Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India
PURPOSEOutcomes of adolescents and young adults (AYA) with bone sarcomas including osteosarcoma (OGS) and Ewing sarcoma (ES) are affected by various factors including inadvertent previous treatment and poor compliance. We aimed to develop a risk-scoring system derived and validated at a tertiary car...
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American Society of Clinical Oncology
2025-02-01
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| Series: | JCO Global Oncology |
| Online Access: | https://ascopubs.org/doi/10.1200/GO.24.00142 |
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| author | Jyoti Bajpai Laboni Sarkar Sushmita Rath Akash Pawar Arun Chandrashekharan Goutam Panda Dharmpal Jakar Jaya Ghosh Siddhartha Laskar Bharat Rekhi Nehal Khanna Jifmi Jose Mukta Ramdawar Nilendu Purandare Prabhat Bhargava Nivedita Chakrabarty Kunal Gala Yogesh Kembhavi Venkatesh Rangarajan Shripad Banavali Sudeep Gupta |
| author_facet | Jyoti Bajpai Laboni Sarkar Sushmita Rath Akash Pawar Arun Chandrashekharan Goutam Panda Dharmpal Jakar Jaya Ghosh Siddhartha Laskar Bharat Rekhi Nehal Khanna Jifmi Jose Mukta Ramdawar Nilendu Purandare Prabhat Bhargava Nivedita Chakrabarty Kunal Gala Yogesh Kembhavi Venkatesh Rangarajan Shripad Banavali Sudeep Gupta |
| author_sort | Jyoti Bajpai |
| collection | DOAJ |
| description | PURPOSEOutcomes of adolescents and young adults (AYA) with bone sarcomas including osteosarcoma (OGS) and Ewing sarcoma (ES) are affected by various factors including inadvertent previous treatment and poor compliance. We aimed to develop a risk-scoring system derived and validated at a tertiary care cancer center in India.METHODSAll AYA OGS and ES cases treated at our institute with OGS-12 and Ewing’s family of tumors-2001 (EFT-2001) protocols from 2011 to 2021 and 2013 to 2018, respectively, were prospectively analyzed. Weighted scores provided to each prognostic variable on the basis of approximate ratios of the beta coefficients of each factor in the multivariable model were summated to divide patients into three clinically discriminatory risk groups, validated by applying separately to derivation, validation, and whole cohorts.RESULTSAmong 606 (81.0%) of 748 AYA with nonmetastatic OGS, significant factors included in the prognostic model were failure to complete protocol (hazard ratio [HR], 2.65), previous treatment (HR, 2.93), necrosis <90% (HR, 1.63), joint involvement (HR, 2.0), and serum alkaline phosphatase >median (204 U/L; HR, 1.63). Of 104 (39.5%) of 263 AYA with ES, significant factors were failure to complete protocol (HR, 2.84), previous treatment (HR, 6.37), necrosis <100% (HR, 8.73), and tumor size >8 cm (HR, 2.64). For 142 (38.8%) of 366 AYA with metastatic OGS, significant factors were failure to complete protocol (HR, 5.29), metastases not amenable to local treatment (HR, 1.96), necrosis <90% (HR, 1.96), and >10 metastases (HR, 2.44). For 38 (43.6%) of 82 AYA with metastatic extremity ES, significant factors were failure to complete protocol (HR, 3.88) and metastases not amenable to local treatment (HR, 10.6).CONCLUSIONWe developed simple, effective prognostic models for AYA with bone sarcomas with specific potential relevance for low- and middle-income countries. |
| format | Article |
| id | doaj-art-ed50965d73524ee18515154eb5180e9e |
| institution | Kabale University |
| issn | 2687-8941 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | American Society of Clinical Oncology |
| record_format | Article |
| series | JCO Global Oncology |
