Cancer Cohorts, Sample and Data Quality, and Future Opportunities
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".
Deadline for manuscript submissions: 10 June 2025 | Viewed by 181
Special Issue Editors
Interests: pathology and laboratory medicine; cancer; translational medicine; global health and collaboration; data integration in healthcare
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to a Special Issue of the Journal of Personalized Medicine, titled "Cancer Cohorts, Sample and Data Quality, and Future Opportunities". This Special Issue aims to explore the critical aspects of cancer research related to cohort design, the integrity of biological samples, and data quality—all of which are foundational for advances in precision oncology.
High-quality cancer cohorts and reliable biological samples are essential for developing personalized treatment strategies. The success of these efforts hinges on the careful collection, preservation, and analysis of clinical as well as molecular data. Advances in genomic, transcriptomic, and proteomic technologies offer unprecedented opportunities to identify biomarkers and develop targeted therapies; however, the increasing complexity of datasets and the necessity for standardized sample processing highlight the challenges that must be addressed to ensure data reliability and reproducibility across studies.
This Special Issue will focus on the following:
- Innovative approaches for constructing cancer cohorts that maximize clinical and biological relevance.
- Best practices for ensuring the quality of biospecimens and data integrity in cancer research.
- Cutting-edge technologies and methodologies for data collection, storage, and analysis that can enhance cohort utility.
- Opportunities for improving cancer cohort designs to better capture population diversity, disease heterogeneity, and long-term outcomes.
We seek contributions that present novel insights into cohort selection, biosample handling, and data quality control. Papers addressing new technologies for high-throughput data collection, data integration, and cohort-based studies that could inform future cancer research directions are especially encouraged.
We invite original research articles, comprehensive reviews, and other types that cover, but are not limited to, the following topics:
- Cohort design and management for cancer studies.
- Impact of biospecimen quality on research outcomes.
- Data quality and reproducibility in cancer research.
- Novel data management and analytical strategies.
- Integration of multi-omics data within cancer cohorts.
- Ethical, legal, and social implications of cancer cohort studies.
- Future opportunities for personalized medicine in cancer using large-scale cohorts.
We look forward to your contributions, which we believe will significantly advance the field of personalized cancer medicine.
Dr. Karine Sargsyan
Dr. Anna Michalska-Falkowska
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- cancer cohorts
- cohort design
- biospecimen integrity
- data quality and management
- data reproducibility
- multi-omics integration
- population diversity in cancer studies
- longitudinal cancer studies
- precision oncology
- biomarker discovery
- ethical considerations in cancer research
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