Thoracic Cancer
Scope & Guideline
Connecting researchers to combat thoracic cancer.
Introduction
Aims and Scopes
- Lung Cancer Research:
The journal publishes extensive research on various subtypes of lung cancer, emphasizing molecular mechanisms, genetic alterations, and therapeutic strategies. - Clinical Trials and Treatment Protocols:
It features studies on clinical trials, treatment protocols, and real-world data that inform the management of lung and thoracic cancers, including novel therapies and combination treatments. - Biomarkers and Prognostic Factors:
Research on the identification and validation of biomarkers for diagnosis, prognosis, and treatment response in lung cancer patients is a key focus. - Surgical Techniques and Innovations:
The journal highlights advancements in surgical techniques, including minimally invasive approaches and robotic-assisted surgeries for lung cancer and other thoracic malignancies. - Immunotherapy and Targeted Therapies:
It covers the ongoing research on immunotherapy and targeted therapies, including their mechanisms, efficacy, and associated adverse effects. - Epidemiology and Health Outcomes:
The journal addresses epidemiological studies that explore the incidence, risk factors, and outcomes related to thoracic cancers, contributing to public health knowledge.
Trending and Emerging
- Genomic and Molecular Profiling:
There is a growing emphasis on genomic and molecular profiling of thoracic cancers, which aids in personalized medicine approaches and targeted therapies. - Liquid Biopsy and Non-invasive Diagnostics:
Research focusing on liquid biopsy techniques for early detection and monitoring of lung cancer is on the rise, offering less invasive options for patient management. - Immunotherapy Combinations:
Studies exploring combinations of immunotherapy with other treatment modalities, including chemotherapy and targeted therapies, are increasingly prevalent, indicating a shift towards multifaceted treatment strategies. - Artificial Intelligence and Machine Learning:
The integration of artificial intelligence and machine learning in diagnostic processes and treatment planning is emerging as a significant trend, reflecting advancements in technology within oncology. - Patient-Centered Outcomes and Quality of Life:
Research focusing on patient-reported outcomes, quality of life, and survivorship issues in lung cancer patients is gaining prominence, highlighting the importance of holistic care.
Declining or Waning
- Traditional Chemotherapy Studies:
There has been a noticeable decrease in publications focused solely on traditional chemotherapy regimens, as the field shifts towards exploring immunotherapies and targeted therapies. - Basic Science without Clinical Application:
Research that does not bridge basic science findings with clinical applications appears to be declining, suggesting a preference for studies that translate laboratory results into clinical practice. - Single-Institution Studies:
The journal has moved towards multicenter studies and collaborative research, leading to fewer publications from single-institution experiences, which may limit the diversity of reported outcomes. - Radiation Therapy Alone:
Research focused exclusively on radiation therapy without the integration of immunotherapy or targeted agents has diminished, as combined modalities are increasingly favored. - Case Reports with Limited Generalizability:
The number of case reports, particularly those that do not provide broader insights applicable to larger patient populations, seems to be waning as the journal emphasizes more comprehensive studies.
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