Cooperative Dynamics Research Articles

Frustration-induced quantum criticality in Ni-doped CePdAl as revealed by the µSR technique

In CePdAl, the 4f moments of cerium arrange to form a geometrically frustrated kagome lattice. Due to frustration, in addition to Kondo and Ruderman-Kittel-Kasuya-Yosida interactions, this metallic system shows a long-range magnetic order (LRO) with a TN of only 2.7 K. Upon Ni doping at the Pd sites, TN is further suppressed, to reach zero at a critical concentration xc≈0.15. Here, by using muon-spin relaxation and rotation (µSR), we investigate CePd1−xNixAl at a local level for five different Ni concentrations, both above and below xc. Like the parent CePdAl compound, for x=0.05, we observe an incommensurate LRO, which turns into a quasistatic magnetic order for x=0.1 and 0.14. More interestingly, away from xc, for x=0.16 and 0.18, we still observe a non-Fermi-liquid (NFL) regime, evidenced by a power-law divergence of the longitudinal relaxation at low temperatures. In this case, longitudinal field measurements exhibit a time-field scaling, indicative of cooperative spin dynamics that persists for x>xc. Furthermore, like the externally applied pressure, the chemical pressure induced by Ni doping suppresses the region below T*, characterized by a spin-liquid-like dynamical behavior. Our results suggest that the magnetic properties of CePdAl are similarly affected by the hydrostatic and the chemical pressure. We also confirm that the unusual NFL regime (compared with conventional quantum critical systems) is due to the presence of frustration that persists up to the highest Ni concentrations. Published by the American Physical Society 2024

Dynamic Coupling and Cooperative Control for Multi-Paralleled Doubly Fed Induction Generator Wind Farms During Symmetrical Low Voltage Ride-Through in a Weak Grid

Dynamic Coupling and Cooperative Control for Multi-Paralleled Doubly Fed Induction Generator Wind Farms During Symmetrical Low Voltage Ride-Through in a Weak Grid

Mixed strategy approach destabilizes cooperation in finite populations with clustering coefficient.

Evolutionary game theory, encompassing discrete, continuous, and mixed strategies, is pivotal for understanding cooperation dynamics. Discrete strategies involve deterministic actions with a fixed probability of one, whereas continuous strategies employ intermediate probabilities to convey the extent of cooperation and emphasize expected payoffs. Mixed strategies, though akin to continuous ones, calculate immediate payoffs based on the action chosen at a given moment within intermediate probabilities. Although previous research has highlighted the distinct impacts of these strategic approaches on fostering cooperation, the reasons behind the differing levels of cooperation among these approaches have remained somewhat unclear. This study explores how these strategic approaches influence cooperation in the context of the prisoner's dilemma game, particularly in networked populations with varying clustering coefficients. Our research goes beyond existing studies by revealing that the differences in cooperation levels between these strategic approaches are not confined to finite populations; they also depend on the clustering coefficients of these populations. In populations with nonzero clustering coefficients, we observed varying degrees of stable cooperation for each strategic approach across multiple simulations, with mixed strategies showing the most variability, followed by continuous and discrete strategies. However, this variability in cooperation evolution decreased in populations with a clustering coefficient of zero, narrowing the differences in cooperation levels among the strategies. These findings suggest that in more realistic settings, the robustness of cooperation systems may be compromised, as the evolution of cooperation through mixed and continuous strategies introduces a degree of unpredictability.

Comprehensive power shifts in the making: China's policy transfer partnerships with the United Nations

AbstractChina and the United Nations (UN) have set up a growing number of partnerships to transfer Chinese domestic development policies across the South. By examining these partnerships through a power shift lens, we suggest that UN‐endorsed policy transfer processes can function as a window into shifting international cooperation dynamics. The paper first provides an overview of the evolution and key characteristics of China–UN policy transfer partnerships, focusing on China's trajectory as a provider of policy solutions. It then analyses the extent to which the evolving partnership landscape contributes to and reflects shifts in China's compulsory, institutional, structural and productive power. Overall, we argue that policy transfer partnerships contribute to comprehensive power shifts in the making: while empirical data point to China's often (still) limited and evolving ability to influence the actions of others, our findings provide evidence for increasing levels of Chinese influence in and through policy transfer partnerships across all power types.

