MP20-07 NPTX1 IS A NOVEL SERUM BIOMARKER INDUCED BY ARPI TREATED PROSTATE CANCER AND ENRICHED IN LINEAGE PLASTICITY WITH BRN2 HIGH
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Résumé
You have accessJournal of UrologyCME1 Apr 2023MP20-07 NPTX1 IS A NOVEL SERUM BIOMARKER INDUCED BY ARPI TREATED PROSTATE CANCER AND ENRICHED IN LINEAGE PLASTICITY WITH BRN2 HIGH Takeshi Namekawa, Joshua Scurll, Maxim Kobelev, Dwaipayan Ganguli, Olena Sivak, Martin Gleave, Vancouver, Canada, Eva Corey, Colm Morrissey, and Amina Zoubeidi Takeshi NamekawaTakeshi Namekawa More articles by this author , Joshua ScurllJoshua Scurll More articles by this author , Maxim KobelevMaxim Kobelev More articles by this author , Dwaipayan GanguliDwaipayan Ganguli More articles by this author , Olena SivakOlena Sivak More articles by this author , Martin GleaveMartin Gleave More articles by this author , Vancouver Vancouver More articles by this author , Canada Canada More articles by this author , Eva CoreyEva Corey More articles by this author , Colm MorrisseyColm Morrissey More articles by this author , and Amina ZoubeidiAmina Zoubeidi More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003245.07AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Androgen receptor (AR) pathway inhibition is the first-line therapy for metastatic prostate cancer (PCa). However, tumors invariably develop resistance to ARPI. We previously identified a transcription factor Brain-2 (BRN2), encoded by the gene POU3F2, as a master driver of NEPC which is an aggressive form of AR-independent phenotypes treatment resistant PCa. In this study, we identified a surrogate biomarker of BRN2 activity to monitor the progression of treatment resistant PCa. METHODS: To identify BRN2 serum marker, we analyzed BRN2 ChIPseq data from 2 NEPC and 2 neural-type lung squamous cell carcinoma (nLUSC) cell lines with a focus on shared BRN2 peaks. Annotated peaks from enhancers (EnhancerAtlas) and promoters (genes within 20kb) were selected for secreted proteins and were ranked by correlation with BRN2 expression in PCa patients. Validation of protein expression was performed by western blot. R-PLEX Assay kit was used to measure concentrations in culture media from NCI-H660 cells and in serum from mice with NCI-H660 xenograft or PDX tumors and from human PCa patients. RESULTS: We identified 51 candidate serum biomarkers for BRN2 activity (or expression?) using the methods described above. These biomarkers were ranked based on their expression and correlation with BRN2 expression in PCa patient samples across four public data sets. NPTX1 was identified as the top biomarker of BRN2 expression. We further validated association of NPTX1 and BRN2 expression by BRN2 overexpression in MR42D and 22Rv1, indicating that BRN2 positively regulates NPTX1 expression. Next, we showed that NPTX1 is present in culture media from NCI-H660 cells, and that NPTX1 serum concentration positively correlated with tumor volume in mice with NCI-H660 xenografts and with NPTX1 mRNA expression in LuCaP PDX models. Importantly, evaluation of patients’ samples showed that NPTX1 levels were high in 26/35 CRPC serum samples vs levels in serum of healthy volunteers, and that the NPTX1 serum levels were highest in 4/6 patients with high POU3F2 tumor expression. CONCLUSIONS: We identified and validated NPTX1 as a serum marker that can be readily detected in serum from NEPC patients with BRN2high tumours. Source of Funding: U.S. Army Medical Research and Development Command(W81XWH1810689) © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e277 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Takeshi Namekawa More articles by this author Joshua Scurll More articles by this author Maxim Kobelev More articles by this author Dwaipayan Ganguli More articles by this author Olena Sivak More articles by this author Martin Gleave More articles by this author Vancouver More articles by this author Canada More articles by this author Eva Corey More articles by this author Colm Morrissey More articles by this author Amina Zoubeidi More articles by this author Expand All Advertisement PDF downloadLoading ...
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 | 0,001 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,024 | 0,005 |
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 ».