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Record W4312592121 · doi:10.5114/ms.2022.122392

PTEN gene mutations in malignant tumours – a systematic review and clinical implications for tumour treatment

2022· review· en· W4312592121 on OpenAlexaboutno aff
Magdalena Kołomańska, Łukasz Nawacki, Łukasz Madej, Jarosław Matykiewicz, A. Kubala‐Kukuś, Stanisław Głuszek

Bibliographic record

VenueMedical Studies · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsnot available
Fundersnot available
KeywordsPTENCancer researchGeneMedicineBiologyInternal medicineGeneticsSignal transduction

Abstract

fetched live from OpenAlex

Wprowadzenie Gen PTEN (phosphatase and tensin homolog deleted on chormosome 10) jest jednym z najczęściej zmutowanych genów supresorowych w nowotworach złośliwych. Białko PTEN przeciwdziała procesowi kancerogenezy poprzez hamowanie wielu kinaz promujących proliferację komórek. Cel pracy Przegląd oraz analiza wykrytych mutacji genu PTEN w nowotworach złośliwych oraz wskazanie miejsc w genie PTEN, które najczęściej ulegają mutacji. Materiał i metody Do przeglądu systematycznego włączono 70 publikacji. Wyniki Mutacje genu PTEN stwierdzono w 18% przypadków. Najwięcej mutacji wykryto w przypadku raka endometrium – u 49% przebadanych pacjentów. Mutacje występowały najczęściej na eksonie 5 (49% przypadków), następnie na eksonie 8 (15% przypadków) oraz 7 (13% przypadków). Wnioski Identyfikacja mutacji w genie PTEN w nowotworach złośliwych ma duże znaczenie kliniczne – dostępna jest celowana terapia z użyciem temsirolimusu oraz ewerolimusu.

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)0.021
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.077
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0100.012
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.147
GPT teacher head0.467
Teacher spread0.320 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2022
Admission routes1
Has abstractyes

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