Identifying predictive biomarkers for repetitive transcranial magnetic stimulation response in depression patients with explainability.

Repetitive Transcranial Magnetic Stimulation (rTMS) is an evidence-based treatment for depression. However, the patterns of response to this treatment modality are inconsistent. Whilst many people see a significant reduction in the severity of their depression following rTMS treatment, some patients do not. To support and improve patient outcomes, recent work is exploring the possibility of using Machine Learning to predict rTMS treatment outcomes. Our proposed model is the first to combine functional magnetic resonance imaging (fMRI) connectivity with deep learning techniques to predict treatment outcomes before treatment starts. Furthermore, with the use of Explainable AI (XAI) techniques, we identify potential biomarkers that may discriminate between rTMS responders and non-responders. Our experiments utilize 200 runs of repeated bootstrap sampling on two rTMS datasets. We compare performances between our proposed feedforward deep neural network against existing methods, and compare the average accuracy, balanced accuracy and F1-score on a held-out test set. The results of these experiments show that our model outperforms existing methods with an average accuracy of 0.9423, balanced accuracy of 0.9423, and F1-score of 0.9461 in a sample of 61 patients. We found that functional connectivity measures between the Subgenual Anterior Cingulate Cortex and Centeral Opercular Cortex are a key determinant of rTMS treatment response. This knowledge provides psychiatrists with further information to explore the potential mechanisms of responses to rTMS treatment. Our developed prototype is ready to be deployed across large datasets in multiple centres and different countries.

Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment.

Informatics paradigms for brain and mental health research have seen significant advances in recent years. These developments can largely be attributed to the emergence of new technologies such as machine learning, deep learning, and artificial intelligence. Data-driven methods have the potential to support mental health care by providing more precise and personalised approaches to detection, diagnosis, and treatment of depression. In particular, precision psychiatry is an emerging field that utilises advanced computational techniques to achieve a more individualised approach to mental health care. This survey provides an overview of the ways in which artificial intelligence is currently being used to support precision psychiatry. Advanced algorithms are being used to support all phases of the treatment cycle. These systems have the potential to identify individuals suffering from mental health conditions, allowing them to receive the care they need and tailor treatments to individual patients who are mostly to benefit. Additionally, unsupervised learning techniques are breaking down existing discrete diagnostic categories and highlighting the vast disease heterogeneity observed within depression diagnoses. Artificial intelligence also provides the opportunity to shift towards evidence-based treatment prescription, moving away from existing methods based on group averages. However, our analysis suggests there are several limitations currently inhibiting the progress of data-driven paradigms in care. Significantly, none of the surveyed articles demonstrate empirically improved patient outcomes over existing methods. Furthermore, greater consideration needs to be given to uncertainty quantification, model validation, constructing interdisciplinary teams of researchers, improved access to diverse data and standardised definitions within the field. Empirical validation of computer algorithms via randomised control trials which demonstrate measurable improvement to patient outcomes are the next step in progressing models to clinical implementation.

In Vivo Evaluation of Fibroblast Growth Factor Receptor Inhibition in Mouse Xenograft Models of Gastrointestinal Stromal Tumor.

Advanced gastrointestinal stromal tumors (GIST) are typically treated with tyrosine kinase inhibitors, and imatinib is the most commonly used standard of care in first line treatments. The use of this and other tyrosine kinase inhibitors is associated with objective tumor responses and prolongation of progression-free and overall survival, but the treatment of metastatic disease is non-curative due to the selection or acquisition of secondary mutations and the activation of alternative kinase signaling pathways, leading to resistance and disease progression after an initial response. The present preclinical study evaluated the potential use of the fibroblast growth factor receptor inhibitors infigratinib and dovitinib alone or in combination with the mitogen-activated protein kinase inhibitor binimetinib in mouse models of GIST with different sensitivity or resistance to imatinib. Patient- and cell-line-derived GIST xenografts were established by bilateral, subcutaneous transplantation of human GIST tissue in female adult nu/nu NMRI mice. The mice were treated with dovitinib, infigratinib, or binimetinib, either alone or in combination with imatinib. The safety of treated animals was assessed by well-being inspection and body weight measurement. Antitumor effects were assessed by caliper-based tumor measurement. H&E staining and immunohistochemistry were used for assessing anti-mitotic and pro-apoptotic activity of the experimental treatments. Western blotting was used for assessing effects of the agents on kinase signaling pathways. Anti-angiogenic activity was assessed by measuring tumor vessel density. Dovitinib was found to have antitumor efficacy in GIST xenografts characterized by different imatinib resistance patterns. Dovitinib had better efficacy than imatinib (both at standard and increased dose) and was found to be well tolerated. Dovitinib had better efficacy in a KIT exon 9 mutant model, highlighting a role of patient selection in clinical GIST trials with the agent. In a model with KIT exon 11 and 17 mutations, dovitinib induced tumor necrosis, most likely due to anti-angiogenic effects. Additive effects combining dovitinib with binimetinib were limited.

