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Record W4414939127 · doi:10.1016/j.jbc.2025.110805

Creatine kinase B promotes non–small cell lung cancer survival and metastasis

2025· article· en· W4414939127 on OpenAlexafffund
Mouna Tlili, Bożena Samborska, Charlotte Girondel, Afnan Abu-Thuraia, Qiaoqiao Zhang, Jakub Bunk, Mohammed F. Hussain, Peter M. Siegel, Lawrence Kazak

Bibliographic record

VenueJournal of Biological Chemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsMcGill University
FundersTerry Fox FoundationMcGill University
KeywordsMetastasisLung cancerAnoikisAdenocarcinomaCellKinaseCreatine kinaseOsteosarcomaCancer

Abstract

fetched live from OpenAlex

Creatine kinase (CK) catalyzes the reversible transfer of a phosphoryl group from ATP to creatine. There are four distinct CK genes (CKM [muscle-type CK], CKB [brain-type CK], CKMT1 [ubiquitous-type CK], and CKMT2 [sarcomeric-type CK]) with cell-type selective expression and subcellular localization. In cancer, uncontrolled cell proliferation drives aggressive migration and invasion into nearby tissues and distant organs. While creatine metabolism is known to support cancer cell survival, the specific roles of individual CK isoenzymes remain unclear. Here, we demonstrate that CKB is essential for CK enzymatic activity in several cancer cell lines, including non-small cell lung cancer (H1299), osteosarcoma (143B), and ovarian adenocarcinoma (OVCAR8). Moreover, we demonstrate that CKB promotes metastasis of H1299 cells to the lung and liver in vivo, a process associated with enhanced anoikis resistance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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)0.0020.000

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 head0.017
GPT teacher head0.276
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Biological Chemistry→Same topicCancer, Hypoxia, and Metabolism→French-language works237,207→