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Background: Immune checkpoint inhibitors have revolutionized the treatment strategy of esophageal squamous cell carcinoma (ESCC). The value of ctDNA dynamic changes in ESCC patients treated with immunochemotherapy was not clear.
Methods: A retrospective analysis was performed to analyze the association of ctDNA dynamic changes with the treatment efficacy of immunochemotherapy in patients with locally advanced, metastatic, or recurrent ESCC and who received immunochemotherapy at the Department of Medical Oncology, National Cancer Center from June 2023 to December 2024. Tumor mutation burden (TMB) and PD-L1 expression of tumor tissue were also explored.
Results: 57 patients with paired ctDNA at baseline and during treatment were analyzed. We found that patients with negative ctDNA during treatment demonstrated a higher tumor regression rate (96.8% vs. 73.1%; p = 0.018) and a higher cCR rate (45.2% vs. 15.4%; p = 0.022). Additionally, patients with continuously negative ctDNA (p = 0.033) or experienced ctDNA clearance during treatment (p = 0.043) had a higher cCR rate compared to those with persistently positive ctDNA. Moreover, among patients with TP53 mutations at baseline, those with TP53 mutations cleared during treatment showed a higher tumor regression rate (88.9% vs. 54.5%; p = 0.031) and cCR rate (33.3% vs. 0%; p = 0.038) compared to patients with persistent TP53 mutations. No correlation was observed between TMB and treatment efficacy, while a higher cCR rate was observed in patients with PD-L1 CPS ≥ 15 (63.6% vs. 24.4%; p = 0.027).
Conclusions: ctDNA dynamic changes demonstrated potential predictive value for the efficacy of immunochemotherapy in patients with ESCC. Further exploration through larger-scale studies is necessary.
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http://dx.doi.org/10.1111/1759-7714.70084 | DOI Listing |
FEMS Microbiol Ecol
September 2025
School of Biological Sciences, University of Auckland, 3A Symonds Street, Auckland, New Zealand, 1142.
The relationship between, and joint selection on, a host and its microbes-the holobiont-can impact evolutionary and ecological outcomes of the host and its microbial community. We develop an agent-based modelling framework for understanding the ecological dynamics of hosts and their microbiomes. Our model incorporates numerous microbial generations per host generation allowing selection on both host and microbes.
View Article and Find Full Text PDFJ Phys Chem B
September 2025
School of Science, RMIT University, Melbourne 3000, Australia.
Pentameric ligand-gated ion channels control synaptic neurotransmission via an allosteric mechanism, whereby agonist binding induces global protein conformational changes that open an ion-conducting pore. For the proton-activated bacterial () ligand-gated ion channel (GLIC), high-resolution structures are available in multiple conformational states. We used a library of atomistic molecular dynamics (MD) simulations to study conformational changes and to perform dynamic network analysis to elucidate the communication pathways underlying the gating process.
View Article and Find Full Text PDFVestn Oftalmol
September 2025
Korolev Samara National Research University, Samara, Russia.
Objective: This study evaluated the outcomes of a 36-month follow-up after treatment with the ELLEX 2RT nanosecond laser.
Material And Methods: The study included 72 patients divided into two groups. Group 1 received 2RT nanosecond laser therapy, while group 2 did not undergo laser treatment.
Chaos
September 2025
School of Mathematical Sciences, Capital Normal University, Beijing 100048, China.
In this paper, we propose a general latent HIV infection model with general incidence and three distributed delays. We start with the analysis of the proposed model by establishing the positivity and boundedness of solutions and calculating basic reproduction number R0. Then, we show that the infection-free equilibrium is globally asymptotically stable when R0<1 (is globally attractive when R0=1), while the disease is uniformly persistent when R0>1.
View Article and Find Full Text PDFJ Antimicrob Chemother
September 2025
Department of Pharmaceutical Sciences, University of Michigan College of Pharmacy, Ann Arbor, MI 48109, USA.
Background: Synergy between antibiotic pairs is typically discovered using chequerboard assays that assume uniform, static drug exposure; however, such conditions rarely apply in vivo. Dynamic and heterogeneous tissue environments create spatial and temporal mismatches in drug exposure that can uncouple synergistic interactions, leading to unexpected treatment failure.
Objective: This study aims to develop a physiologically relevant in vitro model that integrates infection-site microenvironments and drug-specific pharmacokinetics.