Mass Spectrometry-Based Proteomic Discovery of Prognostic Biomarkers in Adrenal Cortical Carcinoma

Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We pe...

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Bibliographic Details
Published in:Cancers 2021-08, Vol.13 (15), p.3890
Main Authors: Jang, Han Na, Moon, Sun Joon, Jung, Kyeong Cheon, Kim, Sang Wan, Kim, Hyeyoon, Han, Dohyun, Kim, Jung Hee
Format: Article
Language:English
Subjects:
Adrenal glands
Algorithms
Biomarkers
Cancer
Gene expression
Genomes
Immunohistochemistry
Learning algorithms
Liquid chromatography
Machine learning
Mass spectrometry
Mass spectroscopy
Medical prognosis
Metastasis
Paraffin
Patients
Peptides
Prognosis
Proteins
Proteomics
Rare diseases
Regression analysis
Scientific imaging
Software
Survival
Tumors
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Summary:Adrenal cortical carcinoma (ACC) is an extremely rare disease with a variable prognosis. Current prognostic markers have limitations in identifying patients with a poor prognosis. Herein, we aimed to investigate the prognostic protein biomarkers of ACC using mass-spectrometry-based proteomics. We performed the liquid chromatography-tandem mass spectrometry (LC-MS/MS) using formalin-fixed paraffin-embedded (FFPE) tissues of 45 adrenal tumors. Then, we selected 117 differentially expressed proteins (DEPs) among tumors with different stages using the machine learning algorithm. Next, we conducted a survival analysis to assess whether the levels of DEPs were related to survival. Among 117 DEPs, HNRNPA1, C8A, CHMP6, LTBP4, SPR, NCEH1, MRPS23, POLDIP2, and WBSCR16 were significantly correlated with the survival of ACC. In age- and stage-adjusted Cox proportional hazard regression models, only HNRNPA1, LTBP4, MRPS23, POLDIP2, and WBSCR16 expression remained significant. These five proteins were also validated in TCGA data as the prognostic biomarkers. In this study, we found that HNRNPA1, LTBP4, MRPS23, POLDIP2, and WBSCR16 were protein biomarkers for predicting the prognosis of ACC.
ISSN:2072-6694
2072-6694
DOI:10.3390/cancers13153890