USP9X stabilizes XIAP to regulate mitotic cell death and chemoresistance in aggressive B-cell lymphoma

The mitotic spindle assembly checkpoint (SAC) maintains genome stability and marks an important target for antineoplastic therapies. However, it has remained unclear how cells execute cell fate decisions under conditions of SAC‐induced mitotic arrest. Here, we identify USP9X as the mitotic deubiquitinase of the X‐linked inhibitor of apoptosis protein (XIAP) and demonstrate that deubiquitylation and stabilization of XIAP by USP9X lead to increased resistance toward mitotic spindle poisons. We find that primary human aggressive B‐cell lymphoma samples exhibit high USP9X expression that correlate with XIAP overexpression. We show that high USP9X/XIAP expression is associated with shorter event‐free survival in patients treated with spindle poison‐containing chemotherapy. Accordingly, aggressive B‐cell lymphoma lines with USP9X and associated XIAP overexpression exhibit increased chemoresistance, reversed by specific inhibition of either USP9X or XIAP. Moreover, knockdown of USP9X or XIAP significantly delays lymphoma development and increases sensitivity to spindle poisons in a murine Eμ‐Myc lymphoma model. Together, we specify the USP9X–XIAP axis as a regulator of the mitotic cell fate decision and propose that USP9X and XIAP are potential prognostic biomarkers and therapeutic targets in aggressive B‐cell lymphoma

Implementation of the Multiple-Measure Maximum Likelihood strategy classification method in R

One major challenge to behavioral decision research is to identify the cognitive processes underlying judgment and decision making. Gloeckner (2009) has argued that, compared to previous methods, process models can be more efficiently tested by simultaneously analyzing choices, decision times, and confidence judgments. The Multiple-Measure Maximum Likelihood (MM-ML) strategy classification method was developed for this purpose and implemented as a ready-to-use routine in STATA, a commercial package for statistical data analysis. In the present article, we describe the implementation of MM-ML in R, a free package for data analysis under the GNU general public license, and we provide a practical guide to application. We also provide MM-ML as an easy-to-use R function. Thus, prior knowledge of R programming is not necessary for those interested in using MM-ML

Can We Trust Intuitive Jurors? Standards of Proof and the Probative Value of Evidence in Coherence-Based Reasoning

Jury members are confronted with highly complex, ill-defined problems. Coherence-based reasoning (Pennington & Hastie 1992; Simon 2004), which partially relies on intuitive-automatic processing, empowers them to nonetheless make meaningful decisions. These processes, however, have a downside. We tested possible negative effects in a set of studies. Specifically, we investigated whether stricter standards of proof are suppressed by stronger coherence shifts and whether the probative value of the evidence is properly taken into account. We found that U.S. model jury instructions for preponderance of the evidence and beyond a reasonable doubt influence conviction rates in the intended direction and are not undermined by coherence shifts, although probabilistic estimations of these standards are inappropriate. However, even massive changes in explicitly stated probabilities, while holding the overall constellation of facts constant, did not influence conviction rates or the estimated probability of conviction. We argue that reforms in legal procedure should focus on measures to reduce the negative side effects of coherence-based reasoning in general but, more specifically, to make probabilistic information better evaluable for decisionmakers in law

When Relevance Matters Anchoring Effects Can be Larger for Relevant Than for Irrelevant Anchors

Studies on anchoring effects indicate that judgments can be biased by previous comparisons to high- or low-anchor values. Anchoring effects have been demonstrated in many domains and they have been found both for relevant anchors that provide partially valid information concerning the assessed target as well as for irrelevant anchors that clearly don't. Based on previous findings it has been argued that anchoring effects are independent of the relevance of the anchor. In research on multiple-cue inferences it has, however, been found that individuals are highly sensitive to the relevance (validity) of cues. In two studies on sentencing decisions we show that relevant anchors influence sentencing decisions to a larger degree than irrelevant ones. We consistently find an effect of relevance for high anchors. Results still remain a bit mixed since the effect of relevance did not hold for low anchors that were introduced in the second study

A fine-grained analysis of the jumping-to-conclusions bias in schizophrenia

Impaired decision behavior has been repeatedly observed in schizophrenia patients. We investigated several cognitive mechanisms that might contribute to the jumping-to-conclusions bias (JTC) seen in schizophrenia patients: biases in information-gathering, information weighting and integration, and overconfidence, using the process tracing paradigm Mouselab. Mouselab allows for an in-depth exploration of various decision-making processes in a structured information environment. A total of 37 schizophrenia patients and 30 healthy controls participated in the experiment. Although showing less focused and systematic information search, schizophrenia patients practically considered all pieces of information and showed no JTC in the sense of collecting less pieces of evidence. Choices of patients and controls both approximated a rational solution quite well, but patients showed more extreme confidence ratings. Both groups mainly used weighted additive decision strategies for information integration and only a small proportion relied on simple heuristics. Under high stress induced by affective valence plus time pressure, however, schizophrenia patients switched to equal weighting strategies: less valid cues and more valid ones were weighted equally

