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Enregistrement W4417020112 · doi:10.1182/blood-2025-3619

Inflammatory and oxidative stress biomarkers associated with cognitive function in patients with Hodgkin lymphoma treated with chemotherapy

2025· article· en· W4417020112 sur OpenAlexaff
Tianming Zhao, Hongying Sun, Bryan D. Thompson, Louis T. Lotta, Carla Casulo, Jonathan W. Friedberg, Jamie E. Flerlage, Adam DuVall, Jennifer A. Belsky, Lora Weiselberg, Jerry W. Mitchell, Howard M. Gross, Michelle C. Janelsins, AnnaLynn M. Williams

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer-related cognitive impairment studies
Établissements canadiensInstitute of Cancer Research
Organismes subventionnairesnon disponible
Mots-clésBiomarkerOxidative stressLymphomaCognitionInflammationMalondialdehydeCancerNeuropsychology

Résumé

récupéré en direct d'OpenAlex

Abstract Background Cancer-related cognitive impairment (CRCI) is a common and clinically significant issue among cancer patients, negatively impacting quality of life. Inflammation and oxidative stress are believed to play key roles in the development of CRCI. However, most existing evidence is derived from studies in solid tumors, with limited data available for patients with lymphoma. Given that individuals with Hodgkin lymphoma (HL) are typically diagnosed at a relatively young age and often experience long-term survival, there is a critical need to better understand how inflammation and oxidative stress contribute to CRCI in this population. This knowledge could help identify predictive biomarkers and inform targeted interventions for CRCI. Therefore, we examined levels of inflammatory and oxidative stress biomarkers in patients with HL before and after chemotherapy compared to non-cancer controls and assessed their associations with cognitive function in patients. Methods Serum cytokines (interleukin [IL]–4, 6, 8, 10; tumor necrosis factor [TNF]-α), soluble cytokine receptors [sTNFRI, II]), C-reactive protein (CRP), malondialdehyde (MDA), and 8-iso-prostaglandin F2α (8-iso-PGF2α) were measured in 45 patients with HL before (T1) and after chemotherapy (T2) and 46 age- and sex-matched non-cancer controls assessed at the same time-equivalent points enrolled on URCC10055 through the National Cancer Institute Community Oncology Research Program. A comprehensive neuropsychological test battery measured attention, processing speed, and executive function. Adjusting for age, sex, and body mass index, linear mixed models compared log-transformed biomarker levels in patients vs. controls. Linear regression models examined cross-sectional relationships between log-transformed biomarker levels and cognitive performance in patients controlling for the same covariates; linear regression also estimated their longitudinal associations accounting for cognitive scores at T1. Since these analyses were exploratory, we did not perform multiplicity adjustments. Results Patients and controls had similar baseline characteristics (mean age [SD]: 40.6 [15.0] vs. 41.5 [16.6]; 60.0% vs. 58.7% male; 91.1% vs. 91.3% white; 88.9% vs. 89.1% ≥some college). Most patients were in stage I or II (58.5%) and diagnosed with classical HL (84.4%). Patients had higher sTNFRII and CRP levels than controls at T1 and T2, whereas patients had lower MDA levels at T2 (all P<0.05). CRP, MDA, and 8-iso-PGF2α levels decreased over time in patients vs. controls (all P<0.05). Among HL, at T1, higher IL-6 (β= -5.05; 95%CI= -9.15, -0.94; P=0.017) and IL-8 (β= -5.84; 95%CI= -11.51, -0.18; P=0.044) were associated with better focused attention (Trail Making Test-A [TMT-A]); higher TNF-α (β= -0.21; 95%CI= -0.39, -0.02; P=0.033) and sTNFRI (β= -0.25; 95%CI= -0.48, -0.02; P=0.034) were associated with better working memory (One Touch Stockings of Cambridge [OTS]). At T2, higher TNF-α, sTNFRI, and sTNFRII were associated with worse sustained attention (Backward Counting Test [BCT]; β=18.78; 95%CI=0.19, 37.38; P=0.048), focused attention (TMT-A; β=16.33; 95%CI=1.98, 30.67; P=0.027), and working memory (OTS: β=0.27; 95%CI=0.01, 0.53; P=0.046), respectively. Higher sTNFRI and sTNFRII levels at T1 were associated with improvement in verbal fluency (Controlled Oral Word Association [COWA]: β=0.26; 95%CI=0.05, 0.47; P=0.016) and worsening in working memory (OTS: β=2.19; 95%CI=0.16, 4.22; P=0.036), respectively. Longitudinally, increases in MDA were associated with declines in focused attention (TMT-A: β=17.05; 95%CI=2.90, 31.20; P=0.020).Conclusions: Our study highlights the complexity of inflammatory and oxidative stress contributing to CRCI in patients with HL. Compared to controls, patients had greater inflammation pre- and post-chemotherapy, evidenced by higher sTNFRII and CRP levels. However, oxidative stress levels decreased over time in patients, suggesting that chemotherapy may help reduce oxidative stress but not completely remediate the pro-inflammatory burden. Higher sTNFRII levels were associated with executive function impairment both cross-sectionally and prospectively. Increases in MDA were linked to declines in attention and processing speed over time. These findings suggest that immune and oxidative stress markers may serve as early indicators of cognitive vulnerability and potential targets for intervention, warranting future validation in larger studies.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,004
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
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)0,0010,000

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 Opus0,004
Tête enseignante GPT0,212
Écart entre enseignants0,207 · 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 source (Gemma direct ou Codex distillé), 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
Publié2025
Routes d'admission1
Résumé présentoui

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