| Literature DB >> 36212400 |
Yingnan Wu1, Zhenzhen Wang1, Shan Yu2, Dongzhe Liu3, Litao Sun1.
Abstract
MIR100HG, also known as lncRNA mir-100-let-7a-2-mir-125b-1 cluster host gene, is a new and critical regulator in cancers in recent years. MIR100HG is dysregulated in various cancers and plays an oncogenic or tumor-suppressive role, which participates in many tumor cell biology processes and cancer-related pathways. The errant expression of MIR100HG has inspired people to investigate the function of MIR100HG and its diagnostic and therapeutic potential in cancers. Many studies have indicated that dysregulated expression of MIR100HG is markedly correlated with poor prognosis and clinicopathological features. In this review, we will highlight the characteristics and introduce the role of MIR100HG in different cancers, and summarize the molecular mechanism, pathways, chemoresistance, and current research progress of MIR100HG in cancers. Furthermore, some open questions in this rapidly advancing field are proposed. These updates clarify our understanding of MIR100HG in cancers, which may pave the way for the application of MIR100HG-targeting approaches in future cancer diagnosis, prognosis, and therapy.Entities:
Keywords: MIR100HG; biomarker; cancer; lncRNA; lncmiRHG; therapeutic target
Year: 2022 PMID: 36212400 PMCID: PMC9544809 DOI: 10.3389/fonc.2022.997532
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1The genomic context of the MIR100HG. The genomic context of the MIR100HG was extracted from NCBI database (http://www.ncbi.nlm.nih.gov/gene/399959). Source: U.S. National Library of Medicine.
Figure 2Optimal secondary structure of the MIR100HG. Prediction of the optimal secondary structure of the MIR100HG (Forena format) with-746.40 kcal/mol with its dot-bracket notation using the R-fold web server. (A) sequence; (B) dot–bracket notation; (C) the optimal secondary structure of the MIR100HG. In this structure, the color of the nucleotides is as follows: A, yellow; U, blue; C, green; G, red.
Figure 3The relative expression level of MIR100HG in pan-cancer and adjacent normal tissues. The expression level of MIR100HG in different tissue of the digestive and respiratory systems. (A) urogenital system; (B) and other systems; (C) * |Log2FC|>1, p < 0.01. Data extracted from GEPIA2, all abbreviations in this figure refers to TCGA database ( ).
Figure 4Overall survival (A) and disease-free survival (B) significance map of MIR100HG. The cut-off value was determined using the quartile of MIR100HG expression. Significance was defined as p < 0.05 and labeled with bold. Red represents high MIR100HG expression which suggests worse overall survival and disease-free survival; Blue represents high MIR100HG expression which suggests favorable overall survival and disease-free survival. Data extracted from GEPIA2, all abbreviations in this figure refers to TCGA database ( ).
Functional characterization of MIR100HG in cancers.
