A Survey of the Current Situation of Clinical Biobanks in China

Toward Professionalism of Biobanking in China: A Survey on Working Status, Career Development, Challenges, and Prospects of Biobankers

Biobanking has become an increasingly important activity to provide resources for medical research support. In China, establishing and maintaining a biobank have been the latest trend in a research hospital. However, biobanking is still an emerging young field in terms of professionalization and professionalism. The development of professionalization in biobanking faces many challenges involving the development of skills, identities, norms, and values associated with becoming part of a professional group. Biobanking professionals (i.e., biobankers) are the most important factor and driving force toward professionalization in biobanking. To better understand biobankers' performance, needs, concerns, and career development, we conducted two comprehensive surveys among biobankers in China in 2019 and 2021, respectively. The questionnaires covered four major areas: (1) basic information and the status of biobankers; (2) job performance evaluation, salary, recognitions, rewards, and so on; (3) occupational training and career development; and (4) challenges and prospects and so on. The surveys revealed that most biobankers in China have positive working attitudes and a high desire for their future career development, but due to the uncertain evaluation mechanisms and promotion routes, etc., the participants were more optimistic about biobanking development compared to the biobanker's career development (77.0% and 57.4% respectively in 2021, p < 0.05). The biobankers expected more training opportunities and salary packages. Because biobankers are an integral factor and driving force to ensure the successful biobanking operation and advancement, the survey data analysis revealed interesting findings and references for the development of professionalism in biobanking. This survey will provide first-hand information to governments, biobank management teams, and the general public to further support, promote, or optimize (1) biobanking operation and sustainability, (2) biobankers' career development, (3) biobank management and quality control, and (4) strategic plans and approaches to establish a higher quality professional team of biobankers.

Public awareness and attitudes toward biobank and sample donation: A regional Chinese survey

Background

The biobank is an extraordinary aid to research and scientific progress. Public involvement in biobanks, necessary for their development, is limited due to inadequate knowledge of biobanking and concerns about sample donation. This study explores the effectiveness of different publicity methods in improving participants' willingness to donate, and assesses public motivations and concerns. It aims to identify an efficient method of improving participants' awareness of biobanking and promoting sample donation.

Methods

A structured 20-item questionnaire was formulated to evaluate participants' knowledge of and attitudes toward biobanks and sample donation. In total, 1,500 questionnaires were disseminated to three groups of 500 participants who received, respectively, picture-based promotional material, text-based promotional material, or who attended a biobank-related lecture. Of these, 945 completed questionnaires were received. All the participants completed the questionnaires twice, before and after the corresponding publicity education.

Results

After each of the three methods of publicity based on text, pictures and a lecture, respondents' willingness to donate samples was significantly increased (P < 0.001), the lecture being more effective than the other two methods (P = 0.001). Participants with a medical background were more willing to donate biospecimens after publicity than those without medical backgrounds (P < 0.005) but had common motivations for donation including altruism and aiding medical research. The main concern hindering respondents' willingness to donate was the security of personal information.

Conclusion

Different types of biobank-related publicity based on text material, pictorial material and a lecture all improved respondents' willingness to donate and reduced concerns regarding sample donation. Medical background was a critical factor affecting attitudes toward sample donation after publicity. The results of this study suggest strategies that may popularize biobanks and enhance sample donation, further promoting the development of biobanks.

Training in biobanking in the context of modern medical education

The development of biomedical research based on predictive, preventive and personalized medicine has served as a challenge to the formation and rapid development of a novel interdisciplinary scientific area  — biobanking, the main goal of which is the long-term proper storage of biological samples and related data for use in scientific and clinical research. Qualified personnel, along with the creation and development of biobank infrastructure, provide high-quality results required for biomedicine. Education and training must reflect the changing scope of knowledge and adapt to biobanking challenges. In this regard, there is an increasing need to develop and implement educational programs for staff working in and managing biobanks, as well as researchers, doctors and students who are not familiar with this area, but plan research using bioresources. The aim of this review is to present an analysis of the main biobanking directions and training programs in the world and in Russia in order to assess the existing problems and needs.

