Evidence map›Paper›PMID 41035636›Full record

ArticleFrontiers in immunology2025

Integrated multi-omics analysis of single-cell and spatial transcriptomics reveals distinct hpv-associated immune microenvironment features and prognostic signatures in cervical cancer.

Qiuyue Su, Xiangdong Tian, Fucheng Li, Xi Yu, Wenchen Gong, Yurong Chen, Jianan Wang, Siqi Yang, Shaojun Zhang, Qian Zhang and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

11 authors.

Qiuyue Su *Department of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China.
Xiangdong Tian *Department of Endoscopy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin, China.
Fucheng Li *Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Xi YuDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China.
Wenchen GongDepartment of Endoscopy, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin, China.
Yurong ChenDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China.
Jianan WangDepartment of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Siqi YangDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China.
Shaojun ZhangMedical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qian ZhangDepartment of Abdominal Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China.
Shanshan YangDepartment of Gynecological Radiotherapy, Harbin Medical University Cancer Hospital, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cervical cancer (CC) is a highly heterogeneous malignancy primarily driven by persistent infection with high-risk human papillomavirus (HPV). However, comprehensive analyses of heterogeneity in the immune microenvironment, particularly its spatial heterogeneity, between HPV-positive and HPV-negative CC remain limited, despite their critical clinical significance. Methods: We performed single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) sequencing on collected cervical cancer samples, integrating scRNA-seq, ST, and bulk RNA-seq to analyze distinct cell subtypes and characterize their spatial distribution. Multiplex immunofluorescence analysis was further utilized to validate HPV status-specific expression patterns. Cox regression and LASSO regression analyses were used to identify the prognostic signature on the TCGA dataset. Results: Through integrative analysis, we found that HPV-positive samples demonstrated elevated proportions of CD4 Conclusion: Based on integrated multi-omics data, we precisely delineated the spatial transcriptional features of the tumor microenvironment in CC with different HPV statuses, including identifying distinct CD8

Indexed as

PapillomaviridaePapillomavirus InfectionsTranscriptomeTumor MicroenvironmentUterine Cervical NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMultiomicsPrognosisSingle-Cell Analysiscervical cancerHPVprognostic factorsingle-cell sequencingspatial transcriptomicstumor microenvironment

Identifiers

PMID41035636
PMCPMC12481161

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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.