Influence of comorbidity on the effect of adjuvant treatment and age in patients with early-stage breast cancer

Background:

Prevalence of comorbidity at breast cancer diagnosis increases with age and is likely to influence the likelihood of receiving treatment according to guidelines. The aim of this study was to examine the effect of breast cancer treatment on mortality, taking age at diagnosis and comorbidity into account.

Methods:

Four nationwide population registries in Denmark: the Danish Civil Registration System, the Danish Breast Cancer Cooperative Group, the Danish National Patient Register, and the Danish Register of Causes of Death provided information on 62 591 women diagnosed with early-stage breast cancer, 1990–2008, of whom data on treatment were available for 39 943. Comorbidity was measured using the Charlson Comorbidity Index. Adjuvant treatment were categorised as none, chemotherapy, endocrine therapy, and unknown. Multivariable Cox modelling assessed the effect of comorbidity on breast cancer-specific mortality and other cause mortality according to treatment, adjusting for age at diagnosis and other clinical prognostic factors.

Results:

The impact of comorbidity on mortality was most pronounced in patients aged 50–79 years. Patients receiving chemotherapy with mild to moderate comorbidity had HR 0.99 (95% confidence interval (CI); 0.82–1.19) and 1.06 (95% CI; 0.77–1.46) for breast cancer-specific mortality, respectively, compared with patients without comorbidity.

Conclusion:

Comorbidity at breast cancer diagnosis is an independent adverse prognostic factor for death after breast cancer. We identified a subgroup of patients with mild to moderate comorbidity receiving chemotherapy who had similar breast cancer mortality as patients with no comorbidity.     

Bone mineral density and risk of postmenopausal breast cancer

To determine if higher bone mineral density (BMD) is a risk factor for breast cancer in women age 50 years and older. 37,860 women ≥50-year old with no previous breast cancer diagnosis had baseline BMD assessment between January 1999 and December 2007. Cox proportional hazards models were created for time to a new breast cancer as a function of lumbar spine or femoral neck BMD quartile (1st = lowest as reference) with adjustment for relevant covariates. A secondary analysis was performed to look for an association with estrogen receptor-positive (ER-positive) breast cancers. 794 invasive and in situ breast cancers (484 ER-positive) occurred with a median follow up of 5.4 years. Increased breast cancer risk was seen for the 3rd and 4th quartiles of lumbar spine BMD with hazard ratios (HRs) of 1.26 (95% CI, 1.01–1.58) and 1.45 (95% CI, 1.16–1.81), respectively and for the 3rd quartile of femoral neck BMD with a HR of 1.33 (95% CI, 1.07–1.64). A test for linear trend showed that lumbar spine BMD (P < 0.001) and femoral neck BMD (P = 0.04) were associated with increased risk. Higher lumbar spine BMD was also associated with increased risk of ER-positive breast cancer with HR of 1.45 (95% CI, 1.08–1.94), and 1.68 (95% CI, 1.24–2.27) for women in the 2nd and 4th quartiles, respectively. A test for linear trend showed lumbar spine BMD was associated with increasing risk of ER-positive breast cancer (P = 0.003). Increased ER-positive breast cancer risk was seen for the 3rd quartile of femoral neck BMD with a HR of 1.43 (95% CI, 1.08–1.89). Higher lumbar spine and femoral neck BMD are associated with higher risk of breast cancer in women ≥50-year old. Lumbar spine and femoral neck BMD are associated with increased risk of ER-positive breast cancer.     

