CANCER SCIENCE
Scope & Guideline
Pioneering discoveries in cancer biochemistry and genetics.
Introduction
Aims and Scopes
- Cancer Biology and Mechanisms:
Research articles that explore the underlying biological processes of cancer development, including genetic mutations, epigenetic modifications, and signaling pathways that drive tumorigenesis. - Therapeutic Strategies and Drug Development:
Studies evaluating novel therapeutic agents and combinations, including targeted therapies, immunotherapies, and combination treatments aimed at improving patient outcomes in various cancer types. - Tumor Microenvironment and Immune Response:
Investigations into the interactions between tumor cells and their microenvironment, including immune cell dynamics, stromal interactions, and the impact of the microenvironment on cancer progression and therapy resistance. - Clinical and Translational Research:
Clinical studies that assess treatment efficacy, biomarkers for patient stratification, and the integration of genomic profiling into clinical practice to personalize cancer therapy. - Preventive Oncology and Public Health:
Research addressing cancer prevention strategies, epidemiological studies, and the impact of lifestyle factors on cancer incidence and outcomes.
Trending and Emerging
- Liquid Biopsy and Circulating Tumor DNA (ctDNA):
The use of liquid biopsy techniques for early cancer detection, monitoring treatment response, and understanding tumor heterogeneity is increasingly prevalent, highlighting the shift towards non-invasive diagnostic methods. - Immunotherapy and Tumor Microenvironment:
Research focusing on the role of the immune system in cancer, including immune checkpoint inhibitors and the dynamics of the tumor microenvironment, is rapidly expanding as immunotherapy becomes a cornerstone of cancer treatment. - Personalized and Precision Medicine:
The integration of genomic profiling and personalized treatment regimens tailored to individual patients is a growing focus, driven by advancements in genomics and bioinformatics. - Targeting Cancer Metabolism:
Emerging studies are increasingly focused on cancer metabolism and metabolic reprogramming as therapeutic targets, exploring how metabolic pathways can be exploited for cancer treatment. - Advancements in Artificial Intelligence and Machine Learning:
The application of AI and machine learning to cancer research, particularly in diagnostics, prognostic modeling, and treatment predictions, is on the rise, reflecting technological advancements in data analysis.
Declining or Waning
- Traditional Chemotherapy Approaches:
Research focused solely on traditional chemotherapy drugs is becoming less common as new targeted therapies and personalized medicine approaches gain prominence in the field. - Single-Agent Studies:
Studies evaluating the efficacy of single-agent therapies are decreasing as combination therapies that leverage multi-modal approaches show better outcomes in clinical trials. - Basic Science Without Clinical Relevance:
Research that lacks a clear translational aspect or clinical application is being overshadowed by studies that bridge basic science with clinical insights.
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