Applications of spatially resolved omics in the field of endocrine tumors

Front Endocrinol (Lausanne). 2023 Jan 10:13:993081. doi: 10.3389/fendo.2022.993081. eCollection 2022.

Abstract

Endocrine tumors derive from endocrine cells with high heterogeneity in function, structure and embryology, and are characteristic of a marked diversity and tissue heterogeneity. There are still challenges in analyzing the molecular alternations within the heterogeneous microenvironment for endocrine tumors. Recently, several proteomic, lipidomic and metabolomic platforms have been applied to the analysis of endocrine tumors to explore the cellular and molecular mechanisms of tumor genesis, progression and metastasis. In this review, we provide a comprehensive overview of spatially resolved proteomics, lipidomics and metabolomics guided by mass spectrometry imaging and spatially resolved microproteomics directed by microextraction and tandem mass spectrometry. In this regard, we will discuss different mass spectrometry imaging techniques, including secondary ion mass spectrometry, matrix-assisted laser desorption/ionization and desorption electrospray ionization. Additionally, we will highlight microextraction approaches such as laser capture microdissection and liquid microjunction extraction. With these methods, proteins can be extracted precisely from specific regions of the endocrine tumor. Finally, we compare applications of proteomic, lipidomic and metabolomic platforms in the field of endocrine tumors and outline their potentials in elucidating cellular and molecular processes involved in endocrine tumors.

Keywords: endocrine tumors; liquid chromatography-mass spectrometry; mass spectrometry imaging; microextraction; multi-omics; spatially resolved microproteomics.

Publication types

  • Review

MeSH terms

  • Endocrine Gland Neoplasms*
  • Humans
  • Metabolomics / methods
  • Neoplasms*
  • Proteomics / methods
  • Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / methods
  • Tandem Mass Spectrometry
  • Tumor Microenvironment