Evidence map›Paper›PMID 30181541›Full record

ArticleNature communications2018

Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq.

Mihriban Karaayvaz, Simona Cristea, Shawn M Gillespie, Anoop P Patel, Ravindra Mylvaganam, Christina C Luo, Michelle C Specht, Bradley E Bernstein, Franziska Michor, Leif W Ellisen

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 315 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
315citing papers in PubMed, 1 pooled it
19.5field-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

315 citing papers in PubMed, 1 synthesis or guideline pooled it, 491 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. MRI-based perfusion-diffusion habitat analysis for characterizing intratumoral heterogeneity in rectal adenocarcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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  12. Game of clones: decipher lineage plasticity in hormone-driven cancers.Cellular and molecular life sciences : CMLS · 2026
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  20. Applications of single-cell transcriptomics: updated insights in endometrial cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review

255 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

10 authors at 2 institutions in 1 country.

Mihriban KaraayvazCenter for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Simona CristeaDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA.
Shawn M GillespieCenter for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Anoop P PatelDepartment of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Ravindra MylvaganamCenter for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Christina C LuoCenter for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.ORCID http://orcid.org/0000-0001-9872-7432
Michelle C SpechtDepartment of Surgical Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Bradley E BernsteinCenter for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA.
Franziska MichorDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA. michor@jimmy.harvard.edu.ORCID http://orcid.org/0000-0003-4869-8842
Leif W EllisenCenter for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA. lellisen@mgh.harvard.edu.
Harvard University · USBroad Institute · US

Funding

Project 3: Single Cell Measures of Intratumor Diversity for Optimal Breast Cancer TherapyU54CA193461 · NCI · DANA-FARBER CANCER INST · PI HOLLAND, ERIC C., MICHOR, FRANZISKA · 2015 to 2020
$11.2M
NCI NIH HHS U54 CA193461
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by extensive intratumoral heterogeneity. To investigate the underlying biology, we conducted single-cell RNA-sequencing (scRNA-seq) of >1500 cells from six primary TNBC. Here, we show that intercellular heterogeneity of gene expression programs within each tumor is variable and largely correlates with clonality of inferred genomic copy number changes, suggesting that genotype drives the gene expression phenotype of individual subpopulations. Clustering of gene expression profiles identified distinct subgroups of malignant cells shared by multiple tumors, including a single subpopulation associated with multiple signatures of treatment resistance and metastasis, and characterized functionally by activation of glycosphingolipid metabolism and associated innate immunity pathways. A novel signature defining this subpopulation predicts long-term outcomes for TNBC patients in a large cohort. Collectively, this analysis reveals the functional heterogeneity and its association with genomic evolution in TNBC, and uncovers unanticipated biological principles dictating poor outcomes in this disease.

Indexed as

AdultFemaleGene Expression Regulation, NeoplasticHumansLymph NodesMiddle AgedPrognosisSequence Analysis, RNASingle-Cell AnalysisTranscriptomeTriple Negative Breast Neoplasms

Identifiers

PMID30181541
PMCPMC6123496
OpenAlexW2889213939

What OpenQuestion holds

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LicenceCC BY
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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.