Kirill Kriukov, Dmitry Ivchenkov, Anna Bejanyan, Aleksandr Sarachakov, Aleksandra Kviatkovskaia, Gleb Khegai, Dominique Knipper-Davis, Amber Berlinski, Tayla Soares, Jochen Lennerz, Vladimir Kushnarev
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Morphological Bone Score as a Predictive Tool for Molecular Profiling Success.
Decalcification of bone-containing tumor samples serves to soften tissues before histologic processing. However, it can lead to nucleic acid degradation, resulting in next-generation sequencing failures that impede diagnostic solutions for patients. The Morphological Bone Score (MBS) described herein optimizes the assessment of decalcified tissue samples, consequently improving both diagnostic accuracy and cost efficiency in molecular genetic laboratories. The MBS, constructed using five key morphologic features, assigns scores from 0 to 11, reflecting low to high tissue damage and direct proportionality with nucleic acid yields per cell. The MBS threshold can be adjusted, depending on the aims of a specific analysis while balancing between sensitivity and accuracy. In our next-generation sequencing workflow, the exclusion of poor-quality samples from downstream processing using MBS led to a savings of $1500 per sample. The MBS provides a cost-effective approach for maximizing tissue utilization and optimizing downstream profiling in precision oncology because its objectivity and consistency in evaluating pathologic samples ensure reliable and reproducible outcomes. With additional verification, this tool could be implemented in computational models for converting morphologic features into measurable units.
期刊介绍:
The Journal of Molecular Diagnostics, the official publication of the Association for Molecular Pathology (AMP), co-owned by the American Society for Investigative Pathology (ASIP), seeks to publish high quality original papers on scientific advances in the translation and validation of molecular discoveries in medicine into the clinical diagnostic setting, and the description and application of technological advances in the field of molecular diagnostic medicine. The editors welcome for review articles that contain: novel discoveries or clinicopathologic correlations including studies in oncology, infectious diseases, inherited diseases, predisposition to disease, clinical informatics, or the description of polymorphisms linked to disease states or normal variations; the application of diagnostic methodologies in clinical trials; or the development of new or improved molecular methods which may be applied to diagnosis or monitoring of disease or disease predisposition.