| Literature DB >> 31709184 |
Mingyue Wang1, Baoxing Liu2, Dan Li2, Yufeng Wu1, Xuan Wu1, Shuyue Jiao1, Cong Xu1, Sheng Yu1, Shuai Wang1, Jianwei Yang3, Yanmei Li3, Qiming Wang1, Suxia Luo1, Hong Tang1.
Abstract
Esophageal squamous cell carcinoma (ESCC), which is characterized by invasiveness and poor prognosis, is the sixth most common leading cause of cancer-related death worldwide. Despite advances in multimodality therapy, ESCC mortality remains high, and an understanding of the molecular changes that lead to ESCC development and progression remains limited. In the present study, Integrin Binding Sialoprotein (IBSP) upregulation was found in 182 of 269 (67.7%) primary ESCC cells at the mRNA level by quantitative real-time polymerase chain reaction (qRT-PCR). Additionally, IHC staining further demonstrated that IBSP was upregulated in ESCC patients and IBSP protein upregulation was significantly related to the lymph node metastasis (P = 0.017), clinicopathologic stage (P = 0.001) and poor disease survival (P = 0.002). Moreover, functional studies illustrated that the IBSP gene can promote the proliferation and metastasis of ESCC cells. Furthermore, IBSP was found to regulate epithelial-mesenchymal transition (EMT), which promotes tumor cell metastasis. In conclusion, our study suggests that IBSP may be a valuable prognostic marker for ESCC patients.Entities:
Keywords: EMT; ESCC; IBSP; invasion; metastasis
Year: 2019 PMID: 31709184 PMCID: PMC6823256 DOI: 10.3389/fonc.2019.01117
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Association of the upregulation of IBSP expression with the clinicopathological characteristics of patients with ESCC (n = 269).
| ≤60 | 148 | 63, 42.6% | 85, 57.4% | 0.801 | 0.384 |
| >60 | 121 | 45, 37.2% | 76, 62.8% | ||
| Male | 121 | 53, 43.8% | 68, 56.2% | 1.221 | 0.317 |
| Female | 148 | 55, 37.2% | 93, 62.8% | ||
| Well | 32 | 7, 21.9% | 25, 78.1% | 6.444 | 0.040 |
| Moderate | 178 | 72, 40.4% | 106, 59.6% | ||
| Poor | 59 | 29, 49.2% | 30, 50.8% | ||
| N0 | 149 | 50, 33.6% | 99, 66.4% | 6.039 | 0.017 |
| N1 | 120 | 58, 48.3% | 62, 51.7% | ||
| I | 17 | 1, 5.9% | 16, 94.1% | 14.285 | 0.001 |
| II | 155 | 57, 36.8% | 98, 63.2% | ||
| III | 97 | 50, 51.5% | 47, 48.5% | ||
| Medullar type | 140 | 56, 40% | 84, 60% | 0.098 | 0.992 |
| Ulcerative type | 90 | 36, 40% | 54, 60% | ||
| Sclerotic type | 16 | 7, 43.8% | 9, 56.3% | ||
| Mushroom type | 23 | 9, 39.1% | 14, 60.9% | ||
χ.
Figure 1(A) Dot-plot graph of the fold change in IBSP in ESCC tissues and their adjacent non-tumor tissues. Scatter plots of fold change in IBSP detected by qRT-PCR in ESCC tissues. (B) Representative images of IBSP expression in a pair of ESCC (lower panels) and adjacent normal tissues (upper panels) as detected by immunostaining with the anti-IBSP antibody (brown). The final score of ESCC subgroup is 6 points while that of normal subgroup is 1 point. The slides were counterstained with hematoxylin. Original magnification, ×100 (left), ×200 (right). **P < 0.01.
Univariate Cox regression analysis of factors possibly influencing disease-specific survival in patients with ESCC.
| IBSP expression | 0.573 | 0.442–0.744 | 0.000 |
| Age (years) | 0.825 | 0.640–1.063 | 0.137 |
| Sex | 0.872 | 0.675–1.127 | 0.295 |
| Tumor cell differentiation | 1.557 | 1.256–1.930 | 0.000 |
| pN factor | 1.968 | 1.519–2.551 | 0.000 |
| TNM stage | 2.399 | 1.830–3.147 | 0.000 |
Multivariate Cox regression analysis of factors possibly influencing disease-specific survival in patients with ESCC.
| IBSP expression | 0.660 | 0.505–0.863 | 0.002 |
| Tumor cell differentiation | 1.437 | 1.158–1.784 | 0.001 |
| pN factor | 1.040 | 0.637–1.699 | 0.874 |
| TNM stage | 0.442 | 0.267–0.730 | 0.001 |
Figure 2Kaplan-Meier plots for the disease-specific survival rate of ESCC patients. (A) Kaplan-Meier plots for the disease-specific survival (DSS) rate of ESCC patients with (n = 108, green line) or without (n = 161, blue line) IBSP upregulation. Kaplan-Meier plots for the DSS rate in ESCC patients with or without IBSP upregulation subgrouped into pathologic stage I–II (B) and pathologic stage III (C).
Figure 3Tumor promoter function of IBSP in ESCC cells. (A) Upregulation of IBSP in ESCC. The expression of IBSP in transfected ESCC cells (ibsp-30) was detected by RT-PCR. **P < 0.01. (B) The growth curve of IBSP-expressing cells was compared with that of Vec-30 cells by MTT assay. Data points indicate the mean of at least three independent experiments; bars, SD; **P < 0.05. (C) Representative auxo-action of IBSP in the foci formation of the culture monolayer and quantitative analyses of the foci quantity are shown. Columns indicate means of at least three independent experiments; bars, SD. **P < 0.05 vs. Vec-30 cells using Student's t-test. (D) The IBSP and Vec-30 cells that invaded through the Matrigel are shown in representative images. The number of invaded tumor cells is quantified in the histogram. Columns indicate means of triplicate experiments; *P < 0.05, **P < 0.01.
Figure 4IBSP improves the invasion and metastasis ability of tumor cells by regulating the EMT process. (A) Western blot analysis was performed to compare the expression levels of epithelial and mesenchymal markers transfected with no load cells and IBSP cells. β-Actin was used as a loading control. (B) Western blot was used to detect the efficiency of IBSP gene silencing and the expression of various markers in IBSP highly expressed cells and siRNA interfered cells. β-Actin was used as a loading control. (C) The interaction network of IBSP proteins was analyzed through the GeneMANIA database, and MMP2 and IBSP were found to be closely related. *P < 0.05, **P < 0.01.