scholarly journals Associations between absolute neutrophil count and lymphocyte-predominant breast cancer

2019 ◽  
Author(s):  
Chang Ik Yoon ◽  
So Eun Park ◽  
Yoon Jin Cha ◽  
Soong June Bae ◽  
Chi Hwan Cha ◽  
...  

AbstractTumor-infiltrating lymphocytes (TILs) might be associated with host-cell mediated immunity, which could be partly reflected by peripheral blood cell counts. We aimed to investigate whether peripheral blood cell counts are associated with TILs in breast cancer. Between August 2016 and July 2018, we evaluated the percentage of stromal TILs in breast cancer patients who underwent primary surgery, using the standardized methodology proposed by the international TIL Working Group. Lymphocyte-predominant breast cancer (LPBC) was defined as tumors having high TIL levels (≥ 50%). Peripheral blood cell counts including absolute neutrophil counts (ANC), absolute lymphocyte counts (ALC) and neutrophil-to-lymphocyte ratio (NLR) was obtained from pretreatment laboratory data. Of the 684 patients, 99 (17.2%) had LPBC, and 478 (82.8%) had non-LBPC. In a comparison of 3 markers of peripheral blood counts, LPBC had a significantly lower mean ANC than non-LPBC (3,330 vs. 3,660; P=0.004), but the other means were not different. Decreasing ANC was an independent clinical factor in predicting LPBC (OR: 0.736, 95% CI: 0.591-0.917; P=0.004). Low peripheral ANC might be linked with LPBC, supporting the hypothesis that systemic immune cell counts might be associated with the tumor-immune microenvironment.

2021 ◽  
Author(s):  
Cong Wang ◽  
Xiaohang Qin ◽  
Guanzhong Gong ◽  
Lizhen Wang ◽  
Ya Su ◽  
...  

Abstract Objectives: To quantify the pelvic bone marrow (PBM) fat content changes receiving different radiation doses of concurrent chemoradiotherapy for cervical cancer and to determine association with peripheral blood cell counts. Methods: Fifty-four patients were prospectively collected. Patients underwent MRI iterative decomposition of water and fat with echo asymmetrical and least squares estimation (IDEAL IQ) scanning at RT-Pre, RT mid-point, RT end, and six months. The changes in proton density fat fraction (PDFF%) at 5–10 Gy, 10–15 Gy, 15–20 Gy, 20–30 Gy, 30–40 Gy, 40–50 Gy, and >50 Gy doses were analyzed. Spearman’s rank correlations were performed between peripheral blood cell counts versus the differences in PDFF% at different dose gradients before and after treatment. Results: The lymphocytes (ALC) nadirs appeared at the midpoint of radiotherapy, which was only 27.6% of RT-Pre; the white blood cells (WBC), neutrophils (ANC), and platelets (PLT) nadirs appeared at the end of radiotherapy which was 52.4%, 65.1%, and 69.3% of RT-Pre, respectively. At RT mid-point and RT-end, PDFF% increased by 46.8% and 58.5%, respectively. Six months after radiotherapy, PDFF% decreased by 4.71% under 5–30 Gy compared to RT-end; while it still increased by 55.95% compared to RT-Pre. There was a significant positive correlation between PDFF% and ANC nadirs at 5–10 Gy (r = 0.62, P = 0.006), and correlation was observed between PDFF% and ALC nadirs at 5–10 Gy (r = 0.554, P = 0.017). Conclusion: MRI IDEAL IQ imaging was a non-invasive approach to evaluate and track the changes of PBM fat content with concurrent chemoradiotherapy for cervical cancer. The limitation of low-dose bone marrow irradiation volume in cervical cancer concurrent chemoradiotherapy should be paid more attention.


Pteridines ◽  
2013 ◽  
Vol 24 (3) ◽  
pp. 211-217 ◽  
Author(s):  
Vlastislav Šrámek ◽  
Bohuslav Melichar ◽  
Hana Študentová ◽  
Hana Kalábová ◽  
David Vrána ◽  
...  

