| Literature DB >> 36059609 |
Xuehao Zhou1, Xiang Ao1, Zhaojun Jia2, Yiwen Li1, Shouxiang Kuang1, Chengcheng Du1, Jinyu Zhang1, Jianxun Wang1, Ying Liu1,3.
Abstract
Cancer is one of the most frequently diagnosed malignant diseases worldwide, posing a serious, long-term threat to patients' health and life. Systemic chemotherapy remains the first-line therapeutic approach for recurrent or metastatic cancer patients after surgery, with the potential to effectively extend patient survival. However, the development of drug resistance seriously limits the clinical efficiency of chemotherapy and ultimately results in treatment failure and patient death. A large number of studies have shown that non-coding RNAs (ncRNAs), particularly microRNAs, long non-coding RNAs, and circular RNAs, are widely involved in the regulation of cancer drug resistance. Their dysregulation contributes to the development of cancer drug resistance by modulating the expression of specific target genes involved in cellular apoptosis, autophagy, drug efflux, epithelial-to-mesenchymal transition (EMT), and cancer stem cells (CSCs). Moreover, some ncRNAs also possess great potential as efficient, specific biomarkers in diagnosis and prognosis as well as therapeutic targets in cancer patients. In this review, we summarize the recent findings on the emerging role and underlying mechanisms of ncRNAs involved in cancer drug resistance and focus on their clinical applications as biomarkers and therapeutic targets in cancer treatment. This information will be of great benefit to early diagnosis and prognostic assessments of cancer as well as the development of ncRNA-based therapeutic strategies for cancer patients.Entities:
Keywords: biomarker; cancer; drug resistance; non-coding RNA; therapeutic target
Year: 2022 PMID: 36059609 PMCID: PMC9428469 DOI: 10.3389/fonc.2022.951864
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Schematic diagram of ncRNA biogenesis and action patterns. (A) Pri-miRNA is transcribed by RNA polymerasel II from genomic loci and further processed into pre-miRNA by microprocessor complex. Subsequently, pre-miRNA is exported to the cytoplasm and further processed into double-stranded miRNA via the Dicer/TRBP/PACT complex. Next, with the help of Ago/GW182, the double-stranded miRNA is processed into mature miRNA, which directly binds to the 3’-UTR of target mRNA, and then facilitates its degradation. (B) LncRNA transcribed by RNA polymerase II is exported to the cytoplasm. Subsequently, lncRNA exerts its biological role by acting as sponges of miRNAs, RBPs, and TFs. (C) CircRNA is mainly derived from precursor mRNAs via back-splicing reaction, by which the single strand of circRNA forms a covalently closed-loop structure. CircRNA plays crucial roles in cellular processes by serving as sponges of miRNAs, RBPs, and TFs.
Roles of ncRNAs in cancers drug resistance.
| Cancer types | Chemotherapeutic drugs | ncRNAs | Gene type | Alteration | Effect on Drug Resistance | Reference |
|---|---|---|---|---|---|---|
| OC | CDDP | miR-133a, miR-29c-3p, miR-30a | Tumor suppressor | Downregulated | Sensitivity to CDDP | ( |
| miR-181d, miR-149-3p | Oncogene | Upregulated | Resistance to CDDP | ( | ||
| PTX | miR-194-5p, hsa‐miR‐105 | Tumor suppressor | Downregulated | Sensitivity to PTX | ( | |
| lncRNA SDHAP1, lncRNA HULC | Oncogene | Upregulated | Resistance to PTX | ( | ||
| GC | 5-FU | miR-204, miR195, exosomal miR-107 | Tumor suppressor | Downregulated | Sensitivity to 5-FU | ( |
| miR-149 | Oncogene | Upregulated | Resistance to 5-FU | ( | ||
| CDDP | microRNA-206 | Tumor suppressor | Downregulated | Sensitivity to CDDP | ( | |
| miR-193a-3p | Oncogene | Upregulated | Resistance to CDDP | ( | ||
| OXA | hsa_circ_0001546 | Tumor suppressor | Downregulated | Sensitivity to OXA | ( | |
| lncRNA DDX11-AS1 | Oncogene | Upregulated | Resistance to OXA | ( | ||
| NSCLC | CDDP | miR-186-5p, miR-101-3p | Tumor suppressor | Downregulated | Sensitivity to CDDP | ( |
| microRNA-25-3p | Oncogene | Upregulated | Resistance to CDDP | ( | ||
| CRC | 5-FU | miR-375-3p | Tumor suppressor | Downregulated | Sensitivity to 5-FU | ( |
| miR-29b-3p | Oncogene | Upregulated | Resistance to 5-FU | ( | ||
| OXA | miR-200b-3p | Tumor suppressor | Downregulated | Sensitivity to OXA | ( | |
| miR-454-3p | Oncogene | Upregulated | Resistance to OXA | ( | ||
| HCC | sorafenib | miR-138-1-3p, miRNA-124-3p.1 | Tumor suppressor | Downregulated | Sensitivity to sorafenib | ( |
| miR-126-3p | Oncogene | Upregulated | Resistance to sorafenib | ( | ||
| CDDP | miR-27a-3p | Tumor suppressor | Downregulated | Sensitivity to CDDP | ( | |
| lncRNA FGD5-AS1 | Oncogene | Upregulated | Resistance to CDDP | ( | ||
| BC | ADR | miR-3609 | Tumor suppressor | Downregulated | Sensitivity to ADR | ( |
| microRNA-221 | Oncogene | Upregulated | Resistance to ADR | ( | ||
| tamoxifen | lncRNA ADAMTS9-AS2 | Tumor suppressor | Downregulated | Sensitivity to tamoxifen | ( | |
| miR-24-3p | oncogene | Upregulated | Resistance to tamoxifen | ( | ||
| CC | CDDP | miR-144 | Tumor suppressor | Downregulated | Sensitivity to CDDP | ( |
| lncRNA OTUD6B-AS1 | Oncogene | Upregulated | Resistance to CDDP | ( | ||
| Prostate cancer | docetaxel | circFoxo3 | Tumor suppressor | Downregulated | Sensitivity to docetaxel | ( |
| exosomal circ-XIAP | Oncogene | Upregulated | Resistance to docetaxel | ( | ||
| PC | gemcitabine | miRNA-3662 | Tumor suppressor | Downregulated | Sensitivity to gemcitabine | ( |
| miR-93-5p | Oncogene | Upregulated | Resistance to gemcitabine | ( | ||
| Bladder cancer | CDDP | exosomal LINC00355 | Oncogene | Upregulated | Resistance to CDDP | ( |
| Renal cancer | sunitinib | miR-130b | Oncogene | Upregulated | Resistance to sunitinib | ( |
Figure 2Classical mechanisms of ncRNAs in cancer drug resistance. The dysregulation of ncRNAs contributes to the development of cancer drug resistance by modulating multiple cellular processes of cancer cells, such as drug efflux, cell apoptosis, autophagy, and EMT as well as the acquisition of CSC characteristics.
