Evidence map›Paper›PMID 41971992›Full record

ArticleiScience2026

SpaHE-Infil: A spatial heterogeneity framework for decoding TME infiltration from H&E-stained slides.

Fang Wang, Hejia Xu, Xue Wang, Mengyin Wu, Sisi Ding, Lian Duan, Chen Yang, Jiaxuan Li, Xiaosong Ge, Yan Qin and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 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

12 authors.

Fang WangDepartment of Cancer Diagnosis and Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Hejia XuDepartment of Cancer Diagnosis and Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Xue WangWuxi Medical College of Jiangnan University, Wuxi, China.
Mengyin WuSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Sisi DingWuxi Medical College of Jiangnan University, Wuxi, China.
Lian DuanDepartment of Cancer Diagnosis and Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Chen YangWuxi Medical College of Jiangnan University, Wuxi, China.
Jiaxuan LiDepartment of Cancer Diagnosis and Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Xiaosong GeDepartment of Cancer Diagnosis and Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, China.
Yan QinDepartment of Pathology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Xiaowei QiWuxi Medical College of Jiangnan University, Wuxi, China.
Yong MaoDepartment of Cancer Diagnosis and Treatment Center, Affiliated Hospital of Jiangnan University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial distribution of immune cells in the tumor microenvironment (TME) is a key determinant of immunotherapy response, while current methods are limited by sequencing dependence and restricted spatial resolution. We developed SpaHE-Infil, a multimodal computational framework integrating spatial transcriptomics and whole-slide images to train a Random forest model, extracting morphological, textural, and density features to identify 12 core TME cell types

Indexed as

BioinformaticsCancerMedicineMicroenvironment

Identifiers

PMID41971992
PMCPMC13068657

What OpenQuestion holds

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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.