Abstract 4357: Examining the role of end-stage kidney as a potential intermediate stage in the development of renal cell carcinomas; understanding the pathogenesis allowing for early detection
Notice bibliographique
Résumé
Abstract Introduction: Clear cell renal cell carcinoma (CCRCC) and papillary renal cell carcinoma (PRCC) are both thought to arise from the renal proximal tubules. End stage renal disease (ESRD) patients have an increased incidence of developing PRCC and CCRCC. Some studies showed a progenitor cell population that is inherently present in renal tubules, and is significantly increased after renal injury. The studies have also illustrated similarities between these progenitor cells and PRCC & CCRCC; hypothesizing that they are the cell of origin of these tumors. This trend was not observed in other renal cell carcinomas such as chromophobe renal cell carcinoma (chRCC). This study aims to further examine the possible role of ESRD in the development of PRCC and CCRCC to understand this initial step of renal cell carcinoma pathogenesis. Methods: A cohort of n = 39 PRCC, 25 CCRCC, 63 normal, 10 end-stage and 18 chRCC cases were selected. RNA sequencing was performed and differential-gene-expression analysis was conducted between normal, ESRD and tumor using DESeq2 software. Pathway analysis was performed using GSEA. Genes from oncogenic pathways that have been studied to be involved in renal cancer development were selected to perform consensus clustering analysis on Genepattern. Results: Oncogenic and developmental pathways enriched in ESRD are consistently overlapping with that of CCRCC and PRCC tumors. 50% of end-stage developmental pathways are found in both CCRCC and PRCC but only 4.5% in chRCC. 62.4% and 46.4% of end-stage oncogenic pathways are found in CCRCC and PRCC respectively but only 16% in chRCC. Clustering analysis showed ESRD cases clustered together with CCRCC and PRCC groups and not with chRCC. Overall, the ESRD cases exhibited a gene expression profile more closely resembling that of CCRCC and PRCC than chRCC. Conclusion: Our findings support the hypothesis that ESRD provides a favorable environment for tumor growth promoting pathogenesis of both PRCC and CCRCC. The enrichment of the same developmental pathways in both ESRD and the tumors suggests that the progenitor cell population in the renal tubules, mentioned above, could be the origin of both PRCC and CCRCC lesions. Further analysis would allow the uncovering of the pathways that lead to tumor progression from these cells of origin, and can be used to determine biomarkers for early detection of CCRCC and PRCC. This is of particular benefit for those with increased risk as the ESRD patients. Citation Format: Mingyuan Wan, Vincent Castillo, Rola Saleeb. Examining the role of end-stage kidney as a potential intermediate stage in the development of renal cell carcinomas; understanding the pathogenesis allowing for early detection [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4357.
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 | 0,001 | 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) | 0,003 | 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 ».