scholarly journals THOTTIP is Associated with Prognosis of Lung Cancer in the Chinese Population

2020 ◽  
Author(s):  
Yue Zhao ◽  
Xiangjun Kong ◽  
Hongbing Wang
Keyword(s):  
Lung Cancer ◽  
Prognostic Value ◽  
Cox Regression ◽  
Survival Curve ◽  
Expression Patterns ◽  
Rank Test ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Lung Cancer Patients ◽  
High Level

Abstract Background: Lung cancer is a prevent malignancy with high mortality. Long noncoding RNAs (lncRNAs) have been reported to play important roles in tumorigenesis. The purpose of this study was to explore the prognostic value of lncRNA HOTTIP in lung cancer.Methods: The expression of HOTTIP in lung cancer tissues was measured by quantitative real-time PCR (qRT-PCR). Chi-square test was applied to assess the correlation of HOTTIP with clinicopathological features. Overall survival curve was built by Kaplan-Meier method with log rank test. Cox regression analysis was used to explore the prognostic value of HOTTIP in lung cancer.Results: The expression of HOTTIP was significantly increased in lung cancer samples compared with paired noncancerous samples (P<0.001). Moreover, its expression patterns were correlated with lymph node metastasis (P=0.039) and TNM stage (P=0.007). Survival curve demonstrated that lung cancer patients with high level of HOTTIP had poor survival rate (log-rank P=0.011). HOTTIP might be an independent prognostic factor for lung cancer (HR=1.916, 95%CI=1.133-3.238, P=0.015).Conclusions: HOTTIP is up-regulated in lung cancer, and associated with aggressive tumor progression. HOTTIP may be a potential prognostic biomarker for lung cancer.

miR-181 Expression is Associated With The Prognosis in Lung Cancer.

2020 ◽  
Author(s):  
Yue Zhao ◽  
Xiangjun Kong ◽  
Hongbing Wang
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Prognostic Value ◽  
Cox Regression ◽  
Suppressor Gene ◽  
Rank Test ◽  
High Morbidity ◽  
Cox Regression Analysis ◽  
Log Rank Test ◽  
Cancer Tissues

Abstract Background: Lung cancer is one of the most common cancers, with high morbidity and mortality. MiRNAs are proved to play important roles in various human cancers. In our study, we aimed to explore the prognostic value of miR-181 in lung cancerMethods: Quantitative real-time polymerase chain reaction (QRT-PCR) was used to detect the expression level of miR-181 in lung cancer tissues and the paired non-cancerous tissues. The relationship between miR-181 expression and clinicopathologic parameters were analyzed by chi-square test. Kaplan-Meier method with log rank test was applied for overall survival analysis. Furthermore, the Cox regression analyses were performed to evaluate the prognostic value of miR-181 in lung cancer.Results: Down-regulated miR-181 expression was observed in lung cancer tissues (P<0.001), moreover, its expression was significantly correlated with TNM stage (P=0.015) and metastasis (P=0.000). In addition, lung cancer patients with lower miR-181 expression level had poorer overall survival than those with higher expression (log rank test, P=0.011). Cox regression analysis suggested that miR-181 was an independent prognostic factor for lung cancer (HR=1.961, 95%CI=1.135-3.388, P=0.016).Conclusion: MiR-181 may be a tumor suppressor gene in lung cancer, which can predict outcomes for the patients.

A nomogram to predict outcomes of lung cancer patients after pneumonectomy based on 47 indicators.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20014-e20014
Author(s):  
Bo Cheng ◽  
Cong Wang ◽  
Xue Meng
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Clinical Care ◽  
External Validation ◽  
Categorical Variables ◽  
Rank Test ◽  
Survival Prediction ◽  
Cox Regression Analysis ◽  
Lung Cancer Patients

