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Record W2061962063 · doi:10.2174/1568006053005056

Hyaluronan and Hyaluronan Synthases: Potential Therapeutic Targets in Cancer

2005· review· en· W2061962063 on OpenAlex
Sophia Adamia, Christopher A. Maxwell, Linda M. Pilarski

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Drug Targets - Cardiovascular & Hematological Disorders · 2005
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsUniversity of Alberta
FundersNational Cancer InstituteAlberta Heritage Foundation for Medical Research
KeywordsExtracellular matrixCell biologyCarcinogenesisTumor progressionBiologyTumor microenvironmentCancer cellCell growthMorphogenesisCellCancerCancer researchBiochemistryGenetics

Abstract

fetched live from OpenAlex

Current models of oncogenesis describe cancer as a progression of genetic mutations in a tumor cell mass. However, tumors are more than a clonal expansion of malignant cells. Tumors are heterogeneous, with a complex 3D structure, analogous to organs comprised of different tissues. In a tumor mass, the component cell types interact with each other and with their microenvironment by exchanging information through cell-cell interactions and/or through interactions with the extracellular matrix (ECM). These synergetic interactions facilitate tumor progression. Furthermore, tumor invasion and metastatic development are accomplished through the breakdown of ECM. Disruption of ECM promotes abnormal inter- and/or intra- cellular signaling, leading to dysregulation of cell proliferation, growth and cytoskeleton reorganization. The disruption of the ECM in turn promotes the overproduction of growth factors, which induce elevated epithelial cell proliferation and other abnormalities including carcinogenesis. In this review we will demonstrate that hyaluronan (HA), a core component of ECM, contributes to certain types of cancer development. Additional to extracellular HA, intracellular and nuclear forms of HA have been detected. Intracellular HA is involved in cell signaling, whereas nuclear HA could promote chromatin condensation and thus facilitate mitosis. HA molecules are synthesized by hyaluronan synthases (HASs)-HAS1, HAS2 and HAS3 enzymes. Dysregulation of HAS genes results in abnormal production of HA and promotion of abnormal biological processes such as transformation and metastasis. The function of HASs appears to be cell and tissue specific. HAS1 maintains a low, basal level of HA. HAS2 is involved in embryonic and cardiac cushion morphogenesis and subsequent development through cell migration and invasion. HAS2 stimulates cell proliferation and angiogenesis. HAS3 appears to favor the malignant phenotype in many types of malignancies. However, the exact function of HAS isoenzymes and their role in cell signaling remains to be elucidated. A better understanding of HA and HASs may facilitate the design of novel therapeutic strategies to counter presumptive cancer-promoting effects of microenvironmental components.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.035
GPT teacher head0.343
Teacher spread0.307 · 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