• 제목/요약/키워드: Biostatistics

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Pre-Treatment Performance Status and Stage at Diagnosis in Patients with Head and Neck Cancers

  • Krishnatreya, Manigreeva;Rahman, Tashnin;Kataki, Amal Chandra;Sharma, Jagannath Dev;Nandy, Pintu;Baishya, Nizara
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권19호
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    • pp.8479-8482
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    • 2014
  • Performance status (PS) is a key factor in the selection of treatment in head and neck cancer patients (HNC). There is a probability in the development of an unfavorable PS with HNC advancing stages. This retrospective study was done on data of patients registered during the period from January 2010 to December 2012 at a cancer registry in the North Eastern India. PS was recorded according to the WHO scale. Multinomial logistic regression analysis was conducted to assess the probability of poor performance status with advancing stage. Out of 3,593 patients, there were 78.9% (2,836) males and 21.1% (757) females. Average PS0 was seen in 57.4% of all HNCs, less than 1% of all cases in HNCs with poor PS3-4 except in cases with thyroid, parotid and nose and PNS cancers, 0.7% stage IV (${\pm}M1$) HNC with PS4, favorable PS0-1 was seen in 84% to 100% of cases, RR=57.1 (CI=21.2-154.1) in M1 for PS4 and with advancing stages the probability of worsening of PS0 to PS4 was 3 times (P=0.021, 95% CI= 1.187-8.474). In HNC, the majority of patients presents with a favorable PS0-1 with different odds of worsening of PS with advancing stages and the presence of metastasis in stage IV is significantly associated with a poor PS.

Incidence Trend for Non-Hodgkin Lymphoma in the North Tunisian Population, 1998-2009

  • Benhassine, Adel;Khadhra, Hajer Ben;Khiari, Houyem;Hsairi, Mohamed;Elgaaied, Amel Benammar
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권5호
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    • pp.2513-2518
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    • 2016
  • Background: In 2008, non-Hodgkin lymphoma ranked tenth among other malignancies worldwide with an incidence of around 5 cases per 100,000 in both genders. The latest available rates in Tunisia are from 2006. Materials and Methods: This study aimed to provide an update about NHL incidence for 2009 and its trend between 1998 and 2009 as well as a projection until 2024, using data from the Salah Azaiz Institute hospital registry and the Noth Tunisia cancer registry. Results: In 2009, the NHL incidence in the north of Tunisia was 4.03 cases per 100,000, 4.97 for men and 3.10 for women. Diffuse large B-cell lymphoma (DLBCL) accounted for 63.2% of all NHL subtypes. Between 1998 and 2009, the overall trend showed no significant change. When we compared the trend between two periods (1998-2005 and 2005-2009), joinpoint regression showed a significant decrease of NHL incidence in the first period with an annual percentage change (APC) of -6.7% (95% CI:[-11.2%;-2%]), then the incidence significantly increased from 2005 to 2009 with an APC of 30.5% (95% CI: [16.1%; 46.6%]. The analyses of the different subtype trends showed a significant decrease in DLBCL incidence between 1998 and 2000 (APC:-21.5; 95% CI: [-31.4%;-10.2%]) then the incidence significantly increased between 2004 and 2007 (APC: 18.5; 95% CI: [3,6%;35.5%]). Joint point analysis of the age-period-cohort model projection showed a significant increase between 2002 and 2024 with an APC of 4.5% (%95 CI: [1.5%; 7.5%]). The estimated ASR for 2024 was 4.55/100 000 (95% CI: [3.37; 6.15]). Conclusions: This study revealed an overall steady trend in the incidence of NHL in northern Tunisia between 1998 and 2009. Projection showed an increase in the incidence in NHL in both genders which draw the attention to the national and worldwide burden of this malignancy.

