| Literature DB >> 36012604 |
Jang Mi Han1, Hye Jin Jung1,2,3.
Abstract
Cyclophilin A (CypA), which has peptidyl-prolyl cis-trans isomerase (PPIase) activity, regulates multiple functions of cells by binding to its extracellular receptor CD147. The CypA/CD147 interaction plays a crucial role in the progression of several diseases, including inflammatory diseases, coronavirus infection, and cancer, by activating CD147-mediated intracellular downstream signaling pathways. Many studies have identified CypA and CD147 as potential therapeutic targets for cancer. Their overexpression promotes growth, metastasis, therapeutic resistance, and the stem-like properties of cancer cells and is related to the poor prognosis of patients with cancer. This review aims to understand the biology and interaction of CypA and CD147 and to review the roles of the CypA/CD147 interaction in cancer pathology and the therapeutic potential of targeting the CypA/CD147 axis. To validate the clinical significance of the CypA/CD147 interaction, we analyzed the expression levels of PPIA and BSG genes encoding CypA and CD147, respectively, in a wide range of tumor types using The Cancer Genome Atlas (TCGA) database. We observed a significant association between PPIA/BSG overexpression and poor prognosis, such as a low survival rate and high cancer stage, in several tumor types. Furthermore, the expression of PPIA and BSG was positively correlated in many cancers. Therefore, this review supports the hypothesis that targeting the CypA/CD147 interaction may improve treatment outcomes for patients with cancer.Entities:
Keywords: BSG; CD147; PPIA; anticancer therapy; cyclophilin A
Mesh:
Substances:
Year: 2022 PMID: 36012604 PMCID: PMC9408992 DOI: 10.3390/ijms23169341
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1Structure of CypA. (A) CypA has an 8-stranded antiparallel β-barrel structure with two α helices surrounding the barrel from either side. (B) Structure of CypA-CsA complex. CsA binds to the PPIase active site of CypA.
Figure 2Structure of CD147. (A) Structure of extracellular Ig domains of CD147. (B) One monomer of CD147 is 269 amino acids (aa) in length and consists of two extracellular Ig domains, Ig1 and Ig2, a single transmembrane domain, and a short cytoplasmic domain. The extracellular region of CD147 contains three asparagine (Asn) glycosylation sites.
Figure 3Interaction between CypA and CD147. CypA binds to amino acid Pro180 of CD147 and induces signal transduction through subsequent interaction with Pro211. The amino acid Glu218 of CD147 is also important for the signaling response.
Figure 4Major oncogenic signaling pathways regulated by CypA/CD147 axis. CypA expression can be regulated by HIF-1α and interacts with its receptor CD147 through autocrine/paracrine extracellular secretion. The CypA/CD147 interaction can activate directly or indirectly multiple oncogenic signaling pathways, including PI3K/AKT, Wnt/β-catenin, MAPKs, STAT3, Notch, and NF-κB, thereby promoting proliferation, antiapoptosis, metastasis, angiogenesis, drug resistance, and stemness of cancer cells.
The roles of CypA/CD147 in cancer.
| The Key Processes | Protein | The Roles of CypA and CD147 in Cancer | References |
|---|---|---|---|
| Proliferation | CypA | Overexpression and autocrine secretion by activation of HIF-1α | [ |
| IL-8 mediated proliferation by stabilization | [ | ||
| Promotion of the cell cycle transition from G1 to S phase | [ | ||
| Causes of higher tumor malignancy | [ | ||
| Activation of JAK2/STAT5 signaling pathway | [ | ||
| CD147 | Promotion of tumorigenesis with CD44 | [ | |
| Induction of Ki-67 expression | [ | ||
| CypA | Activation of JNK/ERK1/2/p38 MAPK signaling pathways | [ | |
| Overexpression in human tumor tissues than in normal tissues | [ | ||
| Induction of the secretion of IL-5 and IL-17 | [ | ||
| Activation of PI3K/AKT/mTOR signaling pathway | [ | ||
| Poor prognosis | [ | ||
| Stimulation of cyclin D1/survivin by activation of STAT3 | [ | ||
