Evidence map›Paper›PMID 35979350›Full record

ArticleFrontiers in immunology2022

An integrated model of acinar to ductal metaplasia-related N7-methyladenosine regulators predicts prognosis and immunotherapy in pancreatic carcinoma based on digital spatial profiling.

Hao Yang, Julia Messina-Pacheco, Andrea Liliam Gomez Corredor, Alex Gregorieff, Jun-Li Liu, Ali Nehme, Hamed S Najafabadi, Yasser Riazalhosseini, Bo Gao, Zu-Hua Gao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.2field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 31 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

10 authors at 6 institutions in 2 countries.

Hao YangDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Julia Messina-PachecoDepartment of Pathology, McGill University and the Research Institute of McGill University Health Centre, Montreal, QC, Canada.
Andrea Liliam Gomez CorredorDepartment of Pathology, McGill University and the Research Institute of McGill University Health Centre, Montreal, QC, Canada.
Alex GregorieffDepartment of Pathology, McGill University and the Research Institute of McGill University Health Centre, Montreal, QC, Canada.
Jun-Li LiuMeDic Program, The Research Institute of McGill University Health Centre, & Division of Endocrinology and Metabolism, Department of Medicine, McGill University, Montreal, QC, Canada.
Ali NehmeDepartment of Human Genetics, McGill University, Montreal, QC, Canada.
Hamed S NajafabadiDepartment of Human Genetics, McGill University, Montreal, QC, Canada.
Yasser RiazalhosseiniDepartment of Human Genetics, McGill University, Montreal, QC, Canada.
Bo GaoDepartment of General Surgery, Peking University People's Hospital, Beijing, China.
Zu-Hua GaoDepartment of Pathology and Laboratory Medicine, British Columbia (BC) Cancer Research Center, University of British Columbia, Vancouver, BC, Canada.
McGill University Health Centre · CAMcGill Genome Centre · CAMcGill University · CAPeking University · CNSecond Affiliated Hospital of Harbin Medical University · CNUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acinar-to-ductal metaplasia (ADM) is a recently recognized, yet less well-studied, precursor lesion of pancreatic ductal adenocarcinoma (PDAC) developed in the setting of chronic pancreatitis. Through digital spatial mRNA profiling, we compared ADM and adjacent PDAC tissues from patient samples to unveil the bridging genes during the malignant transformation of pancreatitis. By comparing the bridging genes with the 7-methylguanosine (m7G)-seq dataset, we screened 19 m7G methylation genes for a subsequent large sample analysis. We constructed the "m7G score" model based on the RNA-seq data for pancreatic cancer in The Cancer Genome Atlas (TCGA) database and The Gene Expression Omnibus (GEO) database. Tumors with a high m7G score were characterized by increased immune cell infiltration, increased genomic instability, higher response rate to combined immune checkpoint inhibitors (ICIs), and overall poor survival. These findings indicate that the m7G score is associated with tumor invasiveness, immune cell infiltration, ICI treatment response, and overall patients' survival. We also identified FN1 and ITGB1 as core genes in the m7Gscore model, which affect immune cell infiltration and genomic instability not only in pancreatic cancer but also in pan-cancer. FN1 and ITGB1 can inhibit immune T cell activition by upregulation of macrophages and neutrophils, thereby leading to immune escape of pancreatic cancer cells and reducing the response rate of ICI treatment.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsGenomic InstabilityHumansImmunotherapyMetaplasiaPrognosisacinar to ductal metaplasiadigital spatial profilingimmunotherapyN7-methyladenosinepancreatic carcinomaprognosis

Identifiers

PMID35979350
PMCPMC9377277
OpenAlexW4288433405

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.