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Record W4376131131 · doi:10.1002/bies.202200204

Tumor‐infiltrating lymphocyte therapy: Clinical aspects and future developments in this breakthrough cancer treatment

2023· article· en· W4376131131 on OpenAlexaff
Hyun Lee, Kwang Hee Kim, Jiwon Chung, Mofazzal Hossain, Hee Jin Lee

Bibliographic record

VenueBioEssays · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsTumor-infiltrating lymphocytesMedicineClinical trialCancerCancer therapyOncologyIntensive care medicineImmunotherapyInternal medicine

Abstract

fetched live from OpenAlex

Tumor-infiltrating lymphocyte (TIL) therapy is a promising approach for treating refractory or advanced solid cancers by using autologous TILs harvested from cancer tissues. Despite the heterogeneity of cancer, TIL therapy can potentially produce a positive therapeutic response, including complete remission. After decades of research on lymphocyte functions, culture/expansion methods, therapeutic protocols, and multiple clinical trials, TIL therapy has finally reached a stage where it can be formally approved for clinical use. TIL therapy is expected to hold a unique position among anti-cancer therapeutic options as a standard intervention. To successfully introduce TIL therapy into clinical settings, there is a need to expand therapeutic indications and set up the best protocols for cancer tissue sampling and manufacturing, and related clinical trials. Moreover, studies on next-generation TIL therapy have already begun, and post-approval real-world data will promote and support further research.

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 score0.768
Threshold uncertainty score0.585

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 head0.059
GPT teacher head0.362
Teacher spread0.303 · 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

Citations11
Published2023
Admission routes1
Has abstractyes

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