Is papillary thyroid microcarcinoma a biologically different disease? A propensity score-matched analysis

Yi Chiung Hsu, Jie Jen Lee, Ming Nan Chien, Ming Jen Chen, Ching Hsiang Leung, Shih Ping Cheng

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Background: Papillary thyroid microcarcinoma exhibits an indolent clinical course and could be a candidate for active surveillance in the appropriate setting. It remains unknown whether papillary microcarcinoma is biologically different from larger papillary carcinoma >1 cm. Methods: We analyzed clinicopathological information and transcriptome data of papillary thyroid cancer samples from The Cancer Genome Atlas. Propensity-score matching was used to construct a matched cohort consisting of 29 microcarcinomas and 58 carcinomas. Principal component analysis and unsupervised hierarchical cluster analysis were carried out to investigate the similarity of gene expression profiles. Results: After adjustment for differences in baseline clinicopathological and genetic factors, transcriptome could be grouped mainly on the basis of tumor class (BRAF-like vs RAS-like) and tumor size (microcarcinoma vs carcinoma). The gene set enrichment analysis showed that extracellular matrix-associated pathways were enriched in the MSigDB database. Conclusion: Papillary thyroid microcarcinomas display a distinct gene expression pattern different from the corresponding carcinomas. We hypothesize that tumor microenvironment may play a role in the microcarcinoma/carcinoma phenotypic divergence.

Original languageEnglish
Pages (from-to)1023-1030
Number of pages8
JournalJournal of Surgical Oncology
Volume120
Issue number6
DOIs
StatePublished - 1 Nov 2019

Keywords

  • microcarcinoma
  • propensity score matching
  • thyroid carcinoma
  • transcriptome

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