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Record W3000409879 · doi:10.1101/2020.01.14.906438

PAX2 Induces Tubular-Like Structures in Normal and Ovarian Cancer Cells

2020· preprint· en· W3000409879 on OpenAlexaff
Kholoud Alwosaibai, Ensaf M. Al-Hujaily, Salmah Alamri, Kenneth Garson, Barbara C. Vanderhyden

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsOvarian cancerSerous fluidOvarian carcinomaBiologyCancer researchIn vivoOvaryIn vitroCancerPathologyCell biologyEndocrinologyInternal medicineMedicine

Abstract

fetched live from OpenAlex

Abstract In adult tissues, PAX2 protein is expressed in normal oviductal epithelial cells but not in normal ovarian surface epithelial cells. Studies have reported that PAX2 is expressed in a subset of serous ovarian carcinoma cases but the role of PAX2 in the initiation and progression of ovarian cancer remains unknown. The aim of this study was to understand the biological consequences of Pax2 expression in normal and cancerous mouse epithelial (MOSE) cells. We found that Pax2 overexpression in both normal and cancerous ovarian epithelial cells induced the formation of vascular channels both in vitro and in vivo . The results indicate a possible contribution of PAX2 to ovarian cancer progression by increasing the vascular channels to supply nutrients to the tumor cells.

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 score0.005

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.213
Teacher spread0.205 · 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
Published2020
Admission routes1
Has abstractyes

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