Identification of multiple genomic alterations and prediction of neoantigens from circulating tumor cells at the single-cell level

Circulating tumor cells (CTCs) are linked to cancer progression and poor prognosis, offering valuable genetic insights into tumors. Accurate detection of genomic alterations in CTCs is essential for improving cancer diagnosis and treatment. To address this, we develop Uniform Chromosome Conformation Capture (Uni-C), a method for profiling 3D chromatin architecture and genomic alterations at the single-cell level. Using Uni-C, we analyze CTCs from pancreatic cancer patient-derived xenograft (PDX) and spontaneous tumor mouse models. In the PDX model, integrating data from seven CTCs captures 88.7% of SNPs and INDELs, and 75.0% of structural variants present in tumor tissue. These findings indicate that variants detected in CTCs reflect tumor genomic features. Notably, we observe chromatin conformation differences between mitotic and interphase CTCs, suggesting potential markers of cell vitality. In the spontaneous tumor model, we identify driver gene mutations in CTCs and predict neoantigens, advancing early cancer detection and treatment strategies.

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Publication Details

Journal
Nature Communications
Published
2025-07-26
DOI
https://doi.org/10.1038/s41467-025-62215-w
Citations
1
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.94

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Identification of multiple genomic alterations and prediction of neoantigens from circulating tumor cells at the single-cell level

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Identification of multiple genomic alterations and prediction of neoantigens from circulating tumor cells at the single-cell level

Jiling Feng, Taiyu Zhang, Yu Guo, Chengchao Wu, Xiaochen Gao, Da Lin, Jiajia Wang, Xinyu Li, Weihao Wang, Yuqin Yang, Weize Xu, Qianqian Guo, Ming Jiao
article en
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Abstract

Circulating tumor cells (CTCs) are linked to cancer progression and poor prognosis, offering valuable genetic insights into tumors. Accurate detection of genomic alterations in CTCs is essential for improving cancer diagnosis and treatment. To address this, we develop Uniform Chromosome Conformation Capture (Uni-C), a method for profiling 3D chromatin architecture and genomic alterations at the single-cell level. Using Uni-C, we analyze CTCs from pancreatic cancer patient-derived xenograft (PDX) and spontaneous tumor mouse models. In the PDX model, integrating data from seven CTCs captures 88.7% of SNPs and INDELs, and 75.0% of structural variants present in tumor tissue. These findings indicate that variants detected in CTCs reflect tumor genomic features. Notably, we observe chromatin conformation differences between mitotic and interphase CTCs, suggesting potential markers of cell vitality. In the spontaneous tumor model, we identify driver gene mutations in CTCs and predict neoantigens, advancing early cancer detection and treatment strategies.

Nature CommunicationsVol. 16(1)
Guangdong Medical College (CN), Shanghai Jiao Tong University (CN), Dalian Medical University (CN), Huazhong Agricultural University (CN), Guangzhou Institutes of Biomedicine and Health (CN), Shanghai Mental Health Center (CN), Fudan University Shanghai Cancer Center (CN), Shanghai First People's Hospital (CN), Shanghai Clinical Research Center (CN), Affiliated Hospital of Guangdong Medical College Hospital (CN)
National Natural Science Foundation of China, Soongsil University, Science and Technology Planning Project of Guangdong Province
Openalex Percentile: Top 22%
Cancer Genomics and Diagnostics
0.94
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