Fruits, vegetables, and micronutrient intake in relation to breast cancer survival

SummaryObjective To determine whether fruit, vegetable, and micronutrient intake 1 year prior to breast cancer diagnosis is associated with a reduction in the subsequent risk of all-cause or breast cancer-specific mortality.Methods Follow-up data from 1,235 invasive breast cancer cases age 25–98 years from the Long Island Breast Cancer Study Project were analyzed. At the 1996–1997 case-control interview, respondents completed a food frequency questionnaire, which assessed dietary intake of fruits, vegetables, and vitamin supplement use in the previous 12 months. All-cause mortality (n=186 deaths) and breast cancer-specific mortality status (n=125 deaths, 67.2%) were determined through December 31, 2002.Results Hazard ratios (HRs) for all-cause mortality were insignificantly reduced for intake of any fruits, fruit juices, and vegetables (HR=0.68, 95% CI: 0.42–1.09) and leafy vegetables (HR=0.72, 95% CI: 0.41–1.24) among post-menopausal women only. Both of these associations were more pronounced among those with ER+PR+ tumors (HR=0.54, 95% CI: 0.27–1.10, and HR=0.66, 95% CI: 0.33–1.31, respectively). Similar associations were observed for breast cancer-specific mortality.Conclusions In a cohort of women diagnosed with breast cancer, higher intake of fruits, vegetables, and micronutrients was associated with a non-significant survival advantage in post-menopausal women only.     

Obesity and weight change in relation to breast cancer survival

The authors evaluated the prognostic effects of obesity and weight change after breast cancer diagnosis. A total of 5042 breast cancer patients aged 20–75 were identified through the population-based Shanghai Cancer Registry approximately 6 months after cancer diagnosis and recruited into the study between 2002 and 2006. Participants were followed by in-person interviews supplemented by record linkage with the Shanghai Vital Statistics Registry database. Anthropometric measurements were taken, and information on sociodemographic, clinical, and lifestyle factors was collected through in-person interviews. During the median follow-up of 46 months, 442 deaths and 534 relapses/breast cancer-specific deaths were documented. Women with body mass index (BMI) ≥30 at diagnosis had higher mortality than women with 18.5 ≤ BMI < 25; the multivariate-adjusted hazard ratios (HRs) were 1.55 (95% confidence interval (95% CI): 1.10–2.17) for total mortality and 1.44 (95% CI: 1.02–2.03) for relapse/disease-specific mortality. Similar results were found for pre- and post-diagnostic obesity. Women who gained ≥5 kg or lost >1 kg had higher mortality than those who maintained their weight. No association was observed between waist-to-hip ratio and mortality. Our study suggests that obesity and weight change after diagnosis are inversely associated with breast cancer prognosis. Weight control is important among women with breast cancer.     

Physical activity and survival after breast cancer diagnosis: meta-analysis of published studies

Published data have shown that physical activity (PA) has a positive role on the primary prevention of breast cancer risk. However, the role of PA on breast cancer outcome has been controversial with inconsistent data. The lack of a meta-analysis that addresses that issue prompted the current report. A comprehensive literature search identified eight studies, of which two studies were excluded. The remaining six studies (12,108 patients with breast cancer) were included in this meta-analysis. Pre-diagnosis PA reduced all causes mortality by 18% but had no effect on breast cancer deaths. Post-diagnosis PA reduced breast cancer deaths by 34% (HR = 0.66, 95% CI, 0.57–0.77, P < 0.00001), all causes mortality by 41% (HR = 0.59, 95% CI, 0.53–0.65, P < 0.00001), and disease recurrence by 24% (HR = 0.76, 95% CI, 0.66–0.87, P = 0.00001). Breast cancer mortality was reduced by pre-diagnosis PA in women with body mass index (BMI) < 25 kg/m2, while post-diagnosis PA reduced that risk among those with BMI ≥ 25 kg/m2. On the other hand, post-diagnosis PA reduced all causes mortality regardless of the BMI. The analysis showed that post-diagnosis PA reduced breast cancer deaths (HR = 0.50, 95% CI, 0.34–0.74, P = 0.0005), and all causes mortality (HR = 0.36, 95% CI, 0.12–1.03, P = 0.06) among patients with estrogen receptor (ER)-positive tumor, while women with ER-negative disease showed no gain. The current meta-analysis provides evidence for an inverse relationship between PA and mortality in patients with breast cancer and supports the notion that appropriate PA should be embraced by breast cancer survivors.     

