Human Papillomavirus (HPV) infection and Erythropoietin Receptors (EPoR) expression as prognostic indicators in oropharyngeal cancer
Notice bibliographique
Résumé
Background: Human papillomavirus (HPV) infection is recognized as an independent risk factor for squamous cell carcinomas (SCCs) of the head and neck, and the presence of HPV DNA is associated with a better prognosis. Recent evidence indicates a broader role for erythropoietin via binding and activation of its receptor (EpoR), which is present in many neoplastic non-hematopoietic cells. The expression of EpoR in cancer may represent a selection process that permits cancer cells to survive in an unfavorable microenvironment and may indicate aggressive cancer cell behavior. EpoR is variably expressed in head and neck cancer cells and could independently predict a poorer treatment response. Objectives: 1. To determine HPV status and the frequency of EpoR expression in archived biopsy specimens obtained from patients with oropharyngeal SCCs. 2. To evaluate whether the EpoR status affects survival and whether this putative effect is influenced by HPV status. Methods: A retrospective cohort study was conducted by reviewing the charts of 97 patients with oropharyngeal SCCs treated with primary curative intent radiation therapy at the McGill University Health Center, from 2000 to 2009. Eligible patients had to have archived tissue samples available for HPV and EpoR analysis. HPV DNA testing and typing was done using a standard polymerase chain reaction (PCR) protocol. EpoR status was determined by immunohistochemistry using rabbit polyclonal anti-EpoR staining. Stained sections were analyzed by 2 independent examiners by conventional light microscopy. A score product of 0-300 was determined for each patient by multiplying the percentage of neoplastic cells staining for EpoR (0-100%) and the intensity of the EpoR staining expressed from 0 to 3. Results: The median age was 62 years (range: 43–83). HPV status was positive in 74% of patients and this was significantly higher in patients aged ≤65 years, p=0.023. Patients with a significant smoking history (>10 pack-years) and drinking history (>4 drinks/week) were significantly more likely to be HPV negative, p= 0.041 and 0.0001 respectively. On Cox regression analysis, HPV positivity was associated with a 29% reduction in risk of death (Hazard Ratio (HR)=0.71; 95% Confidence Interval (CI): 0.34-1.49), albeit non-significantly. EpoR status was positive in 27% of patients and was associated with a non-significant 23% increase in risk of death (HR=1.23; 95%CI: 0.59-2.56). Patients who were HPV positive and EpoR negative had a non-significant 33% reduction in risk of death (HR=0.67; 95%CI: 0.29-1.56).Conclusion: This study demonstrates a trend indicating that HPV and EpoR status correlate with survival. This trend persists when patients are divided into low, intermediate and high-risk groups based on their HPV/EpoR status. The lowest risk group appears to consist of patients, which are HPV positive and EpoR negative. To the best of our knowledge this is the first study to discuss the relation of EpoR and survival in head and neck cancer.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».