PsyCaB provides an integrated framework to understand cancer and its associated behavior; however, there are still major opportunities that remain in advancing research. There is much to be done in testing the model across diverse populations. More research should explore the application of the PsyCaB model across demographics including age, sex and culture. Exploring the model in specific communities (e.g., rural or low socio-economic status populations) will elucidate unique psychosocial drivers of cancer-related behavior that may not be present outside of these contexts. Another significant area for future work is the impact of risk perception and affect in longitudinal studies. Longitudinal studies could provide insight into how changes in risk perception generated by emotional support or reduced stigma translate into behaviors with more tangible impact on health, such as earlier screenings and connections to treatment. The findings are intended to inform this body of research by detailing psychosocial interventions for promoting cancer-related behaviors across the continuum of care. It is important to investigate stigma's role in preventing access to healthcare. Stigma is widely understood as a barrier to cancer care, but more research should explore how stigma might intersect with barriers in the healthcare system — such as availability of services, affordability and trust in institutions. Together these factors restrict individuals from getting timely cancer screening and treatment, and understanding the mechanisms behind this is helpful in designing prevention strategies to overcome such barriers. Future studies can further adapt and test interventions based on PsyCaB abstract domain model. These include stigma-reduction interventions, community-based psychosocial support and digital health interventions. Such studies would evaluate the implications of these interventions on treatment adherence, psychosocial distress, and the cancer care experience. Moreover, a comparative analysis between the PsyCaB model and more traditional individual-level models of cancer behavior would shed greater light on the relative utilities of a multi-layered perspective for better understanding paradigms leading to successful management of cancer. These studies may underscore the need to explore not only cognitive but also emotional, social and system-level considerations in designing interventions aimed at improving cancer-related behavior. As psychosocial oncology needs to be integrated into cancer care and the digital health boom, future studies should explore how we can use technology in enhancing psychosocial patient management. Mobile apps or online platforms also hold great promise for psychosocial support and increased engagement with cancer care. This research could investigate how these digital tools might fold into the PsyCaB framework for providing accessible, responsive support to people with cancer, at scale and sustainability across a broad geographical area, including underserved or remote areas. 8.0. Conclusion The diagnosis and treatment of cancer is still a matter of more than just biology. From prevention to diagnosis, treatment, and survivorship, people’s engagement with cancer care is profoundly shaped by how they apprehend risk; experience affective reactions; traverse stigma; and access social and institutional support. However, behavioral and psychosocial drivers are frequently studied in isolation, obstructing their ability to explain real-world phenomena or translate into practice. The PsyCaB Model progresses knowledge regarding this domain by offering a unifying framework that integrates cognitive awareness, perceived risk, psychosocial responses to cancer, stigma and social support response processes in a systemic context. Rather than treating cancer-related behavior as simply dictated by knowledge or intention, however, the model conceptualizes it as emerging from dynamic interactions between psychological, social and structural factors throughout the cancer care continuum. Looking ahead, we would encourage behavioural scientists, clinicians and policymakers to work collaboratively and robustly to test and iterate the PsyCaB model across clinical contexts. As a coalition, the field can more swiftly advance integrative theory into practice and effect meaningful changes in cancer care and outcomes. By situating the model in empirical evidence arising from both anticipatory scenarios and lived experience of cancer, we address a much-needed connection between behavioural science and psychosocial oncology facets. It provides a theoretically integrated account of why knowledge does not always lead to action, how stigma interferes with care engagement, and how emotional and social resources can ensnare or promote adaptive behavior. This model extends current conceptualizations by embedding existing health behavior theories in the psychosocial realities of cancer. PsyCaB model represents some key ways to understand different perspectives spanning across research, practice and policy. It can provide a basis for future empirical investigation, help to integrate psychosocial care into standard cancer management and inform public health campaigns to reduce stigma and create supportive contexts. The model is aligned with current public health approaches that advocate for systems thinking and equity across the continuum of cancer care by defining the role of multiple actors (eg, patients, families, healthcare providers, communities, and institutions). The PsyCaB model offers a timely and much-needed theoretical lens to public health and psychosocial oncology. By reconceptualizing cancer behavior as rooted in psychosocial underpinnings and influenced by social microenvironments, the model provides a way toward more holistic research, more responsive care, and effective policy strategies for improving cancer outcomes across diverse contexts.

