Literature DB >> 26903561

Application of Raman Spectroscopy and Infrared Spectroscopy in the Identification of Breast Cancer.

Joanna Depciuch1, Ewa Kaznowska2, Izabela Zawlik3, Renata Wojnarowska4, Marian Cholewa5, Philip Heraud6, Józef Cebulski5.   

Abstract

Raman spectroscopy and infrared (IR) spectroscopy are both techniques that allow for the investigation of vibrating chemical particles. These techniques provide information not only about chemical particles through the identification of functional groups and spectral analysis of so-called "fingerprints", these methods allow for the qualitative and quantitative analyses of chemical substances in the sample. Both of these spectral techniques are frequently being used in biology and medicine in diagnosing illnesses and monitoring methods of therapy. The type of breast cancer found in woman is often a malignant tumor, causing 1.38 million new cases of breast cancer and 458 000 deaths in the world in 2013. The most important risk factors for breast cancer development are: sex, age, family history, specific benign breast conditions in the breast, ionizing radiation, and lifestyle. The main purpose of breast cancer screening tests is to establish early diagnostics and to apply proper treatment. Diagnoses of breast cancer are based on: (1) physical techniques (e.g., ultrasonography, mammography, elastography, magnetic resonance, positron emission tomography [PET]); (2) histopathological techniques; (3) biological techniques; and (4) optical techniques (e.g., photo acoustic imaging, fluorescence tomography). However, none of these techniques provides unique or especially revealing answers. The aim of our study is comparative spectroscopic measurements on patients with the following: normal non-cancerous breast tissue; breast cancer tissues before chemotherapy; breast cancer tissues after chemotherapy; and normal breast tissues received around the cancerous breast region. Spectra collected from breast cancer patients shows changes in amounts of carotenoids and fats. We also observed changes in carbohydrate and protein levels (e.g., lack of amino acids, changes in the concentration of amino acids, structural changes) in comparison with normal breast tissues. This fact verifies that Raman spectroscopy and IR spectroscopy are very useful diagnostic tools that will shed new light in understanding the etiology of breast cancer.
© The Author(s) 2016.

Entities:  

Keywords:  Breast cancer; Chemotherapy; Fourier Transform infrared spectroscopy; Raman spectroscopy

Mesh:

Year:  2016        PMID: 26903561     DOI: 10.1177/0003702815620127

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  21 in total

1.  Comparison of Raman and attenuated total reflectance (ATR) infrared spectroscopy for water quantification in natural deep eutectic solvent.

Authors:  Suha Elderderi; Laura Wils; Charlotte Leman-Loubière; Sandra Henry; Hugh J Byrne; Igor Chourpa; Emilie Munnier; Abdalla A Elbashir; Leslie Boudesocque-Delaye; Franck Bonnier
Journal:  Anal Bioanal Chem       Date:  2021-06-01       Impact factor: 4.142

2.  FPA-FTIR Microspectroscopy for Monitoring Chemotherapy Efficacy in Triple-Negative Breast Cancer.

Authors:  Izabela Zawlik; Ewa Kaznowska; Jozef Cebulski; Magdalena Kolodziej; Joanna Depciuch; Jitraporn Vongsvivut; Marian Cholewa
Journal:  Sci Rep       Date:  2016-11-18       Impact factor: 4.379

3.  Different Phases of Breast Cancer Cells: Raman Study of Immortalized, Transformed, and Invasive Cells.

Authors:  Deepika Chaturvedi; Sai A Balaji; Vinay Kumar Bn; Freek Ariese; Siva Umapathy; Annapoorni Rangarajan
Journal:  Biosensors (Basel)       Date:  2016-11-28

4.  Analysis of morphological and molecular composition changes in allergenic Artemisia vulgaris L. pollen under traffic pollution using SEM and FTIR spectroscopy.

Authors:  J Depciuch; I Kasprzyk; E Roga; M Parlinska-Wojtan
Journal:  Environ Sci Pollut Res Int       Date:  2016-09-07       Impact factor: 4.223

5.  Nonlinear infrared spectroscopy free from spectral selection.

Authors:  Anna Paterova; Shaun Lung; Dmitry A Kalashnikov; Leonid A Krivitsky
Journal:  Sci Rep       Date:  2017-02-20       Impact factor: 4.379

6.  Prediction of Ewing Sarcoma treatment outcome using attenuated tissue reflection FTIR tissue spectroscopy.

Authors:  Radosław Chaber; Kornelia Łach; Christopher J Arthur; Anna Raciborska; Elżbieta Michalak; Krzysztof Ciebiera; Katarzyna Bilska; Katarzyna Drabko; Józef Cebulski
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

7.  Breast Tumor Analysis Using Shifted-Excitation Raman Difference Spectroscopy (SERDS).

Authors:  Medhanie Tesfay Gebrekidan; Ramona Erber; Arndt Hartmann; Peter A Fasching; Julius Emons; Mathias W Beckmann; Andreas Braeuer
Journal:  Technol Cancer Res Treat       Date:  2018-01-01

8.  The Spectroscopic Similarity between Breast Cancer Tissues and Lymph Nodes Obtained from Patients with and without Recurrence: A Preliminary Study.

Authors:  Joanna Depciuch; Agata Stanek-Widera; Nadia Khinevich; Hanna V Bandarenka; Michal Kandler; Vadim Bayev; Julia Fedotova; Dariusz Lange; Jadwiga Stanek-Tarkowska; Jozef Cebulski
Journal:  Molecules       Date:  2020-07-21       Impact factor: 4.411

Review 9.  The Use of Spectroscopy Handheld Tools in Brain Tumor Surgery: Current Evidence and Techniques.

Authors:  Nikita Lakomkin; Constantinos G Hadjipanayis
Journal:  Front Surg       Date:  2019-05-29

10.  Discrimination of breast cancer from benign tumours using Raman spectroscopy.

Authors:  Fiona M Lyng; Damien Traynor; Thi Nguyet Que Nguyen; Aidan D Meade; Fazle Rakib; Rafif Al-Saady; Erik Goormaghtigh; Khalid Al-Saad; Mohamed H Ali
Journal:  PLoS One       Date:  2019-02-14       Impact factor: 3.240

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