Przemysław Mitura, Wiesław Paja, Bartosz Klebowski, Lech Wronecki, Michał Godzisz, Damian Sudoł, Krzysztof Bar, Joanna Depciuch
{"title":"FTIR Markers of Prostate Cancer Tissue and Their Correlation With Medical Parameters of Tumor Aggressiveness","authors":"Przemysław Mitura, Wiesław Paja, Bartosz Klebowski, Lech Wronecki, Michał Godzisz, Damian Sudoł, Krzysztof Bar, Joanna Depciuch","doi":"10.1002/jbio.70046","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Fourier transform infrared spectroscopy (FTIR) was used to investigate chemical differences in prostate tissue caused by prostate cancer and to correlate these data with medical. In FTIR spectra of prostate tissues, a higher amount of peaks originating from phospholipids, amide, and lipid vibrations was detected in comparison with FTIR spectra of control prostate tissues. Principal Component Analysis (PCA) showed that it is possible to differentiate two types of tissues using FTIR range corresponding to (i) phospholipids and amides and (ii) lipids. Machine learning methods showed that values of area under the curve (AUC), accuracy, F1, precision, and recall were higher for the fingerprint range than for the second one. However, values of all these parameters in both analyzed ranges were higher than 0.95. Moreover, the proposed FTIR marker of prostate cancer (wavenumber at 1685 cm<sup>−1</sup>) correlated with bGleason, pGleason, and ISUP, which suggested that FTIR spectroscopy reflected the medical characterization of prostate cancer.</p>\n </div>","PeriodicalId":184,"journal":{"name":"Journal of Biophotonics","volume":"18 9","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biophotonics","FirstCategoryId":"101","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jbio.70046","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Fourier transform infrared spectroscopy (FTIR) was used to investigate chemical differences in prostate tissue caused by prostate cancer and to correlate these data with medical. In FTIR spectra of prostate tissues, a higher amount of peaks originating from phospholipids, amide, and lipid vibrations was detected in comparison with FTIR spectra of control prostate tissues. Principal Component Analysis (PCA) showed that it is possible to differentiate two types of tissues using FTIR range corresponding to (i) phospholipids and amides and (ii) lipids. Machine learning methods showed that values of area under the curve (AUC), accuracy, F1, precision, and recall were higher for the fingerprint range than for the second one. However, values of all these parameters in both analyzed ranges were higher than 0.95. Moreover, the proposed FTIR marker of prostate cancer (wavenumber at 1685 cm−1) correlated with bGleason, pGleason, and ISUP, which suggested that FTIR spectroscopy reflected the medical characterization of prostate cancer.
期刊介绍:
The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.