Evidence map›Paper›PMID 36386263›Full record

ArticleTranslational andrology and urology2022

Analysis of prognostic oncogene filaggrin (

Liang Chen, Xiaobo Huang, Liulin Xiong, Weinan Chen, Lizhe An, Huanrui Wang, Yang Hong, Huina Wang

Open access · diamondAbstract read
In one paragraph

Article in Translational andrology and urology, 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
0.9field-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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  5. Review
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 2 institutions in 1 country.

Liang ChenUrology and Lithotripsy Center, Peking University People's Hospital, Beijing, China.
Xiaobo HuangUrology and Lithotripsy Center, Peking University People's Hospital, Beijing, China.
Liulin XiongUrology and Lithotripsy Center, Peking University People's Hospital, Beijing, China.
Weinan ChenUrology and Lithotripsy Center, Peking University People's Hospital, Beijing, China.
Lizhe AnUrology and Lithotripsy Center, Peking University People's Hospital, Beijing, China.
Huanrui WangUrology and Lithotripsy Center, Peking University People's Hospital, Beijing, China.
Yang HongUrology and Lithotripsy Center, Peking University People's Hospital, Beijing, China.
Huina WangAcornmed Biotechnology Co., Ltd., Beijing, China.
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder urothelial carcinoma (BLCA) is one of the most common urinary tract malignant tumors. Immune checkpoint blockade (ICB) therapy has significantly progressed the treatment of BLCA. This study aimed to investigate the role of specific genetic mutations that may serve as immune biomarkers for ICB therapy in BLCA. Methods: Mutation information and expression profiles were acquired from The Cancer Genome Atlas (TCGA) database. Integrated bioinformatics analysis was carried out to explore the subtypes with poor prognosis of BLCA. Functional enrichment analysis was also conducted. The infiltrating immune cells and the prediction of ICB response between different subtypes were explored using the immuCellAI algorithm. Cell Counting Kit-8 (CCK-8) and flow cytometry assays were conducted to explore the effect of filaggrin ( Results: An overview of mutation information in BLCA patients was shown. Conclusions:

Indexed as

Bladder urothelial carcinoma (BLCA)filaggrin (FLG)immune checkpoint blockade (ICB)mutationssubtype

Identifiers

PMID36386263
PMCPMC9641059
OpenAlexW4307808992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.