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February 8, 2026MedComm – Oncology2 citationsOpen Access

Cancer Comorbidities: Clinical Impacts, Mechanistic Insights, and Management Strategies

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TPTaoxing PengSCSiyi ChenNanchang UniversityXHXin HeNanchang University

Key Points

  • The review aims to synthesize knowledge on cancer comorbidities and propose strategies for their management.
  • Systematic review of current literature on cancer comorbidities.
  • Analysis of epidemiological data and clinical impacts.
  • Proposal of a new discipline and theoretical framework for Oncology‐Comorbidity.
  • Emphasis on the role of AI and real-world data in managing comorbidities.
  • Identification of cohort studies as vital research tools.
  • Comorbidities significantly complicate treatment and worsen outcomes for cancer patients.
  • Gaps exist in understanding and managing these comorbidities.
  • The proposed frameworks aim to improve collaboration and assessment in oncology.
  • AI can enhance management strategies for cancer comorbidities effectively.

Abstract

ABSTRACT Cancer patients often have comorbidities that complicate treatment and worsen outcomes. Despite ongoing discussions, the interactions between comorbidities and cancer remain insufficiently understood. In addition, a widely accepted consensus on the document, assessment, and management of these comorbidities has not yet been established. This review aims to systematically synthesize current knowledge and propose a comprehensive framework for addressing these gaps. It summarizes the epidemiology and analyzes the clinical impacts of comorbidities on cancer patients, emphasizing the critical role of effective management of cancer comorbidities. It further examines key management challenges, including gaps in mechanisms and clinical evidence, the lack of precise assessment tools, limited management frameworks, and underdeveloped multidisciplinary collaborations. To address the complex interactions between cancer and comorbidities, this review proposes the establishment of Oncology‐Comorbidity as a novel discipline and Oncology‐Comorbidity Interaction Pathology as a theoretical framework. The assistance of artificial intelligence and real‐world data, together with effective multidisciplinary collaborations, is emphasized as an essential management strategy. Comprehensive, patient‐centered Life‐Course Cohort Studies are identified as indispensable tools. Ultimately, this review aims to advance the understanding of cancer‐comorbidity interactions, provide a roadmap for optimizing comorbidities management, and offer an effective pathway to improve prognosis and quality of life for cancer patients.

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Cite This Study

Peng et al. (2026) studied this question.

synapsesocial.com/papers/698827b40fc35cd7a8846a13https://doi.org/10.1002/mog2.70052
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