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Research Paper|Volume 16, Issue 1|pp 872—910

XRCC1: a potential prognostic and immunological biomarker in LGG based on systematic pan-cancer analysis

Guobing Wang1,2, Yunyue Li3, Rui Pan4, Xisheng Yin4, Congchao Jia4, Yuchen She4, Luling Huang5, Guanhu Yang6, Hao Chi4, Gang Tian1
  • 1Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China
  • 2Medical Clinical Laboratory, Yibin Hospital of T.C.M, Yibin, China
  • 3Queen Mary College, Medical School of Nanchang University, Nanchang, China
  • 4Clinical Medical College, Southwest Medical University, Luzhou, China
  • 5Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
  • 6Department of Specialty Medicine, Ohio University, Athens, OH 45701, USA
* Equal contribution and share first authorship
Received: June 26, 2023Accepted: December 1, 2023Published: January 12, 2024

Copyright: © 2024 Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

X-ray repair cross-complementation group 1 (XRCC1) is a pivotal contributor to base excision repair, and its dysregulation has been implicated in the oncogenicity of various human malignancies. However, a comprehensive pan-cancer analysis investigating the prognostic value, immunological functions, and epigenetic associations of XRCC1 remains lacking. To address this knowledge gap, we conducted a systematic investigation employing bioinformatics techniques across 33 cancer types. Our analysis encompassed XRCC1 expression levels, prognostic and diagnostic implications, epigenetic profiles, immune and molecular subtypes, Tumor Mutation Burden (TMB), Microsatellite Instability (MSI), immune checkpoints, and immune infiltration, leveraging data from TCGA, GTEx, CELL, Human Protein Atlas, Ualcan, and cBioPortal databases. Notably, XRCC1 displayed both positive and negative correlations with prognosis across different tumors. Epigenetic analysis revealed associations between XRCC1 expression and DNA methylation patterns in 10 cancer types, as well as enhanced phosphorylation. Furthermore, XRCC1 expression demonstrated associations with TMB and MSI in the majority of tumors. Interestingly, XRCC1 gene expression exhibited a negative correlation with immune cell infiltration levels, except for a positive correlation with M1 and M2 macrophages and monocytes in most cancers. Additionally, we observed significant correlations between XRCC1 and immune checkpoint gene expression levels. Lastly, our findings implicated XRCC1 in DNA replication and repair processes, shedding light on the precise mechanisms underlying its oncogenic effects. Overall, our study highlights the potential of XRCC1 as a prognostic and immunological pan-cancer biomarker, thereby offering a novel target for tumor immunotherapy.