scholarly journals Analysis of Long Noncoding RNA ZNF667-AS1 as a Potential Biomarker for Diagnosis and Prognosis of Glioma Patients

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Qin Yuan ◽  
Chao Gao ◽  
Xiao-dong Lai ◽  
Liang-yi Chen ◽  
Tian-bao Lai
Keyword(s):  
Overall Survival ◽  
Disease Free Survival ◽  
Cell Counting ◽  
Normal Brain ◽  
Who Grade ◽  
Tissue Samples ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Potential Biomarker ◽  
Disease Free

Objective. Long noncoding RNAs (lncRNAs) have been strongly associated with various types of cancer. The present study aimed at exploring the diagnostic and prognostic value of lncRNA Zinc finger protein 667-antisense RNA 1 (ZNF667-AS1) in glioma patients. Patients and Methods. The expressions of ZNF667-AS1 were detected in 155 glioma tissues and matched normal brain tissue samples by qRT-PCR. The receiver operating characteristic (ROC) curve was performed to estimate the diagnostic value of ZNF667-AS1. The association between the ZNF667-AS1 expression and clinicopathological characteristics was analyzed by the chi-square test. The Kaplan-Meier method was performed to determine the influence of the ZNF667-AS1 expression on the overall survival and disease-free survival of glioma patients. The Cox regression analysis was used to evaluate the effect of independent prognostic factors on survival outcome. Cell proliferation was measured by the respective cell counting Kit-8 (CCK-8) assays. Results. We observed that ZNF667-AS1 was significantly upregulated in glioma tissues compared to normal tissue samples ( p < 0.01 ). Higher levels of ZNF667-AS1 were positively associated with the WHO grade ( p = 0.018 ) and KPS score ( p = 0.008 ). ROC assays revealed that the high ZNF667-AS1 expression had an AUC value of 0.8541 (95% CI: 0.8148 to 0.8934) for glioma. Survival data revealed that glioma patients in the high ZNF667-AS1 expression group had significantly shorter 5-year overall survival ( p = 0.0026 ) and disease-free survival ( p = 0.0005 ) time than those in the low ZNF667-AS1 expression group. Moreover, multivariate analyses confirmed that the ZNF667-AS1 expression was an independent predictor of the overall survival and disease-free survival for glioma patients. Functionally, we found that knockdown of ZNF667-AS1 suppressed the proliferation of glioma cells. Conclusions. Our results suggest that ZNF667-AS1 could be used as a potential diagnostic and prognostic biomarker in glioma.

scholarly journals A-kinase interacting protein 1, a potential biomarker associated with advanced tumor features and CXCL1/2 in prostate cancer

2020 ◽  
Vol 35 (2) ◽  
pp. 74-81
Author(s):  
Danlan Wang ◽  
Yuanfang Luo ◽  
Yonglian Guo ◽  
Guohao Li ◽  
Fan Li
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Disease Free Survival ◽  
High Expression ◽  
Interacting Protein ◽  
Free Survival ◽  
T Stage ◽  
Potential Biomarker ◽  
Disease Free ◽  
Cxcl1 Expression

Objective: This study aimed to investigate the correlation of A-kinase interacting protein 1 (AKIP1) with chemokine (C-X-C motif) ligand 1 (CXCL1) and CXCL2, as well as their associations with clinical characteristics and prognosis in prostate cancer patients. Methods: A total of 248 eligible prostate cancer patients who underwent surgery were consecutively recruited, and tumor tissues were collected during the surgery. AKIP1, CXCL1, and CXCL2 expression in tumor tissues were assessed by immunohistochemistry. Disease-free survival and overall survival were recorded, and the median follow-up time was 27 months. Results: The proportion of patients with AKIP1, CXCL1, and CXCL2 high expression was 56.5%, 63.7%, and 56.9%, respectively. Additionally, AKIP1 expression positively correlated with CXCL1 expression ( P<0.001) and CXCL2 expression ( P<0.001), and CXCL1 expression was positively associated with CXCL2 expression ( P<0.001). Furthermore, AKIP1 expression positively correlated with pathological T stage ( P<0.001) and pathological N stage ( P=0.003). CXCL1 expression was positively associated with pathological T stage ( P<0.001) and pathological N stage ( P<0.001) as well. However, the CXCL2 expression only positively correlated with pathological T stage ( P=0.002). Also, AKIP1 high expression correlated with worse disease-free survival ( P=0.049) and OS ( P=0.013), and CXCL1 high expression was associated with unfavorable disease-free survival ( P=0.023) but not overall survival ( P=0.052). CXCL2 expression was not correlated with disease-free survival ( P=0.083) or overall survival ( P=0.065). Multivariate Cox’s regression disclosed that AKIP1 high expression independently predicted worse overall survival ( P=0.009). Conclusion: AKIP1 positively associates with CXCL1/2 and is a potential biomarker for disease monitoring as well as prognosis in prostate cancer.

