• 제목/요약/키워드: cancer epidemiology

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Epidemiology Characteristics and Trends of Incidence and Morphology of Stomach Cancer in Iran

  • Almasi, Zeinab;Rafiemanesh, Hosein;Salehiniya, Hamid
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권7호
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    • pp.2757-2761
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    • 2015
  • Background: Stomach cancer is the fourth most common cancer and the second leading cause of cancer-related death through the world. It is predicted that the number of new cancer cases will be more than 15 million cases by 2020. Regarding the lack of studies on this topic in the country, we have thoroughly examined the patho-epidemiology of stomach cancer in Iran. Materials and Methods: In this cross- sectional study data were collected retrospectively reviewing all new stomach cancer patients in Cancer Registry Center report of health deputy for Iran during a 6-year period (2003-2008). The study also examined the morphology of common stomach cancers. Trends in incidence and morphology underwent joinpoint regression analysis. Results: During the six-year period, a total of 35,171 cases of stomach cancer were registered. Average age standardized rate for females and males were equal to 7.1 and 15.1 per 100,000 persons, respectively. Most common histological type was adenocarcinoma, NOS with 21,980 cases (62.50%). The annual percentage change (APC) in age-standardized incidence rate (per 100,000) was increase in both females and males at 11.1 (CI: 4.3 to 18.3) and 9.2 (CI: 5.2 to 13.4), respectively. Conclusions: According to our results, the incidence of gastric cancer is increasing in Iran, so further epidemiological studies into the etiology and early detection are essential.

Epidemiology, Etiology, Diagnosis and Treatment of Prostate Cancer

  • Daniyal, Muhammad;Siddiqui, Zamir Ali;Akram, Muhammad;Asif, H.M.;Sultana, Sabira;Khan, Asmatullah
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권22호
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    • pp.9575-9578
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    • 2014
  • Prostate cancer is more common in men over the age of 65 years. There are 15% cases with positive family history of prostate cancer Worldwide. Prostate cancer is the second leading cause of death among the U.S. men. Prostate cancer incidence is strongly related to age with the highest rates in older man. Globally millions of people are suffering from this disease. This study aims to provide awareness about prostate cancer as well as an updated knowledge about the epidemiology, etiology, diagnosis and treatment of prostate cancer.

Epidemiology of Prostate Cancer

  • Bashir, Muhammad Naeem
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권13호
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    • pp.5137-5141
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    • 2015
  • Prostate cancer is the most common malignancy among males worldwide, and is the second leading cause of cancer death among men in United States. According to GLOBOCAN (2012), an estimated 1.1 million new cases and 307,000 deaths were reported in 2012. The reasons for the increase of this disease are not known, but increasing life expectancy and modified diagnostic techniques have been suggested as causes. The established risk factors for this disease are advancing age, race, positive family history of prostate cancer and western diet (use of fat items). Several other risk factors, such as obesity, physical activity, sexual activity, smoking and occupation have been also associated with prostate cancer risk, but their roles in prostate cancer etiology remain uncertain. This mini-review aims to provide risk factors, disease knowledge, prevalence and awareness about prostate cancer.

Impact of Treatment Type on Overall Survival in Elderly Brazilian Women with Breast Cancer

