MétaCan
Menu
Back to cohort
Record W4285337318 · doi:10.30699/mmlj17.4.2.19

Chimeric antigen receptor (CAR) T cell therapy in hepatocellular carcinoma; a review of recent advances

2021· review· en· W4285337318 on OpenAlex
Mohammad Amin Shahrbaf, Kian Goudarzi, Kimia Karimi Taheri, Hani Keshavarz Alikhani, Masoumeh Noori

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueModern Medical Laboratory Journal · 2021
Typereview
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsnot available
Fundersnot available
KeywordsChimeric antigen receptorHepatocellular carcinomaCancer researchAntigenReceptorMedicineImmunotherapyImmunologyBiologyInternal medicineImmune system

Abstract

fetched live from OpenAlex

Novel therapeutic options such as adoptive immunotherapy have been progressed drastically for treating hepatocellular carcinoma (HCC). Chimeric antigen receptor T cell (CAR-T) therapy is a kind of adoptive immunotherapy that has been associated with promising results in hematopoietic malignancies. However, its application is associated with some obstacles in solid tumors, including heterogeneity of tumor antigens, immunosuppressive microenvironment, and serious adverse complications. In recent years, some progress has been made in this regard, and several preclinical and phase I clinical trial studies have been conducted concerning the application of CAR T-cells in solid tumors. This study will review the possibilities of CAR T cell therapy in HCC, the most common primary liver cancer associated with high morbidities and mortality globally.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.935
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0370.000

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 head0.059
GPT teacher head0.371
Teacher spread0.311 · 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