Clinical significance of MUC13 in pancreatic ductal adenocarcinoma.
Clinical significance of MUC13 in pancreatic ductal adenocarcinoma.
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MUC13在胰腺导管腺癌中的临床意义。
DOI：
10.1016/j.hpb.2017.12.003
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发表时间：
2018-06
期刊：
影响因子：
--
通讯作者：
Chauhan SC
中科院分区：
文献类型：
--
作者：
Khan S;Zafar N;Khan SS;Setua S;Behrman SW;Stiles ZE;Yallapu MM;Sahay P;Ghimire H;Ise T;Nagata S;Wang L;Wan JY;Pradhan P;Jaggi M;Chauhan SC
胰腺癌（PanCa）预后不良与缺乏有效的早期诊断生物标志物有关。这项研究阐明了MUC 13作为PanCa的诊断/预后标志物的意义。使用我们内部产生的抗MUC 13小鼠单克隆抗体评估组织中的MUC 13，并通过免疫组织化学、免疫印迹、RT-PCR、计算和亚微米尺度质量密度波动分析、ROC和Kaplan Meir曲线分析来分析临床相关性。胰腺上皮内瘤变（PanIN）病变中100%检测到MUC 13表达（平均综合评分：MCS=5.8; AUC >0.8，P<0.0001），94.6%的胰腺导管腺癌（PDAC）样本（MCS=9.7，P<0.0001）与癌旁组织中的低表达相比（MCS=4，P<0.001），正常胰腺组织中沿着有微弱或无表达（MCS=0.8; AUC >0.8; P<0.0001）。核MUC 13表达与淋巴结转移（P<0.05）、癌细胞向周围组织的浸润（P<0.5）和患者生存率差（P<0.05;预后AUC=0.9）呈正相关。亚微米尺度质量密度和基于人工智能的算法分析还阐明了MUC 13与更大的形态学紊乱（P<0.001）的关联，并且核MUC 13是癌症侵袭性和患者存活率差的强预测因子。本研究提供了关于PanCa样本中MUC 13表达/亚细胞定位的重要信息，并支持使用抗MUC 13 MAb开发PanCa诊断/预后检测。
Poor prognosis of pancreatic cancer (PanCa) is associated with lack of an effective early diagnostic biomarker. This study elucidates significance of MUC13, as a diagnostic/prognostic marker of PanCa. MUC13 was assessed in tissues using our in-house generated anti-MUC13 mouse monoclonal antibody and analyzed for clinical correlation by immunohistochemistry, immunoblotting, RT-PCR, computational and submicron scale mass-density fluctuation analyses, ROC and Kaplan Meir curve analyses. MUC13 expression was detected in 100% pancreatic intraepithelial neoplasia (PanIN) lesions (Mean composite score: MCS=5.8; AUC >0.8, P<0.0001), 94.6% of pancreatic ductal adenocarcinoma (PDAC) samples (MCS=9.7, P<0.0001) as compared to low expression in tumor adjacent tissues (MCS=4, P<0.001) along with faint or no expression in normal pancreatic tissues (MCS=0.8; AUC >0.8; P<0.0001). Nuclear MUC13 expression positively correlated with nodal metastasis (P<0.05), invasion of cancer to peripheral tissues (P<0.5) and poor patient survival (P<0.05; prognostic AUC=0.9). Submicron scale mass density and artificial intelligence based algorithm analyses also elucidated association of MUC13 with greater morphological disorder (P<0.001) and nuclear MUC13 as strong predictor for cancer aggressiveness and poor patient survival. This study provides significant information regarding MUC13 expression/subcellular localization in PanCa samples and supporting the use anti-MUC13 MAb for the development of PanCa diagnostic/prognostic test.
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影响因子：
6.3
作者：
Gupta, Brij K.;Maher, Diane M.;Ebeling, Mara C.;Stephenson, Phillip D.;Puumala, Susan E.;Koch, Michael R.;Aburatani, Hiroyuki;Jaggi, Meena;Chauhan, Subhash C.
通讯作者：
Chauhan, Subhash C.
影响因子：
2
作者：
Pradhan P;Damania D;Joshi HM;Turzhitsky V;Subramanian H;Roy HK;Taflove A;Dravid VP;Backman V
通讯作者：
Backman V
影响因子：
5.7
作者：
Chauhan SC;Ebeling MC;Maher DM;Koch MD;Watanabe A;Aburatani H;Lio Y;Jaggi M
通讯作者：
Jaggi M
影响因子：
2.2
作者：
Kaur S;Baine MJ;Jain M;Sasson AR;Batra SK
通讯作者：
Batra SK
影响因子：
3.4
作者：
Damania, Dhwanil;Subramanian, Hariharan;Backman, Vadim
通讯作者：
Backman, Vadim