Prognostic significance and immune landscape of a cell cycle progression-related risk model in bladder cancer
Authors (first, second and last of 14)
Collection
Advancing Cancer Prognosis: Integrating Multiomics and Clinical Characteristics
Cancer prognosis is a critical aspect of oncology that significantly influences treatment decisions and patient outcomes. "Advancing Cancer Prognosis: Integrating Multiomics and Clinical Characteristics" aims to explore the latest developments in predicting the course of cancer by combining insights from multiple omics disciplines and clinical features. This Collection seeks to provide a comprehensive overview of how advancements in multiomics technologies and an in-depth understanding of clinical characteristics can synergistically enhance our ability to prognosticate various cancer types accurately.
The importance of advancing cancer prognosis lies in its profound implications for personalized medicine and patient care. Accurate prediction of a patient's prognosis enables clinicians to tailor treatment strategies, optimizing therapeutic interventions for better outcomes. Integrating multiomics data, such as pathomics, radiomics genomics, transcriptomics, and proteomics, with clinical characteristics offers a holistic view of cancer biology. This approach not only refines prognostic accuracy but also opens avenues for targeted therapies and precision medicine. Ultimately, by enhancing our prognostic capabilities, we empower healthcare professionals to make informed decisions, improve patient outcomes, and contribute to the ongoing evolution of cancer care.
This Collection aligns with the journal's scope by delving into the intersection of multiomics and clinical characteristics in cancer prognosis. Subtopics will encompass the integration of genomics, transcriptomics, proteomics, and other omics data with traditional clinical features. We encourage submissions that explore novel methodologies, predictive models, and advancements in technology that contribute to refining cancer prognostication. Preferred article types include original research studies, systematic reviews, and meta-analyses. By showcasing diverse research approaches, this Collection aspires to contribute to the journal's mission of advancing knowledge in oncology and promoting evidence-based practices.
Keywords: cancer prognosis, multiomics, personalized medicine
Editors
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Dechao Feng
Sichuan University, China.
Dr. Dechao Feng is a researcher at Sichuan University, and a Specially-invited Expert in the Department of Rehabilitation, The Affiliated Hospital of Southwest Medical University. He serves as the Senior Scientific Consultant of Basebio Company. Dr. Feng is a committee member of the Pharmaceutical and Rehabilitation Special Committee of the China Association of Rehabilitation Medicine, the Tumor Rehabilitation Special Committee of the Sichuan Acupuncture Association, and the Youth Committee of the Journal of Rehabilitation Medicine.
Articles (3 in this collection)
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Advances in tumor microenvironment and underlying molecular mechanisms of bladder cancer: a systematic review
Authors (first, second and last of 11)
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Integrating iron metabolism-related gene signature to evaluate prognosis and immune infiltration in nasopharyngeal carcinoma
Authors (first, second and last of 16)