Governing Sister City: Global Collaboration and Local Operation

This research aims to analyze the governance of a sister city from the perspective of local governments in Indonesia. It seeks to answer questions, such as why South Korea and Indonesia continue working together despite the cessation of activities during certain periods. It focuses on the dynamic of this cooperation management, the actors involved, and their roles. This research uses a qualitative method to collect data through interviews with informants from local governments and nongovernmental agencies, which serve as key supporting components. Results showed three types of outcome: dynamic, effective, and unimplemented cooperation. Three factors explain these outcomes: administrative support, local government capacity, and leadership. In addition, the nature of cooperation has evolved from being limited to government agencies to involving nongovernmental agencies, thereby strengthening the phenomenon of decentralized governance. These results are evidence of local government agencies' decentralized cooperation, which extends beyond national borders and involves nongovernmental agencies.

Trajectory Planning for Cooperative Double Unmanned Surface Vehicles Connected with a Floating Rope for Floating Garbage Cleaning

Double unmanned surface vehicles (DUSVs) towing a floating rope are more effective at removing large floating garbage on the water’s surface than a single USV. This paper proposes a comprehensive trajectory planner for DUSVs connected with a floating rope for cooperative water-surface garbage collection with dynamic collision avoidance, which takes into account the kinematic constraints and dynamic cooperation constraints of the DUSVs, which reflects the current collection capacity of DUSVs. The optimal travel sequence is determined by solving the TSP problem with an ant colony algorithm. The DUSVs approach the garbage targets based on the guidance of target key points selected by taking into account the dynamic cooperation constraints. An artificial potential field (APF) combined with a leader–follower strategy is adopted so that the each USV passes from different sides of the garbage to ensure garbage capturing. For dynamic obstacle avoidance, an improved APF (IAPF) combined with a leader–follower strategy is proposed, for which a velocity repulsion field is introduced to reduce travel distance. A fuzzy logic algorithm is adopted for adaptive adjustment of the desired velocities of the DUSVs to achieve better cooperation between the DUSVs. The simulation results verify the effectiveness of the algorithm of the proposed planner in that the generated trajectories for the DUSVs successfully realize cooperative garbage collection and dynamic obstacle avoidance while complying with the kinematic constraints and dynamic cooperation constraints of the DUSVs.

The Enduring Sino–Russian Strategic Relations of Mutual Dependence—The Attribute of Military Cooperation

ABSTRACT Beijing’s relatively ambiguous response to the Ukraine War has tested how firm the Sino—Russian strategic partnership is. This article aims to decipher the endurance and complexity of Sino-Russian strategic relations by evaluating the nature and dynamics of Sino-Russian defense cooperation amid the worsening international environment against both countries. By examining two Sino-Russian Joint Exercises and analyzing their joint military patrols, exercises, and technological projects, this article argues that the general Sino-Russian military collaboration has been enhanced. Beijing and Moscow have gradually strengthened the combat orientation of their military cooperation to deter the perceived third-party threat, solidify their strategic partnership and against the challenges posed by conflicting interests in the overall bilateral interaction. Both Beijing and Moscow consistently remain vigilant against the risks of abandonment and entrapment, emphasizing the importance of maintaining strategic autonomy and refraining from formal alliances. However, they confront the worst-case scenario of being simultaneously dragged into two separate armed conflicts by a shared adversary. Therefore, align with their own national interests, the ability of Beijing and Moscow to achieve a delicate equilibrium between avoiding entrapment and preventing abandonment will determine the vitality and long-term trajectory of their strategic partnership.

Network analysis of international cooperation in space 1958–2023: Evidence of space blocs

The future of international cooperation in outer space was questioned when, in January 2022, Russia announced that it intended to leave the International Space Station (ISS) in 2024. A symbol of post-Cold War reconciliation, the station has linked Washington and Moscow even when relations on the ground frayed. The ISS has become a bedrock of international cooperation, having welcomed 276 individuals from 22 countries since it was first put in orbit in 1998. Russia’s announced departure from the ISS alarmed proponents of international cooperation in space. Its actions, however, do not signal an end but a new phase in international cooperative dynamics in space. This article examines international cooperation in outer space from 1958 until 2023. Using network analysis, it quantifies cooperative relations between states on space matters to examine the current state of international cooperation in space and its evolving dynamics. It finds that international cooperation in space has become increasingly defined by the emergence of distinct clusters of states, termed ‘space blocs’. Recent patterns of international cooperation in space markedly deviate from past dynamics in three key aspects. First, since 2008, distinct, bound space blocs can be clearly detected. Second, the internal composition of recent space blocs has become increasingly reflective of geopolitical affinities and strategic considerations on the ground. Third, although highly bound and distinct, the more recent space blocs are not entirely isolated and have not instituted any exclusionary practices, which is promising for the future of international space cooperation.

