Evidence map›Paper›PMID 34983532›Full record

ArticleCancer cell international2022

The B7H4-PDL1 classifier stratifies immuno-phenotype in cervical cancer.

Lingyan Chen, Jianfeng Dong, Zeying Li, Yu Chen, Yan Zhang

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Lingyan Chen *Department of Oncology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, No. 48 Huaishu Road, Wuxi, 214000, China.
Jianfeng Dong *Department of Pathology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, Wuxi, 214000, China.
Zeying Li *Wuxi Clinical Medical College, Nanjing Medical University, Wuxi, 214000, China.
Yu ChenDepartment of Oncology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, No. 48 Huaishu Road, Wuxi, 214000, China. cyidiom1981@yeah.net.
Yan ZhangDepartment of Oncology, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, No. 48 Huaishu Road, Wuxi, 214000, China. zhangyan2020@njmu.edu.cn.ORCID http://orcid.org/0000-0002-7983-8396
Nanjing Maternity and Child Health Care Hospital · CNShanxi Medical University · CN

Funding

Jiangsu Provincial Maternal and Child Health Research Project F202034Wuxi Double-Hundred Talent Fund Project BJ2020076Wuxi Municipal Bureau on Science and Technology N20201006
6 · The paper itself

Abstract

backgroundIt has been revealed that B7H4 is negatively correlated with PDL1 and identifies immuno-cold tumors in glioma. However, the application of the B7H4-PDL1 classifier in cancers has not been well testified.

methodsA pan-cancer analysis was conducted to evaluate the immunological role of B7H4 using the RNA-sequencing data downloaded from the Cancer Genome Atlas (TCGA). Immunohistochemistry (IHC) and multiplexed quantitative immunofluorescence (QIF) were performed to validate the primary results revealed by bioinformatics analysis.

resultsThe pan-cancer analysis revealed that B7H4 was negatively correlated with PDL1 expression and immune cell infiltration in CeCa. In addition, patients with high B7H4 exhibited the shortest overall survival (OS) and relapse-free survival (RFS) while those with high PDL1 exhibited a better prognosis. Multiplexed QIF showed that B7H4 was mutually exclusive with PDL1 expression and the B7H4-high group exhibited the lowest CD8 + T cell infiltration. Besides, B7H4-high predicted highly proliferative subtypes, which expressed the highest Ki67 antigen. Moreover, B7H4-high also indicated a lower response to multiple therapies.

conclusionsTotally, the B7H4-PDL1 classifier identifies the immunogenicity and predicts proliferative subtypes and limited therapeutic options in CeCa, which may be a convenient and feasible biomarker in clinical practice.

Indexed as

B7H4Pan-cancerPDL1Tumor immunity

Identifiers

PMID34983532
PMCPMC8728907
OpenAlexW4206214980

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.