Evidence map›Paper›PMID 40719841›Full record

ArticleImmunologic research2025

SPP1 + macrophages facilitate pancreatic cancer progression via ITGB6-mediated interactions: evidence from integrated multi-omics analysis and experimental validation.

Jiachen Ge, Jianping Cai, Gaolei Zhang, Deyu Li, Lianyuan Tao

Abstract read
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In one paragraph

Article in Immunologic research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

5 authors.

Jiachen Ge *Department of Hepatobiliary Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, People's Republic of China.
Jianping Cai *Department of Hepatobiliary Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, People's Republic of China.
Gaolei ZhangDepartment of Hepatobiliary Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, People's Republic of China.
Deyu LiDepartment of Hepatobiliary Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, People's Republic of China. lideyu19@hotmail.com.
Lianyuan TaoDepartment of Hepatobiliary Surgery, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450003, People's Republic of China. tly2007tly@hotmail.com.

Funding

Henan Province Health Science and Technology Innovation Excellent Young Talents Training Project YXKC2020044Henan Province Health Science and Technology Research Project 242102310141Henan Province Health Science and Technology Research Project 252102311080Joint Project of Medical Science and Technology Research Program of Henan Province LHGJ20230007Joint Project of Medical Science and Technology Research Program of Henan Province LHGJ20230033"Three 100" Plan Overseas Study Program for Medical Science and Technology Talents of Henan Province Medical Sciences Academy H20240044
6 · The paper itself

Abstract

Basement membranes (BMs) and tumor-associated macrophages (TAMs) are crucial stromal components in pancreatic cancer (PC), critically influencing disease progression. Bulk and single-cell RNA-seq (scRNA-seq) data were acquired from publicly available databases. Through integration of multiple machine learning algorithms, we developed and validated a BM-related subtype and prognostic signature in PC cohorts. The expression profiles of BM-related genes in PC were verified using experimental approaches. We further investigated the functional mechanisms of a core gene in PC progression. Additionally, we characterized the TAM landscape in PC, revealing distinct TAM subsets associated with tumor progression and their dynamic interactions with BM components. Based on BM-related gene expression profiles, PC samples were stratified into two distinct subtypes. Our integrated prognostic signature combining LASSO and survival-SVM algorithms demonstrated robust performance in predicting PC outcomes and clinical characteristics. LAMA3, ITGA3, and ITGB6 showed higher expression in PC specimens versus normal controls. Functional experiments confirmed that ITGB6 knockdown markedly suppressed PC progression. Through integrative analysis of multiple scRNA-seq datasets of PC, we established a single-cell landscape of TAMs and ductal cells, respectively. SPP1 + TAMs correlated with poor PC prognosis and facilitated tumor progression through ITGB6-mediated interactions. In this study, we established novel PC subtypes and constructed a prognostic signature based on BM-related genes. An atlas of TAMs was constructed in PC. SPP1 + macrophages drove pancreatic cancer progression via ITGB6-mediated interactions.

Indexed as

Integrin beta ChainsMacrophagesPancreatic NeoplasmsTumor-Associated MacrophagesBiomarkers, TumorDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMultiomicsPrognosisTumor MicroenvironmentBiomarkers, TumorIntegrin beta ChainsBasement membranePancreatic cancerSingle-cell RNA-seqSPP1 + macrophageTumor-associated macrophage

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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.