scholarly journals Body mass index and absolute lymphocyte count predict disease-free survival in Korean breast cancer patients

2021 ◽  
Author(s):  
Sung Min Ko ◽  
Janghee Lee ◽  
Soong June Bae ◽  
Su Jung Baik ◽  
Junghwan Ji ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Absolute Lymphocyte Count ◽  
Cancer Prognosis ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Disease Free ◽  
Healthy Females ◽  
High Bmi

Abstract Background Our study evaluated the association between body mass index (BMI) and absolute lymphocyte count (ALC) in breast cancer patients and healthy females. Additionally, we determined the prognostic value of these factors in breast cancer. Methods We retrospectively identified 1225 primary invasive breast cancer patients and 35,991 healthy females. Factors including BMI and complete blood count associated with disease-free survival (DFS) were assessed using a multi-variable Cox proportional hazard model. Results BMI and ALC were positively correlated in breast cancer patients and healthy females (both P < 0.001). In multi-variable analysis, overweight or obese participants had worse DFS (hazards ratio [HR], 1.98; 95% confidence interval [CI], 1.34–2.92; P = 0.001) than underweight or normal-weight individuals, but patients with high ALC had better DFS than those with low ALC (HR, 0.43; 95% CI, 0.29–0.65; P < 0.001). After risk stratification according to BMI/ALC, high-risk patients with high BMI/low ALC had worse DFS than others (HR, 2.48; 95% CI, 1.70–3.62; P < 0.001). Conclusions BMI and ALC were positive correlated, but their effect on breast cancer prognosis was opposite. Patients with high BMI/low ALC had worse DFS than others. Underlying mechanisms for effect of BMI/ALC on breast cancer prognosis should be studied in the future.

scholarly journals Elevated soluble Galectin-3 as a marker of chemotherapy efficacy in Breast cancer patients; a prospective study

2020 ◽  
Author(s):  
Arooj Shafiq ◽  
January Moore ◽  
Aliya Suleman ◽  
Sabeen Faiz ◽  
Omar Farooq ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Cancer Prognosis ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Galectin 3 ◽  
Chemotherapy Efficacy ◽  
Disease Free

ABSTRACTPurposeGalectin-3 (Gal-3) is a glycan-binding lectin with a debated role in cancer progression due to its various functions and patterns of expression. The current study investigates the relationship between breast cancer prognosis and secreted Gal-3.MethodsBreast cancer patients with first time cancer diagnosis and no prior treatment (n=88) were placed in either adjuvant or neoadjuvant setting based on their treatment modality. Stromal and plasma Gal-3 levels were measured in each patient at the time of diagnosis and then throughout treatment using immunohistochemistry (IHC) and ELISA respectively. Healthy women (>18 years of age, n=63) were used to establish baseline levels of plasma Gal-3. Patients were followed for 84 months for disease free survival analysis.ResultsEnhanced levels of plasma (adjuvant) and stromal (neo-adjuvant) Gal-3 were found to be markers of chemotherapy efficacy. The patients with chemotherapy induced increase in extracellular Gal-3 had longer disease-free interval and significantly lower rate of recurrence during 84-month follow-up compared to patients with unchanged or decreased secretion.ConclusionThe findings support the use of plasma Gal-3 as a marker for chemotherapy efficacy when no residual tumor is visible through imaging. Furthermore, stromal levels in any remaining tumors post chemotherapy can also be used to predict long term prognosis in patients.Key pointsIncreased Gal-3 secretion due to chemotherapy leads to better prognosis and longer disease-free survival.The analysis of soluble Gal-3 expression could be useful as a support tool in predicting treatment efficacy in patients with no visible tumor remaining for follow up through imaging.

Neutrophil-lymphocyte index as prognostic factor for overall survival and disease-free survival in breast cancer patients

2020 ◽  
Vol 33 (4) ◽  
pp. 137-144
Author(s):  
Guillermo Peralta-Castillo ◽  
Antonio Maffuz-Aziz ◽  
Mariana Sierra-Murguía ◽  
Sergio Rodriguez-Cuevas
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Prognostic Factor ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Disease Free

scholarly journals Use of Germline Genetic Variability for Prediction of Chemoresistance and Prognosis of Breast Cancer Patients

Cancers ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 511 ◽  
Author(s):  
Viktor Hlavac ◽  
Maria Kovacova ◽  
Katerina Elsnerova ◽  
Veronika Brynychova ◽  
Renata Kozevnikovova ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Patients ◽  
Cytotoxic Therapy ◽  
Free Survival ◽  
Testing Phase ◽  
Major Allele Frequency ◽  
Set Up ◽  
Disease Free

The aim of our study was to set up a panel for targeted sequencing of chemoresistance genes and the main transcription factors driving their expression and to evaluate their predictive and prognostic value in breast cancer patients. Coding and regulatory regions of 509 genes, selected from PharmGKB and Phenopedia, were sequenced using massive parallel sequencing in blood DNA from 105 breast cancer patients in the testing phase. In total, 18,245 variants were identified of which 2565 were novel variants (without rs number in dbSNP build 150) in the testing phase. Variants with major allele frequency over 0.05 were further prioritized for validation phase based on a newly developed decision tree. Using emerging in silico tools and pharmacogenomic databases for functional predictions and associations with response to cytotoxic therapy or disease-free survival of patients, 55 putative variants were identified and used for validation in 805 patients with clinical follow up using KASPTM technology. In conclusion, associations of rs2227291, rs2293194, and rs4376673 (located in ATP7A, KCNAB1, and DFFB genes, respectively) with response to neoadjuvant cytotoxic therapy and rs1801160 in DPYD with disease-free survival of patients treated with cytotoxic drugs were validated and should be further functionally characterized.

scholarly journals PIWI-Like 1 and PIWI-Like 2 Expression in Breast Cancer

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2742
Author(s):  
Ramona Erber ◽  
Julia Meyer ◽  
Helge Taubert ◽  
Peter A. Fasching ◽  
Sven Wach ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Disease Free Survival ◽  
Breast Cancer Subtypes ◽  
Breast Cancer Patients ◽  
Free Survival ◽  
Cancer Subtypes ◽  
Prognostic Effect ◽  
Enhanced Expression ◽  
Disease Free

PIWI-like 1 and PIWI-like 2 play a role in stem cell self-renewal, and enhanced expression has been reported for several tumor entities. However, few studies have investigated PIWI-like 1 and PIWI-like 2 expressions in breast cancer subtypes regarding prognosis. Therefore, we examined protein expression in a large consecutive cohort of breast cancer patients and correlated it to breast cancer subtypes and survival outcome. PIWI-like 1 and PIWI-like 2 expressions were evaluated using immunohistochemistry in a cohort of 894 breast cancer patients, of whom 363 were eligible for further analysis. Percentage and intensity of stained tumor cells were analyzed and an immunoreactive score (IRS) was calculated. The interaction of PIWI-like 1 and PIWI-like 2 showed a prognostic effect on survival. For the combination of high PIWI-like 1 and low PIWI-like 2 expressions, adjusted hazard ratios (HRs) were significantly higher with regard to overall survival (OS) (HR 2.92; 95% confidence interval (CI) 1.24, 6.90), disease-free survival (DFS) (HR 3.27; 95% CI 1.48, 7.20), and distant disease-free survival (DDFS) (HR 7.64; 95% CI 2.35, 24.82). Both proteins were significantly associated with molecular-like and PAM50 subgroups. Combining high PIWI-like 1 and low PIWI-like 2 expressions predicted poorer prognosis and both markers were associated with aggressive molecular subtypes.

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