BMC CANCER
Scope & Guideline
Bridging Knowledge Gaps in Oncology
Introduction
Aims and Scopes
- Cancer Biology and Mechanisms:
Research exploring the molecular and cellular mechanisms underlying cancer development and progression, including studies on genetic mutations, epigenetic changes, and tumor microenvironment interactions. - Clinical Oncology and Treatment Strategies:
Investigations into various treatment modalities for cancer patients, including chemotherapy, radiotherapy, immunotherapy, and novel therapeutic agents, along with studies assessing treatment efficacy and safety. - Epidemiology and Public Health:
Studies addressing cancer epidemiology, including risk factors, incidence, prevalence, and survival rates, particularly in diverse populations and underrepresented communities. - Biomarkers and Early Detection:
Research focused on identifying novel biomarkers for cancer diagnosis, prognosis, and treatment response, as well as studies on screening methods and technologies for early cancer detection. - Patient-Centered Outcomes:
Investigations into health-related quality of life, patient experiences, and psychosocial aspects of cancer care, highlighting the importance of patient perspectives in oncology. - Translational Research:
Studies bridging laboratory findings with clinical applications, aiming to translate basic research discoveries into effective cancer therapies and improved patient outcomes.
Trending and Emerging
- Immunotherapy and Immune Profiling:
Research on immunotherapy, including immune checkpoint inhibitors and CAR-T cell therapies, is rapidly increasing, focusing on understanding immune responses and patient stratification based on immune profiles. - Microbiome and Cancer Relationships:
An emerging area of interest is the relationship between the microbiome and cancer, with studies exploring how gut microbiota influences cancer development, treatment responses, and patient outcomes. - Precision Medicine and Genomic Profiling:
There is a growing emphasis on precision medicine, with researchers focusing on genomic profiling to tailor treatments based on individual patient characteristics and tumor genetics. - Patient-Reported Outcomes and Quality of Life:
Increasing attention is being paid to patient-reported outcomes and quality of life assessments, emphasizing the importance of holistic care and survivorship issues in cancer management. - Artificial Intelligence and Machine Learning in Oncology:
The integration of AI and machine learning techniques in cancer research is gaining traction, with applications in early detection, treatment prediction, and personalized therapy planning. - Long Non-Coding RNAs in Cancer:
Research into long non-coding RNAs as potential biomarkers and therapeutic targets is on the rise, reflecting a broader interest in the regulatory roles of non-coding RNA in cancer biology.
Declining or Waning
- Traditional Chemotherapy Studies:
There has been a noticeable decrease in studies solely focused on traditional chemotherapy regimens, as the field shifts towards exploring combination therapies and personalized treatment approaches. - Basic Science without Clinical Relevance:
Research articles that focus exclusively on basic science findings without clear clinical implications are becoming less prevalent, as the emphasis now leans towards translational research with direct applications in patient care. - Single-Institution Studies:
The trend is moving away from single-institution studies towards multi-center collaborations and larger cohort analyses, which provide more generalizable results and insights. - Longitudinal Studies without Novel Insights:
Longitudinal studies that do not introduce new methodologies or significant findings related to cancer treatment or patient outcomes are less frequently published, reflecting a preference for innovative research.
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