liquid association
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2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nasibeh Khayer ◽  
Maryam Jalessi ◽  
Amin Jahanbakhshi ◽  
Alireza Tabib khooei ◽  
Mehdi Mirzaie

AbstractNon-functioning pituitary adenomas (NFPAs) are typical pituitary macroadenomas in adults associated with increased mortality and morbidity. Although pituitary adenomas are commonly considered slow-growing benign brain tumors, numerous of them possess an invasive nature. Such tumors destroy sella turcica and invade the adjacent tissues such as the cavernous sinus and sphenoid sinus. In these cases, the most critical obstacle for complete surgical removal is the high risk of damaging adjacent vital structures. Therefore, the development of novel therapeutic strategies for either early diagnosis through biomarkers or medical therapies to reduce the recurrence rate of NFPAs is imperative. Identification of gene interactions has paved the way for decoding complex molecular mechanisms, including disease-related pathways, and identifying the most momentous genes involved in a specific disease. Currently, our knowledge of the invasion of the pituitary adenoma at the molecular level is not sufficient. The current study aimed to identify critical biomarkers and biological pathways associated with invasiveness in the NFPAs using a three-way interaction model for the first time. In the current study, the Liquid association method was applied to capture the statistically significant triplets involved in NFPAs invasiveness. Subsequently, Random Forest analysis was applied to select the most important switch genes. Finally, gene set enrichment (GSE) and gene regulatory network (GRN) analyses were applied to trace the biological relevance of the statistically significant triplets. The results of this study suggest that “mRNA processing” and “spindle organization” biological processes are important in NFAPs invasiveness. Specifically, our results suggest Nkx3-1 and Fech as two switch genes in NFAPs invasiveness that may be potential biomarkers or target genes in this pathology.


2021 ◽  
Author(s):  
Nasibeh Khayer ◽  
Maryam Jalessi ◽  
Amin Jahanbakhshi ◽  
Alireza Tabib khooei ◽  
Mehdi Mirzaie

Abstract Non-functioning pituitary adenomas (NFPAs) are typical pituitary macroadenomas in adults that are associated with increased mortality and morbidity. Although pituitary adenomas are commonly considered slow-growing benign brain tumors, numerous of them possess an invasive nature. Such tumors destroy sella turcica and invade the adjacent tissues such as the cavernous sinus and sphenoid sinus. The most critical obstacle for complete surgical removal in these cases is the high risk of damaging adjacent vital structures. Therefore, the development of novel therapeutic strategies for either early diagnosis through biomarkers or medical therapies to reduce the recurrence rate of NFPAs is imperative. Identification of gene interactions has paved the way for decoding complex molecular mechanisms, including disease-related pathways, and identifying the most momentous genes involved in a specific disease. Currently, our knowledge of the invasion of the pituitary adenoma at the molecular level is not sufficient. The current study aimed to identify critical biomarkers and biological pathways associated with invasiveness in the NFPAs using a three-way interaction model for the first time. In the current study, the Liquid association method was applied to capture the statistically significant triplets that are involved in NFPAs invasiveness. Subsequently, Random Forest analysis was applied to select the most important switch genes. Finally, gene set enrichment (GSE) and gene regulatory network (GRN) analyses were applied to trace the biological relevance of the statistically significant triplets. The results of this study suggest that “mRNA processing” and “spindle organization” biological processes are important in NFAPs invasiveness. Specifically, our results suggest Nkx3-1 and Fech as two switch genes in NFAPs invasiveness that may be a potential biomarkers or target genes, in this pathology.


2020 ◽  
Vol 13 (1) ◽  
pp. 119-125
Author(s):  
Shinsheng Yuan ◽  
Guani Wu ◽  
Yu-Cheng Li ◽  
Yi-Chang Lu ◽  
Ker-Chau Li
Keyword(s):  

BMC Genomics ◽  
2019 ◽  
Vol 20 (S2) ◽  
Author(s):  
Dongmei Ai ◽  
Xiaoxin Li ◽  
Hongfei Pan ◽  
Jiamin Chen ◽  
Jacob A. Cram ◽  
...  

Oncotarget ◽  
2017 ◽  
Vol 9 (1) ◽  
pp. 1063-1074 ◽  
Author(s):  
Jialiang Yang ◽  
Yufang Qin ◽  
Tiantian Zhang ◽  
Fayou Wang ◽  
Lihong Peng ◽  
...  

2017 ◽  
Vol 33 (14) ◽  
pp. 2140-2147 ◽  
Author(s):  
Lin Wang ◽  
Silvia Liu ◽  
Ying Ding ◽  
Shin-sheng Yuan ◽  
Yen-Yi Ho ◽  
...  

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