Dynamics of collective cooperation under personalised strategy updates

Collective cooperation is essential for many social and biological systems, yet understanding how it evolves remains a challenge. Previous investigations report that the ubiquitous heterogeneous individual connections hinder cooperation by assuming individuals update strategies at identical rates. Here we develop a general framework by allowing individuals to update strategies at personalised rates, and provide the precise mathematical condition under which universal cooperation is favoured. Combining analytical and numerical calculations on synthetic and empirical networks, we find that when individuals’ update rates vary inversely with their number of connections, heterogeneous connections actually outperform homogeneous ones in promoting cooperation. This surprising property undercuts the conventional wisdom that heterogeneous structure is generally antagonistic to cooperation and, further helps develop an efficient algorithm OptUpRat to optimise collective cooperation by designing individuals’ update rates in any population structure. Our findings provide a unifying framework to understand the interplay between structural heterogeneity, behavioural rhythms, and cooperation.

An Alternative Explanation of the Microscopic Dynamics of Cyclic Polymers

AbstractAccording to recent reviews and experiments, some key dynamic properties of cyclic polymers from neutron spin echo spectroscopy, molecular dynamics simulations, and rheological measurements are at variance with the predictions from theories based on motions restricted by fixed obstacles. These dynamic properties including non‐Gaussianity, heterogeneity, and subdiffusive center of mass mean square displacements turn out to be hallmarks of cooperative dynamics found in entangled linear polymers, and in other many‐units interacting systems that are not polymers. The current situation suggests new theory emphasizing cooperative many‐chain dynamics is needed to explain the properties. The Coupling Model is such a theory. Its predictions are applied to the dynamic properties of cyclic polymers in this paper to show consistency with experiments and simulations.This article is protected by copyright. All rights reserved

Cue-driven microbial cooperation and communication: evolving quorum sensing with honest signaling

BackgroundQuorum sensing (QS) is the ability of microorganisms to assess local clonal density by measuring the extracellular concentration of signal molecules that they produce and excrete. QS is also the only known way of bacterial communication that supports the coordination of within-clone cooperative actions requiring a certain threshold density of cooperating cells. Cooperation aided by QS communication is sensitive to cheating in two different ways: laggards may benefit from not investing in cooperation but enjoying the benefit provided by their cooperating neighbors, whereas Liars explicitly promise cooperation but fail to do so, thereby convincing potential cooperating neighbors to help them, for almost free. Given this double vulnerability to cheats, it is not trivial why QS-supported cooperation is so widespread among prokaryotes.ResultsWe investigated the evolutionary dynamics of QS in populations of cooperators for whom the QS signal is an inevitable side effect of producing the public good itself (cue-based QS). Using spatially explicit agent-based lattice simulations of QS-aided threshold cooperation (whereby cooperation is effective only above a critical cumulative level of contributions) and three different (analytical and numerical) approximations of the lattice model, we explored the dynamics of QS-aided threshold cooperation under a feasible range of parameter values. We demonstrate three major advantages of cue-driven cooperation. First, laggards cannot wipe out cooperation under a wide range of reasonable environmental conditions, in spite of an unconstrained possibility to mutate to cheating; in fact, cooperators may even exclude laggards at high cooperation thresholds. Second, lying almost never pays off, if the signal is an inevitable byproduct (i.e., the cue) of cooperation; even very cheap fake signals are selected against. And thirdly, QS is most useful if local cooperator densities are the least predictable, i.e., if their lattice-wise mean is close to the cooperation threshold with a substantial variance.ConclusionsComparing the results of the four different modeling approaches indicates that cue-driven threshold cooperation may be a viable evolutionary strategy for microbes that cannot keep track of past behavior of their potential cooperating partners, in spatially viscous and in well-mixed environments alike. Our model can be seen as a version of the famous greenbeard effect, where greenbeards coexist with defectors in a evolutionarily stable polymorphism. Such polymorphism is maintained by the condition-dependent trade-offs of signal production which are characteristic of cue-based QS.

