MétaCan
Menu
Retour à la cohorte
Enregistrement W4405041624 · doi:10.1182/blood-2024-202013

Inflammatory Reprogramming of the Tumor Microenvironment By Clonal Hematopoiesis Is Associated with Clinical Outcomes in Solid Cancer

2024· article· en· W4405041624 sur OpenAlexaff
Marco M. Buttigieg, Caitlyn Vlasschaert, Robert J. Vanner, Michael J. Rauh

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueErythrocyte Function and Pathophysiology
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health NetworkQueen's University
Organismes subventionnairesnon disponible
Mots-clésSolid tumorHematologic NeoplasmsTumor microenvironmentReprogrammingCancerCancer researchHaematopoiesisBiologyMedicineImmunologyTumor cellsInternal medicineGeneticsStem cellCell

Résumé

récupéré en direct d'OpenAlex

Background: Clonal hematopoiesis (CH) drives systemic inflammation and chronic disease with aging. In solid tumor patients, CH is common and has context-dependent effects on survival outcomes. CH mutations promote both pro- and anti-tumor immune phenotypes in solid tumor models, although implications in human cancer are still unclear. We present a multi-omics characterization of CH in the tumor microenvironment (TME) to evaluate the biomarker potential of CH in oncology. Methods: This study used the data of 1,550 patients from the Clinical Proteomics Tumor Analysis Consortium (CPTAC) and 8,927 patients from The Cancer Genome Atlas (TCGA) cohorts. Patients were treatment-naïve and mainly had local disease. Somatic variants in peripheral blood and tumor whole exome sequencing (WES) were detected using GATK-Mutect2, and CH status was ascertained as described previously (PMID: 36652671). Cox proportional hazard models controlled for age, sex, tumor type, metastatic status, and smoking were used to assess overall survival (OS). Differential expression analysis was conducted using DESeq2 and limma for tumor bulk RNA-seq and mass spectrometry proteomics data, followed by gene set enrichment analysis. Immune cell abundance was estimated using CIBERSORTx. Results: 349 CH mutations were identified in 18.3% of patients in CPTAC, and CH was strongly associated with age (p=1.6x10-11). CH mutations were most frequent in epigenetic regulators DNMT3A and TET2 (37.8%, n=132; 20.6%, n=72). In 103 patients with CH, the mutation called in peripheral blood WES was also present in tumor WES (CH-Tum). CH-Tum was associated with higher tumor immune infiltrate (p= 0.003) and peripheral blood VAF ≥10% (p=8.6x10-10). In TCGA, the prevalence of CH was 8.74% (n=780/8,927); however, CH detection was related to WES depth. CPTAC had significantly higher average depth than TCGA (248x vs 94x, p=0), and higher coverage of the most common CH drivers (DNMT3A 215x vs. 77x, p=0; TET2 312x vs 44x, p=0). In CPTAC, CH-Tum, but not CH, was associated with worse OS (CH-Tum HR = 1.74 [1.13-2.69]; CH HR = 1.12 [0.83-1.50]). CH-Tum was also associated with a reduced likelihood of patients being classified as tumor free at follow up (OR = 0.39 [0.19-0.82]). Across cancers, CH-Tum was associated with elevated expression of inflammatory markers like IL1A and the S100 alarmins, enrichment of HALLMARK pathways including IL6-JAK-STAT signalling, angiogenesis, and the epithelial mesenchymal transition (EMT) in tumor RNA-seq. Furthermore, gene sets predictive of immune checkpoint inhibitor response were upregulated in tumors from patients with CH. CH-Tum correlated with higher macrophage, neutrophil, and regulatory T cell signatures within the tumor. Gene expression changes and clinical outcomes related to CH varied between cancer types. Glioblastoma multiforme (GBM) stood out with prominent enrichment of numerous inflammatory pathways and macrophage infiltration, accompanied by worse OS with CH-Tum (HR = 3.63 [1.21-10.9]). There was a nominal trend towards GBM cases with CH-Tum adopting the aggressive, immune-rich mesenchymal phenotype (OR=6.55 [0.70-61.1]), as well as significant enrichment of glioma stem cell signatures. Even within the mesenchymal GBM cases, CH-Tum was associated with enrichment of inflammatory signalling, angiogenesis, and mitogenic signalling, trending strongly towards worse OS in multivariate analysis (HR=3.82 [0.99-14.7]). Conclusion: CH is common in treatment-naïve solid cancer patients, and the infiltration of CH-mutant leukocytes into the TME is associated with poor prognosis across cancers. CH-Tum is correlated with more pronounced inflammatory dysregulation, altered immune infiltrates, and cancer hallmarks like angiogenesis and EMT, suggesting that clonal burden in the blood may not be the sole determinant of non-hematologic outcomes with CH. Rather, the degree of mutant cell infiltration of the tumor - or any tissue - may be a paradigm for understanding the connection between CH and chronic disease. Heterogeneity of outcomes across different cancer types also supports a role for the local microenvironment in dictating the effects of CH, as suggested by the exacerbation of immune-rich, mesenchymal GBM phenotypes observed with CH-Tum. As more is uncovered about CH in the solid tumor context, CH-Tum presents a promising new biomarker for improving outcomes in the era of immuno-oncology.

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)0,000
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,249

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
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 Opus0,016
Tête enseignante GPT0,296
Écart entre enseignants0,280 · 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'étudeObservationnel
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
Publié2024
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetErythrocyte Function and PathophysiologyTravaux en français237 207