Survival in breast cancer patients with bone metastases and skeletal-related events: a population-based cohort study in Denmark (1999–2007)

Bone lesions as a consequence of bone metastases in breast cancer patients can increase risk for skeletal-related events (SREs) (i.e., radiation to the bone, a pathological or osteoporotic fracture event, hypercalcemia, spinal cord compression, or surgery to the bone). The mortality risk for breast cancer patients with SREs subsequent to bone metastases is unclear. We assessed this relationship in a large, population-based cohort of breast cancer patients in Denmark. We identified 35,912 newly diagnosed breast cancer patients from January 1, 1999 to December 31, 2007 in the Danish National Patient Registry (DNPR) and followed them through April 1, 2008. Information on stage and treatment was obtained from the Danish Cancer Registry. We used the Kaplan–Meier method to estimate survival, and Cox’s regression analysis to estimate the mortality rate ratio (MRR) by the presence of bone metastases with and without SREs, adjusting for age and comorbidity. The 5-year survival was 75.8% for breast cancer patients without bone metastases, 8.3% for patients with bone metastases, and 2.5% for those with both bone metastases and SREs. The adjusted MRR was 10.5 [95% confidence interval (CI) 9.5–11.6] for breast cancer patients with bone metastases, and 14.4 (95% CI 13.1–15.8) for those with bone metastases and SREs, compared with breast cancer patients with no bone metastases but possibly other sites of metastases. A similar pattern persisted when analyses were stratified by stage or treatment. Breast cancer patients with bone metastases and SREs have a poor prognosis compared to those with and without bone metastases regardless of cancer treatment or stage of disease at diagnosis.     

Effects of obesity and race on prognosis in lymph node-negative, estrogen receptor-negative breast cancer

SummaryBackground Several factors may contribute to poorer prognosis for obese breast cancer patients, including unfavorable disease features, the influence of fat on estrogen availability, co-morbidity, and socio-demographic factors. Both obesity and estrogen receptor negative (ER-) tumors are more prevalent in black women than in whites in North America. We evaluated obesity and race in relation to outcomes in women with ER-breast cancer.Methods Among 4077 women from National Surgical Adjuvant Breast and Bowel Project clinical trials for node-negative, ER-breast cancer, we evaluated disease-free survival (DFS) and its constituents (tumor recurrence, contralateral breast cancer (CBC), second primary cancers, deaths prior to these events) and mortality in relation to body mass index (BMI) and race, using statistical modeling to account for other prognostic factors.Results Compared to those of normal weight (BMI≤24.9), DFS hazard was greater for obese (BMI ≥ 30) women [hazard ratio (HR)=1.16, 95% confidence interval (CI)=1.01–1.33]. Obesity did not increase recurrence hazard, but did influence CBC (HR=2.08, 95% CI=1.22–3.55 in postmenopausal women) and second cancers (HR=1.49, 95% CI=1.06–2.10). Mortality increased with obesity; when partitioned by likely cause, those with BMI ≥ 35.0 had greater risk of non-breast cancer mortality (HR=1.86, 95% CI=1.21–2.84). Relative to whites and adjusted for BMI, black women had greater hazard for DFS (HR=1.17, 95% CI=1.00–1.38), CBC (HR=1.37, 95% CI=0.94–1.99), and non-breast cancer deaths (HR=2.10, 95% CI=1.45–3.03); risk for deaths likely due to breast cancer was closer to that in whites (HR=1.18; 95% CI=0.93–1.50).Conclusions For women with node-negative, ER-breast cancer from clinical trials, obesity did not increase recurrence risk, but was associated with greater risk for second cancers, CBC, and mortality, particularly non-breast cancer deaths. Less favorable prognosis for black women persists in clinical trials, and is in part attributable to non-breast cancer outcomes.     

