Back

Overweight status drives early tumor microenvironment reprogramming in pancreatic ductal adenocarcinoma: a cell-type-resolved Bayesian hierarchical modeling and interactome analysis

Viswanathan, A.; Seby, J.; Harikumar, K. B.

2026-05-17 cancer biology
10.64898/2026.05.14.721695 bioRxiv
Show abstract

BackgroundObesity significantly increases the risk of prognosis and clinical outcomes in pancreatic ductal adenocarcinoma (PDAC). While research on the interactions between obesity and the tumor microenvironment (TME) is mostly confined to a few interactions at a time, leaving a gap in the comprehensive understanding of obesity-driven PDAC. We set out to develop a cell-type-resolved model of obesity-driven PDAC using bulk transcriptomic data to investigate TME changes. MethodsWe conducted an integrated transcriptomic analysis of PDAC patients from the CPTAC-3 cohort (n=140) stratified by BMI. A custom immune and stromal functional gene signature database covering 65 cell types was constructed, followed by LLM-assisted review, overlap control, and validation. BayesPrism deconvolution using matched single-cell references was used to derive expression profiles for each cell type. Stabl, a machine-learning algorithm, was used to identify BMI-associated signatures. Bayesian hierarchical modeling, using both continuous and categorical BMI change, was applied to estimate effect sizes and assess the statistical credibility of the signature changes using the 95% Highest Density Interval (HDI) excluding zero. Virtual multiplex immunofluorescence was generated from whole-slide H&E images using gigaTIME to assess the spatial manifestation of BMI-associated TME changes in tissue ResultsBulk pathway analysis showed that ECM homeostasis and primary immunodeficiency pathways deteriorated with increasing BMI. However, Bayesian modeling revealed cell-type-specific, non-linear dynamics. Stromal populations in overweight (OW) individuals were altered, with changes in ECM synthesis and inflammatory signaling that stabilized rather than intensified during obesity. Immune compartments also showed diverse trajectories: CD4+ T cells remained functional in OW but collapsed in obesity; CD8+ T cells progressed linearly from activation to chronic exhaustion. NK cells exhibited non-monotonic behavior, and monocyte and B cell lineages became impaired prior to clinical obesity. Cell-cell interaction analysis showed a shift from a T cell and dendritic cell-centric adaptive interactome in normal weight patients to a neutrophil-dominated inflammatory network in OW. Spatial analysis showed stromal-trapped CD8+ T cells were compressed closer to the tumor boundary with rising BMI. ConclusionsOverweight status represents a critical tipping point in tumor microenvironmental reprogramming, challenging linear models of obesity-associated immune modulation and suggesting that early metabolic interventions may prevent PDAC functional deterioration. Model is available at https://obese-pdac-model.streamlit.app/ O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=138 SRC="FIGDIR/small/721695v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@b1c8cdorg.highwire.dtl.DTLVardef@1f61b7forg.highwire.dtl.DTLVardef@876c60org.highwire.dtl.DTLVardef@dc32b2_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
BMC Cancer
52 papers in training set
Top 0.1%
9.2%
2
Cancers
200 papers in training set
Top 0.8%
6.4%
3
PeerJ
261 papers in training set
Top 1%
4.3%
4
Frontiers in Oncology
95 papers in training set
Top 1%
3.6%
5
eBioMedicine
130 papers in training set
Top 0.3%
3.6%
6
International Journal of Cancer
42 papers in training set
Top 0.3%
3.3%
7
PLOS ONE
4510 papers in training set
Top 41%
3.3%
8
Clinical Epigenetics
53 papers in training set
Top 0.3%
3.1%
9
Metabolism
14 papers in training set
Top 0.1%
2.9%
10
Cancer Medicine
24 papers in training set
Top 0.4%
2.8%
11
Cancer Research Communications
46 papers in training set
Top 0.2%
2.6%
12
PLOS Computational Biology
1633 papers in training set
Top 12%
2.6%
13
Gastroenterology
40 papers in training set
Top 0.7%
2.4%
50% of probability mass above
14
Gut
36 papers in training set
Top 0.4%
1.9%
15
Frontiers in Endocrinology
53 papers in training set
Top 1%
1.7%
16
Cellular and Molecular Gastroenterology and Hepatology
41 papers in training set
Top 0.4%
1.7%
17
Journal of Translational Medicine
46 papers in training set
Top 0.9%
1.7%
18
eLife
5422 papers in training set
Top 42%
1.7%
19
Scientific Reports
3102 papers in training set
Top 61%
1.5%
20
Journal of Clinical Medicine
91 papers in training set
Top 4%
1.3%
21
Cell Communication and Signaling
35 papers in training set
Top 0.6%
1.3%
22
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.2%
23
British Journal of Cancer
42 papers in training set
Top 1%
1.2%
24
Cell Reports
1338 papers in training set
Top 28%
1.2%
25
JCI Insight
241 papers in training set
Top 6%
0.9%
26
Cancer Immunology, Immunotherapy
11 papers in training set
Top 0.3%
0.9%
27
Neoplasia
22 papers in training set
Top 0.5%
0.9%
28
npj Precision Oncology
48 papers in training set
Top 1%
0.8%
29
American Journal of Physiology-Endocrinology and Metabolism
34 papers in training set
Top 0.4%
0.8%
30
BMC Medicine
163 papers in training set
Top 7%
0.8%