Mass spectrometry database of lacrimal gland adenoid cystic carcinoma and normal lacrimal gland tissue identifies extracellular matrix remodeling in these tumors

Acadia H M Moeyersoms; Vasileios Stathias; Ravi Doddapaneni; David T Tse; Daniel Pelaez

doi:10.1016/j.dib.2023.109330

Mass spectrometry database of lacrimal gland adenoid cystic carcinoma and normal lacrimal gland tissue identifies extracellular matrix remodeling in these tumors

Data Brief. 2023 Jun 19:49:109330. doi: 10.1016/j.dib.2023.109330. eCollection 2023 Aug.

Authors

Acadia H M Moeyersoms^{1

2}, Vasileios Stathias³, Ravi Doddapaneni⁴, David T Tse¹, Daniel Pelaez^{1

2

5}

Affiliations

¹ Dr. Nasser Ibrahim Al-Rashid Orbital Vision Research Center, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
² Sylvester Comprehensive Cancer Center, University of Miami, Miller School of Medicine, Miami, FL, USA.
³ Department of Pharmacology, University of Miami, Miller School of Medicine, Miami, FL, USA.
⁴ McColl-Lockwood Laboratory for Muscular Dystrophy Research, Atrium Health Musculoskeletal Institute, Wake Forest School of Medicine, Carolinas Medical Center, Charlotte, NC, USA.
⁵ Department of Biomedical Engineering, University of Miami College of Engineering, University of Miami, Miami, FL, USA.

Abstract

Adenoid cystic carcinoma of the lacrimal gland (LGACC) is a slow-growing but aggressive orbital malignancy. Due to the rarity of LGACC, it is poorly understood, which makes diagnosing, treating, and monitoring disease progression difficult. The aim is to understand the molecular drivers of LGACC further to identify potential targets for treating this cancer. Mass spectrometry was performed on LGACC and normal lacrimal gland samples to examine the differentially expressed proteins to understand this cancer's proteomic characteristics. Downstream gene ontology and pathway analysis revealed the extracellular matrix is the most upregulated process in LGACC. This data serves as a resource for further understanding LGACC and identifying potential treatment targets. This dataset is publicly available.

Keywords: Cancer research; Ocular oncology; Pathway analysis; Proteomics.