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用于33种癌症类型的亚型分类及作为预后标志物的核受体分析

Nuclear receptor profiling for subtype classification and as prognostic markers in 33 cancer types.

作者信息

Nakamichi Kazuya, Suzuki Hironori, Yamamoto Yusuke, Semba Kentaro, Nakayama Jun

机构信息

Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.

Laboratory of Integrative Oncology, National Cancer Center Research Institute, Tokyo, Japan.

出版信息

Discov Oncol. 2024 Dec 24;15(1):834. doi: 10.1007/s12672-024-01732-4.

Abstract

Nuclear receptors, a group of 48 transcription factors that regulate a multitude of processes within our body, have long been employed as diagnostic markers or therapeutic targets in breast cancer, prostate cancer, and acute promyelocytic leukemia. Unfortunately, no comprehensive investigation has been conducted on their significance in other cancer types. The current study aimed to explore novel diagnostic markers by classifying nuclear receptors according to their expression patterns based on transcriptome data from The Cancer Genome Atlas on 10,071 tumor samples across 33 cancer types and investigating their association with genetic mutations, histological types, and prognosis. Our analysis showed that 21 cancers, including breast cancer, can be classified into distinct clusters based on their nuclear receptor expression profiles. Moreover, significant differences in overall survival were observed in 9 of the 21 cancer types. Overall, the results of this study indicate that previously overlooked nuclear receptors, such as NR0B1 in lung adenocarcinoma, may prove beneficial in the diagnosis of several cancers.

摘要

核受体是一组48种转录因子,可调节我们体内的多种过程,长期以来一直被用作乳腺癌、前列腺癌和急性早幼粒细胞白血病的诊断标志物或治疗靶点。不幸的是,尚未对它们在其他癌症类型中的意义进行全面研究。当前的研究旨在通过根据来自癌症基因组图谱的10071个肿瘤样本(涵盖33种癌症类型)的转录组数据,按照核受体的表达模式对其进行分类,并研究它们与基因突变、组织学类型和预后的关联,从而探索新的诊断标志物。我们的分析表明,包括乳腺癌在内的21种癌症可以根据其核受体表达谱分为不同的簇。此外,在这21种癌症类型中的9种中观察到了总体生存率的显著差异。总体而言,这项研究的结果表明,以前被忽视的核受体,如肺腺癌中的NR0B1,可能在几种癌症的诊断中被证明是有益的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ada7/11666854/78a86671c1c3/12672_2024_1732_Fig1_HTML.jpg

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