Evidence map›Paper›PMID 39433799›Full record

ArticleScientific reports2024

The prognostic and therapeutic value of the tumor microenvironment and immune checkpoints in pancreatic neuroendocrine neoplasms.

Zhijiang Chen, Shizhao Lin, Feihong Liang, Zelin Hou, Yuanyuan Yang, Heguang Huang, Yu Pan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
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  8. Differential diagnosis and predictive markers of pancreatic neuroendocrine tumours (PanNET).Virchows Archiv : an international journal of pathology · 2026
    Review
  9. Article
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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.

Zhijiang Chen *Department of General Surgery, The Cancer Center, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China.
Shizhao Lin *Department of General Surgery, The Cancer Center, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China.
Feihong LiangDepartment of General Surgery, The Cancer Center, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China.
Zelin HouDepartment of General Surgery, The Cancer Center, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China.
Yuanyuan YangDepartment of General Surgery, The Cancer Center, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China.
Heguang HuangDepartment of General Surgery, The Cancer Center, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China. heguanghuang22@163.com.
Yu PanDepartment of General Surgery, The Cancer Center, Fujian Medical University Union Hospital, No. 29 Xinquan Road, Fuzhou, 350001, People's Republic of China. yupan199002@163.com.ORCID http://orcid.org/0000-0002-7417-4551

Funding

National Natural Science Foundation of China 82103310
6 · The paper itself

Abstract

Pancreatic neuroendocrine neoplasms (Pan-NEN) represent a group of highly heterogeneous cancers, characterized by complex and diverse biological behavior. The objective of this study was to systematically investigate the immunological features of the tumor microenvironment (TME) in Pan-NEN, aiming to identify prognostic biomarkers and explore the therapeutic potential of immunotherapy for Pan-NEN. Tumor and adjacent normal tissues were collected from 56 patients with Pan-NEN. Immunohistochemical analysis was conducted on tumor tissues using a panel of monoclonal antibodies targeting key immune markers. The expression levels of these markers were quantitatively assessed and correlated with clinicopathological features and overall survival. Low expression of CD3, CD8, CD4, CD68, CD163, Foxp3, CD56, CD69, GZMB, HLA-1, HLA-II, PD-1, and PD-L1 were observed in the majority of Pan-NEN patient samples. PD-1 expression was positively correlated with CD4 and Foxp3 expression, while PD-L1 expression was positively correlated with CD68, CD163, and Foxp3 expression; HLA-II expression was positively correlated with GZMB expression. Infiltration of lymphocytes (CD3 + or CD8+) and macrophages (CD68 + or CD163+) and expression of PD-1/PD-L1 were more pronounced in poorly differentiated neuroendocrine carcinoma (Pan-NEC) compared to well-differentiated neuroendocrine tumors (Pan-NET), while CD68 and PD-L1 correlated with advanced disease stage. Conversely, HLA-I antigen expression was commonly downregulated in Pan-NEC. Univariate Cox proportional hazard analysis demonstrated that tumor grade, stage; CD4+, CD68+, and CD163 + cell count; and expression of PD-1 and PD-L1 were significantly associated with poor survival outcomes, while the positive expression of HLA-I was correlated with a more favorable survival prognosis. Furthermore, multivariate Cox proportional hazard analyses revealed that tumor grade, stage, and PD-1 expression are independent prognostic factors. The immunological landscape of Pan-NEN offers potential prognostic value and therapeutic targets. The findings suggest that immunotherapy, particularly targeting the PD-1/PD-L1 pathway, may serve as a promising strategy for the treatment of Pan-NEN, especially for Pan-NEC patients.

Indexed as

Biomarkers, TumorNeuroendocrine TumorsPancreatic NeoplasmsTumor MicroenvironmentAdultAgedFemaleHumansImmunotherapyLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorBiomarkers, TumorProgrammed Cell Death 1 ReceptorCheckpointImmunoenvironmentPancreatic neuroendocrine tumors

Identifiers

PMID39433799
PMCPMC11494001

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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.