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Form follows function: decoding pancreatic cancer

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by Cancer Research UK | In depth

22 September 2026

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Bringing discovery research to bear on clinical decision making for pancreatic cancer is vital says Adam Bryce. Here he tells us why understanding CAF architecture and morphology could be the key to do just that…

Despite recent advances, pancreatic ductal adenocarcinoma (PDAC) remains a devastating disease. More than 90% of patients will die within five years of diagnosis, and among the minority who are suitable for surgical resection, long-term cure is achieved in very few.

The biological profile of an individual tumour remains relatively inaccessible outside of research settings, and current clinical methods for assessing this biology only partially capture the information contained within. Unlocking these secrets could not only improve our understanding of the disease but also identify potential clinical tools or biomarkers to support decision making in situations where the optimal treatment strategy is not always clear.

One aspect of CAF biology which remains less understood is their shape.

A key component of the pancreatic tumour microenvironment (TME) is its dense and fibrotic stroma. This ecosystem surrounding the tumour is a characteristic feature of the disease and can make up over 80% of the tumour mass. Indeed, many describe PDAC as “the poster child of the tumour microenvironment”. Cancer-associated fibroblasts (CAFs) are key cellular players within this stroma and characterising their function, heterogeneity, and spatial relationships with tumour epithelium have been key priorities for PDAC biologists in the past decade.

In spite of these efforts, one aspect of CAF biology which remains less understood is their shape.

The shape of things to come

Morphology has been a defining feature of fibroblasts since their description as spindle-shaped cells by Virchow in 1858. So, the question naturally arises; if the shape of a CAF reflects its underlying function, could morphology be used as a proxy for biology?

To explore this, my lab recently profiled 201 resected PDAC specimens using multiplex immunofluorescence (mIF). In addition to assessing CAF morphology, we also wanted to explore how this morphology relates to wider tumour architecture.

Initially the main task was to segment out the cells into epithelium and FAP (Fibroblast activation protein) -positive and -negative stromal fractions. This allowed an exploration of how epithelial and stromal compartments of the TME spatially relate to each other, and how these spatial relationships aggregate into broader architectural patterns. This revealed a number of local cellular neighbourhoods, which were then used to define architectural subtypes of PDAC. Interestingly, these were strongly correlated with outcome. Prolonged survival is seen among tumours with cohesive, organised architecture enriched for spatial interactions between epithelium and FAP-negative stroma. Conversely, tumours with disorganised, fragmented architecture were enriched for spatial interactions between epithelium and FAP-positive stroma and demonstrated much shorter survival.

These architectural subtypes were subsequently named according to their key features: Cohesive, Organised, Desmoplastic and Fragmented.

3D rendering of Tumour Microenvironment

Exploring the relationship between architectural subtypes and CAF morphology revealed parallel architectural and morphological properties, with enrichment of slender- and round-shaped CAFs in Cohesive and Organised subtypes, and enlarged- and stellate-shaped CAFs in Desmoplastic and Fragmented subtypes. These morphologies also aligned to CAF phenotype, with strong correlations between enlarged and stellate features and markers such as aSMA – the expression of which often associates with tumour invasion and poor prognosis.

Morphology as biomarker?

Architectural profiling could therefore represent a potential spatial biomarker of both prognosis and requirement for adjuvant treatment after surgical resection.

As architectural subtypes are defined using only two markers (panCK and FAP), the subtype of a resected tumour could theoretically be determined with only minimal histological processing in addition to routine H&E staining. It could alternatively be done with the aid of histomorphological machine learning tools, from routine H&E images alone.

If epithelium and stroma co-evolve in tandem, is this process bidirectional and therefore potentially targetable? In other words, could reversing these adverse morphological and architectural processes in turn reverse adverse tumour biology?

Our results also suggest that CAF morphology encodes biology, and highlights CAF morphological states associated with adverse prognosis. Profiling the morphology of a cell with ‘low-plex’ methods could therefore be a more accessible means of inferring its underlying phenotype, compared to more costly or time-intensive sequencing or highly multiplexed techniques.

More broadly however, these results could support a model of epithelial-stromal co-evolution in which both tumour and stroma converge towards an adverse state, with corresponding changes in CAF morphology, spatial architecture, and clinical outcome. Although further mechanistic studies are required to explore this hypothesis, it raises an important therapeutic question. If epithelium and stroma co-evolve in tandem, is this process bidirectional and therefore potentially targetable? In other words, could reversing these adverse morphological and architectural processes in turn reverse adverse tumour biology?

Unlocking these secrets could provide further opportunities for more effective treatment to improve outcomes for patients with pancreatic cancer.

Adam Bryce

Author

Adam Bryce

Adam is Honorary Clinical Lecturer, University of Glasgow and a Specialist Registrar in General Surgery

See his pre-print on this work here

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