Identification of molecular markers for the early detection of human squamous cell carcinoma of the uterine cervix

42Citations
Citations of this article
26Readers
Mendeley users who have this article in their library.

Your institution provides access to this article.

Abstract

To identify novel cellular genes that could potentially act as predictive molecular markers for human cervical cancer, we employed RT-PCR differential display, reverse Northern and Northern blot analysis to compare the gene expression profiles between squamous cell carcinoma biopsies and adjacent histo-pathological normal epithelium tissues. Twenty-eight cDNA clones were isolated that were demonstrated to be consistently over-expressed in squamous cell cervical cancer biopsies of FIGO stages 1B to 3B. Most importantly, it was observed that, in addition to their over-expression in cancer lesions, some of these genes are upregulated in the presumably histo-pathological normal adjacent tissues. Of particular interest is clone G30CC that has been identified to be the gene that encodes SI2 ribosomal protein. When employed for RNA-RNA in situ hybridization experiments, expression of G30CC could be detected in the immature basal epithelial cells of histo-pathological normal tissues collected from cervical cancer patients of early FIGO stages. In comparison, the expression of G30CC was not detected in cervical tissues collected from patients admitted for surgery of non-malignant conditions. These results allow the distinct possibility of employing the ribosomal protein SI2 gene as an early molecular diagnostic identifier for the screening of human cervical cancer and a potential target employed for cancer gene therapy trials. © 2002 The Cancer Research Campaign.

Cite

CITATION STYLE

APA

Cheng, Q., Lau, W. M., Chew, S. H., Ho, T. H., Tay, S. K., & Hui, K. M. (2002). Identification of molecular markers for the early detection of human squamous cell carcinoma of the uterine cervix. British Journal of Cancer, 86(2), 274–281. https://doi.org/10.1038/sj.bjc.6600038

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free