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23 pages, 1882 KB  
Review
Epigenetic Drivers of Chemoresistance in Nucleobase and Nucleoside Analog Therapies
by John Kaszycki and Minji Kim
Biology 2025, 14(7), 838; https://doi.org/10.3390/biology14070838 - 9 Jul 2025
Viewed by 1399
Abstract
Nucleobase and nucleoside analogs are critical components of antimetabolite chemotherapy treatments used to disrupt DNA replication and induce apoptosis in rapidly proliferating cancer cells. However, the development of resistance to these agents remains a major clinical challenge. This review explores the epigenetic mechanisms [...] Read more.
Nucleobase and nucleoside analogs are critical components of antimetabolite chemotherapy treatments used to disrupt DNA replication and induce apoptosis in rapidly proliferating cancer cells. However, the development of resistance to these agents remains a major clinical challenge. This review explores the epigenetic mechanisms that contribute to acquired chemoresistance, focusing on DNA methylation, histone modifications, and non-coding RNAs (ncRNAs). These epigenetic alterations regulate key processes such as DNA repair, drug metabolism, cell transport, and autophagy, enabling cancer cells to survive and resist therapeutic pressure. We highlight how dysregulation of DNA methyltransferases (DNMTs) and histone acetyltransferases (HATs) modulates expression of transporters (e.g., hENT1, ABCB1), DNA repair enzymes (e.g., Polβ, BRCA1/2), and autophagy-related genes (e.g., CSNK2A1, BNIP3). Furthermore, emerging roles for long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) in regulating nucleoside export and DNA damage response pathways underscore their relevance as therapeutic targets. The interplay of these epigenetic modifications drives resistance to agents such as gemcitabine and 5-fluorouracil across multiple tumor types. We also discuss recent progress in therapeutic interventions, including DNMT and HDAC inhibitors, RNA-based therapeutics, and CRISPR-based epigenome editing. Full article
(This article belongs to the Section Immunology)
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13 pages, 2269 KB  
Article
The Diagnostic Value of circFBXW7, circABCB10, and circ0103552 Levels in Breast Cancer
by Burak İlhan, Şenol Ender, Berkay Kılıç, Muhammed Üçüncü, Murat Serilmez, Ceren Tilgen Yasasever, Hilal Oğuz Soydinç, Sibel Kuras, Bekir Erdoğan, Hani Alsaadoni, Hasan Karanlık and Süleyman Bademler
Curr. Issues Mol. Biol. 2024, 46(12), 14381-14393; https://doi.org/10.3390/cimb46120862 - 20 Dec 2024
Cited by 1 | Viewed by 1247
Abstract
Despite advances in cancer treatment, breast cancer (BC) remains one of the most common cancers affecting women worldwide. This study aimed to determine serum circFBXW7, circABCB10, and circ0103552 levels and compare BC patients and healthy controls to investigate their roles in the molecular [...] Read more.
Despite advances in cancer treatment, breast cancer (BC) remains one of the most common cancers affecting women worldwide. This study aimed to determine serum circFBXW7, circABCB10, and circ0103552 levels and compare BC patients and healthy controls to investigate their roles in the molecular mechanism of BC and the significance of these circRNAs in BC diagnosis. The study group consisted of 92 patients with BC and 31 healthy controls. Total RNA was isolated from serum samples. Following total RNA, complementary DNA was synthesized from this material. Following complementary DNA analysis, the circRNA levels were analyzed by the qRT-PCR method. Expression levels were evaluated in ΔCt values. High ΔCt values of circFBXW7 and circ0103552 and low ΔCt values of circABCB10 were correlated with BC diagnosis (circFBXW7, p = 0.043, r = 0.183, circ0103552, p < 0.001, r = 0.321, circABCB10, p = 0.001, r = −0.291). According to Fold Change (FC) values, circFBXW7 (FC = 0.30) and circ0103552 (FC = 0.26) showed low expression in the patient group compared to the control group, while circABCB10 (FC = 11.09) showed high expression (p < 0.05, for all comparisons). We think that our study is one of the rare studies investigating the relationship between BC and serum circRNA levels. This study concludes that the significant downregulation of circFBXW7 and circ0103552 and the upregulation of circABCB10 are directly related to the diagnosis of BC and can be used for diagnosis, but further studies are needed to elucidate the molecular mechanism of the relationship between circRNAs and BC. Full article
(This article belongs to the Section Molecular Medicine)
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18 pages, 2373 KB  
Article
New Circulating Circular RNAs with Diagnostic and Prognostic Potential in Advanced Colorectal Cancer
by Maria Radanova, Galya Mihaylova, Oskan Tasinov, Desislava P. Ivanova, George St. Stoyanov, Neshe Nazifova-Tasinova, Rostislav Manev, Ayshe Salim, Miglena Nikolova, Diana G. Ivanova, Nikolay Conev, Zhasmina Mihaylova and Ivan Donev
Int. J. Mol. Sci. 2021, 22(24), 13283; https://doi.org/10.3390/ijms222413283 - 10 Dec 2021
Cited by 17 | Viewed by 3458
Abstract
Circular RNAs (circRNAs) are a group of special endogenous long non-coding RNAs which are highly stable in the circulation, and, thus, more suitable as new biomarkers of colorectal cancer (CRC). The aim of our study was to explore the plasma expression levels of [...] Read more.
