Evidence map›Paper›PMID 26026368›Full record

ArticleMolecular oncology2015

High level PHGDH expression in breast is predominantly associated with keratin 5-positive cell lineage independently of malignancy.

Irina Gromova, Pavel Gromov, Naoko Honma, Sudha Kumar, David Rimm, Maj-Lis Møller Talman, Vera Timmermans Wielenga, José M A Moreira

Open access · greenAbstract read
In one paragraph

Article in Molecular oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Review
  6. Article
  7. Article
  8. 3-Phosphoglycerate dehydrogenase: a potential target for cancer treatment.Cellular oncology (Dordrecht, Netherlands) · 2021
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. The Role of D-3-Phosphoglycerate Dehydrogenase in Cancer.International journal of biological sciences · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  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

8 authors at 5 institutions in 3 countries.

Irina GromovaCancer Proteomics, Genome Integrity Unit, Danish Cancer Society Research Center, Copenhagen, Denmark; Danish Centre for Translational Breast Cancer Research (DCTB), Copenhagen, Denmark.
Pavel GromovCancer Proteomics, Genome Integrity Unit, Danish Cancer Society Research Center, Copenhagen, Denmark; Danish Centre for Translational Breast Cancer Research (DCTB), Copenhagen, Denmark.
Naoko HonmaResearch Team for Geriatric Pathology, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Sudha KumarDepartment of Pathology, Yale University Medical School, New Haven, USA.
David RimmDepartment of Pathology, Yale University Medical School, New Haven, USA.
Maj-Lis Møller TalmanDepartment of Pathology, The Centre of Diagnostic Investigations, Copenhagen University Hospital, Denmark.
Vera Timmermans WielengaDepartment of Pathology, The Centre of Diagnostic Investigations, Copenhagen University Hospital, Denmark.
José M A MoreiraDanish Centre for Translational Breast Cancer Research (DCTB), Copenhagen, Denmark; Section for Molecular Disease Biology and Sino-Danish Breast Cancer Research Centre, Department of Veterinary Disease Biology, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark. Electronic address: jomo@sund.ku.dk.
Copenhagen University Hospital · DKDanish Cancer Society · DKYale University · USTokyo Metropolitan Institute of Gerontology · JPUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have previously reported the 2D PAGE-based proteomic profiling of a prospective cohort of 78 triple negative breast cancer (TNBC) patients, and the establishment of a cumulative TNBC protein database. Analysis of this database identified a number of proteins as being specifically overexpressed in TNBC samples. One such protein was D-3-phosphoglycerate dehydrogenase (Phgdh), a candidate oncogene. We analysed expression of Phgdh in normal and TNBC mammary tissue samples by 2D gel-based proteomics and immunohistochemistry (IHC), and show here that high-level expression of Phgdh in mammary epithelial cells is primarily associated with cell lineage, as we found that Phgdh expression was predominant in CK5-positive cells, normal as well as malignant, thus identifying an association of this protein with the basal phenotype. Quantitative IHC analysis of Phgdh expression in normal breast tissue showed high-level expression of Phgdh in normal CK5-positive mammary epithelial cells, indicating that expression of this protein was not associated with malignancy, but rather with cell lineage. However, proteomic profiling of Phgdh showed it to be expressed in two major protein forms, and that the ratio of expression between these variants was associated with malignancy. Overexpression of Phgdh in CK5-positive cell lineages, and differential protein isoform expression, was additionally found in other tissues and cancer types, suggesting that overexpression of Phgdh is generally associated with CK5 cells, and that oncogenic function may be determined by isoform expression.

Indexed as

Cell LineageBreastCell Line, TumorCohort StudiesFemaleHumansIsoenzymesKeratin-5MCF-7 CellsMiddle AgedPhosphoglycerate DehydrogenaseProteomeTissue Array AnalysisTriple Negative Breast NeoplasmsUp-RegulationIsoenzymesKeratin-5Phosphoglycerate DehydrogenaseProteome“Basal-type” breast cancerBreast cancerPhgdhProteomicsSerine biosynthesis

Identifiers

PMID26026368
PMCPMC5528790
OpenAlexW2138921516

What OpenQuestion holds

Textmetadata
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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.