Circulating tumour DNA in patients with advanced melanoma treated with dabrafenib or dabrafenib plus trametinib: a clinical validation study.

BACKGROUND: Melanoma lacks validated blood-based biomarkers for monitoring and predicting treatment efficacy. Cell-free circulating tumour DNA (ctDNA) is a promising biomarker; however, various detection methods have been used, and, to date, no large studies have examined the association between serial changes in ctDNA and survival after BRAF, MEK, or BRAF plus MEK inhibitor therapy. We aimed to evaluate whether baseline ctDNA concentrations and kinetics could predict survival outcomes. METHODS: In this clinical validation study, we used analytically validated droplet digital PCR assays to measure BRAFV600-mutant ctDNA in pretreatment and on-treatment plasma samples from patients aged 18 years or older enrolled in two clinical trials. COMBI-d (NCT01584648) was a double-blind, randomised phase 3 study of dabrafenib plus trametinib versus dabrafenib plus placebo in previously untreated patients with BRAFV600 mutation-positive unresectable or metastatic melanoma. Patients had an Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1. COMBI-MB (NCT02039947) was an open-label, non-randomised, phase 2 study evaluating dabrafenib plus trametinib in patients with BRAFV600 mutation-positive metastatic melanoma and brain metastases. Patients in cohort A of COMBI-MB had asymptomatic brain metastases, no previous local brain-directed therapy, and an ECOG performance status of 0 or 1. Biomarker analysis was a prespecified exploratory endpoint in both trials and performed in the intention-to-treat populations in COMBI-d and COMBI-MB. We investigated the association between mutant copy number (baseline or week 4 or zero conversion status) and efficacy endpoints (progression-free survival, overall survival, and best overall response). We used Cox models, Kaplan-Meier plots, and log-rank tests to explore the association of pretreatment ctDNA concentrations with progression-free survival and overall survival. The effect of additional prognostic variables such as lactate dehydrogenase was also investigated in addition to the mutant copy number. FINDINGS: In COMBI-d, pretreatment plasma samples were available from 345 (82%) of 423 patients and on-treatment (week 4) plasma samples were available from 224 (53%) of 423 patients. In cohort A of COMBI-MB, pretreatment and on-treatment samples were available from 38 (50%) of 76 patients with intracranial and extracranial metastatic melanoma. ctDNA was detected in pretreatment samples from 320 (93%) of 345 patients (COMBI-d) and 34 (89%) of 38 patients (COMBI-MB). When assessed as a continuous variable, elevated baseline BRAFV600 mutation-positive ctDNA concentration was associated with worse overall survival outcome (hazard ratio [HR] 1·13 [95% CI 1·09-1·18], p<0·0001 by univariate analysis), independent of treatment group and baseline lactate dehydrogenase concentrations (1·08 [1·03-1·13], p=0·0020), in COMBI-d. A ctDNA cutoff point of 64 copies per mL of plasma stratified patients enrolled in COMBI-d as high risk or low risk with respect to survival outcomes (HR 1·74 [95% CI 1·37-2·21], p<0·0001 for progression-free survival; 2·23 [1·73-2·87], p<0·0001 for overall survival) and was validated in the COMBI-MB cohort (3·20 [1·39-7·34], p=0·0047 for progression-free survival; 2·94 [1·18-7·32], p=0·016 for overall survival). In COMBI-d, undetectable ctDNA at week 4 was significantly associated with extended progression-free and overall survival, particularly in patients with elevated lactate dehydrogenase concentrations (HR 1·99 [95% CI 1·08-3·64], p=0·027 for progression-free survival; 2·38 [1·24-4·54], p=0·0089 for overall survival). INTERPRETATION: Pretreatment and on-treatment BRAFV600-mutant ctDNA measurements could serve as independent, predictive biomarkers of clinical outcome with targeted therapy. FUNDING: Novartis.

