• Title/Summary/Keyword: Survival and hazard analysis

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Polymorphisms in Genes of the De Novo Lipogenesis Pathway and Overall Survival of Hepatocellular Carcinoma Patients Undergoing Transarterial Chemoembolization

  • Wu, You-Sheng;Bao, Deng-Ke;Dai, Jing-Yao;Chen, Cheng;Zhang, Hong-Xin;Yang, YeFa;Xing, Jin-Liang;Huang, Xiao-Jun;Wan, Shao-Gui
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.3
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    • pp.1051-1056
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    • 2015
  • Aberrant expression of genes in de novo lipogenesis (DNL) pathway were associated with various cancers, including hepatocellular carcinoma (HCC). Single nucleotide polymorphisms (SNPs) of DNL genes have been reported to be associated with prognosis of some malignancies. However, the effects of SNPs in DNL genes on overall survival of HCC patients receiving transarterial chemoembolization (TACE) treatment are still unknown. In present study, nine SNPs in three genes (ACLY, ACACA and FASN) in DNL pathway were genotyped using the Sequenom iPLEX genotyping system in a hospital-based cohort with 419 HCC patients treated with TACE, and their associations with HCC overall survival were evaluated by Cox proportional hazard regression analysis under three genetic models (additive, dominant and recessive). Although we did not find any significant results in total analysis (all p>0.05), our stratified data showed that SNP rs9912300 in ACLY gene was significantly associated with overall survival of HCC patients with lower AFP level and SNP rs11871275 in ACACA gene was significantly associated with overall survival of HCC patients with higher AFP level. We further identified the significant interactions between AFP level and SNP rs9912300 or rs11871275 in the joint analysis. Conclusively, our data suggest that genetic variations in genes of DNL pathway may be a potential biomarker for predicting clinical outcome of HCC patients treated with TACE.

Pancreatic Cancer in Universiti Sains Malaysia Hospital: A Retrospective Review of Years 2001-2008

  • Norsa'adah, Bachok;Nur-Zafira, Azemi;Knight, Aishah
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.6
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    • pp.2857-2860
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    • 2012
  • Pancreatic cancer is usually detected late and has a high mortality rate. Since little is known about this cancer in Malaysia, a review of all cases admitted to Universiti Sains Malaysia Hospital was conducted to identify the epidemiological distribution and assess survival. A list of pancreatic cancer patients in 2001-2008 was obtained from the Hospital Record Department. Only cases confirmed by radio-imaging or histo-pathology examination were included. We excluded those with incomplete medical records. Kaplan-Meier and Cox proportional hazard approaches were used for data analysis. Only 56 cases were included with a mean (SD) age of 49.6 (16.0) years, with 60.7% males and 82.1% of Malay ethnicity. Previous history included cholelithiasis in 23.2%, diabetes mellitus in 16.1%, previous laparotomy in 10.7%, chronic pancreatitis in 7.1%, alcohol drinking in 5.4% and positive family history in 3.6%. The common presenting history included 67.9% loss of appetite, 66.1% loss of weight, 58.9% jaundice and 46.4% abdominal pain. Tumour staging was: 21.5% stage l, 17.8% stage ll, 3.6% stage lll and 57.1% stage lV. The median (95% CI) survival time was 3.4 (0.5, 6.3) months and significant prognostic factors were duration of symptoms (HR 0.97; 95% CI: 0.95, 0.99; p value 0.013), ascites (HR 2.64; 95% CI: 1.28, 5.44; p value 0.008) and Whipple surgery (HR 4.20; 95% CI: 2.27, 7.76; p value <0.001). The history of presenting complaints was short and the majority presented at late stages of the disease, thus the median survival time was very poor.

Lack of any Impact of Histopathology Type on Prognosis in Patients with Early-Stage Adenocarcinoma and Squamous Cell Carcinoma of the Uterine Cervix

