scholarly journals Dietary changes in early-stage breast cancer patients from pre-surgery and over the 12 months post-surgery

2020 ◽  
Vol 125 (2) ◽  
pp. 172-182
Author(s):  
Sonja H. Brunvoll ◽  
Inger Thune ◽  
Gro F. Bertheussen ◽  
Frøydis Fjeldheim ◽  
Vidar G. Flote ◽  
...  

AbstractThe time after a breast cancer diagnosis is a potential period for making positive dietary changes, but previous results are conflicting. The main aim of the present study was to study breast cancer patients’ dietary changes during the 12 months post-surgery and from 12 months pre-surgery to 12 months post-surgery with repeated administration of a 7-d pre-coded food diary and an FFQ, respectively. Women (n 506), mean age 55·3 years diagnosed with invasive breast cancer (stages I and II), were included. The dietary intake was quite stable over time, but the intake was lower for energy (0·3 and 0·4 MJ/d), alcohol (1·9 and 1·5 g/d) and vegetables (17 and 22 g/d) at 6 months than 3 weeks post-surgery (food diary) and at 12 months post-surgery than pre-surgery (FFQ), respectively. Furthermore, energy percentage (E%) from carbohydrates increased between 0·8 and 1·2 E% and E% from fat decreased between 0·6 and 0·8 E% over time, measured by both dietary assessment methods. We observed a higher intake of dairy products (11 g/d) at 6 months post-surgery (food diary), and a lower intake of dairy products (34 g/d) and red and processed meat (7·2 g/d) at 12 months post-surgery (FFQ). Moreover, 24 % of the patients claimed they made dietary changes, but mostly they did not change their diet differently compared with those patients who claimed no changes. In conclusion, breast cancer patients reported only minor dietary changes from 12 months pre-surgery and during the 12 months post-surgery.

2013 ◽  
Vol 31 (26_suppl) ◽  
pp. 46-46
Author(s):  
Canhua Xiao ◽  
Jennifer Felger ◽  
Donna Mister ◽  
Tian Liu ◽  
Andrew H. Miller ◽  
...  

46 Background: Fatigue, sleep problems, and depression are the most common behavioral symptoms experienced by breast cancer patients. The purpose of this study was to examine these behavioral symptoms’ impact on quality of life (QOL) for early stage breast cancer patients receiving radiotherapy (RT). Methods: This was a prospective study of 46 patients receiving whole breast RT (50 Gy plus a 10 Gy boost) following lumpectomy. Data were collected at pre-RT, week 6 of RT, and 6-weeks post-RT. QOL was measured by Short Form-36, fatigue by Multidimensional Fatigue Inventory, sleep by Pittsburgh Sleep Quality Index, depression by Inventory for Depressive Symptomatology-Self-Rated, and stress by Perceived Stress Scale. No patients were treated with chemotherapy. Demographic/clinical variables, including age, race, marriage, smoking history, hormone treatment, and cancer stage, were collected at the time of enrollment. Mixed effect modeling was utilized to observe behavioral symptoms’ impact on QOL over time. Results: Fatigue and depression, along with stress, had significant impact on QOL after controlling for body mass index (BMI; the only one significant demographic/clinical variable; see Table). Patients with more fatigue, depression, or stress were more likely to have worse QOL during and post-RT. Patients having a higher BMI at baseline also reported worse QOL over time. Sleep was significantly correlated with QOL in univariate analyses, while this effect disappeared in multivariate models. Conclusions: Behavioral symptoms, in particular fatigue and depression, along with stress, have significant impact on the QOL of early breast cancer patients’ receiving RT. Future research on the underlying biological mechanisms will improve our understanding of these symptoms and their relationships, which will help to find potential targets for multiple related symptoms and, ultimately, improve patients’ QOL. [Table: see text]


2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 8591-8591
Author(s):  
K. A. Shimabukuro ◽  
K. L. Clark ◽  
W. A. Bardwell ◽  
J. E. Mortimer

8591 Background: Fatigue is common in breast cancer patients undergoing systemic chemotherapy and is also linked with depression. We evaluated the importance of physical health and depression in the fatigue reported by women with early-stage breast cancer undergoing adjuvant chemotherapy. Methodology: 75 women treated for Stage I-II breast cancer were assessed within 1mo after initiating chemotherapy (‘baseline‘) and at 2, 6 and 12mo. Scales included the Profile of Mood States (POMS) & SF36 quality of life (QOL) survey. The POMS contains fatigue and depression subscales (higher scores, worse mood symptoms). The SF36 is comprised of 4 physical and 4 mental health subscales (higher scores, better QOL). Results: 26 Stage I (46.4%) and 30 (53.6%) Stage II breast cancer patients provided baseline data (median age 53yrs; range 28–82 yrs). Fatigue decreased significantly from baseline to 12mo (p<0.01). Using Pearson correlations, worse physical health summary scores (r= −0.55, p<0.01) and higher depression scores (r=0.55, p<0.01) were independently linked with fatigue at baseline. In partial correlations controlling for depression, the relationship between physical health and fatigue remained significant (p<0.01), but was reduced in strength by 27%, although, the influence of depression on fatigue diminished over time. Similar patterns were observed for 3 of the SF36 physical health subscales. However, the relationship between fatigue and bodily pain was unchanged when controlling for depression (p<0.01), suggesting a strong independent relationship. In linear regression models, depression predicted fatigue at all time points and was the strongest predictor at baseline and 2mo; however physical health subscales assumed increasing importance in accounting for fatigue at 6 and 12mo. Conclusion: Depression is the strongest predictor of fatigue during chemotherapy, however, over time physical health variables become increasingly important at predicting fatigue in women with early stage breast cancer. Conducted at Washington University, supported by NIH CA72554–02 No significant financial relationships to disclose.


MicroRNA ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 58-63
Author(s):  
Batool Savari ◽  
Sohrab Boozarpour ◽  
Maryam Tahmasebi-Birgani ◽  
Hossein Sabouri ◽  
Seyed Mohammad Hosseini

Background: Breast cancer is the most common cancer diagnosed in women worldwide. So it seems that there's a good chance of recovery if it's detected in its early stages even before the appearances of symptoms. Recent studies have shown that miRNAs play an important role during cancer progression. These transcripts can be tracked in liquid samples to reveal if cancer exists, for earlier treatment. MicroRNA-21 (miR-21) has been shown to be a key regulator of carcinogenesis, and breast tumor is no exception. Objective: The present study was aimed to track the miR-21 expression level in serum of the breast cancer patients in comparison with that of normal counterparts. Methods: Comparative real-time polymerase chain reaction was applied to determine the levels of expression of miR-21 in the serum samples of 57 participants from which, 42 were the patients with breast cancer including pre-surgery patients (n = 30) and post-surgery patients (n = 12), and the others were the healthy controls (n = 15). Results: MiR-21 was significantly over expressed in the serum of breast cancer patients as compared with healthy controls (P = 0.002). A significant decrease was also observed following tumor resection (P < 0.0001). Moreover, it was found that miR-21 overexpression level was significantly associated with tumor grade (P = 0.004). Conclusion: These findings suggest that miR-21 has the potential to be used as a novel breast cancer biomarker for early detection and prognosis, although further experiments are needed.


2017 ◽  
Vol 78 ◽  
pp. 37-44 ◽  
Author(s):  
Ellen G. Engelhardt ◽  
Alexandra J. van den Broek ◽  
Sabine C. Linn ◽  
Gordon C. Wishart ◽  
Emiel J. Th. Rutgers ◽  
...  

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