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

2024· article· en· W4404065332 on 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

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsMontreal General HospitalMcGill University Health Centre
Fundersnot available
KeywordsBlockadeMedicineChemotherapyLungOncologyInternal medicineCancer researchReceptor

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.670
Threshold uncertainty score0.725

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.261
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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