Clean, robust alkali sources by intercalation within highly oriented pyrolytic graphite.

We report the fabrication, characterization, and use of rubidium vapor dispensers based on highly oriented pyrolytic graphite (HOPG) intercalated with metallic rubidium. Compared to commercial chromate salt dispensers, these intercalated HOPG (IHOPG) dispensers hold an order of magnitude more rubidium in a similar volume, require less than one-fourth the heating power, and emit less than one-half as many impurities. Appropriate processing permits exposure of the IHOPG to atmosphere for over ninety minutes without any adverse effects. Intercalation of cesium, potassium, and lithium into HOPG has also been demonstrated in the literature, which suggests that IHOPG dispensers may also be made for those metals.

Adjuvant dabrafenib plus trametinib versus placebo in patients with resected, BRAFV600-mutant, stage III melanoma (COMBI-AD): exploratory biomarker analyses from a randomised, phase 3 trial.

BACKGROUND: Adjuvant dabrafenib plus trametinib reduced the risk of relapse versus placebo in patients with resected, BRAFV600-mutant, stage III melanoma in the phase 3 COMBI-AD trial. This prespecified exploratory biomarker analysis aimed to evaluate potential prognostic or predictive factors and mechanisms of resistance to adjuvant targeted therapy. METHODS: COMBI-AD is a randomised, double-blind, placebo-controlled, phase 3 trial comparing dabrafenib 150 mg orally twice daily plus trametinib 2 mg orally once daily versus two matched placebos. Study participants were at least 18 years of age and underwent complete resection of stage IIIA (lymph node metastases >1 mm), IIIB, or IIIC cutaneous melanoma, per American Joint Committee on Cancer 7th edition criteria, with a BRAFV600E or BRAFV600K mutation. Patients were randomly assigned (1:1) to the two treatment groups by an interactive voice response system, stratified by mutation type and disease stage. Patients, physicians, and the investigators who analysed data were masked to treatment allocation. The primary outcome was relapse-free survival, defined as the time from randomisation to disease recurrence or death from any cause. Biomarker assessment was a prespecified exploratory outcome of the trial. We assessed intrinsic tumour genomic features by use of next-generation DNA sequencing and characteristics of the tumour microenvironment by use of a NanoString RNA assay, which might provide prognostic and predictive information. This trial is registered with ClinicalTrials.gov, number NCT01682083, and is ongoing but no longer recruiting participants. FINDINGS: Between Jan 31, 2013, and Dec 11, 2014, 870 patients were enrolled in the trial. Median follow-up at data cutoff (April 30, 2018) was 44 months (IQR 38-49) in the dabrafenib plus trametinib group and 42 months (21-49) in the placebo group. Intrinsic tumour genomic features were assessed in 368 patients (DNA sequencing set) and tumour microenvironment characteristics were assessed in 507 patients (NanoString biomarker set). MAPK pathway genomic alterations at baseline did not affect treatment benefit or clinical outcome. An IFNγ gene expression signature higher than the median was prognostic for prolonged relapse-free survival in both treatment groups. Tumour mutational burden was independently prognostic for relapse-free survival in the placebo group (high TMB, top third; hazard ratio [HR] 0·56, 95% CI 0·37-0·85, p=0·0056), but not in the dabrafenib plus trametinib group (0·83, 95% CI 0·53-1·32, p=0·44). Patients with tumour mutational burden in the lower two terciles seem to derive a substantial long-term relapse-free survival benefit from targeted therapy (HR [versus placebo] 0·49, 95% CI 0·35-0·68, p<0·0001). However, patients with high tumour mutational burden seem to have a less pronounced benefit with targeted therapy (HR [versus placebo] 0·75, 95% CI 0·44-1·26, p=0·27), especially if they had an IFNγ signature lower than the median (HR 0·88 [95% CI 0·40-1·93], p=0·74). INTERPRETATION: Tumour mutational burden alone or in combination with IFNγ gene expression signature or other markers for an adaptive immune response might be of relevance for identifying patients with stage III melanoma who might derive clinical benefit from targeted therapy. Further validation in prospective clinical trials is warranted. FUNDING: Novartis Pharmaceuticals.