  • Bello, Marcelo Adeodato;de Menezes, Raquel Ferreira;de Sousa Silva, Brunna;da Silva, Rafael de Carvalho;Cavalcanti, Rousiane Silva;da Costa Moraes, Thayane de Fatima;Tonellotto, Fabiana;de Aguiar, Suzana Sales;Martucci, Renata Brum;Bergmann, Anke;Thuler, Luiz Claudio Santos
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권10호
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    • pp.4769-4774
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    • 2016
  • Objective: To analyze the survival of elderly patients with breast cancer according to the type of treatment used. Methods: A cohort study of women aged 80 or over with breast cancer registered with the Brazilian National Cancer Institute (Instituto Nacional do $C{\hat{a}}ncer$ - INCA) between 2008 and 2009 was conducted. Prognosis was analyzed according to the cancer treatment performed: surgery, radiotherapy, or hormone therapy. Analysis of the overall 5-year survival rate was performed using the Kaplan - Meier method, and comparisons of curves were undertaken using the log-rank test. For multiple regression analysis, Cox regression was used, adjusting for age and clinical stage, considering values of p < 0.05 as significant. Data were all analyzed using the statistical package SPSS version 20. Results: 70 women with a mean age of $84.0{\pm}3.7years$ at diagnosis participated in the study. The median follow-up time was 37.1 months (range 0.5-75.5), and 31 deaths (44.3%) occurred during this time. The median survival time was 51.2 months (95% CI, 44.9-57.4), higher in those who underwent surgery (p = 0.012) and those who had hormone therapy (p=0.001). Treatment with surgery reduced the risk of death by 61.7% (HR 0.3; 95% CI, 0.1-0.6; p = 0.001) when adjusted for clinical stage and age at diagnosis. However, there was no significant benefit from radiotherapy (HR 1.2; 95% CI, 0.5-2.5; p = 0.694). Conclusion: Treatment with surgery and hormone therapy increased the survival of our Brazilian patients with breast cancer aged 80 or over.

Historical Long-term Exposure to Pentachlorophenol Causing Risk of Cancer - A Community Study

  • Zheng, Rui-Zhi;Zhang, Qing-He;He, Yi-Xin;Zhang, Qian;Yang, Lin-Shen;Zhang, Zhi-Hua;Zhang, Xiu-Jun;Hu, Jing-Ting;Huang, Fen
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권2호
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    • pp.811-816
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    • 2013
  • Background: Pervious studies suggested occupational workers exposure to pentachlorophenol (PCP) might contribute to increased risk of cancer. However, few studies have focused on associations between PCP and cancer risk at the community level. Objective: The present study was to explore the cancer risk for the community population living long-term in a PCP contaminated area. Methods: All the cancer cases diagnosed in 2009-2011 in Tongling City were collected. The cancer patients' residencies were geo-referenced in each district. The historical PCP usage for each district of Tongling was calculated as the PCP pollution index, which was further used to divide into PCP exposure categories. Standardized rate ratios (SRRs) of cancer incidence were applied to detect the cancer risk as exposure grade elevated. Correlation analysis was performed to analyze the relationship between PCP pollution and cancer incidence. Results: A total of 5,288 cancer cases (3,451 male and 1,837 female) were identified. PCP usage was correlated with the incidence of leukemia (r=0.88, P=0.002) for males, and with cancer of the esophagus for males (r=0.83, P=0.008) and females (r=0.71, P=0.020). Compared with the low exposure category, significant SRRs for total cancer sites was obtained for high PCP exposure category (SRR=1.61, 95%CI=1.59-1.62). Most SRR values of the cancer sites were significantly increased as exposure grade elevated and exposure time extended. Conclusion: The present study found that community residents living in the PCP contaminated area had increased risk of cancers. Leukemias, lymphomas and nasopharyngeal and esophageal cancers are most possibly associated with PCP exposure.

Assessing Markov and Time Homogeneity Assumptions in Multi-state Models: Application in Patients with Gastric Cancer Undergoing Surgery in the Iran Cancer Institute

