PIK3R5 genetic predictors of hypertension induced by VEGF-pathway inhibitors.

No biomarkers are available to predict patients at risk of developing hypertension induced by VEGF-pathway inhibitors. This study aimed to identify predictive biomarkers of hypertension induced by these drugs using a discovery-replication approach. The discovery set included 140 sorafenib-treated patients (TARGET study) genotyped for 973 SNPs in 56 genes. The most statistically significant SNPs associated with grade ≥2 hypertension were tested for association with grade ≥2 hypertension in the replication set of a GWAS of 1039 bevacizumab-treated patients from four clinical trials (CALGB/Alliance). In the discovery set, rs444904 (G > A) in PIK3R5 was associated with an increased risk of sorafenib-induced hypertension (p = 0.006, OR = 3.88 95% CI 1.54-9.81). In the replication set, rs427554 (G > A) in PIK3R5 (in complete linkage disequilibrium with rs444904) was associated with an increased risk of bevacizumab-induced hypertension (p = 0.008, OR = 1.39, 95% CI 1.09-1.78). This study identified a predictive marker of drug-induced hypertension that should be evaluated for other VEGF-pathway inhibitors.ClinicalTrials.gov Identifier:NCT00073307 (TARGET).

KDR genetic predictor of toxicities induced by sorafenib and regorafenib.

No biomarkers are available to predict toxicities induced by VEGFR TKIs. This study aimed to identify markers of toxicities induced by these drugs using a discovery-validation approach. The discovery set included 140 sorafenib-treated cancer patients (TARGET study) genotyped for SNPs in 56 genes. The most significant SNPs associated with grade ≥2 hypertension, diarrhea, dermatologic toxicities, and composite toxicity (any one of the toxicities) were tested for association with grade ≥2 toxicity in a validation set of 201 sorafenib-treated patients (Alliance/CALGB 80802). The validated SNP was tested for association with grade ≥2 toxicity in 107 (LCCC 1029) and 82 (Italian cohort) regorafenib-treated patients. SNP-toxicity associations were evaluated using logistic regression, and a meta-analysis between the studies was performed by inverse variance. Variant rs4864950 in KDR increased the risk of grade ≥2 composite toxicity in TARGET, Alliance/CALGB 80802, and the Italian cohort (meta-analysis p = 6.79 × 10-4, OR = 2.01, 95% CI 1.34-3.01). We identified a predictor of toxicities induced by VEGFR TKIs. CLINICALTRIALS.GOV IDENTIFIER: NCT00073307 (TARGET), NCT01015833 (Alliance/CALGB 80802), and NCT01298570 (LCCC 1029).

Identification of Expression Profiles Defining Distinct Prognostic Subsets of Radioactive-Iodine Refractory Differentiated Thyroid Cancer from the DECISION Trial.

Several biomarkers have been suggested to have prognostic value in differentiated thyroid carcinomas (DTC) with no validation in the refractory setting, including all tumor subtypes. We aim to correlate RNA expression profiles with survival based on patients included in the DECISION trial. We obtained 247 samples from the 417 patients included in the DECISION study and performed RNAseq analysis (77 million paired-end reads for each sample on HiSeq2000). After quality control, 125 samples were included in the secondary analysis and mapped against the human reference genome (GRCh38) with STAR (v2.5.1b) using ENCODE parameter. Survival analysis was calculated using the Kaplan-Meier method and log-rank test was used for statistical comparison. In this post hoc analysis, we identified three groups of tumors based on their gene expression profile: BRAF-like, RAS-like, and non-BRAF-non-RAS-like (NoBRaL). No significant correlation with sorafenib responders was observed. However, we identified a statistically significant correlation between the RNA-expression profiles and progression-free survival. The BRAF-like profile had a significantly better outcome compared with RAS-like and NoBRaL (11.8, 6.2, and 5.5 months, respectively) [HR: 0.31, 95% confidence interval (CI), 0.17-0.60; P < 0.001 and HR: 0.36 (95% CI, 0.21-0.63); P < 0.001] and HR: 0.36 (95% CI, 0.21-0.63; P < 0.001) and maintained significance as an independent prognostic factor for overall survival in the multivariate analysis for papillary thyroid cancers. To our knowledge, this is the first comprehensive RNA-seq analysis of all histologic subtypes of DTC. The RNA expression profiles identified may suggest a new prognostic parameter to be considered before recommendation of systemic therapies or the design of stratification factors for future clinical trials.

