{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T18:08:33Z","timestamp":1788804513585,"version":"build-2803163510"},"reference-count":30,"publisher":"L and H Scientific Publishing, LLC","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["DNC"],"published-print":{"date-parts":[[2027,3,1]]},"abstract":"<jats:p>Leukemia is a hematological malignancy marked by uncontrolled proliferation of immature leukocytes, disrupting normal blood cells formation and limiting long-term therapeutic success. Despite advancements in treatment, achieving sustained remission remains a formidable challenge. To investigate therapeutic outcomes under chimeric antigen receptor (CAR) T-cell immunotherapy, a nonlinear ordinary differential equation model is developed that integrates susceptible, infected, cancer, and immune cell populations. The model incorporates immune-mediated cell clearance through a parameter \\gamma, representing the elimination of infected cells by immune action. Analytical results establish positivity, boundedness, and the existence of biologically feasible equilibria. The basic reproduction number \\mathcal R_0 is derived using the next-generation matrix approach, serving as the threshold for disease persistence. Local and endemic equilibria are analyzed through Routh-Hurwitz and Lyapunov criteria to determine asymptotic stability conditions. Numerical simulations illustrate how CAR T-cell infusion and immune stimulation feedback influence leukemia suppression and immune persistence. Sensitivity analysis highlights \\beta, \\gamma, k_0 as dominant parameters shaping therapeutic outcomes. The proposed framework offers a compact, mechanistic description of immune-tumor dynamics and supports optimization of immunotherapeutic dosing strategies.<\/jats:p>","DOI":"10.5890\/dnc.2027.03.006","type":"journal-article","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T17:41:02Z","timestamp":1788802862000},"page":"79-95","source":"Crossref","is-referenced-by-count":0,"title":["A Nonlinear Dynamical Model of Leukemia Progression with CAR T-cell Therapeutic Intervention"],"prefix":"10.5890","volume":"16","author":[{"given":"Rihana","family":"Farveen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dhanalakshmi","family":"Palanisami","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7015","published-online":{"date-parts":[[2026,9,7]]},"reference":[{"key":"ref1","unstructured":"[1] Dolgin, E. 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