Biomarker Research

Scope & Guideline

Connecting global minds to elevate biomarker science.

Introduction

Delve into the academic richness of Biomarker Research with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN-
PublisherBMC
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationBIOMARK RES / Biomark. Res.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressCAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Aims and Scopes

The journal "Biomarker Research" is dedicated to advancing the understanding of biomarkers in cancer research and therapy, emphasizing the interplay between molecular biology, immunology, and clinical applications. The journal serves as a platform for disseminating innovative research that explores the development, validation, and application of biomarkers across various cancers.
  1. Cancer Biomarkers Discovery and Validation:
    Focuses on identifying novel biomarkers that can aid in cancer detection, prognosis, and treatment response, employing techniques such as genomic sequencing, proteomics, and metabolomics.
  2. Immunotherapy and Immune Microenvironment:
    Examines the role of biomarkers in immunotherapy, including the characterization of tumor-infiltrating lymphocytes, immune checkpoint molecules, and the tumor microenvironment's impact on therapeutic outcomes.
  3. Multi-Omics Approaches:
    Utilizes integrated multi-omics strategies (genomics, transcriptomics, proteomics, and metabolomics) to provide comprehensive insights into cancer biology and therapeutic responses.
  4. Liquid Biopsy and Non-Invasive Diagnostics:
    Focuses on the development of non-invasive techniques for cancer diagnosis and monitoring, including circulating tumor DNA (ctDNA), exosomes, and other extracellular vesicles as potential biomarkers.
  5. Clinical Applications and Therapeutics:
    Discusses the clinical implications of biomarkers in guiding treatment decisions, predicting patient outcomes, and personalizing therapy, particularly in the context of targeted therapies and immunotherapies.
The journal "Biomarker Research" is actively addressing emerging themes that reflect the current trends in cancer biomarker research. These themes are indicative of the evolving landscape and the increasing complexity of cancer biology.
  1. Single-Cell and Spatial Transcriptomics:
    A significant trend towards utilizing single-cell technologies and spatial transcriptomics to understand tumor heterogeneity and the immune microenvironment, providing insights into cellular interactions and therapeutic responses.
  2. Metabolic Biomarkers and Metabolic Reprogramming:
    Emerging focus on the role of metabolism in cancer progression and therapy resistance, with studies exploring metabolic reprogramming as a potential therapeutic target.
  3. Artificial Intelligence and Machine Learning in Biomarker Discovery:
    The integration of AI and machine learning techniques for analyzing large datasets to discover novel biomarkers and improve diagnostic accuracy is gaining traction.
  4. Liquid Biopsy Advancements:
    Increasing attention to liquid biopsies as a non-invasive method for early cancer detection and monitoring treatment responses, with a focus on ctDNA and exosomal biomarkers.
  5. Targeted Therapy and Personalized Medicine:
    A growing emphasis on the development of biomarkers that predict response to targeted therapies and immunotherapies, supporting the trend towards personalized cancer treatment.

Declining or Waning

While "Biomarker Research" continues to evolve, certain themes have shown a decline in prominence in recent publications. These waning scopes may reflect shifts in research focus or advancements in technology that have rendered some older approaches less relevant.
  1. Traditional Biomarker Discovery Techniques:
    The emphasis on classic methods for biomarker discovery, such as single-analyte assays, has decreased in favor of more sophisticated multi-omics and systems biology approaches that provide a more holistic view of cancer.
  2. Non-Specific Biomarkers:
    There is a waning interest in non-specific biomarkers that lack robust predictive or prognostic value, as the field moves towards more targeted and precise biomarker applications.
  3. Basic Mechanistic Studies:
    Research focused solely on basic mechanistic insights without translational applications is becoming less common, as the journal increasingly prioritizes studies that link basic science to clinical outcomes.

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