Evidence map›Paper›PMID 37086293›Full record

ArticleVirchows Archiv : an international journal of pathology2023

Characterization and digital spatial deconvolution of the immune microenvironment of intraductal oncocytic papillary neoplasms (IOPN) of the pancreas.

Antonio Pea, Gaetano Paolino, Filippo Martelli, Elena Bariani, Paola Piccoli, Elisabetta Sereni, Roberto Salvia, Rita T Lawlor, Liang Cheng, David Chang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 5 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

12 authors at 4 institutions in 3 countries.

Antonio PeaDepartment of Surgery, the Pancreas Institute, University and Hospital Trust of Verona, 37134, Verona, Italy.
Gaetano PaolinoDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134, Verona, Italy.
Filippo MartelliDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134, Verona, Italy.
Elena BarianiDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134, Verona, Italy.
Paola PiccoliDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134, Verona, Italy.
Elisabetta SereniDepartment of Surgery, the Pancreas Institute, University and Hospital Trust of Verona, 37134, Verona, Italy.
Roberto SalviaDepartment of Surgery, the Pancreas Institute, University and Hospital Trust of Verona, 37134, Verona, Italy.
Rita T LawlorDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134, Verona, Italy.
Liang ChengDepartment of Pathology and Laboratory Medicine, Brown University Warren Alpert Medical School, Lifespan Academic Medical Center, and the Legorreta Cancer Center at Brown University, Providence, RI, 02903, USA.
David ChangThe Institute of Cancer Sciences, University of Glasgow, G128QQ, Glasgow, UK.
Aldo ScarpaDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134, Verona, Italy.
Claudio LuchiniDepartment of Diagnostics and Public Health, Section of Pathology, University of Verona, 37134, Verona, Italy. claudio.luchini@univr.it.ORCID http://orcid.org/0000-0003-4901-4908
University of Verona · ITBrown University · USGlasgow Royal Infirmary · GBUniversity of Glasgow · GB

Funding

Associazione Italiana per la Ricerca sul Cancro 26343Fondazione Cassa di Risparmio di Verona Vicenza Belluno e Ancona 203885/2017Fondazione Italiana per la ricerca sulle Malattie del Pancreas J38D19000690001Ministero della Salute RF CO-2019-12369662: CUP: B39C21000370001
6 · The paper itself

Abstract

Intraductal oncocytic papillary neoplasm (IOPN) of the pancreas is a distinct entity from intraductal papillary mucinous neoplasms (IPMNs) and is considered one of the precursor lesions of pancreatic cancer. Through immunohistochemistry (IHC) and an artificial intelligence (AI)-based approach, this study aims at characterizing its immune microenvironment. Whole-slide IHC was performed on a cohort of 15 IOPNs, 2 of which harboring an associated adenocarcinoma. The following markers were tested: CD3, CD4, CD8, CD20, CD68, CD163, PD-1, PD-L1, MLH1, PMS2, MSH2, and MSH6. The main findings can be summarized as follows: (i) CD8+ T lymphocytes were the predominant immune cells (p < 0.01); (ii) the vast majority of macrophages were concurrently CD68+ and CD163+; (iii) all tumors showed an activated PD-1/PD-L1 axis, but none had mismatch repair deficiency; (iv) AI-based analysis revealed the presence of 2 distinct regions in each case, namely, Re1, localized at the center of the tumor, and Re2, located at tumor periphery; (v) the infiltrating component of the 2 invasive IOPNs showed a smaller extent of Re1 and a reduced rate of CD4+ cells, as well as a larger extent of Re2 and increased rate of CD8+ cells. IOPNs are lesions enriched in immune cells, with a predominance of CD8+ T lymphocytes and class 2 macrophages. Differently from IPMN-oncogenesis, the progression towards invasive carcinoma is accompanied by an increased rate of CD8+ lymphocytes. This finding may suggest the presence of an active self-immune surveillance in invasive IOPNs, potentially explaining, at least in part, the excellent survival rate of IOPN patients.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsArtificial IntelligenceB7-H1 AntigenHumansPancreasProgrammed Cell Death 1 ReceptorTumor MicroenvironmentB7-H1 AntigenProgrammed Cell Death 1 ReceptorArtificial intelligenceDigital pathologyIOPNIPMNOncocyticTME

Identifiers

PMID37086293
PMCPMC10412653
OpenAlexW4366742510

What Socratic holds

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LicenceCC BY
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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 Socratic graph.