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Record W4313368058 · doi:10.1016/j.jtumed.2022.12.013

Association of Kaiso and partner proteins in oral squamous cell carcinoma

2022· article· en· W4313368058 on OpenAlexaff
Hira Salam, Shaheen Ahmed, Muhammad Furqan Bari, Uzma Bukhari, Ghulam Haider, Shariq Najeeb, Nouman Mughal

Bibliographic record

VenueJournal of Taibah University Medical Sciences · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicWnt/β-catenin signaling in development and cancer
Canadian institutionsWestern University
Fundersnot available
KeywordsCyclin D1Subcellular localizationImmunohistochemistryGrading (engineering)CancerBiologyPathologyCytoplasmMedicineCell cycleCell biologyInternal medicine

Abstract

fetched live from OpenAlex

Objectives: 1. Identification of protein expression and subcellular localization of E-cadherin (E-cad), p120 catenin (P120ctn), and Kaiso in oral cancer (OC). 2. To study the protein expression of cyclin D1 and c-Myc (Kaiso targets) and determine their relationship with the expression and localization of Kaiso. Methods: < 0.05 as statistically significant. Results: Of 47 OC cases, 36% showed low E-cad expression and 34% showed low p120ctn. Low Kaiso expression was recognized in 78% of tumor specimens. Aberrant cytoplasmic localization of p120ctn was seen in 80.8% cases. Cytoplasmic Kaiso localization was appreciated in 87% of tumor tissues, whereas 29.7% lacked any nuclear Kaiso. Kaiso expression was significantly associated with the expression of cyclin D1 but not with c-Myc. Conclusion: The present study identified a change in the localization of Kaiso in OC. The significance of this in relation to OC and tumor prognosis needs to be investigated with further studies using larger sample sizes and more sensitive molecular tools.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.148

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.013
GPT teacher head0.231
Teacher spread0.219 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

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