Disease-specific gut microbial signatures generate model-derived cancer probability scores through targeted fecal qPCR profiling
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ID: 318023
2026
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Abstract
The gut microbiome is a potential source of non-invasive cancer biomarkers. We evaluated six fecal microbial markers and developed targeted qPCR-based logistic models for colorectal cancer (CRC) and pancreatic cancer (PC). Using LASSO with the 1-standard-error rule, four markers were selected for CRC (afb, nan, fsr, and 5ar) and three for PC (but, fsr, and saa). In post-selection leave-one-out cross-validation of fixed model structures, the CRC and PC models yielded AUCs of 0.824 and 0.780, respectively. Fixed-model application yielded AUCs of 0.716 for colorectal adenoma and 0.540 for the pancreatic high-risk group. In an exploratory Early PC versus high-risk comparison, the fecal qPCR score showed a higher AUC point estimate than CA19-9, while the difference was not statistically significant. Overall, the disease-specific model performance and fixed-model behavior across clinically related groups support further evaluation of model-derived cancer probability scores as exploratory cancer-assessment tools.
| Reference Key |
openalex_W7165391455
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| Authors | Tadashi Fujii, Eizaburo Ohno, Naoko Nakano, Kazunori Nakaoka, Hideaki Takahashi, Kohei Funasaka, Yohei Doi, Yoshiki Hirooka, Takumi Tochio |
| Journal | bioscience biotechnology and biochemistry |
| Year | 2026 |
| DOI |
10.1093/bbb/zbag090
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| URL | |
| Keywords | Keywords not found |
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