Evidence map›Paper›PMID 35983702›Full record

ReviewMolecules and cells2022

Transcriptional Heterogeneity of Cellular Senescence in Cancer.

Muhammad Junaid, Aejin Lee, Jaehyung Kim, Tae Jun Park, Su Bin Lim

Open access · diamondAbstract readReview
In one paragraph

Review in Molecules and cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Metabolic regulation of endothelial senescence.Frontiers in cardiovascular medicine · 2023
    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 at 1 institution in 1 country.

Muhammad JunaidDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID https://orcid.org/0000-0002-6076-012X
Aejin LeeDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID https://orcid.org/0000-0001-7780-4961
Jaehyung KimDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID https://orcid.org/0000-0003-2568-9951
Tae Jun ParkDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID https://orcid.org/0000-0002-8862-1834
Su Bin LimDepartment of Biochemistry and Molecular Biology, Ajou University School of Medicine, Suwon 16499, Korea.ORCID https://orcid.org/0000-0003-1752-7039
Ajou University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular senescence plays a paradoxical role in tumorigenesis through the expression of diverse senescence-associated (SA) secretory phenotypes (SASPs). The heterogeneity of SA gene expression in cancer cells not only promotes cancer stemness but also protects these cells from chemotherapy. Despite the potential correlation between cancer and SA biomarkers, many transcriptional changes across distinct cell populations remain largely unknown. During the past decade, single-cell RNA sequencing (scRNA-seq) technologies have emerged as powerful experimental and analytical tools to dissect such diverse senescence-derived transcriptional changes. Here, we review the recent sequencing efforts that successfully characterized scRNA-seq data obtained from diverse cancer cells and elucidated the role of senescent cells in tumor malignancy. We further highlight the functional implications of SA genes expressed specifically in cancer and stromal cell populations in the tumor microenvironment. Translational research leveraging scRNA-seq profiling of SA genes will facilitate the identification of novel expression patterns underlying cancer susceptibility, providing new therapeutic opportunities in the era of precision medicine.

Indexed as

Cellular SenescenceNeoplasmsBiomarkersHumansSingle-Cell AnalysisTumor MicroenvironmentBiomarkerscancercellular heterogeneitysenescencesingle-cell RNA sequencing

Identifiers

PMID35983702
PMCPMC9448649
OpenAlexW4292336398

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.