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Identification and analysis of prognostic metabolic characteristics in colon adenocarcinoma
Yang, Yang1,2; Yang, Xinyu1,3; Ren, Shiqi4; Cao, Yang5; Wang, Ziheng6,7; Cheng, Zhouyang8
2024-03-30
Source PublicationHeliyon
ISSN2405-8440
Volume10Issue:6Pages:e27388
Abstract

Colon adenocarcinoma (COAD) is a highly lethal gastrointestinal malignancy. The five-year survival rate of metastatic colorectal cancer remains low, at 14 percent. Numerous publications have suggested a role for peroxisome proliferator-activated receptors (PPARs) in malignancy. Recent studies have shown that PPARs, as nuclear transcription factors, may serve as potential targets for the treatment of metabolic syndrome tumors and their associated complications. However, the molecular mechanism has not been thoroughly investigated. Hence, in order to enhance the prediction of personalized medicine for PPAR-associated modulators in malignancy treatment, a timely review becomes essential. Utilizing TCGA-COAD expression profile data and patient overall survival (OS) information, this study systematically conducted investigations to identify and develop Hub stem cell-related diagnostic and prognostic identification models, aiming to enhance the multi-gene markers for COAD. Utilizing the differential expression profiles of stem cell-related genes, an 11-gene (SLC27A4, CPT1C, CPT1B, CPT2, CYP4A11, FABP3, FABP7, AQP7, MMP1, ACOX1, ANGPTL4) diagnostic and prognostic model was developed. This model demonstrated precise diagnostic and prognostic capabilities and holds the potential to characterize the clinicopathologic features of COAD. Univariate and multivariate Cox proportional hazards regression analyses were conducted to ascertain the independent factors influencing OS outcomes in COAD. The results revealed that CPT1B, SLC27A4, and FABP3 were identified as independent risk prognostic factors for OS in COAD, whereas ACOX1 and CPT2 served as independent protective prognostic factors. The hub genes associated with PPARs were identified through the differential expression of contrast agent COAD and normal tissues. Finally, the investigation of variations in immune infiltration and the analysis of relevant biological pathways validate the prognostic significance of the independent post-factors within this molecular model. This research aims to provide references for comprehending the mechanism of post-transcriptional regulation of COAD and molecular therapy.

KeywordColon Oncology Proliferator-activated Receptors Biomarker
DOI10.1016/j.heliyon.2024.e27388
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:001204424600001
PublisherCELL PRESS, 50 HAMPSHIRE ST, FLOOR 5, CAMBRIDGE, MA 02139
Scopus ID2-s2.0-85187401890
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Health Sciences
Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau
Corresponding AuthorWang, Ziheng; Cheng, Zhouyang
Affiliation1.Department of Trauma Center, Affiliated Hospital of Nantong University, Medicial School of Nantong University, Nantong City, No.20 Xisi Road, Chongchuan District, 226001, China
2.Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong City, No.20 Xisi Road, Chongchuan District, 226001, China
3.Medical School of Nantong University, Nantong City, Qixiu Road, 226001, China
4.Department of Hand Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China
5.Department of Operation Room, Affiliated Hospital of Nantong University, Nantong City, No.20 Xisi Road, Chongchuan District, 226001, China
6.MOE Frontier Science Centre for Precision Oncology, University of Macau, Macau SAR, China
7.Department of Clinical-Biobank, Affiliated Hospital of Nantong University, Nantong City, No.20 Xisi Road, Chongchuan District, 226001, China
8.Department of General Surgery, Affiliated Hospital of Nantong University, Nantong City, No.20 Xisi Road, Chongchuan District, 226001, China
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yang, Yang,Yang, Xinyu,Ren, Shiqi,et al. Identification and analysis of prognostic metabolic characteristics in colon adenocarcinoma[J]. Heliyon, 2024, 10(6), e27388.
APA Yang, Yang., Yang, Xinyu., Ren, Shiqi., Cao, Yang., Wang, Ziheng., & Cheng, Zhouyang (2024). Identification and analysis of prognostic metabolic characteristics in colon adenocarcinoma. Heliyon, 10(6), e27388.
MLA Yang, Yang,et al."Identification and analysis of prognostic metabolic characteristics in colon adenocarcinoma".Heliyon 10.6(2024):e27388.
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