Evidence map›Paper›PMID 22563412›Full record

ArticlePloS one2012

Molecular subtype classification is a determinant of non-sentinel lymph node metastasis in breast cancer patients with positive sentinel lymph nodes.

Wenbin Zhou, Zhongyuan He, Jialei Xue, Minghai Wang, Xiaoming Zha, Lijun Ling, Lin Chen, Shui Wang, Xiaoan Liu

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Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wenbin ZhouDepartment of Breast Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Zhongyuan He
Jialei Xue
Minghai Wang
Xiaoming Zha
Lijun Ling
Lin Chen
Shui Wang
Xiaoan Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies suggested that the molecular subtypes were strongly associated with sentinel lymph node (SLN) status. The purpose of this study was to determine whether molecular subtype classification was associated with non-sentinel lymph nodes (NSLN) metastasis in patients with a positive SLN. METHODOLOGY AND PRINCIPAL

findingsBetween January 2001 and March 2011, a total of 130 patients with a positive SLN were recruited. All these patients underwent a complete axillary lymph node dissection. The univariate and multivariate analyses of NSLN metastasis were performed. In univariate and multivariate analyses, large tumor size, macrometastasis and high tumor grade were all significant risk factors of NSLN metastasis in patients with a positive SLN. In univariate analysis, luminal B subgroup showed higher rate of NSLN metastasis than other subgroup (P = 0.027). When other variables were adjusted in multivariate analysis, the molecular subtype classification was a determinant of NSLN metastasis. Relative to triple negative subgroup, both luminal A (P = 0.047) and luminal B (P = 0.010) subgroups showed a higher risk of NSLN metastasis. Otherwise, HER2 over-expression subgroup did not have a higher risk than triple negative subgroup (P = 0.183). The area under the curve (AUC) value was 0.8095 for the Cambridge model. When molecular subtype classification was added to the Cambridge model, the AUC value was 0.8475.

conclusionsExcept for other factors, molecular subtype classification was a determinant of NSLN metastasis in patients with a positive SLN. The predictive accuracy of mathematical models including molecular subtype should be determined in the future.

Indexed as

AdultAgedArea Under CurveBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansLymphatic MetastasisLymph NodesMiddle AgedNeoplasm StagingPhenobarbitalRetrospective StudiesRisk FactorsROC CurveSentinel Lymph Node BiopsyErb-b2 Receptor Tyrosine KinasesPhenobarbital

Identifiers

PMID22563412
PMCPMC3338552

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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.