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转移模式:来自日本病理尸检登记分析的见解

Metastatic Patterns: Insights from Japanese Pathological Autopsy Registry Analysis.

作者信息

Hara Tomohiko, Oka Suguru, Ito Shinji, Yamaguchi Takeshi, Hayashida Michikata, Sakaguchi Kazushige, Urakami Shinji

机构信息

Office of Research Administration, Center for Regulatory Science, Pharmaceuticals and Medical Devices Agency, Tokyo, Japan.

Department of Urology, Toranomon Hospital, Tokyo, Japan.

出版信息

Oncology. 2025;103(8):655-666. doi: 10.1159/000542684. Epub 2024 Nov 21.

Abstract

INTRODUCTION

Understanding the metastatic patterns is crucial for the treatment of malignancies. This study aimed to identify the characteristic organ metastases of primary malignancies, including rare malignancies, and classify them according to their metastatic patterns.

METHODS

We extracted data on primary malignancies and organ metastases from the Annual of Pathological Autopsy Cases in Japan recorded in 1993-2021. Autopsy findings of the primary and metastatic organs in patients with malignancy were recorded on an organ-by-organ basis. The metastatic frequency (number of metastases per autopsy) and the proportion (percentage of organs with metastases out of the total in a primary malignancy) for 48 organ metastasis sites across 76 primary malignancies were calculated. Metastatic patterns were classified into hierarchical and nonhierarchical clustering classifications based on the standard proportion of organ metastases.

RESULTS

A total of 332,195 autopsy cases and 810,206 organ metastases were analyzed. The metastatic frequency of all malignancies was 2.44. Malignancies of the placenta, eye, and ovary showed a higher propensity for metastasis, whereas central nervous system malignancies showed a lower tendency. Metastasis site was a characteristic of each malignancy, with a particularly high proportion of lung metastasis in parathyroid malignancy and bone metastasis in prostate malignancy. In the hierarchical and nonhierarchical cluster methods, brain, lung, liver, bone, peritoneum, and hematolymphoid organ were key metastatic sites, and this factor divided primary malignancies into seven categories. The unweighted kappa coefficient comparing the two classification methods was 0.84 (95% confidence interval: 0.75-0.93). The proportion of metastatic organs was influenced by anatomical location and/or organ specificity of the primary malignancies.

CONCLUSION

Our study provides a comprehensive overview of the patterns and frequencies of metastatic organ sites associated with 76 primary malignancies. Our findings will provide useful information for future research and clinical practice.

摘要

引言

了解转移模式对于恶性肿瘤的治疗至关重要。本研究旨在确定原发性恶性肿瘤(包括罕见恶性肿瘤)的特征性器官转移情况,并根据其转移模式进行分类。

方法

我们从1993 - 2021年记录的《日本病理尸检病例年报》中提取了原发性恶性肿瘤和器官转移的数据。对恶性肿瘤患者的原发器官和转移器官的尸检结果逐器官进行记录。计算了76种原发性恶性肿瘤中48个器官转移部位的转移频率(每次尸检的转移数量)和比例(原发性恶性肿瘤中发生转移的器官占总数的百分比)。基于器官转移的标准比例,将转移模式分为层次聚类和非层次聚类分类。

结果

共分析了332,195例尸检病例和810,206处器官转移。所有恶性肿瘤的转移频率为2.44。胎盘、眼和卵巢的恶性肿瘤转移倾向较高,而中枢神经系统恶性肿瘤转移倾向较低。转移部位是每种恶性肿瘤的特征,甲状旁腺恶性肿瘤中肺转移比例特别高,前列腺恶性肿瘤中骨转移比例特别高。在层次聚类和非层次聚类方法中,脑、肺、肝、骨、腹膜和血液淋巴器官是关键转移部位,这一因素将原发性恶性肿瘤分为七类。两种分类方法的未加权kappa系数为0.84(95%置信区间:0.75 - 0.93)。转移器官的比例受原发性恶性肿瘤的解剖位置和/或器官特异性影响。

结论

我们的研究全面概述了与76种原发性恶性肿瘤相关的转移器官部位的模式和频率。我们的发现将为未来的研究和临床实践提供有用信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fce2/12324694/61c8bc229fb4/ocl-2025-0103-0008-542684_F01.jpg

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