scholarly journals Indication of Liver Transplantation for Hepatocellular Carcinoma Should Be Reconsidered in Case of Microvascular Invasion and Multilocular Tumor Occurrence

2021 ◽  
Vol 10 (6) ◽  
pp. 1155
Author(s):  
Jan-Paul Gundlach ◽  
Stephan Schmidt ◽  
Alexander Bernsmeier ◽  
Rainer Günther ◽  
Victor Kataev ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Overall Survival ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Microvascular Invasion ◽  
Simultaneous Occurrence ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Disease Free

Liver transplantation (LT) is routinely performed for hepatocellular carcinoma (HCC) in cirrhosis without major vascular invasion. Although the adverse influence of microvascular invasion is recognized, its occurrence does not contraindicate LT. We retrospectively analyzed in our LT cohort the significance of microvascular invasion on survival and demonstrate bridging procedures. At our hospital, 346 patients were diagnosed with HCC, 171 patients were evaluated for LT, and 153 were listed at Eurotransplant during a period of 11 years. Among these, 112 patients received LT and were included in this study. Overall survival after 1, 3 and 5 years was 86.3%, 73.9%, and 67.9%, respectively. Microvascular invasion led to significantly reduced overall (p = 0.030) and disease-free survival (p = 0.002). Five-year disease-free survival with microvascular invasion was 10.5%. Multilocular tumor occurrence with simultaneous microvascular invasion revealed the worst prognosis. In our LT cohort, predominant bridging treatment was transarterial chemoembolization (TACE) and the number of TACE significantly correlated with poorer overall survival after LT (p = 0.028), which was confirmed in multiple Cox regression analysis for overall and disease-free survival (p = 0.015 and p = 0.011). Microvascular tumor invasion is significantly associated with reduced prognosis after LT, which is aggravated by simultaneous occurrence of multiple lesions. Therefore, indication strategies for LT should be reconsidered.

scholarly journals Prognostic Analysis of Histopathological Images Using Pre-Trained Convolutional Neural Networks

2019 ◽  
Author(s):  
Liangqun Lu ◽  
Bernie Daigle
Keyword(s):  
Neural Networks ◽  
Overall Survival ◽  
Convolutional Neural Networks ◽  
Disease Free Survival ◽  
Image Features ◽  
Biological Pathways ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Histopathological Images ◽  
Disease Free

