Ral GEF with the PH Domain and SH3 Binding Motif 1 Regulated by Splicing Factor Junction Plakoglobin and Pyrimidine Metabolism Are Prognostic in Uterine Carcinosarcoma

Author:

Guo Hongjun1,Wang Siqiao23,Xie Aiqing4,Sun Wenhuizi5,Wei Chenlu1,Xian Shuyuan3,Yin Huabin6,Li Mingxiao1ORCID,Sun Hanlin1,Li Hong1,Meng Tong67,Zhang Jie23,Huang Zongqiang18ORCID

Affiliation:

1. Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, 1 East Jianshe Road, Zhengzhou, China

2. Division of Spine, Department of Orthopedics, Tongji Hospital Affiliated to Tongji University School of Medicine, 389 Xincun Road, Shanghai, China

3. Tongji University School of Medicine, 1239 Siping Road, Shanghai 200092, China

4. School of Ocean and Earth Science, Tongji University, 1239 Siping Road, Shanghai 200092, China

5. Department of Gynaecology, Tongji Hospital Affiliated to Tongji University School of Medicine, 389 Xincun Road, Shanghai, China

6. Department of Orthopedics, Shanghai General Hospital, School of Medicine, Shanghai Jiaotong University, 100 Haining Road, Shanghai, China

7. Tongji University Cancer Center, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai 200072, China

8. Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, 1 East Jianshe Road, Zhengzhou, China

Abstract

Uterine carcinosarcoma (UCS) is a highly invasive malignant tumor that originated from the uterine epithelium. Many studies suggested that the abnormal changes of alternative splicing (AS) of pre-mRNA are related to the occurrence and metastasis of the tumor. This study investigates the mechanism of alternative splicing events (ASEs) in the tumorigenesis and metastasis of UCS. RNA-seq of UCS samples and alternative splicing event (ASE) data of UCS samples were downloaded from The Cancer Genome Atlas (TCGA) and TCGASpliceSeq databases, several times. Firstly, we performed the Cox regression analysis to identify the overall survival-related alternative splicing events (OSRASEs). Secondly, a multivariate model was applied to approach the prognostic values of the risk score. Afterwards, a coexpressed network between splicing factors (SFs) and OSRASEs was constructed. In order to explore the relationship between the potential prognostic signaling pathways and OSRASEs, we fabricated a network between these pathways and OSRASEs. Finally, validations from multidimension platforms were used to explain the results unambiguously. 1,040 OSRASEs were identified by Cox regression. Then, 6 OSRASEs were incorporated in a multivariable model by Lasso regression. The area under the curve (AUC) of the receiver operator characteristic (ROC) curve was 0.957. The risk score rendered from the multivariate model was corroborated to be an independent prognostic factor ( P < 0.001 ). In the network of SFs and ASEs, junction plakoglobin (JUP) noteworthily regulated RALGPS1-87608-AT ( P < 0.001 , R = 0.455 ). Additionally, RALGPS1-87608-AT ( P = 0.006 ) showed a prominent relationship with distant metastasis. KEGG pathways related to prognosis of UCS were selected by gene set variation analysis (GSVA). The pyrimidine metabolism ( P < 0.001 , R = 0.470 ) was the key pathway coexpressed with RALGPS1. We considered that aberrant JUP significantly regulated RALGPS1-87608-AT and the pyrimidine metabolism pathway might play a significant part in the metastasis and prognosis of UCS.

Funder

Key Project of Provincial and Ministerial Co-construction of Henan Medical Science and Technology

Publisher

Hindawi Limited

Subject

Biochemistry (medical),Clinical Biochemistry,Genetics,Molecular Biology,General Medicine

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