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Panitumumab Combination Study With Rilotumumab or Ganitumab in Wild-type Kirsten Rat Sarcoma Virus Oncogene Homolog (KRAS) Metastatic Colorectal Cancer (mCRC)

ABSTRACT: This study is a global, multicenter, open-label phase 1b and randomized, double-blinded, 2 part, phase 2 study designed to evaluate the safety and efficacy of rilotumumab or ganitumab in combination with panitumumab versus panitumumab alone in patients with metastatic colorectal cancer whose tumors are wild-type KRAS status.

DISEASE(S): Metastatic Colorectal Cancer,Rectal Neoplasms,Gastrointestinal Neoplasms,Colon Cancer,Gastrointestinal Cancer,Colorectal Cancer,Wild-type Kras Metastatic Colorectal Cancer.---------------------------------------------------------cáncer Colorrectal Metastásico Con Kras No Mutado,Colorectal Neoplasms,Rectal Cancer,Colonic Neoplasms

PROVIDER: 2063797 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

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Project description:IntroductionSpecific treatment options are lacking for Kirsten rat sarcoma viral oncogene homolog (KRAS)-mutated non-small-cell lung cancer (NSCLC) despite treatment advances in other mutation-driven subgroups.Patients and methodsIn this study we evaluated the multitargeted Janus kinase/TANK-binding kinase 1 (TBK1) inhibitor momelotinib combined with the mitogen/extracellular signal-related kinase (MEK)1/MEK2 inhibitor trametinib in patients with platinum-treated, refractory, metastatic, KRAS-mutated NSCLC. Dose escalations (3 + 3 design) were conducted with momelotinib in combination with trametinib 1.0 mg once daily, then with trametinib in combination with the maximum tolerated dose (MTD) of momelotinib. MTD was determined from dose-limiting toxicity (DLT) during patients' first 28-day cycle. Safety was the primary end point, and efficacy parameters, including disease control rate (DCR) at 8 weeks, were secondary end points.ResultsTwenty-one patients were enrolled (median age: 68 years; 14 [66.7%] female). The MTD was momelotinib 150 mg twice daily in combination with trametinib 1.0 mg once daily. DLTs that determined the MTD were increased alanine aminotransferase and fatigue. The most common adverse events of any grade were nausea (n = 14 [66.7%]), diarrhea (n = 11 [52.4%]), and fatigue (n = 11 [52.4%]). The most common Grade ≥3 event was hypoxia (n = 3 [14.3%]). No patients achieved objective response. DCR at 8 weeks was 12 patients (57.1%) (90% confidence interval [CI], 37.2%-75.5%). Median progression-free and overall survival were 3.6 months (90% CI, 2.2-5.6 months) and 7.4 months (90% CI, 4.0-15.3 months), respectively. Maximum momelotinib plasma concentrations were reached 1 to 2 hours after dosing, but were insufficient to achieve significant TBK1 inhibition.ConclusionThe additional use of momelotinib with trametinib does not improve on the activity of single-agent trametinib in KRAS-mutated NSCLC on the basis of historic data.

Project description:ObjectiveTo develop and validate radiomics models based on multiphasic CT in predicting Kirsten rat sarcoma virus (KRAS) gene mutation status in patients with colorectal cancer (CRC).Materials and methodsA total of 231 patients with pathologically confirmed CRC were retrospectively enrolled and randomly divided into training(n=184) and test groups(n=47) in a ratio of 4:1. A total of 1316 quantitative radiomics features were extracted from non-contrast phase (NCP), arterial-phase (AP) and venous-phase (VP) CT for each patient. Four steps were applied for feature selection including Spearman correlation analysis, variance threshold, least absolute contraction and selection operator, and multivariate stepwise regression analysis. Clinical and pathological characteristics were also assessed. Subsequently, three classification methods, logistic regression (LR), support vector machine (SVM) and random tree (RT) algorithm, were applied to develop seven groups of prediction models (NCP, AP, VP, AP+VP, AP+VP+NCP, AP&VP, AP&VP&NCP) for KRAS mutation prediction. The performance of these models was evaluated by receiver operating characteristics curve (ROC) analysis.ResultsAmong the three groups of single-phase models, the AP model, developed by LR algorithm, showed the best prediction performance with an AUC value of 0.811 (95% CI:0.685-0.938) in the test cohort. Compared with the single-phase models, the dual-phase (AP+VP) model with the LR algorithm showed better prediction performance (AUC=0.826, 95% CI:0.700-0.952). The performance of multiphasic (AP+VP+NCP) model with the LR algorithm (AUC=0.811, 95%CI: 0.679-0.944) is comparable to the model with the SVM algorithm (AUC=0.811, 95%CI: 0.695-0.918) in the test cohort, but the sensitivity, specificity, and accuracy of the multiphasic (AP+VP+NCP) model with the LR algorithm were 0.810, 0.808, 0.809 respectively, which were highest among these seven groups of prediction models in the test cohort.ConclusionThe CT radiomics models have the potential to predict KRAS mutation in patients with CRC; different phases may affect the predictive efficacy of radiomics model, of which arterial-phase CT is more informative. The combination of multiphasic CT images can further improve the performance of radiomics model.

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Panitumumab Combination Study With Rilotumumab or Ganitumab in Wild-type Kirsten Rat Sarcoma Virus Oncogene Homolog (KRAS) Metastatic Colorectal Cancer (mCRC)

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