Sorafenib dose escalation is not uniformly associated with blood pressure elevations in normotensive patients with advanced malignancies.

Hypertension after treatment with vascular endothelial growth factor (VEGF) receptor inhibitors is associated with superior treatment outcomes for advanced cancer patients. To determine whether increased sorafenib doses cause incremental increases in blood pressure (BP), we measured 12-h ambulatory BP in 41 normotensive advanced solid tumor patients in a randomized dose-escalation study. After 7 days' treatment (400 mg b.i.d.), mean diastolic BP (DBP) increased in both study groups. After dose escalation, group A (400 mg t.i.d.) had marginally significant further increase in 12-h mean DBP (P = 0.053), but group B (600 mg b.i.d.) did not achieve statistically significant increases (P = 0.25). Within groups, individuals varied in BP response to sorafenib dose escalation, but these differences did not correlate with changes in steady-state plasma sorafenib concentrations. These findings in normotensive patients suggest BP is a complex pharmacodynamic biomarker of VEGF inhibition. Patients have intrinsic differences in sensitivity to sorafenib's BP-elevating effects

Improving phase II oncology trials using best observed RECIST response as an endpoint by modelling continuous tumour measurements.

In many phase II trials in solid tumours, patients are assessed using endpoints based on the Response Evaluation Criteria in Solid Tumours (RECIST) scale. Often, analyses are based on the response rate. This is the proportion of patients who have an observed tumour shrinkage above a predefined level and no new tumour lesions. The augmented binary method has been proposed to improve the precision of the estimator of the response rate. The method involves modelling the tumour shrinkage to avoid dichotomising it. However, in many trials the best observed response is used as the primary outcome. In such trials, patients are followed until progression, and their best observed RECIST outcome is used as the primary endpoint. In this paper, we propose a method that extends the augmented binary method so that it can be used when the outcome is best observed response. We show through simulated data and data from a real phase II cancer trial that this method improves power in both single-arm and randomised trials. The average gain in power compared to the traditional analysis is equivalent to approximately a 35% increase in sample size. A modified version of the method is proposed to reduce the computational effort required. We show this modified method maintains much of the efficiency advantages

Designing exploratory cancer trials using change in tumour size as primary endpoint

In phase III cancer clinical trials, overall survival is commonly used as the definitive endpoint. In phase II clinical trials, however, more immediate endpoints such as incidence of complete or partial response within 1 or 2 months or progression-free survival (PFS) are generally used. Because of the limited ability to detect change in overall survival with response, the inherent variability of PFS and the long wait for progression to be observed, more informative and immediate alternatives to overall survival are desirable in exploratory phase II trials. In this paper, we show how comparative trials can be designed and analysed using change in tumour size as the primary endpoint. The test developed is based on the framework of score statistics and will formally incorporate the information of whether patients survive until the time at which change in tumour size is assessed. Using an example in non-small cell lung cancer, we show that the sample size requirements for a trial based on change in tumour size are favourable compared with alternative randomized trials and demonstrate that these conclusions are robust to our assumptions

Evaluation of treatment efficacy using a Bayesian mixture piecewise linear model of longitudinal biomarkers

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111181/1/sim6445.pd

Evaluation of a novel rash scale and a serum proteomic predictor in a randomized phase II trial of sequential or concurrent cetuximab and pemetrexed in previously treated non-small cell lung cancer

BACKGROUND: Candidate predictive biomarkers for epidermal growth factor receptor inhibitors (EGFRi), skin rash and serum proteomic assays, require further qualification to improve EGFRi therapy in non-small cell lung cancer (NSCLC). In a phase II trial that was closed to accrual because of changes in clinical practice we examined the relationships among candidate biomarkers, quantitative changes in tumor size, progression-free and overall survival. METHODS: 55 patients with progressive NSCLC after platinum therapy were randomized to receive (Arm A) cetuximab, followed by pemetrexed at progression, or (Arm B) concurrent cetuximab and pemetrexed. All received cetuximab monotherapy for the first 14 days. Pre-treatment serum and weekly rash assessments by standard and EGFRi-induced rash (EIR) scales were collected. RESULTS: 43 patients (20-Arm A, 23-Arm B) completed the 14-day run-in. Median survival was 9.1 months. Arm B had better median overall (Arm B = 10.3 [95% CI 7.5, 16.8]; Arm A = 3.5 [2.8, 11.7] months P = 0.046) and progression-free survival (Arm B = 2.3 [1.6, 3.1]; Arm A = 1.6 [0.9, 1.9] months P = 0.11). The EIR scale distributed ratings among 6 rather than 3 categories but ordinal scale rash severity did not predict outcomes. The serum proteomic classifier and absence of rash after 21 days of cetuximab did. CONCLUSIONS: Absence of rash after 21 days of cetuximab therapy and the serum proteomic classifier, but not ordinal rash severity, were associated with NSCLC outcomes. Although in a small study, these observations were consistent with results from larger retrospective analyses. TRIAL REGISTRATION: Clinicaltrials.gov Identifier NCT0020393

