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Record W3201938698 · doi:10.1073/pnas.2108359118

High-risk human papillomavirus-18 uses an mRNA sequence to synthesize oncoprotein E6 in tumors

2021· article· en· W3201938698 on OpenAlexaff
Alejandra García, Giovanna Maldonado, José L. González, Yuri V. Svitkin, David Cantú de León, Alejandro García‐Carrancá, Nahum Sonenberg, Greco Hernández

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2021
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsMcGill University
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsEIF4ETranslation (biology)Messenger RNACervical cancerCarcinogenesisCancer researchHuman papillomavirusBiologyEukaryotic translationVirologyPapillomaviridaeDiseaseCancerMedicineInternal medicineGeneticsGene

Abstract

fetched live from OpenAlex

Significance Cervical cancer is the fourth most common cancer in women for both incidence and mortality worldwide. The causal agent is a group of viruses termed high-risk human papillomavirus (HPV). Viral types 16 and 18 cause ∼70% of this burden disease. HPV E6 is a potent oncoprotein that plays a central role in carcinogenesis, but its synthesis remains poorly understood at the level of mRNA translation. We discovered that in cervical tumors, mRNAs possessing 5′ UTRs of 0 to 5 nucleotides and harboring the motif ACC aug GCGCG(C/A)UUU control E6 mRNA translation. This process is highly dependent on eIF4E and eIF4AI, two translation factors linking translation and cancer. We suggest the use of drugs targeting these factors as antineoplasic compounds for HPV-caused cancers.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.001

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 head0.129
GPT teacher head0.411
Teacher spread0.283 · 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

Citations11
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of Sciences→Same topicCervical Cancer and HPV Research→French-language works237,207→