Salivary Transcriptome Diagnostics for Oral Cancer Detection

By Yang Li, M. S. St John, Xiaofeng Zhou, Yong Kim, U. Sinha, R. Jordan, D. Eisele, E. Abemayor, D. Elashoff, N. Park and 1 more. Clinical Cancer Research, 2004

606 citations recorded by the source corpus.

Subfields: Otorhinolaryngology, Periodontics, Physiology

View Paper: https://www.semanticscholar.org/paper/3646f2a043da05309750ac284cd40e4d707607ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Periodontics

1. E. D. De Palo
2. G. Antonelli
3. R. Gatti
4. S. Chiappin

In Physiology

1. E. D. De Palo
2. G. Antonelli
3. R. Gatti
4. S. Chiappin

Citations in the corpus

• Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles (2009, methodology): “In this study, although we used stepwise feature selection and an MLR model to identify classifiers, other feature selection and classification methods are also applicable, such as regression tree models (Li et al. 2004, 2006) and concurrent use of ANN with SVM (Ayers et al. 2004).”
• Salivary microRNA: Discovery, Characterization, and Clinical Utility for Oral Cancer Detection (2009, neutral): “91 for oral cancer discrimination (5, 7).”
• Saliva specimen: a new laboratory tool for diagnostic and basic investigation. (2007, background): “Oral fluid is mainly utilized for research and diagnostic purposes concerning systemic diseases that involve the salivary glands and oral cavity, such as Sjögren syndrome [11,77], Beçhet syndrome, benignant and malignant oral tumours [78].”