Evidence map›Paper›PMID 30720864›Full record

SynthesisInternational journal of cancer2019

Immunophenotypes of pancreatic ductal adenocarcinoma: Meta-analysis of transcriptional subtypes.

Ines de Santiago, Christopher Yau, Lara Heij, Mark R Middleton, Florian Markowetz, Heike I Grabsch, Michael L Dustin, Shivan Sivakumar

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

37 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
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  5. Review
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  9. Review
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  12. New avenues for the treatment of immunotherapy-resistant pancreatic cancer.World journal of gastrointestinal oncology · 2024
    Review
  13. Clinical immunotherapy in pancreatic cancer.Cancer immunology, immunotherapy : CII · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Association betweenBiomedicines · 2023
    Article
  18. Article
  19. Article
  20. Article
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

8 authors at 5 institutions in 4 countries.

Ines de SantiagoCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom.
Christopher YauCentre for Computational Biology, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.
Lara HeijGROW School for Oncology and Developmental Biology, Department of Pathology, Maastricht University Medical Center, Maastricht, The Netherlands.
Mark R MiddletonDepartment of Oncology, University of Oxford, Oxford, United Kingdom.
Florian MarkowetzCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom.
Heike I GrabschGROW School for Oncology and Developmental Biology, Department of Pathology, Maastricht University Medical Center, Maastricht, The Netherlands.
Michael L DustinKennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom.
Shivan SivakumarDepartment of Oncology, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5175-2697
University of Oxford · GBUniversity of Cambridge · GBCancer Research UK Clinical Trials Unit · GBMaastricht University Medical Centre · NLUniversity of Leeds · GB

Funding

Cancer Research UK 19274Department of HealthMedical Research Council MR/P02646X/1Wellcome TrustWellcome Trust 100262Z/12/Z
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is the most common malignancy of the pancreas and has one of the highest mortality rates of any cancer type with a 5-year survival rate of <5%. Recent studies of PDAC have provided several transcriptomic classifications based on separate analyses of individual patient cohorts. There is a need to provide a unified transcriptomic PDAC classification driven by therapeutically relevant biologic rationale to inform future treatment strategies. Here, we used an integrative meta-analysis of 353 patients from four different studies to derive a PDAC classification based on immunologic parameters. This consensus clustering approach indicated transcriptomic signatures based on immune infiltrate classified as adaptive, innate and immune-exclusion subtypes. This reveals the existence of microenvironmental interpatient heterogeneity within PDAC and could serve to drive novel therapeutic strategies in PDAC including immune modulation approaches to treating this disease.

Indexed as

AdenocarcinomaCarcinoma, Pancreatic DuctalCluster AnalysisGene Expression Regulation, NeoplasticHumansImmunophenotypingPancreatic NeoplasmsPrognosisTranscription, GeneticTranscriptomeadaptive immunityinnate immunitypancreatic cancersubtypesT cellstumour microenvironment

Identifiers

PMID30720864
PMCPMC6767191
OpenAlexW2923685537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.