BioMed Research International

Cancer Diagnostic and Predictive Biomarkers 2018


Publishing date
01 Aug 2018
Status
Published
Submission deadline
23 Mar 2018

1Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy

2Oregon Health & Science University, Oregon, USA

3Centro Riferimento Oncologico, Aviano, Italy

4Università della Campania “Luigi Vanvitelli”, Naples, Italy


Cancer Diagnostic and Predictive Biomarkers 2018

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 which should be very successful and attract the entire scientific community.

Potential topics include but are not limited to the following:

  • 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 2019
  • - Article ID 3879015
  • - Editorial

Cancer Diagnostic and Predictive Biomarkers 2018

Franco M. Buonaguro | Patrizia Caposio | ... | Renato Franco
  • Special Issue
  • - Volume 2018
  • - Article ID 4307207
  • - Research Article

Effect of Neoadjuvant Hormone Therapy on Resection Margin and Survival Prognoses in Locally Advanced Prostate Cancer after Prostatectomy Using Propensity-Score Matching

Sung Han Kim | Eun Young Park | ... | Kang Hyun Lee
  • Special Issue
  • - Volume 2018
  • - Article ID 6728128
  • - Research Article

Gene Expression Profile Signature of Aggressive Waldenström Macroglobulinemia with Chromosome 6q Deletion

Naohiro Sekiguchi | Junko Nomoto | ... | Yukio Kobayashi
  • Special Issue
  • - Volume 2018
  • - Article ID 2594076
  • - Research Article

A Bioinformatic Profile of Gene Expression of Colorectal Carcinoma Derived Organoids

Peng A | Xinyi Xu | ... | Jing Yang
  • Special Issue
  • - Volume 2018
  • - Article ID 5208964
  • - Research Article

Efficient Synthesis of Glutamate Peptide-Estradiol Conjugate for Imaging Estrogen Receptor-Positive Diseases

Ming-Chi Shih | Sergio Daniel Simon | ... | David J. Yang
  • Special Issue
  • - Volume 2018
  • - Article ID 6942131
  • - Research Article

CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow

Alessandro Bevilacqua | Giampaolo Gavelli | ... | Domenico Barone
  • Special Issue
  • - Volume 2018
  • - Article ID 1095459
  • - Review Article

PAX3: A Molecule with Oncogenic or Tumor Suppressor Function Is Involved in Cancer

Ashok Arasu | Sengottuvelan Murugan | ... | Gilles J. Guillemin
  • Special Issue
  • - Volume 2018
  • - Article ID 4848652
  • - Research Article

Rectal Cancer: Redox State of Venous Blood and Tissues of Blood Vessels from Electron Paramagnetic Resonance and Its Correlation with the Five-Year Survival

A. P. Burlaka | A. V. Vovk | ... | S. N. Lukin
  • Special Issue
  • - Volume 2018
  • - Article ID 3724393
  • - Research Article

Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer

Dong Myung Yeo | Soon Nam Oh | ... | Seung Eun Jung
  • Special Issue
  • - Volume 2018
  • - Article ID 9416515
  • - Research Article

Bioinformatics Analysis Reveals Most Prominent Gene Candidates to Distinguish Colorectal Adenoma from Adenocarcinoma

Nina Hauptman | Emanuela Boštjančič | ... | Nina Zidar
BioMed Research International
 Journal metrics
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Acceptance rate8%
Submission to final decision110 days
Acceptance to publication24 days
CiteScore5.300
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Impact Factor-
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