Evidence map›Paper›PMID 29301506›Full record

ArticleBMC cancer2018

The exploration of contrasting pathways in Triple Negative Breast Cancer (TNBC).

Shavira Narrandes, Shujun Huang, Leigh Murphy, Wayne Xu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Alternative splicing of leptin receptor overlapping transcript in osteosarcoma.Experimental biology and medicine (Maywood, N.J.) · 2020
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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

4 authors at 1 institution in 1 country.

Shavira NarrandesResearch Institute of Oncology and Hematology, CancerCare Manitoba & University of Manitoba, Winnipeg, Canada.
Shujun HuangResearch Institute of Oncology and Hematology, CancerCare Manitoba & University of Manitoba, Winnipeg, Canada.
Leigh MurphyDepartment of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, Canada.
Wayne XuResearch Institute of Oncology and Hematology, CancerCare Manitoba & University of Manitoba, Winnipeg, Canada. Wayne.xu@umanitoba.ca.
University of Manitoba · CA

Funding

Canadian Breast Cancer Foundation 130,000 CAD
6 · The paper itself

Abstract

backgroundTriple Negative Breast Cancers (TNBCs) lack the appropriate targets for currently used breast cancer therapies, conferring an aggressive phenotype, more frequent relapse and poorer survival rates. The biological heterogeneity of TNBC complicates the clinical treatment further. We have explored and compared the biological pathways in TNBC and other subtypes of breast cancers, using an in silico approach and the hypothesis that two opposing effects (Yin and Yang) pathways in cancer cells determine the fate of cancer cells. Identifying breast subgroup specific components of these opposing pathways may aid in selecting potential therapeutic targets as well as further classifying the heterogeneous TNBC subtype.

methodsGene expression and patient clinical data from The Cancer Genome Atlas (TCGA) and the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) were used for this study. Gene Set Enrichment Analysis (GSEA) was used to identify the more active pathways in cancer (Yin) than in normal and the more active pathways in normal (Yang) than in cancer. The clustering analysis was performed to compare pathways of TNBC with other types of breast cancers. The association of pathway classified TNBC sub-groups to clinical outcomes was tested using Cox regression model.

resultsAmong 4729 curated canonical pathways in GSEA database, 133 Yin pathways (FDR < 0.05) and 71 Yang pathways (p-value <0.05) were discovered in TNBC. The FOXM1 is the top Yin pathway while PPARα is the top Yang pathway in TNBC. The TNBC and other types of breast cancers showed different pathways enrichment significance profiles. Using top Yin and Yang pathways as classifier, the TNBC can be further subtyped into six sub-groups each having different clinical outcomes.

conclusionWe first reported that the FOMX1 pathway is the most upregulated and the PPARα pathway is the most downregulated pathway in TNBC. These two pathways could be simultaneously targeted in further studies. Also the pathway classifier we performed in this study provided insight into the TNBC heterogeneity.

Indexed as

Computer SimulationFemaleForkhead Box Protein M1Gene Expression ProfilingGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansNeoplasm Recurrence, LocalPPAR alphaSignal TransductionTriple Negative Breast NeoplasmsForkhead Box Protein M1FOXM1 protein, humanPPAR alphaDrug targetFOXM1PathwayPPARαTriple Negative Breast Cancer

Identifiers

PMID29301506
PMCPMC5753474
OpenAlexW2782007985

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.