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How Should Biobanks Collect Biosamples for Clinical Application? A 20-year Biomarker-related Publication and Patent Trend Analysis
Jae-Eun Lee
Osong Public Health Res Perspect. 2018;9(3):105-111.   Published online June 30, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.3.04
  • 4,711 View
  • 110 Download
  • 4 Crossref
AbstractAbstract PDF
Objectives

This study was designed to analyze biomarker-related publications and patent trends which biobanks could consider in planning biosample collections for biomarker research.

Methods

Publications and patents containing the term “biomarker” in the title published between 1998 to 2017 were retrieved using Scopus database and Google Patents search engine.

Results

Over the last 20 years there has been a steady increase in biomarker-related publications and patents; however this has slowed for patents over the last few years. Publications in 2017 that contained blood, serum, and plasma search terms in the abstract accounted for 50%, and serum as a search term in the title and abstract was more numerous than those containing blood, plasma, tissue, or urine. Blood-related patents were the most common patent in the last 10 years, and accounted for 110 patents in 2017. Biomarker-related publications since 2010 containing RNA and protein search terms in the title and abstract, were more numerous than those containing DNA and metabolite search terms. More than 27% of biomarker-related publications in 2017 and 21% of biomarker-related patents were associated with cancer.

Conclusion

The results of this study will help biobanks establish a biosample collection strategy for clinical application.

Citations

Citations to this article as recorded by  
  • Nanodiamond Solid-Phase Extraction and Triton X-114 Cloud Point Separation for Robust Fractionation and Shotgun Proteomics Analysis of the Human Serum Proteome
    Hai Lam Khuong, Chein-Hung Chen, Jung-Lee Lin, Trong-Nghia Le, Thi Hue Pham, Thi Bich Thao Le, Xuan Canh Nguyen, Van Chi Phan, Hoang Ha Chu, Wesley Wei-Wen Hsiao, Thi Minh Phuong Nguyen, Dinh Minh Pham
    Journal of Proteome Research.2022; 21(1): 67.     CrossRef
  • Sampling strategies to evaluate the prognostic value of a new biomarker on a time-to-event end-point
    Francesca Graziano, Maria Grazia Valsecchi, Paola Rebora
    BMC Medical Research Methodology.2021;[Epub]     CrossRef
  • MicroRNA-181b Serves as a Circulating Biomarker and Regulates Inflammation in Heart Failure
    Hongxiao Yang, Lina Shan, Yunan Gao, Lin Li, Guifen Xu, Bin Wang, Xiaoxue Yin, Chengfang Gao, Jiaren Liu, Wei Yang, Gaetano Isola
    Disease Markers.2021; 2021: 1.     CrossRef
  • Enhancing Cooperation Between Academic Biobanks and Biomedical Industry: Better Mutual Understanding and New Collaborative Models Are Needed
    Daniel Simeon-Dubach, Michael H. Roehrl, Paul Hofman, Pascal Puchois
    Biopreservation and Biobanking.2020; 18(2): 144.     CrossRef
Comparative Analysis of the Trends in Medical Utilization of Cancer Inpatients in Korea
Hyun-Ju Lee, Sung-Soo Kim
Osong Public Health Res Perspect. 2017;8(5):342-350.   Published online October 31, 2017
DOI: https://doi.org/10.24171/j.phrp.2017.8.5.08
  • 3,371 View
  • 32 Download
AbstractAbstract PDF
Objectives

Cancer has attracted worldwide attention. The incidence and prevalence are increasing, and it is the main cause of death. The purpose of this study was to identify the characteristics of hospitalized cancer patients.

Methods

This study is a secondary data study using the Korean National Hospital Discharge In-depth Injury Survey Data conducted annually by the Korea Centers for Disease Control and Prevention. Using these data, we extracted inpatients who principal diagnosis is cancer for nine years from 2005 to 2013.

Results

According to the analysis, the annual trend of cancer inpatients is steadily increasing. In 2025, it is expected to increase to about 670,000 inpatients. A cancer diagnosis created a change in medical utilization depending on the characteristics of patients and hospital. Men are more at risk of cancer than women. The number of hospital beds and hospital days were inversely proportional to cancer inpatients. There was also a difference in the equity of medical utilization by region. Other cancer management policies should be based on sex.

Conclusion

Populations between the ages of 45 and 64 years should be a priority in cancer policy. Because of the long-term hospitalization of patients with death as the outcome, a terminal cancer patient care facility is needed. These conclusions can provide a basis for various health policies.


PHRP : Osong Public Health and Research Perspectives