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鳞状细胞肺癌、肺腺癌和结肠癌患者肺泡空气中挥发性化合物的判别特征。

Discriminant Profiles of Volatile Compounds in the Alveolar Air of Patients with Squamous Cell Lung Cancer, Lung Adenocarcinoma or Colon Cancer.

机构信息

Department of Clinical and Experimental Medicine, Careggi University Hospital, IT-50134 Florence, Italy.

Institute for Maternal and Child Health-IRCCS Burlo Garofolo, IT-34137 Trieste, Italy.

出版信息

Molecules. 2021 Jan 21;26(3):550. doi: 10.3390/molecules26030550.

DOI:10.3390/molecules26030550
PMID:33494458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7866040/
Abstract

The objective of the present work was to analyze volatile compounds in alveolar air in patients with squamous cell lung cancer, lung adenocarcinoma or colon cancer, to prepare algorithms able to discriminate such specific pathological conditions. The concentration of 95 volatile com-pounds was measured in the alveolar air of 45 control subjects, 36 patients with lung adenocarci-noma, 25 patients with squamous cell lung cancer and 52 patients with colon cancer. Volatile compounds were measured with ion molecule reaction mass spectrometry (IMR-MS). An iterat-ed least absolute shrinkage and selection operator multivariate logistic regression model was used to generate specific algorithms and discriminate control subjects from patients with differ-ent kinds of cancer. The final predictive models reached the following performance: by using 11 compounds, patients with lung adenocarcinoma were identified with a sensitivity of 86% and specificity of 84%; nine compounds allowed us to identify patients with lung squamous cell car-cinoma with a sensitivity of 88% and specificity of 84%; patients with colon adenocarcinoma could be identified with a sensitivity of 96% and a specificity of 73% using a model comprising 13 volatile compounds. The different alveolar profiles of volatile compounds, obtained from pa-tients with three different kinds of cancer, suggest dissimilar biological-biochemistry condi-tions; each kind of cancer has probably got a specific alveolar profile.

摘要

本研究旨在分析肺鳞癌、肺腺癌和结肠癌患者肺泡气中的挥发性化合物,以制定能够区分这些特定病理状态的算法。我们测量了 45 名对照、36 名肺腺癌、25 名肺鳞癌和 52 名结肠癌患者肺泡气中 95 种挥发性化合物的浓度。采用离子分子反应质谱(IMR-MS)测量挥发性化合物。使用迭代最小绝对收缩和选择算子多变量逻辑回归模型生成特定算法,并区分不同癌症类型的患者。最终预测模型达到了以下性能:使用 11 种化合物,肺腺癌患者的敏感性为 86%,特异性为 84%;9 种化合物可使肺鳞癌患者的敏感性为 88%,特异性为 84%;使用包含 13 种挥发性化合物的模型,可以识别出 96%的结肠癌患者,特异性为 73%。来自三种不同癌症患者的不同肺泡挥发性化合物谱表明存在不同的生物-生化条件;每种癌症可能都有特定的肺泡谱。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/24734a1dd408/molecules-26-00550-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/3182543b3f04/molecules-26-00550-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/8d48e4095718/molecules-26-00550-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/caa63ad06273/molecules-26-00550-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/24734a1dd408/molecules-26-00550-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/3182543b3f04/molecules-26-00550-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/8d48e4095718/molecules-26-00550-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/caa63ad06273/molecules-26-00550-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce03/7866040/24734a1dd408/molecules-26-00550-g004.jpg

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