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An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer
BACKGROUND: According to current guidelines, more than 70% of patients with invasive submucosal colorectal cancer (T1 CRC) undergo a radical operation with lymph node dissection, even though only ~ 10% have lymph node metastasis (LNM). Hence, there is imperative to develop biomarkers that can help r...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817247/ https://www.ncbi.nlm.nih.gov/pubmed/36609320 http://dx.doi.org/10.1186/s12943-022-01685-8 |
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author | Miyazaki, Katsuki Wada, Yuma Okuno, Keisuke Murano, Tatsuro Morine, Yuji Ikemoto, Tetsuya Saito, Yu Ikematsu, Hiroaki Kinugasa, Yusuke Shimada, Mitsuo Goel, Ajay |
author_facet | Miyazaki, Katsuki Wada, Yuma Okuno, Keisuke Murano, Tatsuro Morine, Yuji Ikemoto, Tetsuya Saito, Yu Ikematsu, Hiroaki Kinugasa, Yusuke Shimada, Mitsuo Goel, Ajay |
author_sort | Miyazaki, Katsuki |
collection | PubMed |
description | BACKGROUND: According to current guidelines, more than 70% of patients with invasive submucosal colorectal cancer (T1 CRC) undergo a radical operation with lymph node dissection, even though only ~ 10% have lymph node metastasis (LNM). Hence, there is imperative to develop biomarkers that can help robustly identify LNM-positive patients to prevent such overtreatments. Given the emerging interest in exosomal cargo as a source for biomarker development in cancer, we examined the potential of exosomal miRNAs as LNM prediction biomarkers in T1 CRC. METHODS: We analyzed 200 patients with high-risk T1 CRC from two independent cohorts, including a training (n = 58) and a validation cohort (n = 142). Cell-free and exosomal RNAs from pre-operative serum were extracted, followed by quantitative reverse-transcription polymerase chain reactions for a panel of miRNAs. RESULTS: A panel of four miRNAs (miR-181b, miR-193b, miR-195, and miR-411) exhibited robust ability for detecting LNM in the exosomal vs. cell-free component. We subsequently established a cell-free and exosomal combination signature, successfully validated in two independent clinical cohorts (AUC, 0.84; 95% CI 0.70–0.98). Finally, we developed a risk-stratification model by including key pathological features, which reduced the false positive rates for LNM by 76% without missing any true LNM-positive patients. CONCLUSIONS: Our novel exosomal miRNA-based liquid biopsy signature robustly identifies T1 CRC patients at risk of LNM in a preoperative setting. This could be clinically transformative in reducing the significant overtreatment burden of this malignancy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-022-01685-8. |
format | Online Article Text |
id | pubmed-9817247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98172472023-01-07 An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer Miyazaki, Katsuki Wada, Yuma Okuno, Keisuke Murano, Tatsuro Morine, Yuji Ikemoto, Tetsuya Saito, Yu Ikematsu, Hiroaki Kinugasa, Yusuke Shimada, Mitsuo Goel, Ajay Mol Cancer Correspondence BACKGROUND: According to current guidelines, more than 70% of patients with invasive submucosal colorectal cancer (T1 CRC) undergo a radical operation with lymph node dissection, even though only ~ 10% have lymph node metastasis (LNM). Hence, there is imperative to develop biomarkers that can help robustly identify LNM-positive patients to prevent such overtreatments. Given the emerging interest in exosomal cargo as a source for biomarker development in cancer, we examined the potential of exosomal miRNAs as LNM prediction biomarkers in T1 CRC. METHODS: We analyzed 200 patients with high-risk T1 CRC from two independent cohorts, including a training (n = 58) and a validation cohort (n = 142). Cell-free and exosomal RNAs from pre-operative serum were extracted, followed by quantitative reverse-transcription polymerase chain reactions for a panel of miRNAs. RESULTS: A panel of four miRNAs (miR-181b, miR-193b, miR-195, and miR-411) exhibited robust ability for detecting LNM in the exosomal vs. cell-free component. We subsequently established a cell-free and exosomal combination signature, successfully validated in two independent clinical cohorts (AUC, 0.84; 95% CI 0.70–0.98). Finally, we developed a risk-stratification model by including key pathological features, which reduced the false positive rates for LNM by 76% without missing any true LNM-positive patients. CONCLUSIONS: Our novel exosomal miRNA-based liquid biopsy signature robustly identifies T1 CRC patients at risk of LNM in a preoperative setting. This could be clinically transformative in reducing the significant overtreatment burden of this malignancy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-022-01685-8. BioMed Central 2023-01-06 /pmc/articles/PMC9817247/ /pubmed/36609320 http://dx.doi.org/10.1186/s12943-022-01685-8 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Correspondence Miyazaki, Katsuki Wada, Yuma Okuno, Keisuke Murano, Tatsuro Morine, Yuji Ikemoto, Tetsuya Saito, Yu Ikematsu, Hiroaki Kinugasa, Yusuke Shimada, Mitsuo Goel, Ajay An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer |
title | An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer |
title_full | An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer |
title_fullStr | An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer |
title_full_unstemmed | An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer |
title_short | An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer |
title_sort | exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk t1 colorectal cancer |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817247/ https://www.ncbi.nlm.nih.gov/pubmed/36609320 http://dx.doi.org/10.1186/s12943-022-01685-8 |
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