Abstract Background To better predict the likelihood of response to chemotherapy, we have conducted a study comparing the gene expression patterns of primary tumours with their corresponding response to systemic chemotherapy in the metastatic setting. Methods mRNA expression profiles of breast carcinomas of patients that later developed distant metastases were analyzed using supervised and non-supervised classification techniques to identify predictors of response to chemotherapy. The top differentially expressed genes between the responders and non-responders were identified and further explored. An independent dataset which was generated to predict response to neo-adjuvant CT was utilized for the purpose of validation. Response to chemoth...
Purpose: Expression-based classifiers to predict pathologic complete response (pCR) after neoadjuvan...
Abstract Background Genome scale expression profiling of human tumor samples is likely to yield impr...
AbstractValidated biomarkers predictive of response/resistance to anthracyclines in breast cancer ar...
Metastatic breast cancer remains the leading cause of death for patients with breast cancer. This th...
Abstract Background The efficacy of chemotherapy regimens in breast cancer patients is variable and ...
International audienceThe extensive heterogeneity of breast cancer complicates the precise assessmen...
SummaryObjectiveTo improve the accuracy predictive models of response to neoadjuvant chemotherapy in...
Background:Transcriptomic profiles have shown promise as predictors of response to neoadjuvant chemo...
When locally advanced breast cancer is treated with neoadjuvant chemotherapy, the recurrence risk is...
Breast cancer patients with the same stage of disease can have markedly different treatment respons...
A major challenge in oncology is the selection of the most effective chemotherapeutic agents for ind...
A major challenge in oncology is the selection of the most effective chemotherapeutic agents for ind...
In breast cancer patients, primary chemotherapy is associated with the same survival benefits as adj...
Introduction: Despite continuous efforts, not a single predictor of breast cancer chemotherapy resis...
Introduction: Despite continuous efforts, not a single predictor of breast cancer chemotherapy resis...
Purpose: Expression-based classifiers to predict pathologic complete response (pCR) after neoadjuvan...
Abstract Background Genome scale expression profiling of human tumor samples is likely to yield impr...
AbstractValidated biomarkers predictive of response/resistance to anthracyclines in breast cancer ar...
Metastatic breast cancer remains the leading cause of death for patients with breast cancer. This th...
Abstract Background The efficacy of chemotherapy regimens in breast cancer patients is variable and ...
International audienceThe extensive heterogeneity of breast cancer complicates the precise assessmen...
SummaryObjectiveTo improve the accuracy predictive models of response to neoadjuvant chemotherapy in...
Background:Transcriptomic profiles have shown promise as predictors of response to neoadjuvant chemo...
When locally advanced breast cancer is treated with neoadjuvant chemotherapy, the recurrence risk is...
Breast cancer patients with the same stage of disease can have markedly different treatment respons...
A major challenge in oncology is the selection of the most effective chemotherapeutic agents for ind...
A major challenge in oncology is the selection of the most effective chemotherapeutic agents for ind...
In breast cancer patients, primary chemotherapy is associated with the same survival benefits as adj...
Introduction: Despite continuous efforts, not a single predictor of breast cancer chemotherapy resis...
Introduction: Despite continuous efforts, not a single predictor of breast cancer chemotherapy resis...
Purpose: Expression-based classifiers to predict pathologic complete response (pCR) after neoadjuvan...
Abstract Background Genome scale expression profiling of human tumor samples is likely to yield impr...
AbstractValidated biomarkers predictive of response/resistance to anthracyclines in breast cancer ar...