ArticleCancer medicine2019
Association of ABC gene profiles with time to progression and resistance in ovarian cancer revealed by bioinformatics analyses.
Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 49 citations in OpenAlex.
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- Mendelian Randomization Analysis of Mitochondria-Related Genes and Screening of Prognostic Genes in Colorectal Cancer.Cancer medicine · 2025Article
- BC-predict: mining of signal biomarkers and production of models for early-stage breast cancer subtyping and prognosis.Frontiers in bioinformatics · 2025Article
- Translation stalling induced mitochondrial entrapment of ribosomal quality control related proteins offers cancer cell vulnerability.Research square · 2024Article
- Review
- Role of SLC7A11/xCT in Ovarian Cancer.International journal of molecular sciences · 2024Review
- Screening and identification of serum exosomal protein ZNF587B in liquid biopsy for ovarian cancer diagnosis.American journal of cancer research · 2024Article
- Ferroptosis, Metabolic Rewiring, and Endometrial Cancer.International journal of molecular sciences · 2023Review
- Ferroptosis in epithelial ovarian cancer: a burgeoning target with extraordinary therapeutic potential.Cell death discovery · 2023Review
- The role and impact of alternative polyadenylation and miRNA regulation on the expression of the multidrug resistance-associated protein 1 (MRP-1/ABCC1) in epithelial ovarian cancer.Scientific reports · 2023Article
- Article
- The role of DNA methylation in ovarian cancer chemoresistance: A narrative review.Health science reports · 2023Article
- The recent advancements of ferroptosis in the diagnosis, treatment and prognosis of ovarian cancer.Frontiers in genetics · 2023Review
- Construction and validation of a metabolic-related genes prognostic model for oral squamous cell carcinoma based on bioinformatics.BMC medical genomics · 2022Article
- P-glycoprotein and cancer: what do we currently know?Heliyon · 2022Review
- GCN2: roles in tumour development and progression.Biochemical Society transactions · 2022Review
- DNA Copy Number Aberrations and Expression of ABC Transporter Genes in Breast Tumour: Correlation with the Effect of Neoadjuvant Chemotherapy and Prognosis of the Disease.Pharmaceutics · 2022Article
- New Insights on Ferroptosis and Gynecological Malignancies.Frontiers in molecular biosciences · 2022Review
- The Role of TRIP6, ABCC3 and CPS1 Expression in Resistance of Ovarian Cancer to Taxanes.International journal of molecular sciences · 2021Article
- Translation ofBiomedicines · 2021Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionOvarian cancer (OC) represents a serious disease with high mortality and lack of efficient predictive and prognostic biomarkers. ATP-binding cassette (ABC) proteins constitute a large family dedicated to active transmembrane transport including transport of xenobiotics. MATERIALS AND
methodsmRNA level was measured by quantitative RT-PCR in tumor tissues from OC patients. Bioinformatics analyses were applied to two gene expression datasets (60 primary tumors and 29 peritoneal metastases). Two different approaches of expression data normalization were applied in parallel, and their results were compared. Data from publically available cancer datasets were checked to further validate our conclusions.
resultsThe results showed significant connections between ABC gene expression profiles and time to progression (TTP), chemotherapy resistance, and metastatic progression in OC. Two consensus ABC gene profiles with clinical meaning were documented. (a) Downregulation of ABCC4, ABCC10, ABCD3, ABCE1, ABCF1, ABCF2, and ABCF3 was connected with the best sensitivity to chemotherapy and TTP. (b) Oppositely, downregulation of ABCB11 and upregulation of ABCB1 and ABCG2 were connected with the worst sensitivity to chemotherapy and TTP. Results from publicly available online databases supported our conclusions.
conclusionThis study stressed the connection between two well-documented ABC genes and clinicopathological features-ABCB1 and ABCG2. Moreover, we showed a comparable connection also for several other ABC genes-ABCB11, ABCC4, ABCC10, ABCD3, ABCE1, ABCF1, ABCF2, and ABCF3. Our results add new clinically relevant information to this oncology field and can stimulate further exploration.
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