Evidence map›Paper›PMID 34485300›Full record

ArticleFrontiers in cell and developmental biology2021

Opposite Roles of Tumor Cell Proliferation and Immune Cell Infiltration in Postoperative Liver Metastasis of PDAC.

Guangfu Wang, Shangnan Dai, Hao Gao, Yong Gao, Lingdi Yin, Kai Zhang, Xumin Huang, Zipeng Lu, Yi Miao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 87% of its field
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Guangfu WangPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shangnan DaiPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Hao GaoPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yong GaoPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Lingdi YinPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Kai ZhangPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xumin HuangPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zipeng LuPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yi MiaoPancreas Center, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CNJiangsu Province Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecurrence of liver metastasis after pancreatectomy is often a predictor of poor prognosis. Comprehensive genomic analysis may contribute to a better understanding of the molecular mechanisms of postoperative liver metastasis and provide new therapeutic targets.

methodsA total of 67 patients from The Cancer Genome Atlas (TCGA) were included in this study. We analyzed differentially expressed genes (DEGs) by R package "DESeq2." Weighted gene co-expression network analysis (WGCNA) was applied to investigate the key modules and hub genes. Immunohistochemistry was used to analyze tumor cell proliferation index and CD4

resultsFunctional analysis of DEGs between the liver metastatic and recurrence-free groups was mainly concentrated in the immune response. The liver metastasis group had lower immune and stroma scores and a higher TP53 mutation rate. WGCNA showed that the genes in key modules related to disease-free survival (DFS) and overall survival (OS) were mainly enriched in the cell proliferation process and tumor immune response. Immunohistochemical analysis showed that the pancreatic cancer cells of patients with early postoperative liver metastasis had higher proliferative activity, while the infiltration of CD4

conclusionOur study suggested that increased immune cell infiltration (especially CD4

Indexed as

cell proliferationimmune cell infiltrationliver metastasispancreatic cancerweighted gene co-expression network analyses

Identifiers

PMID34485300
PMCPMC8415276
OpenAlexW3193627411

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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.