Breast Neoplasms Clinical Trial
Official title:
Study of Tumor RNA Disruption Assay™ (RDA) and Its Association With a Response to Neoadjuvant Chemotherapy in Breast Cancer - A Prospective Mixed-Methods Study
The purpose of this study is to find out if the pathological complete response (pCR) to chemotherapy given before surgery (neoadjuvant chemotherapy) could be predicted by the evaluation of the RNA (ribonucleic acids) disruption pattern (RNA Disruption Assay or RDA score) obtained from a biopsy of the tumor 7 - 14 days after the first, second and third cycles of chemotherapy treatment. If we can determine the optimal time during neoadjuvant chemotherapy to measure the RDA score for the prediction of pCR, we can optimize breast cancer management.
When administering neoadjuvant chemotherapy, the current practice of monitoring response to
treatment is by measuring the size of the breast tumor after each cycle of chemotherapy. The
drawback to this method is, it will take several weeks before we can actually measure a
significant change in size; and the initial response to chemotherapy is often evident as a
softening of the tumor without an apparent decrease of the tumor size. Finding a reliable way
to identify early response to chemotherapy would be helpful to enable matching of
chemotherapy to an individual's need.
In a previous trial of breast cancer treated with neoadjuvant chemotherapy, researchers have
identified that the pCR to a full treatment of chemotherapy could be predicted by the change
in RNA pattern obtained from a biopsy of the tumor half way through the chemotherapy course.
[Parissenti et al. 2010] The purpose of this study is to determine if we can predict the pCR
to neoadjuvant chemotherapy by examining the pattern of RNA disruption (RNA Disruption Assay
or RDA score) from breast biopsy tissue obtained 7 to 14 days after the first, second and
third cycle of chemotherapy. If we can determine the optimal time during neoadjuvant
chemotherapy to measure the RDA score for the prediction of pCR, we can optimize breast
cancer management. For example, if RDA score can identify non-responders earlier, we can
switch to other chemotherapy agents and reduce the exposure to the unnecessary side-effects
of ineffective treatment.
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