| Literature DB >> 32005028 |
Bai-Quan Qiu1, Xia-Hui Lin2, Xu-Dong Ye1, Wei Huang3, Xu Pei1, Dian Xiong1, Xiang Long1, Shu-Qiang Zhu1, Feng Lu1, Kun Lin1, Xiao-Qiang Zhang1, Jian-Jun Xu1, Lu-Lu Sheng4, Xue-Mei Zhang3, Peng-Fei Zhang3,5, Yong-Bing Wu1.
Abstract
BACKGROUNDS: Emerging evidences has demonstrated that dysregulation of long non-coding RNAs (lncRNAs) is critically involved in esophageal squamous cell carcinoma (ESCC) progression. However, the function of lncRNA PSMA3-AS1 in ESCC is unclear. Therefore, we aimed to explore the functions and potential mechanisms of PSMA3-AS1 in ESCC cells progression.Entities:
Keywords: enhancer of zeste homolog 2; esophageal squamous cell carcinoma (ESCC); long non-coding RNA; metastasis; proliferation
Year: 2020 PMID: 32005028 PMCID: PMC7053621 DOI: 10.18632/aging.102716
Source DB: PubMed Journal: Aging (Albany NY) ISSN: 1945-4589 Impact factor: 5.682
Figure 1PSMA3-AS1 is overexpressed in ESCC tissues and higher PSMA3-AS1 expression is correlated with a poor prognosis for ESCC. (A) PSMA3-AS1 expression in ESCC tissues and their corresponding adjacent non-tumor tissues according to RT-qPCR analysis. GAPDH was used as an internal control for loading. (B) In total, 120 patients were divided into groups with and without distant metastasis. The diagram shows PSMA3-AS1 expression in each group. ***p < 0.001. (C) In total, 120 patients were divided into ≤ 4 cm and > 4 cm size groups. The diagram shows PSMA3-AS1 expression in each group. ***p < 0.01. (D) and (E) The OS and cumulative recurrence rates of 120 patients with ESCC were compared between the PSMA3-AS1low and PSMA3-AS1high groups using the Kaplan–Meier method (log-rank test). The data are represented as the mean ± SD, n=3. ***P < 0.001.
Correlation between PSMA3-AS1 and clinicopathological characteristics in 120 HEC patients.
| Age | 0.707 | |||||||
| <60 | 60 | 22 | 38 | |||||
| ≥60 | 60 | 24 | 36 | |||||
| Gender | 0.113 | |||||||
| Male | 70 | 31 | 39 | |||||
| Female | 50 | 15 | 35 | |||||
| Tumor stage | 0.000 | |||||||
| I–II | 55 | 32 | 23 | |||||
| III–IV | 65 | 14 | 51 | |||||
| Distant metastasis | 0.000 | |||||||
| Yes | 59 | 5 | 54 | |||||
| No | 61 | 41 | 20 | |||||
| Tumor size | 0.000 | |||||||
| ≤4 cm | 64 | 34 | 30 | |||||
| >4 cm | 56 | 12 | 44 | |||||
| Differentiation | 0.000 | |||||||
| Well/moderate | 60 | 34 | 26 | |||||
| Poor | 60 | 12 | 48 | |||||
*P values <0 .05 were considered statistically significant. The Pearson Chi- square test was used.
Univariate and multivariate analyses of factors associated with overall survival
| Sex (female vs. male) | 0.425 | NA | ||
| Age (<60 vs. ≥60) | 0.174 | NA | ||
| Tumor size (≤4cm vs. >4cm) | 0.253 | NA | ||
| Metastasis (Yes vs. No) | 0.027 | NA | ||
| Tumor stage (I/II vs. III/IV) | 0.124 | NA | ||
| Differentiation (Well/moderate vs. poor) | 0.001 | 0.521 | 0.272-0.998 | 0.049 |
| PSMA3-AS1 expression (high vs. low) | 0.000 | 0.398 | 0.194-0.816 | 0.012 |
OS overall survival, NA not adopted, 95%CI 95% confidence interval, HR hazard ratio, Cox proportional hazards regression model
Figure 2Forced PSMA3-AS1 expression promotes ESCC cell proliferation, migration, and invasion in vitro. (A) PSMA3-AS1 expression in several ESCC cell lines was examined using RT-qPCR analysis. GAPDH was used as an internal loading control. (B) PSMA3-AS1 expression in ESCC KYSE150 and KYSE450 cells was modified by cDNA transfection. (C) and (D) Cancer cell proliferation was measured using CCK-8 (C) and clone formation assays (D). (E) Cancer cell migration was measured using wound healing assay. (F) Cancer cell invasion was measured using transwell assay. The data are represented as the mean ± SD, n=3. *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.
