SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary Sarcoma

Objective: Primary pulmonary sarcoma (PPS) is very rare in terms of incidence, henceforth, the clinical evidence pertinent to the prognosis of PPS is limited. The aim of this study was to construct a nomogram for evaluating the overall survival (OS) of patients diagnosed with PPS based on the stage,...

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Main Authors: Hao Gu MD, Ruixia Song MS, Narasimha M. Beeraka MRes, PhD, Tingxuan Li MS, Di Zhao MD, Junqi Liu MD, PhD, Ruitai Fan MD, PhD
Format: Article
Language:English
Published: SAGE Publishing 2023-02-01
Series:Technology in Cancer Research & Treatment
Online Access:https://doi.org/10.1177/15330338221150732
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author Hao Gu MD
Ruixia Song MS
Narasimha M. Beeraka MRes, PhD
Tingxuan Li MS
Di Zhao MD
Junqi Liu MD, PhD
Ruitai Fan MD, PhD
author_facet Hao Gu MD
Ruixia Song MS
Narasimha M. Beeraka MRes, PhD
Tingxuan Li MS
Di Zhao MD
Junqi Liu MD, PhD
Ruitai Fan MD, PhD
author_sort Hao Gu MD
collection DOAJ
description Objective: Primary pulmonary sarcoma (PPS) is very rare in terms of incidence, henceforth, the clinical evidence pertinent to the prognosis of PPS is limited. The aim of this study was to construct a nomogram for evaluating the overall survival (OS) of patients diagnosed with PPS based on the stage, lymph node dissection, tumor size and degree of differentiation, and therapies. Methods: A total of 515 patients diagnosed with PPS during the period of 1998 to 2015 were obtained from the surveillance, epidemiology, and end results database and randomly segregated into ‘training group’ and ‘validation group’ with a ratio of 7:3. Regression analysis was executed for the training group to obtain the independent factors influencing prognosis of PPS patients. A nomogram was constructed as per the results obtained through multivariate Cox regression analysis subsequently validated using C index, receiver operating characteristic (ROC) curve, and calibration curves. Results: Age, tumor size, histology type, lymph node surgery, summary stage and differentiation grade were independent factors affecting the prognosis. C index was 0.775 and 0.737 for both training group, and validation group, respectively. Areas under the ROC curve of 1-year, 3-year, and 5-year OS were 87.6 (95% CI: 83.8-91.3), 90.1 (95% CI: 86.2-94.0) and 90.6 (95% CI: 85.8-95.4), respectively, in training group. Area under the curve values of 1-year, 3-year, and 5-year OS in the validation group were 83.1 (95% CI: 75.8-90.5), 82.9 (95% CI: 73.2-92.7) and 87.0 (95% CI: 75.9-98.1), respectively. Based on the nomogram, patients were segregated into low-risk group and high-risk group (degree of risk: cutoff score 193). OS of low-risk group was significantly higher when compared to high-risk group ( P < .001) in the training group and validation group. Radiotherapy was a risk factor for the low-risk group and adjuvant chemotherapy has not exhibited influence on OS pertinent to low-risk group. However, adjuvant radiotherapy or chemotherapy both significantly improved the prognosis of PPS patients ( P < .001) in the high-risk group. Conclusion: Constructed nomogram could have a strong predictive ability with higher accuracy for the prognosis of patients with PPS. Patients at low risk could not benefit from adjuvant radiotherapy or chemotherapy, while the prognosis clearly improved in the high-risk populations treated with either radiotherapy or chemotherapy.
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spelling doaj.art-054e9922b03944a682c756f21aef4cbb2023-05-05T08:33:19ZengSAGE PublishingTechnology in Cancer Research & Treatment1533-03382023-02-012210.1177/15330338221150732SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary SarcomaHao Gu MD0Ruixia Song MS1Narasimha M. Beeraka MRes, PhD2Tingxuan Li MS3Di Zhao MD4Junqi Liu MD, PhD5Ruitai Fan MD, PhD6 , Zhengzhou, China , Zhengzhou, China JSS College of Pharmacy, JSS Academy of Higher Education and Research (JSS AHER), Mysuru, Karnataka, India , Zhengzhou, China , Zhengzhou, China , Zhengzhou, China , Zhengzhou, ChinaObjective: Primary pulmonary sarcoma (PPS) is very rare in terms of incidence, henceforth, the clinical evidence pertinent to the prognosis of PPS is limited. The aim of this study was to construct a nomogram for evaluating the overall survival (OS) of patients diagnosed with PPS based on the stage, lymph node dissection, tumor size and degree of differentiation, and therapies. Methods: A total of 515 patients diagnosed with PPS during the period of 1998 to 2015 were obtained from the surveillance, epidemiology, and end results database and randomly segregated into ‘training group’ and ‘validation group’ with a ratio of 7:3. Regression analysis was executed for the training group to obtain the independent factors influencing prognosis of PPS patients. A nomogram was constructed as per the results obtained through multivariate Cox regression analysis subsequently validated using C index, receiver operating characteristic (ROC) curve, and calibration curves. Results: Age, tumor size, histology type, lymph node surgery, summary stage and differentiation grade were independent factors affecting the prognosis. C index was 0.775 and 0.737 for both training group, and validation group, respectively. Areas under the ROC curve of 1-year, 3-year, and 5-year OS were 87.6 (95% CI: 83.8-91.3), 90.1 (95% CI: 86.2-94.0) and 90.6 (95% CI: 85.8-95.4), respectively, in training group. Area under the curve values of 1-year, 3-year, and 5-year OS in the validation group were 83.1 (95% CI: 75.8-90.5), 82.9 (95% CI: 73.2-92.7) and 87.0 (95% CI: 75.9-98.1), respectively. Based on the nomogram, patients were segregated into low-risk group and high-risk group (degree of risk: cutoff score 193). OS of low-risk group was significantly higher when compared to high-risk group ( P < .001) in the training group and validation group. Radiotherapy was a risk factor for the low-risk group and adjuvant chemotherapy has not exhibited influence on OS pertinent to low-risk group. However, adjuvant radiotherapy or chemotherapy both significantly improved the prognosis of PPS patients ( P < .001) in the high-risk group. Conclusion: Constructed nomogram could have a strong predictive ability with higher accuracy for the prognosis of patients with PPS. Patients at low risk could not benefit from adjuvant radiotherapy or chemotherapy, while the prognosis clearly improved in the high-risk populations treated with either radiotherapy or chemotherapy.https://doi.org/10.1177/15330338221150732
spellingShingle Hao Gu MD
Ruixia Song MS
Narasimha M. Beeraka MRes, PhD
Tingxuan Li MS
Di Zhao MD
Junqi Liu MD, PhD
Ruitai Fan MD, PhD
SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary Sarcoma
Technology in Cancer Research & Treatment
title SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary Sarcoma
title_full SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary Sarcoma
title_fullStr SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary Sarcoma
title_full_unstemmed SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary Sarcoma
title_short SEER-Based Survival Nomogram (1998-2015) Based on ‘Stage, Lymph Node Dissection, Tumor Size and Degree of Differentiation, and Therapies’ for Prognosis of Primary Pulmonary Sarcoma
title_sort seer based survival nomogram 1998 2015 based on stage lymph node dissection tumor size and degree of differentiation and therapies for prognosis of primary pulmonary sarcoma
url https://doi.org/10.1177/15330338221150732
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