Evidence map›Paper›PMID 35958556›Full record

ArticleFrontiers in immunology2022

Single-Cell Transcriptomic Analysis Reveals Macrophage-Tumor Crosstalk in Hepatocellular Carcinoma.

Yunhe Liu, Lin Zhang, Xinyi Ju, Sheng Wang, Jingbo Qie

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

28 citing papers in PubMed, 32 citations in OpenAlex.

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  8. SPP1Scientific reports · 2025
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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.

Yunhe LiuDepartment of Clinical Laboratory Medicine, Shanghai Fifth People's Hospital, Fudan University and Institute of Biomedical Sciences, Fudan University, Shanghai, China.
Lin ZhangCenter of Emergency and Intensive Care Unit, Jinshan Hospital, Fudan University, Shanghai, China.
Xinyi JuSTEM Club, Pinetree Secondary School, British Columbia, Canada.
Sheng WangDepartment of Clinical Laboratory Medicine, Shanghai Fifth People's Hospital, Fudan University and Institute of Biomedical Sciences, Fudan University, Shanghai, China.
Jingbo QieDepartment of Clinical Laboratory Medicine, Shanghai Fifth People's Hospital, Fudan University and Institute of Biomedical Sciences, Fudan University, Shanghai, China.
Fudan University · CNJinshan Hospital of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of the most malignant cancer, hepatocellular carcinoma (HCC) has a complex ecosystem featured by high heterogeneity. Cell crosstalk is demonstrated to be critical for HCC development. However, the cell communication orchestration in HCC remains largely unknown. Here, by analyzing the single-cell transcriptomes of the primary tumor tissues (n = 10) and tumor-adjacent tissues (n = 8) derived from 10 patients with HCC, we found that the proportions of plasmacytoid dendritic cells (pDCs) and natural killer (NK) cells were reduced and that the proportion of macrophages was increased in the immune component of the primary tumor, compared with those in the tumor-adjacent tissue. Furthermore, we found widespread communication between macrophage populations and other cell types, and this communication was remarkably strengthened in the primary tumor, especially with HCC malignant cells. In addition, the SPP1-CD44 axis was identified as a unique interaction between macrophages and HCC malignant cells. Our comprehensive portrait of cell communication patterns over the HCC ecosystem reveals further insights into immune infiltration.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsEcosystemHumansMacrophagesTranscriptomeCellPhoneDBcrosstalkhepatocellular carcinomainteractionsingle-cell

Identifiers

PMID35958556
PMCPMC9359093
OpenAlexW4287838990

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.