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Transcriptomes define distinct subgroups of salivary gland adenoid cystic carcinoma with different driver mutations and outcomes

  • Candace A. Frerich
  • , Kathryn J. Brayer
  • , Brandon M. Painter
  • , Huining Kang
  • , Yoshitsugu Mitani
  • , Adel K. El-Naggar
  • , Scott A. Ness

Research output: Contribution to journalArticlepeer-review

Abstract

The relative rarity of salivary gland adenoid cystic carcinoma (ACC) and its slow growing yet aggressive nature has complicated the development of molecular markers for patient stratification. To analyze molecular differences linked to the protracted disease course of ACC and metastases that form 5 or more years after diagnosis, detailed RNA-sequencing (RNA-seq) analysis was performed on 68 ACC tumor samples, starting with archived, formalin-fixed paraffin-embedded (FFPE) samples up to 25 years old, so that clinical outcomes were available. A statistical peak-finding approach was used to classify the tumors that expressed MYB or MYBL1, which had overlapping gene expression signatures, from a group that expressed neither oncogene and displayed a unique phenotype. Expression of MYB or MYBL1 was closely correlated to the expression of the SOX4 and EN1 genes, suggesting that they are direct targets of Myb proteins in ACC tumors. Unsupervised hierarchical clustering identified a subgroup of approximately 20% of patients with exceptionally poor overall survival (median less than 30 months) and a unique gene expression signature resembling embryonic stem cells. The results provide a strategy for stratifying ACC patients and identifying the high-risk, poor-outcome group that are candidates for personalized therapies.

Original languageEnglish (US)
Pages (from-to)7341-7358
Number of pages18
JournalOncotarget
Volume9
Issue number7
DOIs
StatePublished - Jan 26 2018
Externally publishedYes

Funding

The authors acknowledge the outstanding technical support from Jennifer Woods, Maggie Cyphery, Jamie Padilla, Jason Byars and Gavin Pickett. Some experiments used the facilities or services provided by the Analytical and Translational Genomics Shared Resource, the Fluorescence Microscopy and Cell Imaging Shared Resource and the Human Tissue Repository and Cell Analysis Shared Resource, which are supported by the State of New Mexico and the UNM Comprehensive Cancer Center P30CA118100. We are also grateful for support from the Adenoid Cystic Carcinoma Research Foundation and the Salivary Gland Tumor Biorepository. We especially thank Dr. Diana Bell for help with the ACC tumor validation. RNA sequencing data is available for download from the NCBI BioProject database using study accession number PRJNA287156. NIH grants 5R01CA170250, 5R01DE023222 and P30CA118100

FundersFunder number
Author National Institutes of Health National Institutes of Health National Institutes of Health National Institutes of Health The Bev Hartig Huntington's Disease Foundation National Institutes of HealthP30CA118100, 5R01CA170250
National Institute of Dental and Craniofacial ResearchR01DE023222

    Keywords

    • Bioinformatics
    • Biomarker
    • Emt
    • Personalized medicine
    • Precision medicine

    ASJC Scopus subject areas

    • Oncology

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