Evidence map›Paper›PMID 36709279›Full record

ArticleBMC urology2023

A prognostic model based on necroptosis-related genes for prognosis and therapy in bladder cancer.

Zeyi Wang, Zhengnan Huang, Xiangqian Cao, Fang Zhang, Jinming Cai, Pengfei Tang, Chenkai Yang, Shengzhou Li, Dong Yu, Yilin Yan and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 3 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

11 authors at 3 institutions in 1 country.

Zeyi Wang *Department of Urology, Shanghai General Hospital of Nanjing Medical University, Shanghai, 200080, China.
Zhengnan Huang *Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Xiangqian Cao *Department of Urology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Fang ZhangDepartment of Urology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Jinming CaiDepartment of Urology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Pengfei TangDepartment of Urology, Shanghai General Hospital of Nanjing Medical University, Shanghai, 200080, China.
Chenkai YangDepartment of Urology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Shengzhou LiDepartment of Urology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China.
Dong YuDepartment of Precision Medicine, Center of Translation Medicine, Naval Medical University, Shanghai, 200082, China. yudong615@126.com.
Yilin YanDepartment of Urology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, China. yyl13338729720@163.com.
Bing ShenDepartment of Urology, Shanghai General Hospital of Nanjing Medical University, Shanghai, 200080, China. urodrshenbing@shsmu.edu.cn.
Shanghai First People's Hospital · CNShanghai Medical College of Fudan University · CNTongji University · CN

Funding

National Natural Science Foundation 92059112Shanghai Songjiang Municipal Science and Technology Commission Natural Science Foundation 20SJKJGG250
6 · The paper itself

Abstract

Bladder cancer, one of the most prevalent malignant cancers, has high rate of recurrence and metastasis. Owing to genomic instability and high-level heterogeneity of bladder cancer, chemotherapy and immunotherapy drugs sensitivity and lack of prognostic markers, the prognosis of bladder cancer is unclear. Necroptosis is a programmed modality of necrotic cell death in a caspase-independent form. Despite the fact that necroptosis plays a critical role in tumor growth, cancer metastasis, and cancer patient prognosis, necroptosis-related gene sets have rarely been studied in bladder cancer. As a result, the development of new necroptosis-related prognostic indicators for bladder cancer patients is critical. Herein, we assessed the necroptosis landscape of bladder cancer patients from The Cancer Genome Atlas database and classified them into two unique necroptosis-related patterns, using the consensus clustering. Then, using five prognosis-related genes, we constructed a prognostic model (risk score), which contained 5 genes (ANXA1, DOK7, FKBP10, MAP1B and SPOCD1). And a nomogram model was also developed to offer the clinic with a more useful prognostic indicator. We found that risk score was significantly associated with clinicopathological characteristics, TIME, and tumor mutation burden in patients with bladder cancer. Moreover, risk score was a valid guide for immunotherapy, chemotherapy, and targeted drugs. In our study, DOK7 was chosen to further verify our prognosis model, and functional assays indicated that knockdown the expression of DOK7 could prompt bladder cancer proliferation and migration. Our work demonstrated the potential role of prognostic model based on necroptosis genes in the prognosis, immune landscape and response efficacy of immunotherapy of bladder cancer.

Indexed as

NecroptosisUrinary Bladder NeoplasmsHumansImmunotherapyNomogramsPrognosisBladder cancerChemotherapyImmunotherapyNecroptosisPrognostic modelTumor immune microenvironment

Identifiers

PMID36709279
PMCPMC9883845
OpenAlexW4318323737

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.