Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram.
Predicting postoperative peritoneal metastasis in gastric cancer with serosal invasion using a collagen nomogram.
复制标题
使用胶原列线图预测浆膜侵犯胃癌术后腹膜转移
DOI：
10.1038/s41467-020-20429-0
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发表时间：
2021-01-08
影响因子：
16.6
通讯作者：
Yan J
中科院分区：
文献类型：
--
作者：
Chen D;Liu Z;Liu W;Fu M;Jiang W;Xu S;Wang G;Chen F;Lu J;Chen H;Dong X;Li G;Chen G;Zhuo S;Yan J
准确预测有浆膜侵犯的胃癌腹膜转移在临床上具有重要意义。肿瘤微环境中胶原的存在影响癌细胞的转移。在这里，我们提出了一个胶原信号，它由来自多光子成像的浆膜肿瘤微环境中的多种胶原特征组成，来描述胶原改变的程度。我们发现高胶原信号与腹膜转移的高风险显著相关(P<； 0.001)。构建了包括胶原信号、肿瘤大小、肿瘤分化状态和淋巴结转移在内的竞争风险诺模图。诺模图显示了令人满意的辨别和校准。因此，胃浆膜肿瘤微环境中的胶原信号与有浆膜侵犯的胃癌的腹膜转移有关，该图可以方便地单独预测胃癌根治术后有浆膜侵犯的腹膜转移风险。
Accurate prediction of peritoneal metastasis for gastric cancer (GC) with serosal invasion is crucial in clinic. The presence of collagen in the tumour microenvironment affects the metastasis of cancer cells. Herein, we propose a collagen signature, which is composed of multiple collagen features in the tumour microenvironment of the serosa derived from multiphoton imaging, to describe the extent of collagen alterations. We find that a high collagen signature is significantly associated with a high risk of peritoneal metastasis (P< 0.001). A competing-risk nomogram including the collagen signature, tumour size, tumour differentiation status and lymph node metastasis is constructed. The nomogram demonstrates satisfactory discrimination and calibration. Thus, the collagen signature in the tumour microenvironment of the gastric serosa is associated with peritoneal metastasis in GC with serosal invasion, and the nomogram can be conveniently used to individually predict the risk of peritoneal metastasis in GC with serosal invasion after radical surgery.
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影响因子：
5.2
作者：
Bando, E;Kawamura, T;Yonemura, Y
通讯作者：
Yonemura, Y
影响因子：
168.9
作者：
HAGIWARA, A;TAKAHASHI, T;SAKAKURA, C
通讯作者：
SAKAKURA, C
影响因子：
10.6
作者：
Grigorescu, SE;Petkov, N;Kruizinga, P
通讯作者：
Kruizinga, P
影响因子：
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通讯作者：
Glunde, Kristine
影响因子：
6
作者：
Conklin, Matthew W.;Eickhoff, Jens C.;Keely, Patricia J.
通讯作者：
Keely, Patricia J.