Chinese pan-cancer patient genomic characteristics: A comprehensive analysis based on the National Cancer Center–Clinical Diagnostics Knowledgebase real-world clinical sequencing cohort

IF 13.6
Interdisciplinary Medicine Pub Date : 2026-03-30 Epub Date: 2026-01-15 DOI:10.1002/inmd.70087
Hongrui Li, Shun Wang, Guowei Zhao, Jiangtao Li, Xin Li, Bingning Wang, Yi Zhang, Mengfei Yao, Lei Guo, Jianming Ying, Wenbin Li
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Abstract

Precision oncology strategies guided by tumor molecular profiling often target key genomic aberrations in patients. Herein, we assembled National Cancer Center–Clinical Diagnostics Knowledgebase, compiling clinical targeted sequencing data from 6935 tumor tissues and matched normal samples, along with available pathological and clinical information. Comprehensive genomic profiling was conducted to characterize tumor type-specific somatic alterations, and comparative analyses were performed across distinct cohorts. Key genomic characteristics included high-frequency alterations in TP53 (57.8%), APC (22.6%), KRAS (21.3%), and EGFR (17.5%), among which EGFR mutations were significantly enriched in lung adenocarcinoma patients. In this cohort, 70.2% of the samples harbored at least one clinically actionable genomic aberration. 14.9% of patients showed high tumor mutational burden (TMB > 10 mutations/Mb), and the TMB level was significantly higher in patients with microsatellite instability-high than in those with microsatellite stability. We also correlated next-generation sequencing (NGS) results with conventional molecular pathology assays. We found high consistency between ERBB2 focal amplification cases determined by NGS and clinically targetable ERBB2 amplification/HER2 overexpression cases. In conclusion, this study constructed a large-scale real-world genomic dataset representative of Chinese cancer patients, spanning multiple tumor types. Moreover, our findings underscore the clinical value of NGS in identifying patients with ERBB2 amplification who may potentially benefit from targeted treatments, particularly in non-small-cell lung cancer cases where NGS panel testing is prioritized.

Abstract Image

Abstract Image

中国泛癌症患者基因组特征:基于国家癌症中心-临床诊断知识库真实世界临床测序队列的综合分析
以肿瘤分子谱为指导的精确肿瘤学策略通常针对患者的关键基因组畸变。在此,我们整合了国家癌症中心临床诊断知识库,汇编了6935例肿瘤组织和匹配正常样本的临床靶向测序数据,以及可用的病理和临床信息。进行了全面的基因组分析,以表征肿瘤类型特异性的体细胞改变,并在不同的队列中进行了比较分析。关键基因组特征包括TP53(57.8%)、APC(22.6%)、KRAS(21.3%)和EGFR(17.5%)的高频改变,其中EGFR突变在肺腺癌患者中显著富集。在这个队列中,70.2%的样本至少有一个临床可操作的基因组畸变。14.9%的患者肿瘤突变负担高(TMB >; 10个突变/Mb),微卫星不稳定患者的TMB水平显著高于微卫星稳定患者。我们还将下一代测序(NGS)结果与常规分子病理学分析相关联。我们发现,NGS检测的ERBB2局灶扩增病例与临床可靶向的ERBB2扩增/HER2过表达病例高度一致。总之,本研究构建了一个大规模的真实世界的基因组数据集,代表了中国癌症患者,跨越多种肿瘤类型。此外,我们的研究结果强调了NGS在识别ERBB2扩增患者方面的临床价值,这些患者可能从靶向治疗中获益,特别是在优先考虑NGS面板检测的非小细胞肺癌病例中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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