Characterization of gut microbiota in patients with primary hepatocellular carcinoma received immune checkpoint inhibitors: A Chinese population-based study

From BugSigDB
Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-21
Quality issues
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Li L, Ye J
Journal
Medicine
Year
2020
Hepatocellular carcinoma (HCC) is one of the most common neoplasms encountered, and its incidence is increasing worldwide. In this study, we explored the characteristics of gut microbiota in patients with primary hepatocellular carcinoma in advanced stage who received immune checkpoint inhibitors (ICIs) based on a large population with hepatitis B virus infection. An initial cohort of 65 patients with metastatic melanoma were included in this study. All patients were treated with ICIs at Fujian provincial geriatric hospital between August 2016 and June 2018. The 16S rDNA V4 region was amplified by Polymerase chain reaction and sequenced on the MiSeq platform. We found that the diversities of the gut microbiota in HCC who received ICIs were obviously increased. Negative feedback, which is controlled by interplay between microbial metabolic activities and host pathways, is thought to promote high bacterial diversity. We focused on the Faecalibacterium genus in response group, and Bacteroidales order in non-response group, and stratified patients into high versus low categories based on the median relative abundance of these taxa in the gut microbiome. Patients with high Faecalibacterium abundance had a significantly prolonged PFS versus those with a low abundance. Conversely, patients with a high abundance of Bacteroidales had a shortened progressive free survival compared to those with a low abundance. In summary, the present study examined the oral and gut microbiome of HCC patients undergoing immune checkpoint inhibitors immunotherapy. Significant differences were observed in the diversity and composition of the patient gut microbiome of responders versus non-responders.

Experiment 1


Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-21

Curated date: 2022/07/15

Curator: Sharmilac

Revision editor(s): WikiWorks, LGeistlinger, Fatima, Sharmilac, Peace Sandy, ChiomaBlessing

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Response to immunochemotherapy Response to immunochemotherapy,response to immunochemotherapy
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Non-responders
Group 1 name Corresponds to the case (exposed) group for case-control studies
Responders
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Patients in the clinical response group treated by immune checkpoint inhibitors therapy (defined by radiographic evidence of complete response, partial response or stable disease per RECIST 1.1 criteria for at least 6 months)

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V4
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
increased

Signature 1

Reviewed Marked as Reviewed by Fatima on 2022/08/17

Curated date: 2022/07/15

Curator: Sharmilac

Revision editor(s): Sharmilac, Fatima

Source: Figure 1b

Description: Compositional differences in the gut microbiome are associated with responses to anti-PD-1 immunotherapy.

Abundance in Group 1: increased abundance in Responders

NCBI Quality ControlLinks
Clostridia
Faecalibacterium
Faecalibacterium prausnitzii
Bacillota
Micrococcaceae
Mollicutes
Oscillospiraceae
Peptoniphilus
Phascolarctobacterium
Phascolarctobacterium faecium
Porphyromonas pasteri
Rothia
Ruminiclostridium hungatei
Ruminococcus
Ruminococcus bromii
Veillonellaceae
Eubacteriales

Revision editor(s): Sharmilac, Fatima

Signature 2

Reviewed Marked as Reviewed by Fatima on 2022/08/17

Curated date: 2022/07/21

Curator: Sharmilac

Revision editor(s): Sharmilac, Fatima

Source: Figure 1b

Description: Compositional differences in the gut microbiome are associated with responses to anti-PD-1 immunotherapy.

Abundance in Group 1: decreased abundance in Responders

NCBI Quality ControlLinks
Bacteroidales
Bacteroidota
Bacteroidia
Collinsella stercoris
Bacteroides mediterraneensis
Oleidesulfovibrio alaskensis
Prevotella histicola
Gardnerella vaginalis
Gardnerella

Revision editor(s): Sharmilac, Fatima

Experiment 2


Reviewed Marked as Reviewed by ChiomaBlessing on 2023-12-21

Curated date: 2023/12/21

Curator: ChiomaBlessing

Revision editor(s): ChiomaBlessing

Differences from previous experiment shown

Subjects

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Buccal mucosa Buccal mucosa,buccal mucosa


Lab analysis

Statistical Analysis

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
increased