Biomarkers for Bone Tumors: Discovery from Genomics and Proteomics Studies and Their Challenges

Wan-Ibrahim, Wan Izlina; Singh, Vivek Ajit; Hashim, Onn Haji; Abdul‐Rahman, Puteri Shafinaz

doi:10.2119/molmed.2015.00183

Cited by 24 publications

(14 citation statements)

References 112 publications

(117 reference statements)

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“…The bone biopsy is a technique in which tissue or cells are removed by surgery and the outer layer of bone is analyzed under a microscope [68]. Needle biopsy and open biopsy are two different methods used for taking samples.…”

Section: Bone Biopsymentioning

confidence: 99%

Advances in Sensing Technologies for Monitoring of Bone Health

et al. 2020

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Changing lifestyle and food habits are responsible for health problems, especially those related to bone in an aging population. Poor bone health has now become a serious matter of concern for many of us. In order to avoid serious consequences, the early prediction of symptoms and diagnosis of bone diseases have become the need of the hour. From this inspiration, the evolution of different bone health monitoring techniques and measurement methods practiced by researchers and healthcare companies has been discussed. This paper focuses on various types of bone diseases along with the modeling and remodeling phenomena of bones. The evolution of various diagnosis tests for bone health monitoring has been also discussed. Various types of bone turnover markers, their assessment techniques, and recent developments for the monitoring of biochemical markers to diagnose the bone conditions are highlighted. Then, the paper focuses on the potential assessment of the recent sensing techniques (physical sensors and biosensors) that are currently available for bone health monitoring. Considering the importance of electrochemical biosensors in terms of high sensitivity and reliability, specific attention has been given to the recent development of electrochemical biosensors and significance in real-time monitoring of bone health.

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Section: Bone Biopsymentioning

confidence: 99%

Advances in Sensing Technologies for Monitoring of Bone Health

et al. 2020

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“…Small sample size as well as control samples used in the experiments that are not matched for age, sex, and race can lead to deceptive results 218 . Other important issues to be considered include, criteria for selection and inclusion of samples, strict standards for collecting and handling samples, suitability of the methodology, for the analysis of the data obtained, and, most importantly, independent validation of the identified biomarkers 219 , 220 .…”

Section: Challenges In Biomarker Implementation and Future Prospectsmentioning

confidence: 99%

Mass spectrometry-assisted gel-based proteomics in cancer biomarker discovery: approaches and application

Huang¹,

Chen²,

He³

et al. 2017

Theranostics

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There is a critical need for the discovery of novel biomarkers for early detection and targeted therapy of cancer, a major cause of deaths worldwide. In this respect, proteomic technologies, such as mass spectrometry (MS), enable the identification of pathologically significant proteins in various types of samples. MS is capable of high-throughput profiling of complex biological samples including blood, tissues, urine, milk, and cells. MS-assisted proteomics has contributed to the development of cancer biomarkers that may form the foundation for new clinical tests. It can also aid in elucidating the molecular mechanisms underlying cancer. In this review, we discuss MS principles and instrumentation as well as approaches in MS-based proteomics, which have been employed in the development of potential biomarkers. Furthermore, the challenges in validation of MS biomarkers for their use in clinical practice are also reviewed.

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“…Therefore, clarifying the molecular mechanisms underlying the occurrence and progression of OS and exploring the potential diagnostic and therapeutic targets are of great importance for the diagnosis and treatment of OS. Many biomarkers have been evaluated ( Table 1 ) ( Wan-Ibrahim et al, 2015 ), but none have been approved by the Food and Drug Administration for clinical settings ( Wan-Ibrahim et al, 2015 ). This lack may be due to research deficiencies, unacceptable heterogeneity, or absence of effective evaluation.…”

Section: Introductionmentioning

confidence: 99%

Gene signatures with predictive and prognostic survival values in human osteosarcoma

Qiu

Chen

et al. 2021

PeerJ

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Osteosarcoma is a common malignancy seen mainly in children and adolescents. The disease is characterized by poor overall prognosis and lower survival due to a lack of predictive markers. Many gene signatures with diagnostic, prognostic, and predictive values were evaluated to achieve better clinical outcomes. Two public data series, GSE21257 and UCSC Xena, were used to identify the minimum number of robust genes needed for a predictive signature to guide prognosis of patients with osteosarcoma. The lasso regression algorithm was used to analyze sequencing data from TCGA-TARGET, and methods such as Cox regression analysis, risk factor scoring, receiving operating curve, KMplot prognosis analysis, and nomogram were used to characterize the prognostic predictive power of the identified genes. Their utility was assessed using the GEO osteosarcoma dataset. Finally, the functional enrichment analysis of the identified genes was performed. A total of twenty-gene signatures were found to have a good prognostic value for predicting patient survival. Gene ontology analysis showed that the key genes related to osteosarcoma were categorized as peptide–antigen binding, clathrin-coated endocytic vesicle membrane, peptide binding, and MHC class II protein complex. The osteosarcoma related genes in these modules were significantly enriched in the processes of antigen processing and presentation, phagocytosis, cell adhesion molecules, Staphylococcus aureus infection. Twenty gene signatures were identified related to osteosarcoma, which would be helpful for predicting prognosis of patients with OS. Further, these signatures can be used to determine the subtypes of osteosarcoma.

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Biomarkers for Bone Tumors: Discovery from Genomics and Proteomics Studies and Their Challenges

Cited by 24 publications

References 112 publications

Advances in Sensing Technologies for Monitoring of Bone Health

Advances in Sensing Technologies for Monitoring of Bone Health

Mass spectrometry-assisted gel-based proteomics in cancer biomarker discovery: approaches and application

Gene signatures with predictive and prognostic survival values in human osteosarcoma

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