Predictors of survival trajectories among women with epithelial ovarian cancer.
Aged
Black People
/ statistics & numerical data
Carcinoma, Ovarian Epithelial
/ ethnology
Female
Humans
Middle Aged
Native Hawaiian or Other Pacific Islander
/ statistics & numerical data
Neoplasm Staging
Ovarian Neoplasms
/ ethnology
Prognosis
SEER Program
United States
/ epidemiology
White People
/ statistics & numerical data
Histotype
Long-term survivors
Mortality
Ovarian cancer
Journal
Gynecologic oncology
ISSN: 1095-6859
Titre abrégé: Gynecol Oncol
Pays: United States
ID NLM: 0365304
Informations de publication
Date de publication:
02 2020
02 2020
Historique:
received:
17
10
2019
revised:
06
12
2019
accepted:
07
12
2019
pubmed:
17
12
2019
medline:
6
5
2020
entrez:
17
12
2019
Statut:
ppublish
Résumé
Although ovarian cancer is a deadly disease, approximately a third of women survive ≥9 years after diagnosis. The factors associated with achieving long-term survival are not well understood. In this study, data from the Surveillance, Epidemiology, and End Results (SEER) program were used to determine predictors of survival trajectories among women with epithelial ovarian cancer and across histotype (high-grade serous carcinoma (HGSC) and non-HGSC). Data on 35,868 women diagnosed with epithelial ovarian cancer in 2004-2016 were extracted from SEER. Extended Cox proportional hazards regression was used to estimate overall and histotype-specific associations between patient and tumor characteristics and all-cause mortality within each survival time (t) interval (t < 3, 3 ≤ t < 6, 6 ≤ t < 9, and 9 ≤ t < 13 years). Age at diagnosis, marital status, race/ethnicity, stage, and surgery were more strongly associated with mortality in the short-term survival period, and these associations waned with increasing survival time. Exceptions to this pattern were age >70 years at diagnosis, where a high risk of mortality was observed in both the t < 3 and t ≥ 9 year time periods, and non-Hispanic Asian/Pacific Islanders, where a more pronounced inverse association with mortality was observed in t ≥ 9 years after diagnosis. Similar associations were observed for HGSC, although the waning effect was not apparent for most characteristics. Mortality associations for non-HGSC were more pronounced for stage and race/ethnicity, primarily for non-Hispanic Asian/Pacific Islanders. Most patient and tumor characteristics were more strongly associated with mortality in the years following diagnosis, but have declining impact with increasing survival time. Given this waning effect, it is critical to identify factors impacting risk of mortality as ovarian cancer patients advance through the survival trajectory.
Identifiants
pubmed: 31839342
pii: S0090-8258(19)31803-7
doi: 10.1016/j.ygyno.2019.12.011
pmc: PMC7771334
mid: NIHMS1653882
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
459-466Subventions
Organisme : NCI NIH HHS
ID : P30 CA076292
Pays : United States
Organisme : NCI NIH HHS
ID : R00 CA218681
Pays : United States
Informations de copyright
Copyright © 2019 Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest Dr. Sood has received research funding from M-Trap, has consulted for Merck and Kiyatec, and is a shareholder in BioPath. All other co-authors have no conflicts of interest to disclose.
Références
Pathology. 2011 Aug;43(5):420-32
pubmed: 21716157
J Natl Cancer Inst. 2013 Jan 16;105(2):141-8
pubmed: 23257159
Oncotarget. 2017 Oct 6;8(51):89040-89054
pubmed: 29179497
Oncotarget. 2017 Dec 28;9(7):7272-7273
pubmed: 29484108
J Natl Cancer Inst. 2010 Oct 20;102(20):1584-98
pubmed: 20937991
Brain Behav Immun. 2009 Feb;23(2):176-83
pubmed: 18550328
Clin Cancer Res. 2015 Feb 1;21(3):652-7
pubmed: 25398451
J Natl Cancer Inst. 2019 Jan 1;111(1):60-68
pubmed: 29718305
J Ovarian Res. 2017 Aug 22;10(1):57
pubmed: 28830564
Adv Exp Med Biol. 2008;622:53-67
pubmed: 18546618
Cancer Epidemiol Biomarkers Prev. 2017 Oct;26(10):1511-1518
pubmed: 28751475
Oncologist. 2002;7 Suppl 5:20-8
pubmed: 12324630
Cancer Epidemiol Biomarkers Prev. 2019 May;28(5):996-999
pubmed: 30967418
Genome Med. 2018 Oct 31;10(1):81
pubmed: 30382883
Obstet Gynecol. 2015 Sep;126(3):491-7
pubmed: 26244529
Lancet. 2014 Oct 11;384(9951):1376-88
pubmed: 24767708
Cancer Causes Control. 2019 Sep;30(9):967-978
pubmed: 31236792
Gynecol Oncol. 2016 Jan;140(1):42-7
pubmed: 26556769
CA Cancer J Clin. 2019 Jan;69(1):7-34
pubmed: 30620402
Gynecol Oncol. 2019 Feb;152(2):228-234
pubmed: 30471899
Gynecol Oncol. 2015 Mar;136(3):491-7
pubmed: 25455734
Brain Behav Immun. 2011 Feb;25(2):250-5
pubmed: 20955777
Stat Med. 2016 Feb 28;35(5):782-800
pubmed: 26619806
Cancer. 2005 Jul 15;104(2):305-13
pubmed: 15954082
Am J Obstet Gynecol. 2015 Apr;212(4):468.e1-9
pubmed: 25448522
Clin Cancer Res. 2016 Dec 1;22(23):5909-5914
pubmed: 27521449
Gynecol Oncol. 2014 Jul;134(1):60-7
pubmed: 24680770
Gynecol Oncol. 2017 May;145(2):329-333
pubmed: 28215839
Support Care Cancer. 2007 May;15(5):547-56
pubmed: 17177041
J Clin Oncol. 2016 Aug 20;34(24):2888-98
pubmed: 27325851
Cancer. 2017 Dec 15;123 Suppl 24:5138-5159
pubmed: 29205312
Gynecol Oncol. 2016 May;141(2):260-263
pubmed: 26968641
J Clin Oncol. 2013 Nov 1;31(31):3869-76
pubmed: 24062405
Clin Cancer Res. 2005 May 15;11(10):3686-96
pubmed: 15897565
Gynecol Oncol. 2018 Jan;148(1):204-212
pubmed: 29128106
Cancer Epidemiol Biomarkers Prev. 2019 Mar;28(3):539-545
pubmed: 30487136
J Clin Oncol. 2005 Oct 1;23(28):7105-13
pubmed: 16192594
J Clin Oncol. 2012 Aug 10;30(23):2885-90
pubmed: 22802321
Gynecol Oncol. 2018 Feb;148(2):275-280
pubmed: 29195926
J Cancer. 2018 Sep 8;9(19):3548-3556
pubmed: 30310512
JAMA Oncol. 2018 Nov 1;4(11):1519-1526
pubmed: 29860375
Int J Cancer. 2017 Jun 1;140(11):2451-2460
pubmed: 28257597
Support Care Cancer. 2016 Jun;24(6):2627-34
pubmed: 26732767
Psychooncology. 2013 Jan;22(1):83-8
pubmed: 21919121