Radiation Oncology-Where to from Here? A Global Inquiry into the Perspectives of Radiation Oncology Professionals in Light of the Growing Cancer Epidemic.

INTRODUCTION: Radiation oncology is a vital tool in resisting the cancer epidemic affecting millions worldwide. This study queried the perspectives of radiation oncology professionals and sought their solutions in regard to current practice, future practice, outsourcing, and common values. METHODS: A mass consumer survey was distributed globally that collected quantitative and qualitative data from 245 radiation oncology professionals based in 47 countries. RESULTS: Participants scored the sector highly on the quality of current practice. The United States was identified as the perceived global leader in the practice of radiation oncology. The sector was considered moderately open to reform with suggestions of better training, greater resources, and incorporation of data informatics. A preference for paradigms involving private enterprise emerged. Appropriate outsourcing tasks and companies were identified and industry leaders evaluated. Remarkable accord was observed in values and priorities across professional groups and examined subsets. CONCLUSIONS: There is an opportunity to realize value through the application of successful global paradigms. Our research generated a unique performance evaluation of the sector by identifying the current situation and areas open to reform. The required shift in the role of government from provider to regulator implied a mandate for a reorientation of policy settings with greater emphasis on free enterprise solutions that maximize value and ultimately advance patient care.

A Feasibility Study on the Use of TomoTherapy Megavoltage Computed Tomography Images for Palliative Patient Treatment Planning.

Dedicated rapid access palliative radiation therapy improves patients' access to care, allowing more timely treatment which would positively impact on quality of life. The TomoTherapy (Accuray, Sunnyvale, CA) system provides megavoltage (MV) fan-beam computed tomography (FBCT) as the image guidance technique, and a module called "statRT" that allows the use of these MV FBCT images for direct planning. The possibility of using this imaging modality for palliative radiotherapy treatment planning is assessed against accepted planning CT standards by performing tests following AAPM TG 66 and an end-to-end measurement. Results have shown that MV FBCT images acquired by TomoTherapy are of sufficient quality for the purpose of target delineation and dose calculation for palliative treatments. Large image noise and extended scan acquisition time are the two main drawbacks, so this imaging modality should only be used for palliative treatments at areas with well-known, easily distinguishable, and relatively immobile targets such as spine and whole brain.

Static beam tomotherapy as an optimisation method in whole-breast radiation therapy (WBRT).

INTRODUCTION: TomoTherapy (Accuray, Sunnyvale, CA) has recently introduced a static form of tomotherapy: TomoDirect™ (TD). This study aimed to evaluate TD against a contemporary intensity modulated radiation therapy (IMRT) alternative through comparison of target and organ at risk (OAR) doses in breast cancer cases. A secondary objective was to evaluate planning efficiency by measuring optimisation times. METHODS: Treatment plans of 27 whole-breast radiation therapy (WBRT) patients optimised with a tangential hybrid IMRT technique were replanned using TD. Parameters included a dynamic field width of 2.5 cm, a pitch of 0.251 and a modulation factor of 2.000; 50 Gy in 25 fractions was prescribed and planning time recorded. The planning metrics used in analysis were ICRU based, with the mean PTV minimum (D99 ) used as the point of comparison. RESULTS: Both modalities met ICRU50 target heterogeneity objectives (TD D99 = 48.0 Gy vs. IMRT = 48.1 Gy, P = 0.26; TD D1 = 53.5 Gy vs. IMRT = 53.0 Gy, P = 0.02; Homogeneity index TD = 0.11 vs. IMRT = 0.10, P = 0.03), with TD plans generating higher median doses (TD D50 = 51.1 Gy vs. IMRT = 50.9 Gy, P = 0.03). No significant difference was found in prescription dose coverage (TD V50 = 85.5% vs. IMRT = 82.0%, P = 0.09). TD plans produced a statistically significant reduction in V5 ipsilateral lung doses (TD V5 = 23.2% vs. IMRT = 27.2%, P = 0.04), while other queried OARs remained comparable (TD ipsilateral lung V20 = 13.2% vs. IMRT = 14.6%, P = 0.30; TD heart V5 = 2.7% vs. IMRT = 2.8%, P = 0.47; TD heart V10 = 1.7% vs. IMRT = 1.8%, P = 0.44). TD reduced planning time considerably (TD = 9.8 m vs. IMRT = 27.6 m, P < 0.01), saving an average planning time of 17.8 min per patient. CONCLUSIONS: TD represents a suitable WBRT treatment approach both in terms of plan quality metrics and planning efficiency.

