However, we found no significant differences at the endpoint and the tumor burden in the SUMOylation inhibition group showed an increasing trend compared to the NC group ( Figures 1D, E ).
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Integrated machine learning and single-cell analysis reveal the prognostic and therapeutic potential of SUMOylation-related genes in ovarian cancer.
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