Yu Sun, Jiaxuan Sun, Xiaona Gao, Tiefeng Shi, Maoqing Wang
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引用次数: 0
Abstract
Background: To identify biomarkers of papillary thyroid carcinoma (PTC) and explore the possible pathogenic mechanism.
Methods: This study included five patients with PTC. Protein expression of cancer tissues and adjacent normal thyroid tissues from each patient were analyzed by TMT proteomics technology. Differentially expressed proteins were identified, and functional annotation of differentially expressed proteins was performed by bioinformatics and pathway enrichment analysis.
Results: A total of 639 differentially expressed proteins were identified, including 278 upregulated and 361 downregulated proteins. Six upregulated proteins were identified as potential specific markers of PTC.
Conclusion: Differentially expressed proteins may represent new molecular markers of PTC. These differentially expressed proteins and the related pathways may provide new insights into the pathogenic mechanisms of PTC.
期刊介绍：
OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer.
The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype.
Specific topics covered by the journal include:
-Novel therapeutic targets and innovative agents
-Novel therapeutic regimens for improved benefit and/or decreased side effects
-Early stage clinical trials
Further considerations when submitting to OncoTargets and Therapy:
-Studies containing in vivo animal model data will be considered favorably.
-Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines.
-Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples.
-Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Single nucleotide polymorphism (SNP) studies will not be considered.
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