Browsing by Author "Carter, P."

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Assessing tumor molecular profiling to guide treatments for patients with advanced female genital tract malignancy
(Impact Journals, 2017) Carter, P.; Alifrangis, C.; Cereser, B.; Chandrasinghe, P.; Del Bel Belluz, L.; Fotopoulou, C.; Frilling, A.; Herzog, T.; Moderau, N.; Tabassum, N.; Krell, J.; Stebbing, J.
Tumor molecular profiling has enabled selection of targeted therapies in a host of solid tumors. Here we used a retrospective clinical cohort, to evaluate the benefit of tailoring treatments for female genital tract malignancy, using tumor molecular profiles. Clinical outcome data for 112 patients was retrospectively separated into two groups. These either followed a matched treatment plan that incorporated at least one drug recommended according to their tumor profile and none that were expected to have no benefit (64 patients), or was unmatched with suggested treatments and received at least one drug that was anticipated to lack benefit for that tumor (48 patients). In the group of patients whose drugs matched those recommended by molecular profiling of their tumor, their overall survival was 593 days on average, compared to 449 days for patients that did not; removing drugs predicted to have no benefit from treatment regimens received after profiling increased survival by 144 days on average (P = 0.0265). In the matched treatment group, 30% of patients had died by the last time of monitoring, whereas this was 40% in the unmatched group (P = 0.2778). The IHC biomarker for the progesterone receptor was demonstrated to be prognostic for survival.
The benefit of tumor molecular profiling on predicting treatments for colorectal adenocarcinomas
(Impact Journals, 2018) Carter, P.; Alifrangis, C.; Chandrasinghe, P.; Cereser, B.; Del Bel Belluz, L.; Leo, C.A.; Moderau, N.; Tabassum, N.; Warusavitarne, J.; Krell, J.; Stebbing, J.
Correction: Assessing tumor molecular profiling to guide treatments for patients with advanced female genital tract malignancy
(Impact Journals, 2018) Carter, P.; Alifrangis, C.; Cereser, B.; Chandrasinghe, P.; Del Bell Belliz, Z.; Fotopoulou, C.; Frilling, A.; Herzog, T.; Moderau, N.; Tabassum, N.; Krell, J.; Stebbing, J.
[This corrects the article DOI: 10.18632/oncotarget.23675.]. Erratum for : Assessing tumor molecular profiling to guide treatments for patients with advanced female genital tract malignancy. [Oncotarget. 2017; 9(5):6007-6014]
Correction: Does molecular profiling of tumors using the Caris molecular intelligence platform improve outcomes for cancer patients?
(Impact Journals LLC, 2018) Carter, P.; Alifrangis, C.; Cereser, B.; Chandrasinghe, P.; Del Bel Belluz, L.; Herzog, T.; Levitan, J.; Moderau, N.; Schwartzberg, L.; Tabassum, N.; Wen, J.; Krell, J.; Stebbing, J.
This corrects the article DOI: 10.18632/oncotarget.24258.]. Erratum for Does molecular profiling of tumors using the Caris molecular intelligence platform improve outcomes for cancer patients? [Oncotarget. 2018 ;9(10):9456-9467]
Correction: The benefit of tumor molecular profiling on predicting treatments for colorectal adenocarcinomas
(Impact Journals LLC, 2018) Carter, P.; Alifrangis, C.; Chandrasinghe, P.; Cereser, B.; Del Bel Belluz, L.; Leo, C.A.; Moderau, N.; Tabassum, N.; Warusavitarne, J.; Krell, J.; Stebbing, J.
This corrects the article DOI: 10.18632/oncotarget.24257. Erratum for The benefit of tumor molecular profiling on predicting treatments for colorectal adenocarcinomas [Oncotarget. 2018 ;9(13):11371-11376]
Does molecular profiling of tumors using the Caris molecular intelligence platform improve outcomes for cancer patients?
(Impact Journals, 2018) Carter, P.; Alifrangis, C.; Cereser, B.; Chandrasinghe, P.; Del Bel Belluz, L.; Herzog, T.; Levitan, J.; Moderau, N.; Schwartzberg, L.; Tabassum, N.; Wen, J.; Krell, J.; Stebbing, J.
We evaluated the effect of tailoring treatments based on predictions informed by tumor molecular profiles across a range of cancers, using data from Caris Life Sciences. These included breast carcinoma, colorectal adenocarcinoma, female genital tract malignancy, lung non-small cell lung cancer, neuroendocrine tumors, ovarian surface epithelial carcinomas, and urinary tract cancers.Molecular profiles using mostly immunohistochemistry (IHC) and DNA sequencing for tumors from 841 patients had been previously used to recommend treatments; some physicians followed the suggestions completely while some did not. This information was assessed to find out if the outcome was better for the patients where their received drugs matched recommendations.The IHC biomarker for the progesterone receptor and for the androgen receptor were found to be most prognostic for survival overall. The IHC biomarkers for P-glycoprotein (PGP), tyrosine-protein kinase Met (cMET) and the DNA excision repair protein ERCC1 were also shown to be significant predictors of outcome. Patients whose treatments matched those predicted to be of benefit survived for an average of 512 days, compared to 468 days for those that did not (P = 0.0684). In the matched treatment group, 34% of patients were deceased at the completion of monitoring, whereas this was 47% in the unmatched group (P = 0.0001).
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.