Molecular Characterization of Hallikar Breed of Cattle Using Microsatellite Markers

  • Kumar, S. Naveen;Jayashankar, M.R.;Nagaraja, C.S.;Govindaiah, M.G.;Saravanan, R.;Karthickeyan, S.M.K.
    • Asian-Australasian Journal of Animal Sciences
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    • 제19권5호
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    • pp.622-626
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    • 2006
  • Molecular characterization of Hallikar, the native cattle breed of Karnataka, was undertaken using 19 cattle specific, highly polymorphic microsatellite markers recommended by FAO. The genomic DNA was subjected to PCR amplification and alleles were resolved through six per cent denaturing PAGE with a 10 bp DNA ladder followed by silver staining. Genotyping of animals was done based on allele size. The number of alleles ranged from three to nine with allele sizes ranging from 102 bp to 294 bp. These alleles were distributed in the frequency range between 0.0306 and 0.8673 in the population. The mean observed number of alleles was $6.368{\pm}1.4225$. The mean observed and expected heterozygosities were $0.7515{\pm}0.1734$ and $0.7850{\pm}0.1381$, respectively. The high heterozygosity observed implies presence of higher genetic variability within Hallikar breed. The PIC (Polymorphism Information Content) values ranged from 0.2322 (ETH152) to 0.8654 (ETH225). The percentage of polymorphic loci obtained was 100 as all the 19 microsatellite markers were found to be polymorphic. Except for ETH152, all the other loci had high PIC values, indicating that these markers are highly informative for characterization of Hallikar breed. The population was tested for Hardy-Weinberg equilibrium at 19 microsatellite loci, and at 74 per cent of the loci the population was found to be in disequilibrium.

Prostate Cancer in Iran: Trends in Incidence and Morphological and Epidemiological Characteristics

  • Pakzad, Reza;Rafiemanesh, Hosein;Ghoncheh, Mahshid;Sarmad, Arezoo;Salehiniya, Hamid;Hosseini, Sayedehafagh;Sepehri, Zahra;Afshari-Moghadam, Amin
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권2호
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    • pp.839-843
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    • 2016
  • Background: Prostate cancer is second most common cancer in men overall in the world, whereas it is the third most common cancer in men and the sixth most common cancer in Iran. Few studies have been conducted on the epidemiology of prostate cancer in Iran. Since ethnicity of Iranian men is different from Asian people and given the epidemiologic and demographic transition taking place in Iran, this study aimed to investigate trends of incidence and morphology of prostate cancer during 2003 - 2008 in the country. Materials and Methods: Data were collected retrospectively reviewing all new prostate cancer patients in the Cancer Registry Center of the Health Deputy for Iran during a 6-year period. Also carcinoma, NOS and adenocarcinoma, NOS morphology were surveyed. Trends analysis of incidence and morphology was by joinpoint regression. Results: During the six years a total of 16,071 cases of prostate cancer were recorded in Iran. Most were adenocarcinomas at 95.2 percent. Trend analysis of incidence (ASR) There was a significant increase incidence, with annual percentage change (APC) of 17.3% and for morphology change percentage trends there was a significant decrease in adenocarcinoma with an APC of -1.24%. Conclusions: Prostate cancer is a disease of older men and the incidence is increasing in Iran. The most common morphology is adenocarcinoma this appears to be decreasing over time. Due to the changing lifestyles and the aging of the population, epidemiological studies and planning assessment of the etiology of prostate cancer and its early detection are essential.

Five Year Survival of Women with Breast Cancer in Yazd

  • Fallahzadeh, Hossein;Momayyezi, Mahdieh;Akhundzardeini, Razie;Zarezardeini, Sadegh
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권16호
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    • pp.6597-6601
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    • 2014
  • Background: Cancer is a non-communicable disease that is considered deadly in many cases. In recent years, the mortality rates from breast cancer have increased with increasing incidences. The present study was conducted to determine five year survival of women with breast cancer in Yazd, in the central region of Iran. Materials and Methods: In a prospective study, data were obtained from the patient's medical records with breast cancer that were referred to the Shahid Sadoughi hospital and radiotherapy center from 2002-2007 and followed up for 5 years. The data collected were analyzed by SPSS/16 and Kaplan-Meyer test and log-rank test and Cox proportional hazard model was used. Results: The mean age of breast cancer diagnosis was $48.3{\pm}11.7$ years. The 1-, 2-, 3-, 4- and 5-year cumulative survivals for breast cancer patients were 95%, 86%, 82%, 76% and 70%, respectively. There were significant differences with age distribution (p=0.006). A significant decrease in the 5-year survival in patients with involvement of lymph nodes was lso observed. Conclusions: Education for early diagnosis in women must be considered and these findings support the need for breast cancer screening programs.

