<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Luo D</submitter><funding>Key Research and Development Program of Hunan Province of China</funding><pagination>240</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12492736</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>24(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Recent studies suggest that intratumoral microbiome and altered metabolic networks play crucial roles in pancreatic cancer (PC) progression. However, the precise interplay between microbial communities and tumor metabolism in PC remains poorly understood. This study aims to investigate the impact of the intratumoral microbiome, the metabolic landscape, and their interactions on PC development.&lt;h4>Methods&lt;/h4>16S rDNA sequencing and Untargeted metabolomic profiling were performed on 47 paired pancreatic cancer and adjacent normal tissues to analyze their intratumoral microbiome and metabolic landscapes. Bioinformatics tools were used to conduct differential microbiome abundance analysis and pathway enrichment. A correlation analysis was performed to identify key microbiot</pubmed_abstract><journal>Molecular cancer</journal><pubmed_title>Microbiome-metabolome interplay in pancreatic cancer progression: insights from multi-omics analysis.</pubmed_title><pmcid>PMC12492736</pmcid><funding_grant_id>2024JK2111</funding_grant_id><pubmed_authors>Chen Q</pubmed_authors><pubmed_authors>Li Y</pubmed_authors><pubmed_authors>Yang J</pubmed_authors><pubmed_authors>Tao Y</pubmed_authors><pubmed_authors>Ji L</pubmed_authors><pubmed_authors>Gong X</pubmed_authors><pubmed_authors>Luo D</pubmed_authors></additional><is_claimable>false</is_claimable><name>Microbiome-metabolome interplay in pancreatic cancer progression: insights from multi-omics analysis.</name><description>&lt;h4>Background&lt;/h4>Recent studies suggest that intratumoral microbiome and altered metabolic networks play crucial roles in pancreatic cancer (PC) progression. However, the precise interplay between microbial communities and tumor metabolism in PC remains poorly understood. This study aims to investigate the impact of the intratumoral microbiome, the metabolic landscape, and their interactions on PC development.&lt;h4>Methods&lt;/h4>16S rDNA sequencing and Untargeted metabolomic profiling were performed on 47 paired pancreatic cancer and adjacent normal tissues to analyze their intratumoral microbiome and metabolic landscapes. Bioinformatics tools were used to conduct differential microbiome abundance analysis and pathway enrichment. A correlation analysis was performed to identify key microbiot</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Oct</publication><modification>2026-06-04T02:36:39.684Z</modification><creation>2026-05-31T03:06:56.765Z</creation></dates><accession>S-EPMC12492736</accession><cross_references><pubmed>41039548</pubmed><doi>10.1186/s12943-025-02458-9</doi></cross_references></HashMap>