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1.
J Gene Med ; 23(1): e3285, 2021 01.
Artigo em Inglês | MEDLINE | ID: mdl-33037865

RESUMO

BACKGROUND: Long non-coding RNAs (lncRNAs) have drawn growing attention because of the role which they play in various diseases, including colorectal cancer (CRC). However, the potential functions of lncRNA MCF2L antisense RNA 1 (MCF2L-AS1) in tumors remained largely unclear. The present study aimed to explore the clinical significance and the biological effects of lncRNA MCF2L antisense RNA 1 (MCF2L-AS1) in CRC. METHODS: Reverse transcriptase-polymerase chain reaction was performed to determine the expression of MCF2L-AS1 in CRC. The clinical significance of MCF2L-AS1 in CRC patients was analyzed statistically. In vitro experiments were performed to determine the effects of MCF2L-AS1 on the cellular progression of CRC cells. Bioinformatic assays, luciferase reporter assays and RNA-pulldown assays were performed to predict for potential microRNAs that can interact with MCF2L-AS1 and mRNAs that can interact with miR-874-3p. RESULTS: We identified a novel CRC-related lncRNA, MCF2L-AS1, which is distinctly highly expressed in CRC. Its diagnostic value for CRC patients was also demonstrated. Clinical assays revealed that high MCF2L-AS1 expression is associated with advanced stages, positive metastasis and the poor prognosis of CRC patients. Multivariate assays confirmed that MCF2L-AS1 expression is an independent poor prognostic factor for both 5-year overall survival and 5-year disease-free survival of CRC patients. Functionally, we confirmed that knockdown of MCF2L-AS1 distinctly suppresses the proliferation, migration and invasion of CRC cells and also promotes apoptosis. Mechanistic investigation showed that MCF2L-AS1 functions as an endogenous sponge for miR-874-3p to increase the expression of CCNE1. CONCLUSIONS: Our findings identified a novel CRC-related lncRNA, MCF2L-AS1, which may be used as a potential diagnostic and prognostic biomarker for CRC patients. In addition, the newly identified MCF2L-AS1/miR-874-3p/CCNE1 axis can modulate the initiation and progression of CRC.


Assuntos
Neoplasias Colorretais/genética , Neoplasias Colorretais/patologia , Ciclina E/genética , MicroRNAs/genética , Proteínas Oncogênicas/genética , RNA Longo não Codificante/genética , Regiões 3' não Traduzidas , Adulto , Idoso , Apoptose/genética , Linhagem Celular Tumoral , Sobrevivência Celular/genética , Feminino , Regulação Neoplásica da Expressão Gênica , Humanos , Masculino , Pessoa de Meia-Idade , Modelos Biológicos , Interferência de RNA , Curva ROC
2.
Langenbecks Arch Surg ; 405(7): 1025-1030, 2020 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-32870334

RESUMO

PURPOSE: Enhanced Recovery after Surgery has been proven effective for patients with gastrointestinal cancer. But radical enhanced recovery could also lead to adverse clinical outcomes. Compared with reports on the estimation of successful implementation of enhanced recovery, studies on risk factors of enhanced recovery failure are still lacking. METHODS: A retrospective analysis was carried out on 102 patients in ERAS who underwent elective colon cancer surgery. This study included 102 patients with colon cancer between 2015 and 2019, defining enhanced recovery failure as postoperative length of stay over 10 days, stay in ICU over 24 h after surgery, reoperation, death, or unplanned readmission within 30 days after surgery. Univariate and multivariate analyses were performed to explore potential risk factors of failure. RESULTS: Aged ≥ 75, open operation, number of drainage tube over 1, re-urethral catheterization, and Clavien-Dindo grade over 2 were associated with ERAS failure, according to univariate analysis. Multivariate analysis showed that age ≥ 75 [OR 7.231; P = 0.009]; open operation (OR 3.599; P = 0.021); and number of drainage tube over 1 (OR 3.202; P = 0.020) were independent risk factors for ERAS failure. CONCLUSIONS: We found age ≥ 75, open operation, and number of drainage tube over 1 are independent risk factors associated with ERAS failure after colon cancer surgery.


