Evidence map›Paper›PMID 30679932›Full record

ArticleCancer cell international2019

Potential new biomarkers for endometrial cancer.

Michelle H Townsend, Zac E Ence, Abigail M Felsted, Alyssa C Parker, Stephen R Piccolo, Richard A Robison, Kim L O'Neill

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. The regulatory roles and clinical significance of glycolysis in tumor.Cancer communications (London, England) · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Role of Leptin and Adiponectin in Endometrial Cancer.International journal of molecular sciences · 2022
    Review
  14. Article
  15. Review
  16. PGK1 : An Essential Player in Modulating Tumor Metabolism.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  17. Components ofJournal of oncology · 2022
    Article
  18. Article
  19. Article
  20. 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

7 authors at 1 institution in 1 country.

Michelle H Townsend1Department of Microbiology and Molecular Biology, Brigham Young University, 3142 LSB, Provo, UT 84602 USA.
Zac E Ence2Department of Biology, Brigham Young University, Provo, UT USA.
Abigail M Felsted1Department of Microbiology and Molecular Biology, Brigham Young University, 3142 LSB, Provo, UT 84602 USA.
Alyssa C Parker2Department of Biology, Brigham Young University, Provo, UT USA.
Stephen R Piccolo2Department of Biology, Brigham Young University, Provo, UT USA.
Richard A Robison1Department of Microbiology and Molecular Biology, Brigham Young University, 3142 LSB, Provo, UT 84602 USA.
Kim L O'Neill1Department of Microbiology and Molecular Biology, Brigham Young University, 3142 LSB, Provo, UT 84602 USA.ORCID 0000-0002-8747-6217
Brigham Young University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncidence of endometrial cancer are rising both in the United States and worldwide. As endometrial cancer becomes more prominent, the need to develop and characterize biomarkers for early stage diagnosis and the treatment of endometrial cancer has become an important priority. Several biomarkers currently used to diagnose endometrial cancer are directly related to obesity. Although epigenetic and mutational biomarkers have been identified and have resulted in treatment options for patients with specific aberrations, many tumors do not harbor those specific aberrations. A promising alternative is to determine biomarkers based on differential gene expression, which can be used to estimate prognosis.

methodsWe evaluated 589 patients to determine differential expression between normal and malignant patient samples. We then supplemented these evaluations with immunohistochemistry staining of endometrial tumors and normal tissues. Additionally, we used the Library of Integrated Network-based Cellular Signatures to evaluate the effects of 1826 chemotherapy drugs on 26 cell lines to determine the effects of each drug on HPRT1 and AURKA expression.

resultsExpression of HPRT1, Jag2, AURKA, and PGK1 were elevated when compared to normal samples, and HPRT1 and PGK1 showed a stepwise elevation in expression that was significantly related to cancer grade. To determine the prognostic potential of these genes, we evaluated patient outcome and found that levels of both HPRT1 and AURKA were significantly correlated with overall patient survival. When evaluating drugs that had the most significant effect on lowering the expression of HPRT1 and AURKA, we found that Topo I and MEK inhibitors were most effective at reducing HPRT1 expression. Meanwhile, drugs that were effective at reducing AURKA expression were more diverse (MEK, Topo I, MELK, HDAC, etc.). The effects of these drugs on the expression of HPRT1 and AURKA provides insight into their role within cellular maintenance.

conclusionsCollectively, these data show that JAG2, AURKA, PGK1, and HRPT1 have the potential to be used independently as diagnostic, prognostic, or treatment biomarkers in endometrial cancer. Expression levels of these genes may provide physicians with insight into tumor aggressiveness and chemotherapy drugs that are well suited to individual patients.

Indexed as

AURKABiomarkersEndometrial cancerHPRT1JAG2PGK1

Identifiers

PMID30679932
PMCPMC6341571
OpenAlexW2918717228

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.