Evidence map›Paper›PMID 23056218›Full record

ArticlePloS one2012

Neutrophil gelatinase-associated lipocalin (NGAL) predicts response to neoadjuvant chemotherapy and clinical outcome in primary human breast cancer.

Antonia Sophie Wenners, Keyur Mehta, Sibylle Loibl, Hyerim Park, Berit Mueller, Norbert Arnold, Sigrid Hamann, Joerg Weimer, Beyhan Ataseven, Silvia Darb-Esfahani and 9 more

Open access · goldAbstract read
In one paragraph

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 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. Exploring the multifaceted role of obesity in breast cancer progression.Frontiers in cell and developmental biology · 2024
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Observational
  11. Review
  12. Review
  13. Article
  14. Iron as a Central Player and Promising Target in Cancer Progression.International journal of molecular sciences · 2019
    Review
  15. Analysis of blood markers for early breast cancer diagnosis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2018
    Observational
  16. Review
  17. Review
  18. Article
  19. Neutrophil gelatinase-associated lipocalin (NGAL) and matrix metalloproteinase-9 (MMP-9) prognostic value in lung adenocarcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  20. Article
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

19 authors at 7 institutions in 1 country.

Antonia Sophie WennersDepartment of Gynecology and Obstetrics, University Medical Center Schleswig-Holstein, Kiel, Germany. antonia.wenners@uk-sh.de
Keyur Mehta
Sibylle Loibl
Hyerim Park
Berit Mueller
Norbert Arnold
Sigrid Hamann
Joerg Weimer
Beyhan Ataseven
Silvia Darb-Esfahani
Christian Schem
Christoph Mundhenke
Fariba Khandan
Christoph Thomssen
Walter Jonat
Hans-Juergen Holzhausen
Gunther von Minckwitz
Carsten Denkert
Maret Bauer
University Hospital Schleswig-Holstein · DECharité - Universitätsmedizin Berlin · DEGerman Breast group · DEMartin Luther University Halle-Wittenberg · DEUniversity of Lübeck · DEAgaplesion Markus Hospital · DERotkreuzklinikum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our previous work we showed that NGAL, a protein involved in the regulation of proliferation and differentiation, is overexpressed in human breast cancer (BC) and predicts poor prognosis. In neoadjuvant chemotherapy (NACT) pathological complete response (pCR) is a predictor for outcome. The aim of this study was to evaluate NGAL as a predictor of response to NACT and to validate NGAL as a prognostic factor for clinical outcome in patients with primary BC. Immunohistochemistry was performed on tissue microarrays from 652 core biopsies from BC patients, who underwent NACT in the GeparTrio trial. NGAL expression and intensity was evaluated separately. NGAL was detected in 42.2% of the breast carcinomas in the cytoplasm. NGAL expression correlated with negative hormone receptor (HR) status, but not with other baseline parameters. NGAL expression did not correlate with pCR in the full population, however, NGAL expression and staining intensity were significantly associated with higher pCR rates in patients with positive HR status. In addition, strong NGAL expression correlated with higher pCR rates in node negative patients, patients with histological grade 1 or 2 tumors and a tumor size <40 mm. In univariate survival analysis, positive NGAL expression and strong staining intensity correlated with decreased disease-free survival (DFS) in the entire cohort and different subgroups, including HR positive patients. Similar correlations were found for intense staining and decreased overall survival (OS). In multivariate analysis, NGAL expression remained an independent prognostic factor for DFS. The results show that in low-risk subgroups, NGAL was found to be a predictive marker for pCR after NACT. Furthermore, NGAL could be validated as an independent prognostic factor for decreased DFS in primary human BC.

Indexed as

Acute-Phase ProteinsAdultBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryKaplan-Meier EstimateLipocalin-2LipocalinsMiddle AgedMultivariate AnalysisNeoadjuvant TherapyPredictive Value of TestsPrognosisProportional Hazards ModelsAcute-Phase ProteinsErb-b2 Receptor Tyrosine KinasesLCN2 protein, humanLipocalin-2LipocalinsProto-Oncogene ProteinsReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID23056218
PMCPMC3467272
OpenAlexW2145515954

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.