This study is a single-center, retrospective, observational cohort investigation conducted at Tianjin Cancer Hospital that aims to evaluate the relationship between tumor microenvironment (TME) composition and the efficacy of antibody-based antitumor therapies-including monoclonal antibodies, antibody-drug conjugates, and bispecific antibodies-across a pan-cancer population comprising adult patients with breast, colorectal, head and neck squamous, lung, bladder, gastric, or pancreatic cancer treated between January 2020 and January 2026. Using real-world data extracted from electronic medical records, pathology archives, and laboratory systems, the study will analyze TME-related variables derived from tissue immunohistochemistry, molecular testing, and peripheral blood inflammatory markers in relation to clinical outcomes, with a primary endpoint of either progression-free survival or objective response rate to be finalized before database lock, and secondary endpoints including overall survival, disease control rate, and subgroup heterogeneity across cancer types and drug classes. Statistical analyses will employ Kaplan-Meier survival curves, Cox proportional hazards models, logistic regression, and appropriate multivariable adjustments with sensitivity analyses using propensity score methods, while the study will adhere to ethical standards under a waiver of informed consent due to its minimal-risk, retrospective design and strict de-identification of patient data.
Study Type
OBSERVATIONAL
Enrollment
300
Tianjin Medical University Cancer Institute & Hospital
Tianjin, Tianjin Municipality, China
Spearman correlation coefficient between tumor microenvironment marker levels and objective response rate/progression-free survival
Tumor microenvironment markers, including NETosis-related markers and immune-cell composition, will be quantified by multiplex immunofluorescence as percentage of marker-positive area or percentage of marker-positive cells. Treatment efficacy will be assessed by objective response rate according to RECIST 1.1, and prognosis will be assessed by progression-free survival and overall survival. Spearman correlation coefficients will be calculated to evaluate the correlation between tumor microenvironment marker levels and treatment outcomes.
Time frame: January 2020 and January 2026
To evaluate the predictive value of TME indicators for efficacy outcomes (e.g., AUC, calibration, decision curve analysis, etc., to be conducted as data permit).
Time frame: January 2020 and January 2026
Subgroup-specific Spearman correlation coefficient between tumor microenvironment marker levels and objective response rate
Tumor microenvironment markers will be measured in pretreatment tumor tissue by multiplex immunofluorescence and reported as the percentage of marker-positive cells or marker-positive area. Objective response rate will be defined as the percentage of patients with complete or partial response according to RECIST 1.1. Spearman correlation coefficients will be calculated within predefined subgroups, including cancer type, antibody target/type, and line of therapy.
Time frame: January 2020 and January 2026
Interaction term odds ratio for clinical factors modifying the association between tumor microenvironment marker levels and objective response
Tumor microenvironment markers will be measured in pretreatment tumor tissue using multiplex immunofluorescence and reported as the percentage of marker-positive cells or marker-positive area. Objective response will be defined as complete or partial response according to RECIST 1.1. Multivariable logistic regression will be used to assess interaction terms between tumor microenvironment marker levels and predefined clinical factors, with results reported as odds ratios and 95% confidence intervals.
Time frame: January 2020 and January 2026
To construct a multivariable predictive model or risk stratification tool where feasible
Time frame: January 2020 and January 2026
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.