Discovery and Pharmacological Characterization of JNJ-42756493 (Erdafitinib), a Functionally Selective Small-Molecule FGFR Family Inhibitor.

Fibroblast growth factor (FGF) signaling plays critical roles in key biological processes ranging from embryogenesis to wound healing and has strong links to several hallmarks of cancer. Genetic alterations in FGF receptor (FGFR) family members are associated with increased tumor growth, metastasis, angiogenesis, and decreased survival. JNJ-42756493, erdafitinib, is an orally active small molecule with potent tyrosine kinase inhibitory activity against all four FGFR family members and selectivity versus other highly related kinases. JNJ-42756493 shows rapid uptake into the lysosomal compartment of cells in culture, which is associated with prolonged inhibition of FGFR signaling, possibly due to sustained release of the inhibitor. In xenografts from human tumor cell lines or patient-derived tumor tissue with activating FGFR alterations, JNJ-42756493 administration results in potent and dose-dependent antitumor activity accompanied by pharmacodynamic modulation of phospho-FGFR and phospho-ERK in tumors. The results of the current study provide a strong rationale for the clinical investigation of JNJ-42756493 in patients with tumors harboring FGFR pathway alterations. Mol Cancer Ther; 16(6); 1010-20. ©2017 AACR.

Phase II, randomized, placebo-controlled study of dovitinib in combination with fulvestrant in postmenopausal patients with HR+, HER2- breast cancer that had progressed during or after prior endocrine therapy.

BACKGROUND: Overexpression of fibroblast growth factor receptor 1 (FGFR1), found in ≤8% of hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-) breast cancer cases, is correlated with decreased overall survival and resistance to endocrine therapy (ET). Dovitinib, a potent FGFR inhibitor, has demonstrated antitumor activity in heavily pretreated patients with FGFR pathway-amplified breast cancer. METHODS: In this randomized, placebo-controlled phase II trial, we evaluated whether the addition of dovitinib to fulvestrant would improve outcomes in postmenopausal patients with HR+, HER2- advanced breast cancer that had progressed during or after prior ET. Patients were stratified by FGF pathway amplification and presence of visceral disease, and they were randomized 1:1 to receive fulvestrant plus dovitinib or placebo. The primary endpoint was progression-free survival (PFS). RESULTS: From 15 May 2012 to 26 November 2014, 97 patients from 36 centers were enrolled. The frequency of FGF pathway amplification was lower than anticipated, and the study was terminated early owing to slow accrual of patients with FGF pathway amplification. The median PFS (95% CI) was 5.5 (3.8-14.0) months vs 5.5 (3.5-10.7) months in the dovitinib vs placebo arms, respectively (HR, 0.68; did not meet predefined efficacy criteria). For the FGF pathway-amplified subgroup (n = 31), the median PFS (95% CI) was 10.9 (3.5-16.5) months vs 5.5 (3.5-16.4) months in the dovitinib vs placebo arms, respectively (HR, 0.64; met the predefined superiority criteria). Frequently reported adverse events in the dovitinib (diarrhea, nausea, vomiting, asthenia, and headache) and placebo (diarrhea, fatigue, nausea, and asthenia) arms were mostly low grade. CONCLUSIONS: The safety profile of dovitinib plus fulvestrant was consistent with the known safety profile of single-agent dovitinib. Dovitinib in combination with fulvestrant showed promising clinical activity in the FGF pathway-amplified subgroup. However, the data reported herein should be interpreted with caution, given that fewer PFS events occurred in the FGF pathway-amplified patients than was expected and that an effect of dovitinib regardless of FGR pathway amplification status cannot be excluded, because the population was smaller than expected. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01528345 . Registered 31 January 2012.

Tumor cells with KRAS or BRAF mutations or ERK5/MAPK7 amplification are not addicted to ERK5 activity for cell proliferation.

