Anti–PD-L1 Antibody and/or 17β-Estradiol Treatment Induces Changes in the Gut Microbiome in MC38 Colon Tumor Model / Journal of the Korean Cancer Association, 대한암학회지
Cancer Research and Treatment
; : 894-909, 2023.
Article
em En
| WPRIM
| ID: wpr-999801
Biblioteca responsável:
WPRO
ABSTRACT
Purpose@#17β-Estradiol (E2) supplementation suppresses MC38 tumor growth by downregulating the expression of programmed death-ligand 1 (PD-L1). This study aims to figure out the gut microbiota that respond to anti–PD-L1 and/or estrogen treatment in MC38 colon cancer model. @*Materials and Methods@#A syngeneic colon tumor model was developed by injection of MC38 cells into C57BL/6 background male and female mice. Three days before MC38 cells injection, E2 was supplemented to male mice daily for 1 week. Male and female mice with MC38 tumors (50-100 mm3) were injected with anti–PD-L1 antibody. Fresh feces were collected 26 days after injection of MC38 cells and 16S rRNA metagenomics sequencing of DNA extracted from feces was used to assess gut microbial composition. @*Results@#At the taxonomic family level, Muribaculaceae was enriched only in the MC38 male control group. In male mice, linear discriminant analysis effect size analysis at the species level revealed that the four microorganisms were commonly regulated in single and combination treatment with anti–PD-L1 and/or E2; a decrease in PAC001068_g_uc and PAC001070_s (family Muribaculaceae) and increase in PAC001716_s and PAC001785_s (family Ruminococcaceae). Interestingly, in the anti–PD-L1 plus E2 group, a decrease in opportunistic pathogens (Enterobacteriaceae group) and an increase in commensal bacteria (Lactobacillus murinus group and Parabacteroides goldsteinii) were observed. Furthermore, the abundance of Parabacteroides goldsteinii was increased in both males and females in the anti–PD-L1 group. @*Conclusion@#Our results suggest that gut microbial changes induced by the pretreatment of estrogen before anti–PD-L1 might contribute to treatment of MC38 colon cancer.
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Base de dados:
WPRIM
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En
Revista:
Cancer Research and Treatment
Ano de publicação:
2023
Tipo de documento:
Article