Evidence map›Paper›PMID 33816497›Full record

ArticleFrontiers in cell and developmental biology2021

Identification of an Immune-Related Risk Signature Correlates With Immunophenotype and Predicts Anti-PD-L1 Efficacy of Urothelial Cancer.

Pengju Li, Shihui Hao, Yongkang Ye, Jinhuan Wei, Yiming Tang, Lei Tan, Zhuangyao Liao, Mingxiao Zhang, Jiaying Li, Chengpeng Gui and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 13 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

16 authors at 4 institutions in 1 country.

Pengju LiDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Shihui HaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yongkang YeDepartment of Urology, Dongguan People's Hospital, Affiliated to Southern Medical University, Dongguan, China.
Jinhuan WeiDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yiming TangDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Lei TanDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Zhuangyao LiaoDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Mingxiao ZhangDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiaying LiDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Chengpeng GuiDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiefei XiaoDepartment of Extracorporeal Circulation, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yong HuangDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xu ChenDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiazheng CaoDepartment of Urology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yet-sen University, Jiangmen, China.
Junhang LuoDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Wei ChenDepartment of Urology, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
The First Affiliated Hospital, Sun Yat-sen University · CNSun Yat-sen University · CNJiangmen Central Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitor (ICI) treatment has been used to treat advanced urothelial cancer. Molecular markers might improve risk stratification and prediction of ICI benefit for urothelial cancer patients. We analyzed 406 cases of bladder urothelial cancer from The Cancer Genome Atlas (TCGA) data set and identified 161 messenger RNAs (mRNAs) as differentially expressed immunity genes (DEIGs). Using the LASSO Cox regression model, an eight-mRNA-based risk signature was built. We validated the prognostic and predictive accuracy of this immune-related risk signature in 348 metastatic urothelial cancer (mUC) samples treated with anti-PD-L1 (atezolizumab) from IMvigor210. We built an immune-related risk signature based on the eight mRNAs: ANXA1, IL22, IL9R, KLRK1, LRP1, NRG3, SEMA6D, and STAP2. The eight-mRNA-based risk signature successfully categorizes patients into high-risk and low-risk groups. Overall survival was significantly different between these groups, regardless if the initial TCGA training set, the internal TCGA testing set, all TCGA set, or the ICI treatment set. The hazard ratio (HR) of the high-risk group to the low-risk group was 3.65 (

Indexed as

immune checkpoint inhibitorimmune-related risk signatureimmunity genetumor microenvironmenturothelial cancer

Identifiers

PMID33816497
PMCPMC8012532
OpenAlexW3159358997

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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 OpenQuestion graph.