ArticleInternational journal of molecular sciences2024
The Integrated Bioinformatic Approach Reveals the Prognostic Significance of LRP1 Expression in Ovarian Cancer.
Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Atranorin suppresses the LUCAT1/STAT3 axis to induce ferroptotic cell death in ovarian cancer.Molecular biology reports · 2026Article
- Emerging molecular targets in gynaecologic cancers: clinical implications for personalized therapy.Molecular biology reports · 2026Review
- Advances in the use of exosomes for the diagnosis and treatment of ovarian cancer.World journal of surgical oncology · 2025Review
- Long non-coding RNAs and VEGF in ovarian cancer: mechanisms and therapeutic potential.Journal of ovarian research · 2025Review
- RNA sequencing in ovarian cancer research: a comprehensive review.Journal of ovarian research · 2025Review
- Development and validation of an immune-related gene set (IRGS) model for prognostic and immunotherapeutic assessment in lung adenocarcinoma (LUAD).Journal of thoracic disease · 2025Article
- Decoding sexually dimorphic proteomic landscapes in the context of aging and mortality.Communications medicine · 2025Article
- Signaling networks and MiRNA crosstalk in ovarian cancer chemoresistance.Journal of ovarian research · 2025Review
- A Comprehensive Multiomics Signature of Doxorubicin-Induced Cellular Senescence in the Postmenopausal Human Ovary.Aging cell · 2025Article
- Current Bioinformatics Tools in Precision Oncology.MedComm · 2025Review
- Significance of Midkine Signaling in Women's Cancers: Novel Biomarker and Therapeutic Target.International journal of molecular sciences · 2025Review
- Harnessing Molecular Insights for Translational Impact: Highlights from the Special Issue Titled "New Insights in Translational Bioinformatics".International journal of molecular sciences · 2025Article
- Regional Variations in Mechanical Properties of Porcine Leptomeninges.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Research progress of artificial intelligence in the early screening, diagnosis, precise treatment and prognosis prediction of three central gynecological malignancies.Frontiers in oncology · 2025Review
- Identification of potential cell surface targets in patient-derived cultures toward photoimmunotherapy of high-grade serous ovarian cancer.Photochemistry and photobiologyArticle
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5 authors.
Funding
Abstract
A hyperactive tumour microenvironment (TME) drives unrestricted cancer cell survival, drug resistance, and metastasis in ovarian carcinoma (OC). However, therapeutic targets within the TME for OC remain elusive, and efficient methods to quantify TME activity are still limited. Herein, we employed an integrated bioinformatics approach to determine which immune-related genes (IRGs) modulate the TME and further assess their potential theragnostic (therapeutic + diagnostic) significance in OC progression. Using a robust approach, we developed a predictive risk model to retrospectively examine the clinicopathological parameters of OC patients from The Cancer Genome Atlas (TCGA) database. The validity of the prognostic model was confirmed with data from the International Cancer Genome Consortium (ICGC) cohort. Our approach identified nine IRGs,
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