• Asian Pacific Journal of Cancer Prevention
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• v.16 no.13
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• pp.5433-5438
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• 2015

Background: Systemic chemotherapy for patients with metastatic gastric cancer (MGC) is generally palliative, although some patients experience long-term survival after treatment. Thus, we identified clinical characteristics that are associated with long-term survival of patients with MGC after palliative chemotherapy. Materials and Methods: We retrospectively reviewed 514 MGC patients who received systemic chemotherapy at our institution from 2001 to 2008. To identify clinical predictors of survival beyond 2 years, multivariate logistic regression analyses were performed, and 5-year survival rates were estimated among MGC patients following chemotherapy. Results: Among 514 patients, 96 (19%) and 16 (3%) survived beyond 2 and 5 years, respectively, and performance status of 0 or 1 (odds ratio [OR]=3.39; p=0.01), previous gastrectomy (OR=1.86; p=0.01), single metastatic site (OR=1.80; p=0.03), and normal alkaline phosphatase levels (OR=2.81; p<0.01) were identified as independent predictors of long-term survival. Of the 16 5-year survivors, six were alive at the end of the study and showed no evidence of disease despite cessation of chemotherapy. Conclusions: The present data demonstrate distinct clinical characteristics that are associated with long-term survival of MGC patients, and indicated that palliative chemotherapy can be curative in highly selected patients.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6287-6293
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• 2014

Background: Invasion of breast cancer cells into blood and lymphatic vessels is one of the most important steps for metastasis. In this study the prognostic relevance of lymphangiogenesis and lymphovascular invasion (LVI) in breast cancer patients was evaluated in terms of survival. Materials and Methods: This retrospective study concerned 518 breast cancer patients who were treated at Department of Surgical Oncology, Saroj Gupta Cancer Centre and Research Institute, Kolkata-700063, West Bengal, India, a reputed cancer centre and research institute of eastern India between January 2006 and December 2007. Results: The median overall survival and disease free survival of the patients were 60 months and 54 months respectively. As per Log-rank test, poor overall as well as disease free survival pattern was observed for LVI positive patients as compared with LVI negative patients (p<0.01). Also poor overall as well as disease free survival pattern was observed for perineural invasion (PNI) positive patients as compared to PNI negative patients (p<0.01). Conclusions: From this study it is evident that LVI and PNI are strongly associated with outcome in terms of disease free as well as overall survival in breast cancer patients. Thus LVI and PNI constitute potential targets for treatment of breast cancer patients. We advocate incorporating their status into breast cancer staging systems.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.10
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• pp.5811-5816
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• 2013

Background: Breast cancer is the most common cancer among women. Molecular subtypes are important in determining prognosis. This study evaluated five-year disease-free survival among four molecular subtypes in patients with early stages of breast cancer. Materials and Methods: In this retrospective descriptive-analytical study, information on patients with breast cancer between 2001-2010 was evaluated. Five hundred ninety two patients in the early stages of breast cancer (stages 1 and 2) were selected to undergo anthracycline-based chemotherapy. Relapse, death or absence (censor) were considered as the end of the study. Patients based on ER, PR and HER-2 expression were divided into four subtypes (luminal A, luminal B, HER-2 enriched and triple negative). Information based upon questionnaire was analysed. To show the patients survival rate, life table and Kaplan-Meyer methods were used, and for comparing mean survival among different groups, the Log-Rank test was utilized. Results: Mean age at diagnosis was $47.9{\pm}9.6$. Out of the 592 patients, 586 were female (99%) and 6 were male (1%). Considering breast cancer molecular subtypes, 361 patients were in the luminal A group (61%), 49 patients in the luminal B group (8.3%), 48 patients in the HER-2 enriched group (8.1%) and 134 in the triple negative group (22.6%). Mean disease-free survival was 53.7 months overall, 55.4 months for the luminal A group, 48.3 months for the luminal B group, 43 months for the HER-2enriched group and 54.6 months for the triple negatives. Disease free survival differed significantly among the molecular subtypes (p value=0.0001). Conclusions: The best disease-free survival rate was among the luminal A subgroup and the worst disease-free survival rate was among the HER-2 enriched subgroup. Disease free survival rate in the HER-2 positive groups (luminal B and HER-2 enriched) was worse than the HER-2 negative groups (luminal A and triple negative).

