Literature DB >> 31075613

Raman spectroscopy and chemometrics: A potential universal method for diagnosing cancer.

Nicole M Ralbovsky1, Igor K Lednev2.   

Abstract

Cancer is the second-leading cause of death worldwide. It affects an unfathomable number of people, with almost 16 million Americans currently living with it. While many cancers can be detected, current diagnostic efforts exhibit definite room for improvement. It is imperative that a person be diagnosed with cancer as early on in its progression as possible. An earlier diagnosis allows for the best treatment and intervention options available to be presented. Unfortunately, existing methods for diagnosing cancer can be expensive, invasive, inconclusive or inaccurate, and are not always made during initial stages of the disease. As such, there is a crucial unmet need to develop a singular universal method that is reliable, cost-effective, and non-invasive and can diagnose all forms of cancer early-on. Raman spectroscopy in combination with advanced statistical analysis is offered here as a potential solution for this need. This review covers recently published research in which Raman spectroscopy was used for the purpose of diagnosing cancer. The benefits and the risks of the methodology are presented; however, there is overwhelming evidence that suggests Raman spectroscopy is highly suitable for becoming the first universal method to be used for diagnosing cancer.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Advanced statistical analysis; Cancer; Chemometrics; Disease diagnostics; Raman spectroscopy

Mesh:

Year:  2019        PMID: 31075613     DOI: 10.1016/j.saa.2019.04.067

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  6 in total

1.  Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers.

Authors:  Jelle Penders; Anika Nagelkerke; Eoghan M Cunnane; Simon V Pedersen; Isaac J Pence; R Charles Coombes; Molly M Stevens
Journal:  ACS Nano       Date:  2021-11-04       Impact factor: 18.027

Review 2.  Multimodal Imaging Mass Spectrometry: Next Generation Molecular Mapping in Biology and Medicine.

Authors:  Elizabeth K Neumann; Katerina V Djambazova; Richard M Caprioli; Jeffrey M Spraggins
Journal:  J Am Soc Mass Spectrom       Date:  2020-09-04       Impact factor: 3.262

3.  Synergy Effect of Combined Near and Mid-Infrared Fibre Spectroscopy for Diagnostics of Abdominal Cancer.

Authors:  Thaddäus Hocotz; Olga Bibikova; Valeria Belikova; Andrey Bogomolov; Iskander Usenov; Lukasz Pieszczek; Tatiana Sakharova; Olaf Minet; Elena Feliksberger; Viacheslav Artyushenko; Beate Rau; Urszula Zabarylo
Journal:  Sensors (Basel)       Date:  2020-11-23       Impact factor: 3.576

4.  A Novel Method for Detecting Duchenne Muscular Dystrophy in Blood Serum of mdx Mice.

Authors:  Nicole M Ralbovsky; Paromita Dey; Andrew Galfano; Bijan K Dey; Igor K Lednev
Journal:  Genes (Basel)       Date:  2022-07-27       Impact factor: 4.141

5.  Comparison of functional and discrete data analysis regimes for Raman spectra.

Authors:  Rola Houhou; Petra Rösch; Jürgen Popp; Thomas Bocklitz
Journal:  Anal Bioanal Chem       Date:  2021-05-15       Impact factor: 4.142

6.  Tracking of the biochemical changes upon pleomorphic adenoma progression using vibrational microspectroscopy.

Authors:  Czesława Paluszkiewicz; Maciej Roman; Natalia Piergies; Ewa Pięta; Monika Woźniak; Mariangela Cestelli Guidi; Katarzyna Miśkiewicz-Orczyk; Magdalena Marków; Wojciech Ścierski; Maciej Misiołek; Bogna Drozdzowska; Wojciech M Kwiatek
Journal:  Sci Rep       Date:  2021-09-09       Impact factor: 4.379

  6 in total

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