1006P - Expression profile of papillary thyroid carcinomas according to cervical lymph node metastasis status

Date 09 October 2016
Event ESMO 2016 Congress
Session Poster display
Topics Head and Neck Cancers
Presenter Mateus Barros Filho
Citation Annals of Oncology (2016) 27 (6): 328-350. 10.1093/annonc/mdw376
Authors M. Barros Filho1, F. Marchi2, C.A. Pinto2, S.R. Rogatto3, L.P. Kowalski1
  • 1Cipe - International Center For Research, A. C. Camargo Cancer Center, 01508-010 - Sao Paulo/BR
  • 2Cipe - International Center For Research, A. C. Camargo Cancer Center, Sao Paulo/BR
  • 3Department Of Clinical Genetics, Vejle Hospital Sygehus Lillebaelt, Vejle Sygehus, Vejle/DK

Abstract

Background

A high incidence of lymph node metastasis has been described in papillary thyroid carcinoma (PTC), which is related to an increased risk of tumor recurrence. Biomarkers have potential to be used as predictive tool to identify patients with high risk to recur in comparison with imaging tests, which present low sensitivity to detect lymph node metastasis. The aim of this study is to identify molecular markers able to predict lymph node metastasis in PTC patients.

Methods

Messenger RNA sequencing data obtained from TCGA (Illumina HiSeq level 3) of PTC were used in a preliminary screening. From 507 patients, 200 were filtered to avoid confounding factors. Cases presenting lymph nodes (LN) positive (N1 = 107) had pathological confirmation of LN metastasis at diagnosis with unicentric primary tumor. Cases LN negative (N0 = 93) had pathological confirmation of LN disease-free; they were no submitted to ablation by radioiodine therapy neither presented loco-regional recurrence after 1-year of follow-up. Differentially expressed genes were submitted to in silico pathway analysis using the Reactome tool. Selected transcripts were further assessed by RT-qPCR using Taqman assays (Applied Biosystems) to confirm the findings in an independent set of 72 PTC samples.

Results

Based on TCGA database, 334 transcripts were detected by comparing N1 versus N0 tumors (random variance t test FDR 2). Pathway analysis revealed an enrichment of genes related to collagen degradation and formation, degradation of the extracellular matrix and activation of matrix metalloproteinases (FDR 

Conclusions

This study revealed a potential involvement of extracellular matrix remodeling pathways in the LN metastasis in PTC. In addition, AREG, S100A2, S100A10, SCEL, PDLIM4 and DIO2 genes are promising markers to discriminate PTC tumors with higher risk of presenting cervical LN metastasis at diagnosis.

Clinical trial identification

Legal entity responsible for the study

AC Camargo Cancer Center

Funding

FAPESP, CNPQ

Disclosure

All authors have declared no conflicts of interest.