ArticleFrontiers in oncology2019
A Pre-operative Nomogram for Prediction of Lymph Node Metastasis in Bladder Urothelial Carcinoma.
Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- A clinically practical model for the preoperative prediction of lymph node metastasis in bladder cancer: a multicohort study.British journal of cancer · 2023Article
- Development and validation of a preoperative nomogram to predict lymph node metastasis in patients with bladder urothelial carcinoma.Journal of cancer research and clinical oncology · 2023Article
- Article
- Predicting skip metastasis in lateral lymph nodes of papillary thyroid carcinoma based on clinical and ultrasound features.Frontiers in endocrinology · 2023Article
- Emerging Biomarkers for Predicting Bladder Cancer Lymph Node Metastasis.Frontiers in oncology · 2021Review
- Preoperative Predictors of Lymph Node Metastasis in Colon Cancer.Frontiers in oncology · 2021Article
- A nomogram to predict skip metastasis in papillary thyroid cancer.World journal of surgical oncology · 2020Article
- Evaluation of gene expression-based predictors of lymph node metastasis in bladder cancer.Bladder cancer (Amsterdam, Netherlands)Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The status of lymph node (LN) metastases plays a decisive role in the selection of surgical procedures and post-operative treatment. Several histopathologic features, known as predictors of LN metastasis, are commonly available post-operatively. Medical imaging improved pre-operative diagnosis, but the results are not fully satisfactory due to substantial false positives. Thus, a reliable and robust method for pre-operative assessment of LN status is urgently required. We developed a prediction model in a training set from the TCGA-BLCA cohort including 196 bladder urothelial carcinoma samples with confirmed LN metastasis status. Least absolute shrinkage and selection operator (LASSO) regression was harnessed for dimension reduction, feature selection, and LNM signature building. Multivariable logistic regression was used to develop the prognostic model, incorporating the LNM signature, and a genomic mutation of
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