Evidence map›Paper›PMID 26251034›Full record

ArticleBreast cancer research : BCR2015

The molecular landscape of premenopausal breast cancer.

Serena Liao, Ryan J Hartmaier, Kandace P McGuire, Shannon L Puhalla, Soumya Luthra, Uma R Chandran, Tianzhou Ma, Rohit Bhargava, Francesmary Modugno, Nancy E Davidson and 4 more

Open access · goldAbstract 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 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

46 citing papers in PubMed, 1 synthesis or guideline pooled it, 98 citations in OpenAlex.

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  10. Integrative Computational Framework,bioRxiv : the preprint server for biology · 2024
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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

14 authors at 5 institutions in 1 country.

Serena LiaoDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA. liaoge.serena@gmail.com.
Ryan J HartmaierDepartment of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA. hartmaierr@upmc.edu.
Kandace P McGuireWomens Cancer Research Center, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA. mcguirek2@mail.magee.edu.
Shannon L PuhallaWomens Cancer Research Center, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA. puhallasl@mail.magee.edu.
Soumya LuthraWomens Cancer Research Center, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA. sol23@pitt.edu.
Uma R ChandranWomens Cancer Research Center, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA. chandranur@upmc.edu.
Tianzhou MaDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA. tianzhou.ma0105@gmail.com.
Rohit BhargavaDepartment of Pathology Magee-Womens Hospital, Pittsburgh, PA, USA. rbhargava@mail.magee.edu.
Francesmary ModugnoWomens Cancer Research Center, Magee-Womens Research Institute and University of Pittsburgh Cancer Institute, 204 Craft Avenue, Pittsburgh, PA, 15213, USA. fm@cs.cmu.edu.
Nancy E DavidsonDepartment of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA. davidsonne@upmc.edu.
Steve BenzFive3 Genomics, LLC, Santa Cruz, CA, USA. steve@five3genomics.com.
Adrian V LeeDepartment of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA. leeav@upmc.edu.
George C TsengDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA. ctseng@pitt.edu.
Steffi OesterreichDepartment of Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, PA, USA. oesterreichs@upmc.edu.
Magee-Womens Research Institute · USUniversity of Pittsburgh · USDovetail Genomics (United States) · USMagee-Womens Hospital · USUPMC Hillman Cancer Center · US

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
NCI NIH HHS P30 CA047904NCI NIH HHS P30CA047904
6 · The paper itself

Abstract

introductionBreast cancer in premenopausal women (preM) is frequently associated with worse prognosis compared to that in postmenopausal women (postM), and there is evidence that preM estrogen receptor-positive (ER+) tumors may respond poorly to endocrine therapy. There is, however, a paucity of studies characterizing molecular alterations in premenopausal tumors, a potential avenue for personalizing therapy for this group of women.

methodsUsing TCGA and METABRIC databases, we analyzed gene expression, copy number, methylation, somatic mutation, and reverse-phase protein array data in breast cancers from >2,500 preM and postM women.

resultsPreM tumors showed unique gene expression compared to postM tumors, however, this difference was limited to ER+ tumors. ER+ preM tumors showed unique DNA methylation, copy number and somatic mutations. Integrative pathway analysis revealed that preM tumors had elevated integrin/laminin and EGFR signaling, with enrichment for upstream TGFβ-regulation. Finally, preM tumors showed three different gene expression clusters with significantly different outcomes.

conclusionTogether these data suggest that ER+ preM tumors have distinct molecular characteristics compared to ER+ postM tumors, particularly with respect to integrin/laminin and EGFR signaling, which may represent therapeutic targets in this subgroup of breast cancers.

Indexed as

Biomarkers, TumorGene Expression ProfilingPremenopauseBreast NeoplasmsCluster AnalysisComputational BiologyDatabases, GeneticDNA Copy Number VariationsDNA MethylationFemaleGene Expression RegulationHumansMutationOutcome Assessment, Health CarePostmenopausePrognosisBiomarkers, Tumor

Identifiers

PMID26251034
PMCPMC4531812
OpenAlexW1902218750

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.