FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma
Bladder urothelial carcinoma (BC) is a common, recurrent, life-threatening, and unpredictable disease which is difficult to diagnose. These features make it one of the costliest malignancies. Although many possible diagnostic methods are available, molecular heterogeneity and difficulties in cytolog...
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2021
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oai:doaj.org-article:41d5efa9b89a407c8d0417ca98efe1a92021-11-25T17:03:23ZFTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma10.3390/cancers132257342072-6694https://doaj.org/article/41d5efa9b89a407c8d0417ca98efe1a92021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5734https://doaj.org/toc/2072-6694Bladder urothelial carcinoma (BC) is a common, recurrent, life-threatening, and unpredictable disease which is difficult to diagnose. These features make it one of the costliest malignancies. Although many possible diagnostic methods are available, molecular heterogeneity and difficulties in cytological or histological examination induce an urgent need to improve diagnostic techniques. Herein, we applied Fourier transform infrared spectroscopy in imaging mode (FTIR) to investigate patients’ cytology samples assigned to normal (N), low-grade (LG) and high-grade (HG) BC. With unsupervised hierarchical cluster analysis (UHCA) and hematoxylin-eosin (HE) staining, we observed a correlation between N cell types and morphology. High-glycogen superficial (umbrella) and low-glycogen piriform urothelial cells, both with normal morphology, were observed. Based on the spectra derived from UHCA, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were performed, indicating a variation of protein content between the patient groups. Moreover, BC spectral cytology identified a low number of high-glycogen cells for which a shift of the carbohydrate/phosphate bands was also observed. Despite high cellular heterogeneity, PLS-DA was able to classify the spectra obtained. The voided urine FTIR cytology is one of the options that might be helpful in BC diagnosis, as high sensitivity and specificity up to 97% were determined.Monika KujdowiczBrygida MechKarolina ChrabaszczPiotr ChlostaKrzysztof OkonKamilla MalekMDPI AGarticlebladder carcinomainfrared spectroscopic imagingdiagnosticscytologyNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5734, p 5734 (2021) |
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bladder carcinoma infrared spectroscopic imaging diagnostics cytology Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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bladder carcinoma infrared spectroscopic imaging diagnostics cytology Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Monika Kujdowicz Brygida Mech Karolina Chrabaszcz Piotr Chlosta Krzysztof Okon Kamilla Malek FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma |
description |
Bladder urothelial carcinoma (BC) is a common, recurrent, life-threatening, and unpredictable disease which is difficult to diagnose. These features make it one of the costliest malignancies. Although many possible diagnostic methods are available, molecular heterogeneity and difficulties in cytological or histological examination induce an urgent need to improve diagnostic techniques. Herein, we applied Fourier transform infrared spectroscopy in imaging mode (FTIR) to investigate patients’ cytology samples assigned to normal (N), low-grade (LG) and high-grade (HG) BC. With unsupervised hierarchical cluster analysis (UHCA) and hematoxylin-eosin (HE) staining, we observed a correlation between N cell types and morphology. High-glycogen superficial (umbrella) and low-glycogen piriform urothelial cells, both with normal morphology, were observed. Based on the spectra derived from UHCA, principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were performed, indicating a variation of protein content between the patient groups. Moreover, BC spectral cytology identified a low number of high-glycogen cells for which a shift of the carbohydrate/phosphate bands was also observed. Despite high cellular heterogeneity, PLS-DA was able to classify the spectra obtained. The voided urine FTIR cytology is one of the options that might be helpful in BC diagnosis, as high sensitivity and specificity up to 97% were determined. |
format |
article |
author |
Monika Kujdowicz Brygida Mech Karolina Chrabaszcz Piotr Chlosta Krzysztof Okon Kamilla Malek |
author_facet |
Monika Kujdowicz Brygida Mech Karolina Chrabaszcz Piotr Chlosta Krzysztof Okon Kamilla Malek |
author_sort |
Monika Kujdowicz |
title |
FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma |
title_short |
FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma |
title_full |
FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma |
title_fullStr |
FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma |
title_full_unstemmed |
FTIR Spectroscopic Imaging Supports Urine Cytology for Classification of Low- and High-Grade Bladder Carcinoma |
title_sort |
ftir spectroscopic imaging supports urine cytology for classification of low- and high-grade bladder carcinoma |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/41d5efa9b89a407c8d0417ca98efe1a9 |
work_keys_str_mv |
AT monikakujdowicz ftirspectroscopicimagingsupportsurinecytologyforclassificationoflowandhighgradebladdercarcinoma AT brygidamech ftirspectroscopicimagingsupportsurinecytologyforclassificationoflowandhighgradebladdercarcinoma AT karolinachrabaszcz ftirspectroscopicimagingsupportsurinecytologyforclassificationoflowandhighgradebladdercarcinoma AT piotrchlosta ftirspectroscopicimagingsupportsurinecytologyforclassificationoflowandhighgradebladdercarcinoma AT krzysztofokon ftirspectroscopicimagingsupportsurinecytologyforclassificationoflowandhighgradebladdercarcinoma AT kamillamalek ftirspectroscopicimagingsupportsurinecytologyforclassificationoflowandhighgradebladdercarcinoma |
_version_ |
1718412771159179264 |