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Purpose: In a recent phase II study of onartuzumab (MetMAb), patients whose non–small cell lung cancer (NSCLC) tissue scored as positive for MET protein by immunohistochemistry (IHC) experienced a significant benefit with onartuzumab plus erlotinib (O+E) versus erlotinib. We describe development and validation of a standardized MET IHC assay and, retrospectively, evaluate multiple biomarkers as predictors of patient benefit.Experimental Design: Biomarkers related to MET and/or EGF receptor (EGFR) signaling were measured by IHC, FISH, quantitative reverse transcription PCR, mutation detection techniques, and ELISA.Results: A positive correlation between IHC, Western blotting, and MET mRNA expression was observed in NSCLC cell lines/tissues. An IHC scoring system of MET expression taking proportional and intensity-based thresholds into consideration was applied in an analysis of the phase II study and resulted in the best differentiation of outcomes. Further analyses revealed a nonsignificant overall survival (OS) improvement with O+E in patients with high MET copy number (mean ≥5 copies/cell by FISH); however, benefit was maintained in “MET IHC-positive”/MET FISH-negative patients (HR, 0.37; P = 0.01). MET, EGFR, amphiregulin, epiregulin, or HGF mRNA expression did not predict a significant benefit with onartuzumab; a nonsignificant OS improvement was observed in patients with high tumor MET mRNA levels (HR, 0.59; P = 0.23). Patients with low baseline plasma hepatocyte growth factor (HGF) exhibited an HR for OS of 0.519 (P = 0.09) in favor of onartuzumab treatment.Conclusions: MET IHC remains the most robust predictor of OS and progression-free survival benefit from O+E relative to all examined exploratory markers. Clin Cancer Res; 20(17); 4488–98. ©2014 AACR.

Supplementary Fig. from Proteomic analysis of breast cancer molecular subtypes and biomarkers of response to targeted kinase inhibitors using reverse-phase protein microarrays

Additional methodology describing cell lines and tissues, as well as detailed methodology for gene expression, flow cytometry, IHC and FISH studies.

Supplementary Figure S3. Association of the cell cycle/immune signature with B, lactate dehydrogenase levels.

Figure S1. Characterization of SP44 specificity; Figure S2. Relationship of IHC intensity with FACS; Figure S3. Relationship of IHC intensity with mRNA; Figure S4. Representative IHC images; Figure S5 and S6. MET IHC H-scores; Figure S7. Relationship of IHC clinical score with MET copy number; Figure S8. Kaplan-Meier curves of OS according to MET copy number; Figure S9. Relationship of plasma HGF with MET Dx positivity.

Purpose: The association of tumor gene expression profiles with progression-free survival (PFS) outcomes in patients with BRAFV600-mutated melanoma treated with vemurafenib or cobimetinib combined with vemurafenib was evaluated.Experimental Design: Gene expression of archival tumor samples from patients in four trials (BRIM-2, BRIM-3, BRIM-7, and coBRIM) was evaluated. Genes significantly associated with PFS (P < 0.05) were identified by univariate Cox proportional hazards modeling, then subjected to unsupervised hierarchical clustering, principal component analysis, and recursive partitioning to develop optimized gene signatures.Results: Forty-six genes were identified as significantly associated with PFS in both BRIM-2 (n = 63) and the vemurafenib arm of BRIM-3 (n = 160). Two distinct signatures were identified: cell cycle and immune. Among vemurafenib-treated patients, the cell-cycle signature was associated with shortened PFS compared with the immune signature in the BRIM-2/BRIM-3 training set [hazard ratio (HR) 1.8; 95% confidence interval (CI), 1.3–2.6, P = 0.0001] and in the coBRIM validation set (n = 101; HR, 1.6; 95% CI, 1.0–2.5; P = 0.08). The adverse impact of the cell-cycle signature on PFS was not observed in patients treated with cobimetinib combined with vemurafenib (n = 99; HR, 1.1; 95% CI, 0.7–1.8; P = 0.66).Conclusions: In vemurafenib-treated patients, the cell-cycle gene signature was associated with shorter PFS. However, in cobimetinib combined with vemurafenib-treated patients, both cell cycle and immune signature subgroups had comparable PFS. Cobimetinib combined with vemurafenib may abrogate the adverse impact of the cell-cycle signature. Clin Cancer Res; 23(17); 5238–45. ©2017 AACR.