AbstractThe aim of the present study was to evaluate the association between changes in peripheral blood cell count and neopterin concentrations in patients with a history of breast cancer. Peripheral blood cell count, serum ferritin, serum neopterin and urinary neopterin concentrations were determined in 61 patients with a history of breast cancer and 74 control subjects. Hemoglobin, relative lymphocyte count and absolute lymphocyte count were lower, and relative neutrophil count, ferritin and serum neopterin concentrations were significantly higher in breast cancer patients than in controls. Compared to controls, the difference in hemoglobin concentration was statistically significant only in patients with active disease. Significant negative correlations were observed between urinary neopterin and hemoglobin as well as between serum neopterin and relative lymphocyte counts in breast cancer patients. Increased ferritin concentrations were associated with a history of hypertension, but higher absolute lymphocyte counts were associated with hypertension only in subjects without history of cancer. In conclusion, in patients with a history of breast cancer, anemia is associated with disease activity and systemic immune activation. Ferritin concentrations are increased in subjects with hypertension.


2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e12014-e12014
Author(s):  
Elena Sperk ◽  
Cornelia Wersal ◽  
Christel Weiss ◽  
Anke Keller ◽  
Anette Kipke ◽  
...  

e12014 Background: After radiotherapy changes in blood cell counts (BCC) can be seen. Leukocytopenia may have a negative impact on the immune system, outcome and quality of life of breast cancer survivors. No reports on changes of the three blood cell lines (leukocytes=WBC, erythrocytes=RBC, thrombocytes=PLT) after IORT w/o whole breast radiotherapy (WBRT) in breast cancer patients have been reported. Methods: 256 patients had IORT during breast conserving surgery. In 198 patients WBRT (46-50Gy/2Gy) + IORT (20Gy) and in 58 patients IORT as accelerated partial breast irradiation=APBI (20Gy) was given. Preoperative BCC were used as baseline. In 214 patients BCC were available after 1-90 days, in 139 during the 1st year, in 86 in the 2nd, in 66 in the 3rd, in 51 in the 4th and in 34 in the 5th year of follow-up. Dunnett-tests were used to calculate adjusted p-values (p<0.05=significant). Results: After IORT/WBRT a decrease of WBC was seen during the 1st year. Afterwards no changes were seen. After IORT APBI no changes were seen during 5 years follow-up. RBC was decreased at all time points after IORT/WBRT, and through the 1st year after IORT APBI. PLT decreased during the 1st year and stayed low during 5 years after IORT/WBRT. No changes in PLT were seen after IORT APBI. Hemoglobin (HGB) decreased after 3 months, during the 1st and 5th year after IORT/WBRT. After IORT APBI, HGB decreased only during the 1st year and stayed stable during follow-up. Conclusions: Decreases of all blood cell lines were seen at least transiently after IORT/WBRT. PLT and RBC stayed decreased. After IORT APBI, HGB and RBC decreased only during the 1st year and WBC and PLT remained stable during the whole follow-up. [Table: see text]


Blood ◽  
2005 ◽  
Vol 106 (4) ◽  
pp. 1210-1214 ◽  
Author(s):  
Michael C. Mahaney ◽  
Carlo Brugnara ◽  
Loren R. Lease ◽  
Orah S. Platt

AbstractInterperson differences in peripheral blood cell counts in healthy individuals result from genetic and environmental influences. We used multivariate genetic analyses to assess the relative impact of genes and environment on baseline blood cell counts and indices using a pedigreed colony of baboons, an animal with well-documented analogies to human blood physiology. After accounting for age, sex, and weight, we found that genetic influences explain a significant proportion of the remaining variability, ranging from a low of 13.7% for mean corpuscular hemoglobin concentration (MCHC) to a high of 72.4% for red blood cell (RBC) number. Genes influence 38.5% of the variation in baseline white blood cell (WBC) count, a characteristic that correlates with mortality in both the general human population and clinically defined subgroups such as individuals with sickle-cell disease. We examined the interaction between pairs of traits and identified those that share common genetic influences (pleiotropy). We unexpectedly observed that the same gene or group of genes influences both WBC count and mean platelet volume (MPV). We anticipate that this approach will ultimately lead to discovery of novel insights into the biology of related traits, and ultimately identify important genes that affect hematopoiesis.


Sign in / Sign up

Export Citation Format

Share Document