Evidence map›Paper›PMID 40190415›Full record

ArticleCancer management and research2025

Role of EFNAs in Shaping the Tumor Immune Microenvironment and Their Impact on Pancreatic Adenocarcinoma Prognosis.

Yu-Chao Li, Lu Zhang, Yi-Ting Wang, Hao Hu, Ze-Yu Zhang, Qian-Qian Nie, Chang-Jing Zuo

Abstract read
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Article in Cancer management and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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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

7 authors.

Yu-Chao Li *Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Lu Zhang *Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Yi-Ting Wang *Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.ORCID 0009-0008-7931-3128
Hao HuDepartment of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Ze-Yu ZhangDepartment of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Qian-Qian NieDepartment of Central Laboratory, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.
Chang-Jing ZuoDepartment of Nuclear Medicine, Changhai Hospital, Naval Medical University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Due to the highly heterogeneous and immunosuppressed tumor microenvironment (TME), pancreatic adenocarcinoma (PAAD) has limited therapeutic options and an abysmal prognosis. Ephrin A 1-5 (EFNA1-5) have been shown to regulate tumorigenesis and metastasis in various cancers, but its role in PAAD remains unclear. Methods: We comprehensively analyzed Results: The expression levels of EFNA1-5 were significantly upregulated in PAAD. The expression of EFNA1/3/4/5 were significantly associated with overall survival (OS) and relapse-free survival (RFS) in PAAD patients. The high expression of EFNA2-5 were related to poor clinical features, such as higher tumor stage or grade and a wider range of lymph node metastasis. EFNA1-5 were closely associated with immune cell infiltration, CAFs, and MDSCs expression. Furthermore, EFNA5 is an independent risk factor for poor prognosis in PAAD patients, and it can promote the malignant progression of pancreatic cancer in vitro and in vivo. Conclusion: Differential expression of EFNA1-5 is associated with TIME in pancreatic cancer, predicts different survival outcomes, and maybe a novel prognostic marker reflecting an immunosuppressive state and a potential therapeutic target.

Indexed as

EFNAimmune cell infiltrationPAADpancreatic adenocarcinomaTMEtumor microenvironment

Identifiers

PMID40190415
PMCPMC11972607

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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.