e20014 Background: Nomograms are commonly used tools to estimate prognosis in oncology and medicine.We aimed to establish a nomogram with patients’ characteristics and all available hematological biomarkers for lung cancer patients. Methods: All indexes were cataloged according to clinical significance. Principle component analysis (PCA) was used to reduce the dimensions. Each component was transformed into categorical variables based on recognized cut-off values from receiver operating characteristic (ROC) curve. Kaplan-Meier analysis with log-rank test was used to evaluate the prognostic value of each component. Multivariate analysis was used to determine the promising prognostic biomarkers. Five components were entered into a predictive nomogram. The model was subjected to bootstrap internal validation and to external validation with a separate cohort from Shandong Cancer Hospital. The predictive accuracy and discriminative ability were measured by concordance index (C index) and risk group stratification. Results: Two hundred thirty-six patients were retrospectively analyzed in this study, with 134 in the Discovery Group and 102 in the Validation Group. Forty-seven indexes were sorted into 8 subgroups, and 20 principle components were extracted for further survival analysis. Via cox regression analysis, five components were significant and entered into predictive nomograms. The calibration curves for probability of 3-, and 5-year overall survival (OS) showed optimal agreement between nomogram prediction and actual observation. The new scoring system according to nomogram allowed significant distinction between survival curves within respective tumor-node-metastasis (TNM) subgroups. Conclusions: A nomogram based on the clinical indexes was established for survival prediction of lung cancer patients, which can be used for treatment therapy selection and clinical care option. PCA makes big data analysis feasible.

scholarly journals Differential expression and prognostic value of ERCC1 and thymidylate synthase in resected gastric adenocarcinoma.

2013 ◽  
Vol 31 (4_suppl) ◽  
pp. 38-38
Author(s):  
Malcolm Hart Squires ◽  
Sarah B. Fisher ◽  
Kevin E. Fisher ◽  
Sameer H. Patel ◽  
David A. Kooby ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Differential Expression ◽  
Gastric Adenocarcinoma ◽  
Thymidylate Synthase ◽  
Prognostic Value ◽  
Cox Regression ◽  
Excision Repair ◽  
Expression Patterns ◽  
Cox Regression Analysis ◽  
Ercc1 Expression

38 Background: Excision repair cross complementing gene-1 (ERCC1) and thymidylate synthase (TS) are key regulatory enzymes whose expression patterns are variably associated with overall survival (OS) in several malignancies. For example, in lung cancer, high ERCC1 expression is inversely associated with OS depending on whether or not patients receive perioperative chemotherapy with surgery. The expression pattern and prognostic value of ERCC1 and TS in resected gastric adenocarcinoma (GAC) are not known. Methods: 109 patients who underwent resection of GAC between 1/00-6/11 had tissue available for analysis. Primary objective was to assess for differential expression of ERCC1 and TS using immunohistochemistry. Secondary objective was to assess for association of ERCC1 and TS expression with OS. Results: Median age was 64yrs. Median FU was 21.2mos and median OS was 28.8mos. Resected GAC exhibited differential expression of ERCC1 (23% high, n=25) and TS (43% high, n=47). ERCC1 and TS expression were not associated with OS. In a planned subset analysis, however, of patients who received chemotherapy (n=73), high ERCC1 expression was associated with decreased OS (16.7 vs. 53.8mos; p=0.03). After controlling for tumor size, margin, grade, T-stage, lymph node involvement, and presence of lymphovascular or perineural invasion, the negative prognostic value of high ERCC1 expression persisted on multivariate Cox regression analysis (HR 2.5; 95%CI: 1.03-6.0; p=0.04). By contrast, in patients who underwent resection only (n=35), high ERCC1 expression was associated with improved OS (40.4 vs. 12.7mos; p=0.10). This finding persisted on multivariate analysis (HR 0.20; 95%CI: 0.04-.86; p=0.03). Conclusions: Resected gastric adenocarcinoma exhibits differential expression of TS and ERCC1. TS expression is not associated with OS. However, similar to what is reported in lung cancer, high ERCC1 tumor expression is associated with decreased OS in patients receiving chemotherapy, but is associated with increased OS in those treated with surgery alone. ERCC1 expression has prognostic value in resected gastric cancer and further investigation is warranted.

scholarly journals The expression of HOXA9 and its prognostic value in cervical cancer

2020 ◽  
Author(s):  
Keqian Zhang ◽  
Tianqi Mao ◽  
Zhicheng He ◽  
Xiaojiao Wu ◽  
Yu Peng ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prognostic Value ◽  
Cox Regression ◽  
Figo Stage ◽  
Rank Test ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Chi Square Test

