| Literature DB >> 30035102 |
Peixin Dong1, Ying Xiong2, Junming Yue3,4, Sharon J B Hanley1, Hidemichi Watari1.
Abstract
B7H3 (also known as CD276, an immune checkpoint molecule) is aberrantly overexpressed in many types of cancer, and such upregulation is generally associated with a poor clinical prognosis. Recent discoveries indicate a crucial role for B7H3 in promoting carcinogenesis and metastasis. This review will focus on the latest developments relating specifically to the oncogenic activity of B7H3 and will describe the upstream regulators and downstream effectors of B7H3 in cancer. Finally, we discuss the emerging roles of microRNAs (miRNAs) in inhibiting B7H3-mediated tumor promotion. Excellent recent studies have shed new light on the functions of B7H3 in cancer and identified B7H3 as a critical promoter of tumor cell proliferation, migration, invasion, epithelial-to-mesenchymal transition, cancer stemness, drug resistance, and the Warburg effect. Numerous miRNAs are reported to regulate the expression of B7H3. Our meta-analysis of miRNA database revealed that 17 common miRNAs potentially interact with B7H3 mRNA. The analysis of the TCGA ovarian cancer dataset indicated that low miR-187 and miR-489 expression was associated with poor prognosis. Future studies aimed at delineating the precise cellular and molecular mechanisms underpinning B7H3-mediated tumor promotion will provide further insights into the cell biology of tumor development. In addition, inhibition of B7H3 signaling, to be used alone or in combination with other treatments, will contribute to improvements in clinical practice and benefit cancer patients.Entities:
Keywords: B7H3; CD276; cancer stem cells; epithelial-to-mesenchymal transition; metastasis; microRNA
Year: 2018 PMID: 30035102 PMCID: PMC6043641 DOI: 10.3389/fonc.2018.00264
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
The association between B7H3 expression and clinicopathologic factors of human cancers.
| Cancer type | No. | Method | Expression | Clinical factors | Reference | ||||
|---|---|---|---|---|---|---|---|---|---|
| Size | Stage/grade | Invasion depth | LN meta/recurrence | Survival | |||||
| Bladder, breast, cervical, colorectal, esophageal, kidney, liver, lung, ovarian, pancreatic, prostate cancer, glioma, melanoma | 1,342 | IHC | Upregulation | NA | NA | NA | NA | NA | ( |
| Bladder cancer | 302 | IHC | Upregulation | − | − | − | − | NA | ( |
| Endometrial cancer | 107 | IHC | Upregulation | − | + | NA | NA | Poor | ( |
| Pancreatic cancer | 26 | ELISA | Upregulation | + | NA | NA | NA | NA | ( |
| Pancreatic cancer | 59 | IHC | Upregulation | NA | + | NA | + | NA | ( |
| Cervical cancer | 108 | IHC | Upregulation | + | − | − | − | Poor | ( |
| Breast cancer | 90 | IHC | Upregulation | − | − | − | − | Poor | ( |
| Breast cancer | 82 | IHC/qPCR | Upregulation | + | + | − | + | NA | ( |
| Intrahepatic cholangiocarcinoma | 45 | IHC | Upregulation | − | − | + | + | Poor | ( |
| Colorectal cancer | 275 | IHC | Upregulation | NA | + | + | − | Poor | ( |
| Ovarian cancer | 103 | IHC | Upregulation | NA | + | − | − | Poor | ( |
| Glioma | 41 | IHC/microarray | Upregulation | NA | + | − | − | NA | ( |
| Melanoma | 97 | IHC/qPCR | Upregulation | NA | + | − | − | Poor | ( |
| Lung cancer | 270 | IHC | Upregulation | NA | + | NA | NA | Poor | ( |
| Lung cancer | 70 | IHC | Upregulation | NA | − | NA | + | NA | ( |
| Liver cancer | 24 | IHC | Upregulation | NA | + | + | − | Poor | ( |
| Prostate cancer | 823 | IHC | Upregulation | NA | NA | + | + | Poor | ( |
| Prostate cancer | 2,111 | Microarray | Upregulation | NA | + | NA | + | Poor | ( |
| Oral squamous cell carcinoma | NA | IHC | Upregulation | + | + | − | − | Poor | ( |
| Kidney cancer | 743 | IHC | Upregulation | + | + | NA | NA | Poor | ( |
| Pancreatic cancer | 96 | IHC/qPCR | Upregulation | NA | − | − | − | Better | ( |
| Gastric cancer | 32 | IHC/qPCR | Upregulation | − | − | − | − | Better | ( |
LN meta, lymph node metastasis; NA, data were not available.