| Metastasis | CypA | Induction of migration through p38 MAPK activation | [ |
| Positive correlation with MMP | [ | ||
| Local recurrence and distant metastasis | [ | ||
| CD147 | Promotion of metastasis with CD44 | [ | |
| Induction of angiogenesis by increasing VEGF production | [ | ||
| CypA | Promotion of the invasion and migration | [ | |
| Antiapoptosis | CypA | Inhibition of hypoxia- and cisplatin-induced apoptosis | [ |
| Upregulation after radiation therapy | [ | ||
| CD147 | Promotion of anticancer efficacy by trastuzumab | [ | |
| CypA | Activation of PI3K/AKT/mTOR signaling pathway | [ | |
| Modulation of Bcl-2 family | [ | ||
| Inhibition of caspase cascades | [ | ||
| Contribution to cancer aggressiveness | [ | ||
| Resistance to | CypA | Inhibition of cisplatin-induced apoptosis | [ |
| Upregulation of IL6, MRP2, MGST1, and GSTZ1 | [ | ||
| Causes of chemoresistance through redox modification | [ | ||
| Causes of resistance to ER stress inducer-caused apoptosis | [ | ||
| CD147 | Causes of radiation resistance by interacting with integrin β1 | [ | |
| Promotion of tumor chemotolerance through interactions | [ | ||
| Cancer stem cells | CypA | Promotion of self-renewal, proliferation, and radiotherapy resistance through Wnt/β-catenin signaling | [ |
| The most stably expressed essential gene in CSC | [ | ||
| Induction of sphere formation, self-renewal, and metastasis | [ | ||
| CD147 | Release of small extracellular vesicles for invasion | [ | |
| Induction of self-renewal capacity, differentiation, | [ | ||
| Activation of SLC34A2/PI3K/AKT/SOX2 signaling | [ | ||
| CypA | Promotion of CD44+/CD133+ CSCs | [ | |
| Induction of CSC features through STAT3 signaling | [ |
Therapeutic potential of targeting CypA/CD147 in cancer.
| Target Protein | Inhibitors | Mechanism | Therapeutic Potential | Cancer | References |
|---|---|---|---|---|---|
| CypA | Cyclosporin A | PPIase | Interference of CypA | Breast cancer, | [ |
| Sanglifehrin A | PPIase | Binding to CypA with about 60-fold higher affinity than CsA | T cells, B cells, | [ | |
| Debio-025 (Alisporivir) | Crk | Nonimmunosuppressive | Breast cancer, | [ | |
| SCY-635, NIM811 | NS5A | Nonimmunosuppressive | Hepatitis | [ | |
| NV651 | PPIase | Nonimmunosuppressive | Hepatocellular | [ | |
| 23-demethyl 8,13-deoxynargenicin (compound 9) | MAPK | Inhibition of proliferation, | Gastric cancer | [ | |
| Melittin | MMP-9 | Inhibition of Metastasis | Breast cancer | [ | |
| RNA | PPIase | Inhibition of tumor growth, | Lung | [ | |
| NF-κB | Inhibition of glioblastoma growth | Glioblastoma | [ | ||
| CD147 | AC-73 | CD147 | Inhibition of metastasis and growth, | Hepatocellular | [ |
| Metuximab (Licartin) | CD44/STAT3 signaling | Prevention of | Hepatocellular | [ | |
| RNA | Stemness | Suppression of the proliferation | Colorectal | [ | |
| Caspase-3/9, | Promotion of | HER2-positive breast cancer | [ | ||
| XIAP | Induction of apoptosis | Oral squamous | [ | ||
| Caspase-3, | Induction of apoptosis, | Triple-negative breast cancer | [ |
Figure 5mRNA expression levels of PPIA and BSG in tumor tissues compared with normal tissues. (A) Expression levels of PPIA. (B) Expression levels of BSG. The data were obtained through UALCAN analysis using the TCGA database. BLCA, bladder carcinoma; BRCA, breast invasive carcinoma; CESC, cervical squamous cell carcinoma and endocervical adenocarcinoma; CHOL, cholangiocarcinoma; COAD, colon adenocarcinoma; ESCA, esophageal carcinoma; GBM, glioblastoma; HNSC, head and neck squamous cell carcinoma; KICH, kidney chromophobe; KIRC, kidney renal clear-cell carcinoma; KIRP, kidney renal papillary cell carcinoma; LIHC, liver hepatocellular carcinoma; LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma; PAAD, pancreatic adenocarcinoma; PRAD, prostate adenocarcinoma; PCPG, pheochromocytoma and paraganglioma; READ, rectal adenocarcinoma; SARC, sarcoma; SKCM, skin cutaneous melanoma; THCA, thyroid carcinoma; THYM, thymoma; STAD, stomach adenocarcinoma; UCEC, uterine corpus endometrial carcinoma.
