Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer
Abstract Background The search for molecular biomarkers of early-onset colorectal cancer (CRC) is an important but still quite challenging and unsolved task. Detection of CpG methylation in human DNA obtained from blood or stool has been proposed as a promising approach to a noninvasive early diagno...
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2019-04-01
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| Series: | BMC Bioinformatics |
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| Online Access: | http://link.springer.com/article/10.1186/s12859-019-2687-7 |
| _version_ | 1819153265691983872 |
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| author | Alexander Kel Ulyana Boyarskikh Philip Stegmaier Leonid S. Leskov Andrey V. Sokolov Ivan Yevshin Nikita Mandrik Daria Stelmashenko Jeannette Koschmann Olga Kel-Margoulis Mathias Krull Anna Martínez-Cardús Sebastian Moran Manel Esteller Fedor Kolpakov Maxim Filipenko Edgar Wingender |
| author_facet | Alexander Kel Ulyana Boyarskikh Philip Stegmaier Leonid S. Leskov Andrey V. Sokolov Ivan Yevshin Nikita Mandrik Daria Stelmashenko Jeannette Koschmann Olga Kel-Margoulis Mathias Krull Anna Martínez-Cardús Sebastian Moran Manel Esteller Fedor Kolpakov Maxim Filipenko Edgar Wingender |
| author_sort | Alexander Kel |
| collection | DOAJ |
| description | Abstract Background The search for molecular biomarkers of early-onset colorectal cancer (CRC) is an important but still quite challenging and unsolved task. Detection of CpG methylation in human DNA obtained from blood or stool has been proposed as a promising approach to a noninvasive early diagnosis of CRC. Thousands of abnormally methylated CpG positions in CRC genomes are often located in non-coding parts of genes. Novel bioinformatic methods are thus urgently needed for multi-omics data analysis to reveal causative biomarkers with a potential driver role in early stages of cancer. Methods We have developed a method for finding potential causal relationships between epigenetic changes (DNA methylations) in gene regulatory regions that affect transcription factor binding sites (TFBS) and gene expression changes. This method also considers the topology of the involved signal transduction pathways and searches for positive feedback loops that may cause the carcinogenic aberrations in gene expression. We call this method “Walking pathways”, since it searches for potential rewiring mechanisms in cancer pathways due to dynamic changes in the DNA methylation status of important gene regulatory regions (“epigenomic walking”). Results In this paper, we analysed an extensive collection of full genome gene-expression data (RNA-seq) and DNA methylation data of genomic CpG islands (using Illumina methylation arrays) generated from a sample of tumor and normal gut epithelial tissues of 300 patients with colorectal cancer (at different stages of the disease) (data generated in the EU-supported SysCol project). Identification of potential epigenetic biomarkers of DNA methylation was performed using the fully automatic multi-omics analysis web service “My Genome Enhancer” (MGE) (my-genome-enhancer.com). MGE uses the database on gene regulation TRANSFAC®, the signal transduction pathways database TRANSPATH®, and software that employs AI (artificial intelligence) methods for the analysis of cancer-specific enhancers. Conclusions The identified biomarkers underwent experimental testing on an independent set of blood samples from patients with colorectal cancer. As a result, using advanced methods of statistics and machine learning, a minimum set of 6 biomarkers was selected, which together achieve the best cancer detection potential. The markers include hypermethylated positions in regulatory regions of the following genes: CALCA, ENO1, MYC, PDX1, TCF7, ZNF43. |
| first_indexed | 2024-12-22T15:02:27Z |
| format | Article |
| id | doaj.art-11d6eb61a8ec45feae5907e1d26ca226 |
| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-12-22T15:02:27Z |
