Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer
Abstract Background The increasing incidence of early-stage T1 gastric cancer (GC) underscores the need for accurate preoperative risk stratification of lymph node metastasis (LNM). Current pathological assessments often misclassify patients, leading to unnecessary radical surgeries. Methods Through...
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| Language: | English |
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BMC
2025-02-01
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| Series: | Journal of Experimental & Clinical Cancer Research |
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| Online Access: | https://doi.org/10.1186/s13046-025-03305-x |
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| author | Ping’an Ding Jiaxiang Wu Haotian Wu Wenqian Ma Tongkun Li Peigang Yang Honghai Guo Yuan Tian Jiaxuan Yang Limian Er Renjun Gu Lilong Zhang Ning Meng Xiaolong Li Zhenjiang Guo Lingjiao Meng Qun Zhao |
| author_facet | Ping’an Ding Jiaxiang Wu Haotian Wu Wenqian Ma Tongkun Li Peigang Yang Honghai Guo Yuan Tian Jiaxuan Yang Limian Er Renjun Gu Lilong Zhang Ning Meng Xiaolong Li Zhenjiang Guo Lingjiao Meng Qun Zhao |
| author_sort | Ping’an Ding |
| collection | DOAJ |
| description | Abstract Background The increasing incidence of early-stage T1 gastric cancer (GC) underscores the need for accurate preoperative risk stratification of lymph node metastasis (LNM). Current pathological assessments often misclassify patients, leading to unnecessary radical surgeries. Methods Through analysis of transcriptomic data from public databases and T1 GC tissues, we identified a 4-mRNA panel (SDS, TESMIN, NEB, and GRB14). We developed and validated a Risk Stratification Assessment (RSA) model combining this panel with clinical features using surgical specimens (training cohort: n = 218; validation cohort: n = 186), gastroscopic biopsies (n = 122), and liquid biopsies (training cohort: n = 147; validation cohort: n = 168). Results The RSA model demonstrated excellent predictive accuracy for LNM in surgical specimens (training AUC = 0.890, validation AUC = 0.878), gastroscopic biopsies (AUC = 0.928), and liquid biopsies (training AUC = 0.873, validation AUC = 0.852). This model significantly reduced overtreatment rates from 83.9 to 44.1% in tissue specimens and from 84.4 to 56.0% in liquid biopsies. The 4-mRNA panel showed specificity for T1 GC compared to other gastrointestinal cancers (P < 0.001). Conclusions We developed and validated a novel liquid biopsy-based RSA model that accurately predicts LNM in T1 GC patients. This non-invasive approach could significantly reduce unnecessary surgical interventions and optimize treatment strategies for high-risk T1 GC patients. |
| format | Article |
| id | doaj-art-be37c966f2334833a86c284cbea7915f |
| institution | Kabale University |
| issn | 1756-9966 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Experimental & Clinical Cancer Research |
| spelling | doaj-art-be37c966f2334833a86c284cbea7915f2025-02-09T12:59:52ZengBMCJournal of Experimental & Clinical Cancer Research1756-99662025-02-0144111810.1186/s13046-025-03305-xPreoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancerPing’an Ding0Jiaxiang Wu1Haotian Wu2Wenqian Ma3Tongkun Li4Peigang Yang5Honghai Guo6Yuan Tian7Jiaxuan Yang8Limian Er9Renjun Gu10Lilong Zhang11Ning Meng12Xiaolong Li13Zhenjiang Guo14Lingjiao Meng15Qun Zhao16The Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityHebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityDepartment of Endoscopy, The Fourth Hospital of Hebei Medical UniversitySchool of Chinese Medicine, School of Integrated Chinese and Western Medicine, Nanjing University of Chinese MedicineDepartment of General Surgery, Renmin Hospital of Wuhan UniversityDepartment of General Surgery, Shijiazhuang People’s HospitalDepartment of General Surgery, Baoding Central HospitalGeneral Surgery Department, Hengshui People’s HospitalResearch Center, Tumor Research Institute of the Fourth Hospital of Hebei Medical UniversityThe Third Department of Surgery, the Fourth Hospital of Hebei Medical UniversityAbstract Background The increasing incidence of early-stage T1 gastric cancer (GC) underscores the need for accurate preoperative risk stratification of lymph node metastasis (LNM). Current pathological assessments often misclassify patients, leading to unnecessary radical surgeries. Methods Through analysis of transcriptomic data from public databases and T1 GC tissues, we identified a 4-mRNA panel (SDS, TESMIN, NEB, and GRB14). We developed and validated a Risk Stratification Assessment (RSA) model combining this panel with clinical features using surgical specimens (training cohort: n = 218; validation cohort: n = 186), gastroscopic biopsies (n = 122), and liquid biopsies (training cohort: n = 147; validation cohort: n = 168). Results The RSA model demonstrated excellent predictive accuracy for LNM in surgical specimens (training AUC = 0.890, validation AUC = 0.878), gastroscopic biopsies (AUC = 0.928), and liquid biopsies (training AUC = 0.873, validation AUC = 0.852). This model significantly reduced overtreatment rates from 83.9 to 44.1% in tissue specimens and from 84.4 to 56.0% in liquid biopsies. The 4-mRNA panel showed specificity for T1 GC compared to other gastrointestinal cancers (P < 0.001). Conclusions We developed and validated a novel liquid biopsy-based RSA model that accurately predicts LNM in T1 GC patients. This non-invasive approach could significantly reduce unnecessary surgical interventions and optimize treatment strategies for high-risk T1 GC patients.https://doi.org/10.1186/s13046-025-03305-xGastric cancerLymph node metastasesLiquid biopsyTranscriptomics panelRisk stratification assessment |
| spellingShingle | Ping’an Ding Jiaxiang Wu Haotian Wu Wenqian Ma Tongkun Li Peigang Yang Honghai Guo Yuan Tian Jiaxuan Yang Limian Er Renjun Gu Lilong Zhang Ning Meng Xiaolong Li Zhenjiang Guo Lingjiao Meng Qun Zhao Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer Journal of Experimental & Clinical Cancer Research Gastric cancer Lymph node metastases Liquid biopsy Transcriptomics panel Risk stratification assessment |
| title | Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer |
| title_full | Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer |
| title_fullStr | Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer |
| title_full_unstemmed | Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer |
| title_short | Preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in T1 gastric cancer |
| title_sort | preoperative liquid biopsy transcriptomic panel for risk assessment of lymph node metastasis in t1 gastric cancer |
| topic | Gastric cancer Lymph node metastases Liquid biopsy Transcriptomics panel Risk stratification assessment |
| url | https://doi.org/10.1186/s13046-025-03305-x |
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