Evidence map›Paper›PMID 26771357›Full record

ArticleStem cell reports2016

Identification of Distinct Breast Cancer Stem Cell Populations Based on Single-Cell Analyses of Functionally Enriched Stem and Progenitor Pools.

Nina Akrap, Daniel Andersson, Eva Bom, Pernilla Gregersson, Anders Ståhlberg, Göran Landberg

Abstract read
In one paragraph

Article in Stem cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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  4. Suppression of TNBC metastasis by doxazosin, a novel dual inhibitor of c-MET/EGFR.Journal of experimental & clinical cancer research : CR · 2023
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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

6 authors.

Nina AkrapDepartment of Pathology, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.
Daniel AnderssonDepartment of Pathology, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.
Eva BomDepartment of Pathology, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.
Pernilla GregerssonDepartment of Pathology, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.
Anders StåhlbergDepartment of Pathology, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden. Electronic address: anders.stahlberg@gu.se.
Göran LandbergDepartment of Pathology, Institute of Biomedicine, Sahlgrenska Cancer Center, Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden. Electronic address: goran.landberg@gu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of breast cancer cell subpopulations featuring truly malignant stem cell qualities is a challenge due to the complexity of the disease and lack of general markers. By combining extensive single-cell gene expression profiling with three functional strategies for cancer stem cell enrichment including anchorage-independent culture, hypoxia, and analyses of low-proliferative, label-retaining cells derived from mammospheres, we identified distinct stem cell clusters in breast cancer. Estrogen receptor (ER)α+ tumors featured a clear hierarchical organization with switch-like and gradual transitions between different clusters, illustrating how breast cancer cells transfer between discrete differentiation states in a sequential manner. ERα- breast cancer showed less prominent clustering but shared a quiescent cancer stem cell pool with ERα+ cancer. The cellular organization model was supported by single-cell data from primary tumors. The findings allow us to understand the organization of breast cancers at the single-cell level, thereby permitting better identification and targeting of cancer stem cells.

Indexed as

AnoikisBreast NeoplasmsCell DifferentiationCell HypoxiaCell Line, TumorCell ProliferationEstrogen Receptor alphaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMCF-7 CellsMicroscopy, ConfocalNeoplastic Stem CellsPhenotypePrincipal Component AnalysisESR1 protein, humanEstrogen Receptor alpha

Identifiers

PMID26771357
PMCPMC4719187

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.