Evidence map›Paper›PMID 30357756›Full record

ArticlePathology oncology research : POR2019

C-MYC, HIF-1α, ERG, TKT, and GSTP1: an Axis in Prostate Cancer?

L Boldrini, R Bartoletti, M Giordano, F Manassero, C Selli, M Panichi, L Galli, F Farci, P Faviana

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Pathology oncology research : POR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Prostate cancer in omics era.Cancer cell international · 2022
    Article
  5. The Expression of Proto-OncogeneInternational journal of molecular sciences · 2022
    Review
  6. Article
  7. Article
  8. Molecular Crosstalk Between MYC and HIF in Cancer.Frontiers in cell and developmental biology · 2020
    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

9 authors at 1 institution in 1 country.

L BoldriniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Roma 57, 56126, Pisa, Italy. laura.boldrini@med.unipi.it.
R BartolettiDepartment of Translational Research and New Technologies, University of Pisa, Pisa, Italy.
M GiordanoDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Roma 57, 56126, Pisa, Italy.
F ManasseroDivision of Urology, Pisa University, Pisa, Italy.
C SelliDepartment of Translational Research and New Technologies, University of Pisa, Pisa, Italy.
M PanichiDepartment of Radiotherapy, Pisa University, Pisa, Italy.
L GalliDivision of Medical Oncology, Pisa University, Pisa, Italy.
F FarciDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Roma 57, 56126, Pisa, Italy.
P FavianaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Via Roma 57, 56126, Pisa, Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To analyze putative biomarkers for prostate cancer (PCA) characterization, the second leading cause of cancer-associated mortality in men. Quantification of the expression level of c-myc and HIF-1α was performed in 72 prostate cancer specimens. A cohort of 497 prostate cancer patients from The Cancer Genome Atlas (TCGA) database was further analyzed, in order to test our hypothesis. We found that high c-myc level was significantly associated with HIF-1α elevated expression (p = 0.008) in our 72 samples. Statistical analysis of 497 TCGA prostate cancer specimens confirmed the strong association (p = 0.0005) of c-myc and HIF-1α expression levels, as we found in our series. Moreover, we found high c-myc levels significantly associated with low Glutatione S-transferase P1 (GSTP1) expression (p = 0.01), with high Transketolase (TKT) expression (p < 0.0001). High TKT levels were found in TCGA samples with low GSTP1 mRNA (p < 0.0001), as shown for c-myc, and with ERG increased expression (p = 0.02). Finally, samples with low GSTP1 expression displayed higher ERG mRNA levels than samples with high GSTP1 score (p < 0.0001), as above shown for c-myc. Our study emphasizes the notion of a potential value of HIF-1α and c-myc as putative biomarkers in prostate cancer; moreover TCGA data analysis showed a putative crosstalk between c-myc, HIF-1α, ERG, TKT, and GSTP1, suggesting a potential use of this axis in prostate cancer.

Indexed as

AgedBiomarkers, TumorCohort StudiesFollow-Up StudiesGlutathione S-Transferase piHumansHypoxia-Inducible Factor 1, alpha SubunitMaleMiddle AgedPrognosisProstatic NeoplasmsProto-Oncogene Proteins c-mycTranscriptional Regulator ERGTransketolaseBiomarkers, TumorERG protein, humanGlutathione S-Transferase piGSTP1 protein, humanHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitMYC protein, humanProto-Oncogene Proteins c-mycTranscriptional Regulator ERGTransketolaseC-mycGSTP1, TKT, ERGHIF-1αProstate cancer

Identifiers

PMID30357756
OpenAlexW2898503532

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.