Evidence map›Paper›PMID 37137498›Full record

ReviewCold Spring Harbor perspectives in medicine2024

Gene-Expression Profiling to Decipher Breast Cancer Inter- and Intratumor Heterogeneity.

Alexander Swarbrick, Aranzazu Fernandez-Martinez, Charles M Perou

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  16. Breast Cancer.Cold Spring Harbor perspectives in medicine · 2024
    Review
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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.

Alexander SwarbrickCancer Ecosystems Program, Garvan Institute of Medical Research, Darlinghurst, New South Wales 2010, Australia a.swarbrick@garvan.org.au.ORCID 0000-0002-3051-5676
Aranzazu Fernandez-MartinezLineberger Comprehensive Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Charles M PerouLineberger Comprehensive Center, University of North Carolina, Chapel Hill, North Carolina 27599, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is heterogeneous and differs substantially across different tumors (intertumor heterogeneity) and even within an individual tumor (intratumor heterogeneity). Gene-expression profiling has considerably impacted our understanding of breast cancer biology. Four main "intrinsic subtypes" of breast cancer (i.e., luminal A, luminal B, HER2-enriched, and basal-like) have been consistently identified by gene expression, showing significant prognostic and predictive value in multiple clinical scenarios. Thanks to the molecular profiling of breast tumors, breast cancer is a paradigm of treatment personalization. Several standardized prognostic gene-expression assays are presently being used in the clinic to guide treatment decisions. Moreover, the development of single-cell-level resolution molecular profiling has allowed us to appreciate that breast cancer is also heterogeneous within a single tumor. There is an evident functional heterogeneity within the neoplastic and tumor microenvironment cells. Finally, emerging insights from these studies suggest a substantial cellular organization of neoplastic and tumor microenvironment cells, thus defining breast cancer ecosystems and highlighting the importance of spatial localizations.

Indexed as

Breast NeoplasmsEcosystemFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisTumor Microenvironment

Identifiers

PMID37137498
PMCPMC10759991

What OpenQuestion holds

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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.