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Circulating tumor DNA in neoadjuvant therapy for solid tumors

Front Oncol. 2026 Aug 26;16:1909934. doi: 10.3389/fonc.2026.1909934. eCollection 2026.

ABSTRACT

Circulating tumor DNA (ctDNA), a core component of liquid biopsy, demonstrates significant potential in the field of neoadjuvant therapy for solid tumors. This review systematically examines the role of ctDNA across the pre-, intra-, and post-neoadjuvant treatment phases, with a focus on its value in predicting therapeutic efficacy, assessing early treatment response, detecting minimal residual disease (MRD), and monitoring for recurrence. By synthesizing the latest clinical research data and advancements in molecular detection technologies, this article aims to elucidate how ctDNA is facilitating a shift towards more precise, dynamic, and individualized paradigms in neoadjuvant therapy for solid tumors. Furthermore, it analyzes the current challenges and future directions for integrating ctDNA analysis into clinical practice to optimize patient management and outcomes. Throughout, clinically validated applications are explicitly distinguished from those that remain investigational, and key unresolved questions are highlighted.

PMID:42719676 | PMC:PMC13555526 | DOI:10.3389/fonc.2026.1909934

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Skin-innervating glutamatergic neurons modulate aging

Within the skin, glutamatergic neurons expressing neurofilament heavy chain (Nefh) play a role in aging. Loss of Nefh during aging drives skin fibroblast senescence and collagen loss, whereas glutamate supplementation improves skin aging phenotypes.
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CogniFold: Always-On Proactive Memory via Cognitive Folding

arXiv:2605.13438v2 Announce Type: replace Abstract: Existing agent memory remains predominantly reactive and retrieval-based, lacking the capacity to autonomously organize experience into persistent cognitive structure. Toward genuinely autonomous agents, we introduce CogniFold, a brain-inspired "always-on" agent memory designed for the next generation of proactive assistants. CogniFold continuously folds fragmented event streams into self-emerging cognitive structures, bootstrapping progressively higher-level cognition from incoming events and accumulated knowledge. We ground this by extending Complementary Learning Systems (CLS) theory from two layers (hippocampus, neocortex) to three, adding a prefrontal intent layer. Emulating the prefrontal cortex as the locus of intentional control and decision-making, CogniFold achieves this through graph-topology self-organization: cognitive structures proactively assemble under the stream, merge when semantically similar, decay when stale, relink through associative recall, and surface intents when concept-cluster density crosses a threshold. We evaluate structural formation using CogEval-Bench, demonstrating that CogniFold uniquely produces memory structures that match cognitive expectations and concept emergence. Furthermore, across 7 broad-coverage benchmarks spanning five cognitive domains, we validate that CogniFold simultaneously performs robustly on conventional memory benchmarks.
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