Misclassification Adjustment of Family History of Breast Cancer in a Case-Control Study: a Bayesian Approach

  • Moradzadeh, Rahmatollah;Mansournia, Mohammad Ali;Baghfalaki, Taban;Ghiasvand, Reza;Noori-Daloii, Mohammad Reza;Holakouie-Naieni, Kourosh
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권18호
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    • pp.8221-8226
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    • 2016
  • Background: Misreporting self-reported family history may lead to biased estimations. We used Bayesian methods to adjust for exposure misclassification. Materials and Methods: A hospital-based case-control study was used to identify breast cancer risk factors among Iranian women. Three models were jointly considered; an outcome, an exposure and a measurement model. All models were fitted using Bayesian methods, run to achieve convergence. Results: Bayesian analysis in the model without misclassification showed that the odds ratios for the relationship between breast cancer and a family history in different prior distributions were 2.98 (95% CRI: 2.41, 3.71), 2.57 (95% CRI: 1.95, 3.41) and 2.53 (95% CRI: 1.93, 3.31). In the misclassified model, adjusted odds ratios for misclassification in the different situations were 2.64 (95% CRI: 2.02, 3.47), 2.64 (95% CRI: 2.02, 3.46), 1.60 (95% CRI: 1.07, 2.38), 1.61 (95% CRI: 1.07, 2.40), 1.57 (95% CRI: 1.05, 2.35), 1.58 (95% CRI: 1.06, 2.34) and 1.57 (95% CRI: 1.06, 2.33). Conclusions: It was concluded that self-reported family history may be misclassified in different scenarios. Due to the lack of validation studies in Iran, more attention to this matter in future research is suggested, especially while obtaining results in accordance with sensitivity and specificity values.

Survival Analysis of Patients with Breast Cancer using Weibull Parametric Model

  • Baghestani, Ahmad Reza;Moghaddam, Sahar Saeedi;Majd, Hamid Alavi;Akbari, Mohammad Esmaeil;Nafissi, Nahid;Gohari, Kimiya
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권18호
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    • pp.8567-8571
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    • 2016
  • Background: The Cox model is known as one of the most frequently-used methods for analyzing survival data. However, in some situations parametric methods may provide better estimates. In this study, a Weibull parametric model was employed to assess possible prognostic factors that may affect the survival of patients with breast cancer. Materials and Methods: We studied 438 patients with breast cancer who visited and were treated at the Cancer Research Center in Shahid Beheshti University of Medical Sciences during 1992 to 2012; the patients were followed up until October 2014. Patients or family members were contacted via telephone calls to confirm whether they were still alive. Clinical, pathological, and biological variables as potential prognostic factors were entered in univariate and multivariate analyses. The log-rank test and the Weibull parametric model with a forward approach, respectively, were used for univariate and multivariate analyses. All analyses were performed using STATA version 11. A P-value lower than 0.05 was defined as significant. Results: On univariate analysis, age at diagnosis, level of education, type of surgery, lymph node status, tumor size, stage, histologic grade, estrogen receptor, progesterone receptor, and lymphovascular invasion had a statistically significant effect on survival time. On multivariate analysis, lymph node status, stage, histologic grade, and lymphovascular invasion were statistically significant. The one-year overall survival rate was 98%. Conclusions: Based on these data and using Weibull parametric model with a forward approach, we found out that patients with lymphovascular invasion were at 2.13 times greater risk of death due to breast cancer.

