Table 1_Dynamic changes in peripheral blood lymphocyte subsets predict the efficacy and pr

14 metastatic osteosarcoma patients receiving immune checkpoint inhibitors were analyzed in a single-center, retrospective study. The dataset includes flow cytometry measurements of lymphocyte subsets at diagnosis, pre-treatment, and post-treatment, linked to overall survival and treatment response. It was published by Longqing Li on figshare under a CC-BY-4.0 license.

Use Cases

• Identify prognostic biomarkers for overall survival based on pre-treatment CD8+HLA-DR+ cell levels.
• Predict treatment response (disease control vs. progression) based on lymphocyte subset profiles at diagnosis.
• Model dynamic changes in NK cells (CD3−CD56+) and activated T cells (CD8+HLA-DR+) post-treatment as indicators of immunotherapy efficacy.
• Assess the risk factor of extrapulmonary metastasis on patient outcomes using hazard ratio data.

Strengths

• Dataset includes longitudinal measurements of lymphocyte subsets at three clinically relevant time points.
• Clinical outcomes are linked to biomarker data, including overall survival and RECIST 1.1 treatment response.
• Analysis employs multiple statistical methods, including univariate Cox regression and Linear Mixed Models.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The study is based on a small, single-center cohort of 14 patients.

Provenance

Source

Longqing Li

Collection Method

Single-center, retrospective study using flow cytometry and clinical record analysis.

Freshness

Last updated 2026-05-13 04:30:02; freshness should be verified.