Vibrational spectroscopy - are we close to finding a solution for early pancreatic cancer diagnosis?

doi:10.3748/wjg.v29.i1.96

Vibrational spectroscopy - are we close to finding a solution for early pancreatic cancer diagnosis?

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Vibrational spectroscopy - are we close to finding a solution for early pancreatic cancer diagnosis?

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punktacja MEiN [2023]: 100

title:	Vibrational spectroscopy - are we close to finding a solution for early pancreatic cancer diagnosis?
author:	Szymoński Krzysztof , Chmura Łukasz , Lipiec Ewelina , Adamek Dariusz
journal title:	World Journal of Gastroenterology
volume:	29
issue:	1
date of publication :	2023
pages:	96-109
ISSN:	1007-9327
eISSN:	2219-2840
DOI:	10.3748/wjg.v29.i1.96
URL:	https://www.wjgnet.com/1007-9327/full/v29/i1/96.htm
date accessed:	2023-02-14
language:	English
journal language:	English
abstract in English:	Pancreatic cancer (PC) is an aggressive and lethal neoplasm, ranking seventh in the world for cancer deaths, with an overall 5-year survival rate of below 10%. The knowledge about PC pathogenesis is rapidly expanding. New aspects of tumor biology, including its molecular and morphological heterogeneity, have been reported to explain the complicated "cross-talk" that occurs between the cancer cells and the tumor stroma or the nature of pancreatic ductal adenocarcinoma-associated neural remodeling. Nevertheless, currently, there are no specific and sensitive diagnosis options for PC. Vibrational spectroscopy (VS) shows a promising role in the development of early diagnosis technology. In this review, we summarize recent reports about improvements in spectroscopic methodologies, briefly explain and highlight the drawbacks of each of them, and discuss available solutions. The important aspects of spectroscopic data evaluation with multivariate analysis and a convolutional neural network methodology are depicted. We conclude by presenting a study design for systemic verification of the VS-based methods in the diagnosis of PC.
keywords in English:	spectroscopic cancer diagnosis, raman spectroscopy, pancreatic cancer diagnosis, DNA methylation, liquid biopsy biomarkers, convolutional neural networks
affiliation:	Wydział Lekarski : Zakład Neuropatologii, Wydział Lekarski : Zakład Patomorfologii Klinicznej i Doświadczalnej, Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Fizyki im. Mariana Smoluchowskiego
type:	journal article
subtype:	review article