Evidence map›Paper›PMID 20180146›Full record

ArticleClinical & experimental metastasis2010

Tumor-promoting role of signal transducer and activator of transcription (Stat)1 in late-stage melanoma growth.

Julia Schultz, Dirk Koczan, Ulf Schmitz, Saleh M Ibrahim, Dominik Pilch, Jenny Landsberg, Manfred Kunz

Abstract read
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In one paragraph

Article in Clinical & experimental metastasis, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

22 citing papers in PubMed, 40 citations in OpenAlex.

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  5. Predicting STAT1 as a prognostic marker in patients with solid cancer.Therapeutic advances in medical oncology · 2020
    Article
  6. Immunotherapeutic Challenges for Pediatric Cancers.Molecular therapy oncolytics · 2019
    Review
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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

7 authors at 3 institutions in 1 country.

Julia SchultzInstitute of Medical Biochemistry and Molecular Biology, University of Rostock, Rostock, Germany. schultzj@gmx.de
Dirk Koczan
Ulf Schmitz
Saleh M Ibrahim
Dominik Pilch
Jenny Landsberg
Manfred Kunz
University of Lübeck · DEUniversity of Rostock · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large-scale gene expression study of melanoma metastases was performed to identify genes involved in late-stage tumor progression. Overall 248 genes, out of more than 47,000 tested, are differentially expressed when comparing peripheral areas (invasion front) with central tumor areas of melanoma metastases. As determined by gene ontology analysis, members of the STAT signaling pathway show significant enrichment. In particular, Stat1 is highly expressed in peripheral compared with central tumor areas. In line with this, stable knockdown of STAT1 in metastatic melanoma cells significantly impairs their migratory and invasive capacity in wounding and matrigel assays. Moreover, STAT1 knockdown affects the metastatic behavior of melanoma cells in a mouse model of melanoma metastasis. Taken together, these data suggest that Stat1 might play a role in late-stage melanoma progression. Interference with the Stat1 pathway could have therapeutic implications for late-stage melanoma patients.

Indexed as

AnimalsBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansImmunoblottingImmunohistochemistryMelanomaMiceMice, NudeMicroarray AnalysisNeoplasm InvasivenessNeoplasm StagingBiomarkers, TumorSTAT1 Transcription Factor

Identifiers

PMID20180146
OpenAlexW2088339110

What OpenQuestion holds

Textmetadata
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.