Figure 1High expression of B7H3 was correlated with poorer prognosis in cancers. (A) B7H3 expression profile across TCGA pan-cancer datasets. Images were taken from the GEPIA (Gene Expression Profiling Interactive Analysis) online database (http://gepia.cancer-pku.cn). N, normal; C, cancer. *P < 0.05. (B) Kaplan–Meier curves for overall survival in indicated cancer types using the Kaplan–Meier Plotter database (www.kmplot.com). Red and black lines indicate patients with higher and lower than median B7H3 mRNA expression, respectively. High expression of B7H3 was significantly correlated with shorter overall survival in each Kaplan–Meier plotter cohort. BRCA, breast invasive carcinoma; OV, ovarian serous cystadenocarcinoma; UCEC, uterine corpus endometrial carcinoma; LUSC, lung squamous cell carcinoma; LIHC, liver hepatocellular carcinoma; STAD, stomach adenocarcinoma.
Roles, functions, and mechanisms of B7H3 in cancer.
| Cancer type | Role | Function | Mechanism | Reference |
|---|---|---|---|---|
| Prostate cancer | Oncogene | Migration, invasion | NA | ( |
| Melanoma/breast cancer | Oncogene | Migration, invasion | NA | ( |
| Melanoma/breast cancer | Oncogene | Migration, invasion | Increased the expression of MMP2, STAT3, and IL-8 | ( |
| Melanoma | Oncogene | Proliferation, glycolytic capacity, resistance to chemotherapy and small-molecule inhibitors | NA | ( |
| Breast cancer | Oncogene | Paclitaxel resistance | Activated JAK2/STAT3 pathway | ( |
| Breast cancer | Oncogene | Glucose uptake, lactate production, proliferation | Increased the expression of HIF1α and its downstream targets, LDHA and PDK1 | ( |
| Gastric cancer | Oncogene | Migration, invasion, proliferation | NA | ( |
| Gastric cancer | Oncogene | Migration, invasion | Increased CXCR4; and activated AKT, ERK, and JAK2/STAT3 phosphorylation | ( |
| Esophageal squamous cell carcinoma | Oncogene | Migration, invasion | NA | ( |
| Liver cancer | Oncogene | Proliferation, adhesion, migration, and invasion | NA | ( |
| Pancreatic cancer | Oncogene | Proliferation, invasion | NA | ( |
| Colorectal cancer | Oncogene | Resistance to chemotherapy | Activated JAK2/STAT3 pathway | ( |
| Colorectal cancer | Oncogene | Oxaliplatin resistance | Increased the expression of XRCC1 | ( |
| Colorectal cancer | Oncogene | Migration, invasion | Activated JAK2/STAT3/MMP9 pathway | ( |
| Colorectal cancer | Oncogene | Resistance to chemotherapy | Increased BRCC3 expression | ( |
| Colorectal cancer | Oncogene | Resistance to chemotherapy | Activated PI3K/AKT/TS pathway | ( |
| Colorectal cancer | Oncogene | Epithelial-to-mesenchymal transition, cancer stemness | Decreased E-cadherin expression and increased of N-cadherin, Vimentin, CD133, CD44, and OCT4 expression | ( |
| Osteosarcoma | Oncogene | Invasion | Increased the expression of MMP2 | ( |
| Pancreatic cancer | Oncogene | Invasion, metastasis | Activated TLR4/NF-κB signaling and increased IL-8 and VEGF expression | ( |
| Glioma | Oncogene | Migration, invasion, cancer stemness | NA | ( |
| Ovarian cancer | Oncogene | Resistance to chemotherapy and small-molecule inhibitors, cancer stemness | Possibly increased the expression of ALDH | ( |
NA, data were not available.
Figure 2MicroRNAs (miRNAs) that potentially regulate B7H3 expression in ovarian cancer. (A) Venn diagram showing the overlap of miRNAs that were predicted to bind to the B7H3 3′-UTR by alternative algorithms (TargetScan, miRSystem, and DIANA-MicroT-CDS). (B) The 17 predicted miRNAs were common to these three algorithms. (C) The Kaplan–Meier survival curves of 458 TCGA (Cancer Genome Atlas database) ovarian cancer samples were created using the SurvMicro database based on the low (n = 229) or high (n = 229) risk for a poor outcome. (D) Box plots demonstrating significantly lower levels of miR-187 and miR-489 expression in the high-risk ovarian cancer patients.