Evidence map›Paper›PMID 36917087›Full record

ArticleAging2023

Signatures of immune cell infiltration for predicting immune escape and immunotherapy in cervical cancer.

Fuxing Chen, Lingzhi Shen, Ying Wang, Yaping Chen, Xuejiao Pan, Hui Liang, Hu Yu

Open access · hybridFull text read
In one paragraph

Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. GATA1 knockdown enhances CD8Journal of molecular histology · 2026
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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

7 authors at 1 institution in 1 country.

Fuxing ChenZhejiang Provincial Center for Disease Control and Prevention, Institute of Immunization and Prevention, Hangzhou, China.
Lingzhi ShenZhejiang Provincial Center for Disease Control and Prevention, Institute of Immunization and Prevention, Hangzhou, China.
Ying WangZhejiang Provincial Center for Disease Control and Prevention, Institute of Immunization and Prevention, Hangzhou, China.
Yaping ChenZhejiang Provincial Center for Disease Control and Prevention, Institute of Immunization and Prevention, Hangzhou, China.
Xuejiao PanZhejiang Provincial Center for Disease Control and Prevention, Institute of Immunization and Prevention, Hangzhou, China.
Hui LiangZhejiang Provincial Center for Disease Control and Prevention, Institute of Immunization and Prevention, Hangzhou, China.
Hu YuZhejiang Provincial Center for Disease Control and Prevention, Institute of Immunization and Prevention, Hangzhou, China.
Zhejiang Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cervical cancer tumor microenvironment is a diverse and complex ecosystem. Tumor-immune cell infiltration (ICI) may influence immune escape and immunotherapeutic responses. However, the relationship between immune cell infiltrations, immune escape, and immunotherapy in cervical cancer has not been fully clarified. Here, Principal component analysis (PCA) and Tumor immune dysfunction and exclusion (TIDE) were applied to calculate individual ICI scores and probabilities of immune escape, respectively. Through the IMvigor210 and the Cancer Immunome Atlas (TCIA) datasets, we validated the different responses to immunotherapy in two subgroups of patients. Furthermore, therapeutic benefits of different patients were predicted by the pRRophetic package. We found that patients with high ICI scores were prone to immune escape due to the activated JAK-STAT signaling pathway, along with lower CD8+ T cells. High ICI scores patients could benefit more from anti-PD-L1 immunotherapy, and individuals with low scores may be better candidates for the anti-CTLA-4 treatment. Combinations of immunotherapies with targeted inhibitors may improve clinical efficacy and reduce the risk of tumor recurrence. The ICI model not only helps us enhance the cognition of immune escape, but also guides the application of immunotherapy in cervical cancer patients.

Indexed as

Uterine Cervical NeoplasmsCD8-Positive T-LymphocytesEcosystemFemaleHumansImmunotherapyNeoplasm Recurrence, LocalTumor Microenvironmentcervical cancerimmune cell infiltrationimmune escapeimmunotherapy

Identifiers

PMID36917087
PMCPMC10042703
OpenAlexW4324028954

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read30
table measurements read3
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.