NSAID use and survival after breast cancer diagnosis in post-menopausal women

Many epidemiologic studies, although not all, have shown an inverse relation between non-steroidal anti-inflammatory drug (NSAID) use and risk of incident breast cancer, but the possible influence of NSAID use on breast cancer survival has not been evaluated. We examined the association between self-reported NSAID use and survival after invasive breast cancer diagnosis among 591 postmenopausal women in a prospective study. Cox proportional hazards regression was used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for breast cancer death as well as all-cause mortality associated with NSAID use. There was an indication of reduced risk of breast cancer mortality and all-cause mortality for women reporting any versus no use of NSAIDs, with multivariate-adjusted HRs of 0.64 (95% CI 0.39–1.05) and 0.57 (95% CI 0.40–0.81), respectively. There was no trend of decreasing risk of death with increasing frequency of NSAID use per week. While the results from this exploratory analysis are preliminary, there is biological plausibility for such an association. Further studies should consider whether NSAIDs, which have biological activity affecting tumor promotion and progression and appear to protect against breast cancer incidence, may be associated with better prognosis after a diagnosis of invasive breast cancer. This study was supported by NIH grant National Cancer Institute RO1CA39742     

Mortality following bone metastasis and skeletal-related events among women with breast cancer: a population-based analysis of U.S. Medicare beneficiaries, 1999–2006

The aim of the study is to quantify the impact of bone metastasis and skeletal-related events (SREs) on mortality in older breast cancer patients. Using the linked Surveillance, Epidemiology and End Results-Medicare database, we identified women aged 65 years or older diagnosed with breast cancer between July 1, 1999 and December 31, 2005 and followed them to determine deaths occurring through December 31, 2006. We classified patients as having possible bone metastasis and SREs using discharge diagnoses from inpatient claims and diagnoses paired with procedure codes from outpatient claims. We used Cox regression to estimate mortality hazards ratios (HR) among women with bone metastasis with or without SRE, compared with women without bone metastasis. Among 98,260 women with breast cancer (median follow-up, 3.3 years), 7,189 (7.3%) had bone metastasis either at breast cancer diagnosis (1.5%) or during follow-up (5.8%). SREs occurred in 3,319 (46%) of women with bone metastasis. HRs for risk of death were 4.9 (95% CI 4.7–5.1) and 6.2 (95% CI 5.9–6.5), respectively, for women with bone metastasis but no SRE and for women with bone metastasis plus SRE, compared with women without bone metastasis. In analyses restricted to women with bone metastasis, the adjusted HR was 1.5 (95% CI 1.4–1.6) for women with bone metastasis plus SRE, compared with women with bone metastasis but without SRE. Having a bone metastasis, as indicated by Medicare claims, was associated strongly with mortality among women with breast cancer. This association was stronger for bone metastasis complicated by SRE than for bone metastasis without SRE.     

Mortality causes in cancer patients with type 2 diabetes mellitus

Cancer patients diagnosed with type 2 diabetes mellitus (T2DM) are at an increased risk of death due to cancer. However, whether T2DM comorbidity increases other causes of death in cancer patients is the novel theme of this study. Patients with T2DM were identified from the nationwide Swedish Hospital Discharge Register and linked with patients with cancer recorded from the Swedish Cancer Registry. Hazard ratios (HRs) were calculated for death due to all causes among cancer patients with and without T2DM; both underlying and multiple causes of death were examined using the Cox regression model. A total of 13 325 cancer patients were identified with comorbidity of T2DM. The total number of deaths of cancer patients was 276 021. Of these, 5900 occurred after T2DM diagnosis. For underlying causes of death, except for T2DM, the highest cause-specific HRs were found for complications of bacterial disease (HR, 3.93; 95% CI, 3.04-5.09), urinary system disease (HR, 3.39; 95% CI, 2.78-4.12), and myocardial infarction (HR, 2.93; 95% CI, 2.75-3.12). When risk of death was examined for both underlying and multiple causes of death, the highest HRs were found for hypertensive disease (HR, 3.42; 95% CI, 3.15-3.72), urinary system disease (HR, 3.39; 95% CI, 3.17-3.63), and arterial disease (HR, 3.26; 95% CI, 3.08-3.46). The diagnosis of T2DM in cancer patients is associated with an increased risk of death due to various causes, including myocardial infarction, other bacterial disease, urinary system disease, hypertensive disease, arterial disease, and so on, which may be related to both cancer and treatment. Clinicians that treat cancer patients with T2DM should pay more attention to comorbidities.     

