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Record W2553634649 · doi:10.1186/s40880-016-0162-7

Implications of vessel co-option in sorafenib-resistant hepatocellular carcinoma

2016· article· en· W2553634649 on OpenAlex

Why this work is in the frame

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

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChinese Journal of Cancer · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsSorafenibHepatocellular carcinomaAngiogenesisMedicineHCCSCancer researchLiver cancerCancerInternal medicineOncologyAcquired resistance

Abstract

fetched live from OpenAlex

The reason why tumors generally have a modest or transient response to antiangiogenic therapy is not well understood. This poses a major challenge for sorafenib treatment of advanced hepatocellular carcinoma (HCC) where alternate therapies are lacking. We recently published a paper entitled "Co-option of liver vessels and not sprouting angiogenesis drives acquired sorafenib resistance in hepatocellular carcinoma" in the Journal of the National Cancer Institute, providing a potential explanation for this limited benefit. We found that in mice bearing HCCs that had acquired resistance to sorafenib, tumors had switched from using angiogenesis for growth to co-opting the liver vasculature by becoming more invasive. Accumulating evidence suggests that many human tumor types may use vessel co-option, which has profound implications for the use of anti-angiogenic agents for cancer treatment.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.013
GPT teacher head0.297
Teacher spread0.284 · 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