ERK5, encoded by MAPK7, has been proposed to play a role in cell proliferation, thus attracting interest as a cancer therapeutic target. While oncogenic RAS or BRAF cause sustained activation of the MEK1/2-ERK1/2 pathway, ERK5 is directly activated by MEK5. It has been proposed that RAS and RAF proteins can also promote ERK5 activation. Here we investigated the interplay between RAS-RAF-MEK-ERK and ERK5 signaling and studied the role of ERK5 in tumor cell proliferation in 2 disease-relevant cell models. We demonstrate that although an inducible form of CRAF (CRAF:ER*) can activate ERK5 in fibroblasts, the response is delayed and reflects feed-forward signaling. Additionally, oncogenic KRAS and BRAF do not activate ERK5 in epithelial cells. Although KRAS and BRAF do not couple directly to MEK5-ERK5, ERK5 signaling might still be permissive for proliferation. However, neither the selective MEK5 inhibitor BIX02189 or ERK5 siRNA inhibited proliferation of colorectal cancer cells harbouring KRAS(G12C/G13D) or BRAF(V600E). Furthermore, there was no additive or synergistic effect observed when BIX02189 was combined with the MEK1/2 inhibitor Selumetinib (AZD6244), suggesting that ERK5 was neither required for proliferation nor a driver of innate resistance to MEK1/2 inhibitors. Finally, even cancer cells with MAPK7 amplification were resistant to BIX02189 and ERK5 siRNA, showing that ERK5 amplification does not confer addiction to ERK5 for cell proliferation. Thus ERK5 signaling is unlikely to play a role in tumor cell proliferation downstream of KRAS or BRAF or in tumor cells with ERK5 amplification. These results have important implications for the role of ERK5 as an anti-cancer drug target.

The identification and characterization of a STAT5 gene signature in hematologic malignancies.

BACKGROUND: The JAK-STAT pathway is an important signaling pathway downstream of multiple cytokine and growth factor receptors. Dysregulated JAK-STAT signaling has been implicated in the pathogenesis of multiple human malignancies. OBJECTIVE: Given this pivotal role of JAK-STAT dysregulation, it is important to identify patients with an overactive JAK-STAT pathway for possible treatment with JAK inhibitors. METHODS: We developed a gene signature assay to detect overactive JAK-STAT signaling. The cancer cell line encyclopedia and associated gene-expression data were used to correlate the activation status of STAT5 with the induction of a set of STAT5 target genes. RESULTS: Four target genes were identified (PIM1, CISH, SOCS2, and ID1), the expression of which correlated significantly with pSTAT5 status in 40 hematologic tumor cell lines. In pSTAT5-positive models, the expression of the gene signature genes decreased following ruxolitinib treatment, which corresponded to pSTAT5 downmodulation. In pSTAT5-negative cell lines, neither pSTAT5 modulation nor a change in signature gene expression was observed following ruxolitinib treatment. CONCLUSIONS: The gene signature can potentially be used to stratify or enrich for patient populations with activated JAK-STAT5 signaling that might benefit from treatments targeting JAK-STAT signaling. Furthermore, the 4-gene signature is a predictor of the pharmacodynamic effects of ruxolitinib.

Phase 2 trial of dovitinib in patients with progressive FGFR3-mutated or FGFR3 wild-type advanced urothelial carcinoma.

BACKGROUND: Second-line treatment options for patients with advanced urothelial carcinoma (UC) are limited. Fibroblast growth factor receptor 3 (FGFR3) is dysregulated in UC by activating mutations or protein overexpression in non-mutant tumours. In this study, the efficacy, pharmacodynamics and safety of dovitinib-a broad-targeted inhibitor of tyrosine kinases, including FGFR3-were evaluated in patients with previously treated advanced UC with and without FGFR3 mutations. METHODS: Forty-four adults with advanced UC who had progressed after one to three platinum-based and/or combination chemotherapy regimens were classified as having mutant (FGFR3(MUT); n=12), wild-type (FGFR3(WT); n=31), or unknown (n=1) FGFR3 status. Patients received 500 mg dovitinib once daily on a 5-days-on/2-days-off schedule. The primary end-point of this two-stage study was the investigator-assessed overall response rate (ORR). RESULTS: Most of the patients were men (75%) and over half of the patients were aged ⩾65 years (61%). All patients had received ⩾1 prior antineoplastic therapy for UC. The study was terminated at the end of stage 1, when it was determined by investigator review that the ORR of both the FGFR3(MUT) (0%; 95% confidence interval [CI], 0.0-26.5) and FGFR3(WT) (3.2%; 95% CI, 0.1-16.7) groups did not meet the criteria to continue to stage 2. The most common grade 3/4 adverse events, suspected to be study-drug related, included thrombocytopenia (9%), fatigue (9%), and asthenia (9%). CONCLUSION: Although generally well tolerated, dovitinib has very limited single-agent activity in patients with previously treated advanced UC, regardless of FGFR3 mutation status. clinicaltrials.gov NCT00790426.

