Evidence map›Paper›PMID 37840990›Full record

ArticleData in brief2023

A dataset of chromosomal instability gene signature scores in normal and cancer cells from the human breast.

Shahnawaz A Baba, Shreyas Labhsetwar, Richard Klemke, Jay S Desgrosellier

Abstract read
In one paragraph

Article in Data in brief, 2023. 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. 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.

Shahnawaz A BabaDepartment of Pathology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Shreyas LabhsetwarDepartment of Pathology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Richard KlemkeDepartment of Pathology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Jay S DesgrosellierDepartment of Pathology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

These data show the relative amount of chromosomal instability (CIN) in a diverse array of human breast cell types, including non-transformed mammary epithelial cells as well as cancer cell lines. Additional data is also provided from human embryonic and mesenchymal stem cells. To produce this dataset, we compared a published chromosomal instability gene signature against publicly available datasets containing gene expression information for each cell. We then analyzed these data with the Python GSEAPY software package to provide a CIN enrichment score. These data are useful for comparing the relative amounts of CIN in different breast cell types. This includes cells representing the major clinical (ER/PR

Indexed as

Breast cancer subtypeCancer stem cellChromosomal missegregationSignaling stateStress toleranceTumor initiation

Identifiers

PMID37840990
PMCPMC10568552

What OpenQuestion holds

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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.