Evidence map›Paper›PMID 41199110›Full record

ReviewMolecular and cellular biochemistry2026

Advancements in single-cell sequencing for cervical cancer research.

Congli Pu, Biyuan Xing, Shujie Wang, Zhao Liu, Yingchao Zhao

Abstract readReview
In one paragraph

Review in Molecular and cellular biochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Congli Pu *Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Biyuan Xing *Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Shujie WangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Zhao LiuCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. 2010xh0835@hust.edu.cn.
Yingchao ZhaoCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China. yingchaozhao@icloud.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell sequencing has revolutionized our understanding of cervical cancer (CC), revealing unprecedented cellular heterogeneity, tumor microenvironment (TME) dynamics, and molecular mechanisms underlying progression and therapy resistance. These technologies have identified distinct molecular subtypes (hypoxic, proliferative, and immunoreactive) and epithelial states (cytokeratin⁺, immune-interacting, and senescent), while uncovering HPV-driven oncogenic mechanisms, including viral integration hotspots (e.g., 8q24.21) and immune evasion strategies (e.g., SPP1⁺ TAMs and GALNT3-mediated immunosuppression). Metabolic reprogramming further stratifies tumors into spatially organized Warburg effect and OXPHOS-dominant niches, each associated with unique immune infiltration patterns. The TME exhibits a complex interplay between exhausted PD-1⁺LAG3⁺TIM3⁺ T cells, immunosuppressive stromal cells (MYH9⁺ CAFs, PODXL⁺ ECs), and rare but potent effector populations (FGFBP2⁺ NK cells, CXCL13⁺ TRMs). Despite these advances, clinical translation faces challenges, including resistance mechanisms (NFKB1 mutations, BCL10⁺ Treg suppression) and a lack of inhibitors for key targets (PCLAF⁺ TAEpis, MYH9⁺ CAFs). Promising therapeutic strategies include epigenetic modulation (SALL4), sialylation inhibition (GALNT3/12), and immune-stromal co-targeting (PD-1 + LAG3/TIM3, NRG1-ERBB3 blockade). Future efforts must prioritize functional validation of novel targets (DKK2, ELF3), spatial multi-omics to resolve CAF-immune-metabolic crosstalk, and biomarker-driven clinical trials integrating single-cell classifiers. By bridging single-cell insights with mechanistic and translational studies, the field can overcome stromal-mediated resistance and usher in an era of precision immunotherapy for CC.

Indexed as

Single-Cell AnalysisTumor MicroenvironmentUterine Cervical NeoplasmsFemaleHumansBiomarkersCervical cancerImmunotherapyPrecision medicineSingle-Cell Sequencing

Identifiers

PMID41199110
PMCPMC12963097

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.