Evidence map›Paper›PMID 34794456›Full record

ArticleRadiation oncology (London, England)2021

Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy.

Junjie Shen, Jingfang Liu, Huijun Li, Lu Bai, Zixuan Du, Ruirui Geng, Jianping Cao, Peng Sun, Zaixiang Tang

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2021. 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
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

9 authors at 2 institutions in 1 country.

Junjie Shen *Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China.
Jingfang Liu *Department of Gynaecology and Obstetrics, The First Affiliated Hospital of Soochow University, Suzhou, 215123, China.
Huijun LiDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China.
Lu BaiDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China.
Zixuan DuDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China.
Ruirui GengDepartment of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China.
Jianping CaoSchool of Radiation Medicine and Protection and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou, 215006, China.
Peng Sun *Department of Otolaryngology, The First Affiliated Hospital of Soochow University, Suzhou, 215123, China. entsunpeng@126.com.
Zaixiang Tang *Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, 215123, China. tangzx@suda.edu.cn.
Soochow University · CNFirst Affiliated Hospital of Soochow University · CN

Funding

National Natural Science Foundation of China 81773541
6 · The paper itself

Abstract

purposeTo explore the association of genes in "PD-L1 expression and PD-1 check point pathway in cancer" to radiotherapy survival benefit. METHODS AND MATERIALS: Gene expression data and clinical information of cancers were downloaded from TCGA. Radiotherapy survival benefit was defined based on interaction model. Fast backward multivariate Cox regression was performed using stacking multiple interpolation data to identify radio-sensitive (RS) genes.

resultsAmong the 73 genes in PD-L1/PD-1 pathway, we identified 24 RS genes in BRCA data set, 25 RS genes in STAD data set and 20 RS genes in HNSC data set, with some crossover genes. Theoretically, there are two types of RS genes. The expression level of Type I RS genes did not affect patients' overall survival (OS), but when receiving radiotherapy, patients with different expression level of Type I RS genes had varied survival benefit. Oppositely, Type II RS genes affected patients' OS. And when receiving radiotherapy, those with lower OS could benefit a lot. Type II RS genes in BRCA had strong positive correlation and closely biological interactions. When performing cluster analysis using these related Type II RS genes, patients could be divided into RS group and non-RS group in BRCA and METABRIC data sets.

conclusionsOur study explored potential radio-sensitive biomarkers of several main cancer types in an important tumor immune checkpoint pathway and revealed a strong association between this pathway and radiotherapy survival benefit. New types of RS genes could be identified based on expanded definition to RS genes.

Indexed as

B7-H1 AntigenBiomarkers, TumorBreast NeoplasmsFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansMiddle AgedNeoplasmsPrognosisProgrammed Cell Death 1 ReceptorRadiation ToleranceRadiotherapySurvival RateB7-H1 AntigenBiomarkers, TumorCD274 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 ReceptorCancersGene biomarkersInteraction modelPD-1 check point pathwayRadio-sensitivity

Identifiers

PMID34794456
PMCPMC8600865
OpenAlexW3211896758

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.