The Scale, Collections, and Biospecimen Distribution of Grade A Tertiary Hospital Biobanks in China: A National Survey

Chinese clinical biobanks were built rapidly in grade A tertiary hospitals. However, the general information of biorepositories in China remained largely unknown. The aim of this study was to investigate the size, collections, biospecimens distribution and other characteristics of Chinese biobanks in grade A tertiary hospitals. In 2018, we launched a national survey among biobank leaders to provide a comprehensive understanding of Chinese grade A tertiary hospital biobanks. A total of 70 biobank managers or directors completed an online questionnaire to collect information about the biorepositories. Nearly 20% of biobanks stored over one million specimens, while almost one-third of biobanks stored 50-200,000 specimens. In general, plasma and serum were the specimens most commonly stored. For the use of collections, biospecimens were most commonly applied by internal clinical departments. Further analyses revealed that the large-scale biobanks were characterized by earlier establishment, more types of specimens in storage and distribution compared with small-scale biobanks. Moreover, specimens in large-scale biobanks were more commonly used for basic research (62.86% vs. 34.29%, P = 0.017) and clinical research (57.14% vs. 28.57%, P = 0.016). Large-scale biobanks also had more opportunities to cooperate with domestic research institutes (34.29% vs. 5.71%, P = 0.003). Our survey revealed diversity in collections, distribution and utilization of biospecimens among Chinese grade A tertiary hospital biobanks. Although the biobanks had relatively large collections, the underutilization of stored biospecimens and lack of sharing could hamper clinical and biological research.

The International Teaching and Practice of Cryobiology and Biobankology Course in China

In the past 10 years, clinical biobanks have experienced increasing expansion in China. Demand for systematically educated biobanking professionals is a priority for Chinese biobanks' agenda. The cryobiology and biobankology course is the first semester-long course in China, designed and developed at Central South University with international cooperation. Leading professors were from China, the United States, United Kingdom, and Canada to teach the latest version of biobanking knowledge and skills around the globe. This course is a comprehensive elective course with six specific teaching modules, which is suitable for graduate students majoring in basic medical sciences, clinical medicine, life sciences, mechanical engineering, and biomedical engineering, who would like to seek biobanking careers in the future. Participants from China, Czech Republic, Ghana, Madagascar, Tanzania, South Sudan, and Israel attended the course. Through taking this course, students can broaden their international academic horizons and cultivate the ability to learn and apply the knowledge of biology, medicine, and engineering to analyze and explain the low-temperature biology and clinical samples-based research practice. At the same time, the course enables students to realize the importance of multidisciplinary fields of biobanking and the significance of innovative precision medicine research, and further enlightens students' enthusiasm to pursue biobanking professional careers, and in the future they can proudly call themselves "biobankers."

Differentiate cavernous hemangioma from schwannoma with artificial intelligence (AI)

Background

Cavernous hemangioma and schwannoma are tumors that both occur in the orbit. Because the treatment strategies of these two tumors are different, it is necessary to distinguish them at treatment initiation. Magnetic resonance imaging (MRI) is typically used to differentiate these two tumor types; however, they present similar features in MRI images which increases the difficulty of differential diagnosis. This study aims to devise and develop an artificial intelligence framework to improve the accuracy of clinicians' diagnoses and enable more effective treatment decisions by automatically distinguishing cavernous hemangioma from schwannoma.

Methods

Material: As the study materials, we chose MRI images as the study materials that represented patients from diverse areas in China who had been referred to our center from more than 45 different hospitals. All images were initially acquired on films, which we scanned into digital versions and recut. Finally, 11,489 images of cavernous hemangioma (from 33 different hospitals) and 3,478 images of schwannoma (from 16 different hospitals) were collected. Labeling: All images were labeled using standard anatomical knowledge and pathological diagnosis. Training: Three types of models were trained in sequence (a total of 96 models), with each model including a specific improvement. The first two model groups were eye- and tumor-positioning models designed to reduce the identification scope, while the third model group consisted of classification models trained to make the final diagnosis.

