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Record W2090394356 · doi:10.1002/hep.20421

Impact of cirrhosis on the development of experimental hepatic metastases by B16F1 melanoma cells in C57BL/6 mice

2004· article· en· W2090394356 on OpenAlexaff
Ke Qi, Hongming Qiu, Dongfeng Sun, Gerald Y. Minuk, Michael M. Lizardo, John D. Rutherford, William Orr

Bibliographic record

VenueHepatology · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCirrhosisHepatologyMedicinePathologyMetastasisHepatic stellate cellMelanomaCancer researchInternal medicineCancer

Abstract

fetched live from OpenAlex

Metastases rarely occur in human livers with cirrhosis in clinical studies. We postulated that this phenomenon would also occur in experimental cirrhosis. Cirrhosis was established in C57BL/6 mice by carbon tetrachloride (CCl(4)) gastrogavage. B16F1 melanoma cells were injected into the mesenteric vein to induce hepatic metastases. Contrary to our postulate, there was greater than 4-fold increase in metastasis in animals with cirrhosis compared to controls. Intravital videomicroscopy showed that the hepatic sinusoids were narrower and more tumor cells were retained in the terminal portal vein (TPV) in cirrhotic livers. Immunohistochemistry demonstrated that the expression of vascular adhesion molecules was significantly increased in cirrhosis. Using confocal microscopy and the fluorescent nitric oxide (NO) probe 4,5-diaminofluorescein diacetate, a significantly lower level of NO release was detected in livers with cirrhosis both in basal conditions and after tumor cell arrest. Eight hours after mesenteric vein tumor cell injection, the percentage of apoptotic tumor cells in the sinusoids was 17% +/- 2% in livers with cirrhosis and 30% +/- 5% in normal livers. More mitotic and Ki-67 labeled tumor cells were seen in livers with cirrhosis. In conclusion, the changes in architecture and adhesion molecule expression in livers with cirrhosis may cause more tumor cells to arrest in the TPV. Lower levels of NO production may reduce apoptosis of B16F1 cells in livers with cirrhosis. As a result, these changes may promote the growth of metastasis in this cirrhotic model.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.465

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 head0.012
GPT teacher head0.270
Teacher spread0.257 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations17
Published2004
Admission routes1
Has abstractyes

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