  Sebastian Berisha; Mahsa Lotfollahi; Jahandar Jahanipour; Ilker Gurcan; Michael Walsh; Rohit Bhargava; Hien Van Nguyen; David Mayerich
Journal:  Analyst       Date:  2019-02-25       Impact factor: 4.616

5.  A comparative profiling of oral cancer patients and high risk niswar users using FT-IR and chemometric analysis.

Authors:  Amna Jabbar Siddiqui; Syed Tufail Hussain Sherazi; Shakil Ahmed; M Iqbal Choudhary; Syed Ghulam Musharraf
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2018-05-28       Impact factor: 4.098

6.  Oral epithelial dysplasia classification systems: predictive value, utility, weaknesses and scope for improvement.

Authors:  S Warnakulasuriya; J Reibel; J Bouquot; E Dabelsteen
Journal:  J Oral Pathol Med       Date:  2008-03       Impact factor: 4.253

7.  Brain tumour differentiation: rapid stratified serum diagnostics via attenuated total reflection Fourier-transform infrared spectroscopy.

Authors:  James R Hands; Graeme Clemens; Ryan Stables; Katherine Ashton; Andrew Brodbelt; Charles Davis; Timothy P Dawson; Michael D Jenkinson; Robert W Lea; Carol Walker; Matthew J Baker
Journal:  J Neurooncol       Date:  2016-02-13       Impact factor: 4.130

8.  3D chemical imaging of the brain using quantitative IR spectro-microscopy.

Authors:  Abiodun Ogunleke; Benoit Recur; Hugo Balacey; Hsiang-Hsin Chen; Maylis Delugin; Yeukuang Hwu; Sophie Javerzat; Cyril Petibois
Journal:  Chem Sci       Date:  2017-10-17       Impact factor: 9.825

9.  Raman Spectroscopy Analysis for Optical Diagnosis of Oral Cancer Detection.

Authors:  Ming-Jer Jeng; Mukta Sharma; Lokesh Sharma; Ting-Yu Chao; Shiang-Fu Huang; Liann-Be Chang; Shih-Lin Wu; Lee Chow
Journal:  J Clin Med       Date:  2019-08-27       Impact factor: 4.241

10.  Tracking Extracellular Matrix Remodeling in Lungs Induced by Breast Cancer Metastasis. Fourier Transform Infrared Spectroscopic Studies.

Authors:  Karolina Chrabaszcz; Katarzyna Kaminska; Karolina Augustyniak; Monika Kujdowicz; Marta Smeda; Agnieszka Jasztal; Marta Stojak; Katarzyna M Marzec; Kamilla Malek
Journal:  Molecules       Date:  2020-01-06       Impact factor: 4.411

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  3 in total

Review 1.  Recent advances in optical label-free characterization of extracellular vesicles.

Authors:  Meruyert Imanbekova; Sorina Suarasan; Yao Lu; Sarah Jurchuk; Sebastian Wachsmann-Hogiu
Journal:  Nanophotonics       Date:  2022-04-13       Impact factor: 7.923

2.  Probing the Anti-Cancer Potency of Sulfated Galactans on Cholangiocarcinoma Cells Using Synchrotron FTIR Microspectroscopy, Molecular Docking, and In Vitro Studies.

Authors:  Boonyakorn Boonsri; Kiattawee Choowongkomon; Buabarn Kuaprasert; Thanvarin Thitiphatphuvanon; Kittiya Supradit; Apinya Sayinta; Jinchutha Duangdara; Tawut Rudtanatip; Kanokpan Wongprasert
Journal:  Mar Drugs       Date:  2021-04-30       Impact factor: 5.118

3.  FT-IR Spectral Signature of Sensitive and Multidrug-Resistant Osteosarcoma Cell-Derived Extracellular Nanovesicles.

Authors:  Francesca Perut; Gabriela Graziani; Laura Roncuzzi; Nicoletta Zini; Sofia Avnet; Nicola Baldini
Journal:  Cells       Date:  2022-02-23       Impact factor: 6.600

  3 in total

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