Adjuvant therapy, not mammographic screening, accounts for most of the observed breast cancer specific mortality reductions in Australian women since the national screening program began in 1991

There has been a 28% reduction in age-standardised breast cancer mortality in Australia since 1991 when the free national mammographic program (BreastScreen) began. Therefore, a comparative study between BreastScreen participation and breast cancer age specific mortality trends in Australia was undertaken for two time periods between 1991 and 2007, where women aged 50–59 and 60–69 years, who were invited to screen, were compared to women aged 40–49 and 70–79 years who were not invited, but who did have access to the program. There were mortality reductions in all four age groups between 1991–1992 and 2007, resulting in 5,849 (95% CI 4,979 to 6,718) fewer women dying of breast cancer than would have otherwise been the case. Women aged 40–49 years, who had the lowest BreastScreen participation (approximately 20%), had the largest mortality reduction: 44% (95% CI 34.8–51.2). Women aged 60–69 years, who had the highest BreastScreen participation (approximately 60%), had the smallest mortality reduction: 19% (95% CI 10.5–26.9). As BreastScreen participation by invited women aged 50–69 years only reached a maximum of about 55–60% in 1998–1999, a decline in mortality in Australian women cannot be attributed to BreastScreen prior to this time. Thus, almost 60% of the Australian decline in breast cancer mortality since 1991 cannot be attributed to BreastScreen. Therefore, mammographic screening cannot account for most of the reductions in breast cancer mortality that have occurred in Australian women since 1991 and may have contributed to over-diagnosis. Most, if not all, of the reductions can be attributed to the adjuvant hormonal and chemotherapy, which Australian women have increasingly received since 1986.     

Significance of pretreatment comorbidities in elderly patients with advanced non-small-cell lung cancer treated with chemotherapy or epidermal growth factor receptor-tyrosine kinase inhibitor

A standard, valid assay of comorbidities for elderly patients with advanced non-small-cell lung cancer (NSCLC) who have received antitumor therapy is needed to provide useful prognostic information. The aim of this study was to analyze prognostic factors and validate classic Charlson comorbidity index (CCI) and comorbidity scores in elderly patients with advanced NSCLC treated with chemotherapy or epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs). A retrospective analysis was conducted on 162 patients with advanced NSCLC over 70 years old at diagnosis, who were treated with cytotoxic chemotherapy or with EGFR-TKIs between April 2003 and April 2009 at Kyoto University Hospital. Collected data included clinical assessments, treatments, toxicities, and outcomes. Survival was estimated using the Kaplan–Meier method. Prognostic factors were evaluated with log-rank and Cox regression tests. Based on multivariate analysis, unspecified NSCLC histology [Hazard ratio (HR), 1.631; 95% Confidence interval (CI), 1.184–2.263; P = 0.0016], more than 3 comorbidities (HR, 1.317; 95% CI, 1.020–2.675; P = 0.0350), and a CCI of more than 3 (HR, 1.321; 95% CI, 1.031–1.664; P = 0.0285) were significant independent negative prognostic factors for survival. Our results indicate that CCI and the number of comorbidities are independent predictors of survival in elderly patients undergoing systemic chemotherapy including EGFR-TKIs for advanced NSCLC. These factors should be taken into consideration in the pretreatment assessment as important factors predicting survival outcome.     

Relative mortality rates from incident chronic diseases among breast cancer survivors – A 14 year follow-up of five-year survivors diagnosed in Denmark between 1994 and 2007