Surgical myomectomy followed by oral Myfembree vs standard of care (SOUL trial): Study protocol for a randomized control trial

Background: Uterine leiomyomas (often referred to as fibroids or myomas) are common benign, hormone-dependent tumors that grow in the uterus and occur in approximately 25% of reproductive age women, depending on selected population. Treatment recommendation is typically based on fibroid size, location, the patient’s age, reproductive plans, and obstetrical history. Despite the range of treatment options available for uterine fibroids and their symptoms, including hysterectomy, myomectomy, endometrial ablation, endometrial uterine artery embolization, and magnetic resonance-guided focused-ultrasound surgery, myomectomy remains the gold standard treatment for patients who desire fertility-preserving surgery for their uterine fibroids. Myomectomy, while a prevalent surgical option for the removal of fibroids, carries known risks such as fibroid recurrence, symptom recurrence, and the subsequent need for reintervention. Despite ongoing research and advances in medical treatments for fibroids, there currently are no universally recommended therapeutic interventions proven to effectively delay the recurrence of fibroids or the return of symptoms following this procedure. This situation underscores a significant area of unmet medical need and highlights the importance of continued investigation into preventive strategies and long-term management options for patients undergoing fibroid removal with uterine preservation. We designed a study to assess the efficacy of the new FDA-approved GnRH antagonist, Myfembree in delaying the return of fibroids and their associated symptoms. Methods: A randomized, prospective, open-label clinical trial. The participants (n = 136) will be randomly distributed into two groups. The Control Group (Standard of care) will receive treatment with standard of care (SoC) after surgical myomectomy and the treatment group will receive Relugolix combination therapy (Myfembree®) after surgical myomectomy. The study protocol was approved by the University of Chicago’s Institutional Review Board (IRB#22–0282), ensuring that all participants would provide written informed consent before their inclusion. Discussion: In this project, we propose the use of daily dosed Relugolix combination therapy (Relugolix with estradiol and norethindrone acetate), which is approved for uterine fibroids treatment, has the potential to delay the recurrence of fibroid symptoms, prolong the improved quality of life and delay need for re-intervention after uterine sparing surgery. Trial registration: The study protocol was approved by the Institutional Review Board of the University of Chicago on 9/16/2022 and was registered at ClinicalTrials.gov with number NCT05538689 on Sep 7, 2022. All subjects will provide informed consent to participate.</p

Phase II trial of dasatinib for recurrent or metastatic c-KIT expressing adenoid cystic carcinoma and for nonadenoid cystic malignant salivary tumors

Adenoid cystic carcinoma (ACC) is a subtype of malignant salivary gland tumors (MSGT), in which 90% of cases express cKIT. Dasatinib is a potent and selective inhibitor of five oncogenic protein tyrosine kinases (PTKs)/kinase families including cKIT. We conducted a phase II study to determine the antitumor activity of dasatinib in ACC and non-ACC MSGT

Double‐Robust Semiparametric Estimator for Differences in Restricted Mean Lifetimes in Observational Studies

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/95382/1/BIOM_1759_sm_SuppMat.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/95382/2/j.1541-0420.2012.01759.x.pd

Estimating Differences in Restricted Mean Lifetime Using Observational Data Subject to Dependent Censoring

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87174/1/j.1541-0420.2010.01503.x.pd

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

The Thoracic Oncology Program Database Project was created to serve as a comprehensive, verified, and accessible repository for well-annotated cancer specimens and clinical data to be available to researchers within the Thoracic Oncology Research Program. This database also captures a large volume of genomic and proteomic data obtained from various tumor tissue studies. A team of clinical and basic science researchers, a biostatistician, and a bioinformatics expert was convened to design the database. Variables of interest were clearly defined and their descriptions were written within a standard operating manual to ensure consistency of data annotation. Using a protocol for prospective tissue banking and another protocol for retrospective banking, tumor and normal tissue samples from patients consented to these protocols were collected. Clinical information such as demographics, cancer characterization, and treatment plans for these patients were abstracted and entered into an Access database. Proteomic and genomic data have been included in the database and have been linked to clinical information for patients described within the database. The data from each table were linked using the relationships function in Microsoft Access to allow the database manager to connect clinical and laboratory information during a query. The queried data can then be exported for statistical analysis and hypothesis generation