Identification of genetic polymorphisms in FABP3 and FABP4 and putative association with back fat thickness in Korean native cattle

  • Cho, Seo-Ae;Park, Tae-Sung;Yoon, Du-Hak;Cheong, Hyun-Sub;Namgoong, Sohg;Park, Byung-Lae;Lee, Hye-Won;Han, Chang-Soo;Kim, Eun-Mi;Cheong, Il-Cheong;Kim, Hee-Bal;Shin, Hyoung-Doo
    • BMB Reports
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    • 제41권1호
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    • pp.29-34
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    • 2008
  • The aim of this study was to determine whether single nucleotide polymorphisms (SNP) in the beef cattle adipocyte fatty-acid binding protein 3 and 4 (FABP3 and FABP4) genes are associated with carcass weight (CW) and back fat thickness (BF) of beef cattle. By direct DNA sequencing in 24 unrelated Korean native cattle, we identified 20 SNPs in FABP3 and FABP4. Among them, 10 polymorphic sites were selected for genotyping in our beef cattle. We performed SNP, haplotype and linkage disequilibrium studies on 419 Korean native cattle with the 10 SNPs in the FABP genes. Statistical analysis revealed that 220A>G (I74V) and 348+303T>C polymorphisms in FABP4 showed putative associations with BF traits (P=0.02 and 0.01, respectively). Our findings suggest that the polymorphisms in FABP4 may play a role in determining one of the important genetic factors that influence BF in beef cattle.

Bayesian Survival Analysis of High-Dimensional Microarray Data for Mantle Cell Lymphoma Patients

  • Moslemi, Azam;Mahjub, Hossein;Saidijam, Massoud;Poorolajal, Jalal;Soltanian, Ali Reza
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권1호
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    • pp.95-100
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    • 2016
  • Background: Survival time of lymphoma patients can be estimated with the help of microarray technology. In this study, with the use of iterative Bayesian Model Averaging (BMA) method, survival time of Mantle Cell Lymphoma patients (MCL) was estimated and in reference to the findings, patients were divided into two high-risk and low-risk groups. Materials and Methods: In this study, gene expression data of MCL patients were used in order to select a subset of genes for survival analysis with microarray data, using the iterative BMA method. To evaluate the performance of the method, patients were divided into high-risk and low-risk based on their scores. Performance prediction was investigated using the log-rank test. The bioconductor package "iterativeBMAsurv" was applied with R statistical software for classification and survival analysis. Results: In this study, 25 genes associated with survival for MCL patients were identified across 132 selected models. The maximum likelihood estimate coefficients of the selected genes and the posterior probabilities of the selected models were obtained from training data. Using this method, patients could be separated into high-risk and low-risk groups with high significance (p<0.001). Conclusions: The iterative BMA algorithm has high precision and ability for survival analysis. This method is capable of identifying a few predictive variables associated with survival, among many variables in a set of microarray data. Therefore, it can be used as a low-cost diagnostic tool in clinical research.

Relative Survival of Breast Cancer Patients in Iran

  • Kasaeian, Amir;Mosavi-Jarrahi, Alireza;Abadi, Alireza;Mahmoodi, Mahmood;Mehrabi, Yadollah;Mohammad, Kazem;Eshraghian, Mohammad Reza;Zare, Ali
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권14호
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    • pp.5853-5858
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    • 2015
  • Background: The survival rate reflecting prognosis of breast cancer patients is usually estimated based on crude survival methods such as observed and cause-specific. In situations where data are based on population-cancer registries, this method may produce biased estimations. This study therefore aimed to estimate the net survival of breast cancer based on relative survival. Materials and Methods: Data for 622 breast cancer patients diagnosed at the Iran Cancer Institute during 1990-95 and tracked till the end of 2000 were analyzed. For estimation of relative survival, Ederer's second method and SAS (9.1) and STATA (11) software were used. Results: Threeyear relative survivals of 85%, 90%, 80% and 67% were observed for age groups 15-44, 55-59, 60-74, and 75+years-old, respectively. A relative survival of approximately one was observed for two subsequent years for age-group 45-59 years-old. A value greater than one for two subsequent years of follow-up was observed in the age-group 60-74 years-old. Conclusions: Tracking the diagnosis of breast cancer, the relative survival decreases as we go to higher age-groups. It is also perceived that through follow-up, relative survival first decreased and then increased a little. The statistical cure point is acceptable for age group 45-59 years-old while for age-groups 15-44 and 60-74 years old is a sign of low quality data for some follow-up intervals.