NCT03199651

Brief 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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
3,584

participants targeted

Target at P75+ for not_applicable

Timeline
33mo left

Started Jul 2017

Longer than P75 for not_applicable

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress77%
Jul 2017Dec 2028

First Submitted

Initial submission to the registry

May 26, 2017

Completed
1 month until next milestone

First Posted

Study publicly available on registry

June 27, 2017

Completed
20 days until next milestone

Study Start

First participant enrolled

July 17, 2017

Completed
9.5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2026

Expected
2 years until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2028

Last Updated

February 19, 2026

Status Verified

February 1, 2026

Enrollment Period

9.5 years

First QC Date

May 26, 2017

Last Update Submit

February 17, 2026

Conditions

Outcome Measures

Primary Outcomes (12)

  • 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.

    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.

    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).

    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).

    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).

    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).

    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.

    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).

    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.

    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

    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.

    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.

    Up to 3 years

Study Arms (2)

Arm I (UC)

ACTIVE COMPARATOR

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.

Other: Best PracticeProcedure: Biospecimen CollectionOther: Laboratory Biomarker AnalysisOther: Medical Chart ReviewOther: Quality-of-Life AssessmentOther: Questionnaire AdministrationBehavioral: Smoking Cessation Intervention

Arm II (AGIT/DS)

EXPERIMENTAL

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.

Procedure: Biospecimen CollectionOther: Laboratory Biomarker AnalysisOther: Medical Chart ReviewOther: Quality-of-Life AssessmentOther: Questionnaire AdministrationBehavioral: Smoking Cessation Intervention

Interventions

Receive usual care

Also known as: standard of care, standard therapy
Arm I (UC)

Undergo collection of tumor tissue and blood sample for repository

Arm I (UC)

Correlative studies

Arm I (UC)Arm II (AGIT/DS)

Undergo medical record abstraction

Also known as: Chart Review
Arm I (UC)Arm II (AGIT/DS)

Ancillary studies

Also known as: Quality of Life Assessment
Arm I (UC)Arm II (AGIT/DS)

Ancillary studies

Arm I (UC)Arm II (AGIT/DS)

Undergo usual care or NCCN-driven CTC/DS

Also known as: Smoking and Tobacco Use Cessation Interventions
Arm I (UC)Arm II (AGIT/DS)

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • 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

You may not qualify if:

  • Being treated with definitive chemoradiotherapy or surgery
  • Receiving treatment for advanced lung cancer for over one month before enrollment; OR

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Ohio State University Comprehensive Cancer Center

Columbus, Ohio, 43210, United States

RECRUITING

Related Publications (8)

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

Related Links

MeSH Terms

Conditions

Adenocarcinoma of LungCarcinoma, Non-Small-Cell Lung

Interventions

Practice Guidelines as TopicStandard of CareSmoking Devices

Condition Hierarchy (Ancestors)

AdenocarcinomaCarcinomaNeoplasms, Glandular and EpithelialNeoplasms by Histologic TypeNeoplasmsLung NeoplasmsRespiratory Tract NeoplasmsThoracic NeoplasmsNeoplasms by SiteCarcinoma, BronchogenicBronchial NeoplasmsLung DiseasesRespiratory Tract Diseases

Intervention Hierarchy (Ancestors)

Guidelines as TopicQuality Assurance, Health CareQuality of Health CareHealth Services AdministrationHealth Care Quality, Access, and EvaluationQuality Indicators, Health CareManufactured MaterialsTechnology, Industry, and Agriculture

Study Officials

  • Peter Shields, MD

    Ohio State University Comprehensive Cancer Center

    PRINCIPAL INVESTIGATOR

Central Study Contacts

The Ohio State University Comprehensive Cancer Center

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Principal Investigator

Study Record Dates

First Submitted

May 26, 2017

First Posted

June 27, 2017

Study Start

July 17, 2017

Primary Completion (Estimated)

December 31, 2026

Study Completion (Estimated)

December 31, 2028

Last Updated

February 19, 2026

Record last verified: 2026-02

Data Sharing

IPD Sharing
Will not share

Locations