Evidence map›Paper›PMID 28754978›Full record

ArticleScientific reports2017

Integrated diagnostic network construction reveals a 4-gene panel and 5 cancer hallmarks driving breast cancer heterogeneity.

Xiaofeng Dai, Tongyan Hua, Tingting Hong

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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, 2 syntheses or guidelines pooled it.

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  16. Differential expression of full-length and NHAmerican journal of physiology. Gastrointestinal and liver physiology · 2020
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  19. Biomarkers in critical care nutrition.Critical care (London, England) · 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

3 authors.

Xiaofeng DaiNational Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China. 1281423490@qq.com.
Tongyan HuaNational Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, China.
Tingting HongDepartment of medical oncology, the affiliated hospital of Jiangnan University, the fourth people's hospital of Wuxi, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer encompasses a group of heterogeneous diseases, each associated with distinct clinical implications. Dozens of molecular biomarkers capable of categorizing tumors into clinically relevant subgroups have been proposed which, though considerably contribute in precision medicine, complicate our understandings toward breast cancer subtyping and its clinical translation. To decipher the networking of markers with diagnostic roles on breast carcinomas, we constructed the diagnostic networks by incorporating 6 publically available gene expression datasets with protein interaction data retrieved from BioGRID on previously identified 1015 genes with breast cancer subtyping roles. The Greedy algorithm and mutual information were used to construct the integrated diagnostic network, resulting in 37 genes enclosing 43 interactions. Four genes, FAM134B, KIF2C, ALCAM, KIF1A, were identified having comparable subtyping efficacies with the initial 1015 genes evaluated by hierarchical clustering and cross validations that deploy support vector machine and k nearest neighbor algorithms. Pathway, Gene Ontology, and proliferation marker enrichment analyses collectively suggest 5 primary cancer hallmarks driving breast cancer differentiation, with those contributing to uncontrolled proliferation being the most prominent. Our results propose a 37-gene integrated diagnostic network implicating 5 cancer hallmarks that drives breast cancer heterogeneity and, in particular, a 4-gene panel with clinical diagnostic translation potential.

Indexed as

AlgorithmsGenetic HeterogeneityActivated-Leukocyte Cell Adhesion MoleculeAntigens, CDBiomarkers, TumorBreast NeoplasmsCarcinomaCell Adhesion Molecules, NeuronalCell ProliferationFemaleFetal ProteinsHumansIntracellular Signaling Peptides and ProteinsKinesinsMembrane ProteinsNeoplasm ProteinsActivated-Leukocyte Cell Adhesion MoleculeALCAM protein, humanAntigens, CDBiomarkers, TumorCell Adhesion Molecules, NeuronalFetal ProteinsIntracellular Signaling Peptides and ProteinsKIF1A protein, humanKIF2C protein, humanKinesinsMembrane ProteinsNeoplasm ProteinsRETREG1 protein, human

Identifiers

PMID28754978
PMCPMC5533795

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Registered trials

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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.