AbstractBackgroundHistopathological images contain rich phenotypic descriptions of the molecular processes underlying disease progression. Convolutional neural networks (CNNs), a state-of-the-art image analysis technique in computer vision, automatically learns representative features from such images which can be useful for disease diagnosis, prognosis, and subtyping. Despite hepatocellular carcinoma (HCC) being the sixth most common type of primary liver malignancy with a high mortality rate, little previous work has made use of CNN models to delineate the importance of histopathological images in diagnosis and clinical survival of HCC.ResultsWe applied three pre-trained CNN models – VGG 16, Inception V3, and ResNet 50 – to extract features from HCC histopathological images. The visualization and classification showed clear separation between cancer and normal samples using image features. In a univariate Cox regression analysis, 21.4% and 16% of image features on average were significantly associated with overall survival and disease-free survival, respectively. We also observed significant correlations between these features and integrated biological pathways derived from gene expression and copy number variation. Using an elastic net regularized CoxPH model of overall survival, we obtained a concordance index (C-index) of 0.789 and a significant log-rank test (p = 7.6E-18) after applying Inception image features. We also performed unsupervised classification to identify HCC subgroups from image features. The optimal two subgroups discovered using Inception image features were significantly associated with both overall (C-index = 0.628 and p = 7.39E-07) and disease-free survival (C-index =0.558 and p = 0.012). Our results suggest the feasibility of feature extraction using pre-trained models, as well as the utility of the resulting features to build an accurate prognosis model of HCC and highlight significant correlations with clinical survival and biological pathways.ConclusionsThe image features extracted from HCC histopathological images using the pre-trained CNN models VGG 16, Inception V3 and ResNet 50 can accurately distinguish normal and cancer samples. Furthermore, these image features are significantly correlated with relevant biological outcomes.

scholarly journals COMPARISON IMMUNOCHEMOTHERAPY AND CHEMOTHERAPY EFFICASY IN FOLLICULAR LYMPHOMA

2017 ◽  
Vol 16 (1) ◽  
pp. 24-31
Author(s):  
N. A. Falaleeva
Keyword(s):  
Overall Survival ◽  
Regression Analysis ◽  
Follicular Lymphoma ◽  
Disease Free Survival ◽  
Treatment Results ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Multifactorial Analysis ◽  
Hodgkin's Lymphomas ◽  
Disease Free

Introduction. Immunochemotherapy is an obligate component in treatment of follicular lymphoma (FL). Monoclonal antibodies to CD20 antigen is the most well studied and frequently used drug. Chemotherapy department of Russian Cancer Research Center has a very good experience in FL treatment using rituximab. In the article we characterize and compare two methods of treatment of FL - polychemotherapy vs chemotherapy. Materials and methods. 286 patients with FL were included into analysis. In 125 (44 %) from 286 patients polychemotherapy was used as a first line of FL treatment. In 161 (56 %) patients rituximab was added to chemothrepy regimens. Analysis of survival and disease-free survival was done according to Kaplan-Meier. Analysis of treatment results has been done according to international criteria of treatment response in non-Hodgkin’s lymphomas. In statistical calculations SPSS program for Windows was used. Results. Responses to treatment were significantly better in immunochemotherapy group of patients, p = 0,002. In unifactorial analysis rituximab significantly improved both overall and disease-free sirvival. Taking in mind that groups of patients receiving chemotherapy and immunochemotherapy were not completely identical we performed multifactorial analysis, Coxs regression analysis. In that case (Cox regression analysis) significant advantages of immunochemotherapy were noted in improving disease-free survival in FL patients (р = 0,000); significant influence on overall survival was not noted (p = 0,44). Addition of rituximab did not improved overall and disease-free survival in a group (n = 88; 31 %) of refractory and early relapsing FL. Conclusion. Addition of rituximab to polychemotherapy in FL patients significantly improved treatment results. In multifactorial analysis immunochemotherapy was the most important prognostic factors of favourable prognosis of disease-free survival. In that analysis rituximab did not influenced on overall survival and on survival in refractory and early relapsing FL.

scholarly journals Bioinformatics Analysis of the Expression of ATP binding cassette subfamily C member 3 (ABCC3) in Human Glioma

Open Medicine ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 107-113 ◽  
Author(s):  
Zelin Sun ◽  
Xiaoyuan Qi ◽  
Yan Zhang
Keyword(s):  
Gene Expression ◽  
Overall Survival ◽  
Disease Free Survival ◽  
Expression Level ◽  
Normal Brain ◽  
Human Glioma ◽  
Ppi Network ◽  
Free Survival ◽  
Disease Free ◽  
Low Expression

