IDDF2024-ABS-0281 Gram-negative bacteria and endotoxins recruit M-MDSCs and promote hepatocellular carcinoma

<h3>Background</h3> Different experimental techniques were used to search for evidence of bacteria in HCC. LPS/TLR4/CCL2/CCR2/M-MDSCs hypothesis was proposed using TCGA and transcriptome sequencing data. Combined with cells, animal models and clinical samples confirmed that Gram’s negative bacteria and endotoxins affect the immune microenvironment of HCC and promote the development of HCC through this mechanism. <h3>Methods</h3> (1) The presence of bacteria was verified in HCC by different experimental techniques. (2) LPS<sup>Low</sup> and LPS<sup>High</sup> groups were distinguished according to the strength of LPS staining. Kaplan-Meier was used to analyze the survival difference between the two groups, and 16S rDNA sequencing was used to analyze the difference in bacterial community. (3) Differences of CD33 and CD8 expression between LPS<sup>Low</sup> and LPS<sup>High</sup> groups were verified by WB and IF in 30 fresh HCC tissues. FCM was used to verify the difference of MDSCs between LPS<sup>Low</sup> and LPS<sup>High</sup>. (5) <h3>Results</h3> (1) LPS were found in 93 HCC pathological sections (IDDF2024-ABS-0281 Figure 1) and were located in the cytoplasm of immune cells and non-immune cells. 16S rRNA signal was found in HCC (IDDF2024-ABS-0281 Figure 2). 40956 OTUs were obtained by 16S rDNA sequencing for HCC and paracancer. Culture omics found that 57% of the HCC samples were positive (IDDF2024-ABS-0281 Figure 3). (2) The prognosis of HCC patients in the LPS<sup>High</sup> group was poor. The EUB338 probe signal of the LPS<sup>High</sup> group was strong. Combined with TCGA data, TLR4 was positively correlated with CCL2, CCR2, and CD33 expression (IDDF2024-ABS-0281 Figure 4). IHC (IDDF2024-ABS-0281 Figure 5) and WB(Fig. 6) verified the relation of CD33 and CD8. The abundance of <i>Proteobacteria</i> in the LPS<sup>High</sup> group increased, while the abundance of <i>Lactobacillus</i> decreased. FCM showed that MDSCs in the LPSHigh group were higher (IDDF2024-ABS-0281 Figure 6). <h3>Conclusions</h3> Gram-negative bacteria and endotoxins in HCC affect the growth and prognosis of HCC through LPS/TLR4/CCL2/CCR2/M-MDSCs. The relative abundance of <i>Proteobacteria</i> in the LPSHigh group increased, and <i>Lactobacillus</i> decreased in human HCC. In the HCC model constructed by DEN combined with CCL<sub>4</sub>, neomycin treatment decreased the relative abundance of <i>Proteobacteria</i> and increased the relative abundance of <i>Lactobacillus</i>. Targeting this path becomes a new method for HCC.

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Published
2024-08-01
DOI
https://doi.org/10.1136/gutjnl-2024-iddf.197
Primary Topic
Immune cells in cancer
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article

IDDF2024-ABS-0281 Gram-negative bacteria and endotoxins recruit M-MDSCs and promote hepatocellular carcinoma

Jing Yang, Liang‐Jie Zhang, Yuqiang Nie, Youlian Zhou et al.
Immune cells in cancer
article

IDDF2024-ABS-0281 Gram-negative bacteria and endotoxins recruit M-MDSCs and promote hepatocellular carcinoma

Jing Yang, Liang‐Jie Zhang, Yuqiang Nie, Youlian Zhou, Weiwei Xu, Yong Zhang, HaoMing Xu, HaiLan Zhao
article en

Abstract

<h3>Background</h3> Different experimental techniques were used to search for evidence of bacteria in HCC. LPS/TLR4/CCL2/CCR2/M-MDSCs hypothesis was proposed using TCGA and transcriptome sequencing data. Combined with cells, animal models and clinical samples confirmed that Gram’s negative bacteria and endotoxins affect the immune microenvironment of HCC and promote the development of HCC through this mechanism. <h3>Methods</h3> (1) The presence of bacteria was verified in HCC by different experimental techniques. (2) LPS<sup>Low</sup> and LPS<sup>High</sup> groups were distinguished according to the strength of LPS staining. Kaplan-Meier was used to analyze the survival difference between the two groups, and 16S rDNA sequencing was used to analyze the difference in bacterial community. (3) Differences of CD33 and CD8 expression between LPS<sup>Low</sup> and LPS<sup>High</sup> groups were verified by WB and IF in 30 fresh HCC tissues. FCM was used to verify the difference of MDSCs between LPS<sup>Low</sup> and LPS<sup>High</sup>. (5) <h3>Results</h3> (1) LPS were found in 93 HCC pathological sections (IDDF2024-ABS-0281 Figure 1) and were located in the cytoplasm of immune cells and non-immune cells. 16S rRNA signal was found in HCC (IDDF2024-ABS-0281 Figure 2). 40956 OTUs were obtained by 16S rDNA sequencing for HCC and paracancer. Culture omics found that 57% of the HCC samples were positive (IDDF2024-ABS-0281 Figure 3). (2) The prognosis of HCC patients in the LPS<sup>High</sup> group was poor. The EUB338 probe signal of the LPS<sup>High</sup> group was strong. Combined with TCGA data, TLR4 was positively correlated with CCL2, CCR2, and CD33 expression (IDDF2024-ABS-0281 Figure 4). IHC (IDDF2024-ABS-0281 Figure 5) and WB(Fig. 6) verified the relation of CD33 and CD8. The abundance of <i>Proteobacteria</i> in the LPS<sup>High</sup> group increased, while the abundance of <i>Lactobacillus</i> decreased. FCM showed that MDSCs in the LPSHigh group were higher (IDDF2024-ABS-0281 Figure 6). <h3>Conclusions</h3> Gram-negative bacteria and endotoxins in HCC affect the growth and prognosis of HCC through LPS/TLR4/CCL2/CCR2/M-MDSCs. The relative abundance of <i>Proteobacteria</i> in the LPSHigh group increased, and <i>Lactobacillus</i> decreased in human HCC. In the HCC model constructed by DEN combined with CCL<sub>4</sub>, neomycin treatment decreased the relative abundance of <i>Proteobacteria</i> and increased the relative abundance of <i>Lactobacillus</i>. Targeting this path becomes a new method for HCC.

Guangzhou First People's Hospital (CN), First Affiliated Hospital of Bengbu Medical College (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 84%
Immune cells in cancer
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