Mercuţ Răzvan, Ciurea Marius Eugen, Traşcă Emil Tiberius, Ionescu Mihaela, Mercuţ Maria Filoftea, Rădulescu Patricia Mihaela, Călăraşu Cristina, Streba Liliana, Ionescu Alin Gabriel, Rădulescu Dumitru
Department of Plastic and Reconstructive Surgery, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
The Surgery Clinic of "Dr. Ștefan Odobleja Emergency Military Hospital", General Surgery Department, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Diagnostics (Basel). 2024 Dec 7;14(23):2759. doi: 10.3390/diagnostics14232759.
Chronic inflammation and psychosocial factors significantly influence cancer progression and patient behavior in seeking medical care. Understanding their interplay is essential for enhancing early detection and developing personalized treatment strategies. This study aims to develop a comprehensive patient profiling model by comparing non-melanoma skin cancer (NMSC) and colorectal cancer (CRC). The goal is to identify common and distinct patterns in inflammation and psychosocial factors that affect disease progression and clinical presentation. We conducted a comparative analysis of patients diagnosed with NMSC and CRC, integrating clinical data with sociodemographic and psychological assessments. Advanced neural network algorithms were employed to detect subtle patterns and interactions among these factors. Based on the analysis, a cancer risk assessment questionnaire was developed to stratify patients into low-, moderate-, and high-risk categories. Patients with low systemic inflammation and adequate vagal tone, supported by a stable family environment, demonstrated heightened sensitivity to subclinical symptoms, enabling earlier diagnosis and timely intervention. Conversely, patients with high systemic inflammation and reduced vagal tone, often influenced by chronic stress and unstable family environments, presented at more advanced disease stages. The developed risk assessment tool effectively classified patients into distinct risk categories, facilitating targeted preventive measures and personalized therapeutic strategies. Neural network profiling revealed significant interactions between biological and psychosocial factors, enhancing our understanding of their combined impact on cancer progression. The integrated profiling approach and the newly developed risk assessment questionnaire have the potential to transform cancer management by improving early detection, personalizing treatment strategies, and addressing psychosocial factors. This model not only enhances clinical outcomes and patient quality of life but also offers a framework adaptable to other cancer types, promoting a holistic and patient-centered approach in oncology.
慢性炎症和社会心理因素显著影响癌症进展以及患者寻求医疗护理的行为。了解它们之间的相互作用对于加强早期检测和制定个性化治疗策略至关重要。本研究旨在通过比较非黑色素瘤皮肤癌（NMSC）和结直肠癌（CRC）来开发一个全面的患者特征分析模型。目标是识别影响疾病进展和临床表现的炎症及社会心理因素中的共同和独特模式。我们对诊断为NMSC和CRC的患者进行了比较分析，将临床数据与社会人口统计学和心理评估相结合。采用先进的神经网络算法来检测这些因素之间的细微模式和相互作用。基于该分析，开发了一份癌症风险评估问卷，将患者分为低风险、中风险和高风险类别。全身炎症水平低且迷走神经张力充足、有稳定家庭环境支持的患者，对亚临床症状表现出更高的敏感性，能够实现更早诊断和及时干预。相反，全身炎症水平高且迷走神经张力降低的患者，往往受到慢性压力和不稳定家庭环境的影响，在疾病更晚期才就诊。所开发的风险评估工具有效地将患者分为不同的风险类别，便于采取有针对性的预防措施和个性化治疗策略。神经网络特征分析揭示了生物学和社会心理因素之间的显著相互作用，增强了我们对它们对癌症进展综合影响的理解。综合特征分析方法和新开发的风险评估问卷有可能通过改善早期检测（、）个性化治疗策略以及解决社会心理因素来改变癌症管理。该模型不仅提高临床疗效和患者生活质量，还提供了一个可适用于其他癌症类型的框架，促进肿瘤学中以患者为中心的整体方法。
