CAJ | 학술논문

目的：探究41例鼻咽组织活检样本中差异基因表达谱所显示的失调基因及挖掘调控这些基因的转录因子。方法利用EXCEL及生物信息学方法分析Ⅰ、Ⅱ型鼻咽癌（NPC）患者鼻咽组织活检样本中差异表达基因谱，挖掘出同时符合以下条件的转录因子：（1）在两组差异表达基因的结合位点具有统计学意义；（2）鼻咽组织中转录因子与基因的表达存在相关性；（3）相关基因的表达至少有40%是受转录因子影响的。结果在Ⅰ型NPC较Ⅱ型NPC上调的差异表达基因谱（“Ⅰ_Ⅱ_Up”）中，找到对应的符合条件的转录因子有80个。其中RUNX3、GATA3、NR3C1、NRF1、RXRA、SMAD7、TBP、ZBTB6等8个正调节因子和HLF、MTF1等2个负调节因子，它们调控与T细胞受体信号通路相关的基因。然而在Ⅰ型NPC较Ⅱ型NPC下调的差异表达基因谱（“Ⅰ_Ⅱ_Down”）中，未找到符合条件的转录因子。结论通过分析Ⅰ、Ⅱ型NPC患者鼻咽组织活检样本的差异表达基因谱发现，Ⅰ型NPC（NPC_Ⅰ）患者的差异表达基因主要与机体免疫反应相关，利用EXCEL及生物信息学方法，挖掘出8个正调节因子和2个负调节因子，主要调控与T细胞受体信号通路相关的基因。预测到的这10个转录因子有可能成为药物研发的新靶点，通过增强机体免疫防御能力，有望提高NPC患者的生存率。但研究中未能发现与“Ⅰ_Ⅱ_Down”基因谱明显相关的转录因子，这可能与NPC_Ⅱ患者差异表达基因受转录因子、DNA修饰、磷酸化、染色体变异、环境等多因素影响有关。
목적：탐구41례비인조직활검양본중차이기인표체보소현시적실조기인급알굴조공저사기인적전록인자。방법이용EXCEL급생물신식학방법분석Ⅰ、Ⅱ형비인암（NPC）환자비인조직활검양본중차이표체기인보，알굴출동시부합이하조건적전록인자：（1）재량조차이표체기인적결합위점구유통계학의의；（2）비인조직중전록인자여기인적표체존재상관성；（3）상관기인적표체지소유40%시수전록인자영향적。결과재Ⅰ형NPC교Ⅱ형NPC상조적차이표체기인보（“Ⅰ_Ⅱ_Up”）중，조도대응적부합조건적전록인자유80개。기중RUNX3、GATA3、NR3C1、NRF1、RXRA、SMAD7、TBP、ZBTB6등8개정조절인자화HLF、MTF1등2개부조절인자，타문조공여T세포수체신호통로상관적기인。연이재Ⅰ형NPC교Ⅱ형NPC하조적차이표체기인보（“Ⅰ_Ⅱ_Down”）중，미조도부합조건적전록인자。결론통과분석Ⅰ、Ⅱ형NPC환자비인조직활검양본적차이표체기인보발현，Ⅰ형NPC（NPC_Ⅰ）환자적차이표체기인주요여궤체면역반응상관，이용EXCEL급생물신식학방법，알굴출8개정조절인자화2개부조절인자，주요조공여T세포수체신호통로상관적기인。예측도적저10개전록인자유가능성위약물연발적신파점，통과증강궤체면역방어능력，유망제고NPC환자적생존솔。단연구중미능발현여“Ⅰ_Ⅱ_Down”기인보명현상관적전록인자，저가능여NPC_Ⅱ환자차이표체기인수전록인자、DNA수식、린산화、염색체변이、배경등다인소영향유관。
Objective To analyze the dysregulated genes among the differentially expressed genes in 41 nasopharyngeal biopsy samples and identify their protective transcriptional factors. Methods The differentially expressed gene profiles were obtained by analyzing both types I and II nasopharyngeal carcinoma (NPC_I and NPC_II, respectively) using EXcelland Bioinformatics tools. The transcriptional factors were further studied only when (1) the difference in the binding sites of the differentially expressed genes between NPC_I and NPC_II groups was statistically significant, (2) the expressions of the transcription factors were correlated with the gene expressions in the samples, and (3) the transcription factors affected at least 40%of the expression of the related genes. Results In NPC_I samples, 80 transcription factors were found to be up-regulated, in which RUNX3, GATA3, NR3C1, NRF1, RXRA, SMAD7, TBP, and ZBTB6 were positive factors and HLF and MTF1 were negative factors, involved in the regulation of the genes in T cell receptor signaling pathway. No eligible transcription factors were found in association with down-regulated genes in NPC_I compared to NPC_II gene expression profiles. Conclusions The over-expressed genes in NPC_I are mainly related to immune responses, and we found 8 positive factors and 2 negative factors that regulate the genes in T cell receptor signaling pathway. The 10 transcription factors may serve as potential therapeutic targets for NPC_I. We failed to identify any transcription factors associated with down-regulated genes in NPC_I relative to NPC_II possibly as a result of multiple factors that affect the differential gene expressions in NPC_II including the transcription factors, DNA phosphorylation and modification, chromosome variation and environmental factors.