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Updated: Jun 4, 2025
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Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
Published on: February 21, 2014
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Nuclear receptor profiling for subtype classification and as prognostic markers in 33 cancer types
Kazuya Nakamichi1,2, Hironori Suzuki2,3, Yusuke Yamamoto2
1Department of Life Science and Medical Bioscience, School of Advanced Science and Engineering, Waseda University, Tokyo, Japan.
Discover Oncology
|December 23, 2024
Summary
Nuclear receptors are key in some cancers. This study classified nuclear receptor expression across 33 cancer types, revealing distinct patterns and potential new diagnostic markers like NR0B1 for lung adenocarcinoma.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Nuclear receptors (transcription factors) are established in breast cancer, prostate cancer, and leukemia.
- Their broader role in diverse cancer types remains under-investigated.
Purpose of the Study:
- To explore novel cancer diagnostic markers by analyzing nuclear receptor expression patterns.
- To classify nuclear receptors based on transcriptome data across multiple cancer types.
- To investigate associations with mutations, histology, and patient prognosis.
Main Methods:
- Utilized The Cancer Genome Atlas (TCGA) transcriptome data from 10,071 tumor samples.
- Classified nuclear receptor expression profiles across 33 distinct cancer types.
- Analyzed correlations between expression patterns, genetic mutations, histological subtypes, and overall survival.
Main Results:
- Identified distinct nuclear receptor expression profiles in 21 cancer types, including breast cancer.
- Observed significant overall survival differences in 9 of these 21 cancer types.
- Highlighted NR0B1 as a potential diagnostic marker in lung adenocarcinoma.
Conclusions:
- Nuclear receptor expression patterns offer a basis for cancer classification and biomarker discovery.
- Previously underappreciated nuclear receptors present opportunities for novel cancer diagnostics.
- This study provides a foundation for further investigation into nuclear receptors as pan-cancer diagnostic tools.
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