Adjuvant radiotherapy for breast cancer as a risk factor for the development of lung cancer

AbstractAdjuvant radiotherapy (RT) for breast cancer (BC) has been associated with an increased risk of later radiation-induced lung cancer (LC). We examined the risk of primary LC in a population-based cohort of 52300 women treated for BC during 1992 to 2012, and 253796 age-matched women without BC. Cumulative incidence of LC was calculated by the Kaplan–Meier method, and the risk of LC after BC treatment was estimated by Cox proportional hazards regression analyses. Women with BC receiving RT had a higher cumulative incidence of LC compared to women with BC not receiving RT and women without BC. This became apparent 5 years after RT and increased with longer follow-up. Women with BC receiving RT had a Hazard ratio of 1.59 (95% confidence interval 1.37–1.84) for LC compared to women without BC. RT techniques that lower the incidental lung doses, e.g breathing adaption techniques, may lower this risk.

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Hyperinsulinemia a Risk Factor for Breast Cancer

Internal Medicine News ◽

10.1016/s1097-8690(09)70421-4 ◽

2009 ◽

Vol 42 (12) ◽

pp. 6

Author(s):

BRUCE JANCIN

Keyword(s):

Breast Cancer ◽

Risk Factor

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Breast Cancer Screening Among Women with Disabilities: Data from the California Behavioral Risk Factor Survey 2002

PsycEXTRA Dataset ◽

10.1037/e611922007-001 ◽

2004 ◽

Cited By ~ 1

Author(s):

Galatea King

Keyword(s):

Breast Cancer ◽

Risk Factor ◽

Cancer Screening ◽

Breast Cancer Screening ◽

Behavioral Risk ◽

Behavioral Risk Factor ◽

Women With Disabilities

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Nighttime Blue Light Exposure and Breast Cancer

Osteopathic Family Physician ◽

10.33181/13013 ◽

2021 ◽

pp. 30-33

Author(s):

David Jaynes ◽

Paul Switzer

Keyword(s):

Breast Cancer ◽

Risk Factor ◽

Blue Light ◽

Shift Work ◽

Light Exposure ◽

Night Shift ◽

Background Information ◽

Common Disease ◽

Essential Information ◽

Night Shift Work

The purpose of this article is to provide background information and the current understanding of a less familiar cause of female breast cancer; exposure to ultraviolet light at night. Breast cancer is a common disease that causes significant morbidity and mortality in women. There are several risk factors for breast cancer, most of which are genetic and environmental in nature. An often-overlooked risk factor is exposure to blue light during night shift work, which decreases melatonin production. One of the many cancer-preventing properties of melatonin is to limit estrogen production. Increased lifetime exposure to estrogen is a well-known cause of breast cancer. Awareness of nighttime blue light exposure as a breast cancer risk factor by women doing night shift work and those exposed to nighttime light via smartphones and laptops, is essential information to know so that protective measures can be taken.

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Perbandingan CART dan Random Forest untuk Deteksi Kanker berbasis Klasifikasi Data Microarray

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) ◽

10.29207/resti.v4i5.2083 ◽

2020 ◽

Vol 4 (5) ◽

pp. 805-812

Author(s):

Riska Chairunisa ◽

Adiwijaya ◽

Widi Astuti

Keyword(s):

