Mixed hepatocellular and cholangiocarcinoma: a rare tumor with a mix of parent phenotypic characteristics.

来自 PUBMED

作者:

Bergquist JRGroeschl RTIvanics TShubert CRHabermann EBKendrick MLFarnell MBNagorney DMTruty MJSmoot RL

展开

摘要:

Intrahepatic lesions of mixed hepatocellular (HCC) and intrahepatic cholangiocellular carcinoma (ICC) histology are rare. The aim was to describe the natural history of these tumors relative to monomorphic ICC or HCC utilizing the National Cancer Data Base (NCDB). Patients with ICC, HCC, and mixed histology (cHCC-CCA) were identified in the NCDB (2004-2012). Inter-group comparisons were made. Kaplan-Meier and multivariable Cox Proportional Hazards analyzed overall survival. The query identified 90,499 patients with HCC; 14,463 with ICC; and 1141 with cHCC-CCA histology. Patients with cHCC-CCA histology were relatively young (61 vs. 62 (HCC, p = 0.877) and 67 (ICC, p < 0.001) years) and more likely to have poorly differentiated tumor (29.2% vs. 10.3% (HCC) and 17.2% (ICC) p < 0.001). Median overall survival for cHCC-CCA was 7.9 months vs. 10.8 (HCC) and 8.2 (ICC, all p < 0.001). Stage-specific survival for mixed histology tumors was most similar to that of HCC for all stages. cHCC-CCA were transplanted at a relatively high rate, and transplant outcomes for mixed tumors were substantially worse than for HCC lesions. cHCC-CCA demonstrate stage-specific survival similar to HCC, but post-surgical survival more consistent with ICC. Patients with a pre-operative diagnosis of cHCC-CCA should undergo resection when appropriate.

收起

展开

DOI:

10.1016/j.hpb.2016.07.006

被引量:

22

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(366)

参考文献(19)

引证文献(22)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读