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The expression landscape of cachexia‐inducing factors in human cancers

机译:人类癌症中恶化因子的表达景观

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Background Cachexia is a multifactorial syndrome highly associated with specific tumour types, but the causes of variation in cachexia prevalence and severity are unknown. While circulating plasma mediators (soluble cachectic factors) derived from tumours have been implicated with the pathogenesis of the syndrome, these associations were generally based on plasma concentration rather than tissue‐specific gene expression levels. Here, we hypothesized that tumour gene expression profiling of cachexia‐inducing factors (CIFs) in human cancers with different prevalence of cachexia could reveal potential cancer‐specific cachexia mediators and biomarkers of clinical outcome. Methods First, we combined uniformly processed RNA sequencing data from The Cancer Genome Atlas and Genotype‐Tissue Expression databases to characterize the expression profile of secretome genes in 12 cancer types (4651 samples) compared with their matched normal tissues (2737 samples). We systematically investigated the transcriptomic data to assess the tumour expression profile of 25 known CIFs and their predictive values for patient survival. We used the Xena Functional Genomics tool to analyse the gene expression of CIFs according to neoplastic cellularity in pancreatic adenocarcinoma, which is known to present the highest prevalence of cachexia. Results A comprehensive characterization of the expression profiling of secreted genes in different human cancers revealed pathways and mediators with a potential role in cachexia within the tumour microenvironment. Cytokine‐related and chemokine‐related pathways were enriched in tumour types frequently associated with the syndrome. CIFs presented a tumour‐specific expression profile, in which the number of upregulated genes was correlated with the cachexia prevalence (r2: 0.80; P value: 0.002) and weight loss (r2: 0.81; P value: 0.002). The distinct gene expression profile, according to tumour type, was significantly associated with prognosis (P value ≤ 1.96 E‐06). In pancreatic adenocarcinoma, the upregulated CIF genes were associated with tumours presenting low neoplastic cellularity and high leucocyte fraction and not with tumour grade. Conclusions Our results present a biological dimension of tumour‐secreted elements that are potentially useful to explain why specific cancer types are more likely to develop cachexia. The tumour‐specific profile of CIFs may help the future development of better targeted therapies to treat cancer types highly associated with the syndrome.
机译:背景Cachexia是一种与特异性肿瘤类型高度相关的多因素综合征,但是恶毒症患病率和严重程度的变异原因是未知的。在循环血浆介质(可溶性Cachectic因子)衍生自肿瘤的衍生物的同时与综合征的发病机制有影响,这些关联通常基于血浆浓度而不是组织特异性基因表达水平。在这里,我们假设具有不同患病率不同患病率的人类癌症(CIFs)的肿瘤基因表达分析,具有不同的恶病症的患病率可以揭示潜在的癌症特异性疾病介质和临床结果的生物标志物。方法首先,我们将均匀加工的RNA测序数据组合来自癌症基因组Atlas和基因型 - 组织表达数据库,以表征12种癌症类型(4651个样品)中批核基因的表达谱与匹配的正常组织(2737个样品)相比。我们系统地研究了转录组数据以评估25个已知的CIFS的肿瘤表达谱及其预测值的患者存活。我们利用Xena功能基因组学工具根据胰腺癌中的肿瘤细胞分析CIFS的基因表达,这已知是呈现肠病患者的最高普遍性。结果不同人类癌症中分泌基因的表达分析的综合表征揭示了肿瘤微环境中的恶毒症中具有潜在作用的途径和介质。与综合征经常相关的肿瘤类型中富集细胞因子相关和趋化因子相关的途径。 CIFS呈现了一种肿瘤特异性表达谱,其中上调基因的数量与恶性血症患病率相关(R2:0.80; p值:0.002)和减肥(R2:0.81; P值:0.002)。根据肿瘤型的不同基因表达谱与预后显着相关(P值≤1.96E-06)。在胰腺腺癌中,上调的CIF基因与呈现低肿瘤细胞性和高白细胞级分的肿瘤有关,而不是肿瘤级。结论我们的结果呈现了肿瘤分泌元素的生物尺寸,这些元素可能有助于解释为什么特异性癌症类型更有可能开发恶毒症。 CIFs的肿瘤特异性概况可以帮助未来的靶向治疗的发展,以治疗与综合征高度相关的癌症类型。

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