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.2223-2227
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• 2016

Background: Breast cancer is the most common cancer among Iranian women. Since development of the disease in Iranian women occurs relatively early, the survival rate matters considerably. In different countries, survival of breast cancer patients varies considerably. Therefore, the one-year, three-year, five-year, and ten-year survival rates for breast cancer in Iran were assessed using a meta-analysis. Materials and Methods: This systematic review and meta-analysis was based on valid Iranian sources including SID, MAGIRAN and IRANMEDEX, along with reliable English databases, namely, PUBMED and SCOPUS. In domestic databases, a search was conducted based on key words of breast cancer and survival rate, and in international databases, with "breast cancer" and the equivalent of "neoplasm" of Mesh Word, "survival rate" and "Iran." Then all reviewed papers and theses which met the inclusion criteria were selected for investigation. To conduct the analysis STATA 11.2 software and random-effects models were used. Results: In 24 studies, 22,745 participants were included. The one-year, three-year, five-year and ten-year survival rates were 0.956, 0.808, 0.695 and 0.559, respectively. The minimum and maximum survival rates for 5-years were 0.48 and 0.87. The average age of the onset of the disease was 48.3. Conclusions: As in Iran, since the onset of the disease is at low age, in spite of the relatively high survival rate as compared to other cancers, prevention and screening programs at early age for early stage diagnosis seems necessary.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.5-10
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• 2016

Breast cancer, the second cause of cancer-related death after lung cancer and the most common cancer in women after skin cancer, is curable if detected in early stages of clinical presentation. Knowledge as to any age cut-off points which might have significance for prognostic groups is important in screening and treatment planning. Therefore, determining a change-point could improve resource allocation. This study aimed to determine if a change point for survival might exist in the age of breast cancer diagnosis. This study included 568 cases of breast cancer that were registered in Breast Cancer Research Center, Tehran, Iran, during the period 1986-2006 and were followed up to 2012. In the presence of curable cases of breast cancer, a change point in the age of breast cancer diagnosis was estimated using a mixture survival cure model. The data were analyzed using SPSS (versions 20) and R (version 2.15.0) software. The results revealed that a change point in the age of breast cancer diagnosis was at 50 years age. Based on our estimation, 35% of the patients diagnosed with breast cancer at age less than or equal to 50 years of age were cured while the figure was 57% for those diagnosed after 50 years of age. Those in the older age group had better survival compared to their younger counterparts during 12 years of follow up. Our results suggest that it is better to estimate change points in age for cancers which are curable in early stages using survival cure models, and that the cure rate would increase with timely screening for breast cancer.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.32 no.6
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• pp.537-543
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• 2010

Purpose: The objective of this study is to evaluate the survival rate and influencing factors. Patients and Methods: We studied 104 patients who were diagnosed for squamous cell carcinoma of tongue and received curative treatment in oral oncology clinic of National Cancer Center from June 2001 to December 2009. Results: We found the following results. 1. The overall 5-year survival rate of tongue cancer was 67.0% and there was no significant statistical difference between male and female. 2. A lower survival rate was shown in patients under 40 years (42.2%) than over 40 years (75.5%)(P < 0.05). 3. 5-year survival rates of patients with tongue cancer classified by pTNM classification were 87.4% in early stage and 43.3% (P < 0.05). 4. A higher survival rate was seen in patients without cervical lymph node metastasis (82.0% > 44.1%)(P < 0.05). 5. A higher survival rate was seen in patients of tongue cancer with higher differenciation grade (P < 0.05). 6. It is well known that drinking and smoking have great influence on the survival rate of patients of squamous cell carcinoma of tongue. But these was no statistical significance. Conclusion: The overall 5-year survival rate of tongue cancer was 67.0% and it was mostly influenced by factors like age, pTNM stage, cervical lymph node metastasis, differentiation of cancer cell etc.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1105-1109
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• 2012

Breast cancer is the second most common cancer in women in India and the disease burden is increasing annually. The lack of awareness initiatives, structured screening, and affordable treatment facilities continue to result in poor survival. We present a breast cancer survival scenario, in urban population in India, where standardised care is distributed equitably and free of charge through an employees' healthcare scheme. We studied 99 patients who were treated at our hospital during the period 2005 to 2010 and our follow-up rates were 95.95%. Patients received evidence-based standardised care in line with the tertiary cancer centre in Mumbai. One-, three- and five-year survival rates were calculated using Kaplan-Meier method. Socio-demographic, reproductive and tumor factors, relevant to survival, were analysed. Mortality hazard ratios (HR) were calculated using Cox proportional hazard method. Survival in this series was compared to that in registries across India and discrepancies were discussed. Patients mean age was 56 years, mean tumor size was 3.2 cms, 85% of the tumors belonged to T1 and T2 stages, and 45% of the patients belonged to the composite stages I and IIA. Overall 5-year survival was 74.9%. Patients who presented with large-sized tumors (HR 3.06; 95% CI 0.4-9.0), higher composite stage (HR 1.91; 0.55-6.58) and undergone mastectomy (HR 2.94; 0.63-13.62) had a higher risk of mortality than women who had higher levels of education (HR 0.25; 0.05-1.16), although none of these results reached the significant statistical level. We observed 25% better survival compared to other Indian populations. Our results are comparable to those from the European Union and North America, owing to early presentation, equitable access to standardised free healthcare and complete follow-up ensured under the scheme. This emphasises that equitable and affordable delivery of standardised healthcare can translate into early presentation and better survival in India.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2595-2598
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• 2013

