吉西他滨代谢酶和基质成分的表达揭示了用于治疗测试的临床前胰腺癌模型的复杂性

IF 4.8 2区 医学 Q1 Biochemistry, Genetics and Molecular Biology Neoplasia Pub Date : 2024-05-13 DOI:10.1016/j.neo.2024.101002
Lisa Knoll , Jacob Hamm , Philipp Stroebel , Todorovic Jovan , Robert Goetze , Shiv Singh , Elisabeth Hessmann , Volker Ellenrieder , Christoph Ammer-Herrmenau , Albrecht Neesse
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引用次数: 0

摘要

背景胰腺导管腺癌(PDAC)对抗肿瘤药物的反应不佳。目的研究肿瘤微环境(TME)组成与吉西他滨代谢酶(GME)表达在体外和几种体内模型中的关联。方法mRNA表达和GME(细胞质5′-核苷酸酶1 A;NT5C1A,胞苷脱氨酶;CDA,脱氧胞苷激酶;在小鼠 LSL-KrasG12D/+ 中,通过 qRT-PCR 和免疫组化评估了吉西他滨转运体(ENT1、ENT2、RRM1、RRM2)和基质成分(透明质酸、podoplanin、Masson 三色、picrosirius);LSL-Trp53R172 H/+; Pdx-1-Cre (KPC)、正位移植小鼠 (OTM)、人原发性切除 PDAC 组织 (hPRT)、相应的患者来源异种移植 (PDX) 小鼠和 KPC-SPARC-/- 小鼠中,通过 qRTCR 和免疫组织化学方法评估了 GME 的 mRNA 表达。通过 qRT-PCR 分析了 PDAC 细胞系(Panc-1、MIA PaCa、BXPC3 和 L3.6)在胶原或胰腺星状细胞(PSC)条件培养基上培养后 GME 的 mRNA 表达。然而,hPRT 和相应的 PDX 小鼠的 GME 水平并无差异。通过使用 Kendalls Tau 相关系数,我们发现除了 PDX 小鼠中的 NT5C1A 和透明质酸外,GME 与 TME 的成分没有明显的相关性(p=0.029)。我们的研究结果表明,GME 的表达与基质成分的沉积无关。KPC 小鼠最适合用于研究基质成分,而 PDX 小鼠则能保持相应 hPRT 的 GME 表达,最适合用于药代动力学研究。
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Expression of gemcitabine metabolizing enzymes and stromal components reveal complexities of preclinical pancreatic cancer models for therapeutic testing

Background

Pancreatic ductal adenocarcinoma (PDAC) poorly responds to antineoplastic agents. Discrepancies between preclinical success and clinical failure of compounds has been a continuous challenge and major obstacle in PDAC research.

Aim

To investigate the association of the tumor microenvironment (TME) composition and gemcitabine metabolizing enzyme (GME) expression in vitro and several in vivo models.

Methods

mRNA expression and protein levels of GME (cytosolic 5′-nucleotidase 1 A; NT5C1A, cytidine deaminase; CDA, deoxycytidine kinase; DCK), gemcitabine transporters (ENT1, ENT2, RRM1, RRM2) and stromal components (hyaluroninc acid, podoplanin, masson trichrome, picrosirius) were assessed by qRT-PCR and immunohistochemistry in murine LSL-KrasG12D/+;LSL-Trp53R172 H/+; Pdx-1-Cre (KPC), orthotopically transplanted mice (OTM), human primary resected PDAC tissue (hPRT), corresponding patient-derived xenograft (PDX) mice, and KPC-SPARC−/- mice. mRNA expression of GME was analyzed in PDAC cell lines (Panc-1, MIA PaCa, BXPC3 and L3.6) upon incubation on collagen or pancreatic stellate cell (PSC) conditioned media by qRT-PCR.

Results

Endogenous KPC tumors exhibited significantly higher levels of GME compared to OTM. However, GME levels did not differ between hPRT and corresponding PDX mice. Using Kendalls Tau correlation coefficient we did not show a significant correlation of GME and components of the TME except for NT5C1A and hyaluronic acid in PDX mice (p=0.029). GME were not significantly altered upon SPARC depletion in vivo, and upon treatment with PSC-conditioned media or incubation on collagen plated dishes in vitro.

Conclusions

Our findings suggest that the expression of GME is independent from the deposition of stromal components. KPC mice are most appropriate to study stromal composition whereas PDX mice maintain GME expression of the corresponding hPRT and could be best suited for pharmacokinetic studies.

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来源期刊
Neoplasia
Neoplasia 医学-肿瘤学
CiteScore
9.20
自引率
2.10%
发文量
82
审稿时长
26 days
期刊介绍: Neoplasia publishes the results of novel investigations in all areas of oncology research. The title Neoplasia was chosen to convey the journal’s breadth, which encompasses the traditional disciplines of cancer research as well as emerging fields and interdisciplinary investigations. Neoplasia is interested in studies describing new molecular and genetic findings relating to the neoplastic phenotype and in laboratory and clinical studies demonstrating creative applications of advances in the basic sciences to risk assessment, prognostic indications, detection, diagnosis, and treatment. In addition to regular Research Reports, Neoplasia also publishes Reviews and Meeting Reports. Neoplasia is committed to ensuring a thorough, fair, and rapid review and publication schedule to further its mission of serving both the scientific and clinical communities by disseminating important data and ideas in cancer research.
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