<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bojmar L</submitter><funding>NCATS NIH HHS</funding><funding>NIDDK NIH HHS</funding><funding>Cancerfonden (Swedish Cancer Society)</funding><funding>NIAID NIH HHS</funding><funding>Vetenskapsrådet (Swedish Research Council)</funding><funding>NCI NIH HHS</funding><funding>Svenska Sällskapet för Medicinsk Forskning (Swedish Society for Medical Research)</funding><pagination>2170-2180</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11416063</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>30(8)</volume><pubmed_abstract>Metastasis occurs frequently after resection of pancreatic cancer (PaC). In this study, we hypothesized that multi-parametric analysis of pre-metastatic liver biopsies would classify patients according to their metastatic risk, timing and organ site. Liver biopsies obtained during pancreatectomy from 49 patients with localized PaC and 19 control patients with non-cancerous pancreatic lesions were analyzed, combining metabolomic, tissue and single-cell transcriptomics and multiplex imaging approaches. Patients were followed prospectively (median 3 years) and classified into four recurrence groups; early (&lt;6 months after resection) or late (>6 months after resection) liver metastasis (LiM); extrahepatic metastasis (EHM); and disease-free survivors (no evidence of disease (NED)). Overall, PaC</pubmed_abstract><journal>Nature medicine</journal><pubmed_title>Multi-parametric atlas of the pre-metastatic liver for prediction of metastatic outcome in early-stage pancreatic cancer.</pubmed_title><pmcid>PMC11416063</pmcid><funding_grant_id>U01 CA169538</funding_grant_id><funding_grant_id>UL1 TR002384</funding_grant_id><funding_grant_id>TG-23-0306</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>UL1 TR000457</funding_grant_id><funding_grant_id>R01 CA169416</funding_grant_id><funding_grant_id>U01 CA224175</funding_grant_id><funding_grant_id>U54 CA163117</funding_grant_id><funding_grant_id>R01 CA218513</funding_grant_id><funding_grant_id>21 1824 Pj 01 H</funding_grant_id><funding_grant_id>R01 DK121072</funding_grant_id><funding_grant_id>R01 CA234614</funding_grant_id><funding_grant_id>U54 CA163120</funding_grant_id><funding_grant_id>2021-600 02356</funding_grant_id><funding_grant_id>R35 CA232093</funding_grant_id><funding_grant_id>U01 CA210240</funding_grant_id><funding_grant_id>R50 CA211462</funding_grant_id><funding_grant_id>grant no. S21-0079</funding_grant_id><funding_grant_id>U19 AI144301</funding_grant_id><funding_grant_id>R01 CA207983</funding_grant_id><pubmed_authors>O'Reilly EM</pubmed_authors><pubmed_authors>Kingham TP</pubmed_authors><pubmed_authors>Zhang H</pubmed_authors><pubmed_authors>Hoshino A</pubmed_authors><pubmed_authors>Rajasekhar VK</pubmed_authors><pubmed_authors>Firmenich L</pubmed_authors><pubmed_authors>Scherz A</pubmed_authors><pubmed_authors>Hanna S</pubmed_authors><pubmed_authors>Kelsen D</pubmed_authors><pubmed_authors>Jonsson A</pubmed_authors><pubmed_authors>Sigel C</pubmed_authors><pubmed_authors>Jonsson C</pubmed_authors><pubmed_authors>DeMatteo RP</pubmed_authors><pubmed_authors>Cioffi M</pubmed_authors><pubmed_authors>Hollingsworth MA</pubmed_authors><pubmed_authors>Lauritzen P</pubmed_authors><pubmed_authors>Choubey A</pubmed_authors><pubmed_authors>Hernandez D</pubmed_authors><pubmed_authors>Bromberg J</pubmed_authors><pubmed_authors>Elemento O</pubmed_authors><pubmed_authors>Buehring W</pubmed_authors><pubmed_authors>Velasco Riestra P</pubmed_authors><pubmed_authors>Blomstrand