Evidence map›Paper›PMID 27586372›Full record

ReviewSeminars in cancer biology2017

TGFΒ-induced transcription in cancer.

Gaia Cantelli, Eva Crosas-Molist, Mirella Georgouli, Victoria Sanz-Moreno

Open access · hybridAbstract readReview
In one paragraph

Review in Seminars in cancer biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

61 citing papers in PubMed, 126 citations in OpenAlex.

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  13. Epigenetic Regulation of MAP3K8 in EBV-Associated Gastric Carcinoma.International journal of molecular sciences · 2023
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1 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 at 1 institution in 1 country.

Gaia CantelliTumour Plasticity Laboratory, Randall Division of Cell and Molecular Biophysics, New Hunt's House, Guy's Campus, King's College London, London SE1 1UL, UK.
Eva Crosas-MolistTumour Plasticity Laboratory, Randall Division of Cell and Molecular Biophysics, New Hunt's House, Guy's Campus, King's College London, London SE1 1UL, UK.
Mirella GeorgouliTumour Plasticity Laboratory, Randall Division of Cell and Molecular Biophysics, New Hunt's House, Guy's Campus, King's College London, London SE1 1UL, UK.
Victoria Sanz-MorenoTumour Plasticity Laboratory, Randall Division of Cell and Molecular Biophysics, New Hunt's House, Guy's Campus, King's College London, London SE1 1UL, UK. Electronic address: victoria.sanz_moreno@kcl.ac.uk.
King's College London · GB

Funding

Cancer Research UK 12065Cancer Research UK 24478Medical Research Council
6 · The paper itself

Abstract

The Transforming Growth Factor-beta (TGFβ) pathway mediates a broad spectrum of cellular processes and is involved in several diseases, including cancer. TGFβ has a dual role in tumours, acting as a tumour suppressor in the early phase of tumorigenesis and as a tumour promoter in more advanced stages. In this review, we discuss the effects of TGFβ-driven transcription on all stages of tumour progression, with special focus on lung cancer. Since some TGFβ target genes are specifically involved in promoting metastasis, we speculate that these genes might be good targets to block tumour progression without compromising the tumour suppressor effects of the TGFβ pathway.

Indexed as

Transcription, GeneticCell Transformation, NeoplasticGenes, Tumor SuppressorHumansNeoplasmsNeoplasm StagingSignal TransductionTransforming Growth Factor betaTransforming Growth Factor betaCancerEMTImmunosurveillanceMetastasisTGFβTranscription

Identifiers

PMID27586372
PMCPMC6137079
OpenAlexW2515020216

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.