Background: Localized radiation therapy is the first-line option for the treatment of nonmetastatic prostate cancer (PCa). Previous studies revealed that long non-coding RNAs (lncRNAs) had crucial roles in disease progression. However, the mechanisms of lncRNAs underlying prostate cancerrelated fatigue remained largely unclear.

Objective: The present study aimed to uncover the key genes related to PCa related fatigue during localized radiation therapy by constructing mRNA and lncRNA regulatory networks.

Methods: We analyzed GSE30174, which included 10 control samples and 40 PCa related fatigue samples, to identify differently expressed lncRNAs and mRNAs in PCa related fatigue. A proteinprotein interaction network was constructed to reveal the interactions among mRNAs. Co-expression network analysis was applied to identify the key lncRNAs and reveal the functions of these lncRNAs in PCa related fatigue.

Results and Discussion: This research found 1271 dysregulated mRNAs and 205 dysregulated lncRNAs in PCa related fatigue using GSE30174. Bioinformatics analysis showed that PCa related fatigue with mRNAs and lncRNAs were associated with inflammatory response and immune response related biological processes. Furthermore, we constructed a PPI network and lncRNA co-expression network related to fatigue in PCa. Of note, we observed that the dysregulated lncRNAs and mRNAs, such as SEC61A2, ADCY6, LPAR5, COL7A1, ALB, COL1A1, SNHG1, LINC01215, LINC00926, GNG4, LMO7, and COL4A6, in PCa related fatigue could predict the outcome of PCa patients.

Conclusions: This research could provide novel mechanisms underlying fatigue and identify new biomarkers for the prognosis of PCa.

背景：局部放射疗法是治疗非转移性前列腺癌（PCa）的一线选择。先前的研究表明，长的非编码RNA（lncRNA）在疾病进展中起关键作用。然而，lncRNAs潜在的前列腺癌相关疲劳的机制仍不清楚。

目的：本研究旨在通过构建mRNA和lncRNA调控网络来揭示与局部放射治疗过程中与PCa相关的疲劳有关的关键基因。

方法：我们分析了GSE30174，其中包括10个对照样品和40个PCa相关的疲劳样品，以鉴定PCa相关疲劳中差异表达的lncRNA和mRNA。构建了蛋白质相互作用网络以揭示mRNA之间的相互作用。共表达网络分析用于识别关键的lncRNA，并揭示这些lncRNA在PCa相关疲劳中的功能。

结果与讨论：本研究使用GSE30174在PCa相关疲劳中发现了1271个mRNA失调和205个lncRNA失调。生物信息学分析表明，与PCa相关的疲劳以及mRNA和lncRNA与炎症反应和免疫反应相关的生物学过程有关。此外，我们构建了与PCa疲劳相关的PPI网络和lncRNA共表达网络。值得注意的是，我们观察到PCa相关疲劳中lncRNA和mRNA失调，例如SEC61A2，ADCY6，LPAR5，COL7A1，ALB，COL1A1，SNHG1，LINC01215，LINC00926，GNG4，LMO7和COL4A6均可预测PCa患者的结局。

结论：这项研究可以提供潜在的疲劳新机制，并确定PCa预后的新生物标志物。