Evidence map›Paper›PMID 33986743›Full record

ArticleFrontiers in immunology2021

Identification, Validation, and Utilization of Immune Cells in Pancreatic Ductal Adenocarcinoma Based on Marker Genes.

Willem de Koning, Diba Latifi, Yunlei Li, Casper H J van Eijck, Andrew P Stubbs, Dana A M Mustafa

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 15 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 1 institution in 1 country.

Willem de KoningUnit of Clinical Bioinformatics, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
Diba LatifiDepartment of Surgery, Erasmus University Medical Centre, Rotterdam, Netherlands.
Yunlei LiUnit of Clinical Bioinformatics, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
Casper H J van EijckDepartment of Surgery, Erasmus University Medical Centre, Rotterdam, Netherlands.
Andrew P StubbsUnit of Clinical Bioinformatics, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
Dana A M MustafaTumor Immuno-Pathology Laboratory, Department of Pathology, Erasmus University Medical Centre, Rotterdam, Netherlands.
Erasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune response affects tumor biological behavior and progression. The specific immune characteristics of pancreatic ductal adenocarcinoma (PDAC) can determine the metastatic abilities of cancerous cells and the survival of patients. Therefore, it is important to characterize the specific immune landscape in PDAC tissue samples, and the effect of various types of therapy on that immune composition. Previously, a set of marker genes was identified to assess the immune cell composition in different types of cancer tissue samples. However, gene expression and subtypes of immune cells may vary across different types of cancers. The aim of this study was to provide a method to identify immune cells specifically in PDAC tissue samples. The method is based on defining a specific set of marker genes expressed by various immune cells in PDAC samples. A total of 90 marker genes were selected and tested for immune cell type-specific definition in PDAC; including 43 previously used, and 47 newly selected marker genes. The immune cell-type specificity was checked mathematically by calculating the "pairwise similarity" for all candidate genes using the PDAC RNA-sequenced dataset available at The Cancer Genome Atlas. A set of 55 marker genes that identify 22 different immune cell types for PDAC was created. To validate the method and the set of marker genes, an independent mRNA expression dataset of 24 samples of PDAC patients who received various types of (neo)adjuvant treatments was used. The results showed that by applying our method we were able to identify PDAC specific marker genes to characterize immune cell infiltration in tissue samples. The method we described enabled identifying different subtypes of immune cells that were affected by various types of therapy in PDAC patients. In addition, our method can be easily adapted and applied to identify the specific immune landscape in various types of tissue samples.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmune SystemNeoadjuvant TherapyPancreatic NeoplasmsReproducibility of ResultsTumor MicroenvironmentBiomarkers, Tumorimmune cellsimmune microenvironmentmarker genesmRNA expressionpancreatic ductal adenocarcinoma

Identifiers

PMID33986743
PMCPMC8110918
OpenAlexW3157587382

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Registered trials

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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.