Evidence map›Paper›PMID 41771575›Full record

ArticleCancer genomics & proteomics

Co-expression of

Yuka Nagashima, Megumi Ogino, Ranman Okiyama, Ryosuke Chiwaki, Hayato Ishii, Kana Nohata, Ayaka Nakahara, Ayaka Ozaki, Takahiro Kasai, Shoma Tamori and 3 more

Abstract read
In one paragraph

Article in Cancer genomics & proteomics. 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

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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Yuka Nagashima *Department of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Megumi Ogino *Department of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Ranman OkiyamaDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Ryosuke ChiwakiDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Hayato IshiiDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Kana NohataDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Ayaka NakaharaDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Ayaka OzakiDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Takahiro KasaiDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Shoma TamoriDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan.
Shigeo OhnoLaboratory of Cancer Biology, Institute for Diseases of Old Age, Juntendo University School of Medicine, Tokyo, Japan.
Kazunori SasakiLaboratory of Cancer Biology, Institute for Diseases of Old Age, Juntendo University School of Medicine, Tokyo, Japan; akimoto@rs.tus.ac.jp k.sasaki.yb@juntendo.ac.jp.
Kazunori AkimotoDepartment of Medicinal and Life Sciences, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Tokyo, Japan; akimoto@rs.tus.ac.jp k.sasaki.yb@juntendo.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimThe association between the expression of protein kinase C zeta ( MATERIALS AND

methodsClinical and gene expression data from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset (n=2,509) were analyzed using Kaplan-Meier and Cox proportional hazards models. The findings were validated using The Cancer Genome Atlas (TCGA) Pan-Cancer Atlas dataset (n=1,084).

resultsIn the METABRIC dataset, high

conclusion

Indexed as

Aldehyde OxidoreductasesBreast NeoplasmsProtein Kinase CBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansNeoplastic Stem CellsPrognosisProtein Kinase C zetaaldehyde dehydrogenase (NAD(P)+)Aldehyde OxidoreductasesBiomarkers, TumorProtein Kinase CProtein Kinase C zetaALDH1A3Basal-like breast cancerchemotherapyPKCζ

Identifiers

PMID41771575
PMCPMC12951394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.