Assuntos
Neoplasias do Colo , Recuperação Pós-Cirúrgica Melhorada , Neoplasias do Colo/cirurgia , Humanos , Tempo de Internação , Complicações Pós-Operatórias/epidemiologia , Complicações Pós-Operatórias/etiologia , Recuperação de Função Fisiológica , Estudos Retrospectivos
3.
Cancer Cell Int ; 20: 346, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32742193

RESUMO

BACKGROUND: Colorectal cancer (CRC) is one of the most common digestive malignant tumors in the world. Ubiquitin-specific peptidase 18 (USP18) plays a regulatory role in tumorigenesis, and abnormal expression of Snail1 is also believed to be related to tumorigenesis. However, whether USP18 could affect colorectal cancer through Snail1 remains unclear. This study was designed to investigate the role of USP18 in colorectal cancer. METHODS: USP18 protein and mRNA abundance in clinical tissues and five cell lines were analyzed with quantitative real-time PCR (qRT-PCR) and western blot. USP18 overexpression-treated DLD1 cells and USP18 knockdown-treated SW480 cells were used to study cell proliferation, migration, invasion, and the expression of epithelial-mesenchymal transformation (EMT) biomarkers. Moreover, ubiquitination-related Snail1 degradation was detected with qRT-PCR and western blot. The relationships between USP18 and Snail1 were investigated with western blot, co-immunoprecipitation, migration, and invasion. RESULTS: USP18 was highly expressed in colorectal cancer tissues. Overexpression of USP18 could promote proliferation, colony formation, migration, and invasion of colorectal cancer cells. Overexpression of USP18 effectively promoted cell survival after treatment with three different chemotherapy drugs. Moreover, USP18 could regulate Snail1 degradation through ubiquitination pathway. Furthermore, we demonstrated that Snail1 could effectively reverse the influence of USP18 on cell proliferation, migration, invasion, and EMT of CRC cells. CONCLUSION: USP18 could promote the proliferation, migration, and invasion of colorectal cancer by deubiquitinating and stabilizing the Snail1 protein in colorectal cancer.

4.
Obes Surg ; 30(6): 2186-2198, 2020 06.
Artigo em Inglês | MEDLINE | ID: mdl-32060852

RESUMO

BACKGROUND: Single-incision laparoscopic sleeve gastrectomy (SILSG) has been proposed as an alternative to conventional laparoscopic sleeve gastrectomy (CLSG) in obese patients. This study aims to compare the surgical outcomes of these two techniques. METHODS: A meta-analysis of existing literature obtained through a systematic literature search in the PubMed, EMBASE, and Cochrane Library CENTRAL databases from 2009 to 2019 was conducted. RESULTS: Eleven articles including 1168 patients were analyzed. Patients in the SILSG group reported greater satisfaction with cosmetic scar outcomes than those in the CLSG group (SMD = 2.47, 95% CI = 1.10 to 3.83, P = 0.00). There was no significant difference between the SILSG group and the CLSG group regarding operative time, intraoperative estimated blood loss, conversion rate, intraoperative complications, length of hospital stay, postoperative analgesia, postoperative complications, excess weight loss (EWL), and improvements in comorbidities (P > 0.05). CONCLUSIONS: Compared to CLSG, SILSG resulted in improved cosmetic satisfaction and showed no disadvantages in terms of surgical outcomes; thus, SILSG can serve as an alternative to CLSG for obese patients. Nonetheless, high-quality randomized controlled trials (RCTs) with large study populations and long follow-up periods are needed.


Assuntos
Laparoscopia , Obesidade Mórbida , Gastrectomia , Humanos , Obesidade Mórbida/cirurgia , Duração da Cirurgia , Resultado do Tratamento , Redução de Peso
5.
IEEE Trans Neural Netw Learn Syst ; 29(6): 2309-2322, 2018 06.
Artigo em Inglês | MEDLINE | ID: mdl-28436896

RESUMO

Although hash function learning algorithms have achieved great success in recent years, most existing hash models are off-line, which are not suitable for processing sequential or online data. To address this problem, this paper proposes an online hash model to accommodate data coming in stream for online learning. Specifically, a new loss function is proposed to measure the similarity loss between a pair of data samples in hamming space. Then, a structured hash model is derived and optimized in a passive-aggressive way. Theoretical analysis on the upper bound of the cumulative loss for the proposed online hash model is provided. Furthermore, we extend our online hashing (OH) from a single model to a multimodel OH that trains multiple models so as to retain diverse OH models in order to avoid biased update. The competitive efficiency and effectiveness of the proposed online hash models are verified through extensive experiments on several large-scale data sets as compared with related hashing methods.

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