Nanopore sequencing approach for immunoglobulin gene analysis in chronic lymphocytic leukemia

• Published in: Scientific reports Vol. 11; no. 1; pp. 17668 - 7
• Main Authors: Minervini, Crescenzio Francesco, Cumbo, Cosimo, Redavid, Immacolata, Conserva, Maria Rosa, Orsini, Paola, Zagaria, Antonella, Anelli, Luisa, Coccaro, Nicoletta, Tota, Giuseppina, Impera, Luciana, Parciante, Elisa, Tarantini, Francesco, Giordano, Annamaria, Specchia, Giorgina, Musto, Pellegrino, Albano, Francesco
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.09.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/1647/48; 631/1647/514/2254; 631/208/248; 631/67/1990/283/1895; Chronic lymphocytic leukemia; Disease management; Genetic diversity; Humanities and Social Sciences; Immunoglobulins; Leukemia; Lymphatic leukemia; multidisciplinary; Next-generation sequencing; Science; Science (multidisciplinary); Somatic hypermutation
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-97198-3

The evaluation of the somatic hypermutation of the clonotypic immunoglobulin heavy variable gene has become essential in the therapeutic management in chronic lymphocytic leukemia patients. European Research Initiative on Chronic Lymphocytic Leukemia promotes good practices and standardized approaches to this assay but often they are labor-intensive, technically complex, with limited in scalability. The use of next-generation sequencing in this analysis has been widely tested, showing comparable accuracy and distinct advantages. However, the adoption of the next generation sequencing requires a high sample number (run batching) to be economically convenient, which could lead to a longer turnaround time. Here we present data from nanopore sequencing for the somatic hypermutation evaluation compared to the standard method. Our results show that nanopore sequencing is suitable for immunoglobulin heavy variable gene mutational analysis in terms of sensitivity, accuracy, simplicity of analysis and is less time-consuming. Moreover, our work showed that the development of an appropriate data analysis pipeline could lower the nanopore sequencing error rate attitude.