Evidence map›Paper›PMID 32455670›Full record

ArticleCancers2020

Single-Cell Transcriptomic Analysis of Tumor-Derived Fibroblasts and Normal Tissue-Resident Fibroblasts Reveals Fibroblast Heterogeneity in Breast Cancer.

Aimy Sebastian, Nicholas R Hum, Kelly A Martin, Sean F Gilmore, Ivana Peran, Stephen W Byers, Elizabeth K Wheeler, Matthew A Coleman, Gabriela G Loots

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
178citing papers in PubMed, 1 pooled it
11.8field-weighted citation impact, top 1% 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

178 citing papers in PubMed, 1 synthesis or guideline pooled it, 264 citations in OpenAlex.

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118 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Aimy SebastianPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0002-7822-7040
Nicholas R HumPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0003-1605-3193
Kelly A MartinPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Sean F GilmorePhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Ivana PeranGeorgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University Medical Center, Washington, DC 20007, USA.ORCID 0000-0001-7399-7452
Stephen W ByersGeorgetown-Lombardi Comprehensive Cancer Center, Department of Oncology, Georgetown University Medical Center, Washington, DC 20007, USA.
Elizabeth K WheelerEngineering Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Matthew A ColemanPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.
Gabriela G LootsPhysical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.ORCID 0000-0001-9546-5561
Lawrence Livermore National Laboratory · USGeorgetown University · US

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
Lawrence Livermore National Laboratory LDRD-19-SI-003, LDRD-17-ER-121NIH HHS P30CA093373
6 · The paper itself

Abstract

Cancer-associated fibroblasts (CAFs) are a prominent stromal cell type in solid tumors and molecules secreted by CAFs play an important role in tumor progression and metastasis. CAFs coexist as heterogeneous populations with potentially different biological functions. Although CAFs are a major component of the breast cancer stroma, molecular and phenotypic heterogeneity of CAFs in breast cancer is poorly understood. In this study, we investigated CAF heterogeneity in triple-negative breast cancer (TNBC) using a syngeneic mouse model, BALB/c-derived 4T1 mammary tumors. Using single-cell RNA sequencing (scRNA-seq), we identified six CAF subpopulations in 4T1 tumors including: 1) myofibroblastic CAFs, enriched for α-smooth muscle actin and several other contractile proteins; 2) 'inflammatory' CAFs with elevated expression of inflammatory cytokines; and 3) a CAF subpopulation expressing major histocompatibility complex (MHC) class II proteins that are generally expressed in antigen-presenting cells. Comparison of 4T1-derived CAFs to CAFs from pancreatic cancer revealed that these three CAF subpopulations exist in both tumor types. Interestingly, cells with inflammatory and MHC class II-expressing CAF profiles were also detected in normal breast/pancreas tissue, suggesting that these phenotypes are not tumor microenvironment-induced. This work enhances our understanding of CAF heterogeneity, and specifically targeting these CAF subpopulations could be an effective therapeutic approach for treating highly aggressive TNBCs.

Indexed as

breast cancerCAF heterogeneitycancer-associated fibroblastsgene expression profilinginflammatory fibroblastsmammary fat padmyofibroblastsnormal fibroblastspancreatic cancerscRNA-seq

Identifiers

PMID32455670
PMCPMC7281266
OpenAlexW3026654828

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.