Cancer Cell International
Scope & Guideline
Unveiling Innovations in Cancer Biology
Introduction
Aims and Scopes
- Molecular Mechanisms of Cancer Progression:
Research articles often explore the intricate molecular pathways involved in cancer initiation and progression, including signaling pathways like Wnt/β-catenin, PI3K/AKT, and mTOR, which are critical for understanding tumor biology. - Role of Non-coding RNAs:
The journal frequently publishes studies on the regulatory roles of long non-coding RNAs (lncRNAs) and microRNAs in cancer, highlighting their potential as therapeutic targets and biomarkers for diagnosis and prognosis. - Tumor Microenvironment Interactions:
Research on the interactions between tumor cells and the tumor microenvironment, including cancer-associated fibroblasts and immune cells, is a significant focus, emphasizing the complexity of tumor biology and the potential for targeted therapies. - Therapeutic Strategies and Drug Resistance:
Papers often address novel therapeutic approaches, including immunotherapy and targeted therapies, as well as mechanisms of drug resistance, providing insights into improving treatment efficacy. - Clinical Implications and Biomarkers:
The journal emphasizes translational research that connects laboratory findings with clinical applications, aiming to identify novel biomarkers for cancer diagnosis, prognosis, and treatment response.
Trending and Emerging
- Immunotherapy and Immune Checkpoint Inhibition:
There is a rising trend in studies focusing on immunotherapy, including immune checkpoint inhibitors and CAR-T cell therapies, indicating a shift towards harnessing the immune system in cancer treatment. - Targeting the Tumor Microenvironment:
Research articles increasingly explore the role of the tumor microenvironment, highlighting the interactions between cancer cells and surrounding stromal and immune cells, which is critical for understanding tumor behavior and treatment response. - Metabolic Reprogramming in Cancer Cells:
Emerging research on how cancer cells reprogram their metabolism to support growth and survival is gaining traction, with a focus on metabolic pathways that could serve as therapeutic targets. - Application of Machine Learning and AI in Oncology:
The integration of machine learning and artificial intelligence in cancer research is on the rise, facilitating personalized medicine approaches and enhancing predictive modeling for treatment responses. - Circular RNAs and Novel Biomarkers:
There is an increasing focus on circular RNAs as potential biomarkers for cancer diagnosis and prognosis, reflecting a growing interest in non-coding RNA research.
Declining or Waning
- Traditional Chemotherapy Approaches:
There seems to be a declining emphasis on traditional chemotherapy methods as the primary focus shifts towards targeted therapies and immunotherapy, reflecting the broader trends in cancer treatment. - Single-agent Drug Studies:
Research focusing solely on the efficacy of single-agent drugs is becoming less common, with a growing preference for combination therapies that leverage synergistic effects. - Basic Cancer Biology without Clinical Relevance:
Studies that do not bridge the gap between basic cancer biology and clinical application are becoming less prevalent, as the journal aims to maintain relevance to clinical oncologists and researchers.
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