A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma
Objective. To explore the cancer stemness features and develop a novel cancer stemness-related prognostic signature for colon adenocarcinoma (COAD). Methods. We downloaded the mRNA expression data and clinical data of COAD from TCGA database and GEO database. Stemness index, mRNAsi, was utilized to...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | Stem Cells International |
| Online Access: | http://dx.doi.org/10.1155/2021/7036059 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556452963680256 |
|---|---|
| author | Wei Wang Congrong Xu Yan Ren Shiwei Wang Chunli Liao Xiaoyan Fu Haixia Hu |
| author_facet | Wei Wang Congrong Xu Yan Ren Shiwei Wang Chunli Liao Xiaoyan Fu Haixia Hu |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | Objective. To explore the cancer stemness features and develop a novel cancer stemness-related prognostic signature for colon adenocarcinoma (COAD). Methods. We downloaded the mRNA expression data and clinical data of COAD from TCGA database and GEO database. Stemness index, mRNAsi, was utilized to investigate cancer stemness features. Weighted gene coexpression network analysis (WGCNA) was used to identify cancer stemness-related genes. Univariate and multivariate Cox regression analyses were applied to construct a prognostic risk cancer stemness-related signature. We then performed internal and external validation. The relationship between cancer stemness and COAD immune microenvironment was investigated. Results. COAD patients with higher mRNAsi score or EREG-mRNAsi score have significant longer overall survival (OS). We identified 483 differently expressed genes (DEGs) between the high and low mRNAsi score groups. We developed a cancer stemness-related signature using fifteen genes (including RAB31, COL6A3, COL5A2, CCDC80, ADAM12, VGLL3, ECM2, POSTN, DPYSL3, PCDH7, CRISPLD2, COLEC12, NRP2, ISLR, and CCDC8) for prognosis prediction of COAD. Low-risk score was associated with significantly preferable OS in comparison with high-risk score, and the area under the ROC curve (AUC) for OS prediction was 0.705. The prognostic signature was an independent predictor for OS of COAD. Macrophages, mast cells, and T helper cells were the vital infiltration immune cells, and APC costimulation and type II IFN response were the vital immune pathways in COAD. Conclusions. We developed and validated a novel cancer stemness-related prognostic signature for COAD, which would contribute to understanding of molecular mechanism in COAD. |
| format | Article |
| id | doaj-art-16896c4ce2614588a817670ec727a815 |
| institution | Kabale University |
| issn | 1687-966X 1687-9678 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Stem Cells International |
| spelling | doaj-art-16896c4ce2614588a817670ec727a8152025-02-03T05:45:19ZengWileyStem Cells International1687-966X1687-96782021-01-01202110.1155/2021/70360597036059A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon AdenocarcinomaWei Wang0Congrong Xu1Yan Ren2Shiwei Wang3Chunli Liao4Xiaoyan Fu5Haixia Hu6Department of Gastroenterology, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian 350003, ChinaDepartment of Laboratory, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian 350003, ChinaDepartment of Gastroenterology, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian 350003, ChinaDepartment of Intense Care Unit, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian 350003, ChinaDepartment of Gastroenterology, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian 350003, ChinaDepartment of Gastroenterology, The Second Affiliated Hospital of Fujian Traditional Chinese Medical University, Fuzhou, Fujian 350003, ChinaAcademy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, ChinaObjective. To explore the cancer stemness features and develop a novel cancer stemness-related prognostic signature for colon adenocarcinoma (COAD). Methods. We downloaded the mRNA expression data and clinical data of COAD from TCGA database and GEO database. Stemness index, mRNAsi, was utilized to investigate cancer stemness features. Weighted gene coexpression network analysis (WGCNA) was used to identify cancer stemness-related genes. Univariate and multivariate Cox regression analyses were applied to construct a prognostic risk cancer stemness-related signature. We then performed internal and external validation. The relationship between cancer stemness and COAD immune microenvironment was investigated. Results. COAD patients with higher mRNAsi score or EREG-mRNAsi score have significant longer overall survival (OS). We identified 483 differently expressed genes (DEGs) between the high and low mRNAsi score groups. We developed a cancer stemness-related signature using fifteen genes (including RAB31, COL6A3, COL5A2, CCDC80, ADAM12, VGLL3, ECM2, POSTN, DPYSL3, PCDH7, CRISPLD2, COLEC12, NRP2, ISLR, and CCDC8) for prognosis prediction of COAD. Low-risk score was associated with significantly preferable OS in comparison with high-risk score, and the area under the ROC curve (AUC) for OS prediction was 0.705. The prognostic signature was an independent predictor for OS of COAD. Macrophages, mast cells, and T helper cells were the vital infiltration immune cells, and APC costimulation and type II IFN response were the vital immune pathways in COAD. Conclusions. We developed and validated a novel cancer stemness-related prognostic signature for COAD, which would contribute to understanding of molecular mechanism in COAD.http://dx.doi.org/10.1155/2021/7036059 |
| spellingShingle | Wei Wang Congrong Xu Yan Ren Shiwei Wang Chunli Liao Xiaoyan Fu Haixia Hu A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma Stem Cells International |
| title | A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma |
| title_full | A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma |
| title_fullStr | A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma |
| title_full_unstemmed | A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma |
| title_short | A Novel Cancer Stemness-Related Signature for Predicting Prognosis in Patients with Colon Adenocarcinoma |
| title_sort | novel cancer stemness related signature for predicting prognosis in patients with colon adenocarcinoma |
| url | http://dx.doi.org/10.1155/2021/7036059 |
| work_keys_str_mv | AT weiwang anovelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT congrongxu anovelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT yanren anovelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT shiweiwang anovelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT chunliliao anovelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT xiaoyanfu anovelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT haixiahu anovelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT weiwang novelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT congrongxu novelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT yanren novelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT shiweiwang novelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT chunliliao novelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT xiaoyanfu novelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma AT haixiahu novelcancerstemnessrelatedsignatureforpredictingprognosisinpatientswithcolonadenocarcinoma |