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Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence

BACKGROUND: Within the group of node-negative colon cancer patients, presumed to have a good prognosis, a significant percentage of patients develops cancer-recurrence. Current high-risk features prove inadequate to select these particular high-risk patients. In the process of tailor-made care and s...

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Autores principales: Strous, Maud T. A., van der Linden, Ragna L. A., Gubbels, Audrey L. H. M., Faes, Timothy K. E., Bosscha, Koop, Bronkhorst, Carolien M., Janssen-Heijnen, Maryska L. G., de Bruïne, Adriaan P., Vogelaar, F. Jeroen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283206/
https://www.ncbi.nlm.nih.gov/pubmed/37344790
http://dx.doi.org/10.1186/s10020-023-00677-8
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author Strous, Maud T. A.
van der Linden, Ragna L. A.
Gubbels, Audrey L. H. M.
Faes, Timothy K. E.
Bosscha, Koop
Bronkhorst, Carolien M.
Janssen-Heijnen, Maryska L. G.
de Bruïne, Adriaan P.
Vogelaar, F. Jeroen
author_facet Strous, Maud T. A.
van der Linden, Ragna L. A.
Gubbels, Audrey L. H. M.
Faes, Timothy K. E.
Bosscha, Koop
Bronkhorst, Carolien M.
Janssen-Heijnen, Maryska L. G.
de Bruïne, Adriaan P.
Vogelaar, F. Jeroen
author_sort Strous, Maud T. A.
collection PubMed
description BACKGROUND: Within the group of node-negative colon cancer patients, presumed to have a good prognosis, a significant percentage of patients develops cancer-recurrence. Current high-risk features prove inadequate to select these particular high-risk patients. In the process of tailor-made care and shared decision-making the need to identify these patients grows. In this study we investigate the value of adding molecular markers and the tumour-stroma ratio (TSR) to conventional histological tumour staging methods to improve the selection of high risk patients. METHODS: We retrospectively analysed 201 patients diagnosed with TNM-stage I-II colon cancer and treated by complete oncological resection between November 1st 2002 and December 31st 2012 at the Jeroen Bosch Hospital. Conventional histological tumour staging, BRAF mutations, KRAS mutations, MSI status and TSR were determined. Differences between groups based on TSR and mutation status, in disease free survival were analysed using Cox-Regression analyses. RESULTS: Poorly differentiated histology (p = 0.002), high-TSR (p = 0.033), BRAF-mutation (p = 0.008) and MSI (p = 0.011) were identified as significant risk factors for cancer recurrence. The risk of recurrence increased in the presence of both a BRAF-mutation and high-TSR compared to the absence of both factors or presence of only one factor (HR = 3.66 BRAF-mt/TSR-low (p = 0.006), HR 2.82 BRAF-wt/TSR-high (p = 0.015), HR = 4.39 BRAF-mt/TSR-high (p = 0.023)). This was also seen in tumours with MSI and high-TSR (HR = 2.46 MSS/TSR-high (p = 0.041), HR = 3.31 MSI/TSR-high (p = 0.045). CONCLUSION: Judging by the higher HR for the combination of the prognostic factors TSR and BRAF compared to the HRs of these prognostic factors individually, the prognostication for disease free survival can be improved by determining both TSR and BRAF instead of BRAF alone, as is done in current daily practise. In this study MSI also shows additional value to TSR in the prognostication of disease free survival. Adopting TSR into daily diagnostics will be of additional value next to currently used molecular markers in risk stratification of patients with node negative colon cancer and is therefore advised.
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spelling pubmed-102832062023-06-22 Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence Strous, Maud T. A. van der Linden, Ragna L. A. Gubbels, Audrey L. H. M. Faes, Timothy K. E. Bosscha, Koop Bronkhorst, Carolien M. Janssen-Heijnen, Maryska L. G. de Bruïne, Adriaan P. Vogelaar, F. Jeroen Mol Med Research Article BACKGROUND: Within the group of node-negative colon cancer patients, presumed to have a good prognosis, a significant percentage of patients develops cancer-recurrence. Current high-risk features prove inadequate to select these particular high-risk patients. In the process of tailor-made care and shared decision-making the need to identify these patients grows. In this study we investigate the value of adding molecular markers and the tumour-stroma ratio (TSR) to conventional histological tumour staging methods to improve the selection of high risk patients. METHODS: We retrospectively analysed 201 patients diagnosed with TNM-stage I-II colon cancer and treated by complete oncological resection between November 1st 2002 and December 31st 2012 at the Jeroen Bosch Hospital. Conventional histological tumour staging, BRAF mutations, KRAS mutations, MSI status and TSR were determined. Differences between groups based on TSR and mutation status, in disease free survival were analysed using Cox-Regression analyses. RESULTS: Poorly differentiated histology (p = 0.002), high-TSR (p = 0.033), BRAF-mutation (p = 0.008) and MSI (p = 0.011) were identified as significant risk factors for cancer recurrence. The risk of recurrence increased in the presence of both a BRAF-mutation and high-TSR compared to the absence of both factors or presence of only one factor (HR = 3.66 BRAF-mt/TSR-low (p = 0.006), HR 2.82 BRAF-wt/TSR-high (p = 0.015), HR = 4.39 BRAF-mt/TSR-high (p = 0.023)). This was also seen in tumours with MSI and high-TSR (HR = 2.46 MSS/TSR-high (p = 0.041), HR = 3.31 MSI/TSR-high (p = 0.045). CONCLUSION: Judging by the higher HR for the combination of the prognostic factors TSR and BRAF compared to the HRs of these prognostic factors individually, the prognostication for disease free survival can be improved by determining both TSR and BRAF instead of BRAF alone, as is done in current daily practise. In this study MSI also shows additional value to TSR in the prognostication of disease free survival. Adopting TSR into daily diagnostics will be of additional value next to currently used molecular markers in risk stratification of patients with node negative colon cancer and is therefore advised. BioMed Central 2023-06-21 /pmc/articles/PMC10283206/ /pubmed/37344790 http://dx.doi.org/10.1186/s10020-023-00677-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Research Article
Strous, Maud T. A.
van der Linden, Ragna L. A.
Gubbels, Audrey L. H. M.
Faes, Timothy K. E.
Bosscha, Koop
Bronkhorst, Carolien M.
Janssen-Heijnen, Maryska L. G.
de Bruïne, Adriaan P.
Vogelaar, F. Jeroen
Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence
title Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence
title_full Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence
title_fullStr Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence
title_full_unstemmed Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence
title_short Node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence
title_sort node-negative colon cancer: histological, molecular, and stromal features predicting disease recurrence
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283206/
https://www.ncbi.nlm.nih.gov/pubmed/37344790
http://dx.doi.org/10.1186/s10020-023-00677-8
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