Gut dysbiosis in Thai intrahepatic cholangiocarcinoma and hepatocellular carcinoma
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Y. Pomyen | C. Loffredo | C. Pairojkul | A. Budhu | M. Ruchirawat | N. Lertprasertsuke | S. Rabibhadana | C. Mahidol | Donlaporn Sripan | Thaniya Sricharunrat | C. Auewarakul | A. Chotirosniramit | T. Ungtrakul | Benjarath Pupacdi | K. Phornphutkul | C. Harris | J. Chaisaingmongkol | X. W. Wang | Vajarabhongsa Budhisawasdi | Suleeporn Sangrajang | Chidchanok Chornkrathok
[1] Zu-Jiang Yu,et al. Alterations in the human oral microbiome in cholangiocarcinoma , 2022, Military Medical Research.
[2] Juejin Wang,et al. Association of gut microbiome and primary liver cancer: A two‐sample Mendelian randomization and case–control study , 2022, Liver international : official journal of the International Association for the Study of the Liver.
[3] P. Prombutara,et al. Gut microbiome profiles in Thai healthy pregnant women and its association with types of foods , 2022, BMC Pregnancy and Childbirth.
[4] Bo Chen,et al. Gut microbiome alteration as a diagnostic tool and associated with inflammatory response marker in primary liver cancer , 2022, Hepatology International.
[5] Zixia Lin,et al. A Predictive Model Based on the Gut Microbiota Improves the Diagnostic Effect in Patients With Cholangiocarcinoma , 2021, Frontiers in Cellular and Infection Microbiology.
[6] W. Qu,et al. Association of Gut Microbiota and Metabolites With Disease Progression in Children With Biliary Atresia , 2021, Frontiers in Immunology.
[7] Y. Pomyen,et al. Tumor metabolism and associated serum metabolites define prognostic subtypes of Asian hepatocellular carcinoma , 2021, Scientific Reports.
[8] J. Xia,et al. MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights , 2021, Nucleic Acids Res..
[9] K. Hase,et al. Profiling of tumour-associated microbiota in human hepatocellular carcinoma , 2021, Scientific Reports.
[10] Sven Rahmann,et al. Sustainable data analysis with Snakemake , 2021, F1000Research.
[11] K. Bonham,et al. Comparative Analysis of 16S rRNA Gene and Metagenome Sequencing in Pediatric Gut Microbiomes , 2021, bioRxiv.
[12] A. Jemal,et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries , 2021, CA: a cancer journal for clinicians.
[13] Timothy L. Tickle,et al. Multivariable association discovery in population-scale meta-omics studies , 2021, bioRxiv.
[14] N. Chattipakorn,et al. Association of Chronic Opisthorchis Infestation and Microbiota Alteration on Tumorigenesis in Cholangiocarcinoma , 2020, Clinical and translational gastroenterology.
[15] Daniel J. Blankenberg,et al. Community-led, integrated, reproducible multi-omics with anvi’o , 2020, Nature Microbiology.
[16] Lin Zhou,et al. Integrated analysis of microbiome and host transcriptome reveals correlations between gut microbiota and clinical outcomes in HBV-related hepatocellular carcinoma , 2020, Genome Medicine.
[17] P. Manghi,et al. Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3 , 2020, bioRxiv.
[18] A. Sanyal,et al. The Commensal Microbe V eillonella as a Marker for Response to an FGF19 Analog in NASH , 2020, Hepatology.
[19] R. Schwabe,et al. Gut microbiome in HCC - Mechanisms, diagnosis and therapy. , 2020, Journal of hepatology.
[20] R. Irizarry. ggplot2 , 2019, Introduction to Data Science.
[21] E. Vogtmann,et al. DNA extraction for human microbiome studies: the issue of standardization , 2019, Genome Biology.
[22] Peter D. Karp,et al. The MetaCyc database of metabolic pathways and enzymes - a 2019 update , 2019, Nucleic Acids Res..
[23] Gregory J. Gores,et al. A global view of hepatocellular carcinoma: trends, risk, prevention and management , 2019, Nature Reviews Gastroenterology & Hepatology.
