Abstract 156P
Background
Abnormal collagen fiber architectures in tumor fibrosis affect prognosis and treatment response in pancreatic cancer (PC) patients. Increased fibrotic activity releases collagen metabolites into the bloodstream. The aim was to explore these metabolites to cluster PC patients into tumor fibrosis endotypes and evaluate overall survival (OS).
Methods
Serum was collected from patients with PC prior to chemotherapy or resection and included in the BIOPAC Study (ID: NCT03311776) (stage I (n=15), Stage II (n=201), stage III (n=164) and stage 4 (n=434)). Principal component analysis was performed on the levels of five collagen metabolites (Table) measured by ELISAs. K-means clustering was used to discover clusters and Kaplan-Meier curves and the cox proportional hazards model used to dicover associations with OS. Table: 156P
Biomarker name | collagen metabolite |
C3M | Neo-epitope of MMP-9 mediated degradation of type III collagen |
PRO-C3 | Released N-terminal pro-peptide of type III collagen |
PRO-C5 | Released C-terminal pro-peptide of type V collagen |
PRO-C6 | C-terminal of released C5 domain of type VI collagen α3 chain (endotrophin) |
PRO-C11 | Released N-terminal pro-peptide of type XI collagen |
Results
Three putative endotypes (cluster A, B, C) were identified. Patients in cluster B had higher C3M, PRO-C5 and PRO-C11 levels compared to cluster A, whereas patients in cluster C had higher PRO-C3 and PRO-C6 levels compared to cluster A. Patients with endotype A had a median OS of 332 days vs. 185 and 144 days for endotype B and C (p<0.001). Compared to endotype A, both endotype B (HR=1.56, 95% CI 1.28–1.91, p<0.001) and endotype C (HR=1.69, 95% CI 1.26–2.26, p<0.001) were predictors of poor OS when corrected for age, sex, performance status, body mass index, diabetes, cachexia, stage, number of metastatic sites, and CA19-9.
Conclusions
Clustering of patients with PC based on five collagen-derived metabolites measured in serum identifies 3 distinct endotypes that were associated with poor OS independent of other common risk factors. These findings indicate that non-invasive collagen biomarkers can be used to identify fibrotic endotypes in patients with PC and that such endotypes may inform on patient prognostication.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
The Danish Research Foundation.
Disclosure
J. Thorlacius-Ussing, N.I. Nissen, C. Jensen, M. Karsdal, N. Willumsen: Financial Interests, Institutional, Full or part-time Employment: Nordic bioscience A/S. All other authors have declared no conflicts of interest.
Resources from the same session
217P - Clinical and molecular features of PTCH1 mutant in solid tumors
Presenter: Xuezheng Li
Session: Poster session 01
218P - Peripheral T cell activation phenotype is associated with clinical outcomes and immune-related adverse events of ipilimumab-nivolumab in advanced hepatocellular carcinoma
Presenter: WON SUK LEE
Session: Poster session 01
219P - Multicentric evaluation of amplicon-based next-generation sequencing solution for local comprehensive molecular tumor profiling
Presenter: Eloisa Jantus Lewintre
Session: Poster session 01
220P - Biomarker of blood age and inflammation in older cancer patients might predict outcome
Presenter: Marcus Vetter
Session: Poster session 01
221P - Peripheral T cell activation phenotype predicts clinical outcomes of atezolizumab-bevacizumab therapy in unresectable hepatocellular carcinoma
Presenter: Chan Kim
Session: Poster session 01
222P - Therapeutic opportunities for porcupine inhibition in gastrointestinal cancer
Presenter: Natalie Cook
Session: Poster session 01
223P - Artificial intelligence-based pathomics biomarker predict primary resistance to first-line treatment in metastatic colorectal cancers
Presenter: Gianluca Mauri
Session: Poster session 01
224P - Germline HLA-I/II is not associated with clinical outcome but the absence of HLA-A01 or the presence of HLA-B27 supertypes were correlated with improved clinical outcome among patients with NSCLC treated with pembrolizumab in combination with chemotherapy
Presenter: Afaf Abed
Session: Poster session 01
225P - Utility of next-generation sequencing (NGS) in patients with advanced cancer in a low-middle income country
Presenter: Milton Lombana Quinonez
Session: Poster session 01
226P - LongiBloodImmunoM: A multi-step analysis pipeline for longitudinal blood-based immunomonitoring for immunotherapy clinical trial
Presenter: Jiangfeng Ye
Session: Poster session 01