A fine-grained analysis of the jumping-to-conclusions bias in schizophrenia: Data-gathering, response confidence, and information integration}

Impaired decision behavior has been repeatedly observed in schizophrenia patients. We investigated several cognitive mechanisms that might contribute to the jumping-to-conclusions bias (JTC) seen in schizophrenia patients: biases in information-gathering, information weighting and integration, and overconfidence, using the process tracing paradigm Mouselab. Mouselab allows for an in-depth exploration of various decision-making processes in a structured information environment. A total of 37 schizophrenia patients and 30 healthy controls participated in the experiment. Although showing less focused and systematic information search, schizophrenia patients practically considered all pieces of information and showed no JTC in the sense of collecting less pieces of evidence. Choices of patients and controls both approximated a rational solution quite well, but patients showed more extreme confidence ratings. Both groups mainly used weighted additive decision strategies for information integration and only a small proportion relied on simple heuristics. Under high stress induced by affective valence plus time pressure, however, schizophrenia patients switched to equal weighting strategies: less valid cues and more valid ones were weighted equally.decision making, schizophrenia, jumping to conclusions, heuristics.

Sex Differences Concerning Prosocial Behavior in Social Dilemmas Are (Partially) Mediated by Risk Preferences But Not Social Preferences An In-Depth Analysis Across 10 Countries

Previous results on the prosociality of men and women in social dilemmas are mixed. Studies find more prosocial behavior for men and women; and a meta-analysis (Balliet et al., 2011) reports an overall null effect. Including samples (N = 1,903) from 10 countries that vary concerning gender inequality (e.g., China, Colombia, Sweden), we investigated sex differences in social dilemmas and drivers of these potential differences. We found that men behaved more prosocially, in that they transferred more of their endowment to their interaction partner. This sex difference was descriptively observed for all countries and was partially mediated by differences in risk but not social preferences. Gender inequality did not predict the difference in magnitude of sex differences between countries

Minimizing inequality versus maximizing joint gains: On the relation between personality traits and different prosocial motivations

The Social Value Orientation (SVO) Slider Measure allows a differentiation between two prosocial motivations: minimizing inequality versus maximizing joint gains. In two studies (N = 1202), we investigated the relation between this suggested continuum from Inequality Aversion (IA) to Joint Gain Maximization (JGM), the HEXACO personality dimensions, and SVO. To account for differences in fairness perception, we also considered whether inequality favored oneself or the other. As hypothesized, Honesty-Humility was the best basic trait predictor of IA, showing a slightly stronger positive link when inequality was self-advantageous. SVO, in turn, showed a stronger (negative) link when inequality was disadvantageous for the self. Overall, the results show that IA is related to (basic) personality traits in a theoretically meaningful way. (C) 2019 Elsevier Inc. All rights reserved

Personality psychology in times of crisis: Profile-specific recommendations on how to deal with COVID-19

The early stages of the COVID-19 pandemic posed a twofold global health threat: Besides the evident danger to human life, the corona crisis is also a psychological crisis. Psychologists worldwide have contributed to cushion the distress that is laid on many societies and enforce adaptive coping strategies. However, psychological support in the past has often been broadly applied, has not been particularly parsimonious and has often been focused on severe psychological stressors. In this brief report we describe the development and application of a low-threshold tool that generates personality-specific recommendations on how to functionally cope with the psychological challenges of the corona crisis. The tool gained widespread attention in Germany and many other countries and was well received by users. It demonstrates how psychological knowledge from personality and health psychology can be combined to be of very concrete use for many people in a threatening situation. We also show that personality is related to health behavior in a crisis in a meaningful way, providing further evidence that personality-specific advice can be a useful approach for supporting persons to cope with the crisis

Coherence-Based Reasoning and Order Effects in Legal Judgments

According to coherence-based models of legal judgment, individuals form coherent mental representations to make sense of the available evidence. In this process, evidence supporting the emerging assessment is accentuated, resulting in coherence effects. Dependent on specific implementations of coherence-based models, in legal tasks both overweighting of evidence that is presented early (a primacy effect) or late (a recency effect) can be predicted. In two studies (N-1 = 221, N-2 = 332), we investigate coherence effects, order effects, and their interrelation in a mock legal case. We manipulate the order in which the evidence is presented, and whether or not individuals are induced to assess provisionally whether they deem the defendant guilty after seeing half of the evidence (leaning). This leaning manipulation should increase primacy effects. We consistently observed recency effects and no stronger influence of primacy effects when people indicate a leaning. Order and leaning did not influence the magnitude of coherence effects. In contrast to previous findings in consumer research and risky choice tasks, coherence effects did not mediate the effect of the order in which the evidence in legal judgments is presented. If our results hold more generally, coherence-based models of legal judgment might have to be revised to give more weight to recency effects as compared to the typically predicted primacy effects. This revision would have implications for the design of criminal procedure