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Record W3007415534 · doi:10.1097/wnr.0000000000001411

LncRNA cancer susceptibility candidate (CASC7) upregulates phosphatase and tensin homolog by downregulating miR-10a to inhibit neuroblastoma cell proliferation

2020· article· en· W3007415534 on OpenAlexaff
Xianjun Zhou, Hongting Lu, Fujiang Li, Lulu Han, Hong Zhang, Zhong Jiang, Qian Dong, Xin Chen

Bibliographic record

VenueNeuroreport · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsTensinNeuroblastomaDownregulation and upregulationCancer researchmicroRNABiologyCell growthPhosphataseCancerCell biologyCell cultureSignal transductionPTENGenePhosphorylationPI3K/AKT/mTOR pathwayBiochemistryGenetics

Abstract

fetched live from OpenAlex

Long non-coding (lncRNA) cancer susceptibility candidate (CASC7) plays a tumor-suppressive role in several malignancies. In this study, the role of CASC7 in neuroblastoma was investigated for the first time. We observed the downregulation of CASC7 in neuroblastoma tissues compared to non-cancer tissues of neuroblastoma patients. Across neuroblastoma tissues, CASC7 was inversely correlated with microRNA-10a (miR-10a) but positively correlated with phosphatase and tensin homolog mRNA. In neuroblastoma cells, CASC7 overexpression led to downregulated miR-10a but upregulated phosphatase and tensin homolog. Furthermore, miR-10a overexpression led to downregulated phosphatase and tensin homolog and reduced effects of CASC7 overexpression. CASC7 overexpression resulted in inhibition, while miR-10a overexpression resulted in increased proliferation rate of neuroblastoma cells. We therefore concluded that lncRNA CASC7 may upregulate phosphatase and tensin homolog by downregulating miR-10a to inhibit neuroblastoma cell proliferation.

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 categoriesMeta-epidemiology (narrow)
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 score0.004
Threshold uncertainty score1.000

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 head0.254
Teacher spread0.245 · 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.

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

Citations17
Published2020
Admission routes1
Has abstractyes

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