| spelling | doaj-art-ed50965d73524ee18515154eb5180e9e2025-02-06T20:59:09ZengAmerican Society of Clinical OncologyJCO Global Oncology2687-89412025-02-011110.1200/GO.24.00142Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in IndiaJyoti Bajpai0Laboni Sarkar1Sushmita Rath2Akash Pawar3Arun Chandrashekharan4Goutam Panda5Dharmpal Jakar6Jaya Ghosh7Siddhartha Laskar8Bharat Rekhi9Nehal Khanna10Jifmi Jose11Mukta Ramdawar12Nilendu Purandare13Prabhat Bhargava14Nivedita Chakrabarty15Kunal Gala16Yogesh Kembhavi17Venkatesh Rangarajan18Shripad Banavali19Sudeep Gupta20Department of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Biostatistics, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Pathology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Radiation Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Pathology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Nuclear Medicine, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Radiodiagnosis, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Radiodiagnosis, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Nuclear Medicine, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaDepartment of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai, IndiaPURPOSEOutcomes of adolescents and young adults (AYA) with bone sarcomas including osteosarcoma (OGS) and Ewing sarcoma (ES) are affected by various factors including inadvertent previous treatment and poor compliance. We aimed to develop a risk-scoring system derived and validated at a tertiary care cancer center in India.METHODSAll AYA OGS and ES cases treated at our institute with OGS-12 and Ewing’s family of tumors-2001 (EFT-2001) protocols from 2011 to 2021 and 2013 to 2018, respectively, were prospectively analyzed. Weighted scores provided to each prognostic variable on the basis of approximate ratios of the beta coefficients of each factor in the multivariable model were summated to divide patients into three clinically discriminatory risk groups, validated by applying separately to derivation, validation, and whole cohorts.RESULTSAmong 606 (81.0%) of 748 AYA with nonmetastatic OGS, significant factors included in the prognostic model were failure to complete protocol (hazard ratio [HR], 2.65), previous treatment (HR, 2.93), necrosis <90% (HR, 1.63), joint involvement (HR, 2.0), and serum alkaline phosphatase >median (204 U/L; HR, 1.63). Of 104 (39.5%) of 263 AYA with ES, significant factors were failure to complete protocol (HR, 2.84), previous treatment (HR, 6.37), necrosis <100% (HR, 8.73), and tumor size >8 cm (HR, 2.64). For 142 (38.8%) of 366 AYA with metastatic OGS, significant factors were failure to complete protocol (HR, 5.29), metastases not amenable to local treatment (HR, 1.96), necrosis <90% (HR, 1.96), and >10 metastases (HR, 2.44). For 38 (43.6%) of 82 AYA with metastatic extremity ES, significant factors were failure to complete protocol (HR, 3.88) and metastases not amenable to local treatment (HR, 10.6).CONCLUSIONWe developed simple, effective prognostic models for AYA with bone sarcomas with specific potential relevance for low- and middle-income countries.https://ascopubs.org/doi/10.1200/GO.24.00142 |
| spellingShingle | Jyoti Bajpai Laboni Sarkar Sushmita Rath Akash Pawar Arun Chandrashekharan Goutam Panda Dharmpal Jakar Jaya Ghosh Siddhartha Laskar Bharat Rekhi Nehal Khanna Jifmi Jose Mukta Ramdawar Nilendu Purandare Prabhat Bhargava Nivedita Chakrabarty Kunal Gala Yogesh Kembhavi Venkatesh Rangarajan Shripad Banavali Sudeep Gupta Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India JCO Global Oncology |
| title | Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India |
| title_full | Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India |
| title_fullStr | Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India |
| title_full_unstemmed | Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India |
| title_short | Prognostic Modeling for Bone Sarcomas Based on a Large Prospective Cohort From a Tertiary Care Cancer Center in India |
| title_sort | prognostic modeling for bone sarcomas based on a large prospective cohort from a tertiary care cancer center in india |
| url | https://ascopubs.org/doi/10.1200/GO.24.00142 |
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