Exploration of novel clusters and prognostic value of immune-related signatures and identify HAMP as hub gene in colorectal cancer

被引:3
|
作者
Wu, Hongyuan [1 ,2 ]
Dong, Heling [3 ]
Ren, Shaofang [4 ]
Chen, Jianxin [5 ]
Zhang, Yan [1 ]
Dai, Meng [6 ]
Wu, Yinfen [7 ,9 ]
Zhang, Xuefang [1 ,2 ,8 ]
机构
[1] Southern Med Univ, Dept Radiat Oncol, Affiliated Dongguan Peoples Hosp, Dongguan 523009, Guangdong, Peoples R China
[2] Southern Med Univ, Dongguan Inst Clin Canc Res, Dongguan Key Lab Precis Diag & Treatment Tumors, Affiliated Hosp 10, Dongguan 523009, Guangdong, Peoples R China
[3] Jinan Univ, Sch Sports Educ, Guangzhou 510632, Guangdong, Peoples R China
[4] Southern Med Univ, Sch Basic Med Sci, Dept Dev Biol, State Key Lab Organ Failure Res, Guangzhou 510515, Guangdong, Peoples R China
[5] Southern Med Univ, Dept Gen Surg, Affiliated Dongguan Peoples Hosp, Dongguan 523009, Guangdong, Peoples R China
[6] Southern Med Univ, Nanfang Hosp, Dept Hlth Management, Guangzhou 510515, Guangdong, Peoples R China
[7] Southern Med Univ, Affiliated Dongguan Peoples Hosp, Dept Oncol, Dongguan 523009, Guangdong, Peoples R China
[8] Southern Med Univ, Dept Radiat Oncol, Affiliated Dongguan Peoples Hosp, 3 South Wandao Rd, Dongguan 523009, Guangdong, Peoples R China
[9] Southern Med Univ, Dept Oncol, Affiliated Dongguan Peoples Hosp, 3 South Wandao Rd, Dongguan 523009, Guangdong, Peoples R China
关键词
colorectal cancer; HAMP; prognostic value; immune-related signatures; T-CELL INFILTRATION; RAS MUTATIONS; HEPCIDIN EXPRESSION; 1ST-LINE TREATMENT; IRON-METABOLISM; SURVIVAL; CETUXIMAB; RESISTANCE; FLUOROURACIL; CHEMOTHERAPY;
D O I
10.3892/ol.2023.13946
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Immune checkpoint inhibitors currently serve an important role in prolonging patients' overall survival. However, the prognostic signatures of immune checkpoint inhibitors in colorectal cancer (CRC) remain uncertain and more knowledge on the genetic characteristics of colorectal cancer is needed. Patients with CRC from The Cancer Genome Atlas were classified into high-immunity group and low-immunity group based on median scores from single-sample gene set enrichment analysis using the GSVA package. We explored immune status by immune scores, stromal scores and tumor purity scores in ESTIMATE package and surveyed the difference of immune cells distribution with CIBERSORT package. Eighteen genes were selected using the LASSO Cox regression method and a prognostic risk model was constructed. Compared with patients in the low-risk group, those in the high-risk group had a significantly shorter survival time. For assessment of the prognostic validity of the risk model, receiver operating characteristic curves with areas under the curve of 0.769, 0.774 and 0.771 for 1, 3 and 5 years respectively. Differences in molecular mechanisms between high- and low-risk groups were analyzed using the clusterProfiler package. Tumor Immune Dysfunction and Exclusion data were downloaded and analyzed. The top 5 enriched pathways in the high-risk group involved 'calcium signaling', 'dilated cardiomyopathy', 'extracellular matrix receptor interaction', 'hypertrophic cardiomyopathy' and 'neuroactive ligand receptor interaction'. HAMP was identified as a hub gene, which was highly expressed in tumor samples. The results of the present study indicate that the prognostic model based on both immune-related genes and HAMP has the potential to support personalized treatment.
引用
收藏
页数:15
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