Evidence map›Paper›PMID 34458149›Full record

ArticleFrontiers in oncology2021

N6-Methylandenosine-Related lncRNAs Predict Prognosis and Immunotherapy Response in Bladder Cancer.

Yuying Zhang, Baoyi Zhu, Minghui He, Yi Cai, Xiaoling Ying, Chonghe Jiang, Weidong Ji, Jianwen Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  7. RNA NNature reviews. Urology · 2024
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  9. Enhancing mHeliyon · 2024
    Article
  10. Non-coding RNA-Mediated N6-Methyladenosine (mNon-coding RNA research · 2024
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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

8 authors at 5 institutions in 1 country.

Yuying ZhangDepartment of Urology, The Sixth Affiliated Hospital of Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, China.
Baoyi ZhuDepartment of Urology, The Sixth Affiliated Hospital of Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, China.
Minghui HeDepartment of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yi CaiDepartment of Urology, Xiangya Hospital, Central South University, Changsha, China.
Xiaoling YingCenter for Translational Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chonghe JiangDepartment of Urology, The Sixth Affiliated Hospital of Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, China.
Weidong JiCenter for Translational Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jianwen ZengDepartment of Urology, The Sixth Affiliated Hospital of Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, China.
Guangzhou Medical University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNCentral South University · CNSun Yat-sen University · CNThird Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both lncRNAs and the N6-methyladenosine (m6A) modification are key regulators of tumorigenesis and innate immunity. However, little is known about the m6A modification of lncRNAs and their clinical and immune relevance in bladder cancer. In this study, we identified m6A-related lncRNAs using Pearson correlation analysis in The Cancer Genome Atlas (TCGA) and the IMvigor210 datasets. Next, univariate Cox regression was performed using the TCGA dataset to filter prognostic m6A-related lncRNAs, which were further subjected to the least absolute shrinkage and selection operator (LASSO) Cox regression to establish a 12 m6A-related lncRNA prognostic score (m6A-LRS). The m6A-LRS was validated in the IMvigor210 dataset. In addition, high m6A-LRS tumors, characterized by decreased tumor mutation load and neoantigen load, showed poorer response to immunotherapy than those with low m6A-LRS in the IMvigor210 dataset. Further, we constructed an m6A-LRS-based nomogram that demonstrated a strong ability to predict overall survival in patients with bladder cancer. Moreover, enrichment analysis revealed that tumor-associated biological processes, oncogenic signaling, and tumor hallmarks were commonly associated with a high m6A-LRS. Gene set variation analysis also indicated that high m6A-LRS was associated with activation of canonical oncogenic signatures, such as the epithelial-to-mesenchymal transition, cell cycle regulators, and DNA replication, as well as activation of immunosuppressive signatures, such as the T-cell exhaustion and pan-fibroblast-TGF-β response signatures. Furthermore, we observed distinct tumor microenvironment cell infiltration characteristics between high- and low-risk tumors. High m6A-LRS tumors showed reduced infiltration of CD8+ T-cells and enhanced infiltration of macrophages and fibroblasts. Additionally, we established a competing endogenous RNA network based on the12 m6A-related lncRNAs. Finally, three lncRNAs (SNHG16, SBF2-AS1, and BDNF-AS) were selected for further validation. The qualitative PCR assay on 10 pairs of bladder cancer and adjacent normal control samples validated the differential expression, and methylated RNA immunoprecipitation (MeRIP) analysis demonstrated a robust m6A enrichment in T24 bladder cancer cells compared with normal uroepithelial cells (SVHUC-1). In conclusion, this study introduced an m6A-related lncRNA signature that identified a subgroup of patients with poor prognoses and suboptimal immune responses, thus providing novel approaches for treatment response prediction and patient stratification in bladder cancer.

Indexed as

bladder cancerimmune responselncRNAN6-methyladenosineprognosistumor microenvironment

Identifiers

PMID34458149
PMCPMC8387102
OpenAlexW3193089731

What OpenQuestion 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 OpenQuestion graph.