| Cancer types | Expression | Model used | Functions | Genes/proteins/pathways affected | Role | References |
|---|---|---|---|---|---|---|
| Brain tumor | Upregulated/Downregulated | Cell lines | Cell apoptosis, cycle proliferation, migration, and invasion | BCL-2, miR-19a-3p, miR-19b-3p, mir-106a-5p, CDK6, MYCN, SNCAIP, and KDM6A | Oncogenic/Suppressive | ( |
| Head and neck squamous cell carcinoma | Upregulated | TCGA database | Cell proliferation, migration, invasion, and chemoresistance | Variant rs1816158, miR-204-5p, miR-100, miR-125b, DKK1, ZNRF3, RNF43, DKK3, APC2, and Wnt signal pathway | Oncogenic | ( |
| Papillary thyroid cancer | Downregulated | TCGA database | – | Hsa-miR-34a-5p and CDHR3 | Suppressive | ( |
| Breast cancer | Upregulated | TCGA database | Cell apoptosis, cycle proliferation, migration, invasion, and EMT | OTX1, p27, p21, cyclin D1, miR-5590-3p, mi100, SMARCA5, E-cadherin, MET, SMO, SEMA3C, CCND1, ERK/MAPK signal pathway, and cell cycle signal pathway | Oncogenic | ( |
| Hepatocellular carcinoma | Upregulated | Cell lines | Cell viability, migration, and invasion | MiR-146b-5p and CBX6 | Oncogenic | ( |
| Lung cancer | Downregulated | Array Express database | – | – | Suppressive | ( |
| Gastric cancer | Upregulated | GEO and TCGA database | Cell proliferation, migration, invasion, activation of T cells, immune escape, and chemoresistance | Dilated cardiomyopathy, the glutathione metabolism, peroxisome and glycosphingolipid biosynthesis, vascular smooth muscle contraction, focal adhesion, cGMP−PKG, calcium signaling, TGF beta signaling pathways, muscle organ development, cytoskeleton organization, muscle contraction biological process CXXC4, and CDK18-ERK1/2 axis. | Oncogenic | ( |
| Pancreatic ductal adenocarcinoma | Upregulated | TCGA database | Stemness, EMT, motility, metastasis, and tumorigenesis | TGF-β, LIN28B, miR-100, miR-125b-1, let-7a, SMAD2/3/4, TP53, apoptosis, and DNA damage crucial pathways | Oncogenic | ( |
| Colorectal cancer | Upregulated | TCGA database | Cell migration, invasion, and chemoresistance, EMT, and cycle arrest | HNRNPA2B1, TCF7L2, miR-100, miR-125b, Wnt signal pathway, DKK1, ZNRF3, RNF43, DKK, APC2, β-catenin, HDAC6, and p57 | Oncogenic | ( |
| Bladder cancer | Upregulated/ | Cell lines | Cell proliferation, migration, invasion, and tumor formation | HNRNPA2B1, miR-142-5p, and CALD1 | Oncogenic/Suppressive | ( |
| Cervical cancer | Downregulated | GEO and TCGA database | – | Gap junction and TGF-β signal pathway | Suppressive | ( |
| Osteosarcoma | Upregulated | GWA data | Cell proliferation, cycle arrest, and apoptosis | ELK1, EZH2, LATS1/2, Hippo, PI3K and Rb signal pathway | Oncogenic | ( |
| Leukemia | Upregulated | Cell lines | Cell proliferation, viability, apoptosis, and necrosis | MiR-100, miR-125b-1, and TGFβ | Oncogenic | ( |
Clinical significance of MIR100HG in cancers.
| Cancer types | Model used | Clinicopathologic features | References |
|---|---|---|---|
| Head and neck squamous cell carcinoma | TCGA database | AJCC stage, resistance, and overall survival | ( |
| Papillary thyroid cancer | GEO and TCGA database | Overall survival | ( |
| Breast cancer | Mice | Larger tumor size and poor survival | ( |
| Hepatocellular carcinoma |
| TNM stage and Edmondson-Steiner grading | ( |
| Gastric cancer | GEO and TCGA database | Survival time, TNM stage, clinical stage, tumor invasion, lymph node metastasis, distant metastasis, overall survival, and disease-free survival | ( |
| Pancreatic ductal adenocarcinoma | Human tissues | Overall survival and disease-free survival | ( |
| Colorectal cancer | TCGA database | T stage, lymph node metastasis, distant metastasis, AJCC stage, histological differentiation, poor survival, and unfavorable prognosis | ( |
| Bladder cancer | GEO and TCGA database | Poor clinical outcome, poor prognosis, chemosensitivity, histological grade and clinical stage | ( |
| Cervical cancer | GEO and TCGA database | Lymph node metastasis and poor prognosis | ( |
| Osteosarcoma | Human tissues | Tumor size, advanced clinical stage, and poor prognosis | ( |
Figure 5Multiple known regulatory mechanisms of MIR100HG in various human cancers.