Benign Tissue or Malignant Tumors? Using CpG Dinucleotide Methylation Patterns to Diagnose Cancer in the Adrenal Glands and Adrenal Cortex
This technology represents new methods to distinguish malignant adrenocortical tumors from benign tumors and normal tissue in the adrenal glands/cortex using the methylation patterns of cytosine-phosphate-guanine dinucleotide (CpG) sequences. A biopsy or other noninvasive means of tissue or fluid collection to obtain patient nucleic acid can allow clinicians to test an individual's CpG methylation patterns to diagnose if the individual's sample is malignant and if a malignancy is a primary or metastatic adrenocortical tumor. Different CpG methylation patterns comparing normal/benign and malignant tissues may also serve as target sites for developing adrenocortical cancer therapies. Genes where increased CpG methylation is predictive of malignancy include KCTD12, KIRREL, SYNGR1, and NTGN2, as well as other secondary sequences.
Adrenal glands sit atop the kidneys and release stress response hormones. The CpG methylation patterns of 5-methylcytosines at CpG sites can alter gene expression, which can impact if a tumor will develop benign or malignant properties and influence its metastatic potential. Effective diagnosis of these tumors will improve adrenal cancer therapy and help avoid unnecessary surgery or chemotherapy for patients with benign tumors.
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Electron Kebebew (NCI)
Nesrin Rechache (NCI)
Paul Meltzer (NCI)
Yonghong Wang (NCI)
US Application No. 61/615,869
PCT Application No. PCT/US13/30347
The National Cancer Institute Endocrine Oncology Branch is seeking statements of capability or interest from parties interested in collaborative research to further develop, evaluate or commercialize a diagnostic method for adrenocortical cancer through analysis of methylation patterns in tissue. For collaboration opportunities, please contact John Hewes, Ph.D. at firstname.lastname@example.org. Click here to view the NCI collaborative opportunity announcement.
Yolanda Hawkins , Ph.D.
NIH Office of Technology Transfer
OTT Reference No: E-135-2012/0