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Kaveh, K.

Publications and source records attributed to Kaveh, K..

4 recordsLinked to original sources

Modeling CISH-KO TIL therapy: T-cell persistence and endogenous competition determine response in gastrointestinal cancer

BackgroundTumor-infiltrating lymphocyte (TIL) therapies have shown promise in murine models; however, early-phase clinical trials reveal substantial heterogeneity in treatment response across patients. Elucidating the biological drivers of this variability is critical for improving patient selection and therapeutic design. MethodsWe developed a mechanistic mathematical model of Cish-inactivated TIL therapy capturing interactions among tumor cells, endogenous TILs, and infused CISH-KO (Cish gene knockout) T-cells. The model was calibrated to longitudinal tumor size data from two murine studies and also fitted to clinical data from a first-in-human phase 1 trial enrolling 22 and treating 12 patients with metastatic gastrointestinal cancers (27 independently tracked tumor lesions). We used the calibrated model to identify patient-level determinants of response and to simulate combination and fractionation treatment strategies in silico. FindingsFour mechanistically distinct parameters emerged as dominant determinants of therapeutic outcome: CISH-KO T-cell persistence (r = 0.827, p < 10-4) was the single strongest predictor of therapeutic failure; other major determinants included endogenous T-cell proliferation rate (r = 0.648, p < 10-4) , CISH-KO T-cell killing rate, and intrinsic tumor growth rate. In silico simulations predicted that the addition of anti-PD-1 checkpoint blockade to standard-dose CISH-KO TIL therapy achieved comparable or superior tumor control relative to dose doubling, while maintaining lower peak T-cell level. Additionally, fractionating the same total dose across multiple delayed infusions further improved predicted tumor control by prolonging CISH-KO T-cell persistence, again without raising peak effector burden. InterpretationThe efficacy of current CISH-KO TIL protocols is influenced not only by the cytotoxic potency of infused T-cells, but also by their persistence within the tumor microenvironment and competitive pressure from the reconstituting host immune compartment. These findings support strategies that enhance the functional efficiency and prolong the availability of infused T-cells--such as concurrent PD-1 blockade or fractionated dosing of the same total cell product--rather than dose escalation alone and identify CISH-KO T-cell persistence and endogenous immune competition as actionable targets for improving TIL-based immunotherapies.

Cancer Biology↗

Understanding heterogeneous responses to T cell engagers: Binding characteristics and dosing thresholds determine cytotoxic efficacy

Therapeutic efficacy of multivalent T cell engagers varies widely across individuals, but the basis for this heterogeneity remains poorly understood. Here, we integrate in vitro experiments of antitumor immune responses with a mechanistic modeling framework to investigate sources of response variability across T cell donors and TE constructs, focusing on a novel multivalent bispecific T cell engager currently in development. We identify parameter regimes that accurately recapitulate dose-response behaviors across T cell donors and doses, and perform cross-validation studies that demonstrate the models predictive accuracy. We find that variability in therapy efficacy is governed by the relationship between binding affinity and dose. When dose exceeds the binding affinity, responses are relatively robust across donors; when dose is below the binding affinity, responses are more donor dependent. At smaller doses, the TE-specific shape characteristics of the tumor-binding dose response, its steepness in particular, is a key marker of therapy efficacy. More generally, our integrated modeling and experimental framework offers insights and tools that are applicable to other bispecific T-cell engagers, and provides a quantitative foundation for the systematic, in silico optimization of TE design and dosing strategies.

immunology↗

Mathematical model of CISH knockout predicts increased efficacy in tumor-infiltrating lymphocyte activation with synergistic gene editing

Tumor-infiltrating lymphocyte (TIL) therapy is a type of adoptive cell therapy, where the lymphocytes of a cancer patients tumor are harvested, expanded in vitro using IL-2 stimulation, and then infused back into the patient[1], [2]. However, even with the use of TIL therapy, cancer cells can survive for various reasons, such as poor lymphocyte infiltration into tumors, chronic activation of the T cell receptor and the immunosuppressive tumor microenvironment[3]. Cytokine-inducible SH2-containing (CISH) protein is a negative regulator of T cell activation, and in a recent clinical trial was knocked out in TILs to improve TIL therapy efficacy[4]. A mechanistic signaling pathway model was developed to theoretically evaluate the efficacy of CISH knockout (CISH KO) in T cell activation and examine potential alternative target genes that can theoretically be targeted using multiplex gene-editing or drugs to further improve T cell activation and function[5]. Based on the results, CISH knockout increases the transcription of activation biomarkers IL-2 and TNF-, but also inhibitory biomarkers such as PD1 and FasL. Using global sensitivity analysis, we also found that GSK3B, which is responsible for the deactivation of NFAT, is also predicted to further increase T cell activation when knocked out. In addition, it was predicted that PDCD1, FAS and CTLA4 can be knocked out in combination with CISH to further enhance T cell activation and prevent exhaustion and apoptosis.

immunology↗

Selection for synchronized cell division in simple multicellular organisms

The evolution of multicellularity was a major transition in the history of life on earth. Conditions under which multicellularity is favored have been studied theoretically and experimentally. But since the construction of a multicellular organism requires multiple rounds of cell division, a natural question is whether these cell divisions should be synchronous or not. We study a simple population model in which there compete simple multicellular organisms that grow either by synchronous or asynchronous cell divisions. We demonstrate that natural selection can act differently on synchronous and asynchronous cell division, and we offer intuition for why these phenotypes are generally not neutral variants of each other.

evolutionary biology↗