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基于面板的肺腺癌肿瘤突变负荷的时空异质性:从技术伪影中分离生物学。

Spatial and Temporal Heterogeneity of Panel-Based Tumor Mutational Burden in Pulmonary Adenocarcinoma: Separating Biology From Technical Artifacts.

机构信息

Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany; Translational Lung Research Center (TLRC) Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany.

Institute of Pathology, University Hospital Heidelberg, Heidelberg, Germany.

出版信息

J Thorac Oncol. 2019 Nov;14(11):1935-1947. doi: 10.1016/j.jtho.2019.07.006. Epub 2019 Jul 23.

Abstract

BACKGROUND

Tumor mutational burden (TMB) is an emerging biomarker used to identify patients who are more likely to benefit from immuno-oncology therapy. Aside from various unsettled technical aspects, biological variables such as tumor cell content and intratumor heterogeneity may play an important role in determining TMB.

METHODS

TMB estimates were determined applying the TruSight Oncology 500 targeted sequencing panel. Spatial and temporal heterogeneity was analyzed by multiregion sequencing (two to six samples) of 24 pulmonary adenocarcinomas and by sequencing a set of matched primary tumors, locoregional lymph node metastases, and distant metastases in five patients.

RESULTS

On average, a coding region of 1.28 Mbp was covered with a mean read depth of 609x. Manual validation of the mutation-calls confirmed a good performance, but revealed noticeable misclassification during germline filtering. Different regions within a tumor showed considerable spatial TMB variance in 30% (7 of 24) of the cases (maximum difference, 14.13 mut/Mbp). Lymph node-derived TMB was significantly lower (p = 0.016). In 13 cases, distinct mutational profiles were exclusive to different regions of a tumor, leading to higher values for simulated aggregated TMB. Combined, intratumor heterogeneity and the aggregated TMB could result in divergent TMB designation in 17% of the analyzed patients. TMB variation between primary tumor and distant metastases existed but was not profound.

CONCLUSIONS

Our data show that, in addition to technical aspects such as germline filtering, the tumor content and spatially divergent mutational profiles within a tumor are relevant factors influencing TMB estimation, revealing limitations of single-sample-based TMB estimations in a clinical context.

摘要

背景

肿瘤突变负荷(TMB)是一种新兴的生物标志物,用于识别更有可能从肿瘤免疫治疗中获益的患者。除了各种尚未解决的技术方面,肿瘤细胞含量和肿瘤内异质性等生物学变量可能在确定 TMB 方面发挥重要作用。

方法

应用 TruSight Oncology 500 靶向测序 panel 确定 TMB 估计值。通过对 24 例肺腺癌的多区域测序(2 到 6 个样本)和对 5 例患者的一组匹配原发性肿瘤、局部区域淋巴结转移和远处转移进行测序,分析空间和时间异质性。

结果

平均而言,编码区的 1.28 Mbp 被平均读深度为 609x 的覆盖。突变调用的手动验证证实了良好的性能,但在种系过滤过程中发现了明显的错误分类。在 30%(24 例中的 7 例)的病例中,肿瘤内不同区域的 TMB 存在显著的空间差异(最大差异,14.13 mut/Mbp)。淋巴结衍生的 TMB 明显较低(p=0.016)。在 13 例中,肿瘤不同区域的独特突变谱导致模拟的聚合 TMB 值更高。肿瘤内异质性和聚合 TMB 结合起来,可导致分析患者中 17%的患者 TMB 分类不同。原发性肿瘤和远处转移之间的 TMB 变化存在,但不显著。

结论

我们的数据表明,除了技术方面(如种系过滤)外,肿瘤内的肿瘤含量和空间上不同的突变谱也是影响 TMB 估计的相关因素,揭示了基于单样本 TMB 估计在临床背景下的局限性。

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