scholarly journals Prognostic Significance of TWIST1, CD24, CD44, and ALDH1 Transcript Quantification in EpCAM-Positive Circulating Tumor Cells from Early Stage Breast Cancer Patients

Cells ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 652 ◽  
Author(s):  
Areti Strati ◽  
Michail Nikolaou ◽  
Vassilis Georgoulias ◽  
Evi Lianidou
Keyword(s):  
Breast Cancer ◽  
Stem Cell ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Early Stage ◽  
Prognostic Significance ◽  
Early Stage Breast Cancer ◽  
Rank Test ◽  
Breast Cancer Patients ◽  
Log Rank Test

(1) Background: The aim of the study was to evaluate the prognostic significance of EMT-associated (TWIST1) and stem-cell (SC) transcript (CD24, CD44, ALDH1) quantification in EpCAM+ circulating tumor cells (CTCs) of early breast cancer patients. (2) Methods: 100 early stage breast cancer patients and 19 healthy donors were enrolled in the study. CD24, CD44, and ALDH1 transcripts of EpCAM+ cells were quantified using a novel highly sensitive and specific quadraplex RT-qPCR, while TWIST1 transcripts were quantified by single RT-qPCR. All patients were followed up for more than 5 years. (3) Results: A significant positive correlation between overexpression of TWIST1 and CD24−/low/CD44high profile was found. Kaplan–Meier analysis revealed that the ER/PR-negative (HR-) patients and those patients with more than 3 positive lymph nodes that overexpressed TWIST1 in EpCAM+ cells had a significant lower DFI (log rank test; p < 0.001, p < 0.001) and OS (log rank test; p = 0.006, p < 0.001). Univariate and multivariate analysis also revealed the prognostic value of TWIST1 overexpression and CD24−/low/CD44high and CD24−/low/ALDH1high profile for both DFI and OS. (4) Conclusions: Detection of TWIST1 overexpression and stem-cell (CD24, CD44, ALDH1) transcripts in EpCAM+ CTCs provides prognostic information in early stage breast cancer patients.

Treg and Teff in the bone marrow of early-stage breast cancer patients with disseminated tumor cells.

2010 ◽  
Vol 28 (15_suppl) ◽  
pp. e21049-e21049
Author(s):  
D. G. Wolf ◽  
D. Fong ◽  
L. Scherrer ◽  
A. Wolf ◽  
D. Reimer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Bone Marrow ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Early Stage ◽  
Disseminated Tumor Cells ◽  
Early Stage Breast Cancer ◽  
Breast Cancer Patients

scholarly journals Prognostic Nutritional Index (PNI) in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy as a Useful Prognostic Indicator

2021 ◽  
Vol 9 ◽  
Author(s):  
Li Chen ◽  
Ping Bai ◽  
Xiangyi Kong ◽  
Shaolong Huang ◽  
Zhongzhao Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Prognostic Significance ◽  
Prognostic Nutritional Index ◽  
Prognostic Indicator ◽  
Rank Test ◽  
Breast Cancer Patients ◽  
Log Rank Test ◽  
The Mean

ObjectivePrognostic nutritional index (PNI), calculated as serum albumin (ALB) (g/L) + 5 × total lymphocyte count (109/L), is initially used to evaluate nutritional status in patients undergoing surgery and may evaluate the therapeutic effects and predict the survival of various solid tumors. The present study aimed to evaluate the potential prognostic significance of PNI in breast cancer patients receiving neoadjuvant chemotherapy (NACT).MethodsA total of 785 breast cancer patients treated with neoadjuvant chemotherapy were enrolled in this retrospective study. The optimal cutoff value of PNI by receiver operating characteristic curve stratified patients into a low-PNI group (&lt;51) and a high PNI group (≥51). The associations between breast cancer and clinicopathological variables by PNI were determined by chi-square test or Fisher’s exact test. Kaplan–Meier plots and log-rank test were used to evaluate the clinical outcomes of disease-free survival (DFS) and overall survival (OS). The prognostic value of PNI was analyzed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by the National Cancer Institute Common Toxicity Criteria (NCI-CTC).ResultsThe results indicated that PNI had prognostic significance by an optimal cutoff value of 51 on DFS and OS in univariate and multivariate Cox regression survival analyses. Breast cancer patients with a high PNI value had longer DFS and OS than those with a low PNI value [47.64 vs. 36.60 months, P &lt; 0.0001, hazard ratio (HR) = 0.264, 95%CI = 0.160–0.435; 73.61 vs. 64.97 months, P &lt; 0.0001, HR = 0.319, 95%CI = 0.207–0.491, respectively]. Furthermore, the results indicated that patients with high PNI had longer DFS and OS than those with low PNI in early stage and advanced breast cancer, especially in advanced breast cancer. The mean DFS and OS times for breast cancer patients with high PNI by the log-rank test were longer than in those with low PNI in different molecular subtypes. Moreover, the mean DFS and OS times in patients with high PNI by the log-rank test were longer than in those patients with low PNI without or with lymph vessel invasion. The common toxicities after neoadjuvant chemotherapy were hematologic and gastrointestinal reaction, and the PNI had no significance on the toxicities of all enrolled patients, except in anemia, leukopenia, and myelosuppression.ConclusionPretreatment PNI with the advantages of being convenient, noninvasive, and reproducible was a useful prognostic indicator for breast cancer patients receiving neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.

Accuracy of the online prognostication tools PREDICT and Adjuvant! for early-stage breast cancer patients younger than 50 years

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 ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Early Stage ◽  
Early Stage Breast Cancer ◽  
Breast Cancer Patients
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