ArticleOncology reports2016
Low expression of leptin and its association with breast cancer: A transcriptomic study.
Article in Oncology reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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.
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Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Pooled it
- An integrated meta-analysis approach to identifying medications with potential to alter breast cancer risk through connectivity mapping.BMC bioinformatics · 2017Pooled it
- Unlocking new therapeutic horizons through integrative bioinformatics and transcriptomics for drug repositioning in breast cancer therapy.Journal of the Egyptian National Cancer Institute · 2026Article
- Integrated multi-omics identifies MCRS1 as a causal hub linking aging, metabolic syndrome, and breast cancer progression.International journal of surgery (London, England) · 2026Article
- Unveiling immune-related gene signatures in triple negative breast cancer through integrated transcriptomic analysis.BioMedicine · 2026Article
- Article
- LEP and FOXO1 genes, as a proposed tumor suppressor autophagic cell death related genes, can be targeted by antidiabetic therapy in nondiabetic breast cancer patients.Discover oncology · 2025Article
- Machine Learning-Driven Integration of Cancer Cell Phenotypes Predicts Cisplatin Sensitivity.Cancer medicine · 2025Article
- Review
- Uncovering the anti-breast cancer activity potential of east Kalimantan propolis by In vitro and bioinformatics analysis.Heliyon · 2024Article
- Article
- Structure-Based Profiling of Potential Phytomolecules with AKT1 a Key Cancer Drug Target.Molecules (Basel, Switzerland) · 2023Article
- Identification and validation of plasma biomarkers for diagnosis of breast cancer in South Asian women.Scientific reports · 2022Article
- Bioinformatics and network-based screening and discovery of potential molecular targets and small molecular drugs for breast cancer.Frontiers in pharmacology · 2022Article
- Significance of Targeting VEGFR-2 and Cyclin D1 in Luminal-A Breast Cancer.Molecules (Basel, Switzerland) · 2020Article
- Study of Gene Expression Profiles of Breast Cancers in Indian Women.Scientific reports · 2019Article
- Linking obesity-induced leptin-signaling pathways to common endocrine-related cancers in women.Endocrine · 2019Review
- Role of Overexpressed Transcription Factor FOXO1 in Fatal Cardiovascular Septal Defects in Patau Syndrome: Molecular and Therapeutic Strategies.International journal of molecular sciences · 2018Article
- RNA-Sequence Analysis Reveals Differentially Expressed Genes (DEGs) in Patients Exhibiting Different Risks of Tumor Metastasis.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The incidence of breast cancer is alarmingly increasing worldwide and also among Saudi women. Obesity is linked with an increased cancer risk and studies have also revealed that leptin may be involved in breast tumorigenesis particularly among obese women. Numerous transcriptomic studies have been carried out worldwide; however, molecular studies among breast cancer patients of diverse ethnic groups from the Arabian Peninsula are scarce. In the present study, whole transcriptome analysis of 45 surgically resected breast tumors from Saudi Arabian female patients was carried out. Expression data were analyzed, and molecular networks and canonical pathways were identified. We identified 1,159 differentially expressed genes using p-value with a false discovery rate <0.05 and a fold-change >2 as a cut-off. Using ingenuity pathway analysis tool, we identified many canonical pathways that were implicated in breast cancer for the first time. Notably, along with other lipid metabolism molecules, leptin (LEP)was one of the most downregulated genes (fold cut-off, -7.03) with significant differences between the breast cancer and the control groups (p<0.0001) and was further confirmed in all the samples using qPCR. Transcriptomic profiling of breast cancer from a Saudi female population revealed downregulation of LEP. Molecular pathway analysis demonstrated the role of LEP and other associated molecules of the lipid metabolism pathway. Involvement of leptin and lipid metabolism in breast cancer was highlighted. The majority of cases presented were of late stage, stressing the need to educate individuals concerning early diagnostic testing and the life-style risk factors for breast cancer such as unhealthy diet and obesity.
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Registered trials
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