AbstractObjectiveTo investigate the expression of the ABCC3 gene in human glioma and its correlation with the patient’s prognosis.MethodsThe cancer genome atlas (TCGA) database was used to analyze the differential expression of the ABCC3 gene in human glioma. The STRING database was used to construct the protein-protein interaction (PPI) network of the ABCC3 gene coding protein. The co-expression genes relevant to the ABCC3 gene were analyzed by the Pearson correlation test. A log-rank test was used to analyze the difference of overall survival (OS) and disease-free survival (DFS) between the high and low ABCC3 gene expression groups.ResultsThe expression level of the ABCC3 gene in glioma tissues was lower than that of corresponding normal brain tissues. The PPI network contains 51 nodes with the average node degree of 13.3 and the local clustering coefficient of 0.72 which indicated that the PPI enrichment was significant (p<0.001). Ten hub genes (ABCC3,NR1I2,NR1H4,-CYP7A1,SLC10A1,CYP3A4,UGT1A1,UGT1A8,UGT1A6 and ALB) were identified by the cytoscape software. The KEGG analysis was enriched in drug metabolism - cytochrome P450 and PPAR signaling pathway. CFI gene expression level was positive correlated with the ABCC3 expression level (r=0.71, p<0.05). And the CNRIP1 gene expressed was negative correlated with ABCC3 expression (r=-0.43, p<0.05). The overall survival (HR=2.8, P<0.05) and disease-free survival rates (HR=2.0, P<0.05) of patients with ABCC3 low expression glioma were significantly higher than those of patients with high expression of ABCC3. Conclusion The expression level of the ABCC3 gene in glioma was decreased compared to normal brain tissue. The overall survival and disease-free survival of in the ABCC3 low-expression group was significant decreased.

scholarly journals Prognostic factors and curative radiotherapy results in patients with octogenarian bladder cancer

2020 ◽  
Vol 7 (6) ◽  
pp. 515-519
Author(s):  
Berrin Inanc ◽  
Ozlem Mermut
Keyword(s):  
Overall Survival ◽  
Bladder Cancer ◽  
Prognostic Factors ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Curative Radiotherapy ◽  
Co Morbidity ◽  
Disease Free

Objective: In this retrospective research, we aimed to evaluate the survival outcomes and survival-related prognostic factors in octogenarian (>80 years) bladder cancer patients. Material and Methods: A total of 17 patients receiving radiotherapy or chemoradiotherapy treatment for bladder cancer in octogenarian patients were included in the study. Results: In total 17 patients, 13 patients (76.5%) had Stage II, 2 patients (11.8.%) had Stage III and stage IVa. Median follow-up was 23 months (6-72 months).While median overall survival (OS) was 14 months, median disease-free survival (DFS) was 13 months.Overall survival and disease-free survival rates for 6 months and 1st years were 70.6%, 35% and 64.3%, 24.1%, respectively. No prognostic factors were found in the univariate Cox regression analysis for overall survival. In multivariate Cox regression analysis, we found stage (hazard ratio [HR] = 3.009. 95% confidence interval [CI] = 1.003–9.029, p = 0.049), radiotherapy doses (HR = 241,226, 95% CI = 5.421–107.679, p = 0.005) and Charlson co-morbidity index (HR = 0.161 95% CI = 0.035–0.748, p = 0.020) as independent prognostic factors for overall survival. Conlusion: Curative radiotherapy can be used for older ( >80 years) patients with invasive bladder cancer. Nonetheless, the co-morbidity disease  should be a consideration before radiotherapy and chemoradiotherapy administration

scholarly journals Identification and Validation of PIK3CA as a Marker Associated with Prognosis and Immune Infiltration in Renal Clear Cell Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Ya Li ◽  
Chong Wang ◽  
Yang Gao ◽  
Liang Zhou
Keyword(s):  
Overall Survival ◽  
Cell Carcinoma ◽  
Cox Regression ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Disease Free Survival ◽  
Renal Clear Cell Carcinoma ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
Potential Biomarker

