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Enregistrement W2566984511 · doi:10.1158/1940-6215.prev-14-a11

Abstract A11: Airway gene expression indicates an increase in oxidative phosphorylation in the field of injury of individuals with premalignant lesions

2015· article· en· W2566984511 sur OpenAlexaff
Sarah A. Mazzilli, Gang Liu, Xiaohui Zhang, Huiqing Si, Stephen Lam, Marc E. Lenburg, Avrum Spira, Jennifer Beane

Notice bibliographique

RevueCancer Prevention Research · 2015
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRNA modifications and cancer
Établissements canadiensCanadian Centre for Applied Research in Cancer Control
Organismes subventionnairesnon disponible
Mots-clésBiologyGeneCancer researchLung cancerLungOxidative phosphorylationMicroarrayPathologyInternal medicineMedicineGene expressionGenetics

Résumé

récupéré en direct d'OpenAlex

Abstract Lung squamous cell carcinoma (SCC) claims the lives of approximately 50,000 individuals in the United States annually due to late stage diagnosis and lack of effective treatment options. Lung SCC arises in the epithelial layer of the bronchial airways and is preceded by the development of premalignant lesions (PMLs). The molecular events involved in the progression of PMLs to lung SCC are not clearly understood as not all PMLs that develop go on to form carcinoma. Our group is now using high-throughput genomic techniques to characterize the process of premalignant progression by examining PMLs and non-lesion areas in the airway of individuals with lesions (i.e. the “field of injury”,) to identify events that lead to the development of SCC. mRNA-Seq was conducted on cytologically-normal proximal airway epithelium collected by brushing the mainstem bronchus from current and former smokers with (n=43) and without (n=32) PMLs (metaplatic lesions excluded). Linear modeling strategies were used to identify genes altered between subjects with and without PMLs (n=801 out of 13,916 genes at FDR<0.01). Genes were significantly concordantly enriched (FDR<0.01) in an overlapping sample set profiled by microarray (n=57 out of the 75 samples, 33/57 with PMLs) and enriched among up-regulated genes in the independent sample set (n=158, 38/158 with PMLs). Pathway analysis by GSEA revealed enrichment (FDR<0.05) of oxidative phosphorylation (OXPHOS) /respiratory electron transport among genes up-regulated in the airways of subjects with PMLs. OXPHOS is the most efficient metabolic pathway that generates energy in the form of ATP by utilizing the structures and enzymes of the mitochondria and OXPHOS is often elevated during repair epithelial tissue. However, OXPHOS metabolism is often superseded in the development of cancer by glycolysis. To validate these computational findings related to the OXPHOS pathway, we examined oxygen consumption rates (OCR) and extracellular acidification rates (ECAR) in lung cell lines. These cell lines have either high OXPHOS and low glycolytic gene expression (H1299) or low OXPHOS and high glycolytic gene expression (HCC4006). Consistent with the gene expression pattern in these cell lines, The OCR for H1299s and HBECs were 10% higher than HCC4006 cells reflecting higher OXPHOS activity (p = 0.06). Whereas the ECAR was 39% higher in HCC4006 than H1299 cells and 46 % higher than HBECs (p<0.001and p<0.001 respectively), reflecting higher glycolytic metabolism corresponding to the gene expression. Next, we measured protein expression of genes that were elevated in the field of injury of PMLs, which included: mitochondrial membrane protein, translocase of the outer membrane (TOMM 22) and a subunit of complex IV of the electron transport chain, cytochrome C oxidase (COX-IV), in FFPE sections of lung tissue from the N-nitroso-tris-chloroethylurea (NTCU) mouse model of lung SCC. The NTCU model develops PMLs in the bronchial epithelium that progress to lung SCC in a histologically similar pattern to that observed in humans; it is important to note the carcinogen is administered cutaneously and not inhaled thus the field of injury may differ from inhaled carcinogens such as tobacco smoke. Protein levels of TOMM 22, and COX-IV were found to be elevated in dysplastic lesions compared to untreated controls. Together these data suggest that metabolism-associated gene expression is correlated with cellular metabolism and furthermore there is an increase in OXPHOS associated with the development of PMLs. While we are currently in the process of validating these findings in human normal and PMLs, our results suggest that there is potential that therapeutically increasing or maintaining OXPHOS in premalignant lesions or the field of injury may be a mechanism of prevention for lung cancer. Citation Format: Sarah A. Mazzilli, Gang Liu, Xiaohui Zhang, Huiqing Si, Stephen Lam, Marc Lenburg, Avrum Spira, Jennifer E. Beane. Airway gene expression indicates an increase in oxidative phosphorylation in the field of injury of individuals with premalignant lesions. [abstract]. In: Proceedings of the Thirteenth Annual AACR International Conference on Frontiers in Cancer Prevention Research; 2014 Sep 27-Oct 1; New Orleans, LA. Philadelphia (PA): AACR; Can Prev Res 2015;8(10 Suppl): Abstract nr A11.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,193

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,061
Tête enseignante GPT0,415
Écart entre enseignants0,354 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2015
Routes d'admission1
Résumé présentoui

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