Phase II results of Dovitinib (TKI258) in patients with metastatic renal cell cancer.

PURPOSE: Fibroblast growth factor (FGF) signaling regulates tumor growth and vascularization and partly mediates antiangiogenic escape from VEGF receptor (VEGFR) inhibitors. Dovitinib (TKI258) is a tyrosine kinase inhibitor (TKI) that inhibits FGF receptor (FGFR), VEGFR, and platelet-derived growth factor receptor, which are known drivers of antiangiogenic escape, angiogenesis, and tumor growth in renal cell carcinoma (RCC). EXPERIMENTAL DESIGN: Patients with advanced or metastatic RCC were treated with oral dovitinib 500 mg/day (5-days-on/2-days-off schedule). The study population was enriched for patients previously treated with a VEGFR TKI and an mTOR inhibitor. RESULTS: Of 67 patients enrolled, 55 patients (82.1%) were previously treated with ≥1 VEGFR TKI and ≥1 mTOR inhibitor (per-protocol efficacy set). The 8-week overall response rate and disease control rate in this population were 1.8% and 52.7%, respectively. Disease control rate during the entire study period was 56.4% (50.9% ≥4 months). Median progression-free survival and overall survival in the entire population were 3.7 and 11.8 months, respectively. Pharmacodynamic analyses demonstrated dovitinib-induced inhibition of VEGFR (as determined by increased levels of placental growth factor and decreased levels of soluble VEGFR2) and FGFR (as determined by increased FGF23 serum measures). The most frequently reported treatment-related adverse events of all grades included nausea (65.7%), diarrhea (62.7%), vomiting (61.2%), decreased appetite (47.8%), and fatigue (32.8%). CONCLUSION: Dovitinib was shown to be an effective and tolerable therapy for patients with metastatic RCC who had progressed following treatment with VEGFR TKIs and mTOR inhibitors. Clin Cancer Res; 20(11); 3012-22. ©2014 AACR.

Dovitinib versus sorafenib for third-line targeted treatment of patients with metastatic renal cell carcinoma: an open-label, randomised phase 3 trial.

BACKGROUND: An unmet medical need exists for patients with metastatic renal cell carcinoma who have progressed on VEGF-targeted and mTOR-inhibitor therapies. Fibroblast growth factor (FGF) pathway activation has been proposed as a mechanism of escape from VEGF-targeted therapies. Dovitinib is an oral tyrosine-kinase inhibitor that inhibits VEGF and FGF receptors. We therefore compared dovitinib with sorafenib as third-line targeted therapies in patients with metastatic renal cell carcinoma. METHODS: In this multicentre phase 3 study, patients with clear cell metastatic renal cell carcinoma who received one previous VEGF-targeted therapy and one previous mTOR inhibitor were randomly assigned through an interactive voice and web response system to receive open-label dovitinib (500 mg orally according to a 5-days-on and 2-days-off schedule) or sorafenib (400 mg orally twice daily) in a 1:1 ratio. Randomisation was stratified by risk group and region. The primary endpoint was progression-free survival (PFS) assessed by masked central review. Efficacy was assessed in all patients who were randomly assigned and safety was assessed in patients who received at least one dose of study drug. This study is registered with ClinicalTrials.gov, number NCT01223027. FINDINGS: 284 patients were randomly assigned to the dovitinib group and 286 to the sorafenib group. Median follow-up was 11·3 months (IQR 7·9-14·6). Median PFS was 3·7 months (95% CI 3·5-3·9) in the dovitinib group and 3·6 months (3·5-3·7) in the sorafenib group (hazard ratio 0·86, 95% CI 0·72-1·04; one-sided p=0·063). 280 patients in the dovitinib group and 284 in the sorafenib group received at least one dose of study drug. Common grade 3 or 4 adverse events included hypertriglyceridaemia (38 [14%]), fatigue (28 [10%]), hypertension (22 [8%]), and diarrhoea (20 [7%]) in the dovitinib group, and hypertension (47 [17%]), fatigue (24 [8%]), dyspnoea (21 [7%]), and palmar-plantar erythrodysaesthesia (18 [6%]) in the sorafenib group. The most common serious adverse event was dyspnoea (16 [6%] and 15 [5%] in the dovitinib and sorafenib groups, respectively). INTERPRETATION: Dovitinib showed activity, but this was no better than that of sorafenib in patients with renal cell carcinoma who had progressed on previous VEGF-targeted therapies and mTOR inhibitors. This trial provides reference outcome data for future studies of targeted inhibitors in the third-line setting. FUNDING: Novartis Pharmaceuticals Corporation.

