scholarly journals Survivin, Ki-67 and tumor grade as predictors of response to docetaxel-based neoadjuvant chemotherapy in locally advanced breast cancer

2013 ◽  
Vol 1 (5) ◽  
pp. 839-844 ◽  
Author(s):  
QI LIN ◽  
YANG LIU ◽  
HUIYU CHEN ◽  
YI LIU ◽  
QIANG TANG ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Tumor Grade ◽  
Advanced Breast ◽  
Ki 67 ◽  
Predictors Of Response

scholarly journals Pathological responses and survival outcomes in patients with locally advanced breast cancer after neoadjuvant chemotherapy: a single-institute experience

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Kyrillus S. Shohdy ◽  
Doaa S. Almeldin ◽  
Madonna A. Fekry ◽  
Mahmoud A. Ismail ◽  
Nedal A. AboElmaaref ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Objective Response ◽  
Locally Advanced ◽  
Disease Free Survival ◽  
Advanced Breast ◽  
Survival Outcomes ◽  
Ki 67

Abstract Background Pathological complete response (pCR) is a surrogate for the efficacy of neoadjuvant chemotherapy (NCT) in locally advanced breast cancer (LABC). We analyzed the predictive clinical factors for pathological responses and survival outcomes in a cohort of Egyptian patients. Methods We evaluated the medical records of patients with breast cancer who received NCT in our academic institute. Survival curves were estimated with the Kaplan-Meier method. Cox proportional models were used for multiple regression analysis. Results Our cohort included 368 patients with a median age of 48 years (range 21–70). The median follow-up time was 3 years. The clinical tumor stage (T3–4) represented 58%, with 80% having positive axillary nodes. The luminal subgroup prevailed by 68%. The objective response rate (ORR) reached 78%, and 16% of patients achieved pCR. The clinical node stage and optimal chemotherapy were associated with higher ORR (p = 0.035 and p = 0.001, respectively). Predictors of pCR were clinical T-stage (p = 0.026), high Ki-67 index > 20 (p = 0.05), and receiving optimal chemotherapy (p = 0.014). The estimated 3-year disease free-survival (DFS) was 53%. Receptor status, achieving ORR, and pCR were associated with better DFS with hazard ratios of 0.56, p = 0.008; 0.38, p = 0.04; and 0.28, p = 0.007, respectively. Conclusions Luminal tumors still draw benefit from neoadjuvant chemotherapy in terms of clinical response and breast conservative surgery. Treatment escalation to those who did not achieve pCR requires more investigation, given a higher recurrence rate in real-world experience.

Circulating Tumor Cell Subtypes may Predict Responses to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer

2020 ◽  
Author(s):  
Ge Ma ◽  
Jingyi Wang ◽  
Xingmeng Wang ◽  
Hanling Zeng ◽  
Minghui Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Breast Cancer ◽  
Locally Advanced Breast Cancer ◽  
Locally Advanced ◽  
Circulating Tumor Cell ◽  
Chromosome 8 ◽  
Advanced Breast ◽  
Predictive Capacity ◽  
Ki 67

Abstract Background: Neoadjuvant chemotherapy (NCT) is the standard treatment for patients with locally advanced breast cancer (LABC). However, the predictive value of circulating tumor cells (CTCs) with different molecular subtypes in NCT response has not yet been determined, which was, therefore, the aim of this study. Methods: All patients were staged as LABC and received an EC×4 –T×4 NCT regimen. Blood samples were collected from patients at the time of biopsy, and after the first and eighth NCT courses. Patients were divided into High responders (High-R) and Low responders (Low-R) according to Miller-Payne system and changes in Ki-67 levels after NCT treatment. A novel SE-i•FISH strategy was applied to detect CTCs. Subtypes were successfully analyzed in LABC patients undergoing NCT, for the first time. Results: Total CTCs increased continuously and were higher for Low-R patients; while in the High-R group, total CTCs increased slightly during NCT before returning to baseline levels. Triploid and tetraploid chromosome 8 as well as the proportion of each, increased for Low-R but not High-R patients. The number of small CTCs in the Low-R group increased significantly until the last sample, however, remained constant in the High-R group. The patients with more CTCs had shorter PFS and OS than those with less CTCs after the 8th course of NCT. Conclusions: Total CTCs as well as individual subtypes within peripheral blood following NCT were predictive of patient responses to NCT. More detailed characterization of CTC blood profiles may improve predictive capacity and lead to improved LABC treatments.

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