  • Teke, Fatma;Yoney, Adnan;Teke, Memik;Inal, Ali;Urakci, Zuhat;Eren, Bekir;Zincircioglu, Seyit Burhanedtin;Buyukpolat, Muhammed Yakup;Ozer, Ali;Isikdogan, Abdurrahman;Unsal, Mustafa
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.6
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    • pp.2815-2819
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    • 2014
  • Background: The aim of this study was to evaluate the prognosis of patients with stage IA-IIB cervical carcinoma and to investigate a possible correlation of histology with prognosis. Materials and Methods: Two hundred fifty one patients with adenocarcinoma and squamous cell carcinoma (SCC) histology for FIGO (International Federation of Gynecology and Obstetrics) stage IA-IIB uterine cervical carcinomas at the Radiation Oncology Clinic of GH Okmeydan Training and Research Hospital between January 1996 and December 2006 were selected, analyzed retrospectively and evaluated in terms of general characteristics and survival. Disease-free survival (DFS) and overall survival (OS) was calculated using the Kaplan-Meier method and differences were compared with the log-rank test. Multivariate analysis using a Cox-proportional hazards model was used to adjust for prognostic factors and to estimate hazard ratio (HR) with 95% confidence interval (CI). Results: There was no differences between the two tumour types in age, stage, pelvic nodal metastasis, parametrial invasion, surgical margin status, DSI, LVSI, maximal tumor diameter, grade, and treatment modalities. 5-year OS and DFS were 73% and 77%, versus 64% and 69%, for SCC and adenocarcinoma, respectively (p> 0.05). Multivariate analysis revealed independent prognostic factors including pelvic nodal metastasis and resection margin status for OS (p=0.008, p=0.002, respectively). Conclusions: Prognosis of FIGO stage IA-IIB cervical cancer patients was found to be the same for those with adenocarcinoma and SCC.

RELIABILITY ANALYSIS FOR THE TWO-PARAMETER PARETO DISTRIBUTION UNDER RECORD VALUES

  • Wang, Liang;Shi, Yimin;Chang, Ping
    • Journal of applied mathematics & informatics
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    • v.29 no.5_6
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    • pp.1435-1451
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    • 2011
  • In this paper the estimation of the parameters as well as survival and hazard functions are presented for the two-parameter Pareto distribution by using Bayesian and non-Bayesian approaches under upper record values. Maximum likelihood estimation (MLE) and interval estimation are derived for the parameters. Bayes estimators of reliability performances are obtained under symmetric (Squared error) and asymmetric (Linex and general entropy (GE)) losses, when two parameters have discrete and continuous priors, respectively. Finally, two numerical examples with real data set and simulated data, are presented to illustrate the proposed method. An algorithm is introduced to generate records data, then a simulation study is performed and different estimates results are compared.

Surgical Outcomes for Native Valve Endocarditis

  • Park, Bong Suk;Lee, Won Yong;Ra, Yong Joon;Lee, Hong Kyu;Gu, Byung Mo;Yang, Jun Tae
    • Journal of Chest Surgery
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    • v.53 no.1
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    • pp.1-7
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    • 2020
  • Background: The aim of this study was to evaluate the short-term and long-term results of surgical treatment for native valve endocarditis (NVE) and to investigate the risk factors associated with mortality. Methods: Data including patients' characteristics, operative findings, postoperative results, and survival indices were retrospectively obtained from Hallym University Sacred Heart Hospital. Results: A total of 29 patients underwent surgery for NVE (affecting the mitral valve in 20 patients and the aortic valve in 9) between 2003 and 2017. During the follow-up period (median, 46.9 months; interquartile range, 19.1-107.0 months), the 5-year survival rate was 77.2%. In logistic regression analysis, body mass index (p=0.031; odds ratio [OR], 0.574; 95% confidence interval [CI], 0.346-0.951), end-stage renal disease (ESRD) (p=0.026; OR, 24.0; 95% CI, 1.459-394.8), and urgent surgery (p=0.010; OR, 34.5; 95% CI, 2.353-505.7) were significantly associated with in-hospital mortality. Based on Cox proportional hazard regression analysis, the statistically significant predictors of long-term outcomes were hypertension, ESRD, and urgent surgery. Conclusion: Surgical treatment for NVE is associated with considerable mortality. The in-hospital mortality and 5-year survival rates of this study were 13.8% and 77.2%, respectively. Underlying conditions, including hypertension and ESRD, and urgent surgery were independent risk factors for unfavorable outcomes.

