ArticleInternational journal of clinical oncology2022
Proposal for a tumor budding predictive score derived from endoscopic biopsy samples in colorectal cancer.
Article in International journal of clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- SLC4A11 is a targetable marker correlated with therapeutic responses in ovarian cancer.Journal of ovarian research · 2025Article
- Review
- ASO Author Reflections: Practical Utility of Molecular Budding Signature-An Objective Gene Classification System as a Marker of Recurrence Risk.Annals of surgical oncology · 2023Article
- Tumor budding in gastric cancer.World journal of gastrointestinal surgery · 2023Review
- Differentially Expressed Genes and Molecular Susceptibility to Human Age-Related Diseases.International journal of molecular sciences · 2023Article
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Authors and funding
9 authors at 1 institution in 1 country.
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Abstract
backgroundIn colorectal cancer, tumor budding is highlighted as both a prognostic indicator and a predictor of chemosensitivity. However, tumor budding has a serious drawback because of unattainable preoperative assessment, thereby, making it not applicable to decision-making on treatment strategies. Recently, high expressions of seven genes (i.e., MSLN, SLC4A11, WNT11, SCEL, RUNX2, MGAT3, and FOXC1) were shown to be associated with high-budding colorectal cancers. This study aimed to propose a budding prediction system using selected RNAs extracted from biopsy specimens.
methodsThe RNA expression levels in 86 surgically resected samples and in 104 samples obtained by colonoscopy before surgery were investigated.
resultsThe tumor surface expressions of four exclusive genes (i.e., MSLN, SLC4A11, SCEL, and MGAT3) were correlated with the tumor budding grade. Subsequently, the logit P value calculated by multiple logistic regression analysis using the four surface gene expressions was set as the following budding predictive score: Logit (P) = - 0.55 + 0.27*MSLN + 0.16*SLC4A11 + 0.06*MGAT3 + 0.21*SCEL. The effectiveness of the model using colorectal cancer biopsy samples was well corroborated prospectively.
conclusionThe budding predictive score that we developed using endoscopic biopsy specimens was clarified to have a high potential for preoperative use.
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