  • Zare, Ali;Mahmoodi, Mahmood;Mohammad, Kazem;Zeraati, Hojjat;Hosseini, Mostafa;Naieni, Kourosh Holakouie
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권1호
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    • pp.441-447
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    • 2014
  • Background: Multi-state models are appropriate for cancer studies such as gastrectomy which have high mortality statistics. These models can be used to better describe the natural disease process. But reaching that goal requires making assumptions like Markov and homogeneity with time. The present study aims to investigate these hypotheses. Materials and Methods: Data from 330 patients with gastric cancer undergoing surgery at Iran Cancer Institute from 1995 to 1999 were analyzed. To assess Markov assumption and time homogeneity in modeling transition rates among states of multi-state model, Cox-Snell residuals, Akaikie information criteria and Schoenfeld residuals were used, respectively. Results: The assessment of Markov assumption based on Cox-Snell residuals and Akaikie information criterion showed that Markov assumption was not held just for transition rate of relapse (state 1 ${\rightarrow}$ state 2) and for other transition rates - death hazard without relapse (state 1 ${\rightarrow}$ state 3) and death hazard with relapse (state 2 ${\rightarrow}$ state 3) - this assumption could also be made. Moreover, the assessment of time homogeneity assumption based on Schoenfeld residuals revealed that this assumption - regarding the general test and each of the variables in the model- was held just for relapse (state 1 ${\rightarrow}$ state 2) and death hazard with a relapse (state 2 ${\rightarrow}$ state 3). Conclusions: Most researchers take account of assumptions such as Markov and time homogeneity in modeling transition rates. These assumptions can make the multi-state model simpler but if these assumptions are not made, they will lead to incorrect inferences and improper fitting.

Comparison between Parametric and Semi-parametric Cox Models in Modeling Transition Rates of a Multi-state Model: Application in Patients with Gastric Cancer Undergoing Surgery at the Iran Cancer Institute

  • Zare, Ali;Mahmoodi, Mahmood;Mohammad, Kazem;Zeraati, Hojjat;Hosseini, Mostafa;Naieni, Kourosh Holakouie
    • Asian Pacific Journal of Cancer Prevention
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    • 제14권11호
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    • pp.6751-6755
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    • 2013
  • Background: Research on cancers with a high rate of mortality such as those occurring in the stomach requires using models which can provide a closer examination of disease processes and provide researchers with more accurate data. Various models have been designed based on this issue and the present study aimed at evaluating such models. Materials and Methods: Data from 330 patients with gastric cancer undergoing surgery at Iran Cancer Institute from 1995 to 1999 were analyzed. Cox-Snell Residuals and Akaike Information Criterion were used to compare parametric and semi-parametric Cox models in modeling transition rates among different states of a multi-state model. R 2.15.1 software was used for all data analyses. Results: Analysis of Cox-Snell Residuals and Akaike Information Criterion for all probable transitions among different states revealed that parametric models represented a better fitness. Log-logistic, Gompertz and Log-normal models were good choices for modeling transition rate for relapse hazard (state $1{\rightarrow}state$ 2), death hazard without a relapse (state $1{\rightarrow}state$ 3) and death hazard with a relapse (state $2{\rightarrow}state$ 3), respectively. Conclusions: Although the semi-parametric Cox model is often used by most cancer researchers in modeling transition rates of multistate models, parametric models in similar situations- as they do not need proportional hazards assumption and consider a specific statistical distribution for time to occurrence of next state in case this assumption is not made - are more credible alternatives.

Association Between the (GT)n Polymorphism of the HO-1 Gene Promoter Region and Cancer Risk: a Meta-analysis

  • Zhang, Ling;Song, Fang-Fang;Huang, Yu-Bei;Zheng, Hong;Song, Feng-Ju;Chen, Ke-Xin
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권11호
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    • pp.4617-4622
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    • 2014
  • Background: Several studies have previously focused on associations between the (GT)n repeat polymorphism of the heme oxygenase-1 (HO-1) gene promoter region and risk of cancers, but results are complex. We conducted the present meta-analysis to integrate relevant findings and evaluate the association between HO-1(GT)n repeat polymorphism and cancer susceptibility. Materials and Methods: Published literature was retrieved from the PubMed/MEDLINE, EMBASE and ISI Web of Science databases before November 2013. For all alleles and genogypes, odds ratios were pooled to assess the strength of the associations using either fixed-effects or random-effects models according to heterogeneity. Subgroup analysis was conducted according to ethnicity and histopathology. Results: A total of 10 studies involving 2,367 cases and 2,870 controls were identified. The results showed there was no association between HO-1 (GT)n repeat polymorphism and the cancer risk both at the allelic and genotypic level. However, in the stratified analysis, we observed an increased risk of squamous cell carcinoma in persons carrying the LL genotype and the LL+LS genotype as compared with those carrying the SS genotype. When the LS and SS genotypes were combined, the odds ratio for squamous cell carcinoma in LL-genotype carriers, were also significantly increased. No publication bias was observed. Conclusions: The LL genotype and L-allele carrying genotypes (LL+LS) of HO-1 (GT)n repeat polymorphism are potential genetic factors for developing squamous cell carcinoma. More large and well-designed studies are required for further validations.

