ArticleCancer pathogenesis and therapy2023
Survival nomogram for patients with
Article in Cancer pathogenesis and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- WITHDRAWN: From CDK4/6 to CDK2 and KAT: Evolving therapeutic approaches in HR+/HER2- breast cancer.Breast (Edinburgh, Scotland) · 2026Article
- Machine learning and cox model-based prediction of CDK4/6 inhibitor outcomes in HR+/HER2 - metastatic breast cancer: a multicenter real-world study.Breast cancer research and treatment · 2026Article
- CDK4/6 Inhibitors for Breast Cancer Therapy-A Review of Clinical Trials, Structural and Computational Approaches.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Machine learning-based prognostic model for metastatic breast cancer and its interpretability: a multicenter retrospective study.Gland surgery · 2025Article
- Development and internal validation of a predictive model of overall and progression-free survival in eribulin-treated patients with breast cancer based on baseline peripheral blood parameters.Breast cancer (Tokyo, Japan) · 2025Article
- Predictive models and therapeutic strategies for breast cancer.Cancer pathogenesis and therapy · 2025Article
- The N6-methyladenosine writer METTL3 promotes breast cancer progression through YTHDF2-dependent posttranscriptional silencing of GSDMD.Apoptosis : an international journal on programmed cell death · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: On average, 5-10% of patients are diagnosed with metastatic breast cancer (MBC) at the initial diagnosis. This study aimed to develop a nomogram to predict the overall survival (OS) in these patients. Methods: The nomogram was based on a retrospective study of 9435 patients with Results: Multivariate analysis of the primary cohort revealed that independent factors for survival were age at diagnosis, pathological type, histological grade, T stage, N stage, molecular subtype, bone metastasis, brain metastasis, liver metastasis, lung metastasis, surgery, chemotherapy, and radiotherapy. The nomogram achieved a C-index of 0.688 (95% confidence interval [CI], 0.682-0.694) in the training cohort and 0.875 (95% CI, 0.816-0.934) in the validation cohort. The AUC of the nomograms indicated good specificity and sensitivity in the training and validation cohorts, respectively. Calibration curves showed favorable consistency between the predicted and actual survival probabilities. Additionally, the DCA curve produced higher net gains than by the AJCC-TNM staging system. Finally, risk stratification can accurately identify groups of patients with Conclusions: The nomogram showed favorable predictive and discriminative abilities for OS in patients with
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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.