Evidence map›Paper›PMID 33216732›Full record

ArticleAging2020

Oncostatin M expression and

Qi Liu, Tian Lan, Yuxuan Song, Jianpeng Cai, Xi Yu, Wei Chen

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Qi LiuDepartment of Pancreatico-Biliary Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Tian LanDepartment of Pancreatico-Biliary Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Yuxuan SongDepartment of Urology, Tianjin Medical University General Hospital, Tianjin 300052, China.
Jianpeng CaiDepartment of Pancreatico-Biliary Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Xi YuDepartment of Pancreatico-Biliary Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Wei ChenDepartment of Pancreatico-Biliary Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNTianjin Medical University General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we used bioinformatics tools to analyze transcriptome data from cholangiocarcinoma (CCA) patients in multiple datasets (Sun Yat-sen University, TCGA and GSE32225 cohorts) to identify mechanisms that regulate tumor infiltration by immune cells and survival outcomes. We identified 96 differentially expressed genes (DEGs), including 13 upregulated and 83 downregulated genes, in CCA tissues as regulatory T cells were significantly higher and the proportions of activated natural killer cells and monocytes were significantly lower in CCA tissues than the precancerous tissues. The survival outcomes of CCA patients were associated with the

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaComputational BiologyGene Expression ProfilingHumansLymphocytes, Tumor-InfiltratingOncostatin MPrognosisTumor Suppressor Protein p53Oncostatin MTP53 protein, humanTumor Suppressor Protein p53cholangiocarcinomaimmune infiltrationOSMprognosisTP53

Identifiers

PMID33216732
PMCPMC11623973
OpenAlexW3100438423

What OpenQuestion holds

Textmetadata
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.