Cancer as a Scottish Problem

Cancer, responsible for about 1 death in 5 in Scotland, cost over £1 per head of population in 1965 and led to bed occupation of almost 2,000 bed years. Time lag (symptoms-doctor-hospital-treatment) is usuallv small. Age distribution is as in other European countries. Excluding accidents, cancer is the second most important cause of death in children. In relation to other countries Scotland's position is very poor and the lung cancer mortality in both sexes is the highest known. Lung cancer is the most important in males, breast cancer in females. Alimentary cancers come second in both sexes. In this century alimentary cancers increased till the thirties or forties and then declined. Cancers of pancreas, cervix uteri, ovary, prostate, kidney and bladder, together with leukaemia, have all increased. Cancer of the lung has increased elevenfold in women and fiftyfold in men. It now accounts for 9 to 12 per cent of all male deaths in cities and large towns

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BMI, long-term changes in BMI, and risk of cancer mortality in a large cohort study.

Journal of Clinical Oncology ◽

10.1200/jco.2012.30.15_suppl.1502 ◽

2012 ◽

Vol 30 (15_suppl) ◽

pp. 1502-1502

Author(s):

Niloofar Taghizadeh ◽

Judith M. Vonk ◽

H. Marike Boezen

Keyword(s):

Breast Cancer ◽

Prostate Cancer ◽

Lung Cancer ◽

Cohort Study ◽

Mortality Risk ◽

Cancer Mortality ◽

Lung Cancer Mortality ◽

Prostate Cancer Mortality ◽

Risk Of Mortality ◽

Cancer Mortality Risk

1502 Background: There are indications of an association between Body Mass Index (BMI) and risk of different cancer types. There is dispute whether this association differs between males and females. Methods: We studied the association of BMI at the first survey with risk of mortality from the most common types of cancer (lung, colorectal, breast and prostate cancer) in a large general population-based cohort study (Vlagtwedde-Vlaardingen, 1965-1990) with follow-up on mortality status until 2009. Additionally, we assessed this association based on tertiles of the annual change in BMI (defined as the difference between BMI at last survey and first survey divided by the time between last and first survey). We used 3 categories of BMI (< 25 kg/m2, 25-30 kg/m2, and ≥ 30 kg/m2) and changes in BMI (< 0.02 kg/m2/yr, 0.02-0.2 kg/m2/yr, and > 0.2 kg/m2/yr) in the analyses. The multivariate Cox regression model was adjusted for age, smoking, gender. Analyses were additionally stratified by gender and smoking. Results: Among all 8645 subjects, 1194 died due to cancer (lung cancer: 275; colorectal cancer: 134; breast cancer: 117; prostate cancer: 83). Mortality from all types of cancer was significantly increased in subjects with BMI > 30 kg/m2 (HR (95 % CI)) = 1.22 (1.00-1.48)), especially in females (1.38 (1.06-1.81)) and in never smokers (1.39 (1.02-1.90)). Prostate cancer mortality was significantly increased in males with BMI 25-30 kg/m2 (2.04 (1.90-3.83)) and > 30 kg/m2 (2.61 (1.02-6.67)). This association between prostate cancer mortality and BMI was higher in smokers. Lung cancer mortality risk was decreased in subjects with BMI 25-30 kg/m2 (0.71 (0.54-0.93)) and > 30 kg/m2 (0.82 (0.50-1.32)), especially in males, in smokers, and in smoking males. There were no significant associations between BMI and colorectal or breast cancer mortality nor between change in BMI and mortality from all analyzed types of cancer. Conclusions: We show that an increase in BMI is associated with an increased risk of mortality from all types of cancer in females and with an increased mortality risk from prostate cancer in males but with a decreased lung cancer mortality risk, especially in males. More research is needed into the biological mechanisms that link BMI to cancer.

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Lung Cancer Attributed Mortality Among 316,336 Early Stage Breast Cancer Cases Treated by Radiotherapy and/or Chemotherapy, 2000–2015: Evidence From the SEER Database

Frontiers in Oncology ◽

10.3389/fonc.2020.602397 ◽

2021 ◽

Vol 10 ◽

Author(s):

Semaw Ferede Abera ◽

Rafael T. Mikolajczyk ◽

Eva Johanna Kantelhardt ◽

Ljupcho Efremov ◽

Ahmed Bedir ◽

...

Keyword(s):

Breast Cancer ◽

Lung Cancer ◽

General Population ◽

Alaska Native ◽

Cancer Mortality ◽

Early Stage ◽

Lung Cancer Mortality ◽

Tumor Grade ◽

Parametric Modelling ◽

Risk Of Death

ObjectiveTo estimate the risk of death from lung cancer in patients treated for breast cancer (BC) in relation to the general population.MethodsBC data, covering 2000 to 2015, were extracted from the Surveillance, Epidemiology and End Results-18 (SEER-18) cancer registry database. A comparison of lung cancer attributed mortality between BC patients and the general population was performed using standardized mortality ratios (SMRs) and SMRs conditional on survival length (cSMRs). Prognostic factors of lung cancer mortality were identified using flexible parametric modelling. Our model adjusts the effect of downstream (histopathological BC tumor grade and hormone receptor status) and upstream (age at diagnosis, ethnicity, and marital status) factors.ResultsThe median follow-up was 6.4 years (interquartile range, 3.0–10.3 years). BC cases who received only radiotherapy (cSMR = 0.93; 95%CI: 0.77–1.13), only chemotherapy (cSMR = 0.91; 0.62–1.33), and radio-and chemotherapy (cSMR = 1.04; 0.77–1.39) had no evidence of increased lung cancer mortality relative to the general population. The adjusted model identified that lung cancer mortality was higher for women who were older at diagnosis compared to those <50 years (ranging from HR50-59 = 3.41 [95%CI: 2.72–4.28] to HR70-79 = 10.53 [95%CI: 8.44–13.13]) and for cases with negative estrogen and progesterone receptors (HR =1.38; 95% CI: 1.21–1.57). Compared to married cases, widowed, divorced, single or others had a 76%, 45%, and 25% higher hazard of lung cancer mortality, respectively. Lung cancer mortality was lower for American Indian/Alaska Native and Asian/Pacific Islander ethnicities (HR = 0.51; 95% CI: 0.40–0.64) compared to BC cases with white ethnic background.ConclusionsThere is no evidence for a higher lung cancer mortality in BC patients when compared to the general population.

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