Evidence map›Paper›PMID 39575252›Full record

ArticleFrontiers in immunology2024

Depicting the cellular complexity of pancreatic adenocarcinoma by Imaging Mass Cytometry: focus on cancer-associated fibroblasts.

Marco Erreni, Maria Rita Fumagalli, Raffaella D'Anna, Mauro Sollai, Silvia Bozzarelli, Gennaro Nappo, Damiano Zanini, Raffaella Parente, Cecilia Garlanda, Lorenza Rimassa and 5 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Marco Erreni *Unit of Multiscale and Nanostructural Imaging, IRCCS Humanitas Research Hospital, Milan, Italy.
Maria Rita Fumagalli *Unit of Multiscale and Nanostructural Imaging, IRCCS Humanitas Research Hospital, Milan, Italy.
Raffaella D'AnnaUnit of Multiscale and Nanostructural Imaging, IRCCS Humanitas Research Hospital, Milan, Italy.
Mauro SollaiPathology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.
Silvia BozzarelliMedical Oncology and Hematology Unit, Humanitas Cancer Center, IRCCS Humanitas Research Hospital, Milan, Italy.
Gennaro NappoDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Damiano ZaniniUnit of Multiscale and Nanostructural Imaging, IRCCS Humanitas Research Hospital, Milan, Italy.
Raffaella ParenteUnit of Multiscale and Nanostructural Imaging, IRCCS Humanitas Research Hospital, Milan, Italy.
Cecilia GarlandaDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Lorenza RimassaDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Luigi Maria TerraccianoDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Subhra K BiswasSingapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Alessandro ZerbiDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Alberto MantovaniDepartment of Biomedical Sciences, Humanitas University, Milan, Italy.
Andrea DoniUnit of Multiscale and Nanostructural Imaging, IRCCS Humanitas Research Hospital, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pancreatic ductal adenocarcinoma (PDAC) represents the complexity of interaction between cancer and cells of the tumor microenvironment (TME). Immune cells affect tumor cell behavior, thus driving cancer progression. Cancer-associated fibroblasts (CAFs) are responsible of the desmoplastic and fibrotic reaction by regulating deposition and remodeling of extracellular matrix (ECM). As tumor-promoting cells abundant in PDAC ECM, CAFs represent promising targets for novel anticancer interventions. However, relevant clinical trials are hampered by the lack of specific markers and elusive differences among CAF subtypes. Indeed, while single-cell transcriptomic analyses have provided important information on the cellular constituents of PDACs and related molecular pathways, studies based on the identification of protein markers in tissues aimed at identifying CAF subtypes and new molecular targets result incomplete. Methods: Herein, we applied multiplexed Imaging Mass Cytometry (IMC) at single-cell resolution on 8 human PDAC tissues to depict the PDAC composing cells, and profiling immune cells, endothelial cells (ECs), as well as endocrine cells and tumor cells. Results: We focused on CAFs by characterizing up to 19 clusters distinguished by phenotype, spatiality, and interaction with immune and tumor cells. We report evidence that specific subtypes of CAFs (CAFs 10 and 11) predominantly are enriched at the tumor-stroma interface and closely associated with tumor cells. CAFs expressing different combinations of FAP, podoplanin and cadherin-11, were associated with a higher level of CA19-9. Moreover, we identified specific subsets of FAP Discussion: The present study provides new general insights into the complexity of the PDAC microenvironment by defining phenotypic heterogeneities and spatial distributions of CAFs, thus suggesting different functions of their subtypes in the PDAC microenvironment.

Indexed as

Cancer-Associated FibroblastsCarcinoma, Pancreatic DuctalPancreatic NeoplasmsTumor MicroenvironmentAgedBiomarkers, TumorFemaleHumansImage CytometryMaleMiddle AgedSingle-Cell AnalysisBiomarkers, Tumorcancer-associated fibroblasts (CAFs)Imaging Mass Cytometrymultiplexed histopathologypancreatic cancertumor microenvironment

Identifiers

PMID39575252
PMCPMC11578750

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