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Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases
BACKGROUND: Serum microRNAs (miRNAs) have been recognized as potential stable biomarkers for various types of cancer. Considering the clinical applications, there are certain critical requirements, such as minimizing the number of miRNAs, reproducibility in a longitudinal clinical course, and superi...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726799/ https://www.ncbi.nlm.nih.gov/pubmed/36175711 http://dx.doi.org/10.1245/s10434-022-12355-w |
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author | Yoshikawa, Yukihiro Fukunaga, Mitsuko Takahashi, Junichi Shimizu, Dai Masuda, Takaaki Mizushima, Tsunekazu Yamada, Kazutaka Mori, Masaki Eguchi, Hidetoshi Doki, Yuichiro Ochiya, Takahiro Mimori, Koshi |
author_facet | Yoshikawa, Yukihiro Fukunaga, Mitsuko Takahashi, Junichi Shimizu, Dai Masuda, Takaaki Mizushima, Tsunekazu Yamada, Kazutaka Mori, Masaki Eguchi, Hidetoshi Doki, Yuichiro Ochiya, Takahiro Mimori, Koshi |
author_sort | Yoshikawa, Yukihiro |
collection | PubMed |
description | BACKGROUND: Serum microRNAs (miRNAs) have been recognized as potential stable biomarkers for various types of cancer. Considering the clinical applications, there are certain critical requirements, such as minimizing the number of miRNAs, reproducibility in a longitudinal clinical course, and superiority to conventional tumor markers, such as carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9. This study aimed to identify serum miRNAs that indicate the recurrence of colorectal cancer (CRC), surpassing inter-tumor heterogeneity. METHODS: We conducted an analysis of 434 serum samples from 91 patients with CRC and 71 healthy subjects. miRNAs were obtained from Toray Co., Ltd, and miRNA profiles were analyzed using a three-step approach. miRNAs that were highly expressed in patients with CRC than in the healthy controls in the screening phase, and those that were highly expressed in the preoperative samples than in the 1-month postoperative samples in the discovery phase, were extracted. In the validation phase, the extracted miRNAs were evaluated in 323 perioperative samples, in chronological order. RESULTS: A total of 12 miRNAs (miR-25-3p, miR-451a, miR-1246, miR-1268b, miR-2392, miR-4480, miR-4648, miR-4732-5p, miR-4736, miR-6131, miR-6776-5p, and miR-6851-5p) were significantly concordant with the clinical findings of tumor recurrence, however their ability to function as biomarkers was comparable with CEA. In contrast, the combination of miR-1246, miR-1268b, and miR-4648 demonstrated a higher area under the curve (AUC) than CEA. These three miRNAs were upregulated in primary CRC tissues. CONCLUSION: We identified ideal combinatorial miRNAs to predict CRC recurrence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-022-12355-w. |
format | Online Article Text |
id | pubmed-9726799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97267992022-12-08 Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases Yoshikawa, Yukihiro Fukunaga, Mitsuko Takahashi, Junichi Shimizu, Dai Masuda, Takaaki Mizushima, Tsunekazu Yamada, Kazutaka Mori, Masaki Eguchi, Hidetoshi Doki, Yuichiro Ochiya, Takahiro Mimori, Koshi Ann Surg Oncol Colorectal Cancer BACKGROUND: Serum microRNAs (miRNAs) have been recognized as potential stable biomarkers for various types of cancer. Considering the clinical applications, there are certain critical requirements, such as minimizing the number of miRNAs, reproducibility in a longitudinal clinical course, and superiority to conventional tumor markers, such as carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9. This study aimed to identify serum miRNAs that indicate the recurrence of colorectal cancer (CRC), surpassing inter-tumor heterogeneity. METHODS: We conducted an analysis of 434 serum samples from 91 patients with CRC and 71 healthy subjects. miRNAs were obtained from Toray Co., Ltd, and miRNA profiles were analyzed using a three-step approach. miRNAs that were highly expressed in patients with CRC than in the healthy controls in the screening phase, and those that were highly expressed in the preoperative samples than in the 1-month postoperative samples in the discovery phase, were extracted. In the validation phase, the extracted miRNAs were evaluated in 323 perioperative samples, in chronological order. RESULTS: A total of 12 miRNAs (miR-25-3p, miR-451a, miR-1246, miR-1268b, miR-2392, miR-4480, miR-4648, miR-4732-5p, miR-4736, miR-6131, miR-6776-5p, and miR-6851-5p) were significantly concordant with the clinical findings of tumor recurrence, however their ability to function as biomarkers was comparable with CEA. In contrast, the combination of miR-1246, miR-1268b, and miR-4648 demonstrated a higher area under the curve (AUC) than CEA. These three miRNAs were upregulated in primary CRC tissues. CONCLUSION: We identified ideal combinatorial miRNAs to predict CRC recurrence. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-022-12355-w. Springer International Publishing 2022-09-29 2023 /pmc/articles/PMC9726799/ /pubmed/36175711 http://dx.doi.org/10.1245/s10434-022-12355-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Colorectal Cancer Yoshikawa, Yukihiro Fukunaga, Mitsuko Takahashi, Junichi Shimizu, Dai Masuda, Takaaki Mizushima, Tsunekazu Yamada, Kazutaka Mori, Masaki Eguchi, Hidetoshi Doki, Yuichiro Ochiya, Takahiro Mimori, Koshi Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases |
title | Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases |
title_full | Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases |
title_fullStr | Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases |
title_full_unstemmed | Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases |
title_short | Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases |
title_sort | identification of the minimum combination of serum micrornas to predict the recurrence of colorectal cancer cases |
topic | Colorectal Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726799/ https://www.ncbi.nlm.nih.gov/pubmed/36175711 http://dx.doi.org/10.1245/s10434-022-12355-w |
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