MétaCan
Menu
Back to cohort

C-Terminal-PEDF Reduces IC50 Doses and Chemoresistant Population of CD133 and BCRP1-Positve Cancer Stem Like Cells

2013· article· en· W2150347913 on OpenAlexvenueno aff
Paola Castro‐Garcia, Carmen Gil‐Gas, Paloma Honrubia‐Gómez, Carmen Belén Álvarez‐Simón, Jesús‐José Ferre‐Fernández, Francisco Sánchez‐Sánchez, José Sánchez-Sánchez, Jose Ma Garcia-Bueno, S. Sabater, Guadalupe Aparicio, Luis Antón-Aparicio, Carmen Ramírez‐Castillejo

Bibliographic record

VenueJournal of Analytical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsnot available
Fundersnot available
KeywordsGemcitabineMedicineCisplatinRegimenOncologyNeutropeniaInternal medicineChemotherapyUrologyUrothelial cancerAdverse effectBladder cancerCancerSurgery

Abstract

fetched live from OpenAlex

We report on two patients, successfully treated by the combination therapy of gemcitabine and 24-h intravenous infusion of cisplatin, who were initially diagnosed with node-positive advanced urothelial cancer. Each patient had a very good clinical response and underwent curative radical surgery after gemcitabine/cisplatin chemotherapy. A microscopically detailed examination of surgically obtained specimens showed the complete disappearance of malignant cells in the two cases. As a pilot study, we have used the regimen of gemcitabine plus 24-h continuous infusion of cisplatin, instead of bolus injection, for the treatment of 20 patients with node-positive or metastatic urothelial cancer. The clinical response rate in this regimen was 75% (complete response 7/20; 35%, partial response 8/20; 40%). The median overall survival was 665 days. As for the adverse effects, the incidences of severe neutropenia and thrombocytopenia (grade 3-4) were 20% and 15%, which might be less toxic than conventional gemcitabine plus cisplatin therapy. The 24-h infusion of cisplatin combined with gemcitabine can be highly recommended as neoadjuvant chemotherapy for locally advanced urothelial cancer.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.680
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.328
Teacher spread0.305 · 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 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

Citations4
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Analytical OncologySame topicCancer Cells and MetastasisFrench-language works237,207