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Development of prognostic signatures for intermediate-risk papillary thyroid cancer.
- Source :
-
BMC cancer [BMC Cancer] 2016 Sep 15; Vol. 16 (1), pp. 736. Date of Electronic Publication: 2016 Sep 15. - Publication Year :
- 2016
-
Abstract
- Background: The incidence of Papillary thyroid carcinoma (PTC), the most common type of thyroid malignancy, has risen rapidly worldwide. PTC usually has an excellent prognosis. However, the rising incidence of PTC, due at least partially to widespread use of neck imaging studies with increased detection of small cancers, has created a clinical issue of overdiagnosis, and consequential overtreatment. We investigated how molecular data can be used to develop a prognostics signature for PTC.<br />Methods: The Cancer Genome Atlas (TCGA) recently reported on the genomic landscape of a large cohort of PTC cases. In order to decrease unnecessary morbidity associated with over diagnosing PTC patient with good prognosis, we used TCGA data to develop a gene expression signature to distinguish between patients with good and poor prognosis. We selected a set of clinical phenotypes to define an 'extreme poor' prognosis group and an 'extreme good' prognosis group and developed a gene signature that characterized these.<br />Results: We discovered a gene expression signature that distinguished the extreme good from extreme poor prognosis patients. Next, we applied this signature to the remaining intermediate risk patients, and show that they can be classified in clinically meaningful risk groups, characterized by established prognostic disease phenotypes. Analysis of the genes in the signature shows many known and novel genes involved in PTC prognosis.<br />Conclusions: This work demonstrates that using a selection of clinical phenotypes and treatment variables, it is possible to develop a statistically useful and biologically meaningful gene signature of PTC prognosis, which may be developed as a biomarker to help prevent overdiagnosis.
- Subjects :
- Adult
Aged
Biomarkers, Tumor
Carcinoma diagnosis
Carcinoma, Papillary
Cluster Analysis
Computational Biology methods
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
Male
Middle Aged
Mutation
Neoplasm Metastasis
Neoplasm Staging
Prognosis
Thymus Gland metabolism
Thyroid Cancer, Papillary
Thyroid Neoplasms diagnosis
Carcinoma genetics
Carcinoma mortality
Thyroid Neoplasms genetics
Thyroid Neoplasms mortality
Transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 1471-2407
- Volume :
- 16
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- BMC cancer
- Publication Type :
- Academic Journal
- Accession number :
- 27633254
- Full Text :
- https://doi.org/10.1186/s12885-016-2771-6