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1.
Ann Surg Oncol ; 29(1): 522-532, 2022 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-34409543

RESUMEN

BACKGROUND: Radiation-associated angiosarcoma (RAAS) of the breast is an aggressive malignancy affecting 1 in 1000 breast cancer patients. This study aimed to determine differences in treatments and outcomes for RAAS initially managed through a sarcoma multi-disciplinary team (SMDT) compared with an outside center (OC) and to describe outcomes after recurrence. METHODS: Patients with a diagnosis of breast RAAS between 2004 and 2019 were identified from our sarcoma database. Clinicopathologic characteristics, recurrence patterns, and factors predictive of survival were assessed. Differences in local recurrence-free survival (LRFS) and disease-specific survival (DSS) were estimated using Kaplan-Meier and compared using the log-rank test. RESULTS: Surgery was performed for 49 women with RAAS, who had a median age of 74 years (range 41-89 years). Primary management was performed by SMDT for 26 patients and by OC for 23 patients. Radical mastectomy and reconstruction were performed for 96% of the SMDT group versus 17% of the OC group (p = 0.00001). The proportion patients who received chemotherapy, radiation, or both was 42.3% in the SMDT group and 0% in the OC group. During a median follow-up period of 26 months, recurrence was experienced by 38% (10/26) of the SMDT cohort and 83% (19/23) of the OC cohort (p = 0.002). The 3-year LRFS was better in the SMDT cohort (59.3% vs 31.8%; p = 0.019). Of the 29 recurrences 16 received chemotherapy and 6 received radiation, surgery, or both. At the last follow-up visit, 20 patients were in first remission, 1 patient was in second remission, 8 patients were alive with disease, and 20 patients had died of disease. CONCLUSION: Initial treatment by SMDT was associated with more extensive surgery, multimodal treatments, and a better 3-year LRFS. Patients with breast RAAS likely benefit from early referral and treatment by an SMDT.


Asunto(s)
Neoplasias de la Mama , Hemangiosarcoma , Adulto , Anciano , Anciano de 80 o más Años , Neoplasias de la Mama/terapia , Femenino , Hemangiosarcoma/etiología , Hemangiosarcoma/terapia , Humanos , Estudios Interdisciplinarios , Mastectomía , Persona de Mediana Edad
3.
Nat Commun ; 12(1): 4496, 2021 07 23.
Artículo en Inglés | MEDLINE | ID: mdl-34301934

RESUMEN

Leiomyosarcomas (LMS) are genetically heterogeneous tumors differentiating along smooth muscle lines. Currently, LMS treatment is not informed by molecular subtyping and is associated with highly variable survival. While disease site continues to dictate clinical management, the contribution of genetic factors to LMS subtype, origins, and timing are unknown. Here we analyze 70 genomes and 130 transcriptomes of LMS, including multiple tumor regions and paired metastases. Molecular profiling highlight the very early origins of LMS. We uncover three specific subtypes of LMS that likely develop from distinct lineages of smooth muscle cells. Of these, dedifferentiated LMS with high immune infiltration and tumors primarily of gynecological origin harbor genomic dystrophin deletions and/or loss of dystrophin expression, acquire the highest burden of genomic mutation, and are associated with worse survival. Homologous recombination defects lead to genome-wide mutational signatures, and a corresponding sensitivity to PARP trappers and other DNA damage response inhibitors, suggesting a promising therapeutic strategy for LMS. Finally, by phylogenetic reconstruction, we present evidence that clones seeding lethal metastases arise decades prior to LMS diagnosis.


Asunto(s)
Perfilación de la Expresión Génica/métodos , Regulación Neoplásica de la Expresión Génica , Predisposición Genética a la Enfermedad/genética , Genómica/métodos , Leiomiosarcoma/genética , Músculo Liso/metabolismo , Adulto , Anciano , Anciano de 80 o más Años , Evolución Clonal , Estudios de Cohortes , Femenino , Humanos , Leiomiosarcoma/clasificación , Leiomiosarcoma/diagnóstico , Masculino , Persona de Mediana Edad , Músculo Liso/patología , Mutación , RNA-Seq/métodos , Análisis de Supervivencia
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