Breast Cancer ◽

Lung Cancer ◽

Ovarian Cancer ◽

Random Forest ◽

Classification And Regression Tree ◽

Classification Method ◽

Discrete Wavelet ◽

Prostate Tumors ◽

Cancer Data ◽

Colon Tumors

Cancer is one of the deadliest diseases in the world with a mortality rate of 57,3% in 2018 in Asia. Therefore, early diagnosis is needed to avoid an increase in mortality caused by cancer. As machine learning develops, cancer gene data can be processed using microarrays for early detection of cancer outbreaks. But the problem that microarray has is the number of attributes that are so numerous that it is necessary to do dimensional reduction. To overcome these problems, this study used dimensions reduction Discrete Wavelet Transform (DWT) with Classification and Regression Tree (CART) and Random Forest (RF) as classification method. The purpose of using these two classification methods is to find out which classification method produces the best performance when combined with the DWT dimension reduction. This research use five microarray data, namely Colon Tumors, Breast Cancer, Lung Cancer, Prostate Tumors and Ovarian Cancer from Kent-Ridge Biomedical Dataset. The best accuracy obtained in this study for breast cancer data were 76,92% with CART-DWT, Colon Tumors 90,1% with RF-DWT, lung cancer 100% with RF-DWT, prostate tumors 95,49% with RF-DWT, and ovarian cancer 100% with RF-DWT. From these results it can be concluded that RF-DWT is better than CART-DWT.

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THE PREVALENCE OF HEPATITIS B REACTIVATION (HBV) IN CANCER PATIENTS TREATING WITH CHEMOTHERAPY

Journal of Medicine and Pharmacy ◽

10.34071/jmp.2016.1.9 ◽

2016 ◽

pp. 74-80

Author(s):

Phuong Phung ◽

Thi Thuy Nguyen

Keyword(s):

Breast Cancer ◽

Lung Cancer ◽

Hepatitis B ◽

Cancer Patients ◽

Positive Control ◽

High Dose ◽

Hbv Reactivation ◽

Endemic Region ◽

Hepatitis B Reactivation ◽

Cancer Breast

ackground and Objectives: Nowadays, the incidence of cancer is constantly increasing in the world as well as in Vietnam. The treatment of cancer is based on multimodality principle. Among those principal modalities, chemotherapy is widely used for different purposes such as neoadjuvant, andjuvant and palliation. However, chemotherapy can induce activation of latent infections, including hepatitis B. Vietnam is in the endemic region of hepatitis B so the reactivation of hepatitis B on cancer patients with chemotherapy has emerged a concerned problem. However, few interests were gained on this problem in the aspect of clinical setting or researching. Aims: to determine the prevalence of hepatitis B reactivation (HBV) in cancer patients treating with chemotherapy and to detect some risks factors of this situation. Subjects and methods: descriptive prospective. The study included 33 cancer patients with inactive HBV infection who are treating with chemotherapy. We define HBV reactivation by ALT > 3 ULN and HBV DNA copies > 10 positive control limit. Results: We found 6 patients with reactivated HBV, accounting for 18.18 %. Among reactivated HBV patients, age less than 60 accounts 83,33%. Rate of reactivated HBV in males was 25,00% while this rate in females was 14,28%. Rate of reactivated HBV in lymphoma, lung cancer and breast cancer was 33,33%, 25% và 22,22% respectively. Clinial manifestation of reactivated HBV includes jaundice (33,33%), fulminant hepatic failure (6%) and death (5%). The reactivated rate was higher in patients got high dose of corticoid (28,57%) vs low dose (15,38%). This rate was 29,41% in patients treated with anthracyclines which was higher than in group without anthracyclines. The reactivated rate of HBV was dramatically higher in patients treated with rituximab (75%). Conclusion: the reactivation of hepatitis B on cancer patients with chemotherapy is common. We found 6 patients with reactivated HBV of 33 subjects of the study which accounts 18.18 %. We recognized that reactivated HBV rate was higher subgroups of age < 60 years old, males, patients with lymphoma, lung cancer, breast cancer. Reactivated HBV may be more prevalent in patients with high-dose corticotherapy, anthracyclines and Rituximab. Key words: HBV reactivation, chemotherapy, cancer, hepatitis B

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Faculty Opinions recommendation of Can mammographic assessments lead to consider density as a risk factor for breast cancer?

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1924956.1478054 ◽

2010 ◽

Author(s):

Erin Aiello Bowles

Keyword(s):

Breast Cancer ◽

Risk Factor

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