Angiosarcoma arising in massive localized lymphedema

Dyroff, Samantha; Layfield, Lester J.; Crim, Julia R.

doi:10.1007/s00256-020-03373-4

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…The related pathogenic factors of STS include high BMI (BMI ≥ 28), trauma history, limb disuse, radiotherapy history, malignancy history, and so on. 13 , 14 , 15 , 16 STS was most commonly reported on a unilateral upper extremity, and a few were on a lower extremity. The average time from limb swelling to malignancy ranges from a few months to several years, even decades.…”

Section: Discussionmentioning

confidence: 99%

A retrospective analysis of Stewart-Treves syndrome in the context of chronic lymphedema

Hao¹,

Sun²,

Zhu³

et al. 2023

Anais Brasileiros de Dermatologia

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Section: Discussionmentioning

confidence: 99%

A retrospective analysis of Stewart-Treves syndrome in the context of chronic lymphedema

Hao¹,

Sun²,

Zhu³

et al. 2023

Anais Brasileiros de Dermatologia

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“…Still, there were some important clinical variables not available in the SEER database such as chronic lymphedema history, smoking or alcohol drinking habits. Research has reported people having smoking habit or suffering from chronic lymphedema were more susceptible to AS 12 , 20 . Additionally, specific genes mutation acted oncogenic roles in AS 21 , 22 while the SEER database did not contain genetic testing information so we are unable to evaluate these effects.…”

Section: Discussionmentioning

confidence: 99%

Prognostic nomograms for predicting overall survival and cancer-specific survival in patients with angiosarcoma, a SEER population-based study

Jiang

Shao

et al. 2022

Sci Rep

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Angiosarcoma (AS) is a kind of highly aggressive cancer with high occurrence and mortality rates. This study aimed to establish a comprehensive and validated prognostic nomogram with various clinical indicators in non-metastatic AS patients after surgery. Data of non-metastatic AS patients diagnosed after surgery between 2010 and 2015 was retrieved from the surveillance epidemiology and end results database. Univariate and multivariate Cox proportional hazards regression analysis were performed to identify the independent prognostic factors associated with survival to construct the predictive nomogram of 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) rates. Concordance-index (C-index), calibration plots and receiver operating characteristic (ROC) curves were applied to evaluate the predictive ability of the nomograms. 251 patients in total were divided into the training group (N = 177) and the validation group (N = 74). After the multivariate Cox regression analysis, gender, AJCC stage group 7th ed, T, N stage 7th ed, histologic grade and primary site were statistically identified as independent factors with OS and CSS (P < 0.05). We incorporated the significant factors above and age into nomograms. The C-index of the nomograms for OS and CCS in the training cohort was 0.757 (95%CI 0.697–0.817) and 0.762 (95%CI 0.702–0.822), meanwhile, the C-index of those in the validation cohort was 0.749 (95%CI 0.668–0.830) and 0.756 (95%CI 0.676–0.836) respectively. The results of calibration plots and ROC curve showed the nomograms qualified to measure the risk and prognosis. Our study has developed novel and practical nomograms for predicting prognosis in patients with non-metastatic AS after surgery contributing to cancer management.

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“…Still, there were some important clinical variables not available in the SEER database such as chronic lymphedema history, smoking or alcohol drinking habits. Research has reported people having smoking habit or suffering from chronic lymphedema were more susceptible to AS 10,20 . Additionally, speci c genes mutation acted oncogenic roles in AS 21,22 while the SEER database did not contain genetic testing information so we are unable to evaluate these effects.…”

Section: Discussionmentioning

confidence: 99%

Prognostic Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Patients with Angiosarcoma, a SEER population-based study

Jiang¹,

Ye²,

Shao³

et al. 2021

Preprint

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Backgrounds: Angiosarcoma (AS) is a kind of highly aggressive cancer with high occurrence and mortality rates. This study aimed to establish a comprehensive and validated prognostic nomogram with various clinical indicators in patients with AS.Methods: Data of patients with AS diagnosed after surgery between 2010 and 2015 was retrieved from the Surveillance Epidemiology and End Results (SEER) database. Univariate and multivariate Cox proportional hazards regression analysis were performed to identify the independent prognostic factors associated with survival to construct the predictive nomogram of 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) rates. Concordance-index(C-index), calibration plots and receiver operating characteristic (ROC) curves were applied to evaluate the predictive ability of the nomograms. The further decision curve analysis (DCA) was drawn to confirm the clinical usefulness of the nomograms.Results: 323 patients in total with AS were divided into the training group (N =226) and the validation group (N = 97). After the multivariate Cox regression analysis, gender, age, AJCC stage group 7th ed, T, N and M stage 7th ed, histologic grade and primary site were statistically identified as independent factors with OS and CSS (P<0.05). The C-index of the nomograms for OS and CCS in the training cohort was 0.760 (95%CI: 0.674–0.847) and 0.793 (95%CI: 0.687–0.898), meanwhile, the C-index of those in the validation cohort was 0.790 (95%CI: 0.725–0.855) and 0.888 (95%CI: 0.799–0.976) respectively. The results of calibration plots and ROC curve showed the nomograms qualified to measure the risk and prognosis. DCA exhibited good clinical utility of nomograms.Conclusion: Our study has developed novel and practical nomograms for predicting prognosis in patients with AS contributing to cancer management.

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Angiosarcoma arising in massive localized lymphedema

Cited by 4 publications

References 24 publications

A retrospective analysis of Stewart-Treves syndrome in the context of chronic lymphedema

A retrospective analysis of Stewart-Treves syndrome in the context of chronic lymphedema

Prognostic nomograms for predicting overall survival and cancer-specific survival in patients with angiosarcoma, a SEER population-based study

Prognostic Nomograms for Predicting Overall Survival and Cancer-Specific Survival in Patients with Angiosarcoma, a SEER population-based study

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