Blood steroid levels predict survival in endometrial cancer and reflect tumor estrogen signaling.


Journal

Gynecologic oncology
ISSN: 1095-6859
Titre abrégé: Gynecol Oncol
Pays: United States
ID NLM: 0365304

Informations de publication

Date de publication:
02 2020
Historique:
received: 25 10 2019
revised: 28 11 2019
accepted: 29 11 2019
pubmed: 10 12 2019
medline: 6 5 2020
entrez: 10 12 2019
Statut: ppublish

Résumé

Blood-based biomarkers are attractive due to ease of sampling and standardized measurement technology, reducing obstacles to clinical implementation. The objective of this study was to evaluate a clinically available method of steroid hormone measurement for its prognostic potential in endometrial cancer. We quantified seven steroid hormones by liquid chromatography-tandem mass spectrometry in 100 endometrial cancer patients from a prospective cohort. Abdominal fat distribution was assessed from abdominal computed tomography (CT) scans. Steroid hormone levels were compared to clinical characteristics, fat distribution and gene expression in primary tumor samples. Low levels of 17OH-progesterone, 11-deoxycortisol and androstenedione were associated with aggressive tumor characteristics and poor disease specific survival (p = .003, p = .001 and p = .02 respectively). Adjusting for preoperative risk based on histological type and grade, low 17OH-progesterone and 11-deoxycortisol independently predicted poor outcome with hazard ratios of 2.69 (p = .033, 95%CI: 1.09-6.68) and 3.40 (p = .020, 1.21-9.51), respectively. Tumors from patients with low steroid level displayed increased expression of genes related to mitosis and cell cycle progression, whereas high steroid level was associated with upregulated estrogen signaling and genes associated with inflammation. Estrone and estradiol correlated to abdominal fat volume in all compartments (total, visceral, subcutaneous, p < .001 for all), but not to the visceral fat proportion. Patients with higher levels of circulating estrogens had increased expression of estrogen signaling related genes. Low levels of certain endogenous steroids are associated with aggressive tumor traits and poor survival and may provide preoperative information independent of histological biomarkers already in use.

Identifiants

pubmed: 31813586
pii: S0090-8258(19)31782-2
doi: 10.1016/j.ygyno.2019.11.123
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
Estrogens 0
RNA, Messenger 0
Estrone 2DI9HA706A
Androstenedione 409J2J96VR
Estradiol 4TI98Z838E
17-alpha-Hydroxyprogesterone 68-96-2
Cortodoxone WDT5SLP0HQ

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

400-406

Informations de copyright

Copyright © 2019. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest There are no conflicts of interest to disclose.

Auteurs

D Forsse (D)

Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway.

I L Tangen (IL)

Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway.

K E Fasmer (KE)

Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.

M K Halle (MK)

Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway.

K Viste (K)

The Hormone Laboratory, Haukeland University Hospital, Bergen, Norway.

B Almås (B)

The Hormone Laboratory, Haukeland University Hospital, Bergen, Norway.

B-E Bertelsen (BE)

The Hormone Laboratory, Haukeland University Hospital, Bergen, Norway.

J Trovik (J)

Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway.

I S Haldorsen (IS)

Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway.

C Krakstad (C)

Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway; Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway. Electronic address: camilla.krakstad@uib.no.

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Classifications MeSH