Treatment patterns and outcomes among women with brain metastases from gynecologic malignancies.

Brain metastasis Stereotactic radiosurgery Whole brain radiation therapy

Journal

Gynecologic oncology reports
ISSN: 2352-5789
Titre abrégé: Gynecol Oncol Rep
Pays: Netherlands
ID NLM: 101652231

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 25 08 2020
revised: 22 10 2020
accepted: 25 10 2020
entrez: 18 11 2020
pubmed: 19 11 2020
medline: 19 11 2020
Statut: epublish

Résumé

Brain metastasis secondary to gynecologic malignancy is rare and has no definitive management guidelines. In this descriptive study, we aimed to identify prognostic factors and treatments that may be associated with longer overall survival. Patients with brain metastases from gynecologic malignancies were identified between 2004 and 2019 at two institutions. Descriptive statistics were performed using N (%) and median (interquartile range). Univariate cox proportional hazards regression was performed to evaluate the effect of different factors on overall survival. 32 patients presented with brain metastasis from gynecologic primaries (ovarian/fallopian tube/primary peritoneal n = 14, uterine n = 11, cervical n = 7). Median age of initial cancer diagnosis was 61 (34-79). At initial cancer diagnosis 83% of patients were Stage III/IV and underwent surgery (66%), chemotherapy (100%), and/or pelvic radiation (33%). Median time from initial cancer diagnosis to brain metastasis was 18 months. Treatment of brain metastasis with surgery and radiation compared to stereotactic radiosurgery or whole brain radiation therapy alone revealed a trend toward longer overall survival (p = 0.07). Time from initial cancer diagnosis to brain metastasis was associated with longer overall survival with each one-month increase from initial cancer diagnosis associated with a 7% reduction in risk of death (HR 0.93, 95% CI = 0.89-0.97, p = 0.01). Initial cancer treatment, stage, histology, and number of brain lesions did not affect overall survival. Patients with brain metastasis secondary to gynecologic malignancies with the longest overall survival had the greatest lag time between initial cancer diagnosis and brain metastasis. Brain metastasis treated with surgery and radiation was associated with longer overall survival.

Sections du résumé

BACKGROUND BACKGROUND
Brain metastasis secondary to gynecologic malignancy is rare and has no definitive management guidelines. In this descriptive study, we aimed to identify prognostic factors and treatments that may be associated with longer overall survival.
METHODS METHODS
Patients with brain metastases from gynecologic malignancies were identified between 2004 and 2019 at two institutions. Descriptive statistics were performed using N (%) and median (interquartile range). Univariate cox proportional hazards regression was performed to evaluate the effect of different factors on overall survival.
RESULTS RESULTS
32 patients presented with brain metastasis from gynecologic primaries (ovarian/fallopian tube/primary peritoneal n = 14, uterine n = 11, cervical n = 7). Median age of initial cancer diagnosis was 61 (34-79). At initial cancer diagnosis 83% of patients were Stage III/IV and underwent surgery (66%), chemotherapy (100%), and/or pelvic radiation (33%). Median time from initial cancer diagnosis to brain metastasis was 18 months. Treatment of brain metastasis with surgery and radiation compared to stereotactic radiosurgery or whole brain radiation therapy alone revealed a trend toward longer overall survival (p = 0.07). Time from initial cancer diagnosis to brain metastasis was associated with longer overall survival with each one-month increase from initial cancer diagnosis associated with a 7% reduction in risk of death (HR 0.93, 95% CI = 0.89-0.97, p = 0.01). Initial cancer treatment, stage, histology, and number of brain lesions did not affect overall survival.
CONCLUSIONS CONCLUSIONS
Patients with brain metastasis secondary to gynecologic malignancies with the longest overall survival had the greatest lag time between initial cancer diagnosis and brain metastasis. Brain metastasis treated with surgery and radiation was associated with longer overall survival.

Identifiants

pubmed: 33204795
doi: 10.1016/j.gore.2020.100664
pii: S2352-5789(20)30130-2
pmc: PMC7649617
doi:

Types de publication

Case Reports

Langues

eng

Pagination

100664

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR002384
Pays : United States

Informations de copyright

© 2020 The Authors.

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Auteurs

Kristen Cagino (K)

Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Ryan Kahn (R)

Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Susan Pannullo (S)

Department of Neurological Surgery, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Hani Ashamalla (H)

Department of Radiation Oncology, New York Presbyterian Brooklyn Methodist Hospital, New York, NY, USA.

Susie Chan (S)

Department of Radiation Oncology, New York Presbyterian Brooklyn Methodist Hospital, New York, NY, USA.

Onyinye Balogun (O)

Department of Radiation Oncology, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Charlene Thomas (C)

Department of Population Health Sciences, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Paul J Christos (PJ)

Department of Population Health Sciences, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Kevin Holcomb (K)

Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Melissa K Frey (MK)

Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Eloise Chapman-Davis (E)

Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, New York Presbyterian Weill Cornell Medical Center, New York, NY, USA.

Classifications MeSH