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Enregistrement W4404065332 · doi:10.1136/jitc-2024-sitc2024.0878

878 The immunomodulatory impact of chemotherapy when combined with PD-1 blockade in resectable lung cancers

2024· article· en· W4404065332 sur OpenAlexaff
Sydney Connor, Jiajia Zhang, Khaled Sanber, Tianbei Zhang, Roni Rayes, Rulin Wang, Zhicheng Ji, Isha Gurumurthy, Dipika Singh, Julie S. Deutsch, Janis M. Taube, Srinivasan Yegnasubramanian, J. Spicer, Patrick F. Forde, Hongkai Ji, Drew M. Pardoll, Kellie N. Smith

Notice bibliographique

RevueRegular and Young Investigator Award Abstracts · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueCancer Immunotherapy and Biomarkers
Établissements canadiensMontreal General HospitalMcGill University Health Centre
Organismes subventionnairesnon disponible
Mots-clésBlockadeMedicineChemotherapyLungOncologyInternal medicineCancer researchReceptor

Résumé

récupéré en direct d'OpenAlex

<h3>Background</h3> Neoadjuvant PD-1 blockade combined with chemotherapy(ICB+chemo) is now standard of care for the treatment of resectable non-small cell lung cancer(NSCLC).<sup>1–4</sup> However, the mechanisms underpinning its therapeutic efficacy are largely unexplored, namely if chemotherapy has an immunomodulatory role when combined with checkpoint blockade agents(ICB).<sup>4–6</sup> We and others have shown that CXCL13 is upregulated on tumor-reactive TIL. We use CXCL13 as a surrogate for tumor specificity to better understand the immunomodulatory impact of chemotherapy when combined with ICB. <h3>Methods</h3> TIL from resected lung tumors treated with neoadjuvant PD-1 blockade alone(ICB, n=19) or combined with chemotherapy(ICB+chemo, n=18; NCT02259621) underwent single-cell TCRseq/RNAseq using 10X Genomics’ Single Cell 5’ V(D)J and 5’ DGE kit. Major pathological response(MPR) was ≤10% viable tumor at surgery for neoadjuvant-treated NSCLC patients. After QC, 1.78e6 cells were integrated, a <i>CD8A</i> cutoff was used. Seurat was used to normalize, identify variable features, scaled data, and integrated samples. SAVER imputed dropouts by borrowing information across genes and cells. CXCL13 marked tumor-reactive TIL, imputed expression values &gt;1 were defined as CXCL13+. Spatial transcriptomics using 10X Genomics’ Visium CytAssist Spatial Gene Expression kit was performed on FFPE tissue. <h3>Results</h3> Transcriptomic profiles for 693,603 CD8+TIL clustered into 13 subsets. Cluster proportions did not differ between ICB alone and ICB+chemo cohorts, nor did pseudobulk gene expression. The percent of<i> CXCL13</i>+ in CD8+ TIL did not significantly differ; however, the magnitude of its expression was higher in ICB+chemo TIL(p&lt;2.2e-16). <i>CXCL13</i> was used to select CD8+ TIL with potential tumor specificity. <i>GZMK</i> was notably upregulated in CXCL13+ TIL from the ICB+chemo-treated cohort. TCF7, IL7R, and ETS1, which maintains IL7R expression, were also enriched in ICB+chemo-treated CXCL13+ TIL. In contrast, <i>ITGAE</i>(CD103) and <i>ENTPD1</i>(CD39), indicative of prolonged exposure to/residence in the tumor microenvironment, were enriched in CXCL13+ TIL from ICB alone (p=8.7e-06 and 8.6e-05, respectively). Spatial transcriptomics on a region of regression in a ICB+chemo-treated tumor revealed co-localization of <i>CXCL13</i>+ CD8 TIL with <i>CXCR5</i>+ B cells. Interestingly, GZMK expression was pronounced in the regression area, while GZMB, a canonical marker of effector T cell function, was restricted to an adjacent tumor nest without evidence of regression. <h3>Conclusions</h3> Our findings suggest that CXCL13 may not only mark tumor-reactive TIL, but also plays a role in their anti-tumor function, promoting tumor regression, specifically when chemotherapy is combined with PD-1 blockade. This may operate through increased B cell recruitment. Further validation in ex vivo/in vivo models is needed to elucidate the mechanistic underpinnings of ICB+chemo treatment <h3>Trial Registration</h3> For the ICB treated NSCLC patients enrolled under NA_00092076 at JHU (NCT02259621), samples have already been collected, stored, and published. <h3>References</h3> Hellmann MD, <i>et al</i>. Pathological response after neoadjuvant chemotherapy in resectable non-small-cell lung cancers: proposal for the use of major pathological response as a surrogate endpoint. <i>Lancet Oncol</i> 2014;<b>15</b>(1):e42–50. Pataer A, <i>et al</i>. Histopathologic response criteria predict survival of patients with resected lung cancer after neoadjuvant chemotherapy. <i>J Thorac Oncol</i> 2012;<b>7</b>(5):825–32. Forde PM, <i>et al</i>. Neoadjuvant PD-1 blockade in resectable lung cancer. <i>N Engl J Med</i> 2018;<b>378</b>(21):1976–1986. Forde PM, <i>et al</i>. Neoadjuvant nivolumab plus chemotherapy in resectable lung cancer. <i>N Engl J Med</i> 2022;<b>386</b>(21):1973–1985. Caushi JX, <i>et al</i>. Transcriptional programs of neoantigen-specific TIL in anti-PD-1-treated lung cancers. <i>Nature</i> 2021;<b>596</b>(7870):126–132. Danilova L, <i>et al</i>. The mutation-associated neoantigen functional expansion of specific T cells (MANAFEST) assay: a sensitive platform for monitoring antitumor immunity.<i> Cancer Immunol Res</i> 2018;<b>6</b>(8):888–899. <h3>Ethics Approval</h3> This study was approved by the Institutional Review Boards (IRB) at Johns Hopkins University (JHU), approval number NA_00092076. <b>Consent</b> Written informed consent was obtained from all patients included in this study. A copy of the written consent is available for review by the Editor of this journal.

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)0,001
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,670
Score d'incertitude au seuil0,725

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 Opus0,010
Tête enseignante GPT0,261
Écart entre enseignants0,251 · 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

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