RESUMO
BACKGROUND: Atrial fibrillation (AF) is a common complication after radical surgery of esophageal cancer. The aim of this study was to explore AF risk factors after radical surgery of esophageal carcinoma. METHOD: The data of 335 patients with esophageal cancer who were admitted in our hospital from January 2014 to August 2016 for the first time were retrospectively analyzed. We retrieved the papers in some data banks using the search terms including English and Chinese search terms, and obtained 13 factors which were mentioned in more than 6 papers. The 13 factors including age, gender, history of smoking, history of hypertension, history of peripheral vascular disease, history of cardiac stents or angina pectoris, preoperative pulmonary infection, preoperative brain natriuretic peptide (BNP) level, preoperative left ventricular diastolic dysfunction, operative method, lesion location, intraoperative blood transfusion, adhesion between lymph nodes and pericardium, underwent univariate and multivariate analyses. RESULTS: Of the 335 patients with esophageal cancer, 48 had AF within one week after operation. Univariate analysis indicated that the age (OR: 4.89; CI: 2.53-9.47, P: 0.000), gender (OR: 2.26; CI: 1.17-4.37, P: 0.013), history of peripheral vascular disease (OR: 2.29; CI: 1.06-4.92, P: 0.030), history of cardiac stents or angina pectoris (OR: 27.30; CI: 12.44-59.91, P: 0.000), preoperative BNP level (OR: 27.13; CI: 10.97-67.06, P: 0.000), preoperative left ventricular diastolic dysfunction (OR: 2.22; CI: 1.19-4.14, P: 0.012), operative method (OR: 2.09; CI: 1.002-4.380, P: 0.046), intraoperative blood transfusion (OR: 20.24; CI: 8.39-48.82, P: 0.000), and adhesion between lymph nodes and pericardium were risk factors (OR: 2.05; CI: 1.08-3.87, P: 0.024). Furthermore, multivariate analysis displayed that advanced age (OR: 5.044; CI: 1.748-14.554, P: 0.003), male (OR: 6.161; CI: 2.143-17.715, P: 0.001), history of cardiac stents or angina pectoris (OR: 48.813; CI: 13.674-174.246, P: 0.000), preoperative BNP > 100 (OR: 41.515; CI: 9.380-183.732, P: 0.000), open surgery (OR: 3.357; CI: 1.026-10.983, P: 0.045), intraoperative blood transfusion (OR: 58.404; CI: 10.777-316.509, P: 0.000), and adhesion between lymph nodes and pericardium (OR: 3.954; CI: 1.364-11.459, P: 0.011) were risk factors which could increase the incidence of postoperative AF. CONCLUSION: We should pay attention to the above risk factors in order to reduce the incidence of postoperative AF.
Assuntos
Fibrilação Atrial/etiologia , Procedimentos Cirúrgicos do Sistema Digestório/efeitos adversos , Neoplasias Esofágicas/cirurgia , Complicações Pós-Operatórias/etiologia , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Fatores de RiscoRESUMO
The competing endogenous RNA (ceRNA) network is crucial for the development and progression of tumors, including nonsmall cell lung cancer (NSCLC). However, what type of ceRNA network regulates NSCLC has not been clarified. The present study aimed to elucidate the long noncoding RNA (lncRNA)/microRNA (miRNA)/mRNA ceRNA network in NSCLC, particularly for the significance of lncRNAs in NSCLC. NSCLCspecific differentially expressed lncRNAs, miRNAs and mRNAs in the Cancer Genome Atlas (TCGA) were analyzed and their relationship was analyzed by a ceRNA network. Their potential functions of differentially expressed mRNAs were analyzed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Furthermore, the expression levels of four selected lncRNAs in TCGA were determined and their associated survival of patients was examined. In addition, the expression profiles of these four lncRNAs in 48 NSCLC specimens and cell lines, their cellular distribution and associated clinical parameters were examined. We successfully constructed a ceRNA network, including 113 lncRNAs, 12 miRNAs and 36 mRNAs differentially expressed between NSCLC and nontumor tissues. LINC00525, MED4AS1, STEAP2AS1 and SYNPRAS1 lncRNAs were selected and validated for their association with the survival of NSCLC patients. The expression of these lncRNAs was upregulated in 48 NSCLC tissues and was varying in NSCLC cells. While LINC00525 was mainly expressed in the cytoplasm, MED4AS1 was in both the nucleus and cytoplasm of A549 cells. In addition, the expression of LINC00525 was significantly associated with smoking history (P<0.05); MED4AS1 was significantly associated with women, poor differentiation and lymph node metastasis (P<0.05); STEAP2AS1 was significantly associated with women (P<0.01); and SYNPRAS1 was significantly associated with women and adenocarcinoma (P<0.05). These lncRNAs may be valuable biomarkers for prognosis of NSCLC and the ceRNA network may provide new insights in the pathogenesis of NSCLC.
