LncRNA DUXAP8 as a prognostic biomarker for various cancers: A meta-analysis and bioinformatics analysis

Yongfeng Wang; Xianglai Jiang; Dongzhi Zhang; Yuanbin Zhao; Xiaoyong Han; Lihui Zhu; Jingyao Ren; Yubin Liu; Jiarong You; Haolan Wang; Hui Cai

doi:10.3389/fgene.2022.907774

LncRNA DUXAP8 as a prognostic biomarker for various cancers: A meta-analysis and bioinformatics analysis

Front Genet. 2022 Aug 15:13:907774. doi: 10.3389/fgene.2022.907774. eCollection 2022.

Authors

Yongfeng Wang^{1

2

3

4

5}, Xianglai Jiang^{1

2}, Dongzhi Zhang^{1

2}, Yuanbin Zhao⁵, Xiaoyong Han^{1

2}, Lihui Zhu^{1

2}, Jingyao Ren^{1

2}, Yubin Liu⁵, Jiarong You⁵, Haolan Wang², Hui Cai^{2

3

4

5}

Affiliations

¹ Graduate School, Ning Xia Medical University, Yinchuan, China.
² General Surgery Clinical Medical Center, Gansu Provincial Hospital, Lanzhou, China.
³ Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Provincial Hospital, Gansu, China.
⁴ NHC Key Laboratory of Diagnosis and Therapy of Gastrointestinal Tumor, Gansu Provincial Hospital, Lanzhou, China.
⁵ The First Clinical Medical College of Lanzhou University, Lanzhou, China.

Abstract

Background: Dual homeoboxes A pseudogene 8 (DUXAP8) is a newly discovered long noncoding RNA that has been shown to function as an oncogene in a variety of human malignant cancers. By integrating available data, this meta-analysis sought to determine the relationship between clinical prognosis and DUXAP8 expression levels in diverse malignancies. Materials and methods: A systematic search was performed to identify eligible studies from several electronic databases from their inception to 25 October 2021. Pooled odds ratios and hazard ratios with 95% CI were used to estimate the association between DUXAP8 expression and survival. For survival analysis, the Kaplan-Meier method and COX analysis were used. Furthermore, we utilized Spearman's correlation analysis to explore the correlation between DUXAP8 and tumor mutational burden (TMB), microsatellite instability (MSI), the related genes of mismatch repair (MMR), DNA methyltransferases (DNMTs), and immune checkpoint biomarkers. Results: Our findings indicated that overexpression of DUXAP8 was related to poor overall survival (OS) (HR = 1.63, 95% CI, 1.49-1.77, p < 0.001). In addition, elevated DUXAP8 expression was closely related to poor OS in several cancers in the TCGA database. Moreover, DUXAP8 expression has been associated with TMB, MSI, and MMR in a variety of malignancies. Conclusion: This study revealed that DUXAP8 might serve as a prognostic biomarker and potential therapeutic target for cancer. It can be used to improve cancer diagnosis, discover potential treatment targets, and improve prognosis.

Keywords: DUXAP8; bioinformatics analysis; cancers; long noncoding RNA; prognosis.