ArticleJournal of clinical laboratory analysis2013
The tetrad BMI, leptin, leptin/adiponectin (L/A) ratio and CA 15-3 are reliable biomarkers of breast cancer.
Article in Journal of clinical laboratory analysis, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 4 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.
- Association of serum adiponectin with breast cancer: A meta-analysis of 27 case-control studies.Medicine · 2019Pooled it
- Pooled it
- Serum adiponectin in breast cancer: A meta-analysis.Medicine · 2018Pooled it
- Association between serum leptin levels and breast cancer risk: An updated systematic review and meta-analysis.Medicine · 2018Pooled it
- Increases in BMI contribute to worsening inflammatory biomarkers related to breast cancer risk in women: a longitudinal study.Breast cancer research and treatment · 2023Article
- [Association of Body Mass Index and Weight Gain With Obesity-Related Breast Cancer Risk Biomarkers in Adult Chinese Women].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Article
- Improving breast cancer prediction using a pattern recognition network with optimal feature subsets.Croatian medical journal · 2021Article
- A Computational Statistics Approach to Evaluate Blood Biomarkers for Breast Cancer Risk Stratification.Hormones & cancer · 2020Article
- Effectiveness of a Global Multidisciplinary Supportive and Educational Intervention in Thermal Resort on Anthropometric and Biological Parameters, and the Disease-Free Survival after Breast Cancer Treatment Completion (PACThe).Journal of oncology · 2020Article
- The Effect of the Leptin and Leptin Receptor Expression on the Efficacy of Neoadjuvant Chemotherapy in Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Article
- Leptin and Adiponectin Modulate the Self-renewal of Normal Human Breast Epithelial Stem Cells.Cancer prevention research (Philadelphia, Pa.) · 2015Article
- Relationship between body mass index and incidence of breast cancer.International journal of clinical and experimental medicine · 2015Article
- A dwarf mouse model with decreased GH/IGF-1 activity that does not experience life-span extension: potential impact of increased adiposity, leptin, and insulin with advancing age.The journals of gerontology. Series A, Biological sciences and medical sciences · 2014Article
- Peripheral Pathways in the Food-Intake Control towards the Adipose-Intestinal Missing Link.International journal of endocrinology · 2013Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSeveral studies have reported that leptin levels, the leptin/adiponectin (L/A) ratio and carbohydrate antigen (CA) 15-3 are especially elevated in breast cancer patients with high body mass index (BMI). The purpose of this study was to evaluate BMI, leptin, L/A ratio and CA 15-3 all together as reliable biomarkers for breast cancer.
methodsSerum levels of leptin, adiponectin and CA 15-3, as well as anthropometric and biochemical parameters were analysed in 88 female patients who participated in a mammography study. Predictive values of BMI, leptin, L/A ratio and CA 15-3 were determined with a 95% confidence interval.
resultsWomen were diagnosed with either breast cancer (n = 40) or benign breast lesions (n = 48). Among anthropometric parameters, age (P ≤ 0.001), weight (P ≤ 0.05) and waist circumference (P ≤ 0.02) were higher in patients with breast cancer than in patients without this pathology. The 75th percentile values for BMI, leptin, L/A ratio and CA 15-3 were 29.24 kg/m(2), 26.65 ng/ml, 2.37 and 18.45 IU, respectively. The suggested odds ratio for breast cancer patients with the values that were above the 75th percentile of the tetrad was 6.7 (0.7505-60.0665 confidence interval).
conclusionWhen the four variables were analysed together, a sensitivity of 83.3%, specificity of 80%, positive predictive value of 83.3% and negative predictive value of 80% were obtained. Results indicate that using the 75th percentile set points for BMI, leptin, L/A ratio and CA 15-3 together could offer a reliable approach to determine which women are at high risk for developing breast cancer.
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Registered trials
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.