ArticleFrontiers in oncology2021
A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma.
Article in Frontiers in oncology, 2021. 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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7 citing papers in PubMed, 10 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
- Bladder sarcoma treated with radical cystectomy and adjuvant epirubicin and ifosfamide chemotherapy: a case report.Frontiers in oncology · 2026Article
- Machine learning-based detoxification enzymes-related genes prognosis model in breast cancer: immune landscape and clinical significance.Discover oncology · 2025Article
- Article
- Robot-assisted laparoscopic enucleation in the treatment of leiomyosarcoma of urinary bladder: A case report.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Article
- Necroptosis-Related Modification Patterns Depict the Tumor Microenvironment, Redox Stress Landscape, and Prognosis of Ovarian Cancer.Oxidative medicine and cellular longevity · 2023Article
- Molecular subtypes, clinical significance, and tumor immune landscape of angiogenesis-related genes in ovarian cancer.Frontiers in oncology · 2022Article
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11 authors at 2 institutions in 1 country.
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Abstract
objectivesThe aim of this study is to evaluate the significant factors influencing the overall survival (OS) and recurrence free survival (RFS) and make an attempt to develop a nomogram for predicting the prognosis of patients with genitourinary sarcoma (GS).
methodsData on adult GS from 1985 to 2010 were collected. The impact of clinical factors on OS and RFS were estimated by Kaplan-Meier (KM) analysis, and differences between groups were analyzed by the log-rank test. To establish a nomogram, all patients were randomly divided into a training set (n = 125) and a testing set (n = 63). Cox proportion hazard model was utilized to assess the prognostic effect of variables. Then, a nomogram was established to estimate 1-, 3-, and 5-year OS based on Cox regression model. Subsequently, the nomogram was validated by a training set and a validation set.
resultsA total of 188 patients were enrolled into our study. Male patients with bladder sarcoma had better OS rather than RFS when stratified by gender (P = 0.022). According to histological subtypes, patients with leiomyosarcoma (LMS) undergoing chemotherapy were associated with favorable OS (P = 0.024) and RFS (P = 0.001). Furthermore, LMS in kidney sarcoma were associated with lower recurrence rate in comparison to rhabdomyosarcoma (RMS) (P = 0.043). Margin status after surgical excision markedly influenced the OS and RFS of GS patients and negative margins presented optimal prognosis. Chemotherapy was associated with improved OS for patients without surgery (P = 0.029) and patients with positive margins (P = 0.026). Based on the multivariate analysis of the training cohort, age, gender, surgery status, histological subtype, and chemotherapy were included in our nomogram for prediction of OS. The nomogram had sufficient power with concordance index (C-index) of OS: 0.770, 95%CI: 0.760-0.772 and area under curve (AUC) of OS: 0.759, 95%CI: 0.658-0.859 in the training set and with C-index of OS: 0.741, 95%CI: 0.740-0.765, and AUC of OS: 0.744, 95%CI: 0.576-0.913 in the validation set.
conclusionsAdults GS is a group of extremely rare tumors with poor prognosis. Of all histological types, LMS is sensitive to chemotherapy. We highlighted the cardinal role of surgical resection and the importance of achieving negative margins. We identified the efficacy of chemotherapy for patients with positive margins and those without surgery as well. A nomogram is validated as an effective tool predicting short-term outcomes.
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