Cancer Biomarkers

Scope & Guideline

Fostering Collaboration in Cancer Biomarker Innovation.

Introduction

Explore the comprehensive scope of Cancer Biomarkers through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Cancer Biomarkers in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1574-0153
PublisherIOS PRESS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 2005 to 2024
AbbreviationCANCER BIOMARK / Cancer Biomark.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS

Aims and Scopes

Cancer Biomarkers focuses on the exploration and identification of biomarkers that can aid in the diagnosis, prognosis, and treatment of various cancers. The journal emphasizes the integration of molecular biology, genomics, and bioinformatics to discover new potential biomarkers and therapeutic targets.
  1. Biomarker Discovery and Validation:
    The journal extensively publishes research aimed at discovering novel biomarkers that can be used for early detection, diagnosis, and prognosis of different cancer types.
  2. Molecular Mechanisms of Cancer:
    Research articles often focus on elucidating the molecular pathways and mechanisms through which identified biomarkers influence cancer progression and response to therapies.
  3. Genomic and Epigenomic Studies:
    A significant focus is placed on genomic and epigenomic alterations in cancer, including DNA methylation patterns and gene expression profiles that correlate with clinical outcomes.
  4. Machine Learning and Bioinformatics:
    The journal supports the application of machine learning and bioinformatics tools to analyze complex datasets and identify biomarkers with clinical relevance.
  5. Immune Biomarkers and Microenvironment:
    Research exploring the role of immune-related biomarkers and the tumor microenvironment in cancer progression and treatment response is a key area of focus.
Recent publications in Cancer Biomarkers indicate a dynamic evolution in research themes, with several emerging areas gaining traction. These trends reflect advancements in technology and a growing understanding of cancer biology, leading to innovative approaches in biomarker research.
  1. Long Non-Coding RNAs (lncRNAs):
    Research on lncRNAs is rapidly increasing, highlighting their potential roles as biomarkers for various cancers, particularly in regulating gene expression and cancer progression.
  2. Immune Checkpoint Inhibitors:
    The exploration of biomarkers related to immune checkpoint inhibitors is trending, reflecting the rise of immunotherapy as a cornerstone in cancer treatment.
  3. Multi-Omics Approaches:
    There is a growing trend towards multi-omics studies, integrating genomic, transcriptomic, proteomic, and metabolomic data to provide comprehensive insights into cancer biology and biomarker discovery.
  4. Artificial Intelligence in Biomarker Discovery:
    The use of AI and machine learning algorithms to analyze complex datasets and improve biomarker identification and validation is an emerging theme, indicating a shift towards data-driven research methodologies.
  5. Tumor Microenvironment Studies:
    Research focusing on the tumor microenvironment and its impact on cancer progression and therapy response is gaining prominence, emphasizing the interplay between cancer cells and their surrounding environment.

Declining or Waning

While Cancer Biomarkers continues to thrive in various research areas, certain themes have shown a noticeable decline in publication frequency over recent years. This waning interest may reflect shifts in research priorities or advancements in technology that have rendered previous approaches less prominent.
  1. Traditional Tumor Markers:
    Research focusing on conventional tumor markers such as CEA or CA 19-9 appears to be declining as novel biomarkers and more sophisticated molecular techniques gain prominence.
  2. Single Biomarker Studies:
    There has been a shift away from studies focusing solely on single biomarkers, as the field moves towards multi-biomarker panels and integrative approaches that consider the complexity of cancer biology.
  3. Invasive Diagnostic Techniques:
    Research on invasive diagnostic methods is waning in favor of non-invasive liquid biopsy techniques that utilize circulating biomarkers for cancer detection and monitoring.
  4. Chemotherapy Response Predictors:
    The exploration of predictive biomarkers specifically for chemotherapy response has decreased, likely due to a broader focus on immunotherapy and targeted therapies.
  5. Non-specific Biomarkers:
    Interest in non-specific biomarkers that lack clear associations with particular cancer types or outcomes has diminished as the field emphasizes more precise and context-specific biomarker identification.

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