Evidence map›Paper›PMID 38242124›Full record

ArticleCancer cell2024

Cancer-associated fibroblast phenotypes are associated with patient outcome in non-small cell lung cancer.

Lena Cords, Stefanie Engler, Martina Haberecker, Jan Hendrik Rüschoff, Holger Moch, Natalie de Souza, Bernd Bodenmiller

Open access · hybridAbstract read
In one paragraph

Article in Cancer cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed
52.7field-weighted citation impact, top 1% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

217 citing papers in PubMed, 219 citations in OpenAlex.

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  10. Chlorin e6-mediated sublethal photodynamic therapy modulates biomarkers in a murine lung cancer-derived in vitro cancer-associated fibroblast model.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
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  16. APOEScience advances · 2026
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157 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Lena CordsDepartment of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland; Life Science Zurich Graduate School, ETH Zurich and University of Zurich, 8057 Zurich, Switzerland.
Stefanie EnglerDepartment of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland.
Martina HabereckerDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Jan Hendrik RüschoffDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Holger MochDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Natalie de SouzaDepartment of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland.
Bernd BodenmillerDepartment of Quantitative Biomedicine, University of Zurich, 8057 Zurich, Switzerland; Institute of Molecular Health Sciences, ETH Zurich, 8049 Zurich, Switzerland. Electronic address: bernd.bodenmiller@uzh.ch.
University of Zurich · CHUniversity Hospital of Zurich · CH

Funding

Single-Cell Analyses of Human Islets in T1D Using Highly Multiplexed ImagingUC4DK108132 · NIDDK · UNIVERSITY OF FLORIDA · PI ATKINSON, MARK A., BODENMILLER, BERND · 2015 to 2015
$3.6M
NIDDK NIH HHS UC4 DK108132
6 · The paper itself

Abstract

Despite advances in treatment, lung cancer survival rates remain low. A better understanding of the cellular heterogeneity and interplay of cancer-associated fibroblasts (CAFs) within the tumor microenvironment will support the development of personalized therapies. We report a spatially resolved single-cell imaging mass cytometry (IMC) analysis of CAFs in a non-small cell lung cancer cohort of 1,070 patients. We identify four prognostic patient groups based on 11 CAF phenotypes with distinct spatial distributions and show that CAFs are independent prognostic factors for patient survival. The presence of tumor-like CAFs is strongly correlated with poor prognosis. In contrast, inflammatory CAFs and interferon-response CAFs are associated with inflamed tumor microenvironments and higher patient survival. High density of matrix CAFs is correlated with low immune infiltration and is negatively correlated with patient survival. In summary, our data identify phenotypic and spatial features of CAFs that are associated with patient outcome in NSCLC.

Indexed as

Cancer-Associated FibroblastsCarcinoma, Non-Small-Cell LungLung NeoplasmsFibroblastsHumansPhenotypePrognosisTumor MicroenvironmentCancer-associated fibroblastsImaging mass cytometryNon-small cell lung cancerSingle cellSpatial analysis

Identifiers

PMID38242124
PMCPMC10929690
OpenAlexW4390972792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.