Is there any relation between PET-CT SUVmax value and prognostic factors in locally advanced breast cancer?

PURPOSE: To investigate the relation between PET-CT SUVmax value and prognostic factors in locally advanced breast cancer. METHODS: Data of 73 patients were retrospectively analyzed. Relations between SUVmax value, clinical stage, tumor grade and breast cancer molecular subtypes were analyzed by using one-way ANOVA and x(2) tests. Correlations between age, ki-67 scores and SUVmax were evaluated by using Pearson's correlation test. A p value <0.05 was considered statistically significant. RESULTS: Median SUVmax values for clinical stages 1, 2 and 3 were 5 (range 2.1-4.1), 10.6 (range 2.9-19.6), and 12.2 (range 3.2-23.3), respectively. Statistically significant difference was noticed between stage 1 and 2 (p=0.014) and stage 1 and 3 (p=0.001). Median SUVmax values of triple negative, luminal A, luminal B and non-luminal HER2 positive groups were 14.4 (range 6.6-23.3), 8.2 (range 2.1-18.2), 10.1 (range 3.5-19.6), and 14 (range 4.1-22.9), respectively. Statistically significant differences were noticed in SUVmax values between triple-negative and luminal A groups (p=0.005) and between non-luminal HER2 positive and luminal A groups (p=0.02). Median SUVmax values of grade 1, 2 and 3 were 5.7 (range 2.1-18.2), 9.5 (range 2.2-21.3), and 11.6 (range 3.5-23), respectively. Statistically significant difference was noticed only between SUVmax values of grade 1 and 3 (p=0.035). There was negative correlation between age and SUVmax value (r=-0.23, p=0.047) and positive correlation between ki-67 and SUVmax value (r=0.43, p=0.016). CONCLUSION: There were significant positive relations between PET-CT SUVmax value and clinical stage, tumor grade, and certain breast cancer molecular subtypes (triple-negative and non-luminal HER2 positive groups. Moreover, positive correlation was found between SUVmax value and ki-67 and negative correlation between SUVmax value and age.

The Four Horsemen of the Apocalypse: Cancer, Depression, Vitamin D Deficiency, and Obesity: An Observational Study.

Objective: Studies aiming at illuminating the complex relationships between cancer, obesity, 25-hydroxy vitamin D (25-OHD) deficiency, and body fat percentage are ongoing. The objective of this study was to investigate the relationships between 25-OHD deficiency, visceral fat tissue, and the Beck Depression Inventory (BDI) in cancer patients. Methods: This study was conducted from 2013 to 2022. Patients' demographic data, such as age, sex, and body mass index (BMI), and laboratory parameters, including prealbumin, albumin, calcium, phosphorus, parathyroid hormone, 25-OHD, magnesium, hemoglobin, fat percentage, and C-reactive protein, were recorded. The Beck Depression Inventory was used to determine depression levels. Results: A total of 223 colon cancer patients aged 19-84 undergoing chemotherapy at our clinic were included in this prospective study. The male patients' mean BMI was 22.91 ± 3.74 kg/m2, whereas that of the female patients was 26.17 ± 3.75 kg/m2. The difference was statistically significant (p < 0.001). The mean total Beck Depression Inventory score was 13 ± 9. In this patient population, 105 (47.09%) patients had minimal depression, 69 (30.94%) had mild depression, 35 (15.70%) had moderate depression, and 14 (6.28%) had severe depression. The Beck Depression Inventory score was negatively and strongly associated with BMI and moderately and negatively associated with albumin levels. Conclusion: This study reveals a significant correlation between 25-OHD levels and the Beck Depression Inventory scores among cancer patients. We believe that 25-OHD levels may be used to determine the presence of depressive symptoms in cancer patients. However, further comprehensive multicentre studies are needed to draw more definitive conclusions.

Hepatitis B and C rates are significantly increased in certain solid tumors: A large retrospective study.

Objective: Hepatitis B virus (HBV) and hepatitis C virus (HCV) are associated with significant morbidity and mortality among cancer patients who received cytotoxic chemotherapy. The aim of current study was to elucidate the prevalence of HBV and HCV among large population of solid cancers and lymphoma and to compare them with large number of control group. Patients and Methods: Between 2000 and 2014, 8322 cancer patients who were admitted to Oncology Departments were evaluated retrospectively and 3890 patients in whom hepatitis serology were available were included in this study. Their results were compared with control group that consisted of 96,000 subjects. Results: In control groups, hepatitis B surface antigen (HBsAg) positivity rate was 3.3% and anti-HCV positivity rate was 0.84%. In cancer patients, HBsAg positivity rate was 3.65% and anti-HCV positivity rate was 1.2%. Neither HBsAg positivity rate nor anti-HCV positivity rate was statistically significant between groups (P = 0.12 and P = 0.09, respectively). HBsAg positivity rates of head and neck cancer (5.88%; P = 0.02), rectum (5.6%; P = 0.025), and gastric and esophagus cancer (5.88%; P = 0.025) were significantly higher than control groups. Anti-HCV positivity rate (2.5%; P = 0.0016) was significantly higher in lung cancer when compared with control group. Conclusion: The current study elucidated the prevalence of HBV and HCV among large population of solid cancers and lymphoma and we showed that hepatitis B and C positivity rates are significantly increased in certain solid tumors. Our findings should also be clarified with large prospective studies.

Utility of peripheral blood parameters in predicting breast cancer risk.

PURPOSE: We aimed to study the inflammatory parameters of complete blood count in breast cancer cases. MATERIALS AND METHODS: This retrospective study covered 178 breast cancer patients and 107 age and body mass index matched healthy women. Complete blood count parameters, neutrophil/lymphocyte ratio (NLR), platelet/ lymphocyte ratio (PLR) and MPV/platelet were analyzed. RESULTS: The leukocyte, neutrophil and neutrophil/ lymphocyte ratio were higher in the patient group (p values 0.001, 0.0001 and 0.0001, respectively) while haemoglobin and hematocrit were higher in the control group (p=0.0001 for both). Logistic regression analysis showed that elevated neutrophils and platelet distribution width (PDW) (OR: 0.627, 95%CI: 0.508-0.774, p=0.001 and OR: 1.191 95%CI: 1.057-1.342 p=0.003) were independent variables for predicting breast cancer. The cut- off value for the neutrophil/lymphocyte ratio was 2.56. CONCLUSIONS: According to our study results, neutrophil levels as part of complete blood count may be used as an independent predictor of breast cancer risk.