NcRNAs as biomarkers diagnostic and prognostic in cancers drug resistance.
| Cancer types | Biomarker types | ncRNAs | Potential values | Reference |
|---|---|---|---|---|
| OC | Diagnosis | miR-138-5p, miR-182-5p | Low levels of miR-138-5p, miR-182-5p, LINC01508 and circRNA_0000735 predict poor response to chemotherapy. | ( |
| miR-205-5p | High levels of miR-205-5p, lncRNA CHRF and exosomal circFoxp1 predict poor response to chemotherapy. | ( | ||
| Prognosis | miR-378a-3p, miR-513a-3p | Low levels of miR-378a-3p, miR-513a-3p and LINC00515 predict poor prognosis. | ( | |
| miR-98-5p | High levels of miR-98-5p, lncRNA HOTAIR and circTNPO3 predict poor prognosis. | ( | ||
| GC | Diagnosis | miR-124-3p | Low levels of miR-124-3p, lncRNA CASC2, hsa_circ_0000520 predict poor response to chemotherapy. | ( |
| exosomal miR-223 | High levels of exosomal miR-223, lncRNA MALAT1, circ_0026359 predict poor response to chemotherapy. | ( | ||
| Prognosis | miR-34a | Low levels of miR-34a and hsa_circ_0001546 predict poor prognosis. | ( | |
| miR-15a-5p | High levels of miR-15a-5p, LncRNA EIF3J-DT and circ_0026359 predict poor prognosis. | ( | ||
| NSCLC | Diagnosis | miR-519d-3p | Low expression level of miR-519d-3p correlates with a decreased responsiveness to gefitinib. | ( |
| exosomal miR-136-5p | High level of exosomal miR-136-5p and lncRNA HOST2 predict poor response to chemotherapy. | ( | ||
| Prognosis | miR‐133a‐3p | Low levels of miR‐133a‐3p and lncRNA RHPN1-AS1 predict poor prognosis. | ( | |
| lncRNA EGFR‐AS1 | High levels of lncRNA EGFR‐AS1 and circ_0005909 predict poor prognosis. | ( | ||
| CRC | Diagnosis | miR-325 | Low levels of miR-325 and lncRNA MEG3 predict poor response to chemotherapy. | ( |
| miR-454-3p | Upregulated miR-454-3p is related to a poor response to OXA-based treatment. | ( | ||
| Prognosis | miR-302a | Low levels of miR-302a and lncRNA HAND2-AS1 predict poor prognosis. | ( | |
| lncRNA AGAP2-AS1 | High levels of lncRNA AGAP2-AS1 and circHIPK3 predict poor prognosis. | ( | ||
| BC | Diagnosis | miR-24-3p | High levels of miR-24-3p and LINC00160 predict poor response to chemotherapy. | ( |
| lncRNA CBR3-AS1 | High levels of lncRNA CBR3-AS1 and circWAC predict poor prognosis. | ( | ||
| HCC | Diagnosis | LINC00680 | High levels of LINC00680 and circRNA-SORE predict poor response to chemotherapy. | ( |
| Prognosis | circRNA_101237 | High serum level of circRNA_101237 is related to a poor survival of patients (P<0.001). | ( | |
| PC | Diagnosis | miR-20a-5p | MiR-20a-5p level can serve as a predictor of gemcitabine resistance with an AUC of 89% (P<0.0001), for its downregulation correlates with poor response to gemcitabine. | ( |
| Prognosis | microRNA-296-5p | High levels of microRNA-296-5p and lncRNA HCP5 predict poor prognosis. | ( | |
| Glioma | Prognosis | miR-1246 | Overexpression of miR-1246 predict a low OS in high grade glioma patients. | ( |
| Multiple Myeloma | Diagnosis | exosomal circMYC | Upregulated expression of circulating exosomal circMYC correlates with decreased sensitivity to bortezomib. | ( |
Figure 3Clinical implications of ncRNAs in cancer drug resistance. NcRNAs are enriched in tissue, blood, and urine samples from cancer patients with drug resistance. The expression profiles of ncRNAs are mapped using high-throughput sequencing technologies. Next, the differentially expressed ncRNAs are screened and identified by bioinformatics analysis. Subsequently, the mechanisms of ncRNAs in cancer drug resistance are elucidated using cell and animal models. The aberrantly expressed ncRNAs that possessed great potential as biomarkers and/or therapeutic targets are identified. Finally, cancer patients, particularly those with drug resistance, receive the individualized precision treatment strategies.