Dataset Information

Value of TP53 status for predicting response to neoadjuvant chemotherapy in breast cancer: a meta-analysis.

ABSTRACT:

Background

Numerous studies have yielded inconclusive results regarding the relationship between tumor suppressor protein TP53 overexpression and/or TP53 gene mutations and the response to neoadjuvant chemotherapy in patients with breast cancer. The purpose of the current study was therefore to evaluate the relationship between TP53 status and response to chemotherapy in breast cancer.

Methods and findings

A total of 26 previously published eligible studies including 3,476 cases were identified and included in this meta-analysis. TP53 status (over expression of TP53 protein and/or TP53 gene mutations) was associated with good response in breast cancer patients who received neoadjuvant chemotherapy (total objective response: risk ratio [RR]=?1.20, 95% confidence interval [CI]=?1.09-1.33, p<0.001; pathological objective response: RR?=?1.37, 95% CI?=?1.20-1.57, p<0.01; total complete response: RR?=?1.33, 95% CI?=?1.15-1.53, p<0.001; pathological complete response: RR?=?1.45, 95% CI?=?1.25-1.68, p<0.001). In further stratified analyses, this association also existed among the studies using anthracycline-based neoadjuvant chemotherapy, and the association between response and the presence of gene alterations was stronger than that between response and immunohistochemistry positivity.

Conclusion

The results of the present meta-analysis suggest that TP53 status is a predictive factor for response in breast cancer patients undergoing neoadjuvant chemotherapy. Further larger and well-designed prospective studies are required to evaluate the predictive role of TP53 status in clinical practice.

SUBMITTER: Chen MB

PROVIDER: S-EPMC3387248 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Value of TP53 status for predicting response to neoadjuvant chemotherapy in breast cancer: a meta-analysis.

Chen Min-Bin MB Zhu Ya-Qun YQ Xu Jun-Ying JY Wang Li-Qiang LQ Liu Chao-Ying CY Ji Zhang-Yi ZY Lu Pei-Hua PH

PloS one 20120629 6

<h4>Background</h4>Numerous studies have yielded inconclusive results regarding the relationship between tumor suppressor protein TP53 overexpression and/or TP53 gene mutations and the response to neoadjuvant chemotherapy in patients with breast cancer. The purpose of the current study was therefore to evaluate the relationship between TP53 status and response to chemotherapy in breast cancer.<h4>Methods and findings</h4>A total of 26 previously published eligible studies including 3,476 cases w ...[more]

PMID: 22768103

Similar Datasets

Project description:PurposeTo develop a scoring system for hormone receptor-positive (HR+) breast cancer patients who are expected to achieve axillary pathological complete response (pCR) after neoadjuvant chemotherapy (NAC). To confirm the correlation between axillary status and survival rate in HR+ breast cancer after NAC.MethodsWomen from the Shanghai Jiao Tong University Breast Cancer Database (SJTU-BCDB) who underwent NAC for cT1-4N1-3M0 primary HR+ breast cancer between 2009 and 2018 were included in the study. In this case, patient follow up was performed until 2022 for those with complete data before and after NAC. The main outcome measures were the axillary pCR rate, overall survival (OS), and disease-free survival (DFS). The patients were randomly assigned to a test set (n = 175) and a validation set (n = 68) in a 7 : 3 ratio. A prediction risk score was then developed based on the odds ratios from the multivariate analysis of the test set (n = 175) before being validated in the validation set (n = 68). Finally, the Kaplan-Meier curves were used to explore the survival on this score system.ResultsFrom the database, 243 women were included, and the median follow-up period was 47.5 months (95% confidence interval: 41.9-53.1). The axillary pCR rate was 18.9% (46 of 243), with the independent predictors of residual positive axillary lymph nodes (LNs) being lymphovascular invasion (LVI), breast conserving surgery (BCS), Ki67 < 14%, HER2 negativity, positive lymph nodes in ultrasound (US) before surgery, and stage III histological grade (All, P < 0.05). Using the above predictors of the model, the receiver operating characteristic (ROC) curve was used for calibration and inspection, with values for the test and validation sets being 0.847 (P < 0.001; 95% CI: 0.769, 0.925) and 0.813 (P < 0.001; 95% CI: 0.741, 0.885), respectively. The total risk score ranged from 0 to 6 for the multivariate analysis, and from this range, a risk score of 0-2 was defined as a low-risk group, while scores of 3-6 were defined as the high-risk one. By constructing the survival curve, it was found that the 5-year OS rates for the low-risk and high-risk groups were 89.0% and 84.2% (P = 0.236). Similarly, the 5-year DFS rates for the low-risk and high-risk groups were 80% and 68.5% (P = 0.048), respectively. In addition, axillary pathological stages were significantly correlated with the overall survival (OS) and disease-free survival (DFS) (All, P < 0.05).ConclusionThe prediction model showed good performance for HR + breast cancer. LVI, BCS, low Ki-67, HER2 negativity, suspected positive LNs before surgery, and stage III histological grade were all risk factors for residual positive axillary LNs. However, unlike pathological stages, achieving pCR in the axillary LNs does not affect the survival status.

Dataset Information

Value of TP53 status for predicting response to neoadjuvant chemotherapy in breast cancer: a meta-analysis.

Background

Methods and findings

Conclusion

Publications

Value of TP53 status for predicting response to neoadjuvant chemotherapy in breast cancer: a meta-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets