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Record W3217061495 · doi:10.1080/2162402x.2021.2005859

Radiochemotherapy-induced elevations of plasma HMGB1 levels predict therapeutic responses in cancer patients

2021· editorial· en· W3217061495 on OpenAlexfundno aff
Guido Kroemer, Oliver Kepp

Bibliographic record

VenueOncoImmunology · 2021
Typeeditorial
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced Glycation End Products research
Canadian institutionsnot available
FundersLabex Immuno-OncologyEuropean Research Area Network on Cardiovascular DiseasesHorizon 2020 Framework ProgrammeChancellerie des Universités de ParisCentre de Compétences Nanosciences Ile-de-FranceCanadian Rheumatology AssociationInstitut Universitaire de FranceLabexLigue Contre le CancerDivision of Arctic SciencesFondation pour la Recherche MédicaleInstitut National Du CancerInstitut National de la Santé et de la Recherche MédicaleAgence Nationale de la RechercheAssociation pour la Recherche sur le CancerSeerave FoundationInstitut national de la recherche scientifiqueInstitut Gustave-RoussyFondation Leducq
KeywordsMedicineHMGB1Breast cancerContext (archaeology)Internal medicineOncologyHead and neck cancerChemoradiotherapyCancerSquamous cell cancerColorectal cancerInflammationCancer researchBiology

Abstract

fetched live from OpenAlex

High mobility group B1 (HMGB1) is a protein that is released from dying cancer cells in the context of immunogenic cell death (ICD). A recent study performed on patients with head and neck squamous cell carcinomas (HNSCC) reports that a chemoradiotherapy-induced increase in circulating HMGB1 levels predicts favorable outcome, echoing prior studies on neoadjuvant treatment of breast and rectal cancer in which the dynamics of HMGB1 plasma levels also have prognostic value. Hence, a therapy-induced rise in HMGB1 may be interpreted as a clinical sign of ICD and therapeutic response.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0010.000
Research integrity0.0010.001
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 head0.027
GPT teacher head0.350
Teacher spread0.323 · 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 designBench or experimental
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

Citations24
Published2021
Admission routes1
Has abstractyes

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