Evidence map›Paper›PMID 30211312›Full record

ArticleNPJ breast cancer2018

Genomic and expression profiling reveal molecular heterogeneity of disseminated tumor cells in bone marrow of early breast cancer.

Mark Jesus M Magbanua, Hope S Rugo, Louai Hauranieh, Ritu Roy, Janet H Scott, Jen Chieh Lee, Feng Hsiao, Eduardo V Sosa, Laura Van't Veer, Laura J Esserman and 1 more

Open access · goldAbstract read
In one paragraph

Article in NPJ breast cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 29 citations in OpenAlex.

  1. Feasibility ofGeburtshilfe und Frauenheilkunde · 2026
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  18. Differentiation and Regulation of TFrontiers in immunology · 2021
    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

11 authors at 1 institution in 1 country.

Mark Jesus M Magbanua1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
Hope S Rugo1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
Louai Hauranieh1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
Ritu Roy2Helen Diller Family Comprehensive Cancer Center and Computational Biology and Informatics, University of California, San Francisco, San Francisco, CA USA.
Janet H Scott1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
Jen Chieh Lee1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
Feng Hsiao1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
Eduardo V Sosa1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
Laura Van't Veer3Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA USA.
Laura J Esserman4Department of Surgery, University of California, San Francisco, San Francisco, CA USA.
John W Park1Division of Hematology/Oncology, University of California, San Francisco, San Francisco, CA USA.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of disseminated tumor cells (DTCs) in bone marrow is an established negative prognostic factor. We isolated small pools of (~20) EPCAM-positive DTCs from early breast cancer patients for genomic profiling. Genome-wide copy number profiles of DTC pools (

Identifiers

PMID30211312
PMCPMC6125436
OpenAlexW2889146374

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.