Evidence map›Paper›PMID 32769047›Full record

ArticleJournal of chromatography. B, Analytical technologies in the biomedical and life sciences2020

LC-HRMS of derivatized urinary estrogens and estrogen metabolites in postmenopausal women.

Lancia N F Darville, Jayden K Cline, Carrie Rozmeski, Yessica C Martinez, Shannan Rich, Steven A Eschrich, Kathleen M Egan, Lusine Yaghjyan, John M Koomen

Open access · greenAbstract read
In one paragraph

Article in Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Circulating Estrogen Metabolites and Risk of Breast Cancer among Postmenopausal Women in the Nurses' Health Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Lancia N F DarvilleH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States. Electronic address: Lancia.Darville@moffitt.org.
Jayden K ClineH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Carrie RozmeskiH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Yessica C MartinezH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Shannan RichUniversity of Florida, Gainesville, FL, United States.
Steven A EschrichH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Kathleen M EganH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States. Electronic address: Kathleen.Egan@moffitt.org.
Lusine YaghjyanUniversity of Florida, Gainesville, FL, United States.
John M KoomenH. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, United States.
Moffitt Cancer Center · USUniversity of Florida · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

In order to undertake an epidemiologic study relating levels of parent estrogens (estrone and estradiol) and estrogen metabolites (EMs) to other breast cancer risk factors, we have optimized methods for EM quantification with ultra high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS). A two-step approach was adopted; the first step comprised method development and evaluation of the method performance. The second step consisted of applying this method to quantify estrogens in postmenopausal women and determine if the observed patterns are consistent with the existing literature and prior knowledge of estrogen metabolism. First, 1-methylimidazole-2-sulfonyl chloride (MIS) was used to derivatize endogenous estrogens and estrogen metabolites in urine from study participants. Since C18 reversed phase columns have not been able to separate all the structurally related EMs, we used a C18-pentafluorophenyl (PFP) column. The parent estrogens and EMs were baseline resolved with distinct retention times on this C18-PFP column using a 30 min gradient. This method was used to quantify the parent estrogens and 13 EMs in urine samples collected in an initial pilot study involving males as well as pre- and peri-menopausal females to assess a range of EM levels in urine samples and enable comparison to the previous literature for assay evaluation. Detection limits ranged from 1 - 20 pg/mL depending on the EM. We evaluated matrix effects and interference as well as the intra- and inter-batch reproducibility including hydrolysis, extraction, derivatization and LC-MS analysis using charcoal-stripped human urine as a matrix. Methods were then applied to the measurement of estrogens in urine samples from 169 postmenopausal women enrolled in an epidemiological study to examine relationships between breast cancer risk, the intestinal microbiome, and urinary EMs. The results from our cohort are comparable to previous reports on urinary EMs in postmenopausal women and enabled thorough evaluation of the method.

Indexed as

Chromatography, High Pressure LiquidEstrogensFemaleHumansLinear ModelsMaleMass SpectrometryPilot ProjectsPostmenopauseReproducibility of ResultsSensitivity and SpecificityEstrogensDerivatizationEstrogensLiquid chromatography-high resolution mass spectrometryMetabolites

Identifiers

PMID32769047
PMCPMC7882395
OpenAlexW3045794725

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.