Risk Factors of Breast Cancer in Indian Context

2012 ◽  
Vol 3 (3) ◽  
pp. 1-9
Author(s):  
Biswa Bandita ◽  
Dipti Mohanty ◽  
S. K. Pradhan ◽  
S. N. Rath ◽  
Madhusmita Sahu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Cancer Diagnosis ◽  
Delayed Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Cancer Risks ◽  
Upward Trend ◽  
Screening Programs ◽  
Indian Context ◽  
Common Malignancy

The upward trend in breast cancer globally and in India has become a matter of great concern. Breast cancer is the most common malignancy among women globally. The objective of the authors’ study was to explore the various risk factors of breast cancer in among women in an Indian context. A search was performed using the search engine Pubmed during years 2005-2011 using key words risk factor and breast cancer and India. They searched criteria found 16 final analyzable articles. Results of the review showed high mortality due to late stage breast cancer diagnosis as women usually present at an advanced stage. The results showed that the predominant reason was because of lack of awareness about the risk factors of breast cancer and non-existence of breast cancer screening programs. Financial and social reasons were other factors that resulted in delay in seeking advice for this problem resulting in its delayed diagnosis. Educational awareness might be an effective tool for modifying lifestyles and thereby reducing breast cancer risks.

scholarly journals Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors

2020 ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Sick Leave ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Age At Diagnosis ◽  
Breast Cancer Patients ◽  
After Cancer

Abstract Background The number of breast cancer patients of working age is increasing in Japan . Consequently, there is a need for support for working individuals concomitantly undergoing breast cancer treatment. The present study aimed to clarify the risk factors for resignation and taking sick leave among breast cancer survivors in continued employment at the time of diagnosis. Methods As part of a Japanese national research project (Endo-Han), the investigators conducted a web-based survey of cancer survivors (CSs) in 2018. The investigators analyzed the risk factors for post-breast cancer diagnosis resignation and sick leave using a logistic regression model, including age at diagnosis, educational level, cancer stage, surgery, pharmacotherapy, radiotherapy, employment status, and occupational type. Results 40 of 269 breast cancer survivors (14.9%) quit their job after cancer diagnosis. Predictors of resignation included lower education level (odds ratio [OR]: 3.802; 95%CI: 1.233-11.729), taking sick leave (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998). Of 229 patients who continued working, sick leave was taken by 72 (31.4%); having surgery was a predictor for taking sick leave (OR: 8.311; 95%CI: 1.007-68.621). Conclusions 14.9% of Japanese employees quit their jobs after being diagnosed with breast cancer. Being younger at breast cancer diagnosis, having lower educational attainment level, and utilizing sick leave were identified as predictors of post-cancer diagnosis resignation. Surgery was associated with the highest risk of taking sick leave. Breast cancer survivors exhibit higher risks for resignation, and may require more carefully follow-up after diagnosis by healthcare providers and employers to protect work sustainability.

Role of Clinical and Imaging Risk Factors in Predicting Breast Cancer Diagnosis Among BI-RADS 4 Cases

2019 ◽  
Vol 19 (1) ◽  
pp. e142-e151 ◽  
Author(s):  
William Hsu ◽  
Xinkai Zhou ◽  
Antonia Petruse ◽  
Ngan Chau ◽  
Stephanie Lee-Felker ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis

scholarly journals P15-2 Risk factors and barriers of early breast cancer diagnosis and treatment outcome in Bangladesh

2021 ◽  
Vol 32 ◽  
pp. S336
Author(s):  
Abdullah Al Mamun Khan ◽  
Parveen Shahida Akhtar ◽  
Md Yeaqub Ali ◽  
Nazrina Khatun ◽  
Muhammed Jahangir Alam ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Treatment Outcome ◽  
Early Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Diagnosis And Treatment

Deterioration of Physical Activity Level and Metabolic Risk Factors After Early-Stage Breast Cancer Diagnosis

