Evidence map›Paper›PMID 33434192›Full record

ArticlePloS one2021

Efficient gene expression signature for a breast cancer immuno-subtype.

Ben Galili, Xavier Tekpli, Vessela N Kristensen, Zohar Yakhini

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Article
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.

Ben GaliliComputer Science Department, Technion - Israel Institute of Technology, Haifa, Israel.ORCID 0000-0003-3067-667X
Xavier TekpliDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Vessela N KristensenDepartment of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Zohar YakhiniComputer Science Department, Technion - Israel Institute of Technology, Haifa, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MOTIVATION AND

backgroundThe patient's immune system plays an important role in cancer pathogenesis, prognosis and susceptibility to treatment. Recent work introduced an immune related breast cancer. This subtyping is based on the expression profiles of the tumor samples. Specifically, one study showed that analyzing 658 genes can lead to a signature for subtyping tumors. Furthermore, this classification is independent of other known molecular and clinical breast cancer subtyping. Finally, that study shows that the suggested subtyping has significant prognostic implications.

resultsIn this work we develop an efficient signature associated with survival in breast cancer. We begin by developing a more efficient signature for the above-mentioned breast cancer immune-based subtyping. This signature represents better performance with a set of 579 genes that obtains an improved Area Under Curve (AUC). We then determine a set of 193 genes and an associated classification rule that yield subtypes with a much stronger statistically significant (log rank p-value < 2 × 10-4 in a test cohort) difference in survival. To obtain these improved results we develop a feature selection process that matches the high-dimensionality character of the data and the dual performance objectives, driven by survival and anchored by the literature subtyping.

Indexed as

Breast NeoplasmsBiomarkers, TumorDisease-Free SurvivalFemaleGene Expression Regulation, NeoplasticHumansSurvival RateTranscriptomeBiomarkers, Tumor

Identifiers

PMID33434192
PMCPMC7802952

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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.