Abstract 4960: ERp46 (thioredoxin domain-containing protein 5, TXND5) promotes prostate cancer growth in vitro and in vivo
Notice bibliographique
Résumé
Abstract We have recently demonstrated that endoplasmic reticulum protein ERp46, a member of the protein disulfide isomerase family of oxidoreductases, TXND5, is overexpressed in human metastatic renal cell carcinoma. The expression and function of ERp46 in prostate cancer has not been studied. Using both in vitro and in vivo approaches, we explore the suitability of ERp46 as a potential therapeutic target in prostate cancer. Tissue microarray containing normal prostate epithelium (n = 9) and prostate cancer specimens from 57 patients was stained for ERp46 and the staining intensity (H-score) was determined. Human prostate adenocarcinoma 22Rv1 cells were used to generate gain- and loss-of-function models by stable ERp46 shRNA knockdown and ERp46 overexpression, respectively. In vitro, the doubling time and PSA production were determined. In vivo, xenografts of each subclone were established in nude mice (n = 10/group) to determine the longitudinal tumor growth and serum PSA values. Gene expression profiling of RNA isolated from 22Rv1 xenografts was performed using human whole genome HT-12 V4 BeadChip array (Illumina). Our results demonstrated that human prostate carcinoma samples of Gleason scores ≥7 showed strong cytoplasmic ERp46 staining which was significantly increased compared to normal prostatic tissue (p = 0.02). ERp46 staining in prostate tumors of Gleason scores ≤6, however, was not different compared to normal prostate tissue. The stably transfected human prostate carcinoma 22Rv1 cells expressed 89% knockdown of ERp46 protein expression (shERp46) or a 4-fold increase in ERp46 protein expression (ERp46+) compared to the respective control cells. In vitro, shERp46 cells proliferated slower, whereas ERp46+ cells exhibited accelerated growth compared to corresponding control cells (p<0.05). Similarly, the tumor volume of subcutaneously growing shERp46 cells in nude mice led to significantly slower tumor growth (p<0.0005, ANOVA). Vice versa, tumors from ERp46+ cells were significantly larger than the tumor volume of shControl-cell injected mice (p = 0.02, ANOVA). Gene expression analysis confirmed the downregulation and upregulation of ERp46 in the corresponding xenografts and also showed several candidate genes, including NAAA, SH3BP4 and ID1 that were reciprocally up-and downregulated. In conclusion, this is the first report to suggest a role for ERp46 as an oncogenic protein and potential therapeutic target in prostate cancer given its expression profile in human prostate cancer samples and its effect on prostate cancer cell growth. Funding was provided by Prostate Cancer Canada and McMaster Surgical Associates (JHP and WCMD) Citation Format: Jehonathan H. Pinthus, Sarah N. Hopmans, Stephanie Federov, Wilhelmina C. Duivenvoorden. ERp46 (thioredoxin domain-containing protein 5, TXND5) promotes prostate cancer growth in vitro and in vivo. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4960. doi:10.1158/1538-7445.AM2015-4960
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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 ».