Literature DB >> 15230879

Possible common biomarkers from FTIR microspectroscopy of cervical cancer and melanoma.

S Mordechai1, R K Sahu, Z Hammody, S Mark, K Kantarovich, H Guterman, A Podshyvalov, J Goldstein, S Argov.   

Abstract

Detection of malignancy at early stages is crucial in cancer prevention and management. Fourier transform infrared (FTIR) spectroscopy has shown promise as a non-invasive method with diagnostic potential in cancer detection. Studies were conducted with formalin-fixed biopsies of melanoma and cervical cancer by FTIR microspectroscopy (FTIR-MSP) to detect common biomarkers, which occurred in both types of cancer distinguishing them from the respective non-malignant tissues. Both types of cancer are diagnosed on skin surfaces. The spectra were analysed for changes in levels of biomolecules such as RNA, DNA, phosphates and carbohydrate (glycogen). Whereas carbohydrate levels showed a good diagnostic potential for detection of cervical cancer, this was not the case for melanoma. However, variation of the RNA/DNA ratio as measured at I(1121)/I(1020) showed similar trends between non-malignant and malignant tissues in both types of cancer. The ratio was higher for malignant tissues in both types of cancer.

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Year:  2004        PMID: 15230879     DOI: 10.1111/j.0022-2720.2004.01356.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  15 in total

1.  Infrared spectroscopy with multivariate analysis potentially facilitates the segregation of different types of prostate cell.

Authors:  Matthew J German; Azzedine Hammiche; Narasimhan Ragavan; Mark J Tobin; Leanne J Cooper; Shyam S Matanhelia; Andrew C Hindley; Caroline M Nicholson; Nigel J Fullwood; Hubert M Pollock; Francis L Martin
Journal:  Biophys J       Date:  2006-02-24       Impact factor: 4.033

2.  Using Novel Method to Detect Different Cancer-Cell Stages of Model Human Lung Carcinoma.

Authors:  Hao-Yuan Cheng; Fu-Hsiang Ko; Lee-Jene Lai
Journal:  J Clin Lab Anal       Date:  2014-07-10       Impact factor: 2.352

3.  Fourier transform infrared microspectroscopy as a diagnostic tool for distinguishing between normal and malignant human gastric tissue.

Authors:  Abasalt Hosseinzadeh Colagar; Mohammad Javad Chaichi; Tahereh Khadjvand
Journal:  J Biosci       Date:  2011-09       Impact factor: 1.826

4.  Application of metasurface-enhanced infra-red spectroscopy to distinguish between normal and cancerous cell types.

Authors:  G Kelp; N Arju; A Lee; E Esquivel; R Delgado; Y Yu; S Dutta-Gupta; K Sokolov; G Shvets
Journal:  Analyst       Date:  2019-01-31       Impact factor: 4.616

5.  Antineoplastic and immunomodulatory effect of polyphenolic components of Achyranthes aspera (PCA) extract on urethane induced lung cancer in vivo.

Authors:  Chandradeo Narayan; Arvind Kumar
Journal:  Mol Biol Rep       Date:  2013-11-05       Impact factor: 2.316

6.  Changes in the infrared microspectroscopic characteristics of DNA caused by cationic elements, different base richness and single-stranded form.

Authors:  Maria Luiza S Mello; B C Vidal
Journal:  PLoS One       Date:  2012-08-24       Impact factor: 3.240

Review 7.  Advances in the in Vivo Raman Spectroscopy of Malignant Skin Tumors Using Portable Instrumentation.

Authors:  Nikolaos Kourkoumelis; Ioannis Balatsoukas; Violetta Moulia; Aspasia Elka; Georgios Gaitanis; Ioannis D Bassukas
Journal:  Int J Mol Sci       Date:  2015-06-26       Impact factor: 5.923

8.  Infrared spectroscopy characterization of normal and lung cancer cells originated from epithelium.

Authors:  So Yeong Lee; Kyong Ah Yoon; Soo Hwa Jang; Erdene Ochir Ganbold; Dembereldorj Uuriintuya; Sang Mo Shin; Pan Dong Ryu; Sang Woo Joo
Journal:  J Vet Sci       Date:  2009-12       Impact factor: 1.672

9.  A method for accurate in vivo micro-Raman spectroscopic measurements under guidance of advanced microscopy imaging.

Authors:  Hequn Wang; Anthony M D Lee; Harvey Lui; David I McLean; Haishan Zeng
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

10.  A hybrid sensing approach for pure and adulterated honey classification.

Authors:  Norazian Subari; Junita Mohamad Saleh; Ali Yeon Md Shakaff; Ammar Zakaria
Journal:  Sensors (Basel)       Date:  2012-10-17       Impact factor: 3.576

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