Evidence map›Paper›PMID 31929742›Full record

ArticleInternational journal of medical sciences2020

Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer.

Zonglong Wu, Muru Wang, Qinggang Liu, Yaxiao Liu, Kejia Zhu, Lipeng Chen, Hongda Guo, Yan Li, Benkang Shi

Open access · goldAbstract read
In one paragraph

Article in International journal of medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Bladder Cancer and Artificial Intelligence: Emerging Applications.The Urologic clinics of North America · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Zonglong WuDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Muru WangDivision of Gastroenterology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.
Qinggang LiuDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Yaxiao LiuDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Kejia ZhuDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Lipeng ChenDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Hongda GuoDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Yan LiDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Benkang ShiDepartment of Urology, Qilu Hospital of Shandong University, Jinan, China.
Qilu Hospital of Shandong University · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer.

Indexed as

Biomarkers, TumorCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesChemokine CXCL10FemaleGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansKiller Cells, NaturalMaleMiddle AgedMutationNeoplasm ProteinsPrognosisSignal TransductionTranscriptomeBiomarkers, TumorChemokine CXCL10CXCL10 protein, humanNeoplasm Proteinsbladder cancergene expression profileimmune cellTCGA databasetumor mutation burden

Identifiers

PMID31929742
PMCPMC6945555
OpenAlexW2998690381

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.