A prototype tobacco-associated oral squamous cell carcinoma classifier using RNA from brush cytology.
A prototype tobacco-associated oral squamous cell carcinoma classifier using RNA from brush cytology.
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DOI:
10.1111/jop.12068
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发表时间:
2013-10
期刊:
影响因子:
--
通讯作者:
Adami GR
中科院分区:
文献类型:
--
作者:
Kolokythas A;Bosman MJ;Pytynia KB;Panda S;Sroussi HY;Dai Y;Schwartz JL;Adami GR
Oral cancer in the form of squamous cell carcinoma (OSCC) is typically detected in advanced stages when treatment is complex and may not be curative. The need for surgical biopsy may contribute to delays in diagnosis and impede early detection. Multiple studies of RNA from surgically obtained tumor samples have revealed many genes differentially expressed with this disease. We sought to determine if the identified mRNAs could be used as markers by a noninvasive detection system for OSCC using RNA from brush cytology. Levels of mRNAs from 21 genes known to be differentially expressed in head and neck squamous cell carcinoma surgical samples, compared to controls, were shown to be quantifiable in oral brush cytology samples. These mRNAs were quantified in a training set of 14 tumor and 20 nonmalignant brush cytology samples from tobacco/betel nut users. The measurement of two additional mRNAs and analysis using support vector machines produced an algorithm for class prediction of these cancers. This OSCC classifier based on the levels of 5 mRNAs in RNA from brush cytology initially showed 0.93 sensitivity and 0.91 specificity in differentiating OSCC from benign oral mucosal lesions based on leave-one-out cross-validation. When used on a test set of 19 samples from 6 OSCCs and 13 nonmalignant oral lesions we found misclassification of only one OSCC and one benign lesion. This shows the promise of using RNA from brush cytology for early OSCC detection and the potential for clinical usage of this noninvasive classifier.
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