PROSPECTS OF USING microRNAs AS PREDICTIVE MARKERS OF HORMONE-DEPENDENT BREAST CANCER DOI

O. Pridko,

Andriy Rusyn

Oncology, Journal Year: 2023, Volume and Issue: 25(4), P. 255 - 261

Published: Jan. 1, 2023

Summary. Hormone-dependent malignant neoplasms are the most common form of breast cancer (BC) worldwide. The high heterogeneity clinical manifestations and response to treatment indicates need search for prognostic predictive markers predict aggressiveness course hormone-dependent BC prescribe individualized tactics. MicroRNAs short RNA molecules that play an important role in regulating expression many genes. This is due fact miRNAs modulators growth, differentiation metastasis various histogenesis, including BC. can be used disease choose optimal tactics, since their levels determined not only tumor tissue but also blood serum. systematization generalization results our own research data from literature on possibility using miRNA as perceptiveness monitor process determine sensitivity tumors neoadjuvant hormonal therapy.

Language: Английский

Potential therapies for non-coding RNAs in breast cancer DOI Creative Commons
Ruonan Li,

Yuxin Ji,

Ruyin Ye

et al.

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Sept. 20, 2024

Breast cancer (BC) is one of the frequent tumors that seriously endanger physical and mental well-being in women with strong heterogeneity, its pathogenesis involves multiple risk factors. Depending on type BC, hormonal therapy, targeted immunotherapy are current systemic treatment options along conventional chemotherapy. Despite significant progress understanding BC therapeutic options, there still a need to identify new targets develop more effective treatments. According recent sequencing profiling studies, non-coding (nc) RNAs genes deregulated human cancers via deletion, amplification, abnormal epigenetic, or transcriptional regulation, similarly, expression many ncRNAs altered breast cell lines tissues. The ability single regulate downstream gene related pathways provides theoretical basis for studying them drug development delivery. Therefore, it far-reaching explore role tumor their potential as targets. Here, our review outlines two major ncRNAs, long (lncRNAs) microRNAs (miRNAs) diagnostic prognostic biomarkers well strategies cancer.

Language: Английский

Citations

1

Construction of ceRNA networks in endocrine therapy resistance model systems DOI Creative Commons

S. Pramanik,

Partha Pratim Das, Monalisa Mukherjee

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: May 17, 2024

ABSTRACT Background Endocrine therapy resistance (ETR) in breast cancer is achieved via multiple pathways including a decrease ER, dysregulation of cell cycle genes, and/or mutations ER/co-activators/co-repressors. We have reported earlier that high expression Jumonji domaining containing protein 6 (JMJD6) induced ETR by depleting ER expression. In this study, 3 cellular models representing distinct pathways; Tamoxifen resistant (TAMR), Long-term Estrogen deprived (LTEDI), JMJD6 overexpressing (JOE) cells, and parental MCF7 were subjected to RNA-sequencing, CNC, ceRNA network analysis. hypothesised post-comparison RNA regulations are common all lines, will reveal actionable markers targets. These be shared patients with ET-resistant disease, independent the initiating event. Results 170 differentially expressed genes found, these, 73 maintained same directionality (ETR cassette genes). segregated TCGA ER+ tumors into two groups, one intermixing ER-tumors. Pathway-based curation identified 21 (7 up- 14 down-regulated) participated hallmark pathways. Genes upregulated cells less at diagnosis when compared normal samples but their higher indicated adverse survival outcomes. Next, these used for CNC construction triad FLT4:MIR503HG:miR-497/195/424 was discovered. The levels miRNAs predicted analysis quantitative RT-PCR validate down regulation miR-497/195/424 upregulation targets, FLT4 MIR503HG cells. Conclusions show total RNA-seq data can successfully predict achieve drug resistance. Re-expression such as tumor diagnosis, may indicative onset. Finally, arise due suppression miR-424/497/195 leading MIR503HG. posit suitable target could developed detection strategy cancer.

Language: Английский

Citations

0

The role of circRNA in breast cancer drug resistance DOI Creative Commons
Shaofeng Yang, Donghai Li

PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e18733 - e18733

Published: Dec. 18, 2024

Among women with cancer, breast cancer has surpassed lung to become the most prevalent type of globally. High-throughput sequencing tissues from many patients revealed significant variations in circRNA expression across different types cancer. Chemotherapy is currently a very important method for treating cancer; however, as number chemotherapy sessions increases and considering factors such patient’s immune response, drug resistance challenging issue It well known that associated multiple factors, mechanisms involve roles circRNA. This review consolidates literature past 5 years addresses shortcomings broad description circRNA’s role resistance. categorizes describes its signaling pathways

Language: Английский

Citations

0

Estrogens and Estrogen Receptor Modulators in Cancer Research and Therapy DOI Open Access
Oliver Treeck

Cancers, Journal Year: 2023, Volume and Issue: 15(17), P. 4318 - 4318

Published: Aug. 29, 2023

Estrogens affect oncogenesis and tumor progression in a variety of cancer entities [...]

Language: Английский

Citations

1

PROSPECTS OF USING microRNAs AS PREDICTIVE MARKERS OF HORMONE-DEPENDENT BREAST CANCER DOI

O. Pridko,

Andriy Rusyn

Oncology, Journal Year: 2023, Volume and Issue: 25(4), P. 255 - 261

Published: Jan. 1, 2023

Summary. Hormone-dependent malignant neoplasms are the most common form of breast cancer (BC) worldwide. The high heterogeneity clinical manifestations and response to treatment indicates need search for prognostic predictive markers predict aggressiveness course hormone-dependent BC prescribe individualized tactics. MicroRNAs short RNA molecules that play an important role in regulating expression many genes. This is due fact miRNAs modulators growth, differentiation metastasis various histogenesis, including BC. can be used disease choose optimal tactics, since their levels determined not only tumor tissue but also blood serum. systematization generalization results our own research data from literature on possibility using miRNA as perceptiveness monitor process determine sensitivity tumors neoadjuvant hormonal therapy.

Language: Английский

Citations

0