Evidence map›Paper›PMID 33115513›Full record

ArticleStem cell research & therapy2020

Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling.

Chaozhi Tang, Jiakang Ma, Xiuli Liu, Zhengchun Liu

Open access · goldAbstract read
In one paragraph

Article in Stem cell research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

4 authors at 3 institutions in 1 country.

Chaozhi TangDepartment of Urology, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Jiakang MaDepartment of Oncology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, China.
Xiuli LiuDepartment of Oncology, Affiliated Hospital of Guilin Medical University, Guilin, 541001, China.
Zhengchun LiuDepartment of Radiation Oncology, Affiliated Hospital of Guilin Medical University, Guilin, 541001, China. 18624879717@163.com.ORCID 0000-0002-9779-3531
Guilin Medical University · CNFirst Hospital of China Medical University · CNSecond Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer (BLCA) is the fifth most common type of cancer worldwide, with high recurrence and progression rates. Although considerable progress has been made in the treatment of BLCA through accurate typing of molecular characteristics, little is known regarding the various genetic and epigenetic changes that have evolved in stem and progenitor cells. To address this issue, we have developed a novel stem cell typing method.

methodsBased on six published genomic datasets, we used 26 stem cell gene sets to classify each dataset. Unsupervised and supervised machine learning methods were used to perform the classification.

resultsWe classified BLCA into three subtypes-high stem cell enrichment (SCE_H), medium stem cell enrichment (SCE_M), and low stem cell enrichment (SCE_L)-based on multiple cross-platform datasets. The stability and reliability of the classification were verified. Compared with the other subtypes, SCE_H had the highest degree of cancer stem cell concentration, highest level of immune cell infiltration, and highest sensitivity not only to predicted anti-PD-1 immunosuppressive therapy but also to conventional chemotherapeutic agents such as cisplatin, sunitinib, and vinblastine; however, this group had the worst prognosis. Comparison of gene set enrichment analysis results for pathway enrichment of various subtypes reveals that the SCE_H subtype activates the important pathways regulating cancer occurrence, development, and even poor prognosis, including epithelial-mesenchymal transition, hypoxia, angiogenesis, KRAS signal upregulation, interleukin 6-mediated JAK-STAT signaling pathway, and inflammatory response. Two identified pairs of transcription factors, GRHL2 and GATA6 and IRF5 and GATA3, possibly have opposite regulatory effects on SCE_H and SCE_L, respectively.

conclusionsThe identification of BLCA subtypes based on cancer stem cell gene sets revealed the complex mechanism of carcinogenesis of BLCA and provides a new direction for the diagnosis and treatment of BLCA.

Indexed as

Urinary Bladder NeoplasmsDNA-Binding ProteinsGATA3 Transcription FactorGATA6 Transcription FactorGene Expression Regulation, NeoplasticGenomicsHumansInterferon Regulatory FactorsReproducibility of ResultsStem CellsTranscription FactorsDNA-Binding ProteinsGATA3 protein, humanGATA3 Transcription FactorGATA6 protein, humanGATA6 Transcription FactorGRHL2 protein, humanInterferon Regulatory FactorsIRF5 protein, humanTranscription FactorsBladder cancerEpithelial-mesenchymal transitionHypoxiaImmune microenvironmentImmunotherapyStem cells

Identifiers

PMID33115513
PMCPMC7594303
OpenAlexW3097384907

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.