The Expression Pattern of Hypoxia-Related Genes Predicts the Prognosis and Mediates Drug Resistance in Colorectal Cancer
Background: Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy outcomes differ among patients. There is a need to identify predictive biomarkers to efficiently facilitate CRC treatment and prognosis....
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| Published in | Frontiers in cell and developmental biology Vol. 10; p. 814621 |
|---|---|
| Main Authors | , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Media S.A
27.01.2022
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| Subjects | |
| Online Access | Get full text |
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| Abstract | Background:
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy outcomes differ among patients. There is a need to identify predictive biomarkers to efficiently facilitate CRC treatment and prognosis.
Methods:
The expression profiles from Gene Expression Omnibus (GEO) database were used to identify cancer hallmarks associated with CRC outcomes. An accurate gene signature based on the prognosis related cancer hallmarks was further constructed.
Results:
Hypoxia was identified to be the primary factor that could influence CRC outcomes. Sixteen hypoxia-related genes were selected to construct a risk gene signature (HGS) associated with individuals’ prognosis, which was validated in three independent cohorts. Further, stromal and immune cells in tumor microenvironment (TME) were found to be associated with hypoxia. Finally, among the 16 hypoxia-related genes, six genes (
DCBLD2
,
PLEC
,
S100A11
,
PLAT
,
PPAP2B
and
LAMC2
) were identified as the most attributable ones to drug resistance.
Conclusion:
HGS can accurately predict CRC prognosis. The expression of the drug resistance-related genes is critical in CRC treatment decision-making. |
|---|---|
| AbstractList | Background:
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy outcomes differ among patients. There is a need to identify predictive biomarkers to efficiently facilitate CRC treatment and prognosis.
Methods:
The expression profiles from Gene Expression Omnibus (GEO) database were used to identify cancer hallmarks associated with CRC outcomes. An accurate gene signature based on the prognosis related cancer hallmarks was further constructed.
Results:
Hypoxia was identified to be the primary factor that could influence CRC outcomes. Sixteen hypoxia-related genes were selected to construct a risk gene signature (HGS) associated with individuals’ prognosis, which was validated in three independent cohorts. Further, stromal and immune cells in tumor microenvironment (TME) were found to be associated with hypoxia. Finally, among the 16 hypoxia-related genes, six genes (
DCBLD2
,
PLEC
,
S100A11
,
PLAT
,
PPAP2B
and
LAMC2
) were identified as the most attributable ones to drug resistance.
Conclusion:
HGS can accurately predict CRC prognosis. The expression of the drug resistance-related genes is critical in CRC treatment decision-making. Background: Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy outcomes differ among patients. There is a need to identify predictive biomarkers to efficiently facilitate CRC treatment and prognosis. Methods: The expression profiles from Gene Expression Omnibus (GEO) database were used to identify cancer hallmarks associated with CRC outcomes. An accurate gene signature based on the prognosis related cancer hallmarks was further constructed. Results: Hypoxia was identified to be the primary factor that could influence CRC outcomes. Sixteen hypoxia-related genes were selected to construct a risk gene signature (HGS) associated with individuals' prognosis, which was validated in three independent cohorts. Further, stromal and immune cells in tumor microenvironment (TME) were found to be associated with hypoxia. Finally, among the 16 hypoxia-related genes, six genes (DCBLD2, PLEC, S100A11, PLAT, PPAP2B and LAMC2) were identified as the most attributable ones to drug resistance. Conclusion: HGS can accurately predict CRC prognosis. The expression of the drug resistance-related genes is critical in CRC treatment decision-making.Background: Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy outcomes differ among patients. There is a need to identify predictive biomarkers to efficiently facilitate CRC treatment and prognosis. Methods: The expression profiles from Gene Expression Omnibus (GEO) database were used to identify cancer hallmarks associated with CRC outcomes. An accurate gene signature based on the prognosis related cancer hallmarks was further constructed. Results: Hypoxia was identified to be the primary factor that could influence CRC outcomes. Sixteen hypoxia-related genes were selected to construct a risk gene signature (HGS) associated with individuals' prognosis, which was validated in three independent cohorts. Further, stromal and immune cells in tumor microenvironment (TME) were found to be associated with hypoxia. Finally, among the 16 hypoxia-related genes, six genes (DCBLD2, PLEC, S100A11, PLAT, PPAP2B and LAMC2) were identified as the most attributable ones to drug resistance. Conclusion: HGS can accurately predict CRC prognosis. The expression of the drug resistance-related genes is critical in CRC treatment decision-making. Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy outcomes differ among patients. There is a need to identify predictive biomarkers to efficiently facilitate CRC treatment and prognosis. The expression profiles from Gene Expression Omnibus (GEO) database were used to identify cancer hallmarks associated with CRC outcomes. An accurate gene signature based on the prognosis related cancer hallmarks was further constructed. Hypoxia was identified to be the primary factor that could influence CRC outcomes. Sixteen hypoxia-related genes were selected to construct a risk gene signature (HGS) associated with individuals' prognosis, which was validated in three independent cohorts. Further, stromal and immune cells in tumor microenvironment (TME) were found to be associated with hypoxia. Finally, among the 16 hypoxia-related genes, six genes ( , , , , and ) were identified as the most attributable ones to drug resistance. HGS can accurately predict CRC prognosis. The expression of the drug resistance-related genes is critical in CRC treatment decision-making. Background: Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy outcomes differ among patients. There is a need to identify predictive biomarkers to efficiently facilitate CRC treatment and prognosis.Methods: The expression profiles from Gene Expression Omnibus (GEO) database were used to identify cancer hallmarks associated with CRC outcomes. An accurate gene signature based on the prognosis related cancer hallmarks was further constructed.Results: Hypoxia was identified to be the primary factor that could influence CRC outcomes. Sixteen hypoxia-related genes were selected to construct a risk gene signature (HGS) associated with individuals’ prognosis, which was validated in three independent cohorts. Further, stromal and immune cells in tumor microenvironment (TME) were found to be associated with hypoxia. Finally, among the 16 hypoxia-related genes, six genes (DCBLD2, PLEC, S100A11, PLAT, PPAP2B and LAMC2) were identified as the most attributable ones to drug resistance.Conclusion: HGS can accurately predict CRC prognosis. The expression of the drug resistance-related genes is critical in CRC treatment decision-making. |
| Author | Yuan, Ye Wang, Liping Wang, Zheng Tan, Lulu Wang, Lin Wang, Guobin Liu, Jia Zou, Danyi Fu, Daan Lu, Xiaohuan |
| AuthorAffiliation | 3 Department of Clinical Laboratory , Union Hospital , Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China 1 Research Center for Tissue Engineering and Regenerative Medicine , Union Hospital , Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China 2 Department of Gastrointestinal Surgery , Union Hospital , Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China |
| AuthorAffiliation_xml | – name: 1 Research Center for Tissue Engineering and Regenerative Medicine , Union Hospital , Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China – name: 3 Department of Clinical Laboratory , Union Hospital , Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China – name: 2 Department of Gastrointestinal Surgery , Union Hospital , Tongji Medical College , Huazhong University of Science and Technology , Wuhan , China |
| Author_xml | – sequence: 1 givenname: Ye surname: Yuan fullname: Yuan, Ye – sequence: 2 givenname: Lulu surname: Tan fullname: Tan, Lulu – sequence: 3 givenname: Liping surname: Wang fullname: Wang, Liping – sequence: 4 givenname: Danyi surname: Zou fullname: Zou, Danyi – sequence: 5 givenname: Jia surname: Liu fullname: Liu, Jia – sequence: 6 givenname: Xiaohuan surname: Lu fullname: Lu, Xiaohuan – sequence: 7 givenname: Daan surname: Fu fullname: Fu, Daan – sequence: 8 givenname: Guobin surname: Wang fullname: Wang, Guobin – sequence: 9 givenname: Lin surname: Wang fullname: Wang, Lin – sequence: 10 givenname: Zheng surname: Wang fullname: Wang, Zheng |
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| CitedBy_id | crossref_primary_10_1016_j_heliyon_2024_e33616 crossref_primary_10_1172_JCI182217 crossref_primary_10_1016_j_jare_2024_09_006 crossref_primary_10_1186_s11671_023_03870_0 crossref_primary_10_1007_s11010_023_04773_5 crossref_primary_10_3390_ijms24021516 |
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| ContentType | Journal Article |
| Copyright | Copyright © 2022 Yuan, Tan, Wang, Zou, Liu, Lu, Fu, Wang, Wang and Wang. Copyright © 2022 Yuan, Tan, Wang, Zou, Liu, Lu, Fu, Wang, Wang and Wang. 2022 Yuan, Tan, Wang, Zou, Liu, Lu, Fu, Wang, Wang and Wang |
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| Keywords | hypoxia colorectal cancer drug resistance tumor microenvironment gene signature prognosis |
| Language | English |
| License | Copyright © 2022 Yuan, Tan, Wang, Zou, Liu, Lu, Fu, Wang, Wang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Varun Sasidharan Nair, Helmholtz Association of German Research Centers (HZ), Germany Reviewed by: Jiaming Liang, The Second Affiliated Hospital of Guangzhou Medical University, China Reem Saleh, Peter MacCallum Cancer Centre, Australia These authors have contributed equally to this work This article was submitted to Molecular and Cellular Oncology, a section of the journal Frontiers in Cell and Developmental Biology |
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Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical... Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical therapy... Background: Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. However, due to the heterogeneity of CRC, the clinical... |
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| Title | The Expression Pattern of Hypoxia-Related Genes Predicts the Prognosis and Mediates Drug Resistance in Colorectal Cancer |
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