Collections / Cancer-induced nerve injury promotes resistance to anti-PD-1 therapy [Spatial Transcriptomics]

Cancer-induced nerve injury promotes resistance to anti-PD-1 therapy [Spatial Transcriptomics]

Peri-neural invasion (PNI) is a well-established poor prognostic factor in multiple cancer types. However, the mechanisms driving the PNI's detrimental clinical effect remain elusive. Here, we provide clinical and mechanistic insights into PNI and cancer-induced injury of tumor-associated nerves (TANs) and their role in resistance to anti-PD-1 therapy. Our work demonstrates that poor response to anti-PD-1 therapy in cutaneous squamous cell carcinoma (cSCC), melanoma, and gastric cancer is associated with PNI and TANs injury. Ultrastructural electron microscopy analysis reveals that direct contact between cancer cells and nerve fibers leads to cancer-induced nerve injury (CINI) via myelin degradation. Injured neurons respond by autonomously initiating an interleukin (IL)-6 and interferon (IFN) type I inflammatory response. This inflammatory response alters the immune activity in the peri-neural niche in melanoma, cSCC, and pancreatic adenocarcinoma, leading to an immuno-suppressive activity aimed at nerve healing and regeneration. As the tumor grows, the CINI burden increases, the inflammatory signal within the niche becomes chronic, and eventually skews the general immune tone within the tumor microenvironment to a suppressive and exhaustive state. The CINI-driven anti-PD-1 resistance can be reversed by targeting multiple steps in the CINI signaling process: denervating the tumor, conditional knockout of the transcription factor mediating the injury signal within neurons (cKO-Atf3), knockout of the IFN-a receptor signaling (Ifnar1-/-), or by combining anti-PD-1 and anti-IL-6-receptor blockade. Our findings demonstrate the direct immuno-regulatory roles of TANs and their therapeutic potential.

Datasets11
Size~469 MB
AssayVisium
Samplehuman · skin of body
KindOther
Flag a data issue
PMID:40836096 ↗
Python · sddb client
from sddb import Catalog

cohort = Catalog().collection("geo-gse289745")
cohort.members        # the 11 datasets as a table

print(cohort.licenses())              # check the terms before you download

sdatas = cohort.to_dict()             # {uid: SpatialData}, cached locally
# or keep the .zarr files in a folder of your choice:
# sdatas = cohort.to_dict(dest="data/")
Python · lamindb

Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.

import lamindb as ln

db = ln.DB("scverse/spatialdata-db")
coll = db.Collection.get(key="geo-gse289745")
coll.ordered_artifacts.to_dataframe()   # the 11 members, ordered

# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
Shell
# sddb client: download every member .zarr into data/
sddb-cli download --collection geo-gse289745 --dest data/

Licenses: 11 NCBI GEO policy

Open in Vitessce
Visium
Human skin of body
GSM8797982
human skin of body skin squamous cell carcinoma 46.7 MB 2,163 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size46.7 MB
Spots2,163
Magnificationother · 3.529 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797974
human skin of body skin squamous cell carcinoma 28.9 MB 1,274 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size28.9 MB
Spots1,274
Magnificationother · 3.433 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797979
human skin of body skin squamous cell carcinoma 39.3 MB 2,779 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size39.3 MB
Spots2,779
Magnificationother · 3.446 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797973
human skin of body skin squamous cell carcinoma 34.5 MB 2,895 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size34.5 MB
Spots2,895
Magnificationother · 3.506 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797975
human skin of body skin squamous cell carcinoma 18.0 MB 1,514 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size18.0 MB
Spots1,514
Magnificationother · 3.476 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797980
human skin of body skin squamous cell carcinoma 27.7 MB 2,063 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size27.7 MB
Spots2,063
Magnificationother · 3.478 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797981
human skin of body skin squamous cell carcinoma 62.0 MB 2,748 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size62.0 MB
Spots2,748
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797978
human skin of body skin squamous cell carcinoma 58.6 MB 3,195 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size58.6 MB
Spots3,195
Magnificationother · 3.503 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797977
human skin of body skin squamous cell carcinoma 56.2 MB 2,887 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size56.2 MB
Spots2,887
Magnificationother · 3.525 µm/px
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797983
human skin of body skin squamous cell carcinoma 64.1 MB 4,271 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size64.1 MB
Spots4,271
bronze H&E NCBI GEO policy Open in Vitessce
Open in Vitessce
Visium
Human skin of body
GSM8797976
human skin of body skin squamous cell carcinoma 33.4 MB 2,041 spots bronze H&E NCBI GEO policy
TechnologyVisium
Organismhuman
Tissueskin of body
Conditionskin squamous cell carcinoma
Size33.4 MB
Spots2,041
bronze H&E NCBI GEO policy Open in Vitessce

Cite this collection

doi.org/10.1038/s41586-025-09370-8 ↗
BibTeX
@article{Baruch_2025,
  title = {Cancer-induced nerve injury promotes resistance to anti-PD-1 therapy},
  volume = {646},
  ISSN = {1476-4687},
  url = {http://dx.doi.org/10.1038/s41586-025-09370-8},
  DOI = {10.1038/s41586-025-09370-8},
  number = {8084},
  journal = {Nature},
  publisher = {Springer Science and Business Media LLC},
  author = {Baruch, Erez N. and Gleber-Netto, Frederico O. and Nagarajan, Priyadharsini and Rao, Xiayu and Akhter, Shamima and Eichwald, Tuany and Xie, Tongxin and Balood, Mohammad and Adewale, Adebayo and Naara, Shorook and Sathishkumar, Hinduja N. and Islam, Shajedul and McCarthy, William and Mattson, Brandi J. and Ferrarotto, Renata and Wong, Michael K. and Davies, Michael A. and Jindal, Sonali and Basu, Sreyashi and Roversi, Karine and Nikpoor, Amin Reza and Ahmadi, Maryam and Ahmadi, Ali and Harwood, Catherine and Leigh, Irene and Gong, Dennis and Tallón de Lara, Paulino and Tao, Derrick L. and Davidson, Tara M. and Ajami, Nadim J. and Futreal, Andrew and Rai, Kunal and Kochat, Veena and Castillo, Micah and Gunaratne, Preethi and Goepfert, Ryan P. and Hernandez, Sharia D. and Khushalani, Nikhil I. and Wang, Jing and Watowich, Stephanie S. and Calin, George A. and Migden, Michael R. and Yuan, Mona and Liu, Naijiang and Ye, Yi and Hwang, William L. and Vermeer, Paola D. and D’Silva, Nisha J. and Bunimovich, Yuri L. and Yaniv, Dan and Burks, Jared K. and Gomez, Javier and Dougherty, Patrick M. and Tsai, Kenneth Y. and Allison, James P. and Sharma, Padmanee and Wargo, Jennifer A. and Myers, Jeffrey N. and Talbot, Sebastien and Gross, Neil D. and Amit, Moran},
  year = {2025},
  month = Aug,
  pages = {462–473}
}