NEOPLASIA
Scope & Guideline
Empowering researchers to redefine cancer treatment.
Introduction
Aims and Scopes
- Cancer Biology and Mechanisms:
Research focused on understanding the underlying biological mechanisms of cancer, including genetic mutations, signaling pathways, and cellular processes that contribute to tumorigenesis. - Therapeutic Targets and Drug Development:
Exploration of new therapeutic targets and the development of innovative drugs, including small molecules, monoclonal antibodies, and immunotherapeutic agents. - Tumor Microenvironment and Immune Interactions:
Investigation of the tumor microenvironment's role in cancer progression, immune evasion, and response to therapy, including studies on tumor-infiltrating lymphocytes and immune checkpoint inhibitors. - Clinical Applications and Patient Outcomes:
Studies that bridge laboratory research with clinical applications, focusing on treatment efficacy, patient stratification, and real-world evidence to improve cancer care. - Genomic and Epigenomic Profiling:
Research utilizing genomic and epigenomic technologies to identify biomarkers for early detection, prognosis, and personalized treatment strategies.
Trending and Emerging
- Immunotherapy and Immune Modulation:
There is a significant increase in studies exploring immunotherapy, including checkpoint inhibitors, CAR T-cell therapy, and combination strategies that enhance anti-tumor immune responses. - Targeting the Tumor Microenvironment:
Emerging research focuses on the tumor microenvironment, including the roles of stromal cells, extracellular matrix components, and immune cell interactions in cancer progression and therapy resistance. - Precision Medicine and Genomic Profiling:
A trend towards personalized medicine is evident, with increasing studies on genomic profiling, biomarker discovery, and targeted therapies tailored to individual patient profiles. - Metabolic Reprogramming in Cancer:
Research investigating how cancer cells alter their metabolism to support growth and survival is gaining traction, particularly in understanding drug resistance and therapeutic vulnerabilities. - Artificial Intelligence and Machine Learning in Oncology:
The integration of AI and machine learning technologies in cancer research and diagnostics is rapidly emerging, with studies focusing on predictive modeling, imaging analysis, and treatment optimization.
Declining or Waning
- Traditional Chemotherapy Studies:
Research centered on conventional chemotherapy regimens appears to be waning as newer targeted therapies and immunotherapies gain prominence in clinical practice. - Single-Agent Drug Studies:
There is a noticeable decrease in studies focusing solely on single-agent drug efficacy, with a growing trend towards combination therapies that target multiple pathways. - Basic Histopathology:
While foundational histopathological studies remain important, there is a shift towards advanced molecular and genomic approaches that provide deeper insights into cancer biology. - Non-Molecular Biomarkers:
Research on traditional non-molecular biomarkers is less prevalent as the field moves towards integrating molecular and genetic markers for better prognostic accuracy.
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