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Topic Information

Dear Colleagues,

The identifications of new diagnostic, prognostic, and predictive patient-specific biomarkers is one of the main objectives of cancer research. Against this backdrop, it has become clear that the development of personalized therapeutic protocols requires synergistic, transdisciplinary competencies. Currently, novel approved therapies rarely consider both the interindividual variability and the aptitude of cancer cells to undergo those genetic and molecular adaptation involved in the drug resistance phenomenon. In spite of recent and promising biomedical and biomarker discoveries, individually tailored medical care is still far from a reality, and molecules which are output by preclinical trials are very rarely translatable to evaluation for the diagnostic or therapeutical potential. The discrepancy between experimental data on new anticancer molecules and the opportunity to actually employ them in both diagnosis and therapy is due to multiple factors such as biological differences between human diseases and animal models, inconsistence of experimental plans, and/or incorrect interpretation of experimental results. In view of the above, it appears evident that working toward personalized medicine in oncology requires the synergic combination of several disciplines, such as nuclear medicine and anatomic pathology, which represent two complementary approaches to the diagnosis, prognosis, and evaluation of therapeutic response. Starting from these considerations, the focus of this Special Issue is publishing the latest discoveries and bringing together researchers and clinicians involved in both basic and translational cancer research in which diagnostic imaging (i.e., nuclear medicine and radiology) and pathology (i.e., classical and molecular pathology) disciplines work together to discover new diagnostic, prognostic, and predictive biomarkers. Topics will include (but are not limited to):

  • Identification of new imaging biomarkers;
  • Identification of new in situ and molecular biomarkers;
  • In vitro and in vivo models;
  • Molecular targets for anticancer therapy;
  • New therapeutic and theragnostic perspectives;

Dr. Manuel Scimeca
Dr. Nicola Fusco
Dr. Rita Bonfiglio
Prof. Dr. Alessandro Mauriello
Topic Editors

 

Keywords

  • cancer
  • imaging
  • pathology
  • molecular imaging
  • molecular pathology
  • theragnostic
  • biomarkers

Participating Journals

Biomedicines
Open Access
15,664 Articles
Launched in 2013
3.9Impact Factor
6.8CiteScore
17 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Diagnostics
Open Access
17,097 Articles
Launched in 2011
3.3Impact Factor
5.9CiteScore
21 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
International Journal of Molecular Sciences
Open Access
106,111 Articles
Launched in 2000
4.9Impact Factor
9.0CiteScore
20 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Journal of Clinical Medicine
Open Access
45,568 Articles
Launched in 2012
2.9Impact Factor
5.2CiteScore
18 DaysMedian Time to First Decision
Q1Highest JCR Category Ranking
Journal of Molecular Pathology
Open Access
161 Articles
Launched in 2020
1.1Impact Factor
2.3CiteScore
28 DaysMedian Time to First Decision
Q3Highest JCR Category Ranking

Published Papers