Massachusetts General Hospital
Boston, Massachusetts, 02115, United States
NCT Number: NCT04776837
This is a prospective study addressing the challenge of predicting disease progression and/or recurrence in patients diagnosed with metastatic colorectal, pancreatobiliary, or esophagogastric cancer that are receiving anti-cancer therapy.
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Notify Me18 year and older
All sexes
Observational
Boston, Massachusetts, 02115, United States
This research study is evaluating how patient-reported outcomes (e.g. symptoms, quality of life) and biomarkers compare to standard of care clinical assessments such as imaging and tumor markers in predicting the clinical outcomes (e.g. disease progression and survival) in patient populations with colorectal, pancreatobiliary, or esophagogastric cancer that are receiving anti-cancer therapy Massachusetts General Hospital Cancer Center
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Patients will be followed by collecting clinical data, biospecimens, and quality of life assessment
Time frame: 6 months
The primary outcome is treatment response (RECIST 1.1) at first scan (>1 month post-treatment start). Both response status (PR vs SD or PD [including death]) and clinical benefit status (PR or SD vs PD [including death]) will be examined. Primary analyses will compare one month change from baseline in tumor markers, MAF of the selected clonal mutation in ctDNA, and PROs (symptoms, mood, and QOL) individually and a composite score in predicting response and clinical benefit (CB) at first scan.
Time frame: 6 months
Change from baseline to one month for each variable (tumor markers [CEA, CA19-9], ctDNA, and PROs [symptoms, mood, QOL]) will be evaluated individually as a predictor of percent change in tumor measurements at first scan (RECIST 1.1).
Time frame: 1 year
Estimate distributions of progression free survival using the Kaplan-Meier method.
Time frame: 1 year
Use Cox proportional hazards models to obtain hazard ratios for Progression Free Survival for change in tumor markers, ctDNA and PROs.
Time frame: 1 year
Estimate distributions of overall survival using the Kaplan-Meier method.
Time frame: 1 year
Use Cox proportional hazards models to obtain hazard ratios for Overall Survival for change in tumor markers, ctDNA and PROs.
Time frame: 1 year
The investigators will compare the predictive ability of change in tumor markers, ctDNA, and PROs in these models using time-dependent ROC curves evaluated at specific timepoints including 6 and 12 months.
Time frame: 6 months
The investigators will run multivariable Cox proportional hazards regression with purposeful selection of covariates to explore combinations of variables (change in tumor markers [CEA, CA19-9], ctDNA, and PROs [symptoms, mood, QOL]) as predictors of survival (PFS and OS).
Time frame: 6 months
The investigators will look at correlations between baseline ctDNA levels, baseline tumor markers and baseline PRO assessments and tumor response.
Time frame: 6 months
The investigators will look at correlations between baseline ctDNA levels, baseline tumor markers and baseline PRO assessments and 6-month survival outcomes (PFS, OS)
Time frame: 1 year
As an exploratory outcome the investigators will compare differences in demographic and clinical characteristics, PROs, and clinical outcomes, between patients with and without sarcopenia.
Time frame: 1 year
As an exploratory outcome the investigators will compare differences in demographic and clinical characteristics, PROs, and clinical outcomes, between patients by skeletal muscle index and density.
Massachusetts General Hospital
Other
Tumor Markers, Liquid Biopsies, and Patient Reported Outcomes in Metastatic Colorectal, Pancreas, Biliary, and Esophagogastric Cancers
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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.
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