Ohio State University Comprehensive Cancer Center
Columbus, Ohio, 43210, United States
Location status: Recruiting
Location contact
Peter G. Shields, MD
CONTACT
Peter G. Shields, MD
PRINCIPAL_INVESTIGATOR
NCT Number: NCT03199651
This randomized clinical trial studies the Beating Lung Cancer in Ohio protocol in improving survival in patients with stage IV non-small cell lung cancer. The Beating Lung Cancer in Ohio protocol may help in evaluating immunotherapies and targeted therapies that prolong survival, have more favorable toxicity profiles than conventional chemotherapy and impact quality of life.
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Columbus, Ohio, 43210, United States
Location status: Recruiting
Peter G. Shields, MD
CONTACT
Peter G. Shields, MD
PRINCIPAL_INVESTIGATOR
PRIMARY OBJECTIVES:
1a. Establish a 3 month observation period for newly diagnosed stage IV non-small cell lung cancer patients (NSCLC)(n=300), using the statewide research network, documenting usual care (UC) practices, survival and quality of life and patients previously diagnosed with stage IV NSCLC within one year prior to initiating the study, (n=300).
1b. Establish a cohort of newly diagnosed stage IV non-small cell lung cancer patients (NSCLC), documenting usual care (UC) practices, survival and quality of life and patients previously diagnosed with stage IV NSCLC within one year prior to initiating the study, (n=800). This cohort will be limited to subjects directly recruited from Ohio State University for the duration of the study.
Phase 1: Over 9 months, sites will be randomized to offer patients either UC (70% of sites) or free advanced genomic and immunotherapy testing (AGIT) (next generation sequencing tumor or blood circulating tumor DNA and PD-L1 testing immunohistochemistry staining, 30% of sites), followed by medical record review and recontacting of patients, (n=900).
Phase 2: Over 12 months, sites will be randomized to offer patients AGIT or AGIT with decision support (DS) through a genomics board, followed by medical record review and recontacting of patients, (n=1200).
4a. We will identify tumor epigenetic biomarkers (DNA methylation by Illumina methylation profiling) for immunotherapy (IOT) response in stage IV NSCLC (n=50 participants each with PD-L1 expression <1% and >50%) and extend the results to the study of blood cell-free DNA (cfDNA).
4b. We will identify immune profile using blood transcriptomics as biomarkers for IOT Immune-Related Adverse Events (irAE) (n=50).
OUTLINE: Patients are randomized to 1 of 2 arms.
ARM I (UC): Patients receive usual care and undergo collection of tumor tissue and blood sample for the repository. Patients who smoke or have recently quit smoking and their household members who smoke may also undergo smoking cessation via usual care or NCCN driven-CTC/DS.
ARM II (AGIT/DS): Patients undergo collection of tumor tissue for analysis using FoundationOne assay and blood sample for analysis using FoundationACT blood circulating tumor DNA assay. Patients who smoke or have recently quit smoking and their household members who smoke may also undergo smoking cessation via usual care or NCCN driven-CTC/DS.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Receive usual care
Other names: standard of care, standard therapy
Undergo collection of tumor tissue and blood sample for repository
Correlative studies
Undergo medical record abstraction
Other names: Chart Review
Ancillary studies
Other names: Quality of Life Assessment
Ancillary studies
Undergo usual care or NCCN-driven CTC/DS
Other names: Smoking and Tobacco Use Cessation Interventions
Time frame: Up to 24 months
Using the payer perspective, Incremental Cost-Effectiveness Ratio (ICER) will be calculated based on estimates of overall survival/health care resource costs associated with treatment and the EQ5D questionnaire.
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves) and Kaplan-Meier plots to display survival curves.
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves).
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves).
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves).
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves).
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves) and Kaplan-Meier plots to display survival curves.
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves).
Time frame: Up to 3 years
Descriptive statistics (summaries, distributions, 95% confidence intervals) will be reported and compared with the two arms in the randomized trial phase. Graphical displays will be used to show distributions (boxplots, density curves) and Kaplan-Meier plots to display survival curves.
Time frame: Up to 24 months
For aim II, a linear mixed model will be used to model change in quality of life as subjects are transitioned from one therapy to the next, with a main effect for treatment group and random effect for hospital and patient nested within hospital. To allow for possible changes in trajectories over time (e.g., a change-point analysis) the 'segmented' package in R will be used. Trajectories for each treatment will be modeled using a segmented mixed model with random change points as implemented in R. Variables associated with missing values will be evaluated and potentially included in the mixed m
Time frame: Up to 6 months
Primary analysis will focus on smoking cessation at six months follow-up using generalized linear mixed models with a random effect for practice. The odds ratio and 95% confidence interval between smoking cessation and intervention arm will be reported based on the generalized linear mixed models model. As an alternative, we will also fit competing risks regression models (e.g., using the R package 'cmprsk') with death and smoking cessation as competing events. Subdistribution function hazard ratios for smoking cessation based on the intervention will be reported.
Time frame: Up to 3 years
Overall differences in survival between the advanced genomic and immunotherapy testing and usual care arms will be assessed using the log-rank test. Cox proportional hazards model will be fit with a random effect for hospital and time to obtain the hazard ratio and 95% confidence interval for the treatment effect (advanced genomic and immunotherapy testing versus usual care). Interaction between treatment and time (e.g., via a time-dependent treatment effect) will be evaluated to assess possible evolution in usual care over time. To assess clinical decision making and clinical trial referral.
Contact information is provided by the study sponsor or research team.
Sarah Reisinger
CONTACT
The Ohio State University Comprehensive Cancer Center
CONTACT
Ohio State University Comprehensive Cancer Center
Other
Beating Lung Cancer in Ohio (BLCIO) Protocol
Acronym: BLCIO
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT03865472
Cigarette Smoker, Current Every Day Smoker
Buffalo, New York, United States
View Trial DetailsNCT03824535
Behavior, Cigarette Smoker
Palo Alto, California, United States
View Trial DetailsNCT00850954
Cigarette Smoker, Current Smoker
Houston, Texas, United States
View Trial DetailsNCT02575885
Cigarette Smoker, Current Smoker
Buffalo, New York, United States
View Trial Details