Evidence map›Paper›PMID 33759378›Full record

ArticleJournal of cellular and molecular medicine2021

Single-cell analysis reveals metastatic cell heterogeneity in clear cell renal cell carcinoma.

Kun Liu, Rui Gao, Hao Wu, Zhe Wang, Guang Han

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Disulfidptosis: A New Target for Parkinson's Disease and Cancer.Current issues in molecular biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Journal of gastrointestinal oncology · 2023
    Article
  11. Review
  12. Single-cell RNA sequencing for the study of kidney disease.Molecular medicine (Cambridge, Mass.) · 2023
    Review
  13. Article
  14. Single-cell technologies: From research to application.Innovation (Cambridge (Mass.)) · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Actin gamma 1 is a critical regulator of pancreatic ductal adenocarcinoma.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association
    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

5 authors at 2 institutions in 1 country.

Kun LiuDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Rui GaoDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Hao WuDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.
Zhe WangDepartment of Gastrointestinal Oncology, Cancer Hospital of China Medical University Liaoning Cancer Hospital & Institute, Shenyang, China.
Guang HanDepartment of Anesthesiology, Shengjing Hospital of China Medical University, Shenyang, China.ORCID 0000-0001-7117-4241
China Medical University · CNLiaoning Cancer Hospital & Institute · CN

Funding

345 Talent Project of Shengjing Hospital.National Nature Science Foundation of China 82071242Natural Science Foundation of Liaoning Province 20180550781
6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is one of the leading causes of cancer-related death worldwide. Tumour metastasis and heterogeneity lead to poor survival outcomes and drug resistance in patients with metastatic RCC (mRCC). In this study, we aimed to assess intratumoural heterogeneity (ITH) in mRCC cells by performing a combined analysis of bulk data and single-cell RNA-sequencing data, and develop novel biomarkers for prognosis prediction on the basis of the potential molecular mechanisms underlying tumorigenesis. Eligible single-cell cohorts related to mRCC were acquired using the Gene Expression Omnibus (GEO) dataset to identify potential mRCC subpopulations. We then performed gene set variation analysis to understand the differential function in primary RCC and mRCC samples. Subsequently, we applied weighted correlation network analysis to identify coexpressing gene modules that were related to the external trait of metastasis. Protein-protein interactions were used to screen hub subpopulation-difference (sub-dif) markers (ACTG1, IL6, CASP3, ACTB and RAP1B) that might be involved in the regulation of RCC metastasis and progression. Cox regression analysis revealed that ACTG1 was a protective factor (HR < 1), whereas the other four genes (IL6, CASP3, ACTB and RAP1B) were risk factors (HR > 1). Kaplan-Meier survival analysis suggested the potential prognostic value of these sub-dif markers. The expression of sub-dif markers in mRCC was further evaluated in clinical samples by immunohistochemistry (IHC). Additionally, the genetic features of sub-dif marker expression patterns, such as genetic variation profiles, correlations with tumour-infiltrating lymphocytes (TILs), and targeted signalling pathway activities, were assessed in bulk RNA-seq datasets. In conclusion, we established novel subpopulation markers as key prognostic factors affecting EMT-related signalling pathway activation in mRCC, which could facilitate the implementation of a treatment for mRCC patients.

Indexed as

Epithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticBiomarkers, TumorCarcinoma, Renal CellHumansKidney NeoplasmsPrognosisRNA-SeqSingle-Cell AnalysisSurvival RateBiomarkers, Tumorepithelial-mesenchymal transitionintratumour heterogeneitymetastatic renal cell carcinomasingle-cell analysistumour microenvironment

Identifiers

PMID33759378
PMCPMC8093989
OpenAlexW3138864206

What OpenQuestion holds

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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.