Evidence map›Paper›PMID 41993522›Full record

ArticlebioRxiv : the preprint server for biology2026

STDrug enables spatially informed personalized drug repurposing from spatial transcriptomics.

Yiwen Yang, Thatchayut Unjitwattana, Shu Zhou, Suguru Kadomoto, Xiaotong Yang, Tianao Chen, Abdullah Karaaslanli, Yuheng Du, Wanxing Zhang, Haodong Liang 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.

Yiwen YangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Thatchayut UnjitwattanaDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
Shu ZhouDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Suguru KadomotoDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Xiaotong YangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Tianao ChenDepartment of Electrical and Computer Engineering, University of Michigan, Ann Arbor, MI, USA.
Abdullah KaraaslanliDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Yuheng DuDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Wanxing ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Haodong LiangDepartment of Statistics, University of Michigan, Ann Arbor, MI, USA.
Xuhui GuoDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Evan T KellerDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Lana X GarmireDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug repurposing offers a scalable route to accelerate therapeutic discovery, yet existing approaches based on single-cell RNA sequencing (scRNA-seq) often overlook spatial tissue context, limiting their ability to capture microenvironment-dependent drug responses. Here we present

Identifiers

PMID41993522
PMCPMC13082107

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.