2015 ◽  
Vol 38 (4) ◽  
pp. E1-E9 ◽  
Author(s):  
Aude-Marie Foucaut ◽  
Sophie E. Berthouze ◽  
Marina Touillaud ◽  
Magali Morelle ◽  
Valérie Bourne-Branchu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Risk Factors ◽  
Cancer Diagnosis ◽  
Physical Activity Level ◽  
Early Stage ◽  
Breast Cancer Diagnosis ◽  
Activity Level ◽  
Early Stage Breast Cancer ◽  
Metabolic Risk

scholarly journals Impact of the COVID-19 pandemic on breast cancer diagnosis

Mastology ◽  
2020 ◽  
Vol 30 ◽  
Author(s):  
Cícera Chaves Lôbo ◽  
Luiz Gonzaga Porto Pinheiro ◽  
Paulo Henrique Diógenes Vasques
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Delayed Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Diagnosis And Treatment ◽  
Control Objective ◽  
Screening Coverage ◽  
Reference Service ◽  
The Impact ◽  
Series Study

Introduction: In 2020, a total of 2,510 new cases of breast cancer were estimated in Ceará State, 14% above the figures of 2019. In the context of the COVID-19 pandemic, postponing screening and assessing the risks and benefits of elective procedures was needed, rescheduled until after their control. Objective: We sought to identify the impact of the COVID-19 pandemic in the care of a Reference Service for Breast Cancer Diagnosis. Methods: Time series study, with analysis of the production of the consultations carried out from March to June of the current year in a service located in Fortaleza City, Ceará State. Results: There was a reduction of up to 84% in the services offered, with emphasis on mammography and ultrasound procedures, with 95 and 100%, respectively. The diagnosis of new cases and the performance of surgeries reduced by up to 60 and 56%, respectively. The months with the greatest impact were April and May, with a progressive resumption in June. Conclusion: The study evaluated a reference service of relevance in the state reality. Considering that many cases are identified during screening, postponing mammograms contributed to a delayed diagnosis. The findings are believed to pose severe consequences, considering the annual increase in the incidence of the disease, the low screening coverage, the high number of cases in advanced staging, the ascending mortality, and the low supply of diagnostic services. Diverting attention exclusively to the pandemic represents a worldwide challenge, but cancer is an important cause of morbidity and mortality, and cannot be neglected. There is concern that delaying screening, diagnosis, and treatment of breast cancer may cost more lives than COVID-19 itself. Post-pandemic requires planning to promote harm reduction resulting from the delay in the diagnosis and treatment of the repressed demand, in a disaggregated and overloaded system.

scholarly journals Predictors of resignation and sick leave after cancer diagnosis among Japanese breast cancer survivors

2020 ◽  
Author(s):  
Kiyomi Mitsui ◽  
Motoki Endo ◽  
Yuya Imai ◽  
Yuito Ueda ◽  
Hiroko Ogawa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Sick Leave ◽  
Cancer Survivors ◽  
Cancer Diagnosis ◽  
Breast Cancer Survivors ◽  
Breast Cancer Diagnosis ◽  
Age At Diagnosis ◽  
Breast Cancer Patients ◽  
After Cancer

Abstract Background The number of breast cancer patients of working age is increasing in Japan . Consequently, there is a need for support for working individuals concomitantly undergoing breast cancer treatment. The present study aimed to clarify the risk factors for resignation and taking sick leave among breast cancer survivors in continued employment at the time of diagnosis. Methods As part of a Japanese national research project (Endo-Han), the investigators conducted a web-based survey of cancer survivors (CSs) in 2018. The investigators analyzed the risk factors for post-breast cancer diagnosis resignation and sick leave using a logistic regression model, including age at diagnosis, educational level, cancer stage, surgery, pharmacotherapy, radiotherapy, employment status, and occupational type. Results 40 of 269 breast cancer survivors (14.9%) quit their job after cancer diagnosis. Predictors of resignation included lower education level (odds ratio [OR]: 3.802; 95%CI: 1.233-11.729), taking sick leave (OR: 2.514; 95%CI: 1.202-5.261), and younger age at diagnosis (OR: 0.470; 95%CI: 0.221-0.998). Of 229 patients who continued working, sick leave was taken by 72 (31.4%); having surgery was a predictor for taking sick leave (OR: 8.311; 95%CI: 1.007-68.621). Conclusions 14.9% of Japanese employees quit their jobs after being diagnosed with breast cancer. Being younger at breast cancer diagnosis, having lower educational attainment level, and utilizing sick leave were identified as predictors of post-cancer diagnosis resignation. Surgery was associated with the highest risk of taking sick leave. Breast cancer survivors exhibit higher risks for resignation, and may require more carefully follow-up after diagnosis by healthcare providers and employers to protect work sustainability.

