RUNX2 and LAMC2: promising pancreatic cancer biomarkers identified by an integrative data mining of pancreatic adenocarcinoma tissues.
RUNX2 and LAMC2: promising pancreatic cancer biomarkers identified by an integrative data mining of pancreatic adenocarcinoma tissues.
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DOI：
10.18632/aging.203589
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发表时间：
2021-10-04
期刊：
影响因子：
--
通讯作者：
Lan L
中科院分区：
文献类型：
--
作者：
Jin G;Ruan Q;Shangguan F;Lan L
胰腺癌（PC）是一种与高死亡率相关的严重疾病。尽管癌症治疗策略已经取得了很大进展，但胰腺癌患者的预后仍然极差。因此，迫切需要寻找新的生物标志物和治疗靶点。为了确定早期诊断和治疗的生物标志物，选择了三个 mRNA 微阵列数据集和两个 miRNA 数据集，并通过 GEO2R 进行组合分析。使用DAVID数据库进行功能和通路富集分析。 MiRTarBase、miRWalk和Diana Tools用于获取关键基因。 TCGA、HPA 和蛋白质印迹用于验证关键基因的诊断和预后价值。通过整合 mRNA 和 miRNA 表达谱，我们分别鉴定了 114 个差异表达基因和 114 个差异表达 miRNA。然后，发现了三个重叠的关键基因：RUNX2、LAMC2和FBXO32。通过免疫组织化学染色和蛋白质印迹分析 PC 患者和正常人胰腺组织中的蛋白水平。 RUNX2 显示出识别 PC 的潜在特性。 LAMC2 的异常过度表达与 PC 患者的不良预后、肿瘤状态和亚型相关。总之，我们目前的研究发现 RUNX2 和 LAMC2 可能是 PC 患者早期诊断和治疗的有希望的靶点。
Pancreatic carcinoma (PC) is a severe disease associated with high mortality. Although strategies for cancer therapy have made great progress, outcomes of pancreatic carcinoma patients remain extremely poor. Therefore, it is urgent to find novel biomarkers and therapeutic targets. To identify biomarkers for early diagnosis and therapy, three mRNA microarray datasets and two miRNA datasets were selected, and combinative analysis was performed by GEO2R. Functional and pathway enrichment analysis were performed using DAVID database. MiRTarBase, miRWalk and Diana Tools were used to get key genes. TCGA, HPA and western blotting were used to verify diagnostic and prognostic value of key genes. By integrating mRNA and miRNA expression profiles, we identified 114 differentially expressed genes and 114 differentially expressed miRNAs, respectively. Then, three overlapping key genes, RUNX2, LAMC2 and FBXO32, were found. Their protein levels in pancreatic tissue from PC patients and normal people were analyzed by immunohistochemical staining and western blotting. RUNX2 showed a potential property to identify PC. Aberrant over-expression of LAMC2 was associated with poor prognosis of PC patients, tumor status and subtypes. In summary, our current study identified that RUNX2 and LAMC2 may be promising targets for early diagnosis and therapy of PC patients.
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DOI：
10.1093/bioinformatics/bts251
发表时间：
2012-07-01
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Jiao X;Sherman BT;Huang da W;Stephens R;Baseler MW;Lane HC;Lempicki RA
通讯作者：
Lempicki RA
影响因子：
3.7
作者：
Bauer AS;Keller A;Costello E;Greenhalf W;Bier M;Borries A;Beier M;Neoptolemos J;Büchler M;Werner J;Giese N;Hoheisel JD
通讯作者：
Hoheisel JD
影响因子：
64.5
作者：
Manning BD;Toker A
通讯作者：
Toker A
影响因子：
4.8
作者：
Ge, Chunxi;Xiao, Guozhi;Franceschi, Renny T.
通讯作者：
Franceschi, Renny T.
影响因子：
9.7
作者：
Boregowda, Rajeev K.;Olabisi, Oyenike O.;Abushahba, Walid;Jeong, Byeong-Seon;Haenssen, Keneshia K.;Chen, Wenjin;Chekmareva, Marina;Lasfar, Ahmed;Foran, David J.;Goydos, James S.;Cohen-Solal, Karine A.
通讯作者：
Cohen-Solal, Karine A.