Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer

This study proposes a novel non-invasive diagnostic approach utilizing transcriptomic profiling of liquid biopsy samples for the early detection of occult peritoneal metastases in locally advanced gastric cancer (LAGC). By analyzing RNA expression patterns of cancer cells, this method identifies specific gene signatures associated with peritoneal spread, potentially offering a more sensitive and comprehensive diagnostic tool compared to conventional imaging techniques. A 4-mRNA panel (BUB1, SPC25, CT83, MMP3) integrated with clinical features was developed into a Risk Stratification Assessment (RSA) model, demonstrating superior predictive accuracy in multiple cohorts with an area under the curve (AUC) of 0.836 in training and 0.882 in validation. This approach offers a promising alternative for early diagnosis, improving treatment decisions and clinical outcomes for gastric cancer patients, while enabling a shift from tissue-based testing to non-invasive blood-based diagnostics.

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Publication Details

Journal
npj Precision Oncology
Published
2025-04-15
DOI
https://doi.org/10.1038/s41698-025-00875-z
Citations
2
Primary Topic
Gastric Cancer Management and Outcomes
Type
article
Field-Weighted Citation Impact
3.04
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Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer

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2 citations
npj Precision Oncology
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article

Non-invasive liquid biopsy based on transcriptomic profiling for early diagnosis of occult peritoneal metastases in locally advanced gastric cancer

Tongkun Li, Ping’an Ding, Jiaxiang Wu, Honghai Guo, Jinchen He, Lilong Zhang, Qun Zhao, Jiaxuan Yang, Haotian Wu, Lingjiao Meng, Xiaolong Li, Peigang Yang, Renjun Gu, Yuan Tian, Zhenjiang Guo, Xiaoman Niu, Ning Meng
article en
2 citations

Abstract

This study proposes a novel non-invasive diagnostic approach utilizing transcriptomic profiling of liquid biopsy samples for the early detection of occult peritoneal metastases in locally advanced gastric cancer (LAGC). By analyzing RNA expression patterns of cancer cells, this method identifies specific gene signatures associated with peritoneal spread, potentially offering a more sensitive and comprehensive diagnostic tool compared to conventional imaging techniques. A 4-mRNA panel (BUB1, SPC25, CT83, MMP3) integrated with clinical features was developed into a Risk Stratification Assessment (RSA) model, demonstrating superior predictive accuracy in multiple cohorts with an area under the curve (AUC) of 0.836 in training and 0.882 in validation. This approach offers a promising alternative for early diagnosis, improving treatment decisions and clinical outcomes for gastric cancer patients, while enabling a shift from tissue-based testing to non-invasive blood-based diagnostics.

npj Precision OncologyVol. 9(1)
Hebei Medical University (CN), Nanjing University of Chinese Medicine (CN), Hengshui University (CN), Nanjing General Hospital of Nanjing Military Command (CN), Wuhan University (CN), Third Hospital of Hebei Medical University (CN), Center for Agricultural Resources Research (CN), Fourth Hospital of Hebei Medical University (CN), Hebei General Hospital (CN), First Hospital of Shijiazhuang (CN), Renmin Hospital of Wuhan University (CN), Baoding People's Hospital (CN), Nanjing University (CN)
Zero hunger
Openalex Percentile: Top 10%
Gastric Cancer Management and Outcomes
3.04
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