Evidence map›Paper›PMID 38867323›Full record

ArticleBreast cancer research : BCR2024

An essential gene signature of breast cancer metastasis reveals targetable pathways.

Yiqun Zhang, Fengju Chen, Marija Balic, Chad J Creighton

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Rat somatic genome editing enables ER+ breast cancer modeling.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. 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.

Yiqun Zhang *Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, MS305, Houston, TX, 77030, USA.
Fengju Chen *Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, MS305, Houston, TX, 77030, USA.
Marija BalicDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Chad J CreightonDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, MS305, Houston, TX, 77030, USA. creighto@bcm.edu.

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Suzanne AW Fuqua · 2007 to 2026
$73.9M
NIH HHS P30CA125123
6 · The paper itself

Abstract

backgroundThe differential gene expression profile of metastatic versus primary breast tumors represents an avenue for discovering new or underappreciated pathways underscoring processes of metastasis. However, as tumor biopsy samples are a mixture of cancer and non-cancer cells, most differentially expressed genes in metastases would represent confounders involving sample biopsy site rather than cancer cell biology.

methodsBy paired analysis, we defined a top set of differentially expressed genes in breast cancer metastasis versus primary tumors using an RNA-sequencing dataset of 152 patients from The Breast International Group Aiming to Understand the Molecular Aberrations dataset (BIG-AURORA). To filter the genes higher in metastasis for genes essential for breast cancer proliferation, we incorporated CRISPR-based data from breast cancer cell lines.

resultsA significant fraction of genes with higher expression in metastasis versus paired primary were essential by CRISPR. These 264 genes represented an essential signature of breast cancer metastasis. In contrast, nonessential metastasis genes largely involved tumor biopsy site. The essential signature predicted breast cancer patient outcome based on primary tumor expression patterns. Pathways underlying the essential signature included proteasome degradation, the electron transport chain, oxidative phosphorylation, and cancer metabolic reprogramming. Transcription factors MYC, MAX, HDAC3, and HCFC1 each bound significant fractions of essential genes.

conclusionsAssociations involving the essential gene signature of breast cancer metastasis indicate true biological changes intrinsic to cancer cells, with important implications for applying existing therapies or developing alternate therapeutic approaches.

Indexed as

Breast NeoplasmsGene Expression ProfilingGene Expression Regulation, NeoplasticNeoplasm MetastasisTranscriptomeBiomarkers, TumorCell Line, TumorFemaleGenes, EssentialHumansPrognosisSignal TransductionBiomarkers, Tumor

Identifiers

PMID38867323
PMCPMC11167932

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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.