Background: Prostate cancer is common in elderly men, especially in western countries, and incidences are rising in low-risk populations as well. In India, the age-standardized rates vary between registries. Under these circumstances we have estimated the survival of prostate cancer patients based on age, family history, diabetes, hypertension, tobacco habit, clinical extent of disease (risk group) and treatment received. Materials and Methods: The present retrospective study was carried out at the Tata Memorial Hospital (TMH), Mumbai, India. During years 1999-2002, some 850 prostate cancer cases, including 371 new cases, treated in TMH were considered as eligible entrants for the study. Five-year survival rates using actuarial and loss-adjusted (LAR) method were estimated. Results: The patient population was distributed uniformly over the three age groups. A larger proportion of the patients were diagnosed at 'metastatic stage' and hormone treatment was most common. 20% patients had history of diabetes and 40% with hypertension. The 5-year overall survival rate was 64%. Survival was 55%, 74% and 52% for '<59 years','60-69 years' and '>70 years' respectively. Non-diabetic (70%), hypertensive (74%), with family history (80%) of cancer, with localized-disease (91%) and treated with surgery, either alone or in combination, (91%) had better survival. Conclusions: The present study showed that prostate cancer patients with localized disease at diagnosis experience a better outcome. Local treatment with either surgery or radiation achieves a reasonable outcome in prostate cancer patients. A detailed study will help in understanding the prognostic indicators for survival especially with the newer treatment technologies available now.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.19
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• pp.8401-8404
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• 2014

Background: To determine survival times of cervical cancer patients with bone metastasis related to the effect of age at the time of cervical cancer diagnosis, we performed the retrospectively analytical study. Methods: A total of 68 cervical cancer patients with bone metastasis were treated at a single hospital, during January 1998 to December 2010. Fifty-two medical records were identified and collected, the remaining sixteen medical records were not found. Main outcome measures were patient characteristics, clinical information, duration from cervical cancer diagnosis to bone metastasis diagnosis, survival time after bone metastasis and overall survival time. Results: Among fifty-two cervical cancer patients with bone metastasis, there were 13 patients who were less than 45 years old, and 39 patients were 45 years old or more at the time of cervical cancer diagnosis. The younger group had less median overall survival than the older group, with a statistically significant difference (21 months, 95% CI 19.93-22.06; 34 months, 95% CI 23.27-44.72, p = 0.021). However, they were comparable in the duration from cervical cancer diagnosis to bone metastasis diagnosis and the survival time after bone metastasis. Conclusion: Young patients with bone metastasis aged less than 45 years old at the time of cervical cancer diagnosis have a poorer prognosis than the elderly patients. Impact: To improve survival and quality of life, more intensive and novel multimodal treatments at the time of cervical cancer diagnosis should be considered in patients less than forty-five years, who can tolerate the side effects better.

• Korean Journal of Artificial Intelligence
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• v.6 no.2
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• pp.11-15
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• 2018

Breast cancer is one of the leading causes of cancer related death among women. So prediction of overall survival status is important into decided in adjuvant treatment. Deep belief network is a kind of artificial intelligence (AI). We intended to construct prediction model by deep belief network using associated clinicopathologic factors. 103881 cases were found in the Korean Breast Cancer Registry. After preprocessing of data, a total of 15733 cases were enrolled in this study. The median follow-up period was 82.4 months. In univariate analysis for overall survival (OS), the patients with advanced AJCC stage showed relatively high HR (HR=1.216 95% CI: 0.011-289.331, p=0.001). Based on results of univariate and multivariate analysis, input variables for learning model included 17 variables associated with overall survival rate. output was presented in one of two states: event or cencored. Individual sensitivity of training set and test set for predicting overall survival status were 89.6% and 91.2% respectively. And specificity of that were 49.4% and 48.9% respectively. So the accuracy of our study for predicting overall survival status was 82.78%. Prediction model based on Deep belief network appears to be effective in predicting overall survival status and, in particular, is expected to be applicable to decide on adjuvant treatment after surgical treatment.