Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients
Background. Hepatocellular carcinoma (HCC) is a highly malignant disease, and it is characterized by rapid progression and low five-year survival rate. At present, there are no effective methods for monitoring the treatment and prognosis of HCC. Methods. The transcriptome and gene expression profile...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Journal of Oncology |
Online Access: | http://dx.doi.org/10.1155/2021/5574150 |
id |
doaj-6e6a951b0d1648a7871caf2d696cfe1c |
---|---|
record_format |
Article |
spelling |
doaj-6e6a951b0d1648a7871caf2d696cfe1c2021-07-12T02:12:24ZengHindawi LimitedJournal of Oncology1687-84692021-01-01202110.1155/2021/5574150Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC PatientsJun Liu0Shan-Qiang Zhang1Jing Chen2Zhi-Bin Li3Jia-Xi Chen4Qi-Qi Lu5Yu-Shuai Han6Wenjie Dai7Chongwei Xie8Ji-Cheng Li9Medical Research CenterMedical Research CenterInstitute of Cell BiologyInstitute of Cell BiologyInstitute of Cell BiologyMedical Research CenterInstitute of Cell BiologyMedical Research CenterMedical Research CenterMedical Research CenterBackground. Hepatocellular carcinoma (HCC) is a highly malignant disease, and it is characterized by rapid progression and low five-year survival rate. At present, there are no effective methods for monitoring the treatment and prognosis of HCC. Methods. The transcriptome and gene expression profiles of HCC were obtained from the Cancer Genome Atlas (TCGA) program, International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases. The random forest method was applied to construct a four-gene prognostic model based on RNA terminal phosphate cyclase like 1 (RCL1) expression. The Kaplan-Meier method was performed to evaluate the prognostic value of RCL1, long noncoding RNAs (AC079061, AL354872, and LINC01093), and four-gene signature (SPP1, MYBL2, TRNP1, and FTCD). We examined the relationship between RCL1 expression and immune cells infiltration, tumor mutation burden (TMB), and microsatellite instability (MSI). Results. The results of multiple databases indicated that the aberrant expression of RCL1 was associated with clinical outcome, immune cells infiltration, TMB, and MSI in HCC patients. Meanwhile, we found that long noncoding RNAs (AC079061, AL354872, and LINC01093) and RCL1 were significantly coexpressed in HCC patients. We also confirmed that the four-gene signature was an independent prognostic factor for HCC patients. Ferroptosis potential index, immune checkpoint molecules, and clinical feature were found to have obvious correlations with risk score. The area under the receiver operating characteristic curve values for the model were 0.7–0.8 in the training set and the validation set, suggesting high robustness of the four-gene signature. We then built a nomogram for facilitating the use in clinical practice. Conclusion. Our study demonstrated that RCL1 and a novel four-gene signature can be used as prognostic biomarkers for predicting clinical outcome in HCC patients; and this model may assist in individualized treatment monitoring of HCC patients in clinical practice.http://dx.doi.org/10.1155/2021/5574150 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jun Liu Shan-Qiang Zhang Jing Chen Zhi-Bin Li Jia-Xi Chen Qi-Qi Lu Yu-Shuai Han Wenjie Dai Chongwei Xie Ji-Cheng Li |
spellingShingle |
Jun Liu Shan-Qiang Zhang Jing Chen Zhi-Bin Li Jia-Xi Chen Qi-Qi Lu Yu-Shuai Han Wenjie Dai Chongwei Xie Ji-Cheng Li Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients Journal of Oncology |
author_facet |
Jun Liu Shan-Qiang Zhang Jing Chen Zhi-Bin Li Jia-Xi Chen Qi-Qi Lu Yu-Shuai Han Wenjie Dai Chongwei Xie Ji-Cheng Li |
author_sort |
Jun Liu |
title |
Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients |
title_short |
Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients |
title_full |
Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients |
title_fullStr |
Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients |
title_full_unstemmed |
Identifying Prognostic Significance of RCL1 and Four-Gene Signature as Novel Potential Biomarkers in HCC Patients |
title_sort |
identifying prognostic significance of rcl1 and four-gene signature as novel potential biomarkers in hcc patients |
publisher |
Hindawi Limited |
series |
Journal of Oncology |
issn |
1687-8469 |
publishDate |
2021-01-01 |
description |
Background. Hepatocellular carcinoma (HCC) is a highly malignant disease, and it is characterized by rapid progression and low five-year survival rate. At present, there are no effective methods for monitoring the treatment and prognosis of HCC. Methods. The transcriptome and gene expression profiles of HCC were obtained from the Cancer Genome Atlas (TCGA) program, International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases. The random forest method was applied to construct a four-gene prognostic model based on RNA terminal phosphate cyclase like 1 (RCL1) expression. The Kaplan-Meier method was performed to evaluate the prognostic value of RCL1, long noncoding RNAs (AC079061, AL354872, and LINC01093), and four-gene signature (SPP1, MYBL2, TRNP1, and FTCD). We examined the relationship between RCL1 expression and immune cells infiltration, tumor mutation burden (TMB), and microsatellite instability (MSI). Results. The results of multiple databases indicated that the aberrant expression of RCL1 was associated with clinical outcome, immune cells infiltration, TMB, and MSI in HCC patients. Meanwhile, we found that long noncoding RNAs (AC079061, AL354872, and LINC01093) and RCL1 were significantly coexpressed in HCC patients. We also confirmed that the four-gene signature was an independent prognostic factor for HCC patients. Ferroptosis potential index, immune checkpoint molecules, and clinical feature were found to have obvious correlations with risk score. The area under the receiver operating characteristic curve values for the model were 0.7–0.8 in the training set and the validation set, suggesting high robustness of the four-gene signature. We then built a nomogram for facilitating the use in clinical practice. Conclusion. Our study demonstrated that RCL1 and a novel four-gene signature can be used as prognostic biomarkers for predicting clinical outcome in HCC patients; and this model may assist in individualized treatment monitoring of HCC patients in clinical practice. |
url |
http://dx.doi.org/10.1155/2021/5574150 |
work_keys_str_mv |
AT junliu identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT shanqiangzhang identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