Although breast cancer molecular subtypes have been extensively defined by means of gene expression profiling over the past decade, little is known, at the proteomic level, as to how signaling pathways are differentially activated and serve to control proliferation in different breast cancer subtypes. We used reverse-phase protein arrays to examine phosphorylation status of 100 proteins in a panel of 30 breast cancer cell lines and showed distinct pathway activation differences between different subtypes that are not obvious from previous gene expression studies. We also show that basal levels of phosphorylation of key signaling nodes may have diagnostic utility in predicting response to selective inhibitors of phosphatidylinositol 3-kinase and mitogen-activated protein kinase/extracellular signal-regulated kinase kinase. Finally, we show that reverse-phase protein arrays allow the parallel analysis of multiple pharmacodynamic biomarkers of response to targeted kinase inhibitors and that inhibitors of epidermal growth factor receptor and mitogen-activated protein kinase/extracellular signal-regulated kinase kinase result in compensatory up-regulation of the phosphatidylinositol 3-kinase/Akt signaling pathway. [Mol Cancer Ther 2008;7(12):3695–706]

Supplementary Table from Proteomic analysis of breast cancer molecular subtypes and biomarkers of response to targeted kinase inhibitors using reverse-phase protein microarrays

Table S1. Overlap of biomarkers measured in OAM4558g; Table S2. Primer/probe information; Table S3. MET diagnostic scoring criteria; Table S4. MET IHC intratumoral heterogeneity; Table S5. Impact of KRAS/EGFR mutation on clinical outcome; Table S6. Biomarker status in EGFR-mutant patients; Table S7. Association of transcript expression with PFS in OAM4558g.

Supplementary Figure S1. Flow diagram of patients providing tumor samples in each trial.

Supplementary Figure S2. Filtering scheme to identify genes significantly associated with PFS.

Purpose: The pathways underlying basal-like breast cancer are poorly understood, and as yet, there is no approved targeted therapy for this disease. We investigated the role of mitogen-activated protein kinase kinase (MEK) and phosphatidylinositol 3-kinase (PI3K) inhibitors as targeted therapies for basal-like breast cancer.Experimental Design: We used pharmacogenomic analysis of a large panel of breast cancer cell lines with detailed accompanying molecular information to identify molecular predictors of response to a potent and selective inhibitor of MEK and also to define molecular mechanisms underlying combined MEK and PI3K targeting in basal-like breast cancer. Hypotheses were confirmed by testing in multiple tumor xenograft models.Results: We found that basal-like breast cancer models have an activated RAS-like transcriptional program and show greater sensitivity to a selective inhibitor of MEK compared with models representative of other breast cancer subtypes. We also showed that loss of PTEN is a negative predictor of response to MEK inhibition, that treatment with a selective MEK inhibitor caused up-regulation of PI3K pathway signaling, and that dual blockade of both PI3K and MEK/extracellular signal–regulated kinase signaling synergized to potently impair the growth of basal-like breast cancer models in vitro and in vivo.Conclusions: Our studies suggest that single-agent MEK inhibition is a promising therapeutic modality for basal-like breast cancers with intact PTEN, and also provide a basis for rational combination of MEK and PI3K inhibitors in basal-like cancers with both intact and deleted PTEN.

Supplementary Data from In vivo Antitumor Activity of MEK and Phosphatidylinositol 3-Kinase Inhibitors in Basal-Like Breast Cancer Models

Supplementary Figure S4. Relationship between the cell cycle and immune signatures and expression of genes associated with the neural crest phenotype described by Hoek et al (23)

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Supplementary Data from Development of Immunohistochemistry Assays to Assess GALNT14 and FUT3/6 in Clinical Trials of Dulanermin and Drozitumab