On-Target Pharmacodynamic Activity of the PI3K Inhibitor Copanlisib in Paired Biopsies from Patients with Malignant Lymphoma and Advanced Solid Tumors.

The PI3K inhibitor copanlisib has efficacy and manageable safety in patients with indolent lymphoma and solid tumors. Pharmacodynamic effects relative to copanlisib dose and plasma exposure were evaluated. Patients with lymphoma or solid tumors received copanlisib 0.4 or 0.8 mg/kg on days 1, 8, and 15 of a 28-day cycle. Primary variables were maximum changes in phosphorylated AKT (pAKT) levels in platelet-rich plasma (PRP) and plasma glucose. Other evaluations included PI3K signaling markers and T-lymphocytes in paired tumor biopsies, the relationship between estimated plasma exposure and pharmacodynamic markers, response, and safety. Sixty-three patients received copanlisib. PRP pAKT levels showed sustained reductions from baseline following copanlisib [median inhibition: 0.4 mg/kg, 73.8% (range -94.9 to 144.0); 0.8 mg/kg, 79.6% (range -96.0 to 408.0)]. Tumor pAKT was reduced versus baseline with copanlisib 0.8 mg/kg in paired biopsy samples (P < 0.05). Dose-related transient plasma glucose elevations were observed. Estimated copanlisib plasma exposure significantly correlated with changes in plasma pAKT and glucose metabolism markers. There were two complete responses and six partial responses; seven of eight responders received copanlisib 0.8 mg/kg. Adverse events (all grade) included hyperglycemia (52.4%), fatigue (46.0%), and hypertension (41.3%). Copanlisib demonstrated dose-dependent pharmacodynamic evidence of target engagement and PI3K pathway modulation/inhibition in tumor and immune cells. Results support the use of copanlisib 0.8 mg/kg (or flat-dose equivalent of 60 mg) in solid tumors and lymphoma, and provide a biomarker hypothesis for studies of copanlisib combined with immune checkpoint inhibitors (NCT03711058).

Analysis of Biomarkers and Association With Clinical Outcomes in Patients With Differentiated Thyroid Cancer: Subanalysis of the Sorafenib Phase III DECISION Trial.

PURPOSE: The phase III DECISION trial (NCT00984282; EudraCT:2009-012007-25) established sorafenib efficacy in locally recurrent or metastatic, progressive, differentiated thyroid cancer (DTC) refractory to radioactive iodine. We conducted a retrospective, exploratory biomarker analysis of patients from DECISION. EXPERIMENTAL DESIGN: Candidate biomarkers [15 baseline plasma proteins, baseline and during-treatment serum thyroglobulin, and relevant tumor mutations (BRAF, NRAS, HRAS, and KRAS)] were analyzed for correlation with clinical outcomes. RESULTS: Plasma biomarker and thyroglobulin data were available for 395 of 417 (94.7%) and 403 of 417 (96.6%) patients, respectively. Elevated baseline VEGFA was independently associated with poor prognosis for progression-free survival [PFS; HR = 1.82; 95% confidence interval (CI), 1.38-2.44; P = 0.0007], overall survival (HR = 2.13; 95% CI, 1.37-3.36; P = 0.013), and disease-control rate (DCR; OR = 0.30; P = 0.009). Elevated baseline thyroglobulin was independently associated with poor PFS (HR = 2.03; 95% CI, 1.52-2.71; P < 0.0001) and DCR (OR = 0.32; P = 0.01). Combined VEGFA/thyroglobulin signatures correlated with poor PFS (HR = 2.12; 95% CI, 1.57-2.87; P < 0.00001). Thyroglobulin decrease ≥30% from baseline was achieved by 76% and 14% of patients receiving sorafenib and placebo, respectively (P < 0.001). Patients with ≥30% thyroglobulin reduction had longer PFS than those without ≥30% reduction [HR (95% CI): sorafenib = 0.61 (0.40-0.94), P = 0.022; placebo = 0.49 (0.29-0.85), P = 0.009]. BRAF mutations were associated with better PFS; RAS mutations were associated with worse PFS, although neither was independently prognostic in multivariate models. No examined biomarker predicted sorafenib benefit. CONCLUSIONS: We identified biomarkers associated with poor prognosis in DTC, including elevated baseline VEGFA and thyroglobulin and the presence of RAS mutations. Serum thyroglobulin may be a biomarker of tumor response and progression.