Russian experience in managing interregional cooperation

The article analyzes Russia's experience in managing interregional cooperation, focusing on key concepts and regulatory support, as well as management bodies involved in coordinating interactions between regions. Legislative acts regulating the processes of cooperation and the activities of both state and local management agencies are considered, which allows a deeper assessment of their role in the implementation of interregional projects. Special attention is paid to successful examples such as Ural-Siberia and North-West, which contribute to the development of transport corridors and cultural ties. The article reveals the functions of government bodies, emphasizing the multilevel structure of management of interregional interactions in Russia, which is critical for economic growth, social integration and strengthening the unity of the country. The methodology allows to identify the key factors influencing the effectiveness of interregional cooperation, as well as to assess the role of management structures in the implementation of joint projects. The scientific novelty of the article lies in the systematic analysis of interregional cooperation in Russia, which allows us to identify its unique characteristics and trends. Unlike existing studies, this work focuses on the interaction of federal and local authorities, as well as on the analysis of legislation regulating interregional relations. The findings of the study emphasize that effective interregional cooperation requires an integrated approach, including improved coordination between management levels, the development of a unified legal model and the active participation of regions in federal initiatives. The article also reveals the importance of financing interregional programs, demonstrating their positive impact on the socio-economic development of regions, which is confirmed by concrete examples of successful projects and agreements. Thus, the work makes a significant contribution to understanding the mechanisms and dynamics of interregional cooperation.

Smart Dynamic Pricing and Cooperative Resource Management for Mobility-Aware and Multi-Tier Slice-Enabled 5G and Beyond Networks

Smart Dynamic Pricing and Cooperative Resource Management for Mobility-Aware and Multi-Tier Slice-Enabled 5G and Beyond Networks

Social Integration of Foreign Immigrants in South Korean Local Communities

The article provides a comprehensive analysis of the evolving cooperative dynamics of immigrant policy in South Korea, emphasizing the interactions between central and local governments, as well as among various local authorities. It discusses the need to empower local governments with greater authority and responsibility in implementing immigrant policies, highlighting the importance of collaboration, coordination, and cooperation across multiple layers of governance. The article focuses on two case studies, the National Multicultural City Council (NMCC) and the Multicultural Immigrants Plus Center (MIPC), to illustrate the practical implications of this multi‐layered governance approach. The theoretical implications of the case studies are rooted in the concept of multi‐layered governance (MLG) and its application to immigrant policy governance, providing valuable perspectives for understanding and optimizing immigrant policy implementation across diverse socio‐political contexts.

Иран на пути к региональной интеграции: политические и экономические аспекты взаимоотношений с государствами-членами ШОС

The article examines Iran’s relationship with the Shanghai Cooperation Organization (SCO), analyses the process of establishing cooperation with the member states of this organization, primarily Russia and China, in the field of regional security, as well as the political and economic spheres. The history of Iran’s inclusion in the SCO, the dynamics of cooperation, as well as the impact of this interaction on regional and world politics are explored. The focus is on joint projects, diplomatic, trade and economic relations, as well as potential challenges and prospects for cooperation between Iran and the SCO. The work notes that Iran’s desire for full membership in this organization was reinforced by the confrontation with the leading Western powers led by the United States and fit into the framework of Eastern policy with the prospect of an alliance with Russia and China. It is emphasized that due to opposition to Iran’s desire to strengthen its independence and sovereignty, Western powers prevented its inclusion in the regional or international security architecture. Under these conditions, Iran has intensified its efforts in search of its place in the international security system, relying on the idea of national identity and drawing closer to Russia and China. It is noted that the negative consequences of sanctions, threats of military intervention, cyber warfare and attempts to destabilize the Islamic regime were the main methods of Western policy towards Iran. Based on this, accession to the SCO was considered by the Iranian leadership as the most important task to neutralize Western sanctions and become one of the leaders in the regional security system.

