Integrating Methylome and Transcriptome Signatures Expands the Molecular Classification of the Pituitary Tumors

Objective To explore pituitary tumors by methylome and transcriptome signatures in a heterogeneous ethnic population. Methods In this retrospective cross-sectional study, clinicopathological features, methylome, and transcriptome were evaluated in pituitary tumors from 77 patients (61% women, age 12-72 years) followed due to functioning (FPT: GH-secreting n = 18, ACTH-secreting n = 14) and nonfunctioning pituitary tumors (NFPT, n = 45) at Ribeirao Preto Medical School, University of Sao Paulo. Results Unsupervised hierarchical clustering analysis (UHCA) of methylome (n = 77) and transcriptome (n = 65 out of 77) revealed 3 clusters each: one enriched by FPT, one by NFPT, and a third by ACTH-secreting and NFPT. Comparison between each omics-derived clusters identified 3568 and 5994 differentially methylated and expressed genes, respectively, which were associated with each other, with tumor clinical presentation, and with 2017 and 2022 WHO classifications. UHCA considering 11 transcripts related to pituitary development/differentiation also supported 3 clusters: POU1F1-driven somatotroph, TBX19-driven corticotroph, and NR5A1-driven gonadotroph adenomas, with rare exceptions (NR5A1 expressed in few GH-secreting and corticotroph silent adenomas; POU1F1 in few ACTH-secreting adenomas; and TBX19 in few NFPTs). Conclusion This large heterogenic ethnic Brazilian cohort confirms that integrated methylome and transcriptome signatures classify FPT and NFPT, which are associated with clinical presentation and tumor invasiveness. Moreover, the cluster NFPT/ACTH-secreting adenomas raises interest regarding tumor heterogeneity, supporting the challenge raised by the 2017 and 2022 WHO definition regarding the discrepancy, in rare cases, between clinical presentation and pituitary lineage markers. Finally, making our data publicly available enables further studies to validate genes/pathways involved in pituitary tumor pathogenesis and prognosis.

Automated summary

This study explored pituitary tumors in a heterogeneous ethnic population by evaluating methylome and transcriptome signatures. Unsupervised hierarchical clustering analysis revealed three clusters associated with functioning, nonfunctioning, and ACTH-secreting tumors. Differential methylated and expressed genes were found to be associated with tumor clinical presentation and WHO classifications. The clustering of pituitary development/differentiation-related transcripts also supported the classification. Making the data publicly available enables further research on the pathogenesis and prognosis of pituitary tumors.