Evidence map›Paper›PMID 42898989›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Proteomic analysis of bioprinted pancreatic tumor models under different nutrient conditions.

Busra Buyuk, Ming Li, Xueer Song, Kaiming Ye

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Busra BuyukDepartment of Biomedical Engineering, Watson College of Engineering and Applied Science, Center of Biomanufacturing for Regenerative Medicine, Binghamton University, State University of New York (SUNY), Binghamton, NY, United States.
Ming LiDepartment of Biomedical Engineering, Watson College of Engineering and Applied Science, Center of Biomanufacturing for Regenerative Medicine, Binghamton University, State University of New York (SUNY), Binghamton, NY, United States.
Xueer SongDepartment of Biomedical Engineering, Watson College of Engineering and Applied Science, Center of Biomanufacturing for Regenerative Medicine, Binghamton University, State University of New York (SUNY), Binghamton, NY, United States.
Kaiming Ye *Department of Biomedical Engineering, Watson College of Engineering and Applied Science, Center of Biomanufacturing for Regenerative Medicine, Binghamton University, State University of New York (SUNY), Binghamton, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stromal microenvironment that restricts nutrient availability and contributes to tumor adaptation. Cancer-associated fibroblasts (CAFs), extracellular matrix components, and tumor cells participate in reciprocal interactions that influence the metabolic state of PDAC tumors. Objective: This study investigated nutrient-associated proteomic changes in three-dimensional (3D) bioprinted PDAC-CAF tumor constructs and examined alterations in metabolic and cell-junction-related pathways under nutrient-avid and nutrient-deprived conditions. Methods: Three-dimensional bioprinted pancreatic tumor constructs composed primarily of PANC1 cells and cancer-associated fibroblasts (CAFs) were cultured under nutrient-avid (N) and nutrient-deprived (N-) conditions. Constructs were monitored at Days 0, 6, and 12, and Day 6 was selected for comparative proteomic analysis as an intermediate stage at which nutrient-associated structural divergence was evident while both tumor and stromal compartments remained detectable. Label-free high-resolution LC-MS/MS proteomic profiling was followed by KEGG pathway enrichment and complementary bioinformatic analyses. Selected junction-associated findings were further examined by quantitative real-time PCR. Results: Distinct nutrient-associated proteomic signatures were observed in the bioprinted tumor constructs. Nutrient-avid conditions were associated with enrichment of pathways including pantothenate and CoA biosynthesis, β-alanine metabolism, and arginine and proline metabolism. Nutrient-deprived conditions showed enrichment of pathways related to unsaturated fatty-acid biosynthesis, fatty-acid elongation, riboflavin metabolism, folate-associated metabolism, and terpenoid backbone biosynthesis. Nutrient-associated differences were also observed among proteins assigned to gap-junction, adherens-junction, focal-adhesion, tight-junction, and central-carbon-metabolism pathways. Selected junction-associated proteomic observations were supported at the transcript level by qPCR, although concordance between mRNA and protein abundance varied among targets. Conclusion: Nutrient availability was associated with distinct metabolic and junction-related proteomic signatures in 3D bioprinted PDAC-CAF constructs. These findings provide hypothesis-generating evidence of nutrient-dependent molecular remodeling within a multicellular PDAC model. Functional perturbation studies will be required to determine the causal and therapeutic relevance of the candidate proteins and pathways identified here.

Indexed as

3D bioprintingcancer-associated fibroblastsmetabolic adaptationnutrient stresspancreatic ductal adenocarcinoma (PDAC)proteomicstumor microenvironment

Identifiers

PMID42898989
PMCPMC13678492

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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.