An appraisal of pivotal evaluation designs in validating noninvasive biomarkers for head and neck cancer detection

Adeoye, John; Wan, Chi Ching Joan; Thomson, Peter

doi:10.1080/0284186x.2020.1820077

Cited by 5 publications

(7 citation statements)

References 9 publications

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“…the ProBE approach which bears potential to improve the quality of diagnostic, predictive, or predictive biomarker studies (Adeoye et al, 2020a(Adeoye et al, , 2020b. Specifically, this study design involves the collection of non-invasive specimens from a predefined uniform patient cohort before undertaking confirmatory diagnostic procedures such as tissue biopsy and histology which improve patient selection.…”

Section: Discussionmentioning

confidence: 99%

“…First, we observed high bias concerns in the studies included for summary measures estimation (Pepe et al., 2008). Nonetheless, the authors recommend that future studies utilize scientific designs like the ProBE approach which bears potential to improve the quality of diagnostic, predictive, or predictive biomarker studies (Adeoye et al., 2020a, 2020b). Specifically, this study design involves the collection of non‐invasive specimens from a predefined uniform patient cohort before undertaking confirmatory diagnostic procedures such as tissue biopsy and histology which improve patient selection.…”

Section: Discussionmentioning

confidence: 99%

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Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta‐analysis

et al. 2021

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Recently, investigations into the optimization of non-invasive specimens for the detection, prognostication, and surveillance of oral cancer patients have garnered attention globally. This surge has witnessed the proffer of biological markers present in serum, plasma, oral swabs, saliva, urine, and external breath for disease diagnosis as these methods are presumed to incorporate peculiar molecular signatures across disparate tumor regions in comparison with tissue-based markers (Adeoye et al., 2020;Mattox et al., 2019). With saliva and oral cytologic swabs seen as more promising specimens for translation to contemporary clinical practice, several DNA, RNA, protein, metabolite, and microbiome markers that are specific or preferential for oral cancer detection have been identified, albeit transcriptomic markers represent the most consensually validated tumor indicators till date with assays that are being commercialized in some regions already (Adeoye, Brennan, & Thomson, 2020;

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta‐analysis

et al. 2021

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“…This scoping review to determine the range and nature of biomarker validation studies using the prospective sampling and blinded evaluation modality, to identify their methodological lapses, and to summarize the diagnostic efficacy of biomarkers using these methods was conducted according to a preliminary report and the guidelines of the Preferred Reporting Items for Systematic reviews and Meta-analyses extension for scoping reviews (PRISMA-ScR). 13,14…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, experimental assays are required to be carried out randomly by investigators blinded to the outcome data following recruitment. Thus, offering the obtainment of diagnostic accuracy in a testing scenario that mimics the real‐world application of these markers and their performances may not be fully realized until applied in this fashion 13 …”

Section: Introductionmentioning

confidence: 99%

“…Thus, offering the obtainment of diagnostic accuracy in a testing scenario that mimics the real-world application of these markers and their performances may not be fully realized until applied in this fashion. 13 With the surge in biomarker validation endeavors alluding to the use of the prospective designs and as efforts heighten to validate biomarkers for diagnosing carcinomas of the head and neck, a formal appraisal of the current status of direct or near-alternative application of these mock clinical testing designs is now required. 2 Therefore, this scoping review aims to evaluate the use of the prospective sampling and blinded evaluation in nonviral head and neck carcinoma diagnostic biomarker validation based on studies conducted within the last decade.…”

Section: Introductionmentioning

confidence: 99%

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Mock clinical testing in the validation of fluid‐phase biomarkers for head and neck carcinoma diagnosis: Scoping review

2020

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This review sought to determine the range and nature of prospective-sampling and blinding methods for validating nonviral biofluid markers diagnostic of head and neck carcinomas. Electronic database searching was conducted to identify studies published in English from January 1, 2009 to August 1, 2020. Sixteen studies from 17 articles published between 2011 and 2020 were included in this review. We found that about 3 out of 100 studies utilized at least one of the mock testing approaches for biomarker validation. Protein, mRNA, and metabolomic markers also represented the only groups whose validation has been attempted using these methods. Furthermore, studies that utilized both methods were found to have lower bias concerns on the quality assessment of diagnostic accuracy studies (QUADAS-2) tool. Overall, there is a need to include these protocols in research endeavours verifying diagnostic biomarkers for head and neck carcinomas following the preliminary establishment of their classification accuracy.

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Artificial intelligence in salivary biomarker discovery and validation for oral diseases

Adeoye

2023

Oral Diseases

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Salivary biomarkers can improve the efficacy, efficiency, and timeliness of oral and maxillofacial disease diagnosis and monitoring. Oral and maxillofacial conditions in which salivary biomarkers have been utilized for disease‐related outcomes include periodontal diseases, dental caries, oral cancer, temporomandibular joint dysfunction, and salivary gland diseases. However, given the equivocal accuracy of salivary biomarkers during validation, incorporating contemporary analytical techniques for biomarker selection and operationalization from the abundant multi‐omics data available may help improve biomarker performance. Artificial intelligence represents one such advanced approach that may optimize the potential of salivary biomarkers to diagnose and manage oral and maxillofacial diseases. Therefore, this review summarized the role and current application of techniques based on artificial intelligence for salivary biomarker discovery and validation in oral and maxillofacial diseases.

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An appraisal of pivotal evaluation designs in validating noninvasive biomarkers for head and neck cancer detection

Cited by 5 publications

References 9 publications

Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta‐analysis

Efficacy of hypermethylated DNA biomarkers in saliva and oral swabs for oral cancer diagnosis: Systematic review and meta‐analysis

Mock clinical testing in the validation of fluid‐phase biomarkers for head and neck carcinoma diagnosis: Scoping review

Artificial intelligence in salivary biomarker discovery and validation for oral diseases

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