Circular RNAs (circRNAs) are a group of special endogenous long non-coding RNAs which are highly stable in the circulation, and, thus, more suitable as new biomarkers of colorectal cancer (CRC). The aim of our study was to explore the plasma expression levels of four circRNAs: has_circ_0001445, hsa_circ_0003028, hsa_circ_0007915 and hsa_circ_0008717 in patients with CRC and to evaluate their associations with clinicopathological characteristics and the clinical outcome of the patients. CircRNAs were extracted from patients’ plasma obtained prior to chemotherapy. Their expression levels were measured by qPCR and calculated applying the 2−ΔΔCt method. The levels of all four circRNAs were significantly increased in the plasma of CRC patients. At the optimal cut-off values hsa_circ_0001445 and hsa_circ_0007915 in plasma could significantly distinguish between patients with or without metastatic CRC with 92.56% sensitivity and 42.86% specificity, and with 86.07% sensitivity and 57.14% specificity, respectively. The mean overall survival (OS) of patients with high/intermediate expression of hsa_circ_0001445 was 30 months, significantly higher in comparison with the mean OS of the patients with low expression—20 months (log-rank test, p = 0.034). In multivariate Cox regression analysis, the low levels of hsa_circ_0001445 were also associated with shorter survival (HR = 1.59, 95% CI: 1.02–2.47, p = 0.040). A prognostic significance of hsa_circ_0001445 for patients with metastatic CRC was established. Full article
(This article belongs to the Special Issue Non-coding RNA (ncRNA) in Cancer)
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18 pages, 1146 KB  
Review
The Function of Non-Coding RNAs in Lung Cancer Tumorigenesis
by Cornelia Braicu, Alina-Andreea Zimta, Antonia Harangus, Ioana Iurca, Alexandru Irimie, Ovidiu Coza and Ioana Berindan-Neagoe
Cancers 2019, 11(5), 605; https://doi.org/10.3390/cancers11050605 - 30 Apr 2019
Cited by 123 | Viewed by 7927
Abstract
Lung cancer is the most prevalent and deadliest cancer worldwide. A significant part of lung cancer studies is dedicated to the expression alterations of non-coding RNAs. The non-coding RNAs are transcripts that cannot be translated into proteins. While the study of microRNAs and [...] Read more.
Lung cancer is the most prevalent and deadliest cancer worldwide. A significant part of lung cancer studies is dedicated to the expression alterations of non-coding RNAs. The non-coding RNAs are transcripts that cannot be translated into proteins. While the study of microRNAs and siRNAs in lung cancer received a lot of attention over the last decade, highly efficient therapeutic option or the diagnostic methods based on non-coding RNAs are still lacking. Because of this, it is of utmost importance to direct future research on lung cancer towards analyzing other RNA types for which the currently available data indicates that are essential at modulating lung tumorigenesis. Through our review of studies on this subject, we identify the following non-coding RNAs as tumor suppressors: ts-46, ts-47, ts-101, ts-53, ts-3676, ts-4521 (tRNA fragments), SNORD116-26, HBII-420, SNORD15A, SNORA42 (snoRNAs), piRNA-like-163, piR-35127, the piR-46545 (piRNAs), CHIAP2, LOC100420907, RPL13AP17 (pseudogenes), and uc.454 (T-UCR). We also found non-coding RNAs with tumor-promoting function: tRF-Leu-CAG, tRNA-Leu, tRNA-Val (tRNA fragments), circ-RAD23B, circRNA 100146, circPVT1, circFGFR3, circ_0004015, circPUM1, circFLI1, circABCB10, circHIPK3 (circRNAs), SNORA42, SNORA3, SNORD46, SNORA21, SNORD28, SNORA47, SNORD66, SNORA68, SNORA78 (snoRNAs), piR-65, piR-34871, piR-52200, piR651 (piRNAs), hY4 5’ fragments (YRNAs), FAM83A-AS1, WRAP53, NKX2-1-AS1 (NATs), DUXAP8, SFTA1P (pseudogene transcripts), uc.338, uc.339 (T-UCRs), and hTERC. Full article
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