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Andreu, C.

Publications and source records attributed to Andreu, C..

2 recordsLinked to original sources

KIF18A Inhibition as a Therapeutic Strategy in Cancers with Rb Pathway Inactivation

KIF18A inhibition has emerged as a therapeutic strategy for chromosomally unstable cancers, but clinical development is limited by the absence of a deployable predictive biomarker. Here we identify strong, diffuse p16INK4a expression, a well-established surrogate marker of Rb-pathway inactivation, as a predictive biomarker of response to KIF18A inhibition, and show that Rb-pathway inactivation marks a biologically distinct subset of cancers sensitive to this therapeutic approach. In sensitive models, low Rb activity is associated with robust spindle assembly checkpoint signaling and prolonged mitotic arrest following KIF18A inhibition. Weakening the spindle assembly checkpoint in this context is sufficient to confer resistance. Across three independent pan-cancer sensitivity datasets generated with distinct KIF18A inhibitors, Rb-pathway altered models were significantly more sensitive than histology-matched Rb-intact comparators, with the strongest association observed in cancers harboring direct RB1 loss or inactivating mutation. Guided by this mechanism, we retrospectively analyzed p16INK4a expression by immunohistochemistry (IHC) in pre-treatment tumor biopsies from 79 heavily pre-treated high-grade serous ovarian cancer patients across three dose-escalation or expansion cohorts and treated with two different KIF18A inhibitors (sovilnesib and VLS-1488) sharing a common mechanism of action. p16INK4a-high tumors showed substantially higher objective response rates than their p16INK4a-low counterparts (36.0% versus 2.2%; P = 0.0002) and markedly longer progression-free survival (median 24.3 versus 7.9 weeks; hazard ratio, 0.16; P < 0.0001). These findings establish p16INK4a as a mechanistically-based, clinically implementable biomarker of clinical response to KIF18A inhibition that is poised to support pan-cancer development of KIF18A inhibitors guided by Rb-pathway inactivation.

cancer biology↗

Autonomic Indicators of Self-Transcendence: Insights from the Numadelic VR Paradigm

Self-transcendent experiences (STEs) offer profound and beneficial shifts in perspective, yet remain largely inaccessible outside elite contemplative or pharmacological contexts. Neural measures have deepened our understanding of these states, but their cost and limited ecological validity constrain broader application. This study evaluates heart rate variability (HRV) amplitude, a measure reflecting dynamic sympathovagal engagement, as a cost-effective and sustainable physiological marker of STE during numadelic virtual reality (VR) experiences. The unique numadelic aesthetic combined with multi-person can induce STE through dissolving self-boundaries and fostering embodied presence. Building on previous work linking non-ordinary states of consciousness (NOSC) with autonomic nervous system activity during psychedelic drug administration, we tested the hypothesis that HRV amplitude may reflect STE depth and relate to affective and relational outcomes during non-drug numadelic VR experiences. Specifically, ninety-six participants engaged in guided meditation within either a numadelic VR setting or a non-VR audio-guided group format. Physiological data (cardiac activity and respiration) were recorded during the meditation, alongside psychological assessments pre- and post-session. Findings confirm that HRV amplitude measured during numadelic VR correlates with subjective STE ratings. It also relates to compassion traits, and emotional improvement following VR practice. Additional analysis of data from a prior psychedelic drug study further validated the relevance of this measure across methods of inducing NOSCs. These results advance the psychophysiological mapping of STEs and highlight HRV amplitude as a potential real-time biomarker which may help to guide participants toward self-transcendent states within adaptive environments. By integrating contemplative science with immersive design, this work supports the development of scalable tools that enhance both access to and understanding of STEs.

neuroscience↗