Evidence map›Paper›PMID 31100099›Full record

ArticlePloS one2019

Alternative polyadenylation of single cells delineates cell types and serves as a prognostic marker in early stage breast cancer.

Nayoung Kim, Woosung Chung, Hye Hyeon Eum, Hae-Ock Lee, Woong-Yang Park

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Omics Technologies Improving Breast Cancer Research and Diagnostics.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Circular RNAs and Untranslated Regions in Acute Myeloid Leukemia.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. The Detection and Bioinformatic Analysis of Alternative 3International journal of molecular sciences · 2021
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

5 authors.

Nayoung KimSamsung Genome Institute, Samsung Medical Center, Seoul, South Korea.
Woosung ChungSamsung Genome Institute, Samsung Medical Center, Seoul, South Korea.
Hye Hyeon EumSamsung Genome Institute, Samsung Medical Center, Seoul, South Korea.
Hae-Ock LeeSamsung Genome Institute, Samsung Medical Center, Seoul, South Korea.ORCID 0000-0001-5123-0322
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative polyadenylation (APA) in 3' untranslated regions (3' UTR) plays an important role in regulating transcript abundance, localization, and interaction with microRNAs. Length-variation of 3'UTRs by APA contributes to efficient proliferation of cancer cells. In this study, we investigated APA in single cancer cells and tumor microenvironment cells to understand the physiological implication of APA in different cell types. We analyzed APA patterns and the expression level of genes from the 515 single-cell RNA sequencing (scRNA-seq) dataset from 11 breast cancer patients. Although the overall 3'UTR length of individual genes was distributed equally in tumor and non-tumor cells, we found a differential pattern of polyadenylation in gene sets between tumor and non-tumor cells. In addition, we found a differential pattern of APA across tumor types using scRNA-seq data from 3 glioblastoma patients and 1 renal cell carcinoma patients. In detail, 1,176 gene sets and 53 genes showed the distinct pattern of 3'UTR shortening and over-expression as signatures for five cell types including B lymphocytes, T lymphocytes, myeloid cells, stromal cells, and breast cancer cells. Functional categories of gene sets for cellular proliferation demonstrated concordant regulation of APA and gene expression specific to cell types. The expression of APA genes in breast cancer was significantly correlated with the clinical outcome of earlier stage breast cancer patients. We identified cell type-specific APA in single cells, which allows the identification of cell types based on 3'UTR length variation in combination with gene expression. Specifically, an immune-specific APA signature in breast cancer could be utilized as a prognostic marker of early stage breast cancer.

Indexed as

Gene Expression Regulation, NeoplasticPolyadenylation3' Untranslated RegionsBiomarkers, TumorBreast NeoplasmsCell ProliferationFemaleGene Expression ProfilingHumansKidney NeoplasmsMicroRNAsPrognosisRNA, MessengerSequence Analysis, RNASingle-Cell AnalysisTumor Microenvironment3' Untranslated RegionsBiomarkers, TumorMicroRNAsRNA, Messenger

Identifiers

PMID31100099
PMCPMC6524824

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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.