TAMS in appendiceal cancer: Association with metabolic remodeling, prognosis, and response to intra-tumoral therapy.

P Patrick Wagner (Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA) C Christopher Sherry R Rose Blodgett (Allegheny Health Network Cancer Institute, Pittsburgh, PA) H Hyun Young Park E Ethan Richman (Drexel University College of Medicine, Philadelphia, PA) A Anjani Ravi (Drexel University School of Medicine, Philadelphia, PA) K Katherine Barker (Drexel University School of Medicine, Philadelphia, PA) K Kunhong Xiao A Ashten N. Omstead (Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA) A Albert Donnenberg D David L. Bartlett V Vera Donnenberg A Ajay Goel (Department of Molecular Diagnostics and Experimental Therapeutics Beckman Research Institute at City of Hope Monrovia California USA) A Ali Hussainy Zaidi (Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA) N Neda Dadgar

Abstract

3597 Background: Appendiceal cancer (AC) is a rare malignancy with a distinct immunobiology and propensity for peritoneal metastasis. Tumor-associated macrophages (TAMs) are recognized as influential immune cells in various cancers. In this study, we sought to define the role of TAMs in AC, given its unique immune landscape and peritoneal microenvironment. Methods: Immunohistochemistry-quantified M1-like (CD68+CD86+) and M2-like (CD68+CD206+) TAM densities in 112 archival AC specimens were compared against clinicopathologic features and overall survival (OS). In parallel, a comprehensive tissue proteomic analysis (LC-MS/MS) was performed. Gene set enrichment analysis identified proteomic signatures associated with M1 and M2 density. Independently prognostic proteins were identified via Cox regression. External validation was performed by correlating these proteomic signatures in independent tumor samples from the RIOT-1 clinical trial (NCT05751837), in which AC patients received intra-tumoral lipopolysaccharide (LPS), a TLR4 agonist. Results: M2-like TAMs outnumbered M1-like TAMs in AC (p = 0.0002), particularly in peritoneal metastases (p = 0.002), and were not associated with tumor grade or histology. Low M1 density ( < 18th percentile) correlated with worse OS (HR: 3.26, p = 0.03), while high M2 density ( > 52nd percentile) was associated with improved OS (HR: 0.1, p = 0.03). A combined high-M1/M2 percentile metric was highly prognostic of favorable OS (p < 0.001), independent of age, grade, and disease extent. On proteomic analysis, M1-rich tumors exhibited high bioenergetic demands, extensive metabolic reprogramming (isoprenoid/amino acid metabolism), retinol/xenobiotic metabolism, while M2-rich tumors emphasized ECM remodeling, profound amino acid metabolism (immunosuppressive), oxidoreductase activity, and complement activation, with suppressed cell motility. The combined high-M1/M2 phenotype correlated with intense amino acid/lipid metabolism and redox homeostasis. Five TAM-related, independently prognostic proteins were identified: GATD1 (favorable, HR 1.53x10-16), and AGR2, ENOPH1, RHOA, SERPINB6 (adverse, HRs 5.51-10.39). In RIOT-1, intra-tumoral LPS increased M1/M2 TAM infiltration and induced proteomic changes significantly correlated with M1-related (p = 0.0016), M2-related (p = 0.008), and combined TAM signatures (p = 0.047), supporting therapeutic tractability. Conclusions: AC harbors a TAM-rich immune microenvironment in which M2-like TAMs and a combined M1/M2 phenotype paradoxically associate with favorable prognosis. Distinct TAM-linked metabolic programs and validated prognostic proteins suggest clinically relevant biologic underpinnings of these findings, while modulation of the AC microenvironment via regional innate immune activation may represent a promising therapeutic strategy.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 3597-3597
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (15)

P

Patrick Wagner

Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA

C

Christopher Sherry

R

Rose Blodgett

Allegheny Health Network Cancer Institute, Pittsburgh, PA

H

Hyun Young Park

E

Ethan Richman

Drexel University College of Medicine, Philadelphia, PA

A

Anjani Ravi

Drexel University School of Medicine, Philadelphia, PA

K

Katherine Barker

Drexel University School of Medicine, Philadelphia, PA

K

Kunhong Xiao

A

Ashten N. Omstead

Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA

A

Albert Donnenberg

D

David L. Bartlett

V

Vera Donnenberg

A

Ajay Goel

Department of Molecular Diagnostics and Experimental Therapeutics Beckman Research Institute at City of Hope Monrovia California USA

A

Ali Hussainy Zaidi

Allegheny Health Network Cancer Institute, Allegheny Health Network, Pittsburgh, PA

N

Neda Dadgar