Background: Breast cancer is the most common cancer in adolescents and young adults. Social media, particularly TikTok, has emerged as a crucial platform for sharing health information in this population. This study aims to characterize breast cancer surgery information on TikTok, focusing on content reliability, viewer reception, and areas for improvement.
Methods: We queried the search terms "breast cancer surgery," "mastectomy," and "lumpectomy" on TikTok, evaluating the top 50 videos for each. After watching each video, characteristics were recorded including: creator characteristics, video metrics, viewer reception, and video content. Statistical analysis was performed using Spearman's rank correlations and t-tests.
Results: A total of 138 videos were analyzed (excluding 12 duplicates from the initial 150). These videos received 4,895,373 likes and 109,705 comments. The most common content types were storytelling (57%) and education (20%), and the most common creator types were patients (77.3%) and physicians (10.3%). Videos with educational content by physicians were rare (6.5%). Engagement varied on the basis of video length, search terms, and creator characteristics. Overall, viewer comments predominantly expressed support and interest.
Conclusions: Our study reveals that information on breast cancer surgery is widely shared on TikTok and has high viewer engagement. Factors influencing impact include video length, creator background, and search terms. While social media has democratized information sharing, there is a relative lack of physician creators providing objective and educational content. We highlight opportunities for health professionals to engage in social media as a tool for health education and ensure diverse and reliable healthcare content on these platforms.
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http://dx.doi.org/10.1245/s10434-024-15268-y | DOI Listing |
IUBMB Life
January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFCancer
February 2025
General Medicine Service, VA Puget Sound Health Care System, Seattle, Washington, USA.
Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.
Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.
Cancer
February 2025
Departmental Unit of Molecular and Genomic Diagnostics, Genomics Core Facility, G-STeP, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Background: To date, 11 DNA polymerase epsilon (POLE) pathogenic variants have been declared "hotspot" mutations. Patients with endometrial cancer (EC) characterized by POLE hotspot mutations (POLEmut) have exceptional survival outcomes. Whereas international guidelines encourage deescalation of adjuvant treatment in early-stage POLEmut EC, data regarding safety in POLEmut patients with unfavorable characteristics are still under investigation.
View Article and Find Full Text PDFStat Med
February 2025
Department of Mathematical Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Multi-gene panel testing allows efficient detection of pathogenic variants in cancer susceptibility genes including moderate-risk genes such as ATM and PALB2. A growing number of studies examine the risk of breast cancer (BC) conferred by pathogenic variants of these genes. A meta-analysis combining the reported risk estimates can provide an overall estimate of age-specific risk of developing BC, that is, penetrance for a gene.
View Article and Find Full Text PDFBMC Rheumatol
January 2025
Department of Rheumatology, Overton Brooks VA Medical Center, Shreveport, LA, USA.
Background: Dermatomyositis is a chronic inflammatory condition affecting muscles and skin, often associated with an increased risk of cancer. Specific autoantibodies, including anti-TIF1 (Transcription Intermediary Factor 1), have been linked to this risk. We present a case of dermatomyositis in a male patient positive for anti-TIF1 antibodies, subsequently diagnosed with squamous cell carcinoma of the tonsil, a novel association not previously documented.
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