ArticleFrontiers in oncology2022
Integrated Multi-Omics Analysis Model to Identify Biomarkers Associated With Prognosis of Breast Cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- TRIM Protein Superfamily in Breast Cancer: Yin and Yang.Biochemical genetics · 2026Review
- Adaptive multi-omics integration framework for breast cancer survival analysis.Scientific reports · 2025Article
- Circulating microRNAs and serum proteins in breast cancer patients: Diagnostic relevance and grade-specific expression patterns.World journal of experimental medicine · 2025Article
- Evaluation of PE5 Entries on the Human Proteome Project Target List.Journal of proteome research · 2025Article
- The role of TMEM163 protein in thyroid microcarcinoma: expression pattern and clinical implications.Journal of endocrinological investigation · 2025Article
- Exploring TSGA10 Function: A Crosstalk or Controlling Mechanism in the Signaling Pathway of Carcinogenesis?Cancers · 2024Review
- Nucleosome reorganisation in breast cancer tissues.Clinical epigenetics · 2024Article
- Noxa inhibits oncogenesis through ZNF519 in gastric cancer and is suppressed by hsa-miR-200b-3p.Scientific reports · 2024Article
- One-pot method for preparing DNA, RNA, and protein for multiomics analysis.Communications biology · 2024Article
- Biomarkers for Early Cancer Detection: A Landscape View of Recent Advancements, Spotlighting Pancreatic and Liver Cancers.ACS pharmacology & translational science · 2024Review
- Advancing precision and personalized breast cancer treatment through multi-omics technologies.American journal of cancer research · 2024Review
- Multi-omics reveal neuroprotection of Acer truncatum Bunge Seed extract on hypoxic-ischemia encephalopathy rats under high-altitude.Communications biology · 2023Article
- The role of tumor microenvironment in drug resistance: emerging technologies to unravel breast cancer heterogeneity.Frontiers in oncology · 2023Review
- Construction of a prognostic 6-gene signature for breast cancer based on multi-omics and single-cell data.Frontiers in oncology · 2023Article
- Review
- Hub Genes in Non-Small Cell Lung Cancer Regulatory Networks.Biomolecules · 2022Article
- Silencing eL31 suppresses the progression of colorectal cancer via targeting DEPDC1.Journal of translational medicine · 2022Article
- A survey on multi-omics-based cancer diagnosis using machine learning with the potential application in gastrointestinal cancer.Frontiers in medicine · 2022Review
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: With the rapid development and wide application of high-throughput sequencing technology, biomedical research has entered the era of large-scale omics data. We aim to identify genes associated with breast cancer prognosis by integrating multi-omics data. Method: Gene-gene interactions were taken into account, and we applied two differential network methods JDINAC and LGCDG to identify differential genes. The patients were divided into case and control groups according to their survival time. The TCGA and METABRIC database were used as the training and validation set respectively. Result: In the TCGA dataset, C11orf1, OLA1, RPL31, SPDL1 and IL33 were identified to be associated with prognosis of breast cancer. In the METABRIC database, ZNF273, ZBTB37, TRIM52, TSGA10, ZNF727, TRAF2, TSPAN17, USP28 and ZNF519 were identified as hub genes. In addition, RPL31, TMEM163 and ZNF273 were screened out in both datasets. GO enrichment analysis shows that most of these hub genes were involved in zinc ion binding. Conclusion: In this study, a total of 15 hub genes associated with long-term survival of breast cancer were identified, which can promote understanding of the molecular mechanism of breast cancer and provide new insight into clinical research and treatment.
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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.