Purpose: In vitro sensitivity to the proapoptotic receptor agonists dulanermin (rhApo2L/TRAIL) and drozitumab (DR5-agonist antibody) is strongly predicted by the expression of the O-glycosylation enzymes GALNT14 in non–small cell lung cancer (NSCLC) cell lines (among others) and of FUT3/6 in colorectal cancer (CRC) cell lines. We developed immunohistochemistry (IHC) assays that measure GALNT14 and FUT3/6 levels in archival formalin-fixed, paraffin-embedded human tumor tissue to determine marker prevalence in NSCLC and CRC tissue and to enable the future examination of these markers in clinical trials.Experimental Design: GALNT14 or FUT3/6 ELISA-positive hybridoma clones were screened through IHC on cell pellets with known mRNA levels. The specificity of staining was examined in cell lines, normal tissue, and tumor tissue.Results: GALNT14 and FUT3/6 IHC exhibited a golgi staining pattern and correlated with GALNT14 and FUT3/6 (but not GALNT2 and FUT4) mRNA expression levels in cell lines and normal tissues, suggesting specificity. GALNT14 and FUT3/6 H-scores were significantly higher in cell lines sensitive to dulanermin (P = 0.01 and P = 0.0004, respectively) and drozitumab (P = 0.03 and P < 0.0001, respectively) versus resistant cell lines. GALNT14 and FUT3/6 H-scores varied widely, with ∼45% of NSCLC samples exhibiting weak to moderate GALNT14 staining (H-score of at least 25) and 70% of CRC samples exhibiting moderate to strong FUT3/6 staining (H-score of at least 125).Conclusions: GALNT14 and FUT3/6 expression can be assessed in human tumors using sensitive and specific IHC assays. Both assays are being deployed in ongoing clinical trials of dulanermin and drozitumab to assess potential utility for patient selection. Clin Cancer Res; 16(5); 1587–96

Supplementary Figures S1-S5 from Somatic Mutations Lead to an Oncogenic Deletion of Met in Lung Cancer

Activating mutations in receptor tyrosine kinases play a critical role in oncogenesis. Despite evidence that Met kinase is deregulated in human cancer, the role of activating mutations in cancers other than renal papillary carcinoma has not been well defined. Here we report the identification of somatic intronic mutations of Met kinase that lead to an alternatively spliced transcript in lung cancer, which encodes a deletion of the juxtamembrane domain resulting in the loss of Cbl E3-ligase binding. The mutant receptor exhibits decreased ubiquitination and delayed down-regulation correlating with elevated, distinct Met expression in primary tumors harboring the deleted receptor. As a consequence, phospho-Met and downstream mitogen-activated protein kinase activation is sustained on ligand stimulation. Cells expressing the Met deletion reveal enhanced ligand-mediated proliferation and significant in vivo tumor growth. A hepatocyte growth factor competitive Met antagonist inhibits receptor activation and proliferation in tumor cells harboring the Met deletion, suggesting the important role played by ligand-dependent Met activation and the potential for anticancer therapy. These results support a critical role for Met in lung cancer and somatic mutation–driven splicing of an oncogene that leads to a different mechanism for tyrosine kinase activation through altered receptor down-regulation in human cancer. (Cancer Res 2006; 66(1): 283-9)

Compared with the luminal subtype, the basal-like subtype of breast cancer has an aggressive clinical behavior, but the reasons for this difference between the two subtypes are poorly understood. We identified microRNAs (miRNAs) miR-221 and miR-222 (miR-221/222) as basal-like subtype-specific miRNAs that decrease expression of epithelial-specific genes and increase expression of mesenchymal-specific genes. In addition, expression of these miRNAs increased cell migration and invasion, which collectively are characteristics of the epithelial-to-mesenchymal transition (EMT). The basal-like transcription factor FOSL1 (also known as Fra-1) directly stimulated the transcription of miR-221/222, and the abundance of these miRNAs decreased with inhibition of MEK (mitogen-activated or extracellular signal-regulated protein kinase kinase), placing miR-221/222 downstream of the RAS pathway. The miR-221/222-mediated reduction in E-cadherin abundance depended on their targeting of the 3' untranslated region (3'UTR) of TRPS1 (trichorhinophalangeal syndrome type 1), which is a member of the GATA family of transcriptional repressors. TRPS1 inhibited EMT by directly repressing expression of ZEB2 (Zinc finger E-box-binding homeobox 2). Therefore, miR-221/222 may contribute to the aggressive clinical behavior of basal-like breast cancers.