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Record W3197398211 · doi:10.1136/jim-2021-002015

Correspondence on ‘Role of AMPK/mTOR-independent autophagy in clear cell renal cell carcinoma’ by Radovanovic <i>et al</i>

2021· letter· en· W3197398211 on OpenAlexaff
Shahrokh Lorzadeh, Saeid Ghavami

Bibliographic record

VenueJournal of Investigative Medicine · 2021
Typeletter
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsCancerCare ManitobaResearch Institute in Oncology and HematologyChildren's Hospital Research Institute of ManitobaUniversity of Manitoba
Fundersnot available
KeywordsAutophagyAMPKPI3K/AKT/mTOR pathwayRenal cell carcinomaRPTORCancer researchCellChemistryClear cell renal cell carcinomaCell biologyDiscovery and development of mTOR inhibitorsInternal medicineOncologyMedicineBiologyApoptosisSignal transductionBiochemistryPhosphorylationProtein kinase A

Abstract

fetched live from OpenAlex

Dear Editor, We have read this article published in the Journal of Investigative Medicine with great interest. In this paper, Radovanovic et al 1 investigated macroautophagy (hereafter autophagy) and apoptosis focusing on the regulatory roles of 5'-adenosine monophosphate-activated protein kinase (AMPK) and mechanistic target of rapamycin (mTOR) in clear cell renal cell carcinoma (ccRCC). They showed autophagy induction (uncoordinated protein 51-like kinase 1 (ULK1) phosphorylation, LC3 lipidation and p62 degradation) in ccRCC compared with normal renal cells. Interestingly, the active form of AMPK was shown to be lower in ccRCC whereas the phosphorylated form of initiation factor 4E-binding protein 1 (4EBP1), the substrate of mTOR, was increased. Therefore, they concluded that autophagy was executed independent of the AMPK and mTOR pathway. Autophagy is responsible for degradation and recycling of impaired organelles and cytosolic misfolded proteins to maintain cellular function.2 The autophagy process is executed by autophagy related (ATG) proteins. mTOR is one …

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.293
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.268
Teacher spread0.246 · 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.

Study designNot applicable
Domainnot available
GenreCommentary

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
Published2021
Admission routes1
Has abstractyes

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