BackgroundIt remains unknown whether incident chronic diseases are more often fatal among breast cancer survivors than among women free of breast cancer.MethodsWe conducted a nationwide matched cohort study of all Danish breast cancer patients diagnosed between 1994 and 2007, who survived for five years. We compared their long-term mortality with five times as many women from the general population without breast cancer, matched on age. We used time-varying methods to compute mortality rate ratios (MRRs) for incident diseases included in the Charlson Comorbidity Index (CCI).ResultsOne third of five-year breast cancer survivors developed incident diseases during 14 years of follow-up, with about the same incidence as women without breast cancer. Mortality associated with any incident disease was similar among breast cancer survivors (MRR = 7.1, 95% confidence interval (CI): 6.7, 7.4) and comparison women (MRR = 7.5, 95% CI: 7.3, 7.7). Among breast cancer patients, relative mortality associated with incident diseases was higher among patients treated with chemotherapy (MRR = 10, 95% CI: 8.7, 12) and radiotherapy (MRR = 9.8, 95% CI: 8.8, 11) than among patients who received surgery (MRR = 7.0, 95% CI: 6.7, 7.4) or hormonal therapy (MRR = 6.3, 95% CI: 5.8, 6.9).ConclusionThere were no marked differences in mortality of diseases among breast cancer survivors and women from the general population. Among breast cancer patients, new diseases were more often fatal in patients treated with chemotherapy and radiotherapy. Five-year breast cancer survivors have similar risk of dying from new chronic medical conditions as women from the general population without breast cancer.     

Chronic therapy with selective serotonin reuptake inhibitors and survival in newly diagnosed cancer patients

Depression might be associated with shorter disease specific survival. Selective serotonin reuptake inhibitors (SSRIs) were previously reported to increase the risk of certain malignancies. We aimed to evaluate the impact of SSRIs on cancer mortality. Five retrospective cohort studies were conducted in a UK population‐representative database that included all individuals with an incident diagnosis of melanoma, breast, prostate lung and colorectal cancer. The primary exposure of interest was continuous use of SSRIs with past use as the comparison reference. Cox regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CI). The study included 5,591 newly diagnosed cancer patients. Continuous SSRI use was associated with lower survival compared to past users for melanoma, breast, prostate, lung and colorectal cancers with HRs for the risk of death of 2.02 (95% CI 1.24–3.28), 1.91 (95% CI 1.53–2.38), 1.79 (95% CI 1.38–2.33), 1.44 (95% CI 1.19–1.75) and 1.51 (95% CI 1.21–1.72) respectively. The incidence of death during the first 2 years following cancer diagnosis associated with continuous SSRI use were elevated for breast (1.72, 95% CI 1.30–2.27), prostate (1.64, 95% CI 1.20–2.24) and lung cancers (1.45, 95% CI 1.26–1.66). In conclusion, continuous use of SSRIs might be associated with lower survival in cancer patients.     

Area disadvantage,individual socio-economic position,and premature cancer mortality in Australia 1998 to 2000: a multilevel analysis

Objective To examine associations between area and individual socio-economic characteristics and premature cancer mortality using multilevel analysis. Methods We modeled cancer mortality among 25–64-year-old men and women (n = 16,340) between 1998 and 2000 in Australia. Socio-economic characteristics of Statistical Local Areas (n = 1,317) were measured using an Index of Relative Socio-economic Disadvantage (quintiles), and individual socio-economic position was measured by occupation (professionals, white and blue collar). Results After adjustment for within-area variation in age and occupation, the probability of premature cancer mortality was highest in the most disadvantaged areas for all-cancer mortality for men (RR 1.48 95% CI 1.35–1.63) and women (RR 1.30 95% CI 1.18–1.43) and for lung cancer mortality for men (1.91 95% CI 1.63–2.25) and women (1.51 95% CI 1.04–2.18). Men in blue collar occupations had a higher rate of cancer mortality (RR 1.57 95% CI 1.50–1.65) and lung cancer mortality (RR 2.31 95 % CI 2.09–2.56), whereas men in white collar occupations had a lower all-cancer mortality rate (RR 0.78 95% CI 0.72–0.85). Compared with professionals, women in white collar occupations had an all-cancer mortality rate that was lower (RR 0.85 95% CI 0.80–0.90). When deaths from breast cancer were excluded, women in blue collar occupations had a significantly higher all-cancer mortality rate than professionals (RR 1.12 95% CI 1.02–1.22). Conclusions Area disadvantage and individual socio-economic position were independently associated with premature cancer mortality, suggesting that interventions to reduce inequalities should focus on places and people.     

