Gene detection: An essential process to precision medicine

Zhang, Ye; Liu, Xiaohui; Liu, Meihui; Tang, Gao; Huang, Yuzhao; Liang, Yi; Zeng, Wenbin

doi:10.1016/j.bios.2017.08.033

Cited by 18 publications

(7 citation statements)

References 184 publications

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“…Genetic sequencing offers a new approach to precision medicine. Moreover, current targeted cancer therapy has essentially been established on the results of studies about gene detection [ 27 – 29 ]. We therefore attempted to construct a gene expression signature for prognostic assessment.…”

Section: Discussionmentioning

confidence: 99%

Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer

Zhang

Yin

et al. 2020

BioMed Research International

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Pancreatic cancer remains a lethal type of cancer with poor prognosis. Molecular classification enables in-depth, precise prognostic assessment. This study is aimed at identifying a robust and simple mRNA signature to predict the overall survival (OS) of pancreatic cancer (PC) patients. Differentially expressed genes (DEGs) between 45 paired pancreatic tumor samples and adjacent healthy tissues were selected. For risk determination, a LASSO Cox regression model with DEGs was used to generate the OS-associated risk score formula for the training cohort containing 177 PC patients. Another five independent datasets were used as the testing cohort to determine the predictive efficiency for further validation. In total, 441 DEGs were selected after considering the enrichment of classical pathways, such as EMT, cell cycle, cell adhesion, and PI3K-AKT. A five-gene signature for risk discrimination was established with high efficacy using LASSO Cox regression in the training group. External validation showed that patients identified by the gene expression signature to be in the high-risk group had poorer prognosis compared with the low-risk patients. Further investigation identified the differential epigenetic modification patterns of the five genes, which indicated their roles in tumor progression and their effect on therapy. In conclusion, we constructed a robust five-gene expression signature that could predict the OS of PC patients, offering a new insight for risk discrimination in daily clinical practice.

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Section: Discussionmentioning

confidence: 99%

Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer

Zhang

Yin

et al. 2020

BioMed Research International

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“…This video has not only helped us in capturing the attention of our learners but also exposed them to a succinct overview of pharmacogenomics. As gene detection is an essential step in precision medicine [22], a series of experimentations involving nucleic acid isolation from clinical specimen, nucleic acid amplification via polymerase chain reaction, and restriction enzyme mapping activities is also utilised for low-cost academic exercises. To avoid confounding medical issues, the status of lactase persistence [23] is chosen for case discussion in laboratory-based practical sessions.…”

Section: Learning Outcome Learning Activities Assessment Methodsmentioning

confidence: 99%

“…Pedagogically, such activity intends to engage students' linguistics as well as intrapersonal and interpersonal intelligences [25]. While operational cost is a discerning factor in running practical sessions, the curriculum has endeavoured to include real time polymerase chain reaction, single nucleotide polymorphism profiling, and next generation sequencing technology [22] for authentic learning experiences within the research facilities in polytechnic premises. The selection of these molecular techniques concurs relatively well with the survey results reported by the Medical Laboratory Scientist Curriculum Task Force of the Association for Molecular Pathology [16].…”

Section: Learning Outcome Learning Activities Assessment Methodsmentioning

confidence: 99%

Applying ADDIE Model to Ideate Precision Medicine in a Polytechnic Biomedical Science Programme

Woo

2018

Journal of Biomedical Education

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As a biomedical science programme at polytechnic aims to provide a sound foundation in the biological sciences, the onus is on the curriculum developer to see that the relevance and currency of the programme content are justifiably challenging and work-ready. In other words, the programme needs to prepare its students adequately well for the intended industry. Since the inception of Human Genome Project, the molecular paradigm has been evolving. A biomedical science student who is oblivious to the emerging trend in molecular techniques is very likely to be hearkened back to the yesteryears of technology and bewildered as precision medicine is becoming increasingly important. Using the ADDIE model as the instructional design model, this paper describes the roadmap for creating a molecular techniques module within a diploma programme that percolates with the concept of precision medicine.

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“…To develop reliable wearable biosensing systems for precision detection is a long-standing challenge. Efforts to improve precision include the effort to reach a higher sensitivity and selectivity of biosensors, to build a more stable interface between the sensor and skin, to control contamination, to develop reliable signal communication technology, and to explore the relevance of analyte concentrations between biofluids and blood . Nanomaterial-based biosensors have drawn attention due to significant advantages in terms of simplicity and sensitivity .…”

Section: Sweat-based Biosensing Technologiesmentioning

confidence: 99%

Advances in Sweat Wearables: Sample Extraction, Real-Time Biosensing, and Flexible Platforms

Qiao

Benzigar

Subramony

et al. 2020

ACS Appl. Mater. Interfaces

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Wearable biosensors for sweat-based analysis are gaining wide attention due to their potential use in personal health monitoring. Flexible wearable devices enable sweat analysis at the molecular level, facilitating noninvasive monitoring of physiological states via real-time monitoring of chemical biomarkers. Advances in sweat extraction technology, real-time biosensors, stretchable materials, device integration, and wireless digital technologies have led to the development of wearable sweat-biosensing devices that are light, flexible, comfortable, aesthetic, affordable, and informative. Herein, we summarize recent advances of sweat wearables from the aspects of sweat extraction, fabrication of stretchable biomaterials, and design of biosensing modules to enable continuous biochemical monitoring, which are essential for a biosensing device. Key chemical components of sweat, sweat capture methodologies, and considerations of flexible substrates for integrating real-time biosensors with electronics to bring innovations in the art of wearables are elaborated. The strategies and challenges involved in improving the wearable biosensing performance and the perspectives for designing sweat-based wearable biosensing devices are discussed.

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Gene detection: An essential process to precision medicine

Cited by 18 publications

References 184 publications

Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer

Establishment and Investigation of a Multiple Gene Expression Signature to Predict Long-Term Survival in Pancreatic Cancer

Applying ADDIE Model to Ideate Precision Medicine in a Polytechnic Biomedical Science Programme

Advances in Sweat Wearables: Sample Extraction, Real-Time Biosensing, and Flexible Platforms

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