Improving Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis: Fourier Transform Infrared on Buccal Mucosa Cancer.
Improving Vibrational Spectroscopy Prospects in Frontline Clinical Diagnosis: Fourier Transform Infrared on Buccal Mucosa Cancer.
复制标题
DOI：
10.1021/acs.analchem.2c02496
复制
发表时间：
2022-10-11
影响因子：
7.4
通讯作者：
Roy D
中科院分区：
文献类型：
--
作者：
Duckworth E;Hole A;Deshmukh A;Chaturvedi P;Chilakapati MK;Mora B;Roy D
我们报告了一种新的方法，诊断颊粘膜癌的准确率高于90%。我们使用傅里叶变换红外光谱分析的人血清通过抑制混杂的高分子量信号，从而相对增强生物标志物的信号。还研究了血清的较窄范围的分子量窗口，其在诊断上产生甚至更高的准确性。在血清的10-30 kDa分子量区域产生最准确的结果，以区分两个最难辨别的类别，即，癌前病变和癌症患者。这项工作有望通过识别一个关键的分子量区域来实现高准确性的早期诊断，并更深入地了解这些信号的分子起源。
We report a novel method with higher than 90% accuracy in diagnosing buccal mucosa cancer. We use Fourier transform infrared spectroscopic analysis of human serum by suppressing confounding high molecular weight signals, thus relatively enhancing the biomarkers’ signals. A narrower range molecular weight window of the serum was also investigated that yielded even higher accuracy on diagnosis. The most accurate results were produced in the serum’s 10–30 kDa molecular weight region to distinguish between the two hardest to discern classes, i.e., premalignant and cancer patients. This work promises an avenue for earlier diagnosis with high accuracy as well as greater insight into the molecular origins of these signals by identifying a key molecular weight region to focus on.
登录
查看更多内容
影响因子：
3.7
作者：
Le Corvec M;Jezequel C;Monbet V;Fatih N;Charpentier F;Tariel H;Boussard-Plédel C;Bureau B;Loréal O;Sire O;Bardou-Jacquet E
通讯作者：
Bardou-Jacquet E
影响因子：
3.5
作者：
Sahu, Aditi K.;Dhoot, Suyash;Krishna, C. Murali
通讯作者：
Krishna, C. Murali
DOI：
10.1073/pnas.1701517114
发表时间：
2017-09-19
影响因子：
11.1
作者：
Paraskevaidi, Maria;Morais, Camilo L. M.;Martin, Francis L.
通讯作者：
Martin, Francis L.
影响因子：
6.3
作者：
Barlev, Eyal;Zelig, Udi;Wasserberg, Nir
通讯作者：
Wasserberg, Nir
影响因子：
4.2
作者：
Bonnier, Franck;Blasco, Helene;Chourpa, Igor
通讯作者：
Chourpa, Igor