Evidence map›Paper›PMID 38926762›Full record

ReviewJournal of translational medicine2024

TGF-β signaling: critical nexus of fibrogenesis and cancer.

Anna O Giarratana, Conor M Prendergast, Mary M Salvatore, Kathleen M Capaccione

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 3 pooled it
–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

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

86 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
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  7. BMJ open gastroenterology · 2026
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  15. Synthesis and Anticancer Activity of New Quinazolin-4(3Pharmaceuticals (Basel, Switzerland) · 2026
    Article
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26 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

4 authors.

Anna O GiarratanaNorthwell Health - Peconic Bay Medical Center, 1 Heroes Way, Riverhead, NY, 11901, USA. agiarratana@northwell.edu.ORCID 0000-0002-6734-7901
Conor M PrendergastNew York Medical College, Valhalla, NY, 10595, USA.
Mary M SalvatoreDepartment of Radiology, Columbia University, New York, NY, 11032, USA.
Kathleen M CapaccioneDepartment of Radiology, Columbia University, New York, NY, 11032, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transforming growth factor-beta (TGF-β) signaling pathway is a vital regulator of cell proliferation, differentiation, apoptosis, and extracellular matrix production. It functions through canonical SMAD-mediated processes and noncanonical pathways involving MAPK cascades, PI3K/AKT, Rho-like GTPases, and NF-κB signaling. This intricate signaling system is finely tuned by interactions between canonical and noncanonical pathways and plays key roles in both physiologic and pathologic conditions including tissue homeostasis, fibrosis, and cancer progression. TGF-β signaling is known to have paradoxical actions. Under normal physiologic conditions, TGF-β signaling promotes cell quiescence and apoptosis, acting as a tumor suppressor. In contrast, in pathological states such as inflammation and cancer, it triggers processes that facilitate cancer progression and tissue remodeling, thus promoting tumor development and fibrosis. Here, we detail the role that TGF-β plays in cancer and fibrosis and highlight the potential for future theranostics targeting this pathway.

Indexed as

FibrosisNeoplasmsSignal TransductionTransforming Growth Factor betaAnimalsHumansTransforming Growth Factor betaCancerCell signalingFibrosisPrecision medicineTGF-βTheranostics

Identifiers

PMID38926762
PMCPMC11201862

What OpenQuestion holds

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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.