Browsing by Author "Poyia, F."

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Investigating the benefits of molecular profiling of advanced non-small cell lung cancer tumors to guide treatments
(Impact Journals, 2018) Alifrangis, C.; Carter, P.; Cereser, B.; Chandrasinghe, P.; Belluz, L.D.B.; Lim, E.; Moderau, N.; Poyia, F.; Tabassum, N.; Zhang, H.; Krell, J.; Stebbing, J.
In this study we utilized data on patient responses to guided treatments, and we evaluated their benefit for a non-small cell lung cancer cohort. The recommended therapies used were predicted using tumor molecular profiles that involved a range of biomarkers but primarily used immunohistochemistry markers. A dataset describing 91 lung non-small cell lung cancer patients was retrospectively split into two. The first group's drugs were consistent with a treatment plan whereby all drugs received agreed with their tumor's molecular profile. The second group each received one or more drug that was expected to lack benefit. We found that there was no significant difference in overall survival or mortality between the two groups. Patients whose treatments were predicted to be of benefit survived for an average of 402 days, compared to 382 days for those that did not (P = 0.7934). In the matched treatment group, 48% of patients were deceased by the time monitoring had finished compared to 53% in the unmatched group (P = 0.6094). The immunohistochemistry biomarker for the ERCC1 receptor was found to be a marker that could be used to predict future survival; ERCC1 loss was found to be predictive of poor survival.
Molecular profiling of advanced breast cancer tumors is beneficial in assisting clinical treatment plans
(Impact Journals, 2018) Carter, P.; Alifrangis, C.; Cereser, B.; Chandrasinghe, P.; Del Bel Belluz, L.; Moderau, N.; Poyia, F.; Schwatzberg, L.S.; Tabassum, N.; Wen, J.; Krell, J.; Stebbing, J.
We used data obtained by Caris Life Sciences, to evaluate the benefits of tailoring treatments for a breast carcinoma cohort by using tumor molecular profiles to inform decisions. Data for 92 breast cancer patients from the commercial Caris Molecular Intelligence database was retrospectively divided into two groups, so that the first always followed treatment recommendations, whereas in the second group all patients received at least one drug after profiling that was predicted to lack benefit. The biomarker and drug associations were based on tests including fluorescent in situ hybridization and DNA sequencing, although immunohistochemistry was the main test used. Patients whose drugs matched those recommended according to their tumor profile had an average overall survival of 667 days, compared to 510 days for patients that did not (P=0.0316). In the matched treatment group, 26% of patients were deceased by the last time of monitoring, whereas this was 41% in the unmatched group (P=0.1257). We therefore confirm the ability of tumor molecular profiling to improve survival of breast cancer patients. Immunohistochemistry biomarkers for the androgen, estrogen and progesterone receptors were found to be prognostic for survival.