Iatrogenic displacement of tumor cells to the sentinel node after surgical excision in primary breast cancer

Isolated tumor cells (ITC) are more common in the sentinel node (SN) after needle biopsy of a breast cancer, indicating iatrogenic displacement of tumor cells. We here investigate whether similar iatrogenic displacement occurs after surgical excision of a breast tumor. We compared the incidence of ITC in the SN of 414 breast cancer patients with recent surgical excision to a group of 16,960 patients without recent surgical procedure in a multivariate analysis by linking data from the Danish Breast Cancer Cooperative Group database and the Danish National Health Register. Moreover, the incidence of spread to non-SNs in patients with ITC in the SN after recent surgical excision was analyzed. We found an adjusted odds ratio on 3.73 (95% CI 2.57–5.43; P < 0.0001) for having ITC in the SN after surgical excision. The increase in ITC after surgical excision was especially seen in patients with ductal carcinomas (OR 4.66; 95% CI 3.03–7.19). None of the patients with ITC in SN after surgical excision had further spread to non-SNs compared to 12% in the group without recent surgical excision (P = 0.09). The nearly fourfold increase in ITC in the SN after surgical excision indicates that this procedure induces iatrogenic displacement of tumor cells. This displacement was more common in ductal carcinomas. We found no further dissemination to non-SNs in patients with ITC in the SN after recent surgical excision, and it is questioned whether these patients benefit from an axillary lymph node dissection.     

Endocrine therapy in obese patients with primary breast cancer: another piece of evidence in an unfinished puzzle

Obesity, defined as a body mass index (BMI) ≥30 is an independent risk factor in breast cancer and is correlated with shorter survival and enhanced recurrence rates. The present subgroup analysis of the German BRENDA-cohort aimed to investigate the correlation between BMI, recurrence-free survival (RFS) and adjuvant endocrine therapy. In this subgroup analysis, 4,636 patients were retrospectively examined using multivariate analyses. Overall 3,759 (81.1%) patients had a BMI <30 (non-obese) and 877 (18.9%) a BMI ≥30 (obese). In the group of all 3,896 (84.0%) patients with hormone-receptor-positive (HR+) breast carcinomas a significant reduction in RFS was demonstrated for those who were obese (P = 0.002; HR = 1.45 (95% CI: 1.15–1.83)), also after adjustment for Nottingham Prognostic Index (NPI) (P = 0.028; HR = 1.30 (95% CI: 1.03–1.65)). In hormone-receptor-negative (HR−) patients BMI had no influence on RFS (P = 0.380; HR = 1.20 (95% CI: 0.80–1.81)). Considering menopausal status, a significantly shorter RFS was seen in postmenopausal obese than in non-obese patients (P < 0.001; HR = 1.61 (95% CI: 1.24–2.09)), whereas the premenopausal patient group only showed a trend towards a shorter RFS (P = 0.202; HR = 1.44 (95% CI: 0.82–2.53)). The group of HR+ postmenopausal patients with normal or intermediate weight showed a non-significant statistical trend towards a survival benefit for aromatase inhibitors (AI) compared to tamoxifen (RFS: P = 0.486; HR = 1.29 (95% CI: 0.63–2.62), while obese patients tended to benefit more from tamoxifen (RFS: P = 0.289; HR = 0.65 (95% CI: 0.29–1.45)). In accordance with recently published results we demonstrated a negative effect of a high BMI on outcome in primary breast cancer. Furthermore the efficacy of AI seems dependent on BMI in contrast to tamoxifen. Prospective studies to optimise the therapy of obese breast cancer patients are urgently needed.     