Prognostic Significance of C-reactive Protein in Urological Cancers: a Systematic Review and Meta-analysis

  • Dai, Jin;Tang, Kun;Xiao, Wei;Yu, Gan;Zeng, Jin;Li, Wei;Zhang, Ya-Qun;Xu, Hua;Chen, Zhi-Qiang;Ye, Zhang-Qun
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.8
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    • pp.3369-3375
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    • 2014
  • Background: C-reactive protein (CRP), considered as a prototypical inflammatory cytokine, has been proposed to be involved in tumor progression through inflammation. Recent studies have indicated CRP as a progostic predictor for urological cancers, but the results remain controversial. Materials and Methods: A systematic search of Medline, Scopus and the Cochrane Library was performed to identify eligible studies published between Jan 1, 2001 and Sep 1, 2013. Outcomes of interest were collected from studies comparing overall survival (OS), cancer-specific survival (CSS) and relapse-free survival (RFS) in patients with elevated CRP levels and those having lower levels. Studies were pooled, and combined hazard ratio (HR) of CRP with its 95% confidence interval (CI) for survival were used for the effect size estimate. Results: A total of 43 studies (7,490 patients) were included in this meta-analysis (25 for RCC, 10 for UC, and 8 for PC). Our pooled results showed that elevated serum CRP level was associated with poor OS (HR: 1.26, 95%CI: 1.22-1.30) and RFS (HR: 1.38 95%CI: 1.29-1.47), respectively. For CSS the pooled HR (HR: 1.33, 95%CI: 1.28-1.39) for higher CRP expression could strongly predict poorer survival in urological cancers. Simultaneously, elevated serum CRP was also significantly associated with poor prognosis in the subgroup analysis. Conclusions: Our pooled results demonstrate that a high serum level of CRP as an inflammation biomarker denotes a poor prognosis of patients with urological cancers. Further large prospective studies should be performed to confirm whether CRP, as a biomarker of inflammation, has a prognostic role in urological cancer progression.

Analysis of stage III proximal colon cancer using the Cox proportional hazards model (Cox 비례위험모형을 이용한 우측 대장암 3기 자료 분석)

  • Lee, Taeseob;Lee, Minjung
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.2
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    • pp.349-359
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    • 2017
  • In this paper, we conducted survival analyses by fitting the Cox proportional hazards model to stage III proximal colon cancer data obtained from the Surveillance, Epidemiology, and End Results program of the National Cancer Institute. We investigated the effect of covariates on the hazard function for death from proximal colon cancer in stage III with surgery performed and estimated the survival probability for a patient with specific covariates. We showed that the proportional hazards assumption is satisfied for covariates that were used to analyses, using a test based on the Schoenfeld residuals and plots of the Schoenfeld residuals and $log[-log\{{\hat{S}}(t)\}]$. We evaluated the model calibration and discriminatory accuracy by calibration plot and time-dependent area under the ROC curve, which were calculated using 10-fold cross validation.

The effect and therapeutic compliance of adjuvant therapy in patients with cholangiocarcinoma after R0 resection: a retrospective study

  • Han Taek Jeong;Joonkee Lee;Hyeong Ho Jo;Ho Gak Kim;Jimin Han
    • Journal of Yeungnam Medical Science
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    • v.40 no.1
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    • pp.65-77
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    • 2023
  • Background: This study aimed to compare clinical outcomes between surveillance and adjuvant therapy (AT) groups after R0 resection for cholangiocarcinoma (CCA). Methods: A total of 154 patients who underwent R0 resection for CCA at the Daegu Catholic University Medical Center between January 2010 and December 2019 were included. Overall survival (OS) and progression-free survival (PFS) were analyzed. Results: The median follow-up duration was 899 days. There were 109 patients in the AT group and 45 patients in the surveillance group. The patients in the AT group were younger (67 years vs. 74 years, p<0.001) and included more males (64.2% vs. 46.7%, p=0.044). The proportion of patients with stage III CCA was larger in the AT group than in the surveillance group (13.8% vs. 2.2%, p=0.005). In addition, AT did not improve OS (5-year OS rate, 69.3% in the AT group vs. 64.2% in the surveillance group, p=0.806) or PFS (5-year PFS rate, 42.6% in the AT group vs. 48.9% in the surveillance group, p=0.113). In multivariate analysis using the Cox proportional hazards model, stage III CCA (hazard ratio [HR], 10.81; 95% confidence interval [CI], 2.92-40.00; p<0.001) was a significant predictor of OS. American Society of Anesthesiologists classification II (HR, 0.50; 95% CI, 0.31-0.81; p=0.005), and American Joint Committee on Cancer stages II (HR, 3.14; 95% CI, 1.25-7.89; p=0.015) and III (HR, 8.08; 95% CI, 2.80-23.32; p<0.001) were independent predictors of PFS. Conclusion: AT after R0 resection for CCA did not improve OS or PFS.

