Molecular mechanisms of pancreatic cancer liver metastasis: the role of PAK2.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38343537", "kind": "science-record", "revision": 4, "content_hash": "sha256:f4da7f9f6193d5cecba3205b7bd33a5d0de01da8d5529f07533069a4c3121d9c", "created_at": "2026-11-01T19:20:16Z", "updated_at": "2026-11-01T22:53:39Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Molecular mechanisms of pancreatic cancer liver metastasis: the role of PAK2.", "doi": "10.3389/fimmu.2024.1347683", "pmid": "38343537", "authors": ["Hao Yang", "Zhongyi Li", "Shiqi Zhu", "Wenxia Wang", "Jing Zhang", "Dongxu Zhao", "Man Zhang", "Wenxin Zhu", "Wei Xu", "Chunfang Xu"], "journal": "Frontiers in immunology", "year": 2024, "abstract": "Background: Pancreatic cancer remains an extremely malignant digestive tract tumor, posing a significant global public health burden. Patients with pancreatic cancer, once metastasis occurs, lose all hope of cure, and prognosis is extremely poor. It is important to investigate liver metastasis of Pancreatic cancer in depth, not just because it is the most common form of metastasis in pancreatic cancer, but also because it is crucial for treatment planning and prognosis assessment. This study aims to delve into the mechanisms of pancreatic cancer liver metastasis, with the goal of providing crucial scientific groundwork for the development of future treatment methods and drugs.\nMethods: We explored the mechanisms of pancreatic cancer liver metastasis using single-cell sequencing data (GSE155698 and GSE154778) and bulk data (GSE71729, GSE19279, TCGA-PAAD). Initially, Seurat package was employed for single-cell data processing to obtain expression matrices for primary pancreatic cancer lesions and liver metastatic lesions. Subsequently, high-dimensional weighted gene co-expression network analysis (hdWGCNA) was used to identify genes associated with liver metastasis. Machine learning algorithms and COX regression models were employed to further screen genes related to patient prognosis. Informed by both biological understanding and the outcomes of algorithms, we meticulously identified the ultimate set of liver metastasis-related gene (LRG). In the study of LRG genes, various databases were utilized to validate their association with pancreatic cancer liver metastasis. In order to analyze the effects of these agents on tumor microenvironment, we conducted an in-depth analysis, including changes in signaling pathways (GSVA), cell differentiation (pseudo-temporal analysis), cell communication networks (cell communication analysis), and downstream transcription factors (transcription factor activity prediction). Additionally, drug sensitivity analysis and metabolic analysis were performed to reveal the effects of LRG on gemcitabine resistance and metabolic pathways. Finally, functional experiments were conducted by silencing the expression of LRG in PANC-1 and Bx-PC-3 cells to validate its influence to proliferation and invasiveness on PANC-1 and Bx-PC-3 cells.\nResults: Through a series of algorithmic filters, we identified PAK2 as a key gene promoting pancreatic cancer liver metastasis. GSVA analysis elucidated the activation of the TGF-beta signaling pathway by PAK2 to promote the occurrence of liver metastasis. Pseudo-temporal analysis revealed a significant correlation between PAK2 expression and the lower differentiation status of pancreatic cancer cells. Cell communication analysis revealed that overexpression of PAK2 promotes communication between cancer cells and the tumor microenvironment. Transcription factor activity prediction displayed the transcription factor network regulated by PAK2. Drug sensitivity analysis and metabolic analysis revealed the impact of PAK2 on gemcitabine resistance and metabolic pathways. CCK8 experiments showed that silencing PAK2 led to a decrease in the proliferative capacity of pancreatic cancer cells and scratch experiments demonstrated that low expression of PAK2 decreased invasion capability in pancreatic cancer cells. Flow cytometry reveals that PAK2 significantly inhibited apoptosis in pancreatic cancer cell lines. Molecules related to the TGF-beta pathway decreased with the inhibition of PAK2, and there were corresponding significant changes in molecules associated with EMT.\nConclusion: PAK2 facilitated the angiogenic potential of cancer cells and promotes the epithelial-mesenchymal transition process by activating the TGF-beta signaling pathway. Simultaneously, it decreased the differentiation level of cancer cells, consequently enhancing their malignancy. Additionally, PAK2 fostered communication between cancer cells and the tumor microenvironment, augments cancer cell chemoresistance, and modulates energy metabolism pathways. In summary, PAK2 emerged as a pivotal gene orchestrating pancreatic cancer liver metastasis. Intervening in the expression of PAK2 may offer a promising therapeutic strategy for preventing liver metastasis of pancreatic cancer and improving its prognosis.", "claims": [{"id": "claim-method", "statement": "The analysis of Real-time Fluorescence Quantitative PCR results for cell lines was conducted using one-way ANOVA. For the results analysis of CCK-8 cell proliferation experiments, two-way ANOVA was applied. The comparison of migration areas after cell scratch experiments was based on Welch’s test.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38343537", "locator": "sections[18] \"Statistical tests\" paragraph 2", "quote": "The analysis of Real-time Fluorescence Quantitative PCR results for cell lines was conducted using one-way ANOVA. For the results analysis of CCK-8 cell proliferation experiments, two-way ANOVA was applied. The comparison of migration areas after cell scratch experiments was based on Welch’s test."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38343537", "locator": "sections[35] \"Data availability statement\" paragraph 2", "quote": "The original contributions presented in the study are included in the article/ Supplementary Material . Further inquiries can be directed to the corresponding authors."}], "state": "complete"}, {"id": "claim-target-result", "statement": "PAK2 emerged as a pivotal gene orchestrating pancreatic cancer liver metastasis.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38343537", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "In summary, PAK2 emerged as a pivotal gene orchestrating pancreatic cancer liver metastasis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "PAK2 emerged as a pivotal gene orchestrating pancreatic cancer liver metastasis.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:38343537"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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