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논문 기본 정보

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학술저널
저자정보
박세훈 (삼성서울병원) 이청 (지니너스 주식회사) Bo Mi Ku (Sungkyunkwan University School of Medicine) Minjae Kim (Geninus Inc.) Woong-Yang Park (Geninus Inc. Samsung Medical Center) Nayoung K.D. Kim (삼성서울병원) Myung-Ju Ahn (Sungkyunkwan University School of Medicine)
저널정보
대한생화학·분자생물학회 BMB Reports BMB Reports 제54권 제7호
발행연도
2021.1
수록면
386 - 391 (6page)

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Owing to rapid advancements in NGS (next generation sequencing), genomic alteration is now considered an essential predictive biomarkers that impact the treatment decision in many cases of cancer. Among the various predictive biomarkers, tumor mutation burden (TMB) was identified by NGS and was considered to be useful in predicting a clinical response in cancer cases treated by immunotherapy. In this study, we directly compared the lab-developed-test (LDT) results by target sequencing panel, K-MASTER panel v3.0 and whole-exome sequencing (WES) to evaluate the concordance of TMB. As an initial step, the reference materials (n = 3) with known TMB status were used as an exploratory test. To validate and evaluate TMB, we used one hundred samples that were acquired from surgically resected tissues of non-small cell lung cancer (NSCLC) patients. The TMB of each sample was tested by using both LDT and WES methods, which extracted the DNA from samples at the same time. In addition, we evaluated the impact of capture region, which might lead to different values of TMB; the evaluation of capture region was based on the size of NGS and target sequencing panels. In this pilot study, TMB was evaluated by LDT and WES by using duplicated reference samples; the results of TMB showed high concordance rate (R2 = 0.887). This was also reflected in clinical samples (n = 100), which showed R2 of 0.71. The difference between the coding sequence ratio (3.49%) and the ratio of mutations (4.8%) indicated that the LDT panel identified a relatively higher number of mutations. It was feasible to calculate TMB with LDT panel, which can be useful in clinical practice. Furthermore, a customized approach must be developed for calculating TMB, which differs according to cancer types and specific clinical settings.

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