Evidence map›Paper›PMID 33442423›Full record

ArticleJournal of Cancer2021

Identification of marker genes and cell subtypes in castration-resistant prostate cancer cells.

Xiao-Dan Lin, Ning Lin, Ting-Ting Lin, Yu-Peng Wu, Peng Huang, Zhi-Bin Ke, Yun-Zhi Lin, Shao-Hao Chen, Qing-Shui Zheng, Yong Wei and 3 more

Abstract read
In one paragraph

Article in Journal of Cancer, 2021. 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
–field-weighted citation impact
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.

  1. Chaperonin in health and disease.Molecular biomedicine · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. 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

13 authors.

Xiao-Dan LinDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Ning LinDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Ting-Ting LinDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Yu-Peng WuDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Peng HuangDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Zhi-Bin KeDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Yun-Zhi LinDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Shao-Hao ChenDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Qing-Shui ZhengDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Yong WeiDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Xue-Yi XueDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Rong-Jin LinDepartment of Nursing, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.
Ning XuDepartment of Urology, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diverse tumor cell populations may be the critical roles in relapse and resistance to treatment in prostate cancer patients. This study aimed to identify new marker genes and cell subtypes among castration-resistant prostate cancer (CRPC) cells. We downloaded single-cell RNA seq profiles (GSE67980) from the Gene Expression Omnibus (GEO) database. Principal component (PC) analysis and t-Distributed Stochastic Neighbor Embedding (TSNE) analysis were performed to identify marker genes. CRPC cells were clustered and annotated. GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses among marker genes were performed. A total of 1500 genes with larger standardized variance were obtained. The top 20 genes were demonstrated in each identified 20 PCs. PC with P-value < 0.05 was selected, including PC1, PC7, PC8, and PC14. The TSNE analysis classified cells as two clusters. The top 6 genes in cluster 0 included HBB, CCL5, SLITRK4, GZMB, BBIP1, and PF4V1. Plus, the top 6 genes in cluster 1 included MLEC, CCT8, CCT3, EPCAM, TMPRSS2, EIF4G2. The GO analysis revealed that these marker genes were mainly enriched in RNA catabolic process, translational initiation, mitochondrial inner membrane, cytosolic part, ribosome, cell adhesion molecule binding, cadherin binding, and structural constituent of ribosome. The KEGG analysis showed that these marker genes mainly enriched in metabolism associated pathways, including carbon metabolism, cysteine and methionine metabolism, propanoate metabolism, pyruvate metabolism, and citrate cycle pathways. To conclude, our results provide essential insights into the spectrum of cellular heterogeneity within human CRPC cells. These marker genes, GO terms and pathways may be critical in the development and progression of human CRPC.

Indexed as

castration-resistant prostate cancer cellscell subtypesmarker genessingle-cell RNA-seq

Identifiers

PMID33442423
PMCPMC7797644

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.