The mRNA expression levels of PPIA in normal and tumor samples.
| TCGA Samples | Expression of | |||
|---|---|---|---|---|
| Normal Samples | Tumor Samples | |||
| Number of Samples | Median | Number of Samples | Median | |
| BLCA | 19 | 6.985▼ | 408 | 7.691▲ |
| BRCA | 114 | 7.077▼ | 1097 | 7.572▲ |
| CESC | 3 | 6.748▼ | 305 | 7.728▲ |
| CHOL | 9 | 5.485▼ | 36 | 7.41▲ |
| COAD | 41 | 7.013▼ | 286 | 7.756▲ |
| ESCA | 11 | 6.031▼ | 184 | 7.842▲ |
| GBM | 5 | 7.263▼ | 156 | 8.328▲ |
| HNSC | 44 | 6.78▼ | 520 | 7.474▲ |
| KICH | 25 | 7.143▼ | 67 | 7.217▲ |
| KIRC | 72 | 7.074▼ | 533 | 7.27▲ |
| KIRP | 32 | 6.807▼ | 290 | 7.504▲ |
| LIHC | 50 | 5.672▼ | 371 | 6.883▲ |
| LUAD | 59 | 6.89▼ | 515 | 7.387▲ |
| LUSC | 52 | 6.916▼ | 503 | 7.613▲ |
| PAAD | 4 | 7.009▼ | 178 | 7.178▲ |
| PRAD | 52 | 6.729▼ | 497 | 7.035▲ |
| PCPG | 3 | 6.686▼ | 179 | 6.994▲ |
| READ | 10 | 7.106▼ | 166 | 8.21▲ |
| SARC | 2 | 6.672▼ | 260 | 7.044▲ |
| SKCM | 1 | 7.477▼ | 472 | 7.662▲ |
| THCA | 59 | 6.85▼ | 505 | 6.876▲ |
| THYM | 2 | 7.393▼ | 120 | 8.092▲ |
| STAD | 34 | 6.592▼ | 415 | 7.623▲ |
| UCEC | 35 | 6.905▼ | 546 | 8.881▲ |
The mRNA expression levels of BSG in normal and tumor samples.
| TCGA Samples | Expression of | |||
|---|---|---|---|---|
| Normal Samples | Tumor Samples | |||
| Number of Samples | Median | Number of Samples | Median | |
| BLCA | 19 | 9.097▼ | 408 | 9.437▲ |
| BRCA | 114 | 8.505▼ | 1097 | 9.027▲ |
| CESC | 3 | 9.126▼ | 305 | 9.276▲ |
| CHOL | 9 | 6.909▼ | 36 | 9.00▲ |
| COAD | 41 | 10.581▲ | 286 | 9.653▼ |
| ESCA | 11 | 8.682▼ | 184 | 9.39▲ |
| GBM | 5 | 9.608▲ | 156 | 9.575▼ |
| HNSC | 44 | 8.455▼ | 520 | 9.286▲ |
| KICH | 25 | 10.039▼ | 67 | 11.292▲ |
| KIRC | 72 | 9.674▲ | 533 | 9.535▼ |
| KIRP | 32 | 10.062▼ | 290 | 10.475▲ |
| LIHC | 50 | 6.894▼ | 371 | 8.409▲ |
| LUAD | 59 | 8.916▼ | 515 | 9.144▲ |
| LUSC | 52 | 8.76▼ | 503 | 9.033▲ |
| PAAD | 4 | 9.01▼ | 178 | 9.12▲ |
| PRAD | 52 | 9.073▼ | 497 | 9.368▲ |
| PCPG | 3 | 9.959▼ | 179 | 10.077▲ |
| READ | 10 | 9.925▲ | 166 | 9.487▼ |
| SARC | 2 | 9.879▲ | 260 | 9.384▼ |
| SKCM | 1 | 9.364▼ | 472 | 10.145▲ |
| THCA | 59 | 9.421▼ | 505 | 9.61▲ |
| THYM | 2 | 8.774▼ | 120 | 9.056▲ |
| STAD | 34 | 9.015▼ | 415 | 9.514▲ |
| UCEC | 35 | 9.347▼ | 546 | 10.024▲ |
Figure 6Transcription levels of PPIA and BSG in individual cancer stages (normal, stage 1, stage 2, stage 3, stage 4). (A) Expression levels of PPIA. (B) Expression levels of BSG. The data were obtained through UALCAN analysis using the TCGA database. The full name of each carcinoma is described in the legend in Figure 5.
Figure 7Correlation of PPIA and BSG expression on patient survival. (A) Relationship of PPIA mRNA expression. (B) Relationship of BSG mRNA expression. The data were obtained through TIMER analysis using the TCGA database. The full name of each carcinoma is described in the legend in Figure 5. Red line, high (top 25% expression group); blue line, low (bottom 25% expression group).
Figure 8Correlation between transcription levels of PPIA and BSG. The data were obtained through cBioPortal analysis using the TCGA database. The full name of each carcinoma is described in the legend in Figure 5.