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Record W4307931719 · doi:10.1038/s41586-022-05374-w

Nociceptor neurons affect cancer immunosurveillance

2022· article· en· W4307931719 on OpenAlexafffund
Mohammad Balood, Maryam Ahmadi, Tuany Eichwald, Ali Ahmadi, Abdelilah Majdoubi, Karine Roversi, Katiane Roversi, Christopher T. Lucido, Anthony Restaino, Siyi Huang, Lexiang Ji, Kai‐Chih Huang, Elise Semerena, Sini C. Thomas, Alexandro E. Trevino, Hannah Merrison, Alexandre Parrin, Benjamin Doyle, Daniel W. Vermeer, William C. Spanos, Caitlin S. Williamson, Corey R. Seehus, Simmie L. Foster, Hongyue Dai, Chengyi J. Shu, Manu Rangachari, Jacques Thibodeau, Sonia V. del Rincón, Ronny Drapkin, Moutih Rafei, Nader Ghasemlou, Paola D. Vermeer, Clifford J. Woolf, Sébastien Talbot

Bibliographic record

VenueNature · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer, Stress, Anesthesia, and Immune Response
Canadian institutionsQueen's UniversityMcGill UniversityUniversité de MontréalUniversité Laval
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Neurological Disorders and StrokeNational Institute of General Medical SciencesNational Institutes of HealthAzrieli FoundationCanadian Institutes of Health ResearchDr. Miriam and Sheldon G. Adelson Medical Research FoundationCancer Research SocietyUniversity of PennsylvaniaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorNatural Sciences and Engineering Research Council of CanadaFondation Brain Canada
KeywordsNociceptorImmunosurveillanceCalcitonin gene-related peptideCytotoxic T cellCD8Cancer researchImmunologyBiologyNociceptionCell biologyChemistryNeuropeptideMedicineReceptorImmune systemInternal medicineIn vitro

Abstract

fetched live from OpenAlex

Abstract Solid tumors are innervated by nerve fibers that arise from the autonomic and sensory peripheral nervous systems. In prostate cancer, doublecortin-expressing neural progenitors initiate autonomic adrenergic neurogenesis1 which facilitates tumor development and dissemination2, via an angiogenic switch that fuels cancer growth3,4. Similarly, a loss of TP53 drives the reprogramming of tumor-innervating sensory nerves into adrenergic neurons in head and neck tumors, which promotes tumor growth5. However, the impact of tumor neo-innervation by pain-initiating sensory neurons remains unclear. We show that melanoma cells interact with nociceptors, increasing neurite outgrowth, responsiveness to noxious ligands, and neuropeptide release. In turn, CGRP, a nociceptor-produced neuropeptide, directly increases exhaustion of cytotoxic CD8+ T-cells (PD1+Lag3+Tim3+IFNγ-), limiting their capacity to eliminate melanoma. Genetic NaV1.8 or TRPV1 lineage ablation, local pharmacological silencing or blockade of neuropeptide release from tumor-innervating nociceptors, and the antagonism of the CGRP receptor RAMP1, all blunt tumor-infiltrating leukocyte exhaustion, and tumor growth, nearly tripling survival of B16F10-inoculated mice. Inversely, CD8+ T-cell exhaustion increased following optogenetic activation of tumor-innervating NaV1.8 neurons+ and was rescued in sensory neuron depleted mice treated with recombinant CGRP. In comparison to wild-type CD8+ T-cells, RAMP1-/- CD8+ T-cells were protected from undergoing exhaustion when co-transplanted into tumor-bearing Rag1 deficient mice. Single-cell RNA sequencing of patient tumors revealed that intratumoral RAMP1-expressing CD8+ T-cells are more exhausted than their RAMP1 negative counterparts. RAMP1 expression in intratumoral CD8+ T-cells was also associated with resistance to immune checkpoint inhibitor treatment, while RAMP1 overexpression within the tumor correlated with a worse clinical prognosis. We conclude that reducing CGRP release from tumor-innervating nociceptors, by eliminating its immunomodulatory action on cytotoxic CD8+ T-cells, constitutes a useful strategy to safeguard anti-tumor immunity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.287
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations325
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueNature→Same topicCancer, Stress, Anesthesia, and Immune Response→French-language works237,207→