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Record W3097725604 · doi:10.18632/aging.103679

Circular RNA circ_PVT1 induces epithelial-mesenchymal transition to promote metastasis of cervical cancer

2020· article· en· W3097725604 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAging · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsMontreal Chinese Hospital
Fundersnot available
KeywordsPVT1Epithelial–mesenchymal transitionCancer researchMetastasisCervical cancerRNATransition (genetics)OncologyChemistryCancerBiologyInternal medicineMedicineLong non-coding RNAGeneGenetics

Abstract

fetched live from OpenAlex

Cervical cancer is one of the most common gynecological malignant tumors. At present, it has been confirmed that the occurrence and development of cervical cancer is related to human papillomavirus infection. As a new regulatory molecule and research hotspot, circRNA is abnormally expressed in tumors and other diseases, and is expected to become a new biomarker for diagnosis and prediction of tumor occurrence and development. In this research, bioinformatics analysis and RT-PCR analysis showed that hsa_circ_0009143 (circRNA_PVT1) was up-regulated in cervical cancer. Knockdown of circRNA_PVT1 inhibits the migration and invasion of cervical cancer cells and would prevent pulmonary metastasis. Overexpression of circRNA_PVT1 induced migration and invasion of cervical cancer cells, which would result in the promotion of pulmonary metastasis. Finally, we found that circRNA_PVT1 can induce EMT of cervical cancer cells via targeting miR-1286 by exosome pathway, which can be a novel mechanism of cervical 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.

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 score0.010
Threshold uncertainty score0.584

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 head0.020
GPT teacher head0.275
Teacher spread0.256 · 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