Abstract Background The HOXA9 gene, belonging to homeobox (HOX) gene family, has been recently reported dys-expressed in several kinds of human cancers. This study aimed to investigate the expression of HOXA9 and its prognostic value in cervical cancer. Methods The HOXA9 mRNA expression was detected with a quantitative real-time polymerase chain reaction (qRT-PCR) assay, and the association of HOXA9 expression with clinical characteristic was analyzed via chi-square test. Kaplan-Meier and cox regression analyses were conducted to estimate the prognostic value of HOXA9 in cervical cancer. Results HOXA9 expression was significantly down-expressed in cervical cancer tissues compared with that in adjacent normal tissues (P < 0.01). And the expression of HOXA9 was significantly associated with TNM stage, pathological grade, FIGO stage and differentiation (All P < 0.05). In addition, Kaplan–Meier analysis indicated that the overall survival of patients with low HOXA9 expression was shorter than those with high HOXA9 expression (log rank test, P = 0.000). Cox regression analysis revealed that HOXA9 had a high prognostic value in cervical cancer. Conclusion HOXA9 is down-regulated and involved in the development of cervical cancer. Moreover, it may be an useful independent prognostic bio-marker for patients with cervical cancer.

scholarly journals Rab25 Acts as a Promising Novel Bio-Marker in the Prognosis of Patients with Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Zhong Dai ◽  
Ke-Qing Yao ◽  
Xing-Sheng Hu ◽  
Yi-Qun Li ◽  
Yu-Tao Liu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Value ◽  
Cox Regression ◽  
Rank Test ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Chi Square Test ◽  
The Relationship

Abstract Background: Rab25 was indicated to be involved in several human tumors. However, the clinical significance of Rab25 in hepatocellular carcinoma (HCC) was still unclear. The purpose of this study was to investigate the expression and prognostic value of Rab25 in HCC.Methods: The relative mRNA expression levels of Rab25 in HCC tissues and adjacent normal tissues were detected by quantitative real-time polymerase chain reaction (qRT-PCR). Chi-square test was used to analyze the relationship between Rab25 expression and clinical characteristics of patients. The prognostic value of Rab25 in HCC was estimated through Kaplan-Meier method and cox regression analysis.Results: Rab25 gene expression level was significantly higher in HCC tissues than that in normal tissues (P<0.001). Importantly, the increased Rab25 expression was closely associated with TNM stage (P=0.024), metastasis (P=0.022) and invasion classification (P=0.039). Moreover, patients with high Rab25 expression tended to have obviously shorter overall survival than those with low expression of Rab25 (log rank test, P<0.001) via Kaplan-Meier analysis. Univariate and multivariate cox regression analyses revealed that Rab25 was an independent prognostic factor of HCC.Conclusions: Rab25 is up-regulated in HCC and contributes to the progression of this tumor. What’s more, Rab25 may be a potential bio-marker for the prognosis of HCC.

Prognostic value of piR-39980 in patients with colorectal cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16087-e16087
Author(s):  
Wei Peng ◽  
Jingfeng Mei ◽  
Jianwei Lu ◽  
Jun Bao ◽  
Guoren Zhou
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Prognostic Value ◽  
Cox Regression ◽  
Survival Curve ◽  
Prognostic Significance ◽  
Rank Test ◽  
Chi Square ◽  
Log Rank Test ◽  
Independent Indicator

e16087 Background: Colorectal cancer (CRC) accounts for a common gastrointestinal malignancy all over world. Piwi-interacting RNAs (piRNAs) show a substantial role in the oncogenesis of a variety of tumors. The objective of this work was to uncover the expression profile of piR-39980 and its prognostic value in CRC. Methods: The levels of piR-39980 expression in CRC tissues and paired normal tissues was determined by quantitative real-time polymerase chain reaction (qRT-PCR). Association of piR-39980 with CRC clinical feathers was assessed by Chi-square test. Overall survival curve was built via log-rank test by Kaplan–Meier analysis. The prognostic significance of piR-39980 in CRC was measured by Cox regression model. Results: piR-39980 was upregulated in CRC specimens than the paired normal specimens ( P < 0.001). Importantly, upregulation of piR-39980 was related to tumor size and T stage (all P < 0.05). Survival evaluation suggested that CRC folks with high expression of piR-39980 went through poorer overall survival than folks with low piR-39980 expression (log rank test, P = 0.0429). piR-39980 could be an independent indicator for CRC patients’ prognosis (HR = 3.308, 95% CI = 1.762-6.594, P = 0.043). Conclusions: piR-39980 plays oncogenic roles in CRC tumorigenesis and may be an independent indicator for CRC prognosis.

