{"title":"Early identification and prevention of depressive symptoms in breast cancer patients.","authors":"De-Hui Li, Chang Qiao, Xiao-Tong Tian, Jian-Li Ge","doi":"10.5306/wjco.v16.i7.106792","DOIUrl":null,"url":null,"abstract":"<p><p>Breast cancer ranks among the most prevalent cancers worldwide, particularly affecting young and middle-aged women, who face higher recurrence rates, lower survival rates, and substantial psychological health challenges. Depressive symptoms, frequently observed in breast cancer patients, significantly influence treatment outcomes and quality of life. Recent years have seen a growing focus on these symptoms, emphasizing early identification and intervention. This editorial comments on the recent study by Mao <i>et al</i> on a risk prediction model for depression in young and middle-aged breast cancer patients. Research suggests that factors such as tumor grade, monthly income, pain perception, family support, and physical activity critically influence the onset of depressive symptoms. By developing personalized risk prediction models, it becomes possible to identify high-risk patients early, allowing healthcare professionals to implement preventive strategies proactively. The editorial advocates for increased attention and resources dedicated to psychological health interventions for breast cancer patients, aiming to foster comprehensive care strategies that mitigate the impacts of depression and enhance overall quality of life.</p>","PeriodicalId":23802,"journal":{"name":"World journal of clinical oncology","volume":"16 7","pages":"106792"},"PeriodicalIF":3.2000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12305013/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World journal of clinical oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5306/wjco.v16.i7.106792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Breast cancer ranks among the most prevalent cancers worldwide, particularly affecting young and middle-aged women, who face higher recurrence rates, lower survival rates, and substantial psychological health challenges. Depressive symptoms, frequently observed in breast cancer patients, significantly influence treatment outcomes and quality of life. Recent years have seen a growing focus on these symptoms, emphasizing early identification and intervention. This editorial comments on the recent study by Mao et al on a risk prediction model for depression in young and middle-aged breast cancer patients. Research suggests that factors such as tumor grade, monthly income, pain perception, family support, and physical activity critically influence the onset of depressive symptoms. By developing personalized risk prediction models, it becomes possible to identify high-risk patients early, allowing healthcare professionals to implement preventive strategies proactively. The editorial advocates for increased attention and resources dedicated to psychological health interventions for breast cancer patients, aiming to foster comprehensive care strategies that mitigate the impacts of depression and enhance overall quality of life.
期刊介绍:
The WJCO is a high-quality, peer reviewed, open-access journal. The primary task of WJCO is to rapidly publish high-quality original articles, reviews, editorials, and case reports in the field of oncology. In order to promote productive academic communication, the peer review process for the WJCO is transparent; to this end, all published manuscripts are accompanied by the anonymized reviewers’ comments as well as the authors’ responses. The primary aims of the WJCO are to improve diagnostic, therapeutic and preventive modalities and the skills of clinicians and to guide clinical practice in oncology. Scope: Art of Oncology, Biology of Neoplasia, Breast Cancer, Cancer Prevention and Control, Cancer-Related Complications, Diagnosis in Oncology, Gastrointestinal Cancer, Genetic Testing For Cancer, Gynecologic Cancer, Head and Neck Cancer, Hematologic Malignancy, Lung Cancer, Melanoma, Molecular Oncology, Neurooncology, Palliative and Supportive Care, Pediatric Oncology, Surgical Oncology, Translational Oncology, and Urologic Oncology.