Exposure-Response Modeling and Simulation of Progression-Free Survival and Adverse Events of Sorafenib Treatment in Patients With Advanced Thyroid Cancer.

Sorafenib is an oral multikinase inhibitor approved for the treatment of differentiated thyroid carcinoma (DTC), renal cell carcinoma, and hepatocellular carcinoma. In the phase III DECISION trial in patients with DTC, sorafenib exposure and the incidence of some adverse events (AEs) were higher than in previous trials; therefore, we analyzed exposure-response relationships, including progression-free survival (PFS) and selected AEs in patients with DTC. A novel, stratified prediction-corrected visual predictive check (pc-VPC) was developed to show robustness of the exposure-response relationships. Time-to-event simulations confirmed the benefit of the recommended dosing schedule of 800 mg/day: initial doses of 800 mg/day were associated with the highest PFS, whereas lower doses (600 or 400 mg/day) were associated with improved tolerability but reduced PFS. A simulated dose-reduction strategy of 800 mg/day for an initial two cycles followed by dose reductions seemed likely to maintain efficacy while possibly mitigating selected AEs (e.g., diarrhea and hand-foot skin reactions).

Genetic Variants of VEGFA and FLT4 Are Determinants of Survival in Renal Cell Carcinoma Patients Treated with Sorafenib.

Molecular markers of sorafenib efficacy in patients with metastatic renal cell carcinoma (mRCC) are not available. The purpose of this study was to discover genetic markers of survival in patients with mRCC treated with sorafenib. Germline variants from 56 genes were genotyped in 295 patients with mRCC. Variant-overall survival (OS) associations were tested in multivariate regression models. Mechanistic studies were conducted to validate clinical associations. VEGFA rs1885657, ITGAV rs3816375, and WWOX rs8047917 (sorafenib arm), and FLT4 rs307826 and VEGFA rs3024987 (sorafenib and placebo arms combined) were associated with shorter OS. FLT4 rs307826 increased VEGFR-3 phosphorylation, membrane trafficking, and receptor activation. VEGFA rs1885657 and rs58159269 increased transcriptional activity of the constructs containing these variants in endothelial and RCC cell lines, and VEGFA rs58159269 increased endothelial cell proliferation and tube formation. FLT4 rs307826 and VEGFA rs58159269 led to reduced sorafenib cytotoxicity. Genetic variation in VEGFA and FLT4 could affect survival in sorafenib-treated patients with mRCC. These markers should be examined in additional malignancies treated with sorafenib and in other angiogenesis inhibitors used in mRCC. SIGNIFICANCE: Clinical and mechanistic data identify germline genetic variants in VEGFA and FLT4 as markers of survival in patients with metastatic renal cell carcinoma.

Biomarker Analyses of Clinical Outcomes in Patients with Advanced Hepatocellular Carcinoma Treated with Sorafenib with or without Erlotinib in the SEARCH Trial.

