Evidence map›Paper›PMID 25887545›Full record

ArticleBreast cancer research : BCR2015

Long non-coding RNA expression profiles predict metastasis in lymph node-negative breast cancer independently of traditional prognostic markers.

Kristina P Sørensen, Mads Thomassen, Qihua Tan, Martin Bak, Søren Cold, Mark Burton, Martin J Larsen, Torben A Kruse

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Exosomal lncRNAsInternational journal of molecular sciences · 2026
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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.

Kristina P SørensenDepartment of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark. kristina.sorensen1@rsyd.dk.
Mads ThomassenDepartment of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark. mads.thomasssen@rsyd.dk.
Qihua TanHuman Genetics, Clinical Institute, University of Southern Denmark, Sdr. Boulevard 29, 5000, Odense C, Denmark. qtan@health.sdu.dk.
Martin BakDepartment of Pathology, Odense University Hospital, J.B. Winsløvs Vej 15, 5000, Odense C, Denmark. martin.bak@rsyd.dk.
Søren ColdDepartment of Oncology, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark. soeren.cold@rsyd.dk.
Mark BurtonDepartment of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark. mark.burton@rsyd.dk.
Martin J LarsenDepartment of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark. martin.larsen@rsyd.dk.
Torben A KruseDepartment of Clinical Genetics, Odense University Hospital, Sdr. Boulevard 29, 5000, Odense C, Denmark. torben.kruse@rsyd.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients with clinically and pathologically similar breast tumors often have very different outcomes and treatment responses. Current prognostic markers allocate the majority of breast cancer patients to the high-risk group, yielding high sensitivities in expense of specificities below 20%, leading to considerable overtreatment, especially in lymph node-negative patients. Seventy percent would be cured by surgery and radiotherapy alone in this group. Thus, precise and early indicators of metastasis are highly desirable to reduce overtreatment. Previous prognostic RNA-profiling studies have only focused on the protein-coding part of the genome, however the human genome contains thousands of long non-coding RNAs (lncRNAs) and this unexplored field possesses large potential for identification of novel prognostic markers.

methodsWe evaluated lncRNA microarray data from 164 primary breast tumors from adjuvant naïve patients with a mean follow-up of 18 years. Eighty two patients who developed detectable distant metastasis were compared to 82 patients where no metastases were diagnosed. For validation, we determined the prognostic value of the lncRNA profiles by comparing the ability of the profiles to predict metastasis in two additional, previously-published, cohorts.

resultsWe showed that lncRNA profiles could distinguish metastatic patients from non-metastatic patients with sensitivities above 90% and specificities of 64-65%. Furthermore; classifications were independent of traditional prognostic markers and time to metastasis.

conclusionsTo our knowledge, this is the first study investigating the prognostic potential of lncRNA profiles. Our study suggest that lncRNA profiles provide additional prognostic information and may contribute to the identification of early breast cancer patients eligible for adjuvant therapy, as well as early breast cancer patients that could avoid unnecessary systemic adjuvant therapy. This study emphasizes the potential role of lncRNAs in breast cancer prognosis.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeAdultAgedAged, 80 and overBiomarkersBiopsyBreast NeoplasmsFemaleGene Expression ProfilingGenome-Wide Association StudyHumansLymphatic MetastasisMiddle AgedNeoplasm GradingNeoplasm StagingBiomarkersRNA, Long Noncoding

Identifiers

PMID25887545
PMCPMC4416310

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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.