SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data

Abstract The limited understanding of the prognostic implications of immune checkpoint molecules in osteosarcoma (OS) poses significant challenges for improving patient outcomes. There is a gap in the identification of reliable biomarkers that can predict treatment response and prognosis in OS patie...

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Main Authors: Han-jing Zhang, Zhi-Jun Yang, Wen Huang, Dan Chen, Jie Xiang, Wen-kang Chen
Format: Article
Language:English
Published: BMC 2025-08-01
Series:Journal of Orthopaedic Surgery and Research
Subjects:
Online Access:https://doi.org/10.1186/s13018-025-06171-7
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author Han-jing Zhang
Zhi-Jun Yang
Wen Huang
Dan Chen
Jie Xiang
Wen-kang Chen
author_facet Han-jing Zhang
Zhi-Jun Yang
Wen Huang
Dan Chen
Jie Xiang
Wen-kang Chen
author_sort Han-jing Zhang
collection DOAJ
description Abstract The limited understanding of the prognostic implications of immune checkpoint molecules in osteosarcoma (OS) poses significant challenges for improving patient outcomes. There is a gap in the identification of reliable biomarkers that can predict treatment response and prognosis in OS patients. This study focused on investigating the prognostic value of immune checkpoints, specifically BTN3A1, SIRPA, and TDO2, using data from the TARGET database and clinical follow-up data from our hospitals. By conducting univariate Cox regression and least absolute shrinkage and selection operator (LASSO) analyses, we identified these immune checkpoints as significant prognostic indicators. A three-immune-checkpoint genetic prognostic risk model was developed, which demonstrated different prognostic implications across different clinical subgroups. Drug sensitivity analysis revealed that BTN3A1, SIRPA, and TDO2 were correlated with the efficacy of several antineoplastic agents, including hydroxyurea and docetaxel. Validation in our clinical cohort highlighted the significant prognostic value of SIRPA, suggesting its potential as a target for immunotherapy. These findings established a framework for using immune checkpoints as prognostic biomarkers, highlighting their important role in enhancing personalized treatment strategies for OS patients.
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publishDate 2025-08-01
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series Journal of Orthopaedic Surgery and Research
spelling doaj-art-b6bea19041664d7eb7d81eae76e247cc2025-08-20T04:03:03ZengBMCJournal of Orthopaedic Surgery and Research1749-799X2025-08-0120111710.1186/s13018-025-06171-7SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic dataHan-jing Zhang0Zhi-Jun Yang1Wen Huang2Dan Chen3Jie Xiang4Wen-kang Chen5Department of Orthopaedics, The First Affiliated Hospital, Hengyang Medical School, University of South ChinaDepartment of Orthopaedics, The First Affiliated Hospital, Hengyang Medical School, University of South ChinaDepartment of Orthopaedics, The First Affiliated Hospital, Hengyang Medical School, University of South ChinaDepartment of Orthopaedics, The First Affiliated Hospital, Hengyang Medical School, University of South ChinaDepartment of Orthopaedics, The First Affiliated Hospital, Hengyang Medical School, University of South ChinaDepartment of Orthopaedics, The First Affiliated Hospital, Hengyang Medical School, University of South ChinaAbstract The limited understanding of the prognostic implications of immune checkpoint molecules in osteosarcoma (OS) poses significant challenges for improving patient outcomes. There is a gap in the identification of reliable biomarkers that can predict treatment response and prognosis in OS patients. This study focused on investigating the prognostic value of immune checkpoints, specifically BTN3A1, SIRPA, and TDO2, using data from the TARGET database and clinical follow-up data from our hospitals. By conducting univariate Cox regression and least absolute shrinkage and selection operator (LASSO) analyses, we identified these immune checkpoints as significant prognostic indicators. A three-immune-checkpoint genetic prognostic risk model was developed, which demonstrated different prognostic implications across different clinical subgroups. Drug sensitivity analysis revealed that BTN3A1, SIRPA, and TDO2 were correlated with the efficacy of several antineoplastic agents, including hydroxyurea and docetaxel. Validation in our clinical cohort highlighted the significant prognostic value of SIRPA, suggesting its potential as a target for immunotherapy. These findings established a framework for using immune checkpoints as prognostic biomarkers, highlighting their important role in enhancing personalized treatment strategies for OS patients.https://doi.org/10.1186/s13018-025-06171-7OsteosarcomaImmune checkpointsPrognosisImmune therapySIRPA
spellingShingle Han-jing Zhang
Zhi-Jun Yang
Wen Huang
Dan Chen
Jie Xiang
Wen-kang Chen
SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data
Journal of Orthopaedic Surgery and Research
Osteosarcoma
Immune checkpoints
Prognosis
Immune therapy
SIRPA
title SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data
title_full SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data
title_fullStr SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data
title_full_unstemmed SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data
title_short SIRPA, BTN3A1, and TDO2 in osteosarcoma: a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data
title_sort sirpa btn3a1 and tdo2 in osteosarcoma a prognostic triad with therapeutic implications from integrated genomic and pharmacogenomic data
topic Osteosarcoma
Immune checkpoints
Prognosis
Immune therapy
SIRPA
url https://doi.org/10.1186/s13018-025-06171-7
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