Changes in body composition during and after adjuvant or neo-adjuvant chemotherapy in women with breast cancer stage I-IIIB compared with changes over a similar timeframe in women without cancer.

PURPOSE: Body weight and body composition may change during and after adjuvant or neo-adjuvant chemotherapy for breast cancer. However, most studies did not include a comparison group of women without cancer, thus could not assess whether observed changes differed from age-related fluctuations in body weight and body composition over time. We assessed changes in body composition during and after chemotherapy in breast cancer patients compared with age-matched women not diagnosed with cancer. METHODS: We recruited 181 patients with stage I-IIIb breast cancer and 180 women without cancer. In patients, we assessed body composition using a dual-energy X-ray scan before start of chemotherapy (T1), shortly after chemotherapy (T2), and 6 months after chemotherapy (T3); for the comparison group, the corresponding time points were recruitment (T1) and 6 (T2) and 12 (T3) months. RESULTS: Fifteen percent of patients and 8% of the comparison group gained at least 5% in body weight between T1 and T3. Among the comparison group, no statistically significant changes in body weight, or body composition were observed over time. Body weight of patients significantly increased from baseline (72.1 kg ± 0.4 kg) to T2 (73.3 kg ± 0.4 kg), but decreased to 73.0 kg ± 0.4 kg after chemotherapy (T3). Lean mass of patients significantly increased from 43.1 kg ± 0.5 kg at baseline to 44.0 kg ± 0.5 kg at T2, but returned to 43.1 kg ± 0.5 kg at T3. There were no differential changes in fat mass over time between patients and the comparison group. CONCLUSIONS: Changes in body weight and body composition during and after chemotherapy for early stage breast cancer were modest, and did not differ substantially from changes in body weight and body composition among women without cancer.

Circulating n-3 fatty acids and linoleic acid as indicators of dietary fatty acid intake in post-myocardial infarction patients.

BACKGROUND AND AIMS: Population-based studies often use plasma fatty acids (FAs) as objective indicators of FA intake, especially for n-3 FA and linoleic acid (LA). The relation between dietary and circulating FA in cardiometabolic patients is largely unknown. We examined whether dietary n-3 FA and LA were reflected in plasma lipid pools in post-myocardial infarction (MI) patients. METHODS AND RESULTS: Patients in Alpha Omega Cohort filled out a 203-item food-frequency questionnaire from which eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), alpha-linolenic acid (ALA), and LA intake were calculated. Circulating individual FA (% total FA) were assessed in cholesteryl esters (CE; n = 4066), phospholipids (PL; n = 838), and additionally in total plasma for DHA and LA (n = 739). Spearman correlation coefficients (rs) were calculated for dietary vs. circulating FA. Circulating FA were also compared across dietary FA quintiles, overall and in subgroups by sex, obesity, diabetes, statin use, and high alcohol intake. Patients were on average 69 years old and 79% was male. Moderate correlations between dietary and circulating levels were observed for EPA (rs∼0.4 in CE and PL) and DHA (rs ∼0.5 in CE and PL, ∼0.4 in total plasma), but not for ALA (rs ∼0.0). Weak correlations were observed for LA (rs 0.1 to 0.2). Plasma LA was significantly lower in statin users and in patients with a high alcohol intake. CONCLUSIONS: In post-MI patients, dietary EPA and DHA were well reflected in circulating levels. This was not the case for LA, which may partly be influenced by alcohol use and statins.

Body composition and its association with fatigue in the first 2 years after colorectal cancer diagnosis.