Figure 3Decreased PSMA3-AS1 expression inhibits ESCC cell proliferation, migration, and invasion in vitro. (A) PSMA3-AS1 expression in ESCC EC9706 and EC109 cells was modified by shRNA transfection. (B) and (C) Cancer cell proliferation was measured using CCK-8 (B) and clone formation assays (C). (D) Cancer cell invasion was measured using transwell assay. (E) Cancer cell migration was measured by using wound healing assay. The data are represented as the mean ± SD, n=3. *p < 0.05, **p < 0.01, ***p < 0.001.
Figure 4PSMA3-AS1 functions as a ceRNA for miR-101 in ESCC cells. (A) Target sequences in PSMA3-AS1 predicted to bind to miR-101. (B) and (C) miR-101 expression after forced/decreased PSMA3-AS1 expression was detected in ESCC cells by RT-qPCR. (D) Wild-type or mutated PSMA3-AS1 was transfected into HEK-293T cells with miR-101 or a negative control. Luciferase activity was detected 48 h after transfection. (E) RT-qPCR showed PSMA3-AS1 levels in the streptavidin-captured fractions from KYSE-150 cell lysate after transfection with biotinylated miR-101 or negative control (NC). (F) RIP experiments were performed using an antibody against AGO2 in extracts from KYSE-150 cells. (G) AGO2 expression in ESCC KYSE150 and KYSE450 cells was modified by shRNA or cDNA transfection. (H) TPSMA3-AS1 expression after decreased AGO2 expression was detected in ESCC cells by RT-qPCR. The data are represented as the mean ± SD, n = 3. *p < 0.05; **p < 0.01.
Figure 5PSMA3-AS1 restores EZH2 expression by binding to miR-101. (A) Target sequences in the EZH2 3′-UTR predicted to bind to miR-101. (B) Wild-type or mutated 3′-UTRwas transfected into HEK-293T cells with miR-101 or a negative control. Luciferase activity was detected 48 h after transfection. (C) Wild-type or mutated 3′-UTRwas transfected into HEK-293T cells with miR-101 siRNA or a negative control. Luciferase activity was detected 48 h after transfection. (D) and (E) EZH2 expression was detected after PSMA3-AS1 expression upregulation in ESCC cells by RT-qPCR and western blotting. (F) and (G) EZH2 expression was detected after PSMA3-AS1 expression donwnregulation in ESCC cells by RT-qPCR and western blotting. (H) and (I) EZH2 expressions was detected after mutant PSMA3-AS1 expression upregulation in ESCC cells by RT-qPCR and western blotting. The data are represented as the mean ± SD, n = 3. *p < 0.05; **p < 0.01.
Figure 6PSMA3-AS1-induced esophageal cancer cells progression in an EZH2 dependent manner. (A) EZH2 expression in ESCC KYSE150 and KYSE450 cells was modified by CRISPR/Cas9 gene editing. (B) and (C) Cancer cell proliferation was measured using CCK-8 (B) and clone formation assays (C). (D) Cancer cell invasion was measured by transwell assay. (E) Cancer cell migration was measured by wound healing assay. (F) Representative ESCC cases in the tissue microarray were analyzed by immunohistochemical staining for EZH2. (G). A positive correlation between PSMA3-AS1 and the number of EZH2-positive cells was observed in ESCC tissues (R2 = 0.2163; P < 0.001). The data are represented as the mean ± SD, n=3. *p < 0.05, **p < 0.01, ***p < 0.001.