Trial reportMolecular cancer2025
An immune responsive tumor microenvironment imprints into PBMCs and predicts outcome in advanced pancreatic cancer: lessons from the PREDICT trial.
Trial report in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03468335 (Second-line Therapy With Nal-IRI After Failure Gemcitabine/Nab-paclitaxel in Advanced Pancreatic Cancer - Predictive Role of 1st-line Therapy), which is not on this map. Cited by 5 papers.
What it found
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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.
Second-line Therapy With Nal-IRI After Failure Gemcitabine/Nab-paclitaxel in Advanced Pancreatic Cancer - Predictive Role of 1st-line Therapy
Who cites it
5 citing papers in PubMed.
- Signals in Peripheral Blood: Tracking Redox Status and DNA Damage Response During the Progression of Multiple Myeloma.International journal of molecular sciences · 2026Article
- Machine learning-guided multimodal profiling defines perturbed immune states at the time of cancer diagnosis.Briefings in bioinformatics · 2026Article
- From Pyroptosis Heterogeneity to an Interpretable Prognostic Signature for Risk Stratification and Therapy Insights in Pancreatic Adenocarcinoma.Biomedicines · 2026Article
- Exercise Boosts the Immune System and Enhances Immunotherapy Responses in Pancreatic Cancer and Mesothelioma.Biomolecules · 2026Article
- An oncogenic KRAS-driven secretome involving TNFα promotes niche preparation prior to pancreatic cancer onset.Molecular cancer · 2026Article
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
backgroundPrognosis in advanced pancreatic ductal adenocarcinoma (aPDAC) is particularly poor, only few patients benefit from treatment, and there are few biomarkers. The PREDICT trial examined whether first-line time-to-treatment failure (TTF1) predicts second-line treatment failure (TTF2) in aPDAC patients but found no association. We hypothesized that the tumor immune microenvironment (TiME) could correlate with the outcome in this trial and assessed whether tissue features were reflected in peripheral blood.
methodsPREDICT patients received 5-FU/LV plus nanoliposomal irinotecan as second-line treatment. We stratified patients by shortest vs. longest TTF2 and analyzed 20 treatment-naïve tumor tissues samples via transcriptomics and immunohistochemistry. Peripheral blood mononuclear cells (PBMCs) from 82 patients collected prior to second-line therapy underwent flow cytometry and gene expression profiling. A machine learning pipeline integrated PBMC and clinical data to predict second-line outcome including external validation in 30 patients.
resultsLong-TTF2 tumors exhibited an immune-active ("hot") TiME with cytotoxic CXCR3
conclusionsAn immune-active, treatment-naïve TiME predicts a better second-line outcome, and these characteristics imprinted into PBMCs obtained after one line of chemotherapy. We here first describe a minimally invasive, PBMC-based predictor of second-line outcome as a powerful prognostic tool for triaging patients.
trial registrationClinicalTrials.gov NCT03468335 (registered March 15, 2018).
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