Evidence map›Paper›PMID 29849939›Full record

ArticleOncotarget2018

Macrophage inflammatory factors promote epithelial-mesenchymal transition in breast cancer.

Robert B Bednarczyk, Neha Y Tuli, Elyse K Hanly, Ghada Ben Rahoma, Rachana Maniyar, Abraham Mittelman, Jan Geliebter, Raj K Tiwari

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

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  18. Plasticity towards Rigidity: A Macrophage Conundrum in Pulmonary Fibrosis.International journal of molecular sciences · 2022
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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

8 authors at 1 institution in 1 country.

Robert B BednarczykDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Neha Y TuliDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Elyse K HanlyDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Ghada Ben RahomaDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Rachana ManiyarDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Abraham MittelmanDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Jan GeliebterDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
Raj K TiwariDepartment of Microbiology and Immunology, New York Medical College, Valhalla, NY, USA.
New York Medical College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of breast cancers (90-95%) arise due to mediators distinct from inherited genetic mutations. One major mediator of breast cancer involves chronic inflammation. M1 macrophages are an integral component of chronic inflammation and the breast cancer tumor microenvironment (TME). Previous studies have demonstrated that up to 50% of the breast tumor comprise of tumor-associated macrophages (TAMs) and increased TAM infiltration has been associated with poor patient prognosis. Furthermore, breast cancer associated deaths are predominantly attributed to invasive cancers and metastasis with epithelial-mesenchymal transition (EMT) being implicated. In this study, we investigated the effects of cellular crosstalk between TAMs and breast cancer using an

Indexed as

epithelial-mesenchymal transitioninflammationM1 macrophagesmetastasissecretory factors

Identifiers

PMID29849939
PMCPMC5966261
OpenAlexW2800062466

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.