Repeated prisoner's dilemma games in multi-player structured populations with crosstalk

Crosstalk represents a ubiquitous phenomenon in which strategic moves made in one game can influence actions in another. Reiter et al. [1] first integrated crosstalk with the repeated prisoner's dilemma model in structured populations. We extend their strategic space from one-step reactive strategies that consider only the actions of the opponent to memory-one strategies that consider the actions of both parties. We explore the cooperation rate of some representative memory-one strategies in repeated prisoner's dilemma games for multi-player structured populations when crosstalk exists, and focus on finding evolutionarily stable strategies that are cooperative in the memory-one strategy space under the impact of crosstalk. Simulation results in the strategic dynamics show that appropriately forgiving defection is conducive to cooperative stability in the population when crosstalk exists. Specifically, for strategies that can promote cooperation, there is a mutual restriction between tolerating the behavior of both defecting (the focused player and his opponent both defecting, DD) and forgiving unilateral defecting (the focused player cooperating while his opponent defecting, CD). That is, a more forgiving behavior of CD requires a lower tolerance for DD, while a higher tolerance of DD requires a less forgiving behavior of CD. Notably, we find two effective strategies, namely, Win-Stay-Lose-Shift (WSLS) and Firm‑but-Fair (FBF) in the facilitation of cooperation in game dynamics with crosstalk. Moreover, we reveal that the structured population can better suppress the negative impact of crosstalk on cooperation. This investigation provides complementary insights into the interplay between strategic decision-making and the influence of crosstalk within the context of memory-one strategies.

Indonesia's Interests in the Pacific Region

Indonesia is a country that is located close to each other and has established diplomatic relations and cooperation with countries in the Pacific region. This is done to maintain national and regional stability. Indonesia has an interest in maintaining a stable, prosperous and friendly environment in the Pacific region. On the other hand, Pacific countries view Indonesia as an archipelagic country that has experience and capacity in terms of cooperation and development. This research aims to analyze Indonesia's interests in countries in the Pacific Region. These interests include: strengthening sovereignty, increasing economic & trade cooperation and partners supporting each other in regional and multilateral forums. The research results show that the dynamics of Indonesia's cooperation with countries in the Pacific region have gone well in recent years. Indonesia carries out a lot of cooperation in the form of training and capacity development for Pacific countries. Apart from that, Indonesia is also active in organizing activities and discussion forums to encourage increased relations and cooperation

Abstract 7378: Using game theory to investigate the therapeutic potential of disrupting tumor-microenvironment interactions

Abstract Cancer is a complex disease involving the interplay of several types of malignant and nonmalignant cells. The growth of tumors and surrounding stromal cells can be modeled as an ecosystem, where populations of cancerous and healthy cells interact and compete for resources. In this work, we have explored the application of game theoretic models of cancer to the design of novel anticancer therapies. Notably, a game theoretic-model of tumor-stromal interactions can capture the impact of interactions between cell types and can be used to investigate frequency-dependent parameters describing the impact of drug action during the initiation and growth of metastatic cancers. Previous studies using game theoretic models to describe cancer have focused on explaining progression patterns of specific tumors with known tumor-stromal interactions. This study takes a more general approach to cancer growth dynamics, modeling cancer as a simple game between healthy and cancer cells. This simplified model is used to make general predictions about cancer progression and the efficacy of treatment strategies. Our work suggests that disruption of beneficial interactions between healthy and cancer cells may be a viable treatment strategy for small tumors and preventing metastasis by ensuring that the healthy cell strategy is evolutionarily stable. The efficacy of treatment strategies that disrupt cancer cell cooperation or tumor-stromal dynamics changes as the cancer cell frequency changes. Our work suggests that drugs that target tumor-stromal cell interactions would need to be combined with other types of treatments to be effective against large tumors. Although based on a simplistic model of cancer initiation and progression, the framework derived here can be extended to the real-world design of experimental anticancer therapeutics, and fundamental analyses of this nature can be of practical utility in setting strategy for Target Product Profile design. Citation Format: Debra Van Egeren, Andrew Chen, Madison Stoddard, Lin Yuan, Arijit Chakravarty. Using game theory to investigate the therapeutic potential of disrupting tumor-microenvironment interactions [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7378.

