TNF-α-producing macrophages determine subtype identity and prognosis via AP1 enhancer reprogramming in pancreatic cancer

Mengyu Tu, Lukas Klein, Elisa Espinet, Theodoros Georgomanolis, Florian Wegwitz, Xiaojuan Li, Laura Urbach, Adi Danieli-Mackay, Stefan Küffer, Kamil Bojarczuk, Athanasia Mizi, Ufuk Günesdogan, Björn Chapuy, Zuguang Gu, Albrecht Neesse, Uday Kishore, Philipp Ströbel, Elisabeth Hessmann, Stephan A. Hahn, Andreas TrumppArgyris Papantonis, Volker Ellenrieder, Shiv K. Singh

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

Abstract

Large-scale genomic profiling of pancreatic cancer (PDAC) has revealed two distinct subtypes: ‘classical’ and ‘basal-like’. Their variable coexistence within the stromal immune microenvironment is linked to differential prognosis; however, the extent to which these neoplastic subtypes shape the stromal immune landscape and impact clinical outcome remains unclear. By combining preclinical models, patient-derived xenografts, as well as FACS-sorted PDAC patient biopsies, we show that the basal-like neoplastic state is sustained via BRD4-mediated cJUN/AP1 expression, which induces CCL2 to recruit tumor necrosis factor (TNF)-α-secreting macrophages. TNF-α+ macrophages force classical neoplastic cells into an aggressive phenotypic state via lineage reprogramming. Integration of ATAC-, ChIP- and RNA-seq data revealed distinct JUNB/AP1 (classical) and cJUN/AP1 (basal-like)-driven regulation of PDAC subtype identity. Pharmacological inhibition of BRD4 led to suppression of the BRD4–cJUN–CCL2–TNF-α axis, restoration of classical subtype identity and a favorable prognosis. Hence, patient-tailored therapy for a cJUNhigh/TNF-αhigh subtype is paramount in overcoming highly inflamed and aggressive PDAC states.

Original languageEnglish
Pages (from-to)1185-1203
Number of pages19
JournalNature Cancer
Volume2
Issue number11
DOIs
Publication statusPublished - Nov 2021
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research
  • General Medicine

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