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Record W1996558981 · doi:10.9738/intsurg-d-13-00001.1

Mesothelin Expression Is a Prognostic Factor in Cholangiocellular Carcinoma

2013· article· en· W1996558981 on OpenAlexaff
Ryohei Nomura, Hiroaki Fujii, Masaaki Abe, Hiroyuki Sugo, Yoichi Ishizaki, Seiji Kawasaki, Okio Hino

Bibliographic record

VenueInternational Surgery · 2013
Typearticle
Languageen
FieldMedicine
TopicOccupational and environmental lung diseases
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsMesothelinMedicineImmunohistochemistryMonoclonal antibodyOncologyInternal medicineCarcinomaPathologyGastroenterologyCancerAntibodyImmunology

Abstract

fetched live from OpenAlex

Although mesothelin is highly expressed in epithelial mesotheliomas, and also in adenocarcinomas of the ovary and pancreas, the clinical significance of mesothelin in cholangiocellular carcinoma (CC) has not been reported, and its biologic features are largely unknown. In the present study, mesothelin expression was evaluated in 25 patients with CC using a well-characterized mesothelin monoclonal antibody (5B2). A total of 8 of the 25 patients with CC (32%) showed mesothelin immunoreactivity. The 25 patients were divided into 2 groups according to the percentage of tumor cells that were positive for mesothelin expression: negative (n = 17) or focally positive (mesothelin expression evident in less than 50%, n = 4; total, n = 21 for both groups), and positive (mesothelin expression evident in 50% or more, n = 4). The survival periods in both groups were statistically analyzed. The negative/focally positive group showed significantly longer postoperative survival than the positive group (P = 0.006). Also, mesothelin positivity was identified as an independent predictor of short postoperative survival. The present results suggest that mesothelin expression is a prognostic indicator in patients with CC.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

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)0.0070.001

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 head0.019
GPT teacher head0.246
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations43
Published2013
Admission routes1
Has abstractyes

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