Trial reportEBioMedicine2018
A Genomic-clinicopathologic Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.
Trial report in EBioMedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 46 citations in OpenAlex.
- Development and validation of a prognostic nomogram for adult patients with renal sarcoma: A retrospective study based on the SEER database.Frontiers in public health · 2022Trial
- Exploring the underlying mechanisms of Hedyotis diffusa and Scutellaria Barbata herb pair on the prognosis and treatment efficacy of bladder cancer patients: an integrated approach of network pharmacology and bioinformatics analysis.BMC complementary medicine and therapies · 2026Article
- COL10A1 beyond skeletal development: a hypertrophic chondrocyte-specific collagen emerging as a potential biomarker and tumor microenvironment regulator in solid cancers.American journal of cancer research · 2026Review
- Novel Biomarkers for Lymph Node Metastasis and Prognosis of Bladder Cancer by Bioinformatics Analysis.ACS omega · 2025Article
- Unleashing the therapeutic potential of tumor-draining lymph nodes: spotlight on bladder cancer.Journal of translational medicine · 2025Review
- Deep learning-based lymph node metastasis status predicts prognosis from muscle-invasive bladder cancer histopathology.World journal of urology · 2025Article
- A Predictive Nomogram for Development of Lymph Node Metastasis in Muscle-Invasive Bladder Cancer Following Neoadjuvant Therapy.Advances in radiation oncology · 2025Article
- Oncogenic mechanisms of COL10A1 in cancer and clinical challenges (Review).Oncology reports · 2024Review
- Using machine learning to develop preoperative model for lymph node metastasis in patients with bladder urothelial carcinoma.BMC cancer · 2024Article
- Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities.Frontiers in oncology · 2024Review
- 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
- Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement.Diagnostics (Basel, Switzerland) · 2023Review
- Article
- Management of Bladder Cancer Patients with Clinical Evidence of Lymph Node Invasion (cN+).Cancers · 2022Review
- Novel, alternative splicing signature to detect lymph node metastasis in prostate adenocarcinoma with machine learning.Frontiers in oncology · 2022Article
- Prediction of Prognosis and Recurrence of Bladder Cancer by ECM-Related Genes.Journal of immunology research · 2022Article
- Construction of a ceRNA network and a genomic-clinicopathologic nomogram to predict survival for HBV-related HCC.Human cell · 2021Article
- Establishment of A Nomogram for Predicting the Prognosis of Soft Tissue Sarcoma Based on Seven Glycolysis-Related Gene Risk Score.Frontiers in genetics · 2021Article
- Emerging Biomarkers for Predicting Bladder Cancer Lymph Node Metastasis.Frontiers in oncology · 2021Review
- Development and Internal Validation of Model Predicting Postoperative Blood Loss Risk Among Children with Pulmonary Atresia Undergoing Cardiopulmonary Bypass.Pediatric cardiology · 2021Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preoperative lymph node (LN) status is important for the treatment of bladder cancer (BCa). Here, we report a genomic-clinicopathologic nomogram for preoperatively predicting LN metastasis in BCa. In the discovery stage, 325 BCa patients from TCGA were involved and LN-status-related mRNAs were selected. In the training stage, multivariate logistic regression analysis was used to developed a genomic-clinicopathologic nomogram for preoperative LN metastasis prediction in the training set (SYSMH set, n=178). In the validation stage, we validated the nomogram using two independent sample sets (SYSUCC set, n=142; RJH set, n=104) with respect to its discrimination, calibration and clinical usefulness. As results, we identified five LN-status-related mRNAs, including ADRA1D, COL10A1, DKK2, HIST2H3D and MMP11. Then, a genomic classifier was developed to classify patients into high- and low-risk groups in the training set. Furthermore, a nomogram incorporating the five-mRNA-based classifier, image-based LN status, transurethral resection (TUR) T stage, and TUR lymphovascular invasion (LVI) was constructed in the training set, which performed well in the training and validation sets. Decision curve analysis demonstrated the clinical value of our nomogram. Thus, our genomic-clinicopathologic nomogram shows favorable discriminatory ability and may aid in clinical decision-making, especially for cN-patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.