TY - JOUR
T1 - Personalized preclinical trials in BRAF Inhibitor-resistant patient-derived xenograft models identify second-line combination therapies
AU - Krepler, Clemens
AU - Xiao, Min
AU - Sproesser, Katrin
AU - Brafford, Patricia A.
AU - Shannan, Batool
AU - Beqiri, Marilda
AU - Liu, Qin
AU - Xu, Wei
AU - Garman, Bradley
AU - Nathanson, Katherine L.
AU - Xu, Xiaowei
AU - Karakousis, Giorgos C.
AU - Mills, Gordon B.
AU - Lu, Yiling
AU - Ahmed, Tamer A.
AU - Poulikakos, Poulikos I.
AU - Caponigro, Giordano
AU - Boehm, Markus
AU - Peters, Malte
AU - Schuchter, Lynn M.
AU - Tweeraratna, Ashani
AU - Herlyn, Meenhard
N1 - Publisher Copyright:
©2015 American Association for Cancer Research.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Purpose: To test second-line personalized medicine combination therapies, based on genomic and proteomic data, in patientderived xenograft (PDX) models. Experimental Design: We established 12 PDXs from BRAF inhibitor-progressed melanoma patients. Following expansion, PDXs were analyzed using targeted sequencing and reverse-phase protein arrays. By using multi-arm preclinical trial designs, we identified efficacious precision medicine approaches. Results: We identified alterations previously described as drivers of resistance: NRAS mutations in 3 PDXs, MAP2K1 (MEK1) mutations in 2, BRAF amplification in 4, and aberrant PTEN in 7. At the protein level, re-activation of phospho-MAPK predominated, with parallel activation of PI3K in a subset. Second-line efficacy of the pan-PI3K inhibitor BKM120 with either BRAF (encorafenib)/MEK (binimetinib) inhibitor combination or the ERK inhibitor VX-11e was confirmed in vivo. Amplification of MET was observed in 3 PDX models, a higher frequency than expected and a possible novel mechanism of resistance. Importantly, MET amplification alone did not predict sensitivity to the MET inhibitor capmatinib. In contrast, capmatinib as single agent resulted in significant but transient tumor regression in a PDX with resistance to BRAF/MEK combination therapy and high pMET. The triple combination capmatinib/encorafenib/binimetinib resulted in complete and sustained tumor regression in all animals. Conclusions: Genomic and proteomic data integration identifies dual-core pathway inhibition as well as MET as combinatorial targets. These studies provide evidence for biomarker development to appropriately select personalized therapies of patients and avoid treatment failures.
AB - Purpose: To test second-line personalized medicine combination therapies, based on genomic and proteomic data, in patientderived xenograft (PDX) models. Experimental Design: We established 12 PDXs from BRAF inhibitor-progressed melanoma patients. Following expansion, PDXs were analyzed using targeted sequencing and reverse-phase protein arrays. By using multi-arm preclinical trial designs, we identified efficacious precision medicine approaches. Results: We identified alterations previously described as drivers of resistance: NRAS mutations in 3 PDXs, MAP2K1 (MEK1) mutations in 2, BRAF amplification in 4, and aberrant PTEN in 7. At the protein level, re-activation of phospho-MAPK predominated, with parallel activation of PI3K in a subset. Second-line efficacy of the pan-PI3K inhibitor BKM120 with either BRAF (encorafenib)/MEK (binimetinib) inhibitor combination or the ERK inhibitor VX-11e was confirmed in vivo. Amplification of MET was observed in 3 PDX models, a higher frequency than expected and a possible novel mechanism of resistance. Importantly, MET amplification alone did not predict sensitivity to the MET inhibitor capmatinib. In contrast, capmatinib as single agent resulted in significant but transient tumor regression in a PDX with resistance to BRAF/MEK combination therapy and high pMET. The triple combination capmatinib/encorafenib/binimetinib resulted in complete and sustained tumor regression in all animals. Conclusions: Genomic and proteomic data integration identifies dual-core pathway inhibition as well as MET as combinatorial targets. These studies provide evidence for biomarker development to appropriately select personalized therapies of patients and avoid treatment failures.
UR - http://www.scopus.com/inward/record.url?scp=84964341362&partnerID=8YFLogxK
U2 - 10.1158/1078-0432.CCR-15-1762
DO - 10.1158/1078-0432.CCR-15-1762
M3 - Article
C2 - 26673799
AN - SCOPUS:84964341362
SN - 1078-0432
VL - 22
SP - 1592
EP - 1602
JO - Clinical Cancer Research
JF - Clinical Cancer Research
IS - 7
ER -