Impact of mutational status on outcomes in myelofibrosis patients treated with ruxolitinib in the COMFORT-II study.

The JAK1/JAK2 inhibitor ruxolitinib produced significant reductions in splenomegaly and symptomatic burden and improved survival in patients with myelofibrosis (MF), irrespective of their JAK2 mutation status, in 2 phase III studies against placebo (COMFORT-I) and best available therapy (COMFORT-II). We performed a comprehensive mutation analysis to evaluate the impact of 14 MF-associated mutations on clinical outcomes in 166 patients included in COMFORT-II. We found that responses in splenomegaly and symptoms, as well as the risk of developing ruxolitinib-associated anemia and thrombocytopenia, occurred at similar frequencies across different mutation profiles. Ruxolitinib improved survival independent of mutation profile and reduced the risk of death in patients harboring a set of prognostically detrimental mutations (ASXL1, EZH2, SRSF2, IDH1/2) with an hazard ratio of 0.57 (95% confidence interval: 0.30-1.08) vs best available therapy. These data indicate that clinical efficacy and survival improvement may occur across different molecular subsets of patients with MF treated with ruxolitinib.

AT9283, a novel aurora kinase inhibitor, suppresses tumor growth in aggressive B-cell lymphomas.

Aurora kinases are oncogenic serine/threonine kinases that play key roles in regulating the mitotic phase of the eukaryotic cell cycle. Auroras are overexpressed in numerous tumors including B-cell non-Hodgkin's lymphomas and are validated oncology targets. AT9283, a pan-aurora inhibitor inhibited growth and survival of multiple solid tumors in vitro and in vivo. In this study, we demonstrated that AT9283 had potent activity against Aurora B in a variety of aggressive B-(non-Hodgkin lymphoma) B-NHL cell lines. Cells treated with AT9283 exhibited endoreduplication confirming the mechanism of action of an Aurora B inhibitor. Also, treatment of B-NHL cell lines with AT9283 induced apoptosis in a dose and time dependent manner and inhibited cell proliferation with an IC(50) < 1 µM. It is well known that inhibition of auroras (A or B) synergistically enhances the effects of microtubule targeting agents such as taxanes and vinca alkaloids to induce antiproliferation and apoptosis. We evaluated whether AT9283 in combination with docetaxel is more efficient in inducing apoptosis than AT9283 or docetaxel alone. At very low doses (5 nM) apoptosis was doubled in the combination (23%) compared to AT9283 or docetaxel alone (10%). A mouse xenograft model of mantle cell lymphoma demonstrated that AT9283 at 15 mg/kg and docetaxel (10 mg/kg) alone had modest anti-tumor activity. However, AT9283 at 20 mg/kg and AT9283 (15 or 20 mg/kg) plus docetaxel (10 mg/kg) demonstrated a statistically significant tumor growth inhibition and enhanced survival. Together, our results suggest that AT9283 plus docetaxel may represent a novel therapeutic strategy in B-cell NHL and warrant early phase clinical trial evaluation.

Potent, selective inhibitors of fibroblast growth factor receptor define fibroblast growth factor dependence in preclinical cancer models.

We describe here the identification and characterization of 2 novel inhibitors of the fibroblast growth factor receptor (FGFR) family of receptor tyrosine kinases. The compounds exhibit selective inhibition of FGFR over the closely related VEGFR2 receptor in cell lines and in vivo. The pharmacologic profile of these inhibitors was defined using a panel of human tumor cell lines characterized for specific mutations, amplifications, or translocations known to activate one of the four FGFR receptor isoforms. This pharmacology defines a profile for inhibitors that are likely to be of use in clinical settings in disease types where FGFR is shown to play an important role.