scholarly journals Incremental Prognostic Value of Ankle-Brachial Index in High Atherosclerosis Risk Patients: Prediction model assessment on ABILITIES Study

2020 ◽  
Author(s):  
Yan Cang ◽  
Shaojie Xu ◽  
Jingyi Ju ◽  
Jingyin Zhang ◽  
Zijun Chen ◽  
...  
Keyword(s):  
Prediction Model ◽  
Prognostic Value ◽  
Cox Regression ◽  
Survival Curve ◽  
Ankle Brachial Index ◽  
Ar Model ◽  
Rank Test ◽  
Model Assessment ◽  
Cox Regression Analysis ◽  
All Cause Mortality

Abstract Background Previous studies have demonstrated association between ankle–brachial index (ABI) and cardiovascular disease (CVD), and confirmed patients with high atherosclerotic risk (AR) had worse prognosis. But after controlling traditional risks, the prognostic value of ABI with all-cause mortality and CVD-cause mortality remains unclarified, especially lack of prediction model assessment. Methods 2988 valid participants were separated into 0-0.40, 0.41–0.89, 0.90–0.99, and 1.00-1.40 four ABI subgroups, and followed up by six year. Factors related to all-cause mortality and CVD-cause mortality were observed by multivariate Cox regression analysis, log-rank test and nomogram. Restricted cubic splines (RCS) were used to explore relationship with ABI and mortality. Incremental discrimination was evaluated by net reclassification index (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA). Results RCS and Kaplan–Meier survival curve all manifested abnormal ABI levels increased mortality. Compare with normal value, among 0-0.40 and 0.41–0.89 subgroup, adjusted HR of all-cause mortality was 2.12, 95% CI (1.63–3.17), and 2.06, 95% CI (1.35–2.90), respectively. HR of CVD-cuase mortality was 2.39, 95% CI (2.41–3.09), and 2.29, 95% CI (1.83–2.87), respectively. RCS presented reverse J-shaped relationship with ABI and mortality. Nomogram indicated ABI as a strong risk, occupied the second weight. Adding ABI to traditional AR model, NRI, IDI, and DCA was 0.11, 0.12, and 0.18, respectively. Conclusion Combining ABI with traditional AR can improve all-cause mortality and CVD mortality prediction. Routine ABI evaluation and intensive intervention were pressing needed, especially in high AR patients.

The prognostic value of polymorphisms in the insulin-like growth factor receptor (IGFR) pathway in patients with locally advanced pancreatic cancer (LAPC)

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 4500-4500
Author(s):  
R. T. Shroff ◽  
M. M. Javle ◽  
X. Dong ◽  
V. S. Kumar ◽  
S. Krishnan ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Induction Chemotherapy ◽  
Prognostic Value ◽  
Cox Regression ◽  
Karnofsky Performance Status ◽  
Performance Status ◽  
Locally Advanced ◽  
Advanced Pancreatic Cancer ◽  
Rank Test ◽  
Cox Regression Analysis

4500 Background: The IGFR pathway is activated in pancreatic cancer and may result in aggressive disease course. The study of single nucleotide polymorphisms (SNPs) involved in this pathway may provide prognostic information and predict response to IGFR directed agents. We investigated IGFR pathway SNPs in patients with LAPC. Methods: We evaluated 39 SNPs from 7 candidate genes in the IGFR pathway (IGF1R, IGF2R, IGF1, IGF2, IRS1, IRS2, IGFBP3) in 105 LAPC patients. DNA extraction from whole blood was performed using the Qiagen Flexigene DNA and Promega Maxwell 16 kits. Genotyping was performed using the Sequenom method. Overall survival was measured from date of diagnosis to date of death or last follow-up. Kaplan-Meier plot, log-rank test, and Cox regression were used to compare survival of patients according to genotype corrected for previously identified prognostic factors, including induction chemotherapy, CA 19–9, albumin, LDH, hemoglobin and Karnofsky performance status (KPS). Results: Median survival time (MST) was 15 months (95% CI 13.3–16.7). Induction chemotherapy, LDH, CA 19–9 level, hemoglobin, and KPS were not significantly associated with survival. Serum albumin and three SNPs of the IGF pathway (IGF1R IVS20–3431A>G, IRS1 G971R, and IGF2 *4352A>G) were significantly associated with prognosis ( Table ). Two of the three genotypes remained as significant predictors for survival in Cox regression analysis when adjusted for clinical factors. A significant combined genotype effect was observed wherein patients with all three deleterious alleles had significantly worse survival than those with only two or one (10 vs. 16.3 vs. 21.3 months, p< 0.0001). Conclusions: These data suggest that SNPs in the IGFR pathway genes may have prognostic value for LAPC patients. This information may identify population subgroups that could benefit from IGFR-targeted agents. [Table: see text] No significant financial relationships to disclose.

