ArticleFrontiers in immunology2022
Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma.
Article in Frontiers in immunology, 2022. 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.
- A machine learning-driven prognostic model based on peripheral blood lymphocyte subsets in osteosarcoma.Frontiers in immunology · 2026Article
- Dynamic changes in peripheral blood lymphocyte subsets predict the efficacy and prognosis of immune checkpoint inhibitors in metastatic osteosarcoma.Frontiers in immunology · 2026Article
- Combined neutrophil-to-lymphocyte ratio and nomogram for predicting progression-free survival in recurrent/metastatic cervical cancer treated with immune checkpoint inhibitors.Frontiers in immunology · 2026Article
- Bioinformatics Analysis of coagulation-related genes in lung adenocarcinoma: unveiling prognostic indicators and treatment pathways.Scientific reports · 2025Article
- Prognostic and predictive value of super-enhancer-derived signatures for survival and lung metastasis in osteosarcoma.Journal of translational medicine · 2024Article
- Electrolyte prognosis scoring system can predict overall survival in patients with osteosarcoma.Frontiers in oncology · 2024Article
- A novel nomogram based on the hematological prognosis risk scoring system can predict the overall survival of patients with hepatocellular carcinoma.Journal of cancer research and clinical oncology · 2023Article
- The combination of baseline neutrophil to lymphocyte ratio and dynamic changes during treatment can better predict the survival of osteosarcoma patients.Frontiers in oncology · 2023Article
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13 authors.
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Abstract
Osteosarcoma is the most common primary malignant bone tumor with a high metastatic potential. Nowadays, there is a lack of new markers to identify prognosis of osteosarcoma patients with response to medical treatment. Recent studies have shown that hematological markers can reflect to some extent the microenvironment of an individual with the potential to predict patient prognosis. However, most of the previous studies have studied the prognostic value of a single hematological index, and it is difficult to comprehensively reflect the tumor microenvironment of patients. Here, we comprehensively collected 16 hematological markers and constructed a hematological prognostic scoring system (HPSS) using LASSO cox regression analysis. HPSS contains many indicators such as immunity, inflammation, coagulation and nutrition. Our results suggest that HPSS is an independent prognostic factor for overall survival in osteosarcoma patients and is an optimal addition to clinical characteristics and well suited to further identify high-risk patients from clinically low-risk patients. HPSS-based nomograms have good predictive ability. Finally, HPSS also has some hints for immunotherapy response in osteosarcoma patients.
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