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Record W2973542609 · doi:10.14740/wjon1214

Current Immune-Related Molecular Approach in Combating Nasopharyngeal Cancer

2019· review· en· W2973542609 on OpenAlexvenueno aff
Soehartati Gondhowiardjo, Marlinda Adham, Henry Kodrat, Demak Lumban Tobing, I. Made Haryoga, Agustinus Gatot Dwiyono, Yoseph Adi Kristian

Bibliographic record

VenueWorld Journal of Oncology · 2019
Typereview
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsImmune systemMedicineCytotoxic T cellNasopharyngeal carcinomaCarcinogenesisCancerImmunologyAntigenCancer researchCancer cellEpstein–Barr virusSuppressorRadiation therapyVirusBiologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

Nasopharyngeal cancer is a cancer closely related to Epstein-Barr virus (EBV) infection. EBV protein has been shown to be related to various oncogenic development. Suppression of tumor suppressor genes, upregulating molecules to prevent immune attack, downregulating pro-apoptotic proteins, and stimulating local immune suppressive environment are among some roles that EBV proteins can exert on host cells. All those factors combined together with underlying genetic susceptibility of host cells further increase the chance of nasopharyngeal cancer development. Approach targeting those carcinogenesis pathways has been tested with marginal benefit. A newer approach boosting immune cells to increase recognition of tumor antigen and promoting cytotoxic T cell attack has shown promising clinical benefit. Further combination of those immunotherapies with other modality, in particular radiotherapy, has resulted in amplification of cancer killing.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.063
GPT teacher head0.407
Teacher spread0.344 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations8
Published2019
Admission routes1
Has abstractyes

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