BETWEEN TUMOR BIOLOGY AND THE COMPLEXITY OF LIFE: INTERDISCIPLINARITY, TECHNOLOGY, SUBJECTIVITY, AND EQUITY IN THE CONSTRUCTION OF ONCOLOGICAL CARE
DOI:
https://doi.org/10.63330/aurumpub.070-012Keywords:
Equity, Interdisciplinarity, Oncology, Subjectivity, TechnologyAbstract
Cancer is a complex phenomenon that extends beyond the strictly biological dimension and encompasses systemic processes, subjective experiences, interdisciplinary relationships, emerging technologies, and inequalities in access to care. This study aimed to analyze the interconnections among tumor biology, interdisciplinarity, technology, subjectivity, and equity in the construction of contemporary oncology care. The study is justified by the need to understand how scientific and technological advances can be integrated into person-centered care practices without disregarding social differences and individual needs. This integrative literature review was conducted in PubMed, Scopus, Latindex, the CAPES Journals Portal, and the Virtual Health Library and considered publications from 2021 to 2026 in Portuguese and English. Oncology studies addressing interdisciplinarity, technologies, artificial intelligence, subjectivity, humanization, or equity were included. The findings demonstrated a transition from predominantly biologicist models toward systemic and integrative perspectives. Artificial intelligence showed potential to support diagnosis, prognosis, treatment personalization, and decision-making, although challenges persist regarding data quality, bias, validation, safety, and governance. It is concluded that oncology care requires the integration of technological innovation, interdisciplinary collaboration, recognition of subjectivity, and a commitment to equity, while preserving the centrality of the person in the care process.
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References
BARONE, M. et al. A lived experience perspective on empowering people with diabetes through accessible point-of-care technology in Brazil. Journal of Patient Experience, v. 12, 2025.
CASOTTI, M. C. et al. Integrating frontiers: a holistic, quantum and evolutionary approach to conquering cancer through systems biology and multidisciplinary synergy. Frontiers in Oncology, v. 14, 2024.
CHENG, C. H.; SHI, S.-S. Artificial intelligence in cancer: applications, challenges, and future perspectives. Molecular Cancer, v. 24, 2025.
COBANJ, M. et al. Advancing equitable and personalized cancer care: novel applications and priorities of artificial intelligence for fairness and inclusivity in the patient care workflow. European Journal of Cancer, v. 198, p. 113504, 2023.
COHEN, L.; BEN-ARYE, E. Integrative oncology: evolution, framework, and future directions. Frontiers in Oncology, v. 16, 2026.
DANKWA-MULLAN, I.; WEERARATNE, D. Artificial intelligence and machine learning technologies in cancer care: addressing disparities, bias, and data diversity. Cancer Discovery, v. 12, p. 1423-1427, 2022.
FREEDMAN, J. A. et al. Biological aspects of cancer health disparities. Annual Review of Medicine, v. 72, p. 229-241, 2021.
HA, T.; CHOW-WHITE, P. A. The cancer multiple: producing and translating genomic big data into oncology care. Big Data & Society, v. 8, 2021.
HORLAIT, M. et al. Understanding the complexity, underlying processes, and influencing factors for optimal multidisciplinary teamwork in hospital-based cancer teams. Cancer Nursing, v. 44, p. E476-E492, 2021.
HWANG, W. L. et al. Integrating priorities at the intersection of cancer and neuroscience. Cancer Cell, v. 43, p. 1-5, 2024.
JULLIOT-DELVAL, A. et al. Access to innovation in oncology from patients’ perspectives: a qualitative systematic review. eClinicalMedicine, v. 94, 2026.
KELLY-BROWN, J. et al. Intersectionality in cancer care: a systematic review of current research and future directions. Psycho-Oncology, v. 31, p. 705-716, 2022.
LASTRA, R. et al. Oncology with common sense: beyond biologistic and pharmacological models. ecancermedicalscience, v. 20, 2026.
LIN, B. et al. Intelligent oncology: the convergence of artificial intelligence and oncology. Journal of the National Cancer Center, v. 3, p. 83-91, 2022.
LOTTER, W. et al. Artificial intelligence (AI) in oncology: current landscape, challenges, and future directions. Cancer Discovery, v. 14, p. 711-726, 2024.
MACHEKA, S. et al. Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review. BMJ Oncology, v. 3, 2024.
MÄURER, M. et al. Importance of interdisciplinarity in modern oncology: results of a national intergroup survey of the Young Oncologists United (YOU). Journal of Cancer Research and Clinical Oncology, v. 149, p. 10075-10084, 2023.
NASCIMENTO, J. V. S. et al. Ser, cuidar e existir: fundamentos ontológicos do cuidado interdisciplinar em saúde. Veredas do Direito, [S. l.], v. 23, n. 14, p. e238268, 2026.
PRADEU, T. et al. Reuniting philosophy and science to advance cancer research. Biological Reviews of the Cambridge Philosophical Society, v. 98, p. 1668-1686, 2023.
RIAZ, B. I.; KHAN, M. A.; OSTERMAN, T. J. Artificial intelligence across the cancer care continuum. Cancer, v. 131, 2025.
ROBATJAZI, M. et al. Artificial intelligence in cancer management: promise, pragmatism, and preparedness. Asian Pacific Journal of Cancer Care, 2026.
SWANTON, C. et al. Embracing cancer complexity: hallmarks of systemic disease. Cell, v. 187, p. 1589-1616, 2024.
TIEU, M. Cancer survivorship and the significance of an integrated diachronic life course perspective. Sociology of Health & Illness, v. 47, 2025.
TRAVAGLINI, I. D. M. S. Humanização do cuidado em saúde: a incorporação de tecnologias leves na atenção oncológica. 2024. Monografia (Especialização em Oncologia) – Instituto Nacional do Câncer, 2024.
WANG, X. et al. Artificial intelligence in multidisciplinary tumor boards enhancing decision making and clinical outcomes in oncology. iScience, v. 28, 2025.
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