Evidence map›Paper›PMID 32840210›Full record

ArticleeLife2020

Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer.

Syn Kok Yeo, Xiaoting Zhu, Takako Okamoto, Mingang Hao, Cailian Wang, Peixin Lu, Long Jason Lu, Jun-Lin Guan

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
3.8field-weighted citation impact, top 5% of its field
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

50 citing papers in PubMed, 69 citations in OpenAlex.

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  11. CXCR4Nature communications · 2025
    Article
  12. Drosophila Intestine as a Model to Study Tumors.Advances in experimental medicine and biology · 2025
    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

8 authors at 3 institutions in 2 countries.

Syn Kok Yeo *Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, United States.ORCID 0000-0002-4333-2510
Xiaoting Zhu *Division of Biomedical Informatics, Cincinnati Children's Hospital Research Foundation, Cincinnati, United States.
Takako OkamotoDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, United States.
Mingang HaoDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, United States.
Cailian WangSchool of Information Management, Wuhan University, Wuhan, China.
Peixin LuDivision of Biomedical Informatics, Cincinnati Children's Hospital Research Foundation, Cincinnati, United States.
Long Jason LuDivision of Biomedical Informatics, Cincinnati Children's Hospital Research Foundation, Cincinnati, United States.
Jun-Lin GuanDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, United States.ORCID 0000-0001-8720-8338
University of Cincinnati Medical Center · USCincinnati Children's Hospital Medical Center · USWuhan University · CN

Funding

Mechanisms of progression of vascular malformation to lymphangiosarcomaR01HL073394 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GUAN, JUN-LIN · 2003 to 2025
$8.4M
Regulation of Neural Stem Cells and Neurogenesis by Autophagy GenesR01NS094144 · NINDS · UNIVERSITY OF CINCINNATI · PI GUAN, JUN-LIN · 2015 to 2024
$3.6M
Mechanisms of FIP200 regulation of breast cancer through its autophagy and non-autophagy functionsR01CA211066 · NCI · UNIVERSITY OF CINCINNATI · PI JUN-LIN GUAN · 2017 to 2026
$3.4M
A Network-based Approach to Associate HDL Subspeciation with FunctionR01HL111829 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI LU, LONG · 2012 to 2016
$2.6M
NCI NIH HHS R01 CA211066NHLBI NIH HHS R01 HL073394NHLBI NIH HHS R01 HL111829NINDS NIH HHS R01 NS094144
6 · The paper itself

Abstract

Breast cancer stem cells (BCSCs) contribute to intra-tumoral heterogeneity and therapeutic resistance. However, the binary concept of universal BCSCs co-existing with bulk tumor cells is over-simplified. Through single-cell RNA-sequencing, we found that Neu, PyMT and BRCA1-null mammary tumors each corresponded to a spectrum of minimally overlapping cell differentiation states without a universal BCSC population. Instead, our analyses revealed that these tumors contained distinct lineage-specific tumor propagating cells (TPCs) and this is reflective of the self-sustaining capabilities of lineage-specific stem/progenitor cells in the mammary epithelial hierarchy. By understanding the respective tumor hierarchies, we were able to identify CD14 as a TPC marker in the Neu tumor. Additionally, single-cell breast cancer subtype stratification revealed the co-existence of multiple breast cancer subtypes within tumors. Collectively, our findings emphasize the need to account for lineage-specific TPCs and the hierarchical composition within breast tumors, as these heterogenous sub-populations can have differential therapeutic susceptibilities.

Indexed as

Cell LineageAnimalsBreast NeoplasmsDisease Models, AnimalFemaleMammary Neoplasms, ExperimentalMiceNeoplastic Stem CellsRNA-SeqSingle-Cell Analysisbreast cancercancer biologycancer stem cellsgeneticsgenomicsheterogeneitymousesingle-cell transcriptomics

Identifiers

PMID32840210
PMCPMC7447441
OpenAlexW3080460314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.