A novel integrative risk index of papillary thyroid cancer progression combining genomic alterations and clinical factors.

Published

Journal Article

Although the majority of papillary thyroid cancer (PTC) is indolent, a subset of PTC behaves aggressively despite the best available treatment. A major clinical challenge is to reliably distinguish early on between those patients who need aggressive treatment from those who do not. Using a large cohort of PTC samples obtained from The Cancer Genome Atlas (TCGA), we analyzed the association between disease progression and multiple forms of genomic data, such as transcriptome, somatic mutations, and somatic copy number alterations, and found that genes related to FOXM1 signaling pathway were significantly associated with PTC progression. Integrative genomic modeling was performed, controlling for demographic and clinical characteristics, which included patient age, gender, TNM stages, histological subtypes, and history of other malignancy, using a leave-one-out elastic net model and 10-fold cross validation. For each subject, the model from the remaining subjects was used to determine the risk index, defined as a linear combination of the clinical and genomic variables from the elastic net model, and the stability of the risk index distribution was assessed through 2,000 bootstrap resampling. We developed a novel approach to combine genomic alterations and patient-related clinical factors that delineates the subset of patients who have more aggressive disease from those whose tumors are indolent and likely will require less aggressive treatment and surveillance (p = 4.62 × 10-10, log-rank test). Our results suggest that risk index modeling that combines genomic alterations with current staging systems provides an opportunity for more effective anticipation of disease prognosis and therefore enhanced precision management of PTC.

Full Text

Duke Authors

Cited Authors

  • Cheng, Q; Li, X; Acharya, CR; Hyslop, T; Sosa, JA

Published Date

  • March 7, 2017

Published In

Volume / Issue

  • 8 / 10

Start / End Page

  • 16690 - 16703

PubMed ID

  • 28187428

Pubmed Central ID

  • 28187428

Electronic International Standard Serial Number (EISSN)

  • 1949-2553

Digital Object Identifier (DOI)

  • 10.18632/oncotarget.15128

Language

  • eng

Conference Location

  • United States