Evidence map›Paper›PMID 27681436›Full record

ArticleCell reports2016

Mammary Tumor-Associated RNAs Impact Tumor Cell Proliferation, Invasion, and Migration.

Sarah D Diermeier, Kung-Chi Chang, Susan M Freier, Junyan Song, Osama El Demerdash, Alexander Krasnitz, Frank Rigo, C Frank Bennett, David L Spector

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Organoids in breast cancer translational research: intersection of technologies.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Review
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  6. Article
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  10. Article
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  12. Article
  13. Biomedical reports · 2023
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Noncoding RNAs: biology and applications-a Keystone Symposia report.Annals of the New York Academy of Sciences · 2021
    Review
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 3 institutions in 1 country.

Sarah D DiermeierCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Kung-Chi ChangCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Molecular and Cellular Biology Program, Stony Brook University, Stony Brook, NY 11794, USA.
Susan M FreierIonis Pharmaceuticals, Carlsbad, CA 92010, USA.
Junyan SongCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Osama El DemerdashCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA.
Alexander KrasnitzCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Frank RigoIonis Pharmaceuticals, Carlsbad, CA 92010, USA.
C Frank BennettIonis Pharmaceuticals, Carlsbad, CA 92010, USA.
David L SpectorCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA; Molecular and Cellular Biology Program, Stony Brook University, Stony Brook, NY 11794, USA. Electronic address: spector@cshl.edu.
Cold Spring Harbor Laboratory · USIonis Pharmaceuticals (United States) · USStony Brook University · US

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
VIRAL TRANSACTIVATIONP01CA013106 · NCI · COLD SPRING HARBOR LABORATORY · PI William Richard McCombie · 1985 to 2026
$116.8M
COMPUTATIONAL AND FUNCTIONAL APPROACHES TO VALIDATING CANCER GENOME TARGETSU01CA168409 · NCI · COLD SPRING HARBOR LABORATORY · PI POWERS, SCOTT · 2012 to 2016
$7.3M
Computational Framework for Single-Cell Genomics of TumorsU01CA188590 · NCI · COLD SPRING HARBOR LABORATORY · PI KRASNITZ, ALEXANDER, WIGLER, MICHAEL H · 2015 to 2017
$934k
NCI NIH HHS P01 CA013106NCI NIH HHS P30 CA045508NCI NIH HHS U01 CA168409NCI NIH HHS U01 CA188590
6 · The paper itself

Abstract

Long non-coding RNAs (lncRNAs) represent the largest and most diverse class of non-coding RNAs, comprising almost 16,000 currently annotated transcripts in human and 10,000 in mouse. Here, we investigated the role of lncRNAs in mammary tumors by performing RNA-seq on tumor sections and organoids derived from MMTV-PyMT and MMTV-Neu-NDL mice. We identified several hundred lncRNAs that were overexpressed compared to normal mammary epithelium. Among these potentially oncogenic lncRNAs we prioritized a subset as Mammary Tumor Associated RNAs (MaTARs) and determined their human counterparts, hMaTARs. To functionally validate the role of MaTARs, we performed antisense knockdown and observed reduced cell proliferation, invasion, and/or organoid branching in a cancer-specific context. Assessing the expression of hMaTARs in human breast tumors revealed that 19 hMaTARs are significantly upregulated and many of these correlate with breast cancer subtype and/or hormone receptor status, indicating potential clinical relevance.

Indexed as

AnimalsBreast NeoplasmsCell Line, TumorCell MovementCell ProliferationCell SurvivalFemaleHumansMammary Neoplasms, AnimalMiceMice, TransgenicOligoribonucleotides, AntisenseRNA, Long NoncodingRNA, NeoplasmSpheroids, CellularTranscriptomeOligoribonucleotides, AntisenseRNA, Long NoncodingRNA, Neoplasm3D organoid cultureantisense oligonucleotidesbreast cancerlong non-coding RNAsmammary tumortranscriptome

Identifiers

PMID27681436
PMCPMC5079290
OpenAlexW2526917711

What OpenQuestion holds

Textmetadata
LicenceTDM
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.