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E-Poster Display

1925P - DNA methylation signature for prediction of metastasis and response to multikinase inhibitors of differentiated thyroid carcinoma (DTC)

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Thyroid Cancer

Presenters

Jorge Hernando

Citation

Annals of Oncology (2020) 31 (suppl_4): S1026-S1033. 10.1016/annonc/annonc293

Authors

J. Hernando1, C. Zafon2, A. Diez-Villanueva3, C. Iglesias4, H. Rodriguez3, N. Villalmazo3, J. Gil3, E. Klein-Hesselink5, M. Roca1, H. Verdaguer1, D.A. Acosta Eyzaguirre1, M. Diez Garcia1, E. Lindo4, J. Hernandez-Losa4, J. Reverter6, M. Puig-Domingo6, T. Links5, J. Capdevila1, M. Jordà3

Author affiliations

  • 1 Medical Oncology Department, Vall d'Hebron University Hospital, 08035 - Barcelona/ES
  • 2 Endocrinology Department, Vall d'Hebron University Hospital, 08035 - Barcelona/ES
  • 3 Program Of Predictive And Personalized Medicine Of Cancer, Germans Trias i Pujol Research Institute (PMPPC-IGTP), Barcelona/ES
  • 4 Pathology Department, Vall d'Hebron University Hospital, 08035 - Barcelona/ES
  • 5 Department Of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen/NL
  • 6 Department Of Endocrinology And Nutrition, Germans Trias i Pujol Research Institute and University Hospital, Barcelona/ES

Resources

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Abstract 1925P

Background

Despite good prognosis, about 5% of patients (pts) with DTC will develop metastasis (mDTC) which eventually fails to respond to radioactive iodine (RAI). Currently, no effective biomarkers are available to identify prognostic groups in DTC. DNA methylation, one of the most studied epigenetic mechanisms, is altered in thyroid cancer. DNA hypomethylation is associated with the progression of thyroid cancer, and our group identified a prognostic signature of 156-CpGs associated with mDTC, independently of histology and BRAF/RAS mutations, that differs between metastatic (both synchronous and metachronous) and low-risk non-metastatic primary tumors. The aim of this study is to evaluate the prognostic and predictive value of the 156-CpG signature and global DNA hypomethylation in RAI-refractory (RAI-R) mDTC pts.

Methods

RAI-R mDTC pts treated with at least one multikinase inhibitor (MKI) were included. DNA methylation was profiled using Illumina Infinium Human MethylationEPIC. The stepwise AIC method was used for variable selection and leave-one-out cross-validation method to evaluate predictive performance of the model. Selected candidate biomarkers were validated by bisulfite pyrosequencing. DNA global hypomethylation was assessed using Quantification of Unmethylated Alu (QUAlu) technique.

Results

15 RAI-R mDTC pts were included. The 156-CpG methylation signature identified in DTC was validated in RAI-R mDTC. Using 4 CpGs from the 156-signature we developed a high classification power model that predicted metastasis and RAI-R status in thyroidectomy samples. In addition, we established new quantitative DNA methylation assays based on pyrosequencing to measure the DNA methylation of these 4 CpGs. Predictive analysis revealed that most pts with complete or partial response to MKI did not show global DNA hypomethylation while those presenting stable or progressive disease were increasingly affected by global DNA hypomethylation.

Conclusions

We developed a methylation algorithm to predict distant metastases and RAI-R status in pts with DTC, easily implementable in clinical practice. Increased global DNA hypomethylation seems to be associated with a worse response to MKI in RAI-R mDTC pts.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Vall d'Hebron Institute of Oncology (VHIO).

Funding

Grupo Español de Tumores Neuroendocrinos y Endocrinos (GETNE).

Disclosure

J. Hernando: Speaker Bureau/Expert testimony: Eisai; Speaker Bureau/Expert testimony: Ipsen; Speaker Bureau/Expert testimony: Novartis; Speaker Bureau/Expert testimony: Roche; Speaker Bureau/Expert testimony: AAA; Speaker Bureau/Expert testimony: Angelini. J. Capdevila: Honoraria (self): Novartis; Honoraria (self): Pfizer; Honoraria (self): Ipsen; Honoraria (self): Exelixis; Honoraria (self): Bayer; Honoraria (self): Eisai; Honoraria (self): AAA; Honoraria (self): Amgen; Honoraria (self): Sanofi; Honoraria (self): Merck Serono. All other authors have declared no conflicts of interest.

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