RecruitingInterventional

Beating Lung Cancer in Ohio (BLCIO) Protocol

NCT ID: NCT03199651Sponsor: Ohio State University Comprehensive Cancer CenterLast updated: 2026-06-17

Summary

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.

Detailed description

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. 2\. Following the 3 month observation period, conduct a two-phase, cluster-randomized 21 month clinical trial in stage IV NSCLC patients (n=2100). 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). 3\. Following the Aim 1 three month observation period, for subjects enrolled in Aim 2 (both phases) who smoke or have recently quit smoking (n=336), and their household members who smoke (n=84), to conduct a 1 year smoking cessation intervention trial where subjects are randomized by site to receive UC or National Cancer Center Network (NCCN)-driven centralized telephone counseling and decision support (CTC/DS). 4\. Separately, we will identify epigenetic biomarkers as prognostic and predictive biomarkers and analyze immune profile as biomarkers for immune-related adverse events. Assays will be performed using samples and data from subjects who consent to the repository. 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.

Arms & interventions

OtherBest Practice
Receive usual care
ProcedureBiospecimen Collection
Undergo collection of tumor tissue and blood sample for repository
ProcedureBiospecimen Collection
Undergo tumor tissue and blood sample for AGIT/DS
OtherLaboratory Biomarker Analysis
Correlative studies
OtherMedical Chart Review
Undergo medical record abstraction
OtherQuality-of-Life Assessment
Ancillary studies
OtherQuestionnaire Administration
Ancillary studies
BehavioralSmoking Cessation Intervention
Undergo usual care or NCCN-driven CTC/DS

Outcome measures

Primary

Cost-Effectiveness Analysis
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 24 months
Overall survival (Aim I observational phase)
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
Percent of patients receiving first line targeted therapy (Aim I observational phase)
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
Percent of patients receiving genomic testing at diagnosis and type of genomic testing (Aim I observational phase)
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
Percent of patients receiving genomic testing later in treatment (Aim I observational phase)
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
Percent of patients receiving off label therapy (Aim I observational phase)
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
Percent of patients referred to clinical trials (Aim I observational phase)
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
Percent of patients who enroll in therapeutic clinical trials (Aim I observational phase)
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
Progression free survival (Aim I observational phase)
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
Quality of life assessed using European Organization for Research and Treatment-quality of life questionnaire
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 24 months
Smoking cessation (Aim III centralized telephone counseling/decision support)
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 6 months
Survival (Aim 2 advanced genomic and immunotherapy testing/decision support)
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.
Time frame: Up to 3 years

Eligibility criteria

Sex: AllAge: 18 Years and olderHealthy volunteers: No

Inclusion Criteria: * AIM 1-3 * Pathologically confirmed stage IV NSCLC (with any Eastern Cooperative Oncology Group \[ECOG\] performance status, and any NSCLC - adenocarcinoma, squamous cell, etc.) with available imaging OR patients who do not yet have their staging completed, but in the judgment of the physician are likely to be stage IV; * Patients may be enrolled if the recruiter cannot reach the patient by the first office visit, preferably prior to starting therapy and no later than one month after starting therapy; (NCCN guidelines allow for a switch to targeted therapy from chemotherapy if testing comes back positive after starting chemotherapy) * English speaking; and * Willing to provide access to medical records, insurance and billing data, biospecimens and respond to questionnaires, typically by phone, but possibly to include online or in-person surveys * AIM 3 ONLY * Patients must be current smokers who smoke at least one cigarette most days per week, or recent quitters who smoked at least one cigarette most days per week (\< 3 months); and * Household members must be current smokers, defined as smoking at least one cigarette most days per week * Hearing and vision impairments that would prevent ability to complete consent, interviews, or sample collection Exclusion Criteria: * Being treated with definitive chemoradiotherapy or surgery * Receiving treatment for advanced lung cancer for over one month before enrollment; OR

Study locations (1)

Ohio State University Comprehensive Cancer Center

Columbus, Ohio, 43210

Recruiting

Peter G. Shields, MD · Contact

614-688-6563 peter.shields@osumc.edu

Peter G. Shields, MD · Principal Investigator

References

Park KR, Shields PG, Myers JV, Reisinger SA, Andersen BL. Depression and Inflammation Predict Depression Trajectory of Non-Small Cell Lung Cancer Patients. Biopsychosoc Sci Med. 2025 Jul-Aug 01;87(6):397-404. doi: 10.1097/PSY.0000000000001379. Epub 2025 Jun 11.(PubMed)
Valentine TR, Park KR, Presley CJ, Shields PG, Andersen BL. Lung cancer patients' illness perceptions: Prognostic for psychological and physical health trajectories. Health Psychol. 2024 Dec;43(12):913-923. doi: 10.1037/hea0001416. Epub 2024 Sep 26.(PubMed)
Blevins TR, Lo SB, Coker CA, Arrato NA, Reisinger SA, Shields PG, Andersen BL. COVID-19 or Cancer Stress? Anxiety and Depressive Symptoms in Patients with Advanced Lung Cancer. Int J Behav Med. 2024 Apr;31(2):325-330. doi: 10.1007/s12529-023-10206-w. Epub 2023 Aug 18.(PubMed)
Andersen BL, Myers J, Blevins T, Park KR, Smith RM, Reisinger S, Carbone DP, Presley CJ, Shields PG, Carson WE. Depression in association with neutrophil-to-lymphocyte, platelet-to-lymphocyte, and advanced lung cancer inflammation index biomarkers predicting lung cancer survival. PLoS One. 2023 Feb 24;18(2):e0282206. doi: 10.1371/journal.pone.0282206. eCollection 2023.(PubMed)
Valentine TR, Presley CJ, Carbone DP, Shields PG, Andersen BL. Illness perception profiles and psychological and physical symptoms in newly diagnosed advanced non-small cell lung cancer. Health Psychol. 2022 Jun;41(6):379-388. doi: 10.1037/hea0001192.(PubMed)
Arrato NA, Lo SB, Coker CA, Covarrubias JJ, Blevins TR, Reisinger SA, Presley CJ, Shields PG, Andersen BL. Cancer Treatment During COVID-19: Resilience of Individuals With Advanced Non-Small Cell Lung Cancer Versus Community Controls. J Natl Compr Canc Netw. 2022 Feb;20(2):118-125. doi: 10.6004/jnccn.2021.7076.(PubMed)
Andersen BL, McElroy JP, Carbone DP, Presley CJ, Smith RM, Shields PG, Brock GN. Psychological Symptom Trajectories and Non-Small Cell Lung Cancer Survival: A Joint Model Analysis. Psychosom Med. 2022 Feb-Mar 01;84(2):215-223. doi: 10.1097/PSY.0000000000001027.(PubMed)
Andersen BL, Valentine TR, Lo SB, Carbone DP, Presley CJ, Shields PG. Newly diagnosed patients with advanced non-small cell lung cancer: A clinical description of those with moderate to severe depressive symptoms. Lung Cancer. 2020 Jul;145:195-204. doi: 10.1016/j.lungcan.2019.11.015. Epub 2019 Nov 21.(PubMed)