[24] Evgeny M. Zdobnov,et al. ATLAS: a Snakemake workflow for assembly, annotation, and genomic binning of metagenome sequence data , 2019, BMC Bioinformatics.
[25] Haiyang Li,et al. Characterization of Gut Microbiota, Bile Acid Metabolism, and Cytokines in Intrahepatic Cholangiocarcinoma , 2019, Hepatology.
[26] Jacob M. Luber,et al. Meta’omic analysis of elite athletes identifies a performance-enhancing microbe that functions via lactate metabolism , 2019, Nature Medicine.
[27] Guangxiu Liu,et al. Relationship between intestinal microbial dysbiosis and primary liver cancer. , 2019, Hepatobiliary & pancreatic diseases international : HBPD INT.
[28] Lanjuan Li,et al. Gut microbiome analysis as a tool towards targeted non-invasive biomarkers for early hepatocellular carcinoma , 2018, Gut.
[29] Christopher Wilks,et al. Scaling read aligners to hundreds of threads on general-purpose processors , 2017, bioRxiv.
[30] Y. Pomyen,et al. Common Molecular Subtypes Among Asian Hepatocellular Carcinoma and Cholangiocarcinoma. , 2017, Cancer cell.
[31] D. Huson,et al. SILVA, RDP, Greengenes, NCBI and OTT — how do these taxonomies compare? , 2017, BMC Genomics.
[32] R. Durbin,et al. Evaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assembly , 2016, bioRxiv.
[33] N. V. Merzlikin,et al. Biliary Microbiota, Gallstone Disease and Infection with Opisthorchis felineus , 2016, PLoS neglected tropical diseases.
[34] Måns Magnusson,et al. MultiQC: summarize analysis results for multiple tools and samples in a single report , 2016, Bioinform..
[35] S. Salzberg,et al. Centrifuge: rapid and sensitive classification of metagenomic sequences , 2016, bioRxiv.
[36] J. Raes,et al. Primary sclerosing cholangitis is characterised by intestinal dysbiosis independent from IBD , 2016, Gut.
[37] Bin Tean Teh,et al. Tissue Microbiome Profiling Identifies an Enrichment of Specific Enteric Bacteria in Opisthorchis viverrini Associated Cholangiocarcinoma , 2016, EBioMedicine.
[38] Tanja Woyke,et al. Metagenomics uncovers gaps in amplicon-based detection of microbial diversity , 2016, Nature Microbiology.
[39] Ahmed A. Metwally,et al. Analysis of the microbiome: Advantages of whole genome shotgun versus 16S amplicon sequencing. , 2016, Biochemical and biophysical research communications.
[40] T. Chitapanarux,et al. Risk Factors for the Development of Hepatocellular Carcinoma in Thailand , 2015, Journal of clinical and translational hepatology.
[41] M. Miwa,et al. Genetic and environmental determinants of risk for cholangiocarcinoma in Thailand. , 2014, World journal of gastrointestinal pathophysiology.
[42] Peter B. McGarvey,et al. UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches , 2014, Bioinform..
[43] Jiro Nakayama,et al. Senior Thai fecal microbiota comparison between vegetarians and non-vegetarians using PCR-DGGE and real-time PCR. , 2014, Journal of microbiology and biotechnology.
[44] Björn Usadel,et al. Trimmomatic: a flexible trimmer for Illumina sequence data , 2014, Bioinform..
[45] Yan He,et al. Comparison of microbial diversity determined with the same variable tag sequence extracted from two different PCR amplicons , 2013, BMC Microbiology.
[46] H. El‐Serag,et al. Risk factors for cholangiocarcinoma , 2011, Hepatology.
[47] C. Huttenhower,et al. Metagenomic biomarker discovery and explanation , 2011, Genome Biology.
[48] P. Bork,et al. Enterotypes of the human gut microbiome , 2011, Nature.
[49] Jelle J. Goeman,et al. A global test for groups of genes: testing association with a clinical outcome , 2004, Bioinform..
[50] Susumu Goto,et al. KEGG: Kyoto Encyclopedia of Genes and Genomes , 2000, Nucleic Acids Res..