Evidence map›Paper›PMID 28966727›Full record

ArticleGenes & cancer2017

Identification of candidate genes associated with triple negative breast cancer.

Audrey Player, Nissi Abraham, Kayla Burrell, Iria Ondo Bengone, Anthony Harris, Lisa Nunez, Telisa Willaims, Sharon Kwende, Wiley Walls

Open access · diamondAbstract read
In one paragraph

Article in Genes & cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Audrey PlayerDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Nissi AbrahamDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Kayla BurrellDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Iria Ondo BengoneDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Anthony HarrisDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Lisa NunezDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Telisa WillaimsDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Sharon KwendeDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Wiley WallsDepartment of Biological Sciences, Texas Southern University, Houston, Texas, USA.
Texas Southern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When triple negative breast cancer (TNBC) are analyzed by gene expression profiling different subclasses are identified, at least one characterized by genes related to immune signaling mechanisms supporting the role of these genes in the cancers. In an earlier study we observed differences in TNBC cell lines with respect to their expression of the cytokine IL32. Our analyses showed that certain cell lines expressed higher levels of the cytokine compared to others. Because TNBC are heterogeneous and immune-related genes appear to play a pivotal role in these cancers, we chose to examine the transcriptomes of the different cell lines based on IL32 expression. We performed group analyses of TNBC cell lines demonstrating high IL32 compared to low IL32 levels and identified IL32, GATA3, MYBL1, ETS1, PTX3 and TMEM158 as differentially associated with a subpopulation of TNBC. The six candidate genes were validated experimental and in different patient datasets. The genes distinguished a subset of TNBC from other TNBC, and TNBC from normal, luminal A, luminal B, and HER2 patient samples. The current project serves as a preliminary study in which we outline the discovery and validation of our list of six candidate genes.

Indexed as

ETS1GATA3IL32MYBL1TMEM158

Identifiers

PMID28966727
PMCPMC5620011
OpenAlexW2990625873

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.