Results

First, internal four-fold cross-validation processes were conducted for all the models. During the validation of the first group, the 32 eye-positioning models were able to localize the position of the eyes with an average precision of 100%. In the second group, the 28 tumor-positioning models were able to reach an average precision above 90%. Subsequently, using the third group, the accuracy of all 32 tumor classification models reached nearly 90%. Next, external validation processes of 32 tumor classification models were conducted. The results showed that the accuracy of the transverse T1-weighted contrast-enhanced sequence reached 91.13%; the accuracy of the remaining models was significantly lower compared with the ground truth.

Conclusions

The findings of this retrospective study show that an artificial intelligence framework can achieve high accuracy, sensitivity, and specificity in automated differential diagnosis between cavernous hemangioma and schwannoma in a real-world setting, which can help doctors determine appropriate treatments.

Quality Control of Preanalytical Handling of Blood Samples for Future Research: A National Survey

BACKGROUND

Assessment and control of preanalytical handling of blood samples for future research are essential to preserve integrity and assure quality of the specimens. However, investigation is limited on how quality control of preanalytical handling of blood samples is performed by biobanks.

METHODS

A questionnaire was sent to all Danish departments of clinical biochemistry, all Danish departments of clinical immunology, the Danish Health Surveillance Institution and the Danish Cancer Society. The questionnaire consisted of questions regarding preanalytical handling of samples for future research. The survey was carried out from October 2018 until the end of January 2019.

RESULTS

A total of 22 departments (78%) replied, of which 17 (77%) performed preanalytical quality control of the blood samples. This quality control consisted of patient preparation, temperature surveillance of freezers, maintenance of centrifuges, and visual inspection for hemolysis, lipemia, and sample volume. Automated sample check for hemolysis, icterus, and lipemia interferences was performed by 41% of respondents, not performed by 50% of respondents, and 9% did not answer. The majority (55%) of the participants stated that they had no local standard operating procedure for preanalytical handling of samples for research projects.

CONCLUSIONS

The preanalytical phase for blood samples obtained and preserved for future research in Denmark is highly heterogeneous, although many aspects (e.g., hemolysis, which also affects DNA analyses, metabolomics, and proteomics) seems highly relevant to document. Our findings emphasize the need to optimize and standardize best practices for the preanalytical phase for blood samples intended for use in future research projects.

Tygerberg Research Ubuntu-Inspired Community Engagement Model: Integrating Community Engagement into Genomic Biobanking

Introduction: Community engagement (CE) is an ethical imperative in research, but the knowledge base for what constitutes effective and ethically sound CE is limited. Ubuntu, as a component of responsive communitarianism where communal welfare is valued together with individual autonomy, is useful in furthering our understanding of effective CE and how it could best be achieved. Similarly, a relative solidarity model serves as a compromise between extreme individualism and extreme communalism and is more appropriate in a heterogenous African context. Approaching CE from an Ubuntu philosophical perspective in southern Africa is particularly important in genomic biobanking, given the implications for individuals, families, and communities.

Discussion: CE is often implemented in a tokenistic manner as an ancillary component of research. Understanding consent information is challenging where genomic biobanking is concerned due to scientific complexity. We started a process of CE around genomic biobanking and conducted empirical research in an attempt to develop a model to promote effective and ethically sound CE, using relative solidarity to create a nuanced application of Ubuntu. The TRUCE model is an eight-step model that uses social mapping to identify potential communities, establishes the scope of CE, and requires that communities are approached early. Co-creation strategies for CE are encouraged and co-ownership of knowledge production is emphasized. Recruiting and engaging communities at each stage of research is necessary. Evaluation and adaptation of CE strategies are included. Discussion and dissemination of results after the research is completed are encouraged.

Conclusions: There is a significant gap between the theory of CE and its authentic application to research in Africa. This Ubuntu-inspired model facilitates bridging that gap and is particularly suited to genomic biobanking. The CE model enhances and complements the consent process and should be integrated into research as a funding and regulatory requirement where applicable.