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Record W1970901810 · doi:10.2174/1568011043352641

An Update on the Systemic Therapy of Malignant Salivary Gland Cancers: Role of Chemotherapy and Molecular Targeted Agents

2004· review· en· W1970901810 on OpenAlex
Mark Agulnik, Lillian L. Siu

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.

Bibliographic record

VenueCurrent Medicinal Chemistry - Anti-Cancer Agents · 2004
Typereview
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer Centre
Fundersnot available
KeywordsSalivary glandMedicineChemotherapyMalignancyAdenoid cystic carcinomaOncologyInternal medicineSalivary gland cancerRadiation therapyPathologyTargeted therapyCancer researchCarcinomaCancer

Abstract

fetched live from OpenAlex

Salivary gland cancers are a rare malignancy accounting for less than 1% of all cancers and 3-6% of cancers of the head and neck region. The classification of salivary gland tumors is traditionally based on morphology and the different subtypes exhibit various clinical behaviors. The low grade and biologically indolent cell types include the adenoid cystic, acinic cell and adenocarcinoma while the salivary duct, squamous and mucoepidermoid are more active and high grade. The initial management of salivary gland malignancies is to assess resectability and possible adjuvant radiation therapy. Those with locoregional recurrence or metastatic disease are treated with systemic therapy. Numerous studies with small sample sizes have assessed the activity of different cytotoxic agents. Both single agent and combination chemotherapy have been used for the treatment of this disease. For these agents, the response rates are generally modest with objective response rates ranging from 15-50%. Duration of response is typically cited in the range of 6-9 months. Clinicopathological data have demonstrated correlations between poor clinical outcomes and the expression of molecular markers such as mutated p53 protein and vascular endothelial growth factor (VEGF) in salivary gland cancers. Recent studies have also evaluated the epidermal growth factor receptor family including erbB1/EGFR and erbB2/HER2 as potential therapeutic targets. While the prognostic significance of EGFR overexpression has not been well defined, overexpression of the HER2 oncoprotein has been associated with biological aggressiveness and poor prognosis in most series. Given the suboptimal response rates, duration of response, and toxicity of conventional chemotherapy, a better understanding of the biology of salivary gland malignancies will lead to improved prognostication and treatment. With the emergence of molecular targeted therapy, these tumors become an optimal candidate for trials of investigational drugs and established drugs for new indications.

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)0.000
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 score0.802
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
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)0.0010.000

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 head0.045
GPT teacher head0.357
Teacher spread0.311 · 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