Spatial Transcriptomic Analysis of Pituitary Corticotroph Tumors.

Autor:	Piña JO; Section on Craniofacial Genetic Disorders, Eunice Kennedy ShriverNational Institute of Child Health, and Human Development, National Institutes of Health, Bethesda, MD 20892, USA., Faucz FR; Molecular Genomics Core, Eunice Kennedy ShriverNational Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA., Padilla C; Molecular Genomics Core, Eunice Kennedy ShriverNational Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA., Floudas CS; Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA., Chittiboina P; Neurosurgery Unit for Pituitary and Inheritable Diseases, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20892, USA., Quezado M; Laboratory of Pathology, Center for Cancer Research, National Institutes of Health, Bethesda, MD 20892, USA., Tatsi C; Unit on Hypothalamic and Pituitary Disorders, Eunice Kennedy ShriverNational Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
Jazyk:	angličtina
Zdroj:	Journal of the Endocrine Society [J Endocr Soc] 2024 Apr 03; Vol. 8 (6), pp. bvae064. Date of Electronic Publication: 2024 Apr 03 (Print Publication: 2024).
DOI:	10.1210/jendso/bvae064
Abstrakt:	Context: Spatial transcriptomic (ST) analysis of tumors provides a novel approach to studying gene expression along with the localization of tumor cells in their environment to uncover spatial interactions. Design: We present ST analysis of corticotroph pituitary neuroendocrine tumors (PitNETs) from formalin-fixed, paraffin-embedded tissues. ST data were compared to immunohistochemistry results. Gene expression profiles were reviewed for cluster annotations, and differentially expressed genes were used for pathway analysis. Results: Seven tumors were used for ST analysis. In situ annotation of tumor tissue was inferred from the gene expression profiles and was in concordance with the annotation made by a pathologist. Furthermore, relative gene expression in the tumor corresponded to common protein staining used in the evaluation of PitNETs, such as reticulin and Ki-67 index. Finally, we identified intratumor heterogeneity; clusters within the same tumor may present with different transcriptomic profiles, unveiling potential intratumor cell variability. Conclusion: Together, our results provide the first attempt to clarify the spatial cell profile in PitNETs. (Published by Oxford University Press on behalf of the Endocrine Society 2024.)
Databáze:	MEDLINE
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