Evidence map›Paper›PMID 31461652›Full record

ArticleCell reports2019

Dualism of FGF and TGF-β Signaling in Heterogeneous Cancer-Associated Fibroblast Activation with ETV1 as a Critical Determinant.

Pino Bordignon, Giulia Bottoni, Xiaoying Xu, Alma S Popescu, Zinnia Truan, Emmanuella Guenova, Lukas Kofler, Paris Jafari, Paola Ostano, Martin Röcken and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

75 citing papers in PubMed, 118 citations in OpenAlex.

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15 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

12 authors at 5 institutions in 4 countries.

Pino BordignonDepartment of Biochemistry, University of Lausanne, Epalinges 1066, Switzerland.
Giulia BottoniDepartment of Biochemistry, University of Lausanne, Epalinges 1066, Switzerland; Cutaneous Biology Research Center, Massachusetts General Hospital, Boston, MA 02129, USA.
Xiaoying XuDepartment of Biochemistry, University of Lausanne, Epalinges 1066, Switzerland.
Alma S PopescuDepartment of Biochemistry, University of Lausanne, Epalinges 1066, Switzerland.
Zinnia TruanDepartment of Otolaryngology-Head and Neck Surgery, Lausanne University Hospital and University of Lausanne, Lausanne 1011, Switzerland.
Emmanuella GuenovaDepartment of Dermatology, University Hospital Zurich, University of Zurich, Zurich 8091, Switzerland.
Lukas KoflerDepartment of Dermatology, Eberhard Karls University, Tübingen 72076, Germany.
Paris JafariDepartment of Biochemistry, University of Lausanne, Epalinges 1066, Switzerland; Cutaneous Biology Research Center, Massachusetts General Hospital, Boston, MA 02129, USA; International Cancer Prevention Institute, Epalinges 1066, Switzerland.
Paola OstanoCancer Genomics Laboratory, Edo and Elvo Tempia Valenta Foundation, Biella 13900, Italy.
Martin RöckenDepartment of Dermatology, Eberhard Karls University, Tübingen 72076, Germany.
Victor NeelDepartment of Dermatology, Massachusetts General Hospital, Boston, MA 02114, USA.
G Paolo DottoDepartment of Biochemistry, University of Lausanne, Epalinges 1066, Switzerland; Cutaneous Biology Research Center, Massachusetts General Hospital, Boston, MA 02129, USA; International Cancer Prevention Institute, Epalinges 1066, Switzerland. Electronic address: paolo.dotto@unil.ch.
University of Lausanne · CHMassachusetts General Hospital · USUniversity of Tübingen · DEFondazione Edo ed Elvo Tempia · ITUniversity Hospital of Zurich · CH

Funding

GROWTH DIFFERENTIATION CONTROL IN PRIMARY KERATINOCYTES.R01AR039190 · NIAMS · YALE UNIVERSITY · PI DOTTO, GIAN-PAOLO · 1988 to 2021
$9.5M
Dermal fibroblast/ATF3 control of skin homeostasisR01AR064786 · NIAMS · MASSACHUSETTS GENERAL HOSPITAL · PI DOTTO, GIAN-PAOLO · 2014 to 2018
$1.9M
NIAMS NIH HHS R01 AR039190NIAMS NIH HHS R01 AR064786
6 · The paper itself

Abstract

Heterogeneity of cancer-associated fibroblasts (CAFs) can result from activation of distinct signaling pathways. We show that in primary human dermal fibroblasts (HDFs), fibroblast growth factor (FGF) and transforming growth factor β (TGF-β) signaling oppositely modulate multiple CAF effector genes. Genetic abrogation or pharmacological inhibition of either pathway results in induction of genes responsive to the other, with the ETV1 transcription factor mediating the FGF effects. Duality of FGF/TGF-β signaling and differential ETV1 expression occur in multiple CAF strains and fibroblasts of desmoplastic versus non-desmoplastic skin squamous cell carcinomas (SCCs). Functionally, HDFs with opposite TGF-β versus FGF modulation converge on promoting cancer cell proliferation. However, HDFs with increased TGF-β signaling enhance invasive properties and epithelial-mesenchymal transition (EMT) of SCC cells, whereas HDFs with increased FGF signaling promote macrophage infiltration. The findings point to a duality of FGF versus TGF-β signaling in distinct CAF populations that promote cancer development through modulation of different processes.

Indexed as

Signal TransductionAnimalsCancer-Associated FibroblastsCarcinoma, Squamous CellCells, CulturedChild, PreschoolDNA-Binding ProteinsEpithelial-Mesenchymal TransitionFemaleFibroblast Growth FactorsHumansMaleMiceMice, Inbred C57BLMice, Inbred NODSkin NeoplasmsDNA-Binding ProteinsETV1 protein, humanFibroblast Growth FactorsTranscription FactorsTransforming Growth Factor betaCAFcancer-associated fibroblastsEMTETV1FGFinflammationmacrophagesSCCskin cancerTGF-β

Identifiers

PMID31461652
PMCPMC6718812
OpenAlexW2970893384

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.