PMID- 35773268 OWN - NLM STAT- MEDLINE DCOM- 20220704 LR - 20240102 IS - 2045-2322 (Electronic) IS - 2045-2322 (Linking) VI - 12 IP - 1 DP - 2022 Jun 30 TI - Deeper insights into long-term survival heterogeneity of pancreatic ductal adenocarcinoma (PDAC) patients using integrative individual- and group-level transcriptome network analyses. PG - 11027 LID - 10.1038/s41598-022-14592-1 [doi] LID - 11027 AB - Pancreatic ductal adenocarcinoma (PDAC) is categorized as the leading cause of cancer mortality worldwide. However, its predictive markers for long-term survival are not well known. It is interesting to delineate individual-specific perturbed genes when comparing long-term (LT) and short-term (ST) PDAC survivors and integrate individual- and group-based transcriptome profiling. Using a discovery cohort of 19 PDAC patients from CHU-Liege (Belgium), we first performed differential gene expression analysis comparing LT to ST survivor. Second, we adopted systems biology approaches to obtain clinically relevant gene modules. Third, we created individual-specific perturbation profiles. Furthermore, we used Degree-Aware disease gene prioritizing (DADA) method to develop PDAC disease modules; Network-based Integration of Multi-omics Data (NetICS) to integrate group-based and individual-specific perturbed genes in relation to PDAC LT survival. We identified 173 differentially expressed genes (DEGs) in ST and LT survivors and five modules (including 38 DEGs) showing associations to clinical traits. Validation of DEGs in the molecular lab suggested a role of REG4 and TSPAN8 in PDAC survival. Via NetICS and DADA, we identified various known oncogenes such as CUL1 and TGFB1. Our proposed analytic workflow shows the advantages of combining clinical and omics data as well as individual- and group-level transcriptome profiling. CI - (c) 2022. The Author(s). FAU - Bhardwaj, Archana AU - Bhardwaj A AD - GIGA-R Centre, BIO3 - Medical Genomics, University of Liege, Avenue de L'Hopital, 11, 4000, Liege, Belgium. a.bhardwaj@uliege.be. FAU - Josse, Claire AU - Josse C AD - Laboratory of Human Genetics, GIGA Research, University Hospital (CHU), Liege, Belgium. AD - Medical Oncology Department, CHU Liege, Liege, Belgium. FAU - Van Daele, Daniel AU - Van Daele D AD - Department of Gastro-Enterology, University Hospital (CHU), Liege, Belgium. FAU - Poulet, Christophe AU - Poulet C AD - Laboratory of Human Genetics, GIGA Research, University Hospital (CHU), Liege, Belgium. AD - Laboratory of Rheumatology, GIGA-R, University Hospital (CHULiege), Liege, Belgium. FAU - Chavez, Marcela AU - Chavez M AD - Department of Medicine, Division of Hematology, University Hospital (CHU), Liege, Belgium. FAU - Struman, Ingrid AU - Struman I AD - GIGA-R Centre, Laboratory of Molecular Angiogenesis, University of Liege, Liege, Belgium. FAU - Van Steen, Kristel AU - Van Steen K AD - GIGA-R Centre, BIO3 - Medical Genomics, University of Liege, Avenue de L'Hopital, 11, 4000, Liege, Belgium. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20220630 PL - England TA - Sci Rep JT - Scientific reports JID - 101563288 RN - 0 (Biomarkers, Tumor) RN - 0 (TSPAN8 protein, human) RN - 0 (Tetraspanins) SB - IM MH - Biomarkers, Tumor/genetics MH - *Carcinoma, Pancreatic Ductal/pathology MH - Gene Expression Profiling/methods MH - Gene Expression Regulation, Neoplastic MH - Humans MH - *Pancreatic Neoplasms/pathology MH - Tetraspanins/metabolism MH - Transcriptome PMC - PMC9247075 COIS- The authors declare no competing interests. EDAT- 2022/07/01 06:00 MHDA- 2022/07/06 06:00 PMCR- 2022/06/30 CRDT- 2022/06/30 23:16 PHST- 2021/07/09 00:00 [received] PHST- 2022/06/09 00:00 [accepted] PHST- 2022/06/30 23:16 [entrez] PHST- 2022/07/01 06:00 [pubmed] PHST- 2022/07/06 06:00 [medline] PHST- 2022/06/30 00:00 [pmc-release] AID - 10.1038/s41598-022-14592-1 [pii] AID - 14592 [pii] AID - 10.1038/s41598-022-14592-1 [doi] PST - epublish SO - Sci Rep. 2022 Jun 30;12(1):11027. doi: 10.1038/s41598-022-14592-1.