Evidence map›Paper›PMID 31381571›Full record

ArticlePloS one2019

Tumour infiltrating lymphocytes and immune-related genes as predictors of outcome in pancreatic adenocarcinoma.

Alberto D'Angelo, Navid Sobhani, Giandomenico Roviello, Stefan Bagby, Deborah Bonazza, Cristina Bottin, Fabiola Giudici, Fabrizio Zanconati, Nicolo De Manzini, Alessandra Guglielmi and 1 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Easy NanoString nCounter data analysis with the NanoTube.Bioinformatics (Oxford, England) · 2023
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  15. Circulating CD8BMC cancer · 2022
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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

11 authors.

Alberto D'AngeloDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.ORCID 0000-0001-8417-9172
Navid SobhaniDepartment of Medical, Surgical, & Health Sciences, University of Trieste, Piazza Ospitale, Trieste, Italy.
Giandomenico RovielloDepartment of Medical, Surgical, & Health Sciences, University of Trieste, Piazza Ospitale, Trieste, Italy.
Stefan BagbyDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Deborah BonazzaDepartment of Medical Sciences, Ospedale di Cattinara, Università degli Studi di Trieste, Strada di Fiume, Trieste, Italy.
Cristina BottinDepartment of Medical Sciences, Ospedale di Cattinara, Università degli Studi di Trieste, Strada di Fiume, Trieste, Italy.
Fabiola GiudiciDepartment of Medical Sciences, Ospedale di Cattinara, Università degli Studi di Trieste, Strada di Fiume, Trieste, Italy.
Fabrizio ZanconatiDepartment of Medical Sciences, Ospedale di Cattinara, Università degli Studi di Trieste, Strada di Fiume, Trieste, Italy.
Nicolo De ManziniDepartment of Medical Sciences, Ospedale di Cattinara, Università degli Studi di Trieste, Strada di Fiume, Trieste, Italy.
Alessandra GuglielmiDepartment of Medical, Surgical, & Health Sciences, University of Trieste, Piazza Ospitale, Trieste, Italy.
Daniele GeneraliDepartment of Medical, Surgical, & Health Sciences, University of Trieste, Piazza Ospitale, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the correlation between pancreatic ductal adenocarcinoma patient prognosis and the presence of tumour infiltrating lymphocytes and expression of 521 immune system genes.

methodsIntratumoural CD3+, CD8+, and CD20+ lymphocytes were examined by immunohistochemistry in 12 PDAC patients with different outcomes who underwent pancreaticoduodenectomy. The results were correlated with gene expression profile using the digital multiplexed NanoString nCounter analysis system (NanoString Technologies, Seattle, WA, USA).

resultsTwenty immune system genes were significantly differentially expressed in patients with a good prognosis relative to patients with a worse prognosis: TLR2 and TLR7 (Toll-like receptor superfamily); CD4, CD37, FOXP3, PTPRC (B cell and T cell signalling); IRF5, IRF8, STAT1, TFE3 (transcription factors); ANP32B, CCND3 (cell cycle); BTK (B cell development); TNF, TNFRF1A (TNF superfamily); HCK (leukocyte function); C1QA (complement system); BAX, PNMA1 (apoptosis); IKBKE (NFκB pathway). Differential expression was more than twice log 2 for TLR7, TNF, C1QA, FOXP3, and CD37. DISCUSSION: Tumour infiltrating lymphocytes were present at higher levels in samples from patients with better prognosis. Our findings indicate that tumour infiltrating lymphocyte levels and expression level of the immune system genes listed above influence pancreatic ductal adenocarcinoma prognosis. This information could be used to improve selection of best responders to immune inhibitors.

Indexed as

AdenocarcinomaAgedFemaleHumansLymphocytes, Tumor-InfiltratingMaleMiddle AgedPancreatic NeoplasmsPrognosisTranscriptome

Identifiers

PMID31381571
PMCPMC6681957

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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.