scholarly journals Survival rates of breast cancer and predictive factors: a hospital-based study from western Amazon area in Brazil

2019 ◽  
Vol 24 (1) ◽  
pp. 261-273 ◽  
Author(s):  
Ruth Helena Pimenta Fujimoto ◽  
Rosalina Jorge Koifman ◽  
Ilce Ferreira da Silva
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Cox Regression ◽  
Survival Rates ◽  
Breast Cancer Survival ◽  
Cancer Specific Survival ◽  
Risk Of Death ◽  
Kaplan Meier ◽  
Medical Reports ◽  
Survival Studies

Abstract Breast cancer survival in Latin America countries is below Central European countries. Hospital-based breast cancer survival studies in western Amazon, Brazil, are lacking. This article aims to estimate hospital-based breast cancer survival in Rio Branco, Acre, and predictor factors. Hospital-based cohort study of all women diagnosed with breast cancer (2007-2012) was proceeded. Information were obtained from medical reports, and follow-up was until 2013. One-, 2- and 5- years breast cancer specific-survival were estimated by Kaplan-Meier method. Crude and adjusted Harzards Ratios (HR) were estimated by proportional Cox regression model. One-, 2-, and 5-year overall breast cancer survival were 95.5%, 83.7%, and 87.3% respectively. Surgery combined to radiotherapy significantly affected 1-, 2-, and 5-year survival (99%, 94%, and 90.6%, respectively) as compared to other treatments (77%,57.1%, and 37.5%, respectively). Comparing to surgery combined to radiotherapy treatment, surgery alone increased the risk of death, independently of age and stage (HR = 7.23;95%CI:2.29-22.83). In Rio Branco, Acre, 5-year breast cancer survival is similar to more developed areas in Brazil. Surgery combined to radiotherapy was independently associated to a lower risk of death as compared to surgery alone and other treatment.

scholarly journals Breast Cancer Survival in the Mammography Era in Brazil: A Population-Based Analysis of 2,715 Cases

2021 ◽  
Author(s):  
Juliana Fernandes ◽  
Beatriz Machado ◽  
Cassio Cardoso-Filho ◽  
Juliana Nativio ◽  
Cesar Cabello ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Survival Rates ◽  
Population Based ◽  
Breast Cancer Survival ◽  
Stage I ◽  
Current Status ◽  
Breast Cancers ◽  
Risk Of Death ◽  
Significant Difference

Abstract Background This study aims to assess breast cancer survival rates after one decade of mammography in a large urban area of Brazil. Methods It is a population-based retrospective cohort of women with breast cancer in Campinas, São Paulo, from 2010 to 2014. Age, vital status and stage were accessed through the cancer and mortality registry, and patients records. Statistics used Kaplan-Meier, log-rank and Cox's regression. Results Out of the 2,715 cases, 665 deaths (24.5%) were confirmed until early 2020. The mean age at diagnosis was 58.6 years. Women 50-69 years were 48.0%, and stage I the most frequent (25.0%). The overall mean survival was 8.4 years (8.2-8.5). The 5-year survival (5yOS) for overall, 40-49, 50-59, 60-69, 70-79 years was respectively 80.5%, 87.7%, 83.7%, 83.8% and 75.5%. The 5yOS for stages 0, I, II, III and IV was 95.2%, 92.6%, 89.4%, 71.1% and 47.1%. There was no significant difference in survival in stage I or II (p=0.058). Compared to women 50-59 years, death's risk was 2.3 times higher for women 70-79 years and 26% lower for women 40-49 years. Concerning stage I, the risk of death was 1.5, 4.1 and 8.6 times higher, and 34% lower, respectively, for stage II, III, IV and 0. Conclusions In Brazil, breast cancers are currently diagnosed in the early stages, although advanced cases persist. Survival rates may reflect improvements in screening, early detection and treatment. The results can reflect the current status of other regions or countries with similar health care conditions.

scholarly journals Identification of a Novel Glycolysis-Related Gene Signature for Predicting Breast Cancer Survival

2021 ◽  
Vol 10 ◽  
Author(s):  
Dai Zhang ◽  
Yi Zheng ◽  
Si Yang ◽  
Yiche Li ◽  
Meng Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Cox Regression ◽  
Gene Signature ◽  
Breast Cancer Survival ◽  
Breast Cancer Patients ◽  
Related Gene ◽  
Training Set ◽  
Cox Regression Analysis ◽  
Kaplan Meier

To identify a glycolysis-related gene signature for the evaluation of prognosis in patients with breast cancer, we analyzed the data of a training set from TCGA database and four validation cohorts from the GEO and ICGC databases which included 1,632 patients with breast cancer. We conducted GSEA, univariate Cox regression, LASSO, and multiple Cox regression analysis. Finally, an 11-gene signature related to glycolysis for predicting survival in patients with breast cancer was developed. And Kaplan–Meier analysis and ROC analyses suggested that the signature showed a good prognostic ability for BC in the TCGA, ICGC, and GEO datasets. The analyses of univariate Cox regression and multivariate Cox regression revealed that it’s an important prognostic factor independent of multiple clinical features. Moreover, a prognostic nomogram, combining the gene signature and clinical characteristics of patients, was constructed. These findings provide insights into the identification of breast cancer patients with a poor prognosis.

scholarly journals Survival of Women With Breast Cancer in Kaunas Region, Lithuania

Medicina ◽  
2012 ◽  
Vol 48 (5) ◽  
pp. 39 ◽  
Author(s):  
Rugilė Ivanauskienė ◽  
Jurgita Gedminaitė ◽  
Elona Juozaitytė ◽  
Giedrius Vanagas ◽  
Renata Šimoliūnienė ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Survival Rates ◽  
Breast Cancer Survival ◽  
European Countries ◽  
Disease Stage ◽  
Breast Cancer Patients ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Models ◽  
Advanced Disease Stage

