Evidence map›Paper›PMID 17659325›Full record

ArticleGynecologic oncology2007

Development of multimarker panel for early detection of endometrial cancer. High diagnostic power of prolactin.

Zoya Yurkovetsky, Shlomo Ta'asan, Steve Skates, Alex Rand, Aleksey Lomakin, Faina Linkov, Adele Marrangoni, Lyudmila Velikokhatnaya, Matthew Winans, Elieser Gorelik and 3 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Gynecologic oncology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 112 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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

13 authors at 5 institutions in 1 country.

Zoya YurkovetskyUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, 5117 Centre Ave., Pittsburgh, PA 15213, USA.
Shlomo Ta'asan
Steve Skates
Alex Rand
Aleksey Lomakin
Faina Linkov
Adele Marrangoni
Lyudmila Velikokhatnaya
Matthew Winans
Elieser Gorelik
G Larry Maxwell
Karen Lu
Anna Lokshin
UPMC Hillman Cancer Center · USCarnegie Mellon University · USMassachusetts General Hospital · USMassachusetts Institute of Technology · USUniversity of Pittsburgh · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Urine and Serum Biomarkers for Screening and Diagnosis of Ovarian CancerR01CA108990 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2005 to 2014
$5.3M
Multiplexed Serum Biomarkers for Pancreatic CancerU01CA117452 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2005 to 2009
$2.7M
Identification of Early Markers for Ovarian CancerR01CA098642 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2003 to 2006
$1.3M
Prolactin as a risk biomarker of ovarian cancerR03CA136019 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2008 to 2009
$152k
NCATS NIH HHS UL1 TR000005NCI NIH HHS R01 CA098642NCI NIH HHS R01 CA108990NCI NIH HHS R03 CA136019NCI NIH HHS U01 CA117452
6 · The paper itself

Abstract

objectiveEndometrial carcinoma is the most common gynecologic cancer. Although the prognosis for endometrial cancer is generally good, cancers identified at late stages are associated with high levels of morbidity and mortality. Therefore, prevention and early detection may further reduce the burden of this challenging disease.

methodsA panel of 64 serum biomarkers was analyzed in sera of patients with stages I-III endometrial cancer and age-matched healthy women, utilizing a multiplex xMAP bead-based immunoassay. For multivariate analysis, four different statistical classification methods were used: logistic regression (LR), separating hyperplane (SHP), k nearest neighbors (KNN), and classification tree (CART). For each of these classifiers, a diagnostic model was created based on the cross-validation set consisting of sera from 115 patients with endometrial cancer and 135 healthy women.

resultsOur data have demonstrated that patients with endometrial cancer have significantly different expression patterns of several serum biomarkers as compared to healthy controls. Prolactin was the strongest discriminative biomarker for endometrial cancer providing 98.3% sensitivity and 98.0% specificity alone. Our results have revealed that serum concentration of cancer antigens, including CA 125, CA 15-3, and CEA are higher in patients with Stage III endometrial cancer as compared to those with Stage I. In addition, we have shown that the expression of CA 125, AFP, and ACTH is elevated in women with tumor grade 3 vs. grade 1. Furthermore, five-biomarker panel (prolactin, GH, Eotaxin, E-selectin, and TSH) identified in this study was able to discriminate endometrial cancer from ovarian and breast cancers with high sensitivity and specificity.

conclusionsThe ability of prolactin to accurately discriminate between cancer and control groups indicates that this biomarker could potentially be used for development of blood-based test for the early detection of endometrial cancer in high-risk populations. Combining the information on multiple serum markers using flexible statistical methods allows for achieving high cancer selectivity.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorBlood ProteinsEndometrial NeoplasmsFemaleHumansImmunoassayMiddle AgedProlactinSensitivity and SpecificityBiomarkers, TumorBlood ProteinsProlactin

Identifiers

PMID17659325
PMCPMC2777971
OpenAlexW2157368620

What OpenQuestion holds

Textmetadata
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.