PURPOSE: Sorafenib is the current standard therapy for advanced hepatocellular carcinoma, but validated biomarkers predicting clinical outcomes are lacking. This study aimed to identify biomarkers predicting prognosis and/or response to sorafenib, with or without erlotinib, in hepatocellular carcinoma patients from the phase III SEARCH trial. EXPERIMENTAL DESIGN: A total of 720 patients were randomized to receive oral sorafenib 400 mg twice daily plus erlotinib 150 mg once daily or placebo. Fifteen growth factors relevant to the treatment regimen and/or to hepatocellular carcinoma were measured in baseline plasma samples. RESULTS: Baseline plasma biomarkers were measured in 494 (69%) patients (sorafenib plus erlotinib, n = 243; sorafenib plus placebo, n = 251). Treatment arm-independent analyses showed that elevated hepatocyte growth factor [HGF; HR, 1.687 (high vs. low expression); endpoint multiplicity adjusted (e-adj) P = 0.0001] and elevated plasma VEGFA (HR, 1.386; e-adj P = 0.0377) were significantly associated with poor overall survival (OS) in multivariate analyses, and low plasma KIT [HR, 0.75 (high vs. low); P = 0.0233; e-adj P = 0.2793] tended to correlate with poorer OS. High plasma VEGFC independently correlated with longer TTP (HR, 0.633; e-adj P = 0.0010) and trended toward associating with improved disease control rate (univariate: OR, 2.047; P = 0.030; e-adj P = 0.420). In 67% of evaluable patients (339/494), a multimarker signature of HGF, VEGFA, KIT, EPGN, and VEGFC correlated with improved median OS in multivariate analysis (HR, 0.150; P < 0.00001). No biomarker predicted efficacy from erlotinib. CONCLUSIONS: Baseline plasma HGF, VEGFA, KIT, and VEGFC correlated with clinical outcomes in hepatocellular carcinoma patients treated with sorafenib with or without erlotinib. These biomarkers plus EPGN constituted a multimarker signature for improved OS. Clin Cancer Res; 22(19); 4870-9. ©2016 AACR.

Plasma biomarkers as predictors of outcome in patients with advanced hepatocellular carcinoma.

PURPOSE: Validated biomarkers of prognosis and response to drug have not been identified for patients with hepatocellular carcinoma (HCC). One of the objectives of the phase III, randomized, controlled Sorafenib HCC Assessment Randomized Protocol (SHARP) trial was to explore the ability of plasma biomarkers to predict prognosis and therapeutic efficacy. EXPERIMENTAL DESIGN: In SHARP, 602 patients with advanced HCC were randomized to receive either oral sorafenib 400 mg twice a day per os or matching placebo daily on a continuous basis. Ten plasma biomarkers implicated in the pathogenesis of HCC were measured in 491 patients at baseline and in 305 after 12 weeks of treatment. The candidate biomarkers were analyzed to identify correlates of prognosis or predictors of response to sorafenib. RESULTS: In both the entire patient population and the placebo cohort, baseline angiopoietin 2 (Ang2) and VEGF concentrations independently predicted survival. Clinical variables such as macroscopic vascular invasion, Eastern Cooperative Oncology Group (ECOG) performance status, and baseline α-fetoprotein and alkaline phosphatase concentrations also independently predicted survival in these groups. In the sorafenib cohort, trends toward enhanced survival benefit from sorafenib were observed in patients with high s-c-KIT or low hepatocyte growth factor concentration at baseline (P of interaction = 0.081 and 0.073, respectively). CONCLUSIONS: The angiogenesis biomarkers Ang2 and VEGF were independent predictors of survival in patients with advanced HCC. In contrast, none of the biomarkers tested significantly predicted response to sorafenib.

Inhibition of in vitro and in vivo T cell responses by recombinant human Tim-1 extracellular domain proteins.

Members of the T cell, Ig domain and mucin domain (Tim) family of proteins have recently been implicated in the control of T cell-mediated immune responses. Tim-1 (HUGO designation HAVCR1) polymorphisms have been linked to the regulation of atopy in mice and humans, suggestive of a role in immune regulation. Tim-1 is expressed upon activation of T cells. In concert with the increased expression of Tim-1, a binding partner for the extracellular domain of Tim-1 (eTim-1) was induced on activated T cells, and mRNA expression data was consistent with the binding partner being Tim-4. We found that co-immobilized recombinant eTim-1 was able to inhibit T cell activation mediated by CD3 + CD28 mAb. eTim-1 mediated its inhibitory effects on proliferation by arresting cell cycle at G(0)/G(1) phase through regulation of cell cycle proteins. In vivo, administration of eTim-1 proteins led to a decrease in both ear (contact hypersensitivity to oxazolone) and joint (methylated BSA antigen-induced arthritis) swelling. The inhibitory activity of eTim-1 in the T(h)1-dependent models was evidence that eTim-1 is able to modulate T cell responses. Manipulation of the Tim-1 interaction with its binding partner on T cells may therefore provide a novel target for therapeutic intervention in T cell-mediated diseases.