Folate intake and breast cancer mortality in a cohort of Swedish women

Folate may influence breast cancer development and progression through its role in one-carbon metabolism. However, epidemiologic data on the relation between folate and breast cancer survival are limited. We investigated whether dietary folate intake was associated with survival in 3,116 women diagnosed with breast cancer in the population-based Swedish Mammography Cohort. Participants completed a 67-item food frequency questionnaire in 1987. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for death from breast cancer and death from any cause. During 25,716 person-years of follow-up from 1987 to 2008, there were 852 deaths with 381 breast cancer deaths. Dietary folate intake was inversely associated with breast cancer and overall mortality. Women in the highest quartile of folate intake had a multivariable HR (95% CI) of death from breast cancer of 0.78 (0.58–1.03) compared to those in the lowest quartile (P _trend = 0.03). The corresponding HR (95% CI) for death from any cause was 0.79 (0.66–0.96; P _trend = 0.004). The protective association between dietary folate intake and breast cancer death was strongest among those with ER-negative tumors (HR = 0.42; 95% = CI 0.22–0.79; P _trend = 0.01) comparing the highest to lowest quartile. Our findings suggest that folate intake before breast cancer diagnosis may improve breast cancer and overall survival. While these findings need to be confirmed in future studies, they do offer assurance that dietary folate intake at the levels observed in our population does not unfavorably affect survival after breast cancer.     

Mortality risk from comorbidities independent of triple-negative breast cancer status: NCI-SEER-based cohort analysis

Purpose

A comparatively high prevalence of comorbidities among African-American/Blacks (AA/B) has been implicated in disparate survival in breast cancer. There is a scarcity of data, however, if this effect persists when accounting for the adverse triple-negative breast cancer (TNBC) subtype which occurs at threefold the rate in AA/B compared to white breast cancer patients.

Methods

We reviewed charts of 214 white and 202 AA/B breast cancer patients in the NCI-SEER Connecticut Tumor Registry who were diagnosed in 2000–2007. We employed the Charlson Co-Morbidity Index (CCI), a weighted 17-item tool to predict risk of death in cancer populations. Cox survival analyses estimated hazard ratios (HRs) for all-cause mortality in relation to TNBC and CCI adjusting for clinicopathological factors.

Results

Among patients with SEER local stage, TNBC increased the risk of death (HR 2.18, 95 % CI 1.14–4.16), which was attenuated when the CCI score was added to the model (Adj. HR 1.50, 95 % CI 0.74–3.01). Conversely, the adverse impact of the CCI score persisted when controlling for TNBC (Adj. HR 1.49, 95 % CI 1.29–1.71; per one point increase). Similar patterns were observed in SEER regional stage, but estimated HRs were lower. AA/B patients with a CCI score of ≥3 had a significantly higher risk of death compared to AA/B patients without comorbidities (Adj. HR 5.65, 95 % CI 2.90–11.02). A lower and nonsignificant effect was observed for whites with a CCI of ≥3 (Adj. HR 1.90, 95 % CI 0.68–5.29).

Conclusions

comorbidities at diagnosis increase risk of death independent of TNBC, and AA/B patients may be disproportionately at risk.

     

Comorbidity in elderly cancer patients in relation to overall and cancer-specific mortality

Background:

Aims of this study were to describe the prevalence of comorbidity in newly diagnosed elderly cancer cases compared with the background population and to describe its influence on overall and cancer mortality.

Methods:

Population-based study of all 70+ year-olds in a Danish province diagnosed with breast, lung, colorectal, prostate, or ovarian cancer from 1 January 1996 to 31 December 2006. Comorbidity was measured according to Charlson''s comorbidity index (CCI). Prevalence of comorbidity in newly diagnosed cancer patients was compared with a control group by conditional logistic regression, and influence of comorbidity on mortality was analysed by Cox proportional hazards method.

Results:

A total of 6325 incident cancer cases were identified. Elderly lung and colorectal cancer patients had significantly more comorbidity than the background population. Severe comorbidity was associated with higher overall mortality in the lung, colorectal, and prostate cancer patients, hazard ratios 1.51 (95% CI 1.24–1.83), 1.41 (95% CI 1.14–1.73), and 2.14 (95% CI 1.65–2.77), respectively. Comorbidity did not affect cancer-specific mortality in general.

Conclusion:

Colorectal and lung cancer was associated with increased comorbidity burden in the elderly compared with the background population. Comorbidity was associated with increased overall mortality in elderly cancer patients but not consistently with cancer-specific mortality.