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TMIC-25. DISSECTING THE ROLE OF HOST GENETICS IN GLIOMA EVOLUTION USING GENETICALLY-ENGINEERED MOUSE MODELS AND THE COLLABORATIVE CROSS

机译:TMIC-25。运用遗传工程小鼠模型和协作交叉分析宿主遗传学在胶质瘤进化中的作用

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摘要

Gliomas have fatal outcomes and few effective treatments. Precision medicine promises to target somatic tumor mutations, but the impact of host genetics on glioma biology remains unclear. Germline polymorphisms have been associated with glioma risk, but such studies cannot disambiguate loci affecting cancer cell-autonomous versus tumor microenvironment (TME) phenotypes, since germline variation is shared by both. Here, we implement a novel platform to discover genetic modifiers of both cancer cell autonomous and TME phenotypes using genetically defined non-germline genetically-engineered mouse (nGEM) glioma models and genetically diverse hosts from the Collaborative Cross (CC). We stereotactically injected Nf1;Trp53-/- oligodendrocyte progenitor-derived tumor cells into syngeneic C57/BL6 control mice and 14 different CC strains. Survival analysis showed 7 strains with significantly prolonged survival relative to controls (P<0.05), suggesting slower tumor growth (Gs, growth slow). The remaining 7 strains survived similarly to controls, suggesting fast growth (Gf, growth fast). Variable tumor growth in CC mice suggests host genetic background influences molecular processes in the TME that potentiate or inhibit tumor growth. To identify such candidates, we performed RNA sequencing on 36 tumors from 3 Gf strains, 4 Gs strains, and controls. We identified differentially expressed genes that segregated Gf, Gs, and control tumors (P<0.05). Gene ontology analyses showed that these genes were significantly associated with immune response or extracellular matrix biology. These results suggest that Gs strains activate immune and TME processes that slow tumor growth. Quantitative trait locus (QTL) analyses of mouse host genetics and tumor data will facilitate identification of genetic variants that influence tumor progression. Future studies using human datasets are planned for validation of candidate host loci identified in mice.
机译:神经胶质瘤具有致命的后果,几乎没有有效的治疗方法。精密医学有望针对体细胞肿瘤突变,但宿主遗传学对神经胶质瘤生物学的影响尚不清楚。生殖细胞多态性已与神经胶质瘤风险相关,但由于生殖细胞变异是两者共享的,因此此类研究不能消除影响癌细胞自主性与肿瘤微环境(TME)表型的基因座。在这里,我们实施了一个新平台,以使用基因定义的非种系基因工程小鼠(nGEM)胶质瘤模型和来自协作十字会(CC)的遗传多样性宿主,发现癌细胞自主和TME表型的遗传修饰因子。我们将Nf1; Trp53 -/-少突胶质细胞祖细胞衍生的肿瘤细胞立体定向注入同系C57 / BL6对照小鼠和14种不同的CC株。生存分析显示,相对于对照,7株菌株的生存期显着延长(P <0.05),表明肿瘤生长较慢(Gs,生长缓慢)。其余7个菌株存活与对照相似,表明其快速生长(Gf,快速生长)。 CC小鼠中可变的肿瘤生长提示宿主遗传背景会影响TME中增强或抑制肿瘤生长的分子过程。为了识别此类候选基因,我们对来自3个Gf菌株,4个Gs菌株和对照的36个肿瘤进行了RNA测序。我们鉴定了差异表达的基因,这些基因分离了Gf,Gs和对照肿瘤(P <0.05)。基因本体分析表明,这些基因与免疫应答或细胞外基质生物学显着相关。这些结果表明,Gs菌株激活了减缓肿瘤生长的免疫和TME过程。小鼠宿主遗传学和肿瘤数据的定量性状基因座(QTL)分析将有助于鉴定影响肿瘤进展的遗传变异。已计划使用人类数据集进行进一步的研究,以验证在小鼠中鉴定出的候选宿主基因座。

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