Breastfeeding and Ovarian Cancer Risk: a Systematic Review and Meta-analysis of 40 Epidemiological Studies

  • Li, Da-Peng;Du, Chen;Zhang, Zuo-Ming;Li, Guang-Xiao;Yu, Zhi-Fu;Wang, Xin;Li, Peng-Fei;Cheng, Cheng;Liu, Yu-Peng;Zhao, Ya-Shuang
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권12호
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    • pp.4829-4837
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    • 2014
  • The present systematic review and meta-analysis was conducted to assess any association between breastfeeding and the risk of ovarian cancer. A systematic search of published studies was performed in PUBMED and EMBASE and by reviewing reference lists from retrieved articles through March 2013. Data extraction was conducted independently by two authors. Pooled relative risk ratios were calculated using random-effect models. Totals of 5 cohort studies and 35 case-control studies including 17,139 women with ovarian cancer showed a 30% reduced risk of ovarian cancer when comparing the women who had breastfed with those who had never breastfed (pooled RR = 0.70, 95% CI: 0.64-0.76; p = 0.00), with significant heterogeneity in the studies (p = 0.00; I2 = 76.29%). A significant decreasd in risk of epithelial ovarian cancer was also observed (pooled RR = 0.68, 95% CI: 0.61-0.76). When the participants were restricted to only parous women, there was a slightly attenuated but still significant risk reduction of ovarian cancer (pooled RR = 0.76, 95% CI: 0.69-0.83). For total breastfeeding duration, the pooled RRs in the < 6 months, 6-12 months and > 12 months of breastfeeding subgroups were 0.85 (95% CI: 0.77-0.93), 0.73 (95% CI: 0.65-0.82) and 0.64 (95%CI: 0.56-0.73), respectively. Meta-regression of total breastfeeding duration indicated an increasing linear trend of risk reduction of ovarian cancer with the increasing total breastfeeding duration (p = 0.00). Breastfeeding was inversely associated with the risk of ovarian cancer, especially long-term breastfeeding duration that demonstrated a stronger protective effect.

ADPRT Val762Ala and XRCC1 Arg194Trp Polymorphisms and Risk of Gastric Cancer in Sichuan of China

  • Wen, Yuan-Yuan;Pan, Xiong-Fei;Loh, Marie;Tian, Zhi;Yang, Shu-Juan;Lv, Si-Han;Huang, Wen-Zhi;Huang, He;Xie, Yao;Soong, Richie;Yang, Chun-Xia
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권5호
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    • pp.2139-2144
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    • 2012
  • Objective: Gastric cancer remains a major health problem in China. We hypothesized that XRCC1 Arg194Trp and ADPRT Val762Ala may be associated with risk. Methods: We designed a multicenter 1:1 matched case-control study of 307 pairs of gastric cancers and controls between October 2010 and August 2011. XRCC1 Arg194Trp and ADPRT Val762Ala were sequenced, and demographic data as well as lifestyle factors were collected using a self-designed questionnaire. Results: Individuals carrying XRCC1 Trp/Trp or Arg/Trp variant genotype had a significantly increased risk of gastric cancer (OR, 1.718; 95% CI, 1.190-2.479), while the OR for ADPRT Val762Ala variant genotype (Ala/Ala or Val/Ala) was 1.175 (95% CI, 0.796-1.737). No gene-gene or gene-environment interactions were found. In addition, family history of cancer and drinkers proportion were higher among cases than among controls (P<0.05). Conclusions: XRCC1 194 Arg/Trp or Trp/Trp genotype, family history of cancer, and drinking are suspected risk factors of gastric cancer from our study. Our findings may offer insight into further similar large gene-environment and gene-gene studies in this region.