| publishDate | 2019-04-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-11d6eb61a8ec45feae5907e1d26ca2262022-12-21T18:22:05ZengBMCBMC Bioinformatics1471-21052019-04-0120S412010.1186/s12859-019-2687-7Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancerAlexander Kel0Ulyana Boyarskikh1Philip Stegmaier2Leonid S. Leskov3Andrey V. Sokolov4Ivan Yevshin5Nikita Mandrik6Daria Stelmashenko7Jeannette Koschmann8Olga Kel-Margoulis9Mathias Krull10Anna Martínez-Cardús11Sebastian Moran12Manel Esteller13Fedor Kolpakov14Maxim Filipenko15Edgar Wingender16Institute of Chemical Biology and Fundamental Medicine, SBRANInstitute of Chemical Biology and Fundamental Medicine, SBRANgeneXplain GmbHCity Clinical Hospital №1City Clinical Hospital №1Biosoft.ru, LtdBiosoft.ru, LtdBiosoft.ru, LtdgeneXplain GmbHgeneXplain GmbHgeneXplain GmbHCancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL)Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL)Cancer Epigenetics and Biology Program (PEBC), Bellvitge Biomedical Research Institute (IDIBELL)Biosoft.ru, LtdInstitute of Chemical Biology and Fundamental Medicine, SBRANgeneXplain GmbHAbstract Background The search for molecular biomarkers of early-onset colorectal cancer (CRC) is an important but still quite challenging and unsolved task. Detection of CpG methylation in human DNA obtained from blood or stool has been proposed as a promising approach to a noninvasive early diagnosis of CRC. Thousands of abnormally methylated CpG positions in CRC genomes are often located in non-coding parts of genes. Novel bioinformatic methods are thus urgently needed for multi-omics data analysis to reveal causative biomarkers with a potential driver role in early stages of cancer. Methods We have developed a method for finding potential causal relationships between epigenetic changes (DNA methylations) in gene regulatory regions that affect transcription factor binding sites (TFBS) and gene expression changes. This method also considers the topology of the involved signal transduction pathways and searches for positive feedback loops that may cause the carcinogenic aberrations in gene expression. We call this method “Walking pathways”, since it searches for potential rewiring mechanisms in cancer pathways due to dynamic changes in the DNA methylation status of important gene regulatory regions (“epigenomic walking”). Results In this paper, we analysed an extensive collection of full genome gene-expression data (RNA-seq) and DNA methylation data of genomic CpG islands (using Illumina methylation arrays) generated from a sample of tumor and normal gut epithelial tissues of 300 patients with colorectal cancer (at different stages of the disease) (data generated in the EU-supported SysCol project). Identification of potential epigenetic biomarkers of DNA methylation was performed using the fully automatic multi-omics analysis web service “My Genome Enhancer” (MGE) (my-genome-enhancer.com). MGE uses the database on gene regulation TRANSFAC®, the signal transduction pathways database TRANSPATH®, and software that employs AI (artificial intelligence) methods for the analysis of cancer-specific enhancers. Conclusions The identified biomarkers underwent experimental testing on an independent set of blood samples from patients with colorectal cancer. As a result, using advanced methods of statistics and machine learning, a minimum set of 6 biomarkers was selected, which together achieve the best cancer detection potential. The markers include hypermethylated positions in regulatory regions of the following genes: CALCA, ENO1, MYC, PDX1, TCF7, ZNF43.http://link.springer.com/article/10.1186/s12859-019-2687-7Prognostic biomarkersColorectal cancerMulti-omics analysisDNA methylationCirculating DNATranscription factor binding sites |
| spellingShingle | Alexander Kel Ulyana Boyarskikh Philip Stegmaier Leonid S. Leskov Andrey V. Sokolov Ivan Yevshin Nikita Mandrik Daria Stelmashenko Jeannette Koschmann Olga Kel-Margoulis Mathias Krull Anna Martínez-Cardús Sebastian Moran Manel Esteller Fedor Kolpakov Maxim Filipenko Edgar Wingender Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer BMC Bioinformatics Prognostic biomarkers Colorectal cancer Multi-omics analysis DNA methylation Circulating DNA Transcription factor binding sites |
| title | Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer |
| title_full | Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer |
| title_fullStr | Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer |
| title_full_unstemmed | Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer |
| title_short | Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer |
| title_sort | walking pathways with positive feedback loops reveal dna methylation biomarkers of colorectal cancer |
| topic | Prognostic biomarkers Colorectal cancer Multi-omics analysis DNA methylation Circulating DNA Transcription factor binding sites |
| url | http://link.springer.com/article/10.1186/s12859-019-2687-7 |
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