Evidence map›Paper›PMID 42094521›Full record

ArticlebioRxiv : the preprint server for biology2026

Integration of spatial single-cell proteomics and spatial metabolomics reveals tumor microenvironment predictive of immunotherapy response in mucosal melanoma.

Jun Wang, Priyadharsini Nagarajan, Sungnam Cho, Yunhe Liu, Erin H Seeley, Yibo Dai, Yang Liu, Kai Yu, Jared K Burks, Jennifer L McQuade and 3 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

13 authors.

Jun WangDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Priyadharsini NagarajanDepartment of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Sungnam ChoHematopoietic Biology & Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yunhe LiuDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Erin H SeeleyMass Spectrometry Imaging Core Facility, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yibo DaiDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yang LiuDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kai YuDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jared K BurksHematopoietic Biology & Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Jennifer L McQuadeDepartment of Melanoma Medical Oncology, Melanoma Medical Oncology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.
Adi DiabDepartment of Melanoma Medical Oncology, Melanoma Medical Oncology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA.
Linghua WangDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Suhendan EkmekciogluUTHealth Houston Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucosal melanoma (MuM) is a rare but aggressive malignancy with limited benefit from immune checkpoint inhibition and few predictive biomarkers. We integrated single-cell spatial proteomics (COMET) and spatial metabolomics (MALDI-IMS) to profile 97 tissue cores from 26 patients treated with PD-1/PD-L1 and/or CTLA-4 inhibitors. We profiled 695,444 cells and resolved 25 cell states across eight major cell types. Cellular neighborhood (CN) analysis revealed distinct tumor- and stromal-associated spatial architectures. Responders were enriched for tumor-associated CNs (invasive tumor and tumor boundary) with close spatial proximity among Ki67

Indexed as

cellular neighborhooddendritic cellsimmune checkpoint blockademucosal melanomaspatial multi-omicsstroma exclusiontryptophan metabolismtumor associated macrophagestumor microenvironment

Identifiers

PMID42094521
PMCPMC13142330

What Socratic 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 Socratic graph.