Evidence map›Paper›PMID 33500440›Full record

ArticleScientific reports2021

Clinical implications of intrinsic molecular subtypes of breast cancer for sentinel node status.

Maria Rossing, Christina Bligaard Pedersen, Tove Tvedskov, Ilse Vejborg, Maj-Lis Talman, Lars Rønn Olsen, Niels Kroman, Finn Cilius Nielsen, Maj-Britt Jensen, Bent Ejlertsen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Maria RossingCenter for Genomic Medicine 4113, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark. caroline.maria.rossing@regionh.dk.
Christina Bligaard PedersenCenter for Genomic Medicine 4113, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Tove TvedskovDepartment of Breast Surgery, Rigshospitalet/Herlev-Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
Ilse VejborgDepartment of Radiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Maj-Lis TalmanDepartment of Pathology, Rigshospitalet, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
Lars Rønn OlsenCenter for Genomic Medicine 4113, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Niels KromanDepartment of Breast Surgery, Rigshospitalet/Herlev-Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark.
Finn Cilius NielsenCenter for Genomic Medicine 4113, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen, Denmark.
Maj-Britt JensenDanish Breast Cancer Cooperative Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Bent EjlertsenDanish Breast Cancer Cooperative Group, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Rigshospitalet · DKCopenhagen University Hospital · DKTechnical University of Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axillary lymph node status is an important prognostic factor for breast cancer patients and sentinel lymph node biopsy (SLNB) is a less invasive surgical proxy. We examined if consecutively derived molecular subtypes from primary breast cancers provide additional predictive value for SLNB status. 1556 patients with a breast cancer > 10 mm underwent primary surgical procedure including SLNB and tumor specimens were assigned with a transcriptomics-based molecular subtype. 1020 patients had a negative sentinel node (SN) and 536 a positive. A significant association between tumor size and SN status (p < 0.0001) was found across all samples, but no association between size and SN status (p = 0.14) was found for BasL tumors. A BasL subtype was a predictor of an SN-negative status (p = 0.001, OR 0.58, 95% CI 0.38;0.90) and among the BasL, postmenopausal status was a predictor for SN-negative status (p = 0.01). Overall survival was significantly lower (p = 0.02) in patients with BasL tumors and a positive SN. Interestingly, we identified a significant correlation between hormone receptor activity and SN status within the BasL subtype. Taken together, molecular subtypes and hormone receptor activity of breast cancers add predictive value for SLNB status.

Indexed as

BRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCohort StudiesFemaleHumansLogistic ModelsMenopausePrincipal Component AnalysisReceptors, EstrogenSentinel Lymph NodeSurvival AnalysisTumor BurdenBRCA1 ProteinBRCA2 ProteinReceptors, Estrogen

Identifiers

PMID33500440
PMCPMC7838175
OpenAlexW3125245351

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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.