posted on 2011-08-04, 00:00authored byAntonia Kolokythas, Joel L. Schwartz, Kristen B. Pytynia, Suchismita Panda, Mike Yao, Brian Homann, Herve Y. Sroussi, Joel B. Epstein, Sara C. Gordon, Guy Adami
RNA expression analysis of oral keratinocytes can be used to detect early oral cancer but a limitation is the inability to obtain high quality RNA from oral tissue without using biopsies. While oral cytology cell samples can be obtained from patients in a minimally invasive
manner they have not been validated for quantitative analysis of RNA expression. Earlier we showed RNA from brush cytology of hamster Oral Squamous Cell Carcinoma (OSCC)
showed differential expression of B2M and CYP1B1 using real time RT-PCR in a Dibenz[a,I]pyrene, tobacco carcinogen, induced model of this disease. Here we show
reproducibility of this approach to measuring gene expression in humans. Cytology brush samples from 12 tobacco and betel related OSCC and 17 nonmalignant oral lesions revealed B2M mRNA was enriched in tumor samples while CYP1B1 mRNA was reduced, similar to what was seen in the model system. Additionally, we showed that KRT17 mRNA, a gene linked to OSCC in another brush cytology study, was also enriched in OSCC versus nonmalignant lesions, again supporting the promise of using RNA from brush oral cytology to reproducibly monitor oral gene expression.
Funding
This work was funded by a grant from the National Cancer Institute (1R21CA139137-01) to
Dr. Schwartz and a gift from Arphion Ltd. to Dr. Adami.
History
Publisher Statement
NOTICE: this is the author’s version of a work that was accepted for publication in Oral Oncology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Oral Oncology, [Vol 47, Issue 6, (June 2011)] DOI: 10.1016/j.oraloncology.2011.03.029. The original publication is available at www.elsevier.com.