Dynamic biomarkers indicate the immunological benefits provided by Ganoderma spore powder in post-operative breast and lung cancer patients.

2021 
Background T lymphocyte are a strong indicator of treatment immune response. This study was aimed to determine the utility of T lymphocyte subsets, cytokines and inflammatory biomarkers in predicting the immunological benefits of Ganoderma spore powder (G. lucidum) in post-operative patients with breast and lung cancer. Methods We prospectively evaluated 120 breast and lung cancer patients with or without G. lucidum. T lymphocyte subsets with relative cytokines were detected using flow cytometry and PCR and assessed by Spearman correlation analysis. The relationships between albumin-to-globulin ratio (AGR) and neutrophil-to-lymphocyte ratio (NLR) with G. lucidum treatment and prognosis were analyzed using Kaplan-Meier and Cox regression methods. Results The prevalence of CD3 + CD4 + , CD3 + HLADR- types was higher in G. lucidum group compared to control, whilst CD4 + CD25 + Treg, CD3 + HLADR + cell types was lower. IL-12 levels were significantly higher during the treatment period which negatively impacted levels of IL-10. Other immunosuppressive factors such as COX2 and TGF-β1 had lower prevalence in treated patients. Correlation analysis showed a positive relationship between IL-10 and CD28. IL-2 was positively related to TGF-β1, whilst it was negatively related to CD3. Kaplan-Meier analysis suggested that low AGR/high NLR was related to poor progression free survival (PFS) and overall survival (OS). A combination of high AGR and low NLR may predicted treatment benefits associated with PFS and OS. Conclusions Our findings show that T lymphocyte subsets combined with relevant cytokines and AGR/NLR inflammatory predictors may help to identify patients most likely to benefit from the immunological enhancements from G. lucidum treatment.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    27
    References
    0
    Citations
    NaN
    KQI
    []