Volumetric CT Texture Analysis of Intrahepatic Mass-Forming Cholangiocarcinoma for the Prediction of Postoperative Outcomes: Fully Automatic Tumor Segmentation Versus Semi-Automatic Segmentation

  • Sungeun Park;Jeong Min Lee;Junghoan Park;Jihyuk Lee;Jae Seok Bae;Jae Hyun Kim;Ijin Joo
    • Korean Journal of Radiology
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    • v.22 no.11
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    • pp.1797-1808
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    • 2021
  • Objective: To determine whether volumetric CT texture analysis (CTTA) using fully automatic tumor segmentation can help predict recurrence-free survival (RFS) in patients with intrahepatic mass-forming cholangiocarcinomas (IMCCs) after surgical resection. Materials and Methods: This retrospective study analyzed the preoperative CT scans of 89 patients with IMCCs (64 male; 25 female; mean age, 62.1 years; range, 38-78 years) who underwent surgical resection between January 2005 and December 2016. Volumetric CTTA of IMCCs was performed in late arterial phase images using both fully automatic and semi-automatic liver tumor segmentation techniques. The time spent on segmentation and texture analysis was compared, and the first-order and second-order texture parameters and shape features were extracted. The reliability of CTTA parameters between the techniques was evaluated using intraclass correlation coefficients (ICCs). Intra- and interobserver reproducibility of volumetric CTTAs were also obtained using ICCs. Cox proportional hazard regression were used to predict RFS using CTTA parameters and clinicopathological parameters. Results: The time spent on fully automatic tumor segmentation and CTTA was significantly shorter than that for semi-automatic segmentation: mean ± standard deviation of 1 minutes 37 seconds ± 50 seconds vs. 10 minutes 48 seconds ± 13 minutes 44 seconds (p < 0.001). ICCs of the texture features between the two techniques ranged from 0.215 to 0.980. ICCs for the intraobserver and interobserver reproducibility using fully automatic segmentation were 0.601-0.997 and 0.177-0.984, respectively. Multivariable analysis identified lower first-order mean (hazard ratio [HR], 0.982; p = 0.010), larger pathologic tumor size (HR, 1.171; p < 0.001), and positive lymph node involvement (HR, 2.193; p = 0.014) as significant parameters for shorter RFS using fully automatic segmentation. Conclusion: Volumetric CTTA parameters obtained using fully automatic segmentation could be utilized as prognostic markers in patients with IMCC, with comparable reproducibility in significantly less time compared with semi-automatic segmentation.

Regimen-related Mortality Risk in Patients Undergoing Peritoneal Dialysis Using Hypertonic Glucose Solution: A Retrospective Cohort Study

  • Sujimongkol, Chinakorn;Pongskul, Cholatip;Promthet, Supannee
    • Journal of Preventive Medicine and Public Health
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    • v.51 no.4
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    • pp.205-212
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    • 2018
  • Objectives: The main purpose of this study was to quantify the risk of mortality linked to various regimens of hypertonic peritoneal dialysis (PD) solution. Methods: A retrospective cohort study of patients using home-based PD was carried out. The prescribed regimen of glucose-based PD solution for all patients, determined on the basis of their individual conditions, was extracted from their medical chart records. The primary outcome was death. The treatment regimens were categorized into 3 groups according to the type of PD solution used: original PD (1.5% glucose), shuffle PD (1.5 and 2.5% glucose), and serialized PD (2.5 and 4.5% glucose). Multivariate analysis (using the Weibull model) was applied to comprehensively examine survival probabilities related to the explanatory variable, while adjusting for other potential confounders. Results: Of 300 consecutive patients, 38% died over a median follow-up time of 30 months (interquartile range: 15-46 months). Multivariate analysis showed that a treatment regimen with continued higher-strength PD solution (serialized PD) resulted in a lower survival rate than when the conventional strength solution was used (adjusted hazard ratio, 2.6; 95% confidence interval, 1.6 to 4.6, p<0.01). Five interrelated risk factors (age, length of time on PD, hemoglobin levels, albumin levels, and oliguria) were significant predictors contributing to the outcome. Conclusions: Frequent exposure to high levels of glucose PD solution significantly contributed to a 2-fold higher rate of death, especially when hypertonic glucose was prescribed continuously.