Background. Kidney renal clear cell carcinoma (KIRC) is the most prevalent renal malignancy. The therapeutic strategies for advanced KIRC are very few, with only sunitinib being widely approved. Mutations in the PIK3CA gene can affect tumor cell proliferation, metastasis, and patients’ survival. Methods. Bioinformatics analysis was performed to explore the expression and clinical significance of PIK3CA in KIRC. Moreover, qRT-PCR was conducted to verify the result. Results. Subgroup analyses of KIRC tissue based on gender, tumor grade, and cancer stage indicated downregulation of PIK3CA mRNA expression. The KIRC patients with high PIK3CA expression indicated a better overall survival, progression-free survival, and disease-free survival. A predictive nomogram was constructed and demonstrated that the calibration plots for the 3-year and 5-year OS rates were predicted relatively well compared with an ideal model in the TCGA KIRC cohort. The validation study revealed that downregulation of PIK3CA in KIRC tissues and low PIK3CA expression had a poor overall survival with an AUC of 0.775 in the ROC curve. Moreover, Cox regression analysis revealed that PIK3CA expression and clinical stage were independent factors affecting the prognosis of KIRC patients. PIK3CA expression was found to be significantly associated with the abundance of immune cells and immune biomarker sets. PIK3CA and associated genes were found to be mainly associated with immune response and the JAK-STAT signaling pathway. Conclusion. We identified PIK3CA as a potential biomarker for prognosis correlated with immune infiltrates in KIRC. Further studies should focus on the functions of PIK3CA in KIRC carcinogenesis.

Comparison of clinical outcomes between enucleation and regular pancreatectomy in patients with non-functional pancreatic neuroendocrine tumors: a retrospective multicenter and propensity score-matched study

2021 ◽  
Author(s):  
Zhen Yang ◽  
Hengjun Gao ◽  
Jun Lu ◽  
Zheyu Niu ◽  
Huaqiang Zhu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Postoperative Complications ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Neuroendocrine Tumors ◽  
Disease Free Survival ◽  
Pancreatic Neuroendocrine Tumors ◽  
Free Survival ◽  
Estimated Blood Loss ◽  
Disease Free

Abstract Objective There are limited data from retrospective studies on whether therapeutic outcomes after regular pancreatectomy are superior to those after enucleation in patients with small, peripheral and well-differentiated non-functional pancreatic neuroendocrine tumors. This study aimed to compare the short- and long-term outcomes of regular pancreatectomy and enucleation in patients with non-functional pancreatic neuroendocrine tumors. Methods Between January 2007 and July 2020, 227 patients with non-functional pancreatic neuroendocrine tumors who underwent either enucleation (n = 89) or regular pancreatectomy (n = 138) were included. Perioperative complications, disease-free survival, and overall survival probabilities were compared. Propensity score matching was performed to balance the baseline differences between the two groups. Results The median follow-up period was 60.76 months in the enucleation group and 43.29 months in the regular pancreatectomy group. In total, 34 paired patients were identified after propensity score matching. The average operative duration in the enucleation group was significantly shorter than that in the regular pancreatectomy group (147.94 ± 42.39 min versus 217.94 ± 74.60 min, P &lt; 0.001), and the estimated blood loss was also significantly lesser (P &lt; 0.001). The matched patients who underwent enucleation displayed a similar overall incidence of postoperative complications (P = 0.765), and a comparable length of hospital stay (11.12 ± 3.90 days versus 9.94 ± 2.62 days, P = 0.084) compared with those who underwent regular pancreatectomy. There were no statistically significant differences between the two groups in disease-free survival and overall survival after propensity score matching. Conclusion Enucleation in patients with non-functional pancreatic neuroendocrine tumors was associated with shorter operative time, lesser intraoperative bleeding, similar overall morbidity of postoperative complications, and comparable 5-year disease-free survival and overall survival when compared with regular pancreatectomy.

scholarly journals The role of functional polymorphisms in oxidative stress-related genes on early-stage breast cancer survival

2021 ◽  
pp. 172460082110111
Author(s):  
Erika Korobeinikova ◽  
Rasa Ugenskiene ◽  
Ruta Insodaite ◽  
Viktoras Rudzianskas ◽  
Jurgita Gudaitiene ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Single Nucleotide Polymorphisms ◽  
Early Stage ◽  
Disease Free Survival ◽  
Early Stage Breast Cancer ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Free Survival ◽  
Disease Free

