Evidence map›Paper›PMID 41666923›Full record

ArticleCell reports. Medicine2026

TNF-⍺-mediated myeloid-instructed CD14

Claire Marceaux, Ilariya Tarasova, Daniel Batey, Kenta Yokote, Velimir Gayevskiy, Reema Jain, Marina Leiwe, Laurie Choux, Lucy Riley, Nina Tubau Ribera and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports. Medicine, 2026. 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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Claire MarceauxPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Mebourne, Parkville, VIC, Australia.
Ilariya TarasovaBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Daniel BateyPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Kenta YokotePersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Velimir GayevskiyPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Reema JainPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Mebourne, Parkville, VIC, Australia.
Marina LeiwePersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Mebourne, Parkville, VIC, Australia.
Laurie ChouxPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Lucy RileyPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Nina Tubau RiberaAdvanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Edward YangBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Jack HywoodThe Royal Melbourne Hospital, Parkville, VIC, Australia.
Michael ChristieThe Royal Melbourne Hospital, Parkville, VIC, Australia.
Phillip AntippaDepartment of Surgery, The University of Melbourne, Parkville, VIC, Australia; The Royal Melbourne Hospital, Parkville, VIC, Australia.
Terence P SpeedBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia.
Kelly L RogersAdvanced Technology and Biology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Mebourne, Parkville, VIC, Australia.
Belinda PhipsonBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Mebourne, Parkville, VIC, Australia.
Marie-Liesse Asselin-LabatPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia; Department of Medical Biology, The University of Mebourne, Parkville, VIC, Australia. Electronic address: labat@wehi.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment is composed of diverse immune populations that can either support anti-tumor immunity or promote tumor progression. Myeloid cells are major drivers of immunosuppression, yet therapies targeting them have shown limited success. To uncover mechanisms underlying myeloid-driven immune suppression, we performed spatial multi-omics analyses of non-small cell lung cancer (NSCLC). Independent of oncogenic driver status, tumors stratify into lymphoid-enriched, myeloid-enriched, and mixed immune-infiltrated subtypes. In tumor and adjacent non-malignant lungs, we identify myeloid-instructed CD14

Indexed as

Adenocarcinoma of LungCD4-Positive T-LymphocytesLipopolysaccharide ReceptorsLung NeoplasmsMyeloid CellsTumor Necrosis Factor-alphaCarcinoma, Non-Small-Cell LungFemaleHumansMaleTumor MicroenvironmentCD14 protein, humanLipopolysaccharide ReceptorsTumor Necrosis Factor-alphacell neighborhoodimage mass cytometrymyeloid-instructed T cellsnon-small cell lung cancerspatial proteomicsspatial transcriptomicsTNF⍺trogocytosistumor microenvironment

Identifiers

PMID41666923
PMCPMC12923953

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.