Abstract 2490: Integrative systems analysis of HPV+ and HPV- oropharyngeal carcinomas
Notice bibliographique
Résumé
Abstract BACKGROUND: Over half of oropharyngeal carcinomas (OPCs) are linked to high-risk human papillomavirus (HPV) infection. As compared to their HPV-positive (HPV+) counterparts, HPV-negative (HPV-) OPCs are associated with significantly worse survival, inferior treatment response and a distinct molecular expression profile. There are currently considerable efforts underway to personalize treatment based on HPV status; however, this remains challenging as the current understanding of the different biological mechanisms in HPV+ vs. HPV- OPCs is limited. Hence, a comprehensive proteomic analysis was performed, utilizing archival OPC tissues, in order to acquire greater insights into the distinct biological pathways. METHODS: Global protein expression profiling was conducted on 26 HPV- and 27 HPV+ pre-treatment formalin-fixed paraffin-embedded (FFPE) OPCs using an automated 5-step Multidimensional Protein Identification Technology (MudPIT) procedure on a LTQ-Orbitrap XL. Protein quantification was achieved by adjusted spectral counting. Differentially expressed proteins (p<0.05) were classified into functionally enriched categories and interaction networks using GeneMania. Finally, differential expression of 4 proteins was evaluated by immunohistochemistry (IHC) on an independent cohort of 17 HPV- and 12 HPV+ pre-treatment FFPE OPC biopsies. RESULTS: Among the 2633 high confidence protein groups identified, 174 were significantly differentially expressed in HPV+ vs. HPV- OPCs. Functional enrichment analysis of these proteins demonstrated enrichment of cell cycle, DNA repair, cytokine signaling, apoptosis, DNA packaging, and metabolism proteins. These results were in concordance with a previous publication of pooled OPCs (Slebos et al, 2012). In addition, utilizing The Cancer Genome Atlas (TCGA) data, we determined that the relative expression levels of many of these proteins could be attributed to changes in copy number, methylation, mRNA, or mutation profiles. Next, the top 4 proteins were selected for verification based on concordance with these datasets and reported biological relevance. Selected proteins are involved in actin assembly, purine metabolism, differentiation, and cell migration and invasion. As a result, the differential expression of 2 proteins was successfully validated by IHC, while 2 additional proteins exhibited the same trend as in the discovery cohort. CONCLUSION: This study provides the most in-depth and integrated protein-centric view of HPV+ and HPV- OPC. As a key finding, we highlight the identification of an actin assembly oncoprotein reported to be involved in a targetable radioresistance pathway. We hypothesize that this pathway is preferentially activated in HPV- OPCs. Hence, future experiments will focus on validating the in vivo observed expression pattern of this protein in vitro, and manipulating its expression to overcome radioresistance in OPC models. Citation Format: Lusia Sepiashvili, Angela Hui, Wei Shi, Wei Xu, Daryl Waggot, Paul Boutros, Alex Ignatchenko, Vladimir Ignatchenko, Shao Hui (Sophie) Huang, John Waldron, Brian O'Sullivan, Jonathan C. Irish, Fei-Fei Liu, Thomas Kislinger. Integrative systems analysis of HPV+ and HPV- oropharyngeal carcinomas. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 2490. doi:10.1158/1538-7445.AM2014-2490
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».