Identification of prognostic lipid droplet-associated genes in pancreatic cancer patients via bioinformatics analysis.
Identification of prognostic lipid droplet-associated genes in pancreatic cancer patients via bioinformatics analysis.
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DOI：
10.1186/s12944-021-01476-y
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发表时间：
2021-06-02
影响因子：
4.5
通讯作者：
Sunami Y
中科院分区：
文献类型：
--
作者：
Bai R;Rebelo A;Kleeff J;Sunami Y
胰腺癌是美国女性和男性癌症死亡的第四大原因，预计到2030年将成为第二大致命癌症。总体5年生存率保持在10%左右。肿瘤代谢，特别是脂质代谢在胰腺癌的进展和转移中起着重要作用。脂滴不仅具有储存和转运脂质的功能，而且还具有分子信使和信号传导的作用。由于脂滴参与肿瘤细胞代谢的重编程以及胰腺癌细胞的侵袭和迁移，我们的目的是鉴定脂滴相关基因作为胰腺癌的预后标志物。我们对与脂滴相关蛋白相关的综述文章进行了文献检索。为了选择相关的脂滴相关因子，在GEPIA平台上对所选基因进行生物信息学分析（数据是公开可获得的），以鉴定胰腺癌相对于健康胰腺组织中的差异表达。差异表达的基因进一步分析胰腺癌患者的总生存率。65个因素被确定为脂滴相关因素。在GEPIA平台上对179例胰腺癌样本和171例正常胰腺组织样本进行生物信息学分析，发现胰腺癌中有39个去表达基因，其中36个上调基因（ACSL 3、ACSL 4、AGPAT 2、BSCL 2、CAV 1、CAV 2、CAVIN 1、CES 1、CIDEC、DGAT 1、DGAT 2、FAF 2、GOS 2、HILPDA、HSD17 B11、ICE 2、LDAH、LIPE、LPCAT 1、LPCAT 2、LPIN 1、MGLL、NAPA、NCEH1、PCYT1A、PLIN2、PLIN3、RAB5A、RAB7A、RAB8A、RAB18、SNAP23、SQLE、VAPA、VCP、VMP1）和3个下调基因（FITM1、PLIN4、PLIN5）。在39个差异表达因子中，7个上调基因（CAV 2、CIDEC、HILPDA、HSD17 B11、NCEH1、RAB 5A和SQLE）和2个下调基因（BSCL 2和FITM 1）与胰腺癌患者的总生存率显著相关。多变量考克斯回归分析将GV 2确定为唯一的独立预后因素。通过生物信息学分析，我们确定了9个预后相关的差异表达基因，突出了脂滴相关因子在胰腺癌中的作用。
Pancreatic cancer is the fourth leading cause of cancer deaths in the United States both in females and in males, and is projected to become the second deadliest cancer by 2030. The overall 5-year survival rate remains at around 10%. Cancer metabolism and specifically lipid metabolism plays an important role in pancreatic cancer progression and metastasis. Lipid droplets can not only store and transfer lipids, but also act as molecular messengers, and signaling factors. As lipid droplets are implicated in reprogramming tumor cell metabolism and in invasion and migration of pancreatic cancer cells, we aimed to identify lipid droplet-associated genes as prognostic markers in pancreatic cancer. We performed a literature search on review articles related to lipid droplet-associated proteins. To select relevant lipid droplet-associated factors, bioinformatics analysis on the GEPIA platform (data are publicly available) was carried out for selected genes to identify differential expression in pancreatic cancer versus healthy pancreatic tissues. Differentially expressed genes were further analyzed regarding overall survival of pancreatic cancer patients. 65 factors were identified as lipid droplet-associated factors. Bioinformatics analysis of 179 pancreatic cancer samples and 171 normal pancreatic tissue samples on the GEPIA platform identified 39 deferentially expressed genes in pancreatic cancer with 36 up-regulated genes (ACSL3, ACSL4, AGPAT2, BSCL2, CAV1, CAV2, CAVIN1, CES1, CIDEC, DGAT1, DGAT2, FAF2, G0S2, HILPDA, HSD17B11, ICE2, LDAH, LIPE, LPCAT1, LPCAT2, LPIN1, MGLL, NAPA, NCEH1, PCYT1A, PLIN2, PLIN3, RAB5A, RAB7A, RAB8A, RAB18, SNAP23, SQLE, VAPA, VCP, VMP1) and 3 down-regulated genes (FITM1, PLIN4, PLIN5). Among 39 differentially expressed factors, seven up-regulated genes (CAV2, CIDEC, HILPDA, HSD17B11, NCEH1, RAB5A, and SQLE) and two down-regulation genes (BSCL2 and FITM1) were significantly associated with overall survival of pancreatic cancer patients. Multivariate Cox regression analysis identified CAV2 as the only independent prognostic factor. Through bioinformatics analysis, we identified nine prognostic relevant differentially expressed genes highlighting the role of lipid droplet-associated factors in pancreatic cancer.
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影响因子：
6.6
作者：
Codenotti, Silvia;Vezzoli, Marika;Fanzani, Alessandro
通讯作者：
Fanzani, Alessandro
DOI：
10.1002/hep.30350
发表时间：
2019-04
期刊：
Hepatology (Baltimore, Md.)
影响因子：
--
作者：
Ma Y;Belyaeva OV;Brown PM;Fujita K;Valles K;Karki S;de Boer YS;Koh C;Chen Y;Du X;Handelman SK;Chen V;Speliotes EK;Nestlerode C;Thomas E;Kleiner DE;Zmuda JM;Sanyal AJ;(for the Nonalcoholic Steatohepatitis Clinical Research Network);Kedishvili NY;Liang TJ;Rotman Y
通讯作者：
Rotman Y
影响因子：
13.6
作者：
Lass, Achim;Zimmermann, Robert;Oberer, Monika;Zechner, Rudolf
通讯作者：
Zechner, Rudolf
影响因子：
9.7
作者：
Kim, Sun-Hee;Wang, Dingzhi;Park, Yun-Yong;Katoh, Hiroshi;Margalit, Ofer;Sheffer, Michal;Wu, Hong;Holla, Vijaykumar R.;Lee, Ju-Seog;DuBois, Raymond N.
通讯作者：
DuBois, Raymond N.
细菌、线虫和哺乳动物脂滴上的羟基类固醇脱氢酶家族蛋白
DOI：
10.1016/j.bbalip.2018.04.018
发表时间：
2018-08-01
影响因子：
4.8
作者：
Liu, Yangli;Xu, Shimeng;Liu, Pingsheng
通讯作者：
Liu, Pingsheng