ArticleEBioMedicine2022
Modeling of cancer-related body-wide effects identifies LTB4 as a diagnostic biomarker for pancreatic cancer.
Article in EBioMedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Tumor Lipidomic Changes after Treatment with Polymeric Hydroxychloroquine in a Syngeneic Murine Model of Pancreatic Cancer.ACS omega · 2026Article
- Vitamin D Binding Protein, a Ligand of Integrin beta 1, Motivates Both Tumor Cells and Schwann Cells to Promote Perineural Invasion in Pancreatic Ductal Adenocarcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Early-Stage Pancreatic Cancer Diagnosis: Serum Biomarkers and the Potential for Aptamer-Based Biosensors.Molecules (Basel, Switzerland) · 2025Review
- The role of diagnostic, prognostic, and predictive biomarkers in the management of early pancreatic cancer.Journal of cancer research and clinical oncology · 2023Review
- An integrated overview of the immunosuppression features in the tumor microenvironment of pancreatic cancer.Frontiers in immunology · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer elicits a complex adaptive response in an organism. Limited information is available for the body-wide effects induced by cancer. Here, we evaluated multiorgan changes in mouse models of pancreatic ductal adenocarcinoma (PDAC) and its precursor lesions (pancreatic intraepithelial neoplasia, PanIN) to decipher changes that occur during PDAC development.
methodsRNA-sequencing was employed in the brain, colon, stomach, kidney, heart, liver, and lung tissues of mice with PanIN and PDAC. A combination of differential expression analysis and functional-category enrichment was applied for an in-depth understanding of the multiorgan transcriptome. Differentially expressed genes were verified by quantitative real-time polymerase chain reaction. Neutrophil and macrophage infiltration in multiple organs was analyzed by immunohistochemical staining. Leukotriene B4 (LTB4) levels in mouse and human serum samples were determined by enzyme-linked immunosorbent assay.
findingsTranscriptional changes within diverse organs during PanIN and PDAC stages were identified. Using Gene Ontology enrichment analysis, increased neutrophil infiltration was discovered as a central and prominent affected feature, which occurred in the liver, lung, and stomach at the PanIN stage. The brain appeared to be well protected from the sequels of PanIN or PDAC. Importantly, serum LTB4 was able to discriminate PDAC from normal controls, chronic pancreatitis, and intraductal papillary mucinous neoplasms with high performance.
interpretationOur study provides a high-resolution cartographic view of the dynamic multiorgan transcriptomic landscape of mice with PDAC and its precursor lesions. Our findings suggest that LTB4 could serve as a biomarker for the early detection of PDAC.
fundingThe complete list of funders can be found in the Acknowledgement section.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.