The PsyCaB framework offers a comprehensive approach to understanding cancer and related behaviors, yet significant research opportunities remain unexplored. Testing this model across varied populations represents a crucial next step. Future studies should examine how the PsyCaB model applies across different demographic groups, including variations in age, gender, and cultural backgrounds. Investigating the model within specific communities, such as rural areas or populations with lower socioeconomic status, could reveal distinct psychosocial factors that influence cancer-related behaviors unique to these settings. Longitudinal research examining risk perception and emotional responses presents another important avenue for future investigation. Such studies could reveal how shifts in risk perception, influenced by emotional support or reduced stigma, lead to behaviors with concrete health benefits like earlier screening and improved treatment engagement. These findings aim to guide research by outlining psychosocial interventions that promote beneficial cancer-related behaviors throughout the care process. Understanding how stigma prevents healthcare access deserves thorough investigation. While stigma is recognized as a barrier to cancer care, researchers should examine how it interacts with healthcare system obstacles like service availability, cost, and institutional trust. These combined factors limit individuals' ability to receive timely cancer screening and treatment, and identifying the underlying mechanisms can help develop prevention strategies to address these barriers. Future research can adapt and test interventions based on the PsyCaB theoretical framework. This includes interventions focused on reducing stigma, providing community-based psychosocial support, and implementing digital health solutions. These studies would assess how such interventions affect treatment compliance, psychological distress, and overall cancer care experiences. Additionally, comparing the PsyCaB model with traditional individual-focused cancer behavior models would illuminate the relative benefits of a multi-layered approach for understanding successful cancer management. Such comparisons might highlight the importance of considering cognitive, emotional, social, and systemic factors when designing interventions to improve cancer-related behaviors. With the growing integration of psychosocial oncology into cancer care and the expansion of digital health, future research should explore how technology can enhance psychosocial patient care. Mobile applications and online platforms show considerable potential for delivering psychosocial support and increasing cancer care engagement. This research could examine how these digital tools integrate with the PsyCaB framework to provide accessible, responsive support for cancer patients at scale across broad geographic areas, including underserved and remote regions. 8.0. Conclusion Cancer diagnosis and treatment involves far more than biological factors. Throughout prevention, diagnosis, treatment, and survivorship, people's involvement with cancer care depends heavily on how they understand risk, experience emotional responses, navigate stigma, and access social and institutional support. Yet behavioral and psychosocial factors are often studied separately, limiting their ability to explain real-world situations or translate into practical applications. The PsyCaB Model advances understanding in this area by providing a unified framework that combines cognitive awareness, risk perception, psychosocial cancer responses, stigma, and social support processes within a systematic context. Instead of viewing cancer-related behavior as simply determined by knowledge or intentions, the model presents it as resulting from dynamic interactions between psychological, social, and structural elements across the cancer care spectrum. Moving forward, we encourage behavioral scientists, clinicians, and policymakers to collaborate extensively in testing and refining the PsyCaB model across various clinical settings. Through collective effort, the field can more rapidly translate integrative theory into practice and create meaningful improvements in cancer care and outcomes. By grounding the model in empirical evidence from both anticipated scenarios and actual cancer experiences, we bridge a crucial gap between behavioral science and psychosocial oncology aspects. The model provides a theoretically integrated explanation for why knowledge doesn't always translate to action, how stigma disrupts care engagement, and how emotional and social resources can either hinder or promote adaptive behaviors. This model expands current understanding by placing existing health behavior theories within the psychosocial realities of cancer. The PsyCaB model represents important pathways for understanding diverse perspectives across research, practice, and policy domains. It can serve as a foundation for future empirical research, help incorporate psychosocial care into standard cancer treatment, and guide public health campaigns aimed at reducing stigma and creating supportive environments. The model aligns with contemporary public health approaches that promote systems thinking and equity throughout cancer care by clarifying the roles of multiple stakeholders, including patients, families, healthcare providers, communities, and institutions. The PsyCaB model provides a timely and essential theoretical perspective for public health and psychosocial oncology. By reframing cancer behavior as grounded in psychosocial foundations and shaped by social environments, the model creates pathways toward more comprehensive research, more responsive care, and effective policy strategies for improving cancer outcomes across diverse contexts.