S100A13-driven interaction between pancreatic adenocarcinoma cells and cancer-associated fibroblasts promotes tumor progression through calcium signaling.

IF 8.2 2区 生物学 Q1 CELL BIOLOGY Cell Communication and Signaling Pub Date : 2025-01-28 DOI:10.1186/s12964-025-02049-7
Liuyuan Xia, Xin Guo, Dong Lu, Yixin Jiang, Xiaohui Liang, Yiwen Shen, Jiayi Lin, Lijun Zhang, Hongzhuan Chen, Jinmei Jin, Xin Luan, Weidong Zhang
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引用次数: 0

Abstract

Background: Cancer-associated fibroblasts (CAFs) are key components of the pancreatic adenocarcinoma (PAAD) tumor microenvironment (TME), where they promote tumor progression and metastasis through immunosuppressive functions. Although significant progress has been made in understanding the crosstalk between cancer cells and CAFs, many underlying mechanisms remain unclear. Recent studies have highlighted the importance of calcium signaling in enhancing interactions between tumor cells and the surrounding stroma, with the S100 family of proteins serving as important regulators. While the roles of some S100 proteins have been extensively studied, others, such as S100A13, remain less well understood.

Methods: Bioinformatic analysis was employed to predict the pathogenic potential of CAFs and S100A13. Stable S100A13 knockdown CAFs were generated using a short hairpin RNA system. Cellular viability and apoptosis rates were evaluated through CCK-8 and flow cytometry tests, respectively. Additionally, the wound healing and migration assays were conducted to assess the invasive and metastatic capabilities. Transcriptome analysis was conducted to identify differential gene expression and associated signaling pathways in PAAD cells derived from an indirect culture system. Furthermore, the protumoral role of S100A13 in PAAD was further verified using both 3D bioprinting and cell line-based xenograft tumor models.

Results: In this study, we identified a strong association between S100A13, a calcium-binding protein, and CAFs in PAAD. Gene expression analysis revealed that S100A13 was highly expressed in CAFs and correlated with poor prognosis. Knockdown of S100A13 in CAFs reduced the metastatic potential of PAAD cells. In addition, S100A13 depletion impaired cell motility and calcium signaling pathways within the TME. Furthermore, silencing S100A13 in CAFs markedly slowed PAAD progression in both tumor spheroids and Balb/c nude mice.

Conclusions: Together, our findings underscore the critical role of CAFs-derived S100A13 in PAAD progression and suggest that targeting S100A13 may offer a promising therapeutic strategy for PAAD.

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s100a13驱动的胰腺腺癌细胞和癌症相关成纤维细胞之间的相互作用通过钙信号促进肿瘤进展。
背景:癌相关成纤维细胞(CAFs)是胰腺腺癌(PAAD)肿瘤微环境(TME)的关键组成部分,它们通过免疫抑制功能促进肿瘤的进展和转移。尽管在了解癌细胞和CAFs之间的串扰方面取得了重大进展,但许多潜在的机制仍不清楚。最近的研究强调了钙信号在增强肿瘤细胞与周围基质之间相互作用中的重要性,其中S100蛋白家族是重要的调节因子。虽然一些S100蛋白的作用已经被广泛研究,但其他的,如S100A13,仍然不太清楚。方法:采用生物信息学方法预测CAFs和S100A13的致病潜力。使用短发夹RNA系统生成稳定的S100A13敲低CAFs。分别通过CCK-8和流式细胞术检测细胞活力和凋亡率。此外,还进行了伤口愈合和迁移试验,以评估其侵袭和转移能力。转录组分析用于鉴定间接培养系统中PAAD细胞的差异基因表达和相关信号通路。此外,通过3D生物打印和基于细胞系的异种移植肿瘤模型进一步验证了S100A13在PAAD中的原瘤作用。结果:在本研究中,我们发现了钙结合蛋白S100A13与PAAD中cas之间的强烈关联。基因表达分析显示S100A13在cas中高表达,与预后不良相关。在cas中敲低S100A13可降低PAAD细胞的转移潜能。此外,S100A13缺失会损害TME内的细胞运动和钙信号通路。此外,在cas中沉默S100A13可显著减缓肿瘤球体和Balb/c裸鼠的PAAD进展。综上所述,我们的研究结果强调了cafs衍生的S100A13在PAAD进展中的关键作用,并表明靶向S100A13可能为PAAD提供一种有希望的治疗策略。
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来源期刊
CiteScore
11.00
自引率
0.00%
发文量
180
期刊介绍: Cell Communication and Signaling (CCS) is a peer-reviewed, open-access scientific journal that focuses on cellular signaling pathways in both normal and pathological conditions. It publishes original research, reviews, and commentaries, welcoming studies that utilize molecular, morphological, biochemical, structural, and cell biology approaches. CCS also encourages interdisciplinary work and innovative models, including in silico, in vitro, and in vivo approaches, to facilitate investigations of cell signaling pathways, networks, and behavior. Starting from January 2019, CCS is proud to announce its affiliation with the International Cell Death Society. The journal now encourages submissions covering all aspects of cell death, including apoptotic and non-apoptotic mechanisms, cell death in model systems, autophagy, clearance of dying cells, and the immunological and pathological consequences of dying cells in the tissue microenvironment.
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