Risk factors for an advanced breast cancer diagnosis within 2 years of a negative mammogram

Cancer ◽  
2021 ◽  
Author(s):  
Anne Marie McCarthy ◽  
Sarah Ehsan ◽  
Scott Appel ◽  
Michaela Welch ◽  
Wei He ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Advanced Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Advanced Breast

scholarly journals Altered cfDNA Fragmentation Profile in Hypomethylated Regions as Diagnostic Marker in Breast Cancer

2021 ◽  
Author(s):  
Jun Wang ◽  
Ming Yang ◽  
Mingyang Su ◽  
Lirong Shu ◽  
Hongxian Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Fragmentation Pattern ◽  
Healthy Individuals ◽  
Base Pairs ◽  
Nuclease Digestion ◽  
Mean Size ◽  
Genomic Regions ◽  
Common Malignancy

Abstract Backgroud: Breast cancer, the most common malignancy in women, has been proved to have both altered plasma cell-free DNA (cfDNA) methylation and fragmentation profiles, nevertheless, simultaneously detecting both of them for breast cancer diagnosis has never been reported. Moreover, although fragmentation pattern of cfDNA is determined by nuclease digestion of chromatin, structure of which may be affected by DNA methylation, whether cfDNA methylation and fragmentation are biologically related or not still remains unclear.Methods: Improved cfMeDIP-seq were utilized to characterize both cfDNA methylation and fragmentation profiles in 25 plasma samples from both healthy individuals and patients with breast cancer. The feasibility of using cfDNA fragmentation profile in hypo- and hyper- methylated regions as diagnostic markers for breast cancer was evaluated. Results: Mean size of cfDNA fragments ranging from 100 to 220 base pairs (bp) was found to increase from 170.06 (Input libraries) to 173.04 (IP libraries) bp in healthy individuals, which was not observed in patients with breast cancer (170.51 to 170.71 bp). Furthermore, mean size of cfDNA fragments mapped to hypomethylated regions decreased more win patients with breast cancer (4.60 bp, 172.33 bp in hypermethylated regions to 167.73 bp in hypomethylated regions) than healthy individuals (2.87 bp, 174.54 bp in hypermethylated regions to 171.67 bp in hypomethylated regions). The feasibility of using abnormality of short cfDNA fragments ratio in hypomethylated genomic regions for diagnosis of breast cancer in validation cohort was evaluated. 7 out of 11 patients were detected as having breast cancer (63.6% sensitivity), whereas no healthy individuals were mis-detected (100% specificity). Conclusion: We identified enriched short cfDNA fragments after 5mC-immunoprecipitation (IP) in patients with breast cancer, and demonstrated the enriched short cfDNA fragments might originated from hypomethylated genomic regions. Furthermore, we proved the feasibility of using differentially methylated regions (DMRs)-dependent cfDNA fragmentation profile for breast cancer diagnosis.

Risk factors for arm lymphedema following breast cancer diagnosis in Black women and White women

2008 ◽  
Vol 113 (2) ◽  
pp. 383-391 ◽  
Author(s):  
Kathleen A. Meeske ◽  
Jane Sullivan-Halley ◽  
Ashley W. Smith ◽  
Anne McTiernan ◽  
Kathy B. Baumgartner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Black Women ◽  
Cancer Diagnosis ◽  
White Women ◽  
Breast Cancer Diagnosis ◽  
Arm Lymphedema
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