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Authors Liu C, Wang W, Meng XY, Sun B, Cong Y, Liu JN, Wang Q, Liu GX, Wu SK
Received 10 December 2017
Accepted for publication 25 January 2018
Published 12 April 2018 Volume 2018:11 Pages 2131—2139
DOI https://doi.org/10.2147/OTT.S159481
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Cristina Weinberg
Peer reviewer comments 2
Editor who approved publication: Dr Carlos Vigil Gonzales
Background: Previous studies have demonstrated the prognostic value of globulin
(GLB), albumin (ALB), the ALB/GLB ratio (AGR), body mass index (BMI),
hemoglobin (Hb), and prognostic nutritional index (PNI) in breast cancer. The
underlying mechanism has been investigated by examining the impact of
nutritional parameters on T cells, natural killer cells, and dendritic cells,
but little is known about their effect on checkpoint molecules.
Methods: Here, we investigated the correlation of mRNA expression of
programmed cell death protein 1 (PD-1), cluster of differentiation 28 (CD28),
cytotoxic T-lymphocyte antigen-4 (CTLA-4), and cluster of differentiation 25
(CD25) with AGR, ALB, GLB, total protein, pre-ALB, Hb, BMI, and PNI in the
peripheral blood of breast cancer patients. One hundred and three patients and
21 age- and sex-matched healthy controls were enrolled. Quantitative real-time
PCR was used to test relative mRNA expression.
Results: The results indicated that the mRNA levels of PD-1 and CD25 were
5.2- and 3.3-fold higher in patients with low AGR than in those with high AGR (P < 0.05). The mRNA levels
of PD-1 were 3.5-fold higher in patients with high GLB than in those with low
GLB (P < 0.05). In addition,
breast cancer patients had higher expression levels of PD-1, CD28, CTLA-4, and
CD25 mRNA in their peripheral blood compared with healthy volunteers (P < 0.05).
Conclusion: These results suggest that AGR is negatively correlated with PD-1 and
CD25 mRNA levels, while GLB is positively associated with PD-1 mRNA levels.
Nutritional status in breast cancer patients may influence the PD-1 pathway and
have implications for the optimization of cancer therapy.
Keywords: nutrition, AGR, globulin, immune checkpoint, PD-1, CTLA-4, breast
cancer