Objective. The assessment of breast cancer survival rates and comparison with those of other countries may help to deepen knowledge among decision makers in the health care system and to improve the inequalities in accessibility to early detection and effective treatment. The aim of this study was to evaluate breast cancer survival rates in Kaunas region, Lithuania, and to compare them with those in the selected European countries. Material and Methods. A retrospective study was carried out using medical records and data gathered from the Lithuanian Cancer Registry. A group of 240 patients with primary breast cancer diagnosed in 2008 in Kaunas region was analyzed. All causes of death were included in the analysis. The closing date of follow-up was September 30, 2010. Survival was determined using the life-table method and the Kaplan-Meier method. Cox proportional hazard models were used to estimate the effects of prognostic risk factors on survival. Results. The median age of the patients was 63 years (range, 28–95). The 1-year and 2-year cumulative survival for breast cancer patients in Kaunas region, Lithuania, was 94.2% and 90.1%, respectively. As expected, the survival of patients with diagnosed advanced disease (stage III and IV) was significantly worse than that of patients with stage I (P<0.001) and II (P=0.003) disease. The screening group (aged 50–69 years) showed better survival in comparison with the group older than 69 years. Age, T4 tumor, and distant metastasis were the prognostic factors significantly associated with an increased relative mortality risk of breast cancer. Conclusions. Compared to the European survival rates, the 1-year and 2-year survival of patients with breast cancer in Lithuania was found to be similar to most European countries.

Breast cancer survival rates among Chinese women born in East Asia and the United States

2005 ◽  
Vol 15 (8) ◽  
pp. 634-634
Author(s):  
S CHUANG ◽  
W CHEN ◽  
M HASHIBE ◽  
G LI ◽  
P GANZ ◽  
...  
Keyword(s):  
Breast Cancer ◽  
United States ◽  
East Asia ◽  
Cancer Survival ◽  
Chinese Women ◽  
Survival Rates ◽  
The United States ◽  
Breast Cancer Survival

scholarly journals Identification and validation of prognostic signature for breast cancer based on genes potentially involved in autophagy

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9621
Author(s):  
Shanliang Zhong ◽  
Huanwen Chen ◽  
Sujin Yang ◽  
Jifeng Feng ◽  
Siying Zhou
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Cox Regression ◽  
Risk Group ◽  
Breast Cancer Survival ◽  
Low Risk ◽  
The Cancer Genome Atlas ◽  
Lasso Regression ◽  
Breast Cancer Patients ◽  
Prognostic Signature

We aimed to identify prognostic signature based on autophagy-related genes (ARGs) for breast cancer patients. The datasets of breast cancer were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Least absolute shrinkage and selection operator (LASSO) Cox regression was conducted to construct multiple-ARG risk signature. In total, 32 ARGs were identified as differentially expressed between tumors and adjacent normal tissues based on TCGA. Six ARGs (IFNG, TP63, PPP1R15A, PTK6, EIF4EBP1 and NKX2-3) with non-zero coefficient were selected from the 32 ARGs using LASSO regression. The 6-ARG signature divided patients into high-and low-risk group. Survival analysis indicated that low-risk group had longer survival time than high-risk group. We further validated the 6-ARG signature using dataset from GEO and found similar results. We analyzed the associations between ARGs and breast cancer survival in TCGA and nine GEO datasets, and obtained 170 ARGs with significant associations. EIF4EBP1, FOS and FAS were the top three ARGs with highest numbers of significant associations. EIF4EBP1 may be a key ARG which had a higher expression level in patients with more malignant molecular subtypes and higher grade breast cancer. In conclusion, our 6-ARG signature was of significance in predicting of overall survival of patients with breast cancer. EIF4EBP1 may be a key ARG associated with breast cancer survival.

Variations in Breast Cancer Survival Rates: A Systematic Review and Meta-Analysis of Data from the Entire Continent of Africa

2019 ◽  
Author(s):  
Paddy Ssentongo ◽  
Joseph A. Lewcun ◽  
Xavier Candela ◽  
Anna E. Ssentongo ◽  
Eustina G. Kwon ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Cancer Survival ◽  
Meta Analysis ◽  
Survival Rates ◽  
Breast Cancer Survival

scholarly journals Association between age and survival in a cohort of Brazilian patients with operable breast cancer

2015 ◽  
Vol 31 (8) ◽  
pp. 1732-1742 ◽  
Author(s):  
Débora Balabram ◽  
Cassio M. Turra ◽  
Helenice Gobbi
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Minas Gerais ◽  
Breast Cancer Survival ◽  
Breast Cancer Patients ◽  
Cancer Specific Survival ◽  
Cox Models ◽  
Hazard Ratios ◽  
Belo Horizonte ◽  
The Relationship

Whether age is an independent prognostic factor in breast cancer is a matter of debate. This is a retrospective cohort study of 767 breast cancer patients, stages I-III, treated at the Hospital das Clínicas, Minas Gerais Federal University, Belo Horizonte, Minas Gerais State, Brazil, from 2001 to 2008, aiming to study the relationship between age and survival. We included variables related to patients, tumors, and types of treatment. Different sets of Cox models were used for survival analysis. Hazard ratios (HR) and 95%CI were calculated. The relationship between age and breast cancer survival did not change substantially in any of them. In the model that accounted for all variables, women aged 70 and older (HR = 1.51, 95%CI: 1.04-2.18), and 35 or younger (HR = 1.78, 95%CI: 1.05-3.01) had shorter cancer specific survival than patients aged between 36 and 69. In addition, older age, having at least one comorbidity, and being white were associated with a higher risk of dying from other causes. In conclusion, shorter breast cancer survival is expected among the youngest and oldest patients.

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