Evidence map›Paper›PMID 33193087›Full record

ArticleFrontiers in endocrinology2020

Immune Cell Confrontation in the Papillary Thyroid Carcinoma Microenvironment.

Zhenyu Xie, Xin Li, Yuzhen He, Song Wu, Shiyue Wang, Jianjian Sun, Yuchen He, Yu Lun, Jian Zhang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 1 pooled it
8.1field-weighted citation impact, top 2% 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

83 citing papers in PubMed, 1 synthesis or guideline pooled it, 107 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  10. Predictive analysis ofOncology letters · 2026
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23 more citing papers are in PubMed but not listed here.

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

9 authors at 2 institutions in 1 country.

Zhenyu XieDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Xin LiDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Yuzhen HeDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Song WuDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Shiyue WangDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Jianjian SunDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Yuchen HeDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Yu LunDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
Jian ZhangDepartment of Vascular and Thyroid Surgery, The First Hospital, China Medical University, Shenyang, China.
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Papillary thyroid cancer has been associated with chronic inflammation. A systematic understanding of immune cell infiltration in PTC is essential for subsequent immune research and new diagnostic and therapeutic strategies. Methods: Three different algorithms, single-sample gene set enrichment analysis (ssGSEA), immune cell marker and CIBERSORT, were used to evaluate immune cell infiltration levels (abundance and proportion) in 10 data sets (The Cancer Genome Atlas [TCGA], GSE3467, GSE3678, GSE5364, GSE27155, GSE33630, GSE50901, GSE53157, GSE58545, and GSE60542; a total of 799 PTC and 194 normal thyroid samples). Consensus unsupervised clustering divided PTC patients into low-immunity and high-immunity groups. Weighted gene coexpression network analysis (WGCNA) and gene set enrichment analysis (GSEA) were used to analyze the potential mechanisms causing differences in the immune response. Results: Compared with normal tissues, PTC tissues had a higher overall immune level and higher abundance levels and proportions of M2 macrophages, Tregs, monocytes, neutrophils, dendritic cells (DCs), mast cells (MCs), and M0 macrophages. Compared with early PTC, advanced PTC showed higher immune infiltration and higher abundance levels and proportions of M2 macrophages, Tregs, monocytes, neutrophils, DCs, MCs, and M0 macrophages. Compared to the low-immunity group, the high-immunity group exhibited more advanced stages, larger tumor sizes, greater lymph node metastases, higher tall-cell PTCs, lower follicular PTC proportions, more BRAF mutations, and fewer RAS mutations. Epstein-Barr virus (EBV) infection was the most significantly enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway for key module genes. Conclusions: In human PTC, M2 macrophages, Tregs, monocytes, neutrophils, DCs, MCs, and M0 macrophages appear to play a tumor-promoting role, while M1 macrophages, CD8+ T cells, B cells, NK cells, and T follicular helper (T

Indexed as

Databases, FactualHumansImmunity, CellularKiller Cells, NaturalLeukocytesMacrophagesThyroid Cancer, PapillaryThyroid NeoplasmsT-Lymphocytes, RegulatoryTumor MicroenvironmentCIBERSORTimmune cell infiltrationimmune escapepapillary thyroid carcinomaTCGAtumor microenvironment

Identifiers

PMID33193087
PMCPMC7642595
OpenAlexW3094583752

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.