Background:
Ribonucleoside-diphosphate reductase subunit M2 (
RRM2
) is the catalytic subunit of ribonucleotide reductase and modulates the enzymatic activity, which is essential for DNA replication and repair. However, the role of
RRM2
in lung adenocarcinoma (LUAD) remains unclear.
Methods:
In this study, we explored the expression pattern and prognostic value of
RRM2
in LUAD across TCGA, GEO, Oncomine, UALCAN, PrognoScan, and Kaplan-Meier Plotter, and confirmed its independent prognostic value via Cox analyses. LinkedOmics and GEPIA2 were applied to investigate co-expression and functional networks associated with
RRM2
. Besides, we used TIMER to assess the correlation between
RRM2
and the main six types of tumor-infiltrating immune cells. Lastly, the correlations between immune signatures of immunomodulators, chemokines, and 28 tumor-infiltrating lymphocytes (TILs) and
RRM2
were examined by tumor purity-corrected partial Spearman's rank correlation coefficient through TIMER portal.
Results:
RRM2
was found upregulated in tumor tissues in TCGA-LUAD, and validated in multiple independent cohorts. Moreover, whether in TCGA or other cohorts, high
RRM2
expression was found to be associated with poor survival. Cox analyses showed that high
RRM2
expression was an independent risk factor for overall survival, disease-specific survival, and progression-free survival of LUAD. Functional network analysis suggested that
RRM2
regulates RNA transport, oocyte meiosis, spliceosome, ribosome biogenesis in eukaryotes, and cellular senescence signaling through pathways involving multiple cancer-related kinases and E2F family. Also,
RRM2
expression correlated with infiltrating levels of B cells, CD4+ T cells, and neutrophils. Subsequent analysis found that B cells and dendritic cells could predict the outcome of LUAD. B cells were identified as an independent risk factor among six types of immune cells through Cox analyses. At last, the correlation analysis showed
RRM2
correlated with 67.68% (624/922) of the immune signatures we performed.
Conclusion:
Our research showed that
RRM2
could independently predict the prognosis of LUAD and was associated with immune infiltration. In particular, the tight relationship between
RRM2
and B cell marker genes are the potential epicenter of the immune response and one of the critical factors affecting the prognosis. Our findings laid the foundation for further research on the immunomodulatory role of
RRM2
in LUAD.