BioMed Research International

Cancer Diagnostic and Predictive Biomarkers 2016


Publishing date
30 Dec 2016
Status
Published
Submission deadline
12 Aug 2016

1Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy

2University of Maryland, Baltimore, USA

3Institut Albert Bonniot, Grenoble, France

4Second University of Naples, Naples, Italy

5International Agency for Research on Cancer, Lyon, France


Cancer Diagnostic and Predictive Biomarkers 2016

Description

The omics revolution along with the next generation sequencing has recently opened the possibility of identifying molecular changes and metabolic pathways specific for each cancer with the resulting possibility of further molecular subclassification of each cancer histotype and identification of a more reliable prognosis and appropriate treatment. A further result is the reduction of overtreatment of those with higher responsivity and better prognosis. Furthermore, such studies do have the possibility of identifying specific cancer targets, with higher effectiveness of chemotherapy and much lower general toxicity. The whole field is in a current turmoil, and a specific issue focused on the clinical validation of newly identified biomarkers, able to bridge molecular mechanisms with clinical diagnosis and therapeutic responsivity, should be very successful and attract the entire scientific community.

Potential topics include, but are not limited to:

  • Biomarkers in pathogen-related cancers
  • Biomarkers of cancer progression
  • Inflammation-related biomarkers in cancer diagnosis and progression
  • miRNA as a biomarker of cancer progression and therapeutic targets
  • Epigenetic biomarkers in cancer immunology
  • Tissue cancer biomarkers for targeted therapy
  • Plasma/serum markers for clinical diagnosis and follow-up

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 7362721
  • - Editorial

Cancer Diagnostic and Predictive Biomarkers 2016

Franco M. Buonaguro | C. David Pauza | ... | Massimo Tommasino
  • Special Issue
  • - Volume 2017
  • - Article ID 5986129
  • - Review Article

Plasma Circulating Tumor DNA Levels for the Monitoring of Melanoma Patients: Landscape of Available Technologies and Clinical Applications

Benoit Busser | Julien Lupo | ... | Julie Charles
  • Special Issue
  • - Volume 2017
  • - Article ID 3047802
  • - Research Article

Prognostic Significance of Neutrophil to Lymphocyte Ratio, Lymphocyte to Monocyte Ratio, and Platelet to Lymphocyte Ratio in Patients with Nasopharyngeal Carcinoma

Aiying Lu | Haifeng Li | ... | Yonglin Cai
  • Special Issue
  • - Volume 2017
  • - Article ID 6097647
  • - Research Article

Hidden IgG Antibodies to the Tumor-Associated Thomsen-Friedenreich Antigen in Gastric Cancer Patients: Lectin Reactivity, Avidity, and Clinical Relevance

Oleg Kurtenkov | Kersti Klaamas
  • Special Issue
  • - Volume 2017
  • - Article ID 8013575
  • - Review Article

Diagnostic and Therapeutic Biomarkers in Glioblastoma: Current Status and Future Perspectives

Wojciech Szopa | Thomas A. Burley | ... | Wojciech Kaspera
  • Special Issue
  • - Volume 2017
  • - Article ID 6501385
  • - Research Article

MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes

Wei Jiang | Wenjue Zhang | ... | Luhua Wang
  • Special Issue
  • - Volume 2017
  • - Article ID 9215930
  • - Research Article

Primary Tumor Characteristics Are Important Prognostic Factors for Sorafenib-Treated Patients with Metastatic Renal Cell Carcinoma: A Retrospective Multicenter Study

Sung Han Kim | Sohee Kim | ... | Jinsoo Chung
  • Special Issue
  • - Volume 2017
  • - Article ID 8494286
  • - Research Article

Expression of Cadherin-17 Promotes Metastasis in a Highly Bone Marrow Metastatic Murine Breast Cancer Model

Tomoko Okada | Atsushi Kurabayashi | ... | Mutsuo Furihata
  • Special Issue
  • - Volume 2017
  • - Article ID 2563910
  • - Research Article

Interaction of MRE11 and Clinicopathologic Characteristics in Recurrence of Breast Cancer: Individual and Cumulated Receiver Operating Characteristic Analyses

Cheng-Hong Yang | Sin-Hua Moi | ... | Hsueh-Wei Chang
  • Special Issue
  • - Volume 2016
  • - Article ID 8687575
  • - Research Article

Basic Parameters of Blood Count as Prognostic Factors for Renal Cell Carcinoma

Grzegorz Prokopowicz | Marcin Życzkowski | ... | Andrzej Paradysz
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision67 days
Acceptance to publication30 days
CiteScore3.600
Impact Factor2.276
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