Gut Dysbiosis and Fecal Calprotectin Predict Response to Immune Checkpoint Inhibitors in Patients With Hepatocellular Carcinoma

被引:43
|
作者
Ponziani, Francesca Romana [1 ,2 ]
De Luca, Angela [1 ]
Picca, Anna [3 ,4 ,5 ]
Marzetti, Emanuele [3 ]
Petito, Valentina [1 ,2 ]
Del Chierico, Federica [6 ]
Reddel, Sofia [6 ]
Paroni Sterbini, Francesco [7 ]
Sanguinetti, Maurizio [2 ,7 ]
Putignani, Lorenza [8 ,9 ]
Gasbarrini, Antonio [1 ,2 ]
Pompili, Maurizio [1 ,2 ]
机构
[1] Fdn Policlin Univ Agostino Gemelli IRCCS, Internal Med & Gastroenterol, Hepatol Unit, Via Pineta Sacchetti 217, I-00168 Rome, Italy
[2] Univ Cattolica Sacro Cuore, Rome, Italy
[3] Fdn Policlin Univ Agostino Gemelli IRCCS, Dept Geriatr Neurosci & Orthoped, Rome, Italy
[4] Karolinska Inst, Dept Neurobiol Care Sci & Soc, Aging Res Ctr, Stockholm, Sweden
[5] Stockholm Univ, Stockholm, Sweden
[6] Bambino Gesu Childrens Hosp IRCCS, Unit Human Microbiome, Area Genet & Rare Dis, Rome, Italy
[7] Fdn Policlin Univ Agostino Gemelli IRCCS, Microbiol Unit, Rome, Italy
[8] Bambino Gesu Pediat Hosp, IRCCS, Unit Parasitol, Dept Labs, Rome, Italy
[9] Bambino Gesu Pediat Hosp, IRCCS, Unit Human Microbiome, Area Genet & Rare Dis, Rome, Italy
关键词
D O I
10.1002/hep4.1905
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
The gut microbiota is a well-known prognostic factor and a modulator of treatment sensitivity in patients with cancers treated with immune checkpoint inhibitors. However, data on hepatocellular carcinoma (HCC) are lacking. This study aimed to evaluate the prognostic role of the gut microbiota and changes produced by immunotherapy on the intestinal environment in patients with cirrhosis and HCC. Eleven patients treated with Tremelimumab and/or Durvalumab were included in the analysis. All study participants underwent gut microbiota profiling, quantification of fecal calprotectin, serum levels of zonulin-1, lipopolysaccharide binding protein (LBP), and programmed death-ligand 1 (PD-L1) at baseline and at each treatment cycle until the third cycle, then every three cycles until treatment discontinuation or last visit. The 6 patients who achieved disease control (DC) showed lower pretreatment fecal calprotectin (median, 12.5; interquartile range [IQR], 5-29 vs. median, 116; IQR, 59-129 mu g/g; P = 0.047) and PD-L1 serum levels (median, 0.08; IQR, 0.07-0.09 vs. median, 1.04; IQR, 0.17-1.95 ng/mL; P = 0.02) than nonresponders. The relative abundance of Akkermansia (log2 fold change [FC], 2.72; adjusted P [Padj] = 0.012) was increased, whereas that of Enterobacteriaceae (log2 FC, -2.34; Padj = 0.04) was reduced in the DC group. During treatment, fecal calprotectin showed a temporal evolution opposite to the Akkermansia to Enterobacteriaceae ratio and gut microbiota alpha diversity, but similar to zonulin-1 and LBP. Bifidobacterium had a stable behavior in patients with a long follow-up, while Akkermansia was more variable. Akkermansia and Bifidobacterium showed similar temporal patterns and causative relationships with Prevotella, Veillonella, Ruminococcus, Roseburia, Lachnospira, Faecalibacterium, and Clostridium. Conclusion: A favorable composition of the gut microbiota and low intestinal inflammation are associated with achieving DC. The intestinal environment changes dynamically during therapy.
引用
收藏
页码:1492 / 1501
页数:10
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