Protective effect of metformin in lung cancer patients

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22063-e22063
Author(s):  
B. Gagnon ◽  
M. Roseman ◽  
G. Kasymjanova ◽  
N. MacDonald ◽  
H. Kreisman ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Cox Regression ◽  
Human Cell Lines ◽  
Community Based ◽  
Cox Regression Analysis ◽  
Lung Cancer Patients ◽  
The Past ◽  
Jewish General Hospital

e22063 Background: Over the past decade, dozens of studies have shown that metformin not only decreases mortality in diabetics, it also significantly reduces CRP and reduces the risks of cancer in rodent and human cell lines. We report on the survival of lung cancer patients concomitantly exposed to metformin in our community-based program. Methods: 850 patients undergoing treatment from a prospectively collected pulmonary oncology database of the SMBD-Jewish General Hospital over an 8-year period were analyzed. Pilot observational study of survival was performed using Cox regression model. The factors that were included in the model were age, gender, stage, histology and metformin use. Results: 850 patients (F: M=375:475; mean age of 66) were diagnosed since 2000 and followed in pulmonary oncology outpatient clinic for NSCLC. 523 (62%) of those patients were diagnosed with adenocarcinoma; 488 (57%) were stage IIIB with pleural effusion/IV. 79(9%) patients were receiving treatment with metformin for their comorbid type 2 diabetes. The Cox regression analysis demonstrated that age, gender, stage and use of metformin were significant prognostic factors for survival. The use of metformin is associated with a 37% (HR 1.37; CI 1.01–1.84) (p=0.039) increase in survival. Conclusions: Thus, the result obtained from our model suggests that use of metformin may be associated with better survival of lung cancer patients. As this is a pilot study, we will consider alternative explanations. No significant financial relationships to disclose.

scholarly journals Incidence and Survival Trends of Bladder Rhabdomyosarcoma:A SEER-based Analysis of 125 Cases

2020 ◽  
Author(s):  
Pin Li ◽  
Huixia Zhou ◽  
Hualin Cao ◽  
Tao Guo ◽  
Weiwei Zhu ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Survival Time ◽  
Clinical Outcomes ◽  
Cox Regression ◽  
Survival Curve ◽  
Clinicopathological Characteristics ◽  
Chi Square ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Significant Factors

Abstract Background To elucidate the bladder rhabdomyosarcoma clinicopathological characteristics and reveal the prognostic factors. Methods We screened data from SEER database (1975-2016) stratified by age group, evaluated the differences between groups with Chi-square and Fisher’s test, conducted the Kaplan-Meier survival analysis and plotted the survival curve. The significant factors were brought into Cox regression analysis and calculated the HR(95%CI). Results About half of the patients who develop bladder RMS will be younger than 2 years of age. Embryonal RMS account for 76% of all histopathology types. Age at diagnosis more than 16-y (HR=6.595,95%CI:3.62-12.01, p=7.04e-10), NOT embryonal rhabdomyosarcoma (HR=3.61, 95%CI:1.99-6.549, p =4.1e-06), without radiotherapy combined or surgery alone (HR=4.382, 95%CI:1.99-6.549, p =2.4e-05) and not performed the surgery (HR=2.982,95%CI:1.263-7.039, p =0.0126) were negatively correlated with 5-year survival time, while race( p =0.341), whether performed the lymphadenectomy( p =0.722) showed no influence on survival time. Cox regression results show that age, histology, SEER stage, treatment combined or alone influence the clinical outcomes. Conclusions We demonstrated the demographic and characteristic of bladder rhabdomyosarcoma, identified and excluded the prognostic factors for the 5-year overall survival and clinical outcomes.

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