Particle swarm intelligence promotes cooperation by adapting interaction radii in co-evolutionary games

Particle swarm optimization (PSO), a population-based optimization algorithm inspired by swarm behaviors, has been applied extensively to simulate social behaviors such as migration, urban planning, or resource utilization. It capitalizes on the inherent principles of social cooperation, adaptability and learning from peers to help individuals in a population search for optima. In this work, we propose a novel co-evolutionary game model in which individuals adapt their interaction radii by applying the PSO algorithm and study how the learning factor ω in the algorithm shapes the cooperation dynamics. We find that the adaptive interaction radii based on PSO could significantly enhance cooperation, especially in the scenario with strong social dilemma. By studying the snapshots of strategy pattern and the distributions of interaction radii in the population, we further reveal that the PSO-based adapting mechanism can protect cooperators by shrinking the interaction radii in a severe environment with an appropriate ω. Nevertheless, when cooperation is favorable, the adaptation leads to a relatively wide distribution of interaction radii to facilitate the spread of cooperation. The results of this work highlight the potential of the PSO algorithm to resolve social dilemmas when combined with the evolutionary dynamics.

Abstract 3220: Osimertinib-induced epigenetic and transcriptional reprogramming drives a BRD4-POUF-PDGFRB-YAP-EMT axis of resistance in NSCLC

Abstract Acquired resistance to Osimertinib continues to pose a major limitation to achieving durable therapeutic responses in EGFR mutant non-small cell lung cancer (NSCLC). While multiple actionable genetic mutations have been identified as the underlying molecular basis of resistance, a genomic mechanism cannot be identified in >50% of Osimertinib resistant tumors and thus an effective combinatorial treatment strategy cannot be deployed for these patients. Recently, we identified YAP/TEAD activation and ERK1/2 reactivation as two major non-mutational counter-regulatory pathways that diminish the efficacy of Osimertinib, promoting establishment of the drug tolerant persister (DTP) and resistant states. Moreover, it is well known that cancer cells escape tyrosine kinase inhibitor (TKI) therapy by developing dependence on alternate, non-mutated receptor tyrosine kinases (RTKs) through a treatment-induced “RTK switch” phenomenon. The link however between alternate RTK signaling and YAP/TEAD/ERK1/2 has never been explored in the context of Osimertinib resistance. In this study, we systemically uncover transcriptional de-repression of, and critical dependence on PDGFRβ as part of a novel “RTK switch” mechanism deployed by cells to evade Osimertinib-induced death. Genetic or pharmacologic co-inhibition of PDGFRβ renders NSCLC cells more sensitive to Osimertinib during drug naïve, DTP and resistant phases of treatment through suppression of ERK1/2 reactivation, YAP activity/nuclear translocation and YAP-mediated induction of EMT factors, SLUG and Zeb2. Importantly, compared to Osimertinib alone, co-targeting EGFR and PDGFRβ robustly suppresses tumor regrowth following treatment cessation both in vitro and in vivo which is consistent with a reduction in the DTP cell population. These data auspiciously demonstrate a two-fold utility of concomitant PDGFRβ inhibition: to enhance the initial efficacy of Osimertinib and to eliminate the DTP and resistant cells following chronic Osimertinib treatment. Further mechanistic studies from integration of ATAC-seq, CUT&RUN and RNA-seq reveal that Osimertinib induces the dynamic cooperativity of chromatin modulator BRD4 with pluripotent POU-domain transcription factors Oct-4, Pit-1 and Brn-3 at putative proximal enhancer elements, facilitating upregulation of PDGFRβ. Collectively, we demonstrate a novel treatment-induced BRD4/POUF epigenetic/transcriptional mediated “RTK switch” that involves co-opting PDGFRβ signaling to activate YAP/TEAD and ERK1/2 as a means of driving adaptive resistance to Osimertinib. These data provide compelling rationale for combined anti-EGFR and PDGFRβ targeted therapy to improve patient outcomes. Citation Format: Antja-Voy Hartley, Caitlyn Weston, Simon Baldacci, William Feng, Mustafa Al-Dulaimi, Claudia Gentile, Matthew Booker, Michael Tolstorokuv, Cigall Kadoch, Pasi Janne. Osimertinib-induced epigenetic and transcriptional reprogramming drives a BRD4-POUF-PDGFRB-YAP-EMT axis of resistance in NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3220.