Evidence map›Paper›PMID 41000931›Full record

ArticlebioRxiv : the preprint server for biology2025

Cancer-induced Nerve Injury Unveils a Sympathetic-to-Sensory Nerve Axis in Head and Neck Cancer.

Andre A Martel Matos, Lisa A McIlvried, Nicole L Horan, Nicole A Rodriguez, Jared I Rothberg, Megan A Atherton, Stephen V Glass, Marci L Nilsen, Nicole N Scheff

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Andre A Martel Matos
Lisa A McIlvried
Nicole L Horan
Nicole A Rodriguez
Jared I Rothberg
Megan A Atherton
Stephen V Glass
Marci L Nilsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is one of the most painful cancers, with patients frequently reporting spontaneous, neuropathic-like pain. While sympathetic and sensory nerves have been individually implicated in cancer progression, whether and how these systems interact to drive pain and tumor growth has remained unclear. Here, we integrate prospective human data with reverse-translational mouse models to reveal that cancer-induced nerve injury unveils crosstalk between sympathetic postganglionic neurons and trigeminal sensory afferents in the tumor microenvironment. In patients, circulating norepinephrine (NE) correlated with spontaneous pain and perineural invasion, identifying a potential sympathetic contribution to disease burden. In mice, aggressive non-immunogenic OSCC tumors evoked spontaneous nociceptive behaviors, elevated tumoral NE, and sensory nerve injury marked by ATF3 expression and hyperexcitability. Tumor-associated sensory neurons acquired adrenergic sensitivity through α1-adrenergic receptor plasticity, while sympathetic neurons exhibited plasticity characterized by sprouting, altered gene expression, and heightened excitability, creating a maladaptive feed-forward loop that amplified nociceptive signaling. Disrupting this sympathetic-sensory communication by sympathectomy or selective ablation of TRPV1⁺ sensory fibers reduced tumor growth, sympathetic tone, and spontaneous pain like behaviors, although sensory adrenergic sensitivity persisted. Together, these findings establish that reciprocal sympathetic-sensory plasticity and crosstalk in the tumor may fuel both OSCC progression and neuropathic like pain. Targeting this peripheral neuroplasticity may offer a translational strategy to limit tumor growth and alleviate pain.

Identifiers

PMID41000931
PMCPMC12458254

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.