Identifying Hub Genes Associated with Sex Disparities in Prolactinomas

<b><i>Background:</i></b> Male patients with prolactinomas exhibit greater invasiveness, resistance to dopamine agonists, making treatment more challenging. This study aims to explore the potential different genes contributing to sex disparities in prolactinomas. <b><i>Materials and Methods:</i></b> Weighted gene co-expression network analysis and differential expressed genes analysis were performed to identify sex-related hub genes. In addition, bioinformatics analyses were conducted to understand gene localization on chromosomes, gene regulatory networks, signaling pathways, and their relationship with immune function, which was verified in 21 human prolactinoma samples. <b><i>Results:</i></b> A total of 21 sex-related hub genes were identified. The hub genes in males included nine Y chromosome genes and six autosomal genes, while females had six specific genes. Further predictions using the NetworkAnalyst online tool suggested that transcription factors (REST, androgen receptor) and microRNAs (miR-27a-3p, miR-146a-5p) may be involved in regulating the above sex-related hub genes. CIBERSORT analysis revealed that prolactinomas in males showed significant infiltration of resting dendritic cells and naive CD4<sup>+</sup> T cells. Correlation analysis between sex-related hub genes and immune checkpoint genes indicated that male hub genes were positively correlated with <i>CD47</i> and <i>CEACAM1</i>, while showing a strong negative correlation with <i>CD28</i>, <i>TNFSF14</i>, and <i>CD226</i>. Finally, similar changes of gene expression in our surgical prolactinoma samples were confirmed by RT-qPCR. <b><i>Conclusions:</i></b> In prolactinomas, the male hub genes and female hub genes are identified by our bioinformatics analysis. Our findings suggest that <i>KDM5D</i>, <i>PDCD1</i>, <i>ELOA3BP</i>, <i>XRRA1,</i> and <i>SIGLEC12</i> serve as potential biomarkers for male prolactinomas, while <i>SOX3</i>, <i>DMGDH</i>, and <i>NPAS1</i> may serve as potential biomarkers for female prolactinoma, providing a theoretical basis for targeted therapy.

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Publication Details

Journal
Genetic Testing and Molecular Biomarkers
Published
2025-09-01
DOI
https://doi.org/10.1177/19450265251375945
Primary Topic
Pituitary Gland Disorders and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying Hub Genes Associated with Sex Disparities in Prolactinomas

Hui Yang, Yuyang Peng, Yuan Zhang, Song Li et al.
Genetic Testing and Molecular Biomarkers
Pituitary Gland Disorders and Treatments
article

Identifying Hub Genes Associated with Sex Disparities in Prolactinomas

Hui Yang, Yuyang Peng, Yuan Zhang, Song Li, Hong Liang, Chengcheng Wang
article en

Abstract

<b><i>Background:</i></b> Male patients with prolactinomas exhibit greater invasiveness, resistance to dopamine agonists, making treatment more challenging. This study aims to explore the potential different genes contributing to sex disparities in prolactinomas. <b><i>Materials and Methods:</i></b> Weighted gene co-expression network analysis and differential expressed genes analysis were performed to identify sex-related hub genes. In addition, bioinformatics analyses were conducted to understand gene localization on chromosomes, gene regulatory networks, signaling pathways, and their relationship with immune function, which was verified in 21 human prolactinoma samples. <b><i>Results:</i></b> A total of 21 sex-related hub genes were identified. The hub genes in males included nine Y chromosome genes and six autosomal genes, while females had six specific genes. Further predictions using the NetworkAnalyst online tool suggested that transcription factors (REST, androgen receptor) and microRNAs (miR-27a-3p, miR-146a-5p) may be involved in regulating the above sex-related hub genes. CIBERSORT analysis revealed that prolactinomas in males showed significant infiltration of resting dendritic cells and naive CD4<sup>+</sup> T cells. Correlation analysis between sex-related hub genes and immune checkpoint genes indicated that male hub genes were positively correlated with <i>CD47</i> and <i>CEACAM1</i>, while showing a strong negative correlation with <i>CD28</i>, <i>TNFSF14</i>, and <i>CD226</i>. Finally, similar changes of gene expression in our surgical prolactinoma samples were confirmed by RT-qPCR. <b><i>Conclusions:</i></b> In prolactinomas, the male hub genes and female hub genes are identified by our bioinformatics analysis. Our findings suggest that <i>KDM5D</i>, <i>PDCD1</i>, <i>ELOA3BP</i>, <i>XRRA1,</i> and <i>SIGLEC12</i> serve as potential biomarkers for male prolactinomas, while <i>SOX3</i>, <i>DMGDH</i>, and <i>NPAS1</i> may serve as potential biomarkers for female prolactinoma, providing a theoretical basis for targeted therapy.

Genetic Testing and Molecular BiomarkersVol. 29(9)
Allen Institute for Brain Science (US), Army Medical University (CN), Nanjing General Hospital of Nanjing Military Command (CN), Xinqiao Hospital (CN), Chongqing Jiulongpo People's Hospital (CN), Nanjing University (CN)
Openalex Percentile: Top 68%
Pituitary Gland Disorders and Treatments
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