| Strategic International Session (Symposium)3(JSGS・JSGE・JGES) |
| Sat. November 7th 9:00 - 11:00 Room 9: Portopia Hotel Main Building Kairaku 3 |
Development of a Non-invasive transcriptomic signature for the identification of lymph node metastasis in T1 colorectal cancers
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| Tatsuro Murano1, Yuma Wada2, Ajay Goel2 | |||
| 1Department of Gastroenterology and Endoscopy, National Cancer Center Hospital East, 2Department of Molecular Diagnostics and Experimental Therapeutics, Beckman Research Institute | |||
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| Aim: This study aimed to establish an optimal transcriptomic signature to predict lymph node metastasis (LNM) in T1 colorectal cancers (T1CRC) through integrated miRNA and mRNA analysis. Method: 162 tissue samples of high risk T1CRC patients were subjected to qRT-PCR analysis for previously identified miRNA and mRNA signatures. Logistic regression model was adopted to create an optical integrated transcriptomic signature associated with LNM. The diagnostic value of this signature was assessed by qRT-PCR analysis using 142 matched serum samples. Result: Among 162 tissues from T1CRCs, 16 (9.9%) were LNM positive. 4 miRNA signature (miR-181b, 193b, 195 and 411) and 5 mRNA signature (AMT, FOXA1, PIGR, MMP1 and MMP9) identified LNM positive T1CRC with AUC value of 0.72 and 0.79, respectively. Integrated transcriptomic signature improved the diagnostic ability of LNM with AUC value of 0.82. In analysis of 142 matched serum samples including 12 (8.4%) LNM positive, integrated transcriptomic signature detected LNM positive T1CRC with AUC value of 0.82. This transcriptomic signature re-classified 71% of high risk T1CRC as low risk with 2% LNM and 29% as high risk with 24% LNM. Conclusion: Our new transcriptomic signature for liquid biopsy-based identification of T1CRC has potential to avoid unnecessary surgeries for patients classified as high risk by conventional risk-classification. |
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Index Term 1: RNA signature Index Term 2: colorectal cancer |
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