Cancer Genetics and Epigenetics, 2025, Vol.13, No.5, 224-235 http://medscipublisher.com/index.php/cge 226 3 The Quality of Life of Cancer Patients 3.1 Multi-dimensional structure The quality of life (QoL) of cancer patients is a comprehensive concept that encompasses multiple dimensions such as physical, psychological, social and functional aspects. Physical discomfort symptoms, such as pain, fatigue and decreased ability to perform daily activities, are often exacerbated by cancer treatment or other health issues. The psychological aspects may include depression, anxiety, low mood and weakened coping ability. These not only seriously affect overall well-being, but are also closely related to the severity of physical symptoms and disease progression (Bognar et al., 2024). Both social and functional aspects are equally important. Cancer may affect a patient's role in the family, social interaction, and ability to work or participate in community activities. Generally speaking, the social support that can be felt is regarded as a protective resource that helps enhance the ability to cope with difficulties and recover. However, impaired social functioning and role limitations often reduce the quality of life and increase psychological stress (Amat-Fernandez et al., 2025; Marzorati et al., 2025). Functional status involves the ability to carry out daily activities and maintain an independent life. It is both a factor influencing the quality of life and is often regarded as a result of it. Functional decline usually means that the patient requires more care or additional support (Othman et al., 2023). 3.2 Common evaluation tools To comprehensively assess the quality of life of cancer patients, there are currently a variety of relatively mature multi-dimensional measurement methods. EORTC QLQ-C30 is often used to assess physical, role, emotional, cognitive and social functions, as well as the severity of symptoms and overall life status (Hong et al., 2023). FACT-G (Functional Assessment Scale for Cancer Treatment) involves multiple aspects such as physical, social/family, emotional and functional aspects, and can comprehensively reflect the actual experience of patients. EQ-5D-5L, Karnofsky Performance Rating Scale and Edmonton Symptom Assessment System, etc. are also often used to understand overall health status, symptom burden and functional independence (Othman et al., 2023). These tools can help medical staff identify unmet needs of patients, follow up on changes in the situation, and then adjust treatment and assistance methods according to the situation, thereby promoting patient-centered personalized care (Marzorati et al., 2025). Regularly assessing the quality of life has gradually become a routine task in the field of clinical oncology. This is not only helpful for comprehensive care, but also can improve communication between medical staff and patients (De Souza et al., 2024). 3.3 Association between quality of life, treatment compliance and prognosis There is a close mutual influence among the quality of life, treatment compliance and disease outcomes of cancer patients. Poor quality of life is often accompanied by more severe physical symptoms, psychological stress and a sense of social isolation, all of which may reduce patients' willingness to follow the treatment plan and thereby adversely affect the therapeutic effect (Marzorati et al., 2025). Conversely, patients with a higher quality of life (especially in terms of physical and emotional aspects) usually cooperate more actively with the treatment, have a better functional status, and have stronger tolerance and recovery ability to the treatment (Hong et al., 2023). The quality of life before treatment can be regarded as an independent factor for predicting the survival of patients with different cancers. Generally, patients with a higher quality of life score tend to have a longer survival period and better therapeutic effects. Therefore, in the routine diagnosis and treatment of cancer, it is necessary to incorporate the assessment of quality of life. This not only helps to improve overall health, but also helps to predict treatment responses and formulate personalized treatment strategies (Okayama et al., 2024). 4 Intervention Measures Based on App and Their Effects 4.1 Core functions Applications for cancer patients typically include three core functions: symptom recording, health information push, and psychological support. Symptom records enable patients to track issues such as pain, fatigue, and poor sleep at any time, facilitating early detection of abnormalities and handling of complications. Health information
RkJQdWJsaXNoZXIy MjQ4ODYzNA==