Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in context
Background: Oral squamous cell carcinoma (OSCC) is one of the most common malignant tumors worldwide. Patients with poorly differentiated OSCC often exhibit a poor prognosis. AUNIP (Aurora Kinase A and Ninein Interacting Protein), also known as AIBp, plays a key role in cell cycle and DNA damage rep...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019-09-01
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| Series: | EBioMedicine |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396419305298 |
| _version_ | 1828845005441073152 |
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| author | Zongcheng Yang Xiuming Liang Yue Fu Yingjiao Liu Lixin Zheng Fen Liu Tongyu Li Xiaolin Yin Xu Qiao Xin Xu |
| author_facet | Zongcheng Yang Xiuming Liang Yue Fu Yingjiao Liu Lixin Zheng Fen Liu Tongyu Li Xiaolin Yin Xu Qiao Xin Xu |
| author_sort | Zongcheng Yang |
| collection | DOAJ |
| description | Background: Oral squamous cell carcinoma (OSCC) is one of the most common malignant tumors worldwide. Patients with poorly differentiated OSCC often exhibit a poor prognosis. AUNIP (Aurora Kinase A and Ninein Interacting Protein), also known as AIBp, plays a key role in cell cycle and DNA damage repair. However, the function of AUNIP in OSCC remains elusive. Methods: The differentially expressed genes (DEGs) were obtained using R language. Receiver operating characteristic curve analysis was performed to identify diagnostic markers for OSCC. The effectiveness of AUNIP in diagnosing OSCC was evaluated by machine learning. AUNIP expression was analyzed in publicly available databases and clinical specimens. Bioinformatics analysis and in vitro experiments were conducted to explore biological functions and prognostic value of AUNIP in OSCC. Findings: The gene integration analysis revealed 90 upregulated DEGs. One candidate biomarker, AUNIP, for the diagnosis of OSCC was detected, and its expression gradually increased along with malignant differentiation of OSCC. Bioinformatics analysis demonstrated that AUNIP could be associated with tumor microenvironment, human papillomavirus infection, and cell cycle in OSCC. The suppression of AUNIP inhibited OSCC cell proliferation and resulted in G0/G1 phase arrest in OSCC cells. The survival analysis showed that AUNIP overexpression predicted poor prognosis of OSCC patients.Interpretation: AUNIP could serve as a candidate diagnostic and prognostic biomarker for OSCC and suppression of AUNIP may be a potential approach to preventing and treating OSCC. Fund: Taishan Scholars Project in Shandong Province (ts201511106) and the National Natural Science Foundation of China (Nos. 61603218). Keywords: Oral squamous cell carcinoma, Receiver operating characteristic curve, Biomarker, Weighted gene co-expression network analysis, Survival analysis, AUNIP |
| first_indexed | 2024-12-12T21:18:44Z |
| format | Article |
| id | doaj.art-b1a17feeefbe4f6bbdbd30a9f3977cd7 |
| institution | Directory Open Access Journal |
| issn | 2352-3964 |
| language | English |
| last_indexed | 2024-12-12T21:18:44Z |
| publishDate | 2019-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EBioMedicine |
| spelling | doaj.art-b1a17feeefbe4f6bbdbd30a9f3977cd72022-12-22T00:11:40ZengElsevierEBioMedicine2352-39642019-09-01474457Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in contextZongcheng Yang0Xiuming Liang1Yue Fu2Yingjiao Liu3Lixin Zheng4Fen Liu5Tongyu Li6Xiaolin Yin7Xu Qiao8Xin Xu9School of Stomatology, Shandong University, Jinan, Shandong 250012, PR China; Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Jinan, Shandong 250012, PR ChinaDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of BasicMedical Science, Shandong University, Jinan, Shandong 250012, PR China; Shandong University, Karolinska Institutet Collaborative Laboratory for Cancer Research, Jinan, Shandong 250012, PR ChinaDepartment of Hematology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, PR ChinaSchool of Philosophy, Psychology and Language Sciences, College of Humanities and Social Science, The University of Edinburgh, Edinburgh EH8 9AD, United KingdomDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of BasicMedical Science, Shandong University, Jinan, Shandong 250012, PR ChinaDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of BasicMedical Science, Shandong University, Jinan, Shandong 250012, PR ChinaDepartment of Microbiology, Key Laboratory for Experimental Teratology of the Chinese Ministry of Education, School of BasicMedical Science, Shandong University, Jinan, Shandong 250012, PR ChinaDepartment of Hematology, Qilu Hospital, Shandong University, Jinan, Shandong 250012, PR ChinaSchool of Control Science and Engineering, Shandong University, Jinan, Shandong 250012, PR China; Correspondence to: X. Qiao, School of Control Science and Engineering, Shandong University, NO. 17923, Jingshi Road, Jinan, Shandong 250012, PR China.School of Stomatology, Shandong University, Jinan, Shandong 250012, PR China; Shandong Provincial Key Laboratory of Oral Tissue Regeneration, Jinan, Shandong 250012, PR China; Correspondence to: X. Xu, School of Stomatology, Shandong University, NO. 44-1, Wenhua Xi Road, Jinan, Shandong 250012, PR China.Background: Oral squamous cell carcinoma (OSCC) is one of the most common malignant tumors worldwide. Patients with poorly differentiated OSCC often exhibit a poor prognosis. AUNIP (Aurora Kinase A and Ninein Interacting Protein), also known as AIBp, plays a key role in cell cycle and DNA damage repair. However, the function of AUNIP in OSCC remains elusive. Methods: The differentially expressed genes (DEGs) were obtained using R language. Receiver operating characteristic curve analysis was performed to identify diagnostic markers for OSCC. The effectiveness of AUNIP in diagnosing OSCC was evaluated by machine learning. AUNIP expression was analyzed in publicly available databases and clinical specimens. Bioinformatics analysis and in vitro experiments were conducted to explore biological functions and prognostic value of AUNIP in OSCC. Findings: The gene integration analysis revealed 90 upregulated DEGs. One candidate biomarker, AUNIP, for the diagnosis of OSCC was detected, and its expression gradually increased along with malignant differentiation of OSCC. Bioinformatics analysis demonstrated that AUNIP could be associated with tumor microenvironment, human papillomavirus infection, and cell cycle in OSCC. The suppression of AUNIP inhibited OSCC cell proliferation and resulted in G0/G1 phase arrest in OSCC cells. The survival analysis showed that AUNIP overexpression predicted poor prognosis of OSCC patients.Interpretation: AUNIP could serve as a candidate diagnostic and prognostic biomarker for OSCC and suppression of AUNIP may be a potential approach to preventing and treating OSCC. Fund: Taishan Scholars Project in Shandong Province (ts201511106) and the National Natural Science Foundation of China (Nos. 61603218). Keywords: Oral squamous cell carcinoma, Receiver operating characteristic curve, Biomarker, Weighted gene co-expression network analysis, Survival analysis, AUNIPhttp://www.sciencedirect.com/science/article/pii/S2352396419305298 |
| spellingShingle | Zongcheng Yang Xiuming Liang Yue Fu Yingjiao Liu Lixin Zheng Fen Liu Tongyu Li Xiaolin Yin Xu Qiao Xin Xu Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in context EBioMedicine |
| title | Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in context |
| title_full | Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in context |
| title_fullStr | Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in context |
| title_full_unstemmed | Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in context |
| title_short | Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaResearch in context |
| title_sort | identification of aunip as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinomaresearch in context |
| url | http://www.sciencedirect.com/science/article/pii/S2352396419305298 |
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