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Record W2215255387 · doi:10.1093/neuonc/nov290

Response to “Insulin-like growth factor 1 receptor signaling via Akt: a general therapeutic target in neurocutaneous melanocytosis?”

2015· letter· en· W2215255387 on OpenAlexaff
Yibing Ruan, Aru Narendran

Bibliographic record

VenueNeuro-Oncology · 2015
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPI3K/AKT/mTOR signaling in cancer
Canadian institutionsUniversity of CalgaryAlberta Children's Hospital
FundersMorgan Family FoundationSilicon Valley Community Foundation
KeywordsProtein kinase BInsulin receptorInsulin-like growth factorCancer researchGrowth factorSignal transductionInsulinReceptorMedicineBiologyCell biologyInternal medicineInsulin resistance

Abstract

fetched live from OpenAlex

In this issue, Patel et al describe their initial findings on the implications of IGF-IR mediated signaling in the pathophysiology of neurocutaneous melanocytosis (NCM) with special reference to NRAS and BRAF mutations.1 In particular, this study addresses some of the postulations presented in our recent report that suggested the potential of IGF-IR signaling pathway as a target for therapeutics, based on the observation that the inhibition of IGF-IR leads to loss of viability in NCM cells.2 Although it was not shown directly, the downregulation of IGF-binding proteins (IGFBPs) was suggested as a potential mechanism by which NCM cells may enhance their growth and survival potential. However, the lack of variability in the expression levels of IGFBPs among NRAS and BRAF-mutated NCM cells and normal epidermal melanocytes led to the suggestion that lower IGFBPs are a shared characteristic among melanocytic lineage cells that depend on IGF-IR signaling for cell survival and are not a function of their malignant status.1 This has multiple implications for the application of IGF-IR directed therapeutics. It indicates that such targetable cell populations include those carrying the major known mutations, and thus such an approach would be beneficial for most NCM patients. Interestingly, however, the different extent to which the NRAS and BRAF mutant cells are affected by IGF-IR pathway inhibition suggests that a complex relationship may exist between IGF-IR activity and cells with distinct driver mutations. Further studies with more samples and additional knockin or knockout experiments must be done to decipher this possibility. Moreover, because of the pleiotropic nature of IGF-IR mediated pathways in the growth and survival of melanocytes, such studies are inherently complex. This is to some extent reflected in the seemingly diverse findings reported in recent literature, which may be due to the heterogeneity of the cell types studied, the assays utilized, and the models employed.3 Interpatient variations should also be considered because the IGF-IR pathway (ie, the driver) may function only as a bystander in some patients, and the activity status of IGF-IR may influence only at a distinct phase of its molecular or clinical evolution. It is also uncertain as to what extent the cell culture findings can be translated to provide mechanistic explanations for the tumor biology in vivo. However, while the specifics still remain to be elucidated, there is general agreement on the important role played by IGF-IR mediated processes in the oncogenesis of melanocytic tumors.4–7 The identification of Akt as a nodal point in the convergence of activation signals from key mutations and IGF-IR, which may push melanocytic cells through stages of cell cycle, provides strategies to deal with genomic events that are presently not directly actionable.8 Overall, the preliminary report by Patel et al provides an interesting conceptualization of recent findings (including our report) and presents a lead into a key area for future research to identify effective targeted therapeutics for one of the most difficult- to-cure malignancies in medicine. Conflict of interest statement. The authors declare no conflict of interest.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.003

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 head0.024
GPT teacher head0.284
Teacher spread0.261 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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