PURPOSE: Persistent fatigue among colorectal cancer (CRC) patients might be associated with unfavorable body composition, but data are sparse and inconsistent. We studied how skeletal muscle index (SMI), skeletal muscle radiodensity (SMR), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) at diagnosis are associated with fatigue up to 24 months post-diagnosis in stage I-III CRC patients. METHODS: SMI, SMR, VAT, and SAT were assessed among 646 CRC patients using pre-treatment computed tomography images. Fatigue at diagnosis, at 6, and 24 months post-diagnosis was assessed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire. The association of SMI, SMR, VAT, and SAT with fatigue (yes/no) was assessed using confounder-adjusted restricted cubic spline analyses. RESULTS: Prevalence of fatigue at diagnosis was 18%, at 6 months 25%, and at 24 months 12%. At diagnosis, a significant (p = 0.01) non-linear association of higher levels of SAT with higher prevalence of fatigue was observed. Lower levels of SMR were linearly associated with higher prevalence of fatigue at 6 months post-diagnosis (overall association p = 0.02). None of the body composition parameters were significantly associated with fatigue at 24 months. CONCLUSION: Having more SAT was associated with more fatigue at diagnosis, while low levels of SMR were associated with more fatigue at 6 months post-diagnosis. IMPLICATIONS FOR CANCER SURVIVORS: Our results suggest that it may be interesting to investigate whether interventions that aim to increase SMR around the time of diagnosis may help to lower fatigue. However, more knowledge is needed to understand the mechanisms behind the association of SMR with fatigue.

Chemosensory perception and food preferences in colorectal cancer patients undergoing adjuvant chemotherapy.

BACKGROUND AND AIM: Cancer is one of the major public health problems, with colorectal cancer being one of the most occurring types of cancer. During treatment, patients may experience changes in their dietary intake due to side-effects of treatment, like changes in chemosensory perception, i.e. smell and taste function. This study investigated alterations in chemosensory perception and food preferences in colorectal cancer patients during and after adjuvant chemotherapy. METHODS: Objective olfactory and gustatory function were measured by the Sniffin' Sticks and the Taste Strips test. Subjective smell and taste perception were determined with a questionnaire, while food preferences were assessed with a computer-based ranking task. To investigate changes during chemotherapy, patients undergoing adjuvant chemotherapy were measured before the start, halfway through (approximately 3 months after the start of adjuvant chemotherapy), and within one month after finishing chemotherapy (longitudinal measurements, n = 15 patients). As a comparison group, colorectal cancer patients not undergoing chemotherapy (n = 20), underwent the same measurements at similar time points. To measure changes after treatment, chemosensory perception and food preferences of patients who had undergone chemotherapy treatment were measured once, either at 6, 12 or 24 months after diagnosis (cross-sectional measurements; n = 20 for all time points). Changes during treatment were assessed using linear mixed model analyses, and changes after treatment were assessed with a one-way ANOVA or a Kruskal Wallis test. RESULTS: Objective olfactory and gustatory function did not differ statistically significantly between any of the groups and at any time point during or after treatment (all p > 0.05). In contrast, subjective smell (F(1,84) = 8.17, p = 0.005) and taste (F(1,99) = 4.08, p = 0.046) perception were rated statistically significantly lower by patients undergoing chemotherapy than the comparison group during treatment. At 6 months after diagnosis, patients who underwent chemotherapy rated their subjective taste perception significantly lower than patients at 12 and 24 months after treatment (F(2,57) = 12.05, p = 0.002). Food preferences did not change during treatment, or thereafter (all p > 0.05). Preference for protein-rich foods was positively correlated with objective gustatory function (r = 0.36, p < 0.001), while the preference for low-energy foods showed a negative correlation with objective gustatory function (r = -0.28, p = 0.004). CONCLUSIONS: Similar to other cancer patient populations, mainly subjective smell and taste perception are affected in colorectal cancer patients undergoing adjuvant chemotherapy. Changes in objective olfactory and gustatory function in relation to chemotherapy were not detected by the tests used in our study nor did food preferences change. However, it should be noted that subjective changes in smell and taste perception can affect subsequent flavor perception and food enjoyment, which might negatively impact eating behavior and nutritional intake.

Risk of prostate cancer among cancer survivors in the Netherlands.

