前列腺癌组织FTIR标志物及其与肿瘤侵袭性医学参数的相关性

IF 2.3
Przemysław Mitura, Wiesław Paja, Bartosz Klebowski, Lech Wronecki, Michał Godzisz, Damian Sudoł, Krzysztof Bar, Joanna Depciuch
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引用次数: 0

摘要

傅立叶变换红外光谱(FTIR)用于研究前列腺癌引起的前列腺组织的化学差异,并将这些数据与医学相关。在前列腺组织的FTIR光谱中,与对照前列腺组织的FTIR光谱相比,检测到来自磷脂、酰胺和脂质振动的峰的数量更高。主成分分析(PCA)表明,利用FTIR范围可以区分两种类型的组织,分别是(i)磷脂和酰胺类和(ii)脂类。机器学习方法表明,指纹范围的曲线下面积(AUC)、准确率、F1、精度和召回率均高于第二种指纹范围。但在两个分析范围内,这些参数的值均大于0.95。此外,本文提出的前列腺癌FTIR标记物(波数为1685 cm-1)与bGleason、pGleason和ISUP相关,说明FTIR光谱可以反映前列腺癌的医学特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FTIR Markers of Prostate Cancer Tissue and Their Correlation With Medical Parameters of Tumor Aggressiveness.

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.

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