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Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma

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 t...

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Autores principales: Li, Longqing, Wang, Yang, He, Xuanhong, Li, Zhuangzhuang, Lu, Minxun, Gong, Taojun, Chang, Qing, Lin, Jingqi, Liu, Chuang, Luo, Yi, Min, Li, Zhou, Yong, Tu, Chongqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120642/
https://www.ncbi.nlm.nih.gov/pubmed/35603156
http://dx.doi.org/10.3389/fimmu.2022.879560
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author Li, Longqing
Wang, Yang
He, Xuanhong
Li, Zhuangzhuang
Lu, Minxun
Gong, Taojun
Chang, Qing
Lin, Jingqi
Liu, Chuang
Luo, Yi
Min, Li
Zhou, Yong
Tu, Chongqi
author_facet Li, Longqing
Wang, Yang
He, Xuanhong
Li, Zhuangzhuang
Lu, Minxun
Gong, Taojun
Chang, Qing
Lin, Jingqi
Liu, Chuang
Luo, Yi
Min, Li
Zhou, Yong
Tu, Chongqi
author_sort Li, Longqing
collection PubMed
description 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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spelling pubmed-91206422022-05-21 Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma Li, Longqing Wang, Yang He, Xuanhong Li, Zhuangzhuang Lu, Minxun Gong, Taojun Chang, Qing Lin, Jingqi Liu, Chuang Luo, Yi Min, Li Zhou, Yong Tu, Chongqi Front Immunol Immunology 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. Frontiers Media S.A. 2022-05-06 /pmc/articles/PMC9120642/ /pubmed/35603156 http://dx.doi.org/10.3389/fimmu.2022.879560 Text en Copyright © 2022 Li, Wang, He, Li, Lu, Gong, Chang, Lin, Liu, Luo, Min, Zhou and Tu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Li, Longqing
Wang, Yang
He, Xuanhong
Li, Zhuangzhuang
Lu, Minxun
Gong, Taojun
Chang, Qing
Lin, Jingqi
Liu, Chuang
Luo, Yi
Min, Li
Zhou, Yong
Tu, Chongqi
Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma
title Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma
title_full Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma
title_fullStr Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma
title_full_unstemmed Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma
title_short Hematological Prognostic Scoring System Can Predict Overall Survival and Can Indicate Response to Immunotherapy in Patients With Osteosarcoma
title_sort hematological prognostic scoring system can predict overall survival and can indicate response to immunotherapy in patients with osteosarcoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120642/
https://www.ncbi.nlm.nih.gov/pubmed/35603156
http://dx.doi.org/10.3389/fimmu.2022.879560
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