A four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer

Abstract About 20 percent of TNM-stage II colon cancer patients who are treated by surgical resection develop recurrence, and adjuvant chemotherapy in this group is still debated among researchers and clinicians. Currently, adverse histopathological and clinical factors are used to select patients f...

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Autores principales: Havjin Jacob, Luka Stanisavljevic, Kristian Eeg Storli, Kjersti E. Hestetun, Olav Dahl, Mette P. Myklebust
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Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/9dd3caffa57b43dc8719f849893eb89b
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spelling oai:doaj.org-article:9dd3caffa57b43dc8719f849893eb89b2021-12-02T15:08:23ZA four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer10.1038/s41598-018-24519-42045-2322https://doaj.org/article/9dd3caffa57b43dc8719f849893eb89b2018-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-24519-4https://doaj.org/toc/2045-2322Abstract About 20 percent of TNM-stage II colon cancer patients who are treated by surgical resection develop recurrence, and adjuvant chemotherapy in this group is still debated among researchers and clinicians. Currently, adverse histopathological and clinical factors are used to select patients for adjuvant chemotherapy following surgery. However, additional biomarkers to classify patients at risk of recurrence are needed. We have conducted a study using fresh frozen tumor tissue from 54 TNM-stage II colon cancer patients and performed microRNA profiling using next-generation sequencing. For the selection of the prognostic microRNAs, a LASSO Cox Regression model was employed. For the validation, we used the publically available TCGA-COAD cohort (n = 122). A prognostic panel of four micorRNAs (hsa-miR-5010-3p, hsa-miR-5100, hsa-miR-656-3p and hsa-miR-671-3p) was identified in the study cohort and validated in the TCGA-COAD cohort. The four-microRNA classifier successfully identified high-risk patients in the study cohort (P < 0.001) and the validation cohort (P = 0.005). Additionally, a number of established risk factors and the four-miRNA classifier were used to construct a nomogram to evaluate risk of recurrence. We identified a four-microRNA classifier in patients with TNM-stage II colon cancer that can be used to discriminate between patients at low- and high risk of recurrence.Havjin JacobLuka StanisavljevicKristian Eeg StorliKjersti E. HestetunOlav DahlMette P. MyklebustNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Havjin Jacob
Luka Stanisavljevic
Kristian Eeg Storli
Kjersti E. Hestetun
Olav Dahl
Mette P. Myklebust
A four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer
description Abstract About 20 percent of TNM-stage II colon cancer patients who are treated by surgical resection develop recurrence, and adjuvant chemotherapy in this group is still debated among researchers and clinicians. Currently, adverse histopathological and clinical factors are used to select patients for adjuvant chemotherapy following surgery. However, additional biomarkers to classify patients at risk of recurrence are needed. We have conducted a study using fresh frozen tumor tissue from 54 TNM-stage II colon cancer patients and performed microRNA profiling using next-generation sequencing. For the selection of the prognostic microRNAs, a LASSO Cox Regression model was employed. For the validation, we used the publically available TCGA-COAD cohort (n = 122). A prognostic panel of four micorRNAs (hsa-miR-5010-3p, hsa-miR-5100, hsa-miR-656-3p and hsa-miR-671-3p) was identified in the study cohort and validated in the TCGA-COAD cohort. The four-microRNA classifier successfully identified high-risk patients in the study cohort (P < 0.001) and the validation cohort (P = 0.005). Additionally, a number of established risk factors and the four-miRNA classifier were used to construct a nomogram to evaluate risk of recurrence. We identified a four-microRNA classifier in patients with TNM-stage II colon cancer that can be used to discriminate between patients at low- and high risk of recurrence.
format article
author Havjin Jacob
Luka Stanisavljevic
Kristian Eeg Storli
Kjersti E. Hestetun
Olav Dahl
Mette P. Myklebust
author_facet Havjin Jacob
Luka Stanisavljevic
Kristian Eeg Storli
Kjersti E. Hestetun
Olav Dahl
Mette P. Myklebust
author_sort Havjin Jacob
title A four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer
title_short A four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer
title_full A four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer
title_fullStr A four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer
title_full_unstemmed A four-microRNA classifier as a novel prognostic marker for tumor recurrence in stage II colon cancer
title_sort four-microrna classifier as a novel prognostic marker for tumor recurrence in stage ii colon cancer
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/9dd3caffa57b43dc8719f849893eb89b
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