Assuntos
Biomarcadores Tumorais/genética , Carcinoma Pulmonar de Células não Pequenas/genética , Regulação Neoplásica da Expressão Gênica , Redes Reguladoras de Genes , MicroRNAs/genética , RNA Longo não Codificante/genética , RNA Mensageiro/genética , Adenocarcinoma de Pulmão/genética , Adenocarcinoma de Pulmão/secundário , Idoso , Idoso de 80 Anos ou mais , Carcinoma Pulmonar de Células não Pequenas/patologia , Carcinoma de Células Escamosas/genética , Carcinoma de Células Escamosas/secundário , Feminino , Seguimentos , Ontologia Genética , Humanos , Neoplasias Pulmonares/genética , Neoplasias Pulmonares/patologia , Metástase Linfática , Masculino , Pessoa de Meia-Idade , Prognóstico , Taxa de Sobrevida , TranscriptomaRESUMO
The myocardial infarction associated transcript (MIAT), a long non-coding RNA (lncRNA), was originally identified as a candidate gene for myocardial infarction, and was recently shown to participate in the progression of cancer and the process of metastasis. However, the biological role of MIAT and the underlying mechanisms that mediate its role in non-small-cell lung cancer (NSCLC) remain unclear. Here, we have shown that the expression of MIAT in NSCLC tissues was upregulated. Knockdown of MIAT substantially inhibited the invasive ability of NSCLC cells. Moreover, the knockdown of MIAT significantly downregulated the expression of the zinc finger E-box binding homeobox 1 (ZEB1), that was upregulated in NSCLC and that promoted cell invasion. Rather than by direct interactions, we found that MIAT indirectly regulated ZEB1 expression through sponging and suppressing microRNA (miR)-150, which represses ZEB1 and interacts with MIAT in a sequence-specific manner. Thus, MIAT may inhibit ZEB1 expression and promote cell invasion of NSCLC cells via the miR-150/ZEB1 pathway. Taken together, our findings suggested that MIAT plays an oncogenic role in NSCLC through the ZEB1 signaling pathway by sponging miR-150, and MIAT may therefore serve as a valuable prognostic biomarker and therapeutic target for NSCLC.
Assuntos
Biomarcadores Tumorais/metabolismo , Carcinoma Pulmonar de Células não Pequenas/patologia , Neoplasias Pulmonares/patologia , MicroRNAs/metabolismo , RNA Longo não Codificante/metabolismo , Homeobox 1 de Ligação a E-box em Dedo de Zinco/metabolismo , Biomarcadores Tumorais/genética , Carcinoma Pulmonar de Células não Pequenas/genética , Proliferação de Células , Regulação para Baixo , Regulação Neoplásica da Expressão Gênica , Células HEK293 , Humanos , Neoplasias Pulmonares/genética , Invasividade Neoplásica , Metástase Neoplásica , RNA Longo não Codificante/genética , Regulação para Cima , Homeobox 1 de Ligação a E-box em Dedo de Zinco/genéticaRESUMO
The long non-coding RNAs (lncRNAs) have been recently shown to participate in the progression of a variety of cancers. However, the biological role of lncRNAs and the underlying mechanisms in Lung squamous cell carcinoma (SCC) or lung adenocarcinoma (AD) remain unclear. Herein, we investigated expression of 5 lncRNAS (SNHG1, NCBP2-AS2, LINC01206, SOX2-OT and LINC01419) in SCC and AD tissues. SNHG1 was one of over-expressed lncRNAs in SCC tissues. Knockdown of SNHG1 significantly inhibited the proliferation, metastasis, invasive ability and induced apoptosis of SCC cells. Moreover, SNHG1 affected the expression of zinc finger E-box binding homeobox 1(ZEB1), which has also been observed to be up-regulated in SCC and to promote cell metastasis and invasion. Rather than direct interaction, SNHG1 regulated ZEB1expression by suppressing the activity of p63 TA isoform (TAp63), which is a repressor of ZEB1 and physically associates with SNHG1. Furthermore, SNHG1 promoted ZEB1 expression and promoted cell proliferation, metastasis, invasive but inhibited apoptosis of SCC cells via the TAp63/ZEB1 pathway. Taken together, our findings suggested that SNHG1 might play an oncogenic role in SCC through ZEB1 signaling pathway by inhibiting TAp63 and might serve as a valuable prognostic biomarker and therapeutic target for SCC patients.