H</pubmed_authors><pubmed_authors>Jessurun J</pubmed_authors><pubmed_authors>Vincent CT</pubmed_authors><pubmed_authors>Allen PJ</pubmed_authors><pubmed_authors>Sandstrom P</pubmed_authors><pubmed_authors>Simeone DM</pubmed_authors><pubmed_authors>Glidden C</pubmed_authors><pubmed_authors>Askan G</pubmed_authors><pubmed_authors>Nasar N</pubmed_authors><pubmed_authors>Balachandran VP</pubmed_authors><pubmed_authors>Chakraborty J</pubmed_authors><pubmed_authors>Jarnagin WR</pubmed_authors><pubmed_authors>Friedman M</pubmed_authors><pubmed_authors>Keshari K</pubmed_authors><pubmed_authors>Bram Y</pubmed_authors><pubmed_authors>Srouji R</pubmed_authors><pubmed_authors>Yarden Y</pubmed_authors><pubmed_authors>Scherz-Shouval R</pubmed_authors><pubmed_authors>Healey JH</pubmed_authors><pubmed_authors>Egeblad M</pubmed_authors><pubmed_authors>Hernandez JM</pubmed_authors><pubmed_authors>Johnson KE</pubmed_authors><pubmed_authors>Kim J</pubmed_authors><pubmed_authors>Mutvei AP</pubmed_authors><pubmed_authors>Matei IR</pubmed_authors><pubmed_authors>Sagi I</pubmed_authors><pubmed_authors>Tuveson DA</pubmed_authors><pubmed_authors>Zheng J</pubmed_authors><pubmed_authors>Simpson AL</pubmed_authors><pubmed_authors>Costa-Silva B</pubmed_authors><pubmed_authors>Paul DM</pubmed_authors><pubmed_authors>Ravichandran H</pubmed_authors><pubmed_authors>Oren M</pubmed_authors><pubmed_authors>Song Y</pubmed_authors><pubmed_authors>Bjornsson B</pubmed_authors><pubmed_authors>Lyden D</pubmed_authors><pubmed_authors>Ararso Y</pubmed_authors><pubmed_authors>Grandgenett PM</pubmed_authors><pubmed_authors>van Beek E</pubmed_authors><pubmed_authors>Vinagolu-Baur JP</pubmed_authors><pubmed_authors>Basturk O</pubmed_authors><pubmed_authors>Boudreau N</pubmed_authors><pubmed_authors>Kim HS</pubmed_authors><pubmed_authors>Jolissaint JS</pubmed_authors><pubmed_authors>Zambirinis CP</pubmed_authors><pubmed_authors>Schwartz RE</pubmed_authors><pubmed_authors>Burman J</pubmed_authors><pubmed_authors>Lieberman G</pubmed_authors><pubmed_authors>D'Angelica MI</pubmed_authors><pubmed_authors>Shaashua L</pubmed_authors><pubmed_authors>Lewis JS</pubmed_authors><pubmed_authors>Iacobuzio-Donahue CA</pubmed_authors><pubmed_authors>Mejia DL</pubmed_authors><pubmed_authors>Bojmar L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multi-parametric atlas of the pre-metastatic liver for prediction of metastatic outcome in early-stage pancreatic cancer.</name><description>Metastasis occurs frequently after resection of pancreatic cancer (PaC). In this study, we hypothesized that multi-parametric analysis of pre-metastatic liver biopsies would classify patients according to their metastatic risk, timing and organ site. Liver biopsies obtained during pancreatectomy from 49 patients with localized PaC and 19 control patients with non-cancerous pancreatic lesions were analyzed, combining metabolomic, tissue and single-cell transcriptomics and multiplex imaging approaches. Patients were followed prospectively (median 3 years) and classified into four recurrence groups; early (&lt;6 months after resection) or late (>6 months after resection) liver metastasis (LiM); extrahepatic metastasis (EHM); and disease-free survivors (no evidence of disease (NED)). Overall, PaC</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Aug</publication><modification>2026-06-02T16:10:59.508Z</modification><creation>2025-04-06T22:30:21.868Z</creation></dates><accession>S-EPMC11416063</accession><cross_references><pubmed>38942992</pubmed><doi>10.1038/s41591-024-03075-7</doi></cross_references></HashMap>