BACKGROUND: In parallel with increasing numbers of cancer patients and improving cancer survival, the occurrence of second primary cancers becomes a relevant issue. The aim of our study was to evaluate risk of prostate cancer as second primary cancer in a population-based setting. METHODS: Data from the Netherlands Cancer Registry were used to estimate standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) for prostate cancer as second primary cancer. The effect of time since first cancer diagnosis, specific first cancer sites, age, and pelvic radiotherapy was taken into account. RESULTS: Out of 551,553 male patients diagnosed with a first primary cancer between 1989 and 2008, 9243 patients were subsequently diagnosed with prostate cancer. Overall, cancer survivors showed an increased risk (SIR 1.3, 95% CI 1.2-1.3) of prostate cancer. The increased prostate cancer risk was limited to the first year of follow-up for the majority of the specific first cancer sites. More than 10 years after the first cancer diagnosis, only melanoma patients were at increased risk (SIR 1.5, 95% CI 1.2-1.9), while patients with head or neck cancers were at decreased risk (SIR 0.7, 95% CI 0.5-0.9) of being diagnosed with prostate cancer. Patients who underwent primary pelvic radiotherapy for their first cancer had a decreased risk of prostate cancer in the long term (SIR 0.5, 95% CI 0.4-0.6). CONCLUSIONS: Our data showed that cancer survivors have an increased prostate cancer risk in the first year following a first cancer diagnosis, which is most likely the result of active screening or incidental detection.

Blood lipid levels and prostate cancer risk; a cohort study.

It has been hypothesized that blood lipid levels might be associated with prostate cancer risk. The aim of the present study was to evaluate the association between serum total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides and prostate cancer risk in a cohort study among 2842 Dutch men. By the end of follow-up, 64 incident cases of prostate cancer were identified. Serum total cholesterol, HDL cholesterol, LDL cholesterol and triglycerides were evaluated as potential risk factors for prostate cancer using multivariable Cox proportional hazards regression models. These analyses were restricted to men who never used cholesterol-lowering drugs (2118 men, 43 cases). Higher total and higher LDL cholesterol were significantly associated with an increased risk of prostate cancer (hazards ratios (HR) and 95% confidence interval (CI) per mmol l(-1) were 1.39 (95% CI 1.03-1.88) and 1.42 (95% CI 1.00-2.02), respectively). Similar results were observed for aggressive prostate cancer, whereas for non-aggressive prostate cancer a significant association with HDL cholesterol was found (HR 4.28, 95% CI 1.17-15.67). The results of this study suggest that blood lipid levels may influence risk of prostate cancer. However, the exact roles of different cholesterol fractions on prostate cancer aggressiveness should be further evaluated.

Maximum tumor diameter is not an independent prognostic factor in high-risk localized prostate cancer.

OBJECTIVES: Previous studies suggest that maximum tumor diameter (MTD) is a predictor of recurrence in prostate cancer (PC). This study investigates the prognostic value of MTD for biochemical recurrence (BCR) in patients with PC, after radical prostatectomy (RP), with emphasis on high-risk localized prostate cancer. METHODS: RP specimens of 542 patients were evaluated with a median follow-up of 39.5 months (range 0.6-150 months). MTD was defined as the largest diameter of the largest tumor; high-risk as >or=T2c or PSA level>20 ng/ml or Gleason score>or=8 and BCR as two consecutive PSA levels>0.10 ng/ml. Proportional hazards multivariable regression models were composed to determine prognostic factors for BCR. RESULTS: Overall, 114 patients developed BCR after RP. The overall 5-year risk of BCR was 25% (95% CI=20.4-29.6), and median MTD was 24 mm (range 1-65). MTD in the total and high-risk group was associated with total tumor volume, volume of the largest tumor, pre-operative PSA levels, and Gleason score. In a univariable analyses, MTD was weakly associated with risk of BCR (HR=1.02 per mm increase, 95% CI=1.002-1.035, P=0.024) in the total group; in the high-risk group this association was lost (HR=1.01, 95%CI=0.99-1.03, P=0.18). Multivariable analyses indicated that positive surgical margins, higher Gleason score, advanced pathological stage, and multiple tumors were the main prognostic factors for BCR irrespective of the risk profile. MTD did not provide additional information. CONCLUSIONS: MTD is not an independent prognostic factor for BCR in patients treated with RP, irrespective of the risk profile.