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Autophagy inhibition in cancer therapy: metabolic considerations for antitumor immunity

2012· review· en· 103 citations· W1940659856 on OpenAlex· 10.1111/j.1600-065x.2012.01141.x

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Full frame distilled prediction

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.

Candidate categories
Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: Other designConsensus signal: none
Genre
Candidate signal: ReviewConsensus signal: Review
Teacher disagreement score
0.993
Threshold uncertainty score
1.000
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.320
GPT teacher head0.457
Teacher spread
0.137 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Tumors and the immune system are intertwined in a competition where tilting the fine balance between tumor-specific immunity and tolerance can ultimately decide the fate of the host. Defensive and suppressive immunological responses to cancer are exquisitely sensitive to metabolic features of rapidly growing tumors, such as hypoxia, low nutrient availability, and aberrant growth factor signaling. As a result, clinical therapies impacting these properties change the in situ antitumor immune response by virtue of disrupting the tumor environment. To compensate for disruptions in cellular metabolism, cells activate autophagy to promote survival. On the basis of this notion, strategies designed to block autophagy in tumor cells are currently being tested in several human clinical trials. However, therapies that impair tumor metabolism must also take into account their effect on lymphocytes activated in the immune response to cancer. Given that a strong antitumor immune response is a positive prognostic factor in overall patient survival, identifying ways to block essential processes in tumor cells and suppressive immune cells while promoting those that are important for a robust immune response are of critical importance. Herein, we review the effects of anti-cancer agents that impact metabolism administered concurrently with autophagy inhibitors on immune cells and consider the implications for patient response to therapy.

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.

The record

Venue
Immunological Reviews
Topic
Autophagy in Disease and Therapy
Field
Medicine
Canadian institutions
University of VictoriaBC Cancer Agency
Funders
Canadian Institutes of Health Research
Keywords
Immune systemAutophagyBiologyImmunityCancerCancer cellCancer researchImmunologyImmunogenic cell deathTumor microenvironmentImmune toleranceImmunotherapy
Has abstract in OpenAlex
yes