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Record W7161803099 · doi:10.82308/18628

ERK4, a new tumor suppressor gene candidate implicated in prostate cancer progression

2005· dissertation· en· W7161803099 on OpenAlexaboutno aff
Audrey. Gagnon

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsnot available
Fundersnot available
KeywordsProstate cancerTumor suppressor geneCandidate geneLocus (genetics)MetastasisAlleleCancerMicroarray analysis techniquesGeneGenotyping

Abstract

fetched live from OpenAlex

In Canada, prostate cancer is the most frequently diagnosed cancer in man and the third leading cause of cancer related death. In order to identify genes implicated in prostate cancer progression, we used microcell-mediated chromosome transfer to introduce chromosomes 10, 12, 17 and 18 into human PC-3-derived cells lines called PC-3M-Pro4GP1 and PC-3M-LN4GP2. The properties of the hybrids were determined by invasion assay, growth in soft agar and injection into nude mice (either subcutaneously or orthotopically). After the transfer of chromosome 18 in our cell lines, we have identified two sets of hybrids that show opposite phenotypes. Genotyping studies indicated that one locus on chromosome 18 (D18S51) contains an additional allele in the less tumorigenic hybrids. This allele is absent in the highly tumorigenic hybrids as well as in tumors derived from the injection of less tumorigenic cells into nude mice. Preliminary microarray data analysis showed that two genes located in the D18S51 region (ERK4 and BCL2) were differentially expressed in the less tumorigenic hybrids compared to the tumorigenic hybrids. We examined publicly available microarray data sets and found that ERK4 was down regulated in prostate, adrenal and lung cancers. We have also examined the possibility that the metastasis suppressor gene MASPIN (also located in the D18S51 region) could be responsible for the less tumorigenic phenotype seen in our hybrids. Real-time PCR studies showed that ERK4 and MASPIN were up regulated in the less tumorigenic hybrids and that BCL2 was down regulated in these same cells. However, Western immunoblot experiments did not show any difference in the MASPIN or the BCL2 protein levels. Thus, MASPIN or a BCL2 repressor are most likely not responsible for the less tumorigenic phenotype of our hybrids. Interestingly, re-introduction of ERK4 in our tumorigenic hybrids completely abolished their ability to form colonies in soft agar and to invade through Matrigel. However, there is no difference in tumor growth rate upon injection of ERK4-over-expressing cells compared to mock-transfected controls. We also found a non-synonymous polymorphism in the coding sequence of the ERK4 gene. This polymorphism is present at the same frequency in Asian, European and Ashkenazi Jewish populations but less frequently in the African (Yoruba) population. This is the first report of a non-synonymous polymorphism in the coding sequence of the ERK4 gene. However, based on a limited number of prostate cancer cases, the presence of this poylmorphism is not associated with the disease. Taken together, these results demonstrate that ERK4 is a good candidate for a tumor suppressor gene implicated in prostate cancer progression.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.288
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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