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Record W2616698957 · doi:10.18632/oncotarget.18012

HCaRG/COMMD5 inhibits ErbB receptor-driven renal cell carcinoma

2017· article· en· W2616698957 on OpenAlexafffundabout
Hiroyuki Matsuda, Carole G. Campion, Kyoko Fujiwara, Jin Ikeda, Suzanne Cossette, Thomas Verissimo, Maiko Ogasawara, Louis Gaboury, Kosuke Saito, Kenya Yamaguchi, Satoru Takahashi, Morito Endo, Noboru Fukuda, Masayoshi Soma, Pavel Hamet, Johanne Tremblay

Bibliographic record

VenueOncotarget · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsInstitute for Research in Immunology and CancerCentre Hospitalier de l’Université de MontréalUniversité de Montréal
FundersJapan Society for the Promotion of ScienceCanadian Institutes of Health Research
KeywordsRenal cell carcinomaMedicineCancer researchReceptorErbBCarcinomaInternal medicineOncology

Abstract

fetched live from OpenAlex

// Hiroyuki Matsuda 1, 2, 3 , Carole G. Campion 1 , Kyoko Fujiwara 3 , Jin Ikeda 3 , Suzanne Cossette 1 , Thomas Verissimo 1 , Maiko Ogasawara 3 , Louis Gaboury 4, 5 , Kosuke Saito 3 , Kenya Yamaguchi 6 , Satoru Takahashi 6 , Morito Endo 7 , Noboru Fukuda 8 , Masayoshi Soma 3 , Pavel Hamet 1, 2 and Johanne Tremblay 1, 2 1 Centre de recherche, Centre hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada, H2X 0A9 2 Department of Medicine, Université de Montréal, Montréal, Québec, Canada, H3T 1J4 3 Division of General Medicine, Department of Internal Medicine, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610 4 Institut de Recherche en Immunologie et Cancérologie (IRIC), Université de Montréal, Pavillon Marcelle-Coutu, Québec, Canada, H3T 1J4 5 Department of Pathology and Cell Biology, Université de Montréal, Montréal, Québec, Canada, H3T 1J4 6 Department of Urology, Nihon University, Itabashi-ku, Tokyo, Japan, 173-8610 7 Faculty of Human Health Science, Hachinohe Gakuin University, Hachinohe, Aomori, Japan, 031-8588 8 University Research Center, Nihon University, Chiyoda-ku, Tokyo, Japan, 102-8251 Correspondence to: Johanne Tremblay, email: johanne.tremblay@umontreal.ca Keywords: HCaRG/COMMD5, renal cell carcinoma, EGFR, differentiation, autophagic cell death Received: March 10, 2017      Accepted: May 08, 2017      Published: May 19, 2017 ABSTRACT Hypertension-related, calcium-regulated gene (HCaRG/COMMD5) is highly expressed in renal proximal tubules, where it contributes to the control of cell proliferation and differentiation. HCaRG accelerates tubular repair by facilitating re-differentiation of injured proximal tubular epithelial cells, thus improving mouse survival after acute kidney injury. Sustained hyper-proliferation and de-differentiation are important hallmarks of tumor progression. Here, we demonstrate that cancer cells overexpressing HCaRG maintain a more differentiated phenotype, while several of them undergo autophagic cell death. Its overexpression in mouse renal cell carcinomas led to smaller tumor size with less tumor vascularization in a homograft tumor model. Mechanistically, HCaRG promotes de-phosphorylation of the proto-oncogene erythroblastosis oncogene B (ErbB)2/HER2 and epigenetic gene silencing of epidermal growth factor receptor and ErbB3 via promoter methylation. Extracellular signal-regulated kinase, AKT and mammalian target of rapamycin which mediate ErbB-dowstream signaling pathways are inactivated by HCaRG expression. In addition, HCaRG is underexpressed in human renal cell carcinomas and more expressed in normal tissue adjacent to renal cell carcinomas of patients with favorable prognosis. Taken together, our data suggest a role for HCaRG in the inhibition of tumor progression as a natural inhibitor of the ErbB signals in cancer and as a potential prognostic marker for renal cell carcinomas.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.235
Threshold uncertainty score0.784

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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 teacher head, 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

Citations26
Published2017
Admission routes3
Has abstractyes

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