Evidence map›Paper›PMID 35340887›Full record

ArticleBreast cancer : basic and clinical research2022

Metabolic Syndrome and Breast Cancer Molecular Subtypes: An Observational Patient Study.

Dafina Ademi-Islami, Suzana Manxhuka-Kerliu, Dhurata Tarifa-Koroveshi, Rozafa Koliqi, Blerim Mujaj

Abstract read
In one paragraph

Article in Breast cancer : basic and clinical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Dafina Ademi-IslamiOncology Clinic, University Clinical Center of Kosovo, Prishtina, Kosovo.ORCID https://orcid.org/0000-0002-2322-9102
Suzana Manxhuka-KerliuFaculty of Medicine, University of Prishtina, Prishtina, Kosovo.
Dhurata Tarifa-KoroveshiDepartment of Oncology, University Hospital of Tirana, Tirana, Albania.
Rozafa KoliqiDepartment of Clinical Pharmacy and Biopharmacy, Pharmacy Division, Faculty of Medicine, Universiteti i Prishtines, Pristina, Kosovo.
Blerim MujajDepartment of Diagnostic and Interventional Radiology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer molecular subtypes share various prognostic profiles, and luminal A molecular subtypes have a better prognosis compared with other molecular subtypes. However, whether metabolic syndrome or individual risk factors of metabolic syndrome influence on the development of molecular subtype remains elusive. We aimed to assess the association between metabolic syndrome risk factors and breast cancer molecular subtypes among patients with metabolic syndrome in a clinical setting. Methods: In total, 101 breast cancer patients with mean age, 58.4 ± 8.5 years, and overt metabolic syndrome prospectively were recruited. Immunohistochemistry procedure was used to determine molecular subtypes. Assessment of clinical, biochemical, and anthropometric parameters was performed. Logistic regression analysis was used to assess the relationship between risk factors and breast cancer molecular subtypes categories. A similar approach was used to assess the relation between breast cancer molecular subtypes and menopause. Results: Comparison of metabolic syndrome individual risk factors according to breast cancer molecular subtypes no statistical difference was found for systolic ( Conclusion: In breast cancer patients with metabolic syndrome, we observed an increased trend between high-density lipoprotein and HER2+ molecular subtype, suggesting that underlying dyslipidemia may favor poor prognosis. HER2+ was associated with menopause which may influence further expression of HER2+ .

Indexed as

Breast cancerHER2+Luminal ALuminal Bmenopausemetabolic syndromeTN

Identifiers

PMID35340887
PMCPMC8950023

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