Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
J Clin Med Res ; 14(7): 273-281, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-35974809

RESUMO

Background: Heat shock protein family D (Hsp60) member 1 (HSPD1) has been reported as a potential survival-related biomarker in some cancers. However, the correlation between HSPD1 expression with prognosis and clinical features of esophageal cancer (EC) is poorly understood. Our research aimed to explore the clinical and prognostic significance of HSPD1 expression in EC patients. Methods: In our study, HSPD1 expression was detected by immunochemistry in 87 EC tissue specimens and 20 normal cancerous peripheral tissue specimens. Meanwhile, we also analyzed the expression of HSPD1 in EC by The Cancer Genome Atlas (TCGA) database. Then Chi-squared and Fisher's exact tests and Wilcoxon signed-rank test and logistic regression models were separately used to test the correlation between clinical characteristics and HSPD1 expression in our and TCGA cohort. Moreover, we evaluated the value of HSPD1 in prognosis by Kaplan-Meier curves and Cox analysis. Finally, gene set enrichment analysis (GSEA) was performed using the data accessed from TCGA. Results: The results showed that HSPD1 was overexpressed in EC, and the expression was related to histological type, histological grade, N classification, and clinical stage. Moreover, Kaplan-Meier curves and Cox analysis indicated that high expression of HSPD1 correlated with poor prognosis, and HSPD1 was an independent risk factor for EC. GSEA identified pathways involved in cysteine and methionine metabolism, spliceosome, selenoamino acid metabolism, mismatch repair, RNA degration, DNA replication, and cell cycle as differentially enriched in ECs with high HSPD1 expression. Conclusions: Our results suggest that HSPD1 is expressed at high levels in EC, and has potential to be used as a novel biomarker for the prognosis of patients with EC.

2.
Breast Cancer ; 27(1): 147-158, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31410735

RESUMO

OBJECTIVE: The miR-638 acted as a tumor suppressor and E2F transcription factor 2 (E2F2) was a critical regulator in some cancers, while the role of them on stemness of breast cancer stem cells (BCSCs) was rarely detailed. Hence, we focused on exploring the effects of miR-638 and E2F2 on BCSCs stemness. METHODS: The proportion of CD24 -/CD44 + cells of BCSCs was detected by flow cytometry. The target relationship of miR-638 and E2F2 was explored using luciferase assays. The ability of self-renewal, proliferation, and invasion of BCSCs were determined by Mammosphere forming, Cell Counting Kit-8 (CCK-8), colony formation, and transwell assays. Xenograft tumor was established to detect the influence of miR-638 on tumor growth. RESULTS: miR-638 was down-regulated, while E2F2 was elevated in breast cancer. The E2F2 level was negatively correlated with miR-638. The BCSCs represented higher proportion of CD24 -/CD44 + cells and levels of sex determining region Y-box 2 (SOX2) and octamer-binding transcription factor 4 (OCT4). The miR-638 was down-regulated and E2F2 was increased in BCSCs. MiR-638 could target to E2F2 and decreased the level of E2F2 in BCSCs cells. Overexpression of miR-638 decreased the proportion of CD24 -/CD44 + cells and the levels of SOX2 and OCT4 by inhibiting E2F2. The overexpression of miR-638 also inhibited the abilities of self-renewal, proliferation, and invasion of BCSCs by inhibiting E2F2. The miR-638 overexpression inhibited the breast tumor growth. CONCLUSION: MiR-638 represses the characteristics and behaviors of BCSCs by targeting E2F2. MiR-638 may be a potential target for breast cancer therapy.


Assuntos
Neoplasias da Mama/genética , Fator de Transcrição E2F2/genética , MicroRNAs/genética , Células-Tronco Neoplásicas/patologia , Animais , Sítios de Ligação , Neoplasias da Mama/metabolismo , Neoplasias da Mama/patologia , Proliferação de Células , Autorrenovação Celular , Fator de Transcrição E2F2/metabolismo , Feminino , Regulação Neoplásica da Expressão Gênica , Humanos , Receptores de Hialuronatos/metabolismo , Células MCF-7 , Camundongos , Camundongos Nus , MicroRNAs/metabolismo , Transplante de Neoplasias , Células-Tronco Neoplásicas/metabolismo , RNA Interferente Pequeno
3.
World J Clin Cases ; 7(3): 291-299, 2019 Feb 06.
Artigo em Inglês | MEDLINE | ID: mdl-30746370

RESUMO

BACKGROUND: The main clinical treatment for esophageal cancer is surgery. Since traditional open esophageal cancer resection has the disadvantages of large trauma, long recovery period, and high postoperative complication rate, its clinical application is gradually reduced. The current report of minimally invasive Ivor-Lewis esophagectomy (MIILE) is increasing. However, researchers found that patients with MIILE had a higher incidence of early delayed gastric emptying (DGE). AIM: To investigate the influencing factors of postoperative early DGE after MIILE. METHODS: A total of 156 patients diagnosed with esophageal cancer at Deyang People's Hospital were enrolled. According to the criteria of DGE, patients were assigned to a DGE group (n = 49) and a control group (n = 107). The differences between the DGE group and the control group were compared. Multivariate logistic regression analysis was used to further determine the influencing factors of postoperative early DGE. The receiver operating characteristic (ROC) curve was used to assess potential factors in predicting postoperative early DGE. RESULTS: Age, intraoperative blood loss, chest drainage time, portion of anxiety score ≥ 45 points, analgesia pump use, postoperative to enteral nutrition interval, and postoperative fluid volume in the DGE group were higher than those in the control group. Perioperative albumin level in the DGE group was lower than that in the control group (P < 0.05). Age, anxiety score, perioperative albumin level, and postoperative fluid volume were independent factors influencing postoperative early DGE, and the differences were statistically significant (P < 0.05). The ROC curve analysis revealed that the area under the curve (AUC) for anxiety score was 0.720. The optimum cut-off value was 39, and the sensitivity and specificity were 80.37% and 65.31%, respectively. The AUC for postoperative fluid volume were 0.774. The optimal cut-off value was 1191.86 mL, and the sensitivity and specificity were 65.3% and 77.6%, respectively. The AUC for perioperative albumin level was 0.758. The optimum cut-off value was 26.75 g/L, and the sensitivity and specificity were 97.2% and 46.9%, respectively. CONCLUSION: Advanced age, postoperative anxiety, perioperative albumin level, and postoperative fluid volume can increase the incidence of postoperative early DGE.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...