Background: Genetic variations in oxidative stress-related genes may alter the coded protein level and impact the pathogenesis of breast cancer. Methods: The current study investigated the associations of functional single nucleotide polymorphisms in the NFE2L2, HMOX1, P21, TXNRD2, and ATF3 genes with the early-stage breast cancer clinicopathological characteristics and disease-free survival, metastasis-free survival, and overall survival. A total of 202 Eastern European (Lithuanian) women with primary I–II stage breast cancer were involved. Genotyping of the single nucleotide polymorphisms was performed using TaqMan single nucleotide polymorphisms genotyping assays. Results: The CA+AA genotypes of P21 rs1801270 were significantly less frequent in patients with lymph node metastasis and larger tumor size ( P=0.041 and P=0.022, respectively). The TT genotype in ATF3 rs3125289 had significantly lower risk of estrogen receptor (ER), progesterone receptor (PR) negative, and human epidermal growth factor receptor 2 (HER2) positive status ( P=0.023, P=0.046, and P=0.040, respectively). In both, univariate and multivariate Cox analysis, TXNRD2 rs1139793 GG genotype vs. GA+AA was a negative prognostic factor for disease-free survival (multivariate hazard ratio (HR) 2.248; P=0.025) and overall survival (multivariate HR 2.248; P=0.029). The ATF3 rs11119982 CC genotype in the genotype model was a negative prognostic factor for disease-free survival (multivariate HR 5.878; P=0.006), metastasis-free survival (multivariate HR 4.759; P=0.018), and overall survival (multivariate HR 3.280; P=0.048). Conclusion: Our findings suggest that P21 rs1801270 is associated with lymph node metastasis and larger tumor size, and ATF3 rs3125289 is associated with ER, PR, and HER2 status. Two potential, novel, early-stage breast cancer survival biomarkers, TXNRD2 rs1139793 and ATF3 rs11119982, were detected. Further investigations are needed to confirm the results of the current study.

scholarly journals HOTAIR as a Prognostic Predictor for Diverse Human Cancers: A Meta- and Bioinformatics Analysis

Cancers ◽  
2019 ◽  
Vol 11 (6) ◽  
pp. 778 ◽  
Author(s):  
Halil Ibrahim Toy ◽  
Didem Okmen ◽  
Panagiota I. Kontou ◽  
Alexandros G. Georgakilas ◽  
Athanasia Pavlopoulou
Keyword(s):  
Overall Survival ◽  
Cancer Patients ◽  
Bioinformatics Analysis ◽  
Meta Analysis ◽  
Disease Free Survival ◽  
Progression Free Survival ◽  
Predictive Biomarker ◽  
Free Survival ◽  
Human Cancers ◽  
Potential Biomarker

Several studies suggest that upregulated expression of the long non-coding RNA HOX transcript antisense RNA (HOTAIR) is a negative predictive biomarker for numerous cancers. Herein, we performed a meta-analysis to further investigate the prognostic value of HOTAIR expression in diverse human cancers. To this end, a systematic literature review was conducted in order to select scientific studies relevant to the association between HOTAIR expression and clinical outcomes, including overall survival (OS), recurrence-free survival (RFS)/disease-free survival (DFS), and progression-free survival (PFS)/metastasis-free survival (MFS) of cancer patients. Collectively, 53 eligible studies including a total of 4873 patients were enrolled in the current meta-analysis. Pooled hazard ratios (HRs) with their corresponding 95% confidence intervals (CIs) were calculated to assess the relationship between HOTAIR and cancer patients’ survival. Elevated HOTAIR expression was found to be significantly associated with OS, RFS/DFS and PFS/MFS in diverse types of cancers. These findings were also corroborated by the results of bioinformatics analysis on overall survival. Therefore, based on our findings, HOTAIR could serve as a potential biomarker for the prediction of cancer patient survival in many different types of human cancers.

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