Evidence map›Paper›PMID 32656582›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2021

Immune cell infiltration features and related marker genes in lung cancer based on single-cell RNA-seq.

R Zhong, D Chen, S Cao, J Li, B Han, H Zhong

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 46 citations in OpenAlex.

  1. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  2. Identification and validation of a CD4BMC gastroenterology · 2025
    Article
  3. Review
  4. Role of CD4Journal of translational medicine · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. International journal of general medicine · 2023
    Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

R ZhongDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Huaihai West Road No. 241, Shanghai, 200030, China.ORCID http://orcid.org/0000-0001-8959-2062
D ChenDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Huaihai West Road No. 241, Shanghai, 200030, China.
S CaoDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Huaihai West Road No. 241, Shanghai, 200030, China.
J LiDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Huaihai West Road No. 241, Shanghai, 200030, China.
B HanDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Huaihai West Road No. 241, Shanghai, 200030, China.
H ZhongDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Huaihai West Road No. 241, Shanghai, 200030, China. eddiedong8@hotmail.com.ORCID http://orcid.org/0000-0002-6953-1155
Shanghai Chest Hospital · CN

Funding

Natural Science Foundation of Shanghai 19ZR1449700
6 · The paper itself

Abstract

purposeImmune cells in the immune microenvironment of lung cancer have a great impact on the development of lung cancer. Our purpose was to analyze the immune cell infiltration features and related marker genes for lung cancer.

methodsSingle cell RNA sequencing data of 11,485 lung cancer cells were retrieved from the Gene Expression Omnibus. After quality control and data normalization, cell clustering was performed using the Seurat package. Based on the marker genes of each cell type from the CellMarker database, each cell was divided into G1, G2M, and S phases. Then, differential expression and functional enrichment analyses were performed. CIBERSORT was used to reconstruct immune cell types.

resultsFollowing cell filtering, highly variable genes were identified for all cells. 14 cell types were clustered. Among them, CD4 + T cell, B cell, plasma cell, natural killer cell and cancer stem cell were the top five cell types. Up-regulated genes were mainly enriched in immune-related biological processes and pathways. Using CIBERSORT, we identified the significantly higher fractions of naïve B cell, memory CD4 + T cell, T follicular helper cell, T regulatory helper cell and M1 macrophage in lung cancer tissues compared to normal tissues. Furthermore, the fractions of resting NK cell, monocyte, M0 macrophage, resting mast cell, eosinophil and neutrophil were significantly lower in tumor tissues than normal tissues.

conclusionOur findings dissected the immune cell infiltration features and related marker genes for lung cancer, which might provide novel insights for the immunotherapy of lung cancer.

Indexed as

Immunity, CellularB-LymphocytesCD4-Positive T-LymphocytesCell CycleDatabases, GeneticGene ExpressionGenetic MarkersHumansKiller Cells, NaturalLung NeoplasmsMacrophagesNeoplastic Stem CellsPlasma CellsRNA-SeqT Follicular Helper CellsT-Lymphocytes, RegulatoryGenetic MarkersCell cycleImmune cellsLung cancerMarker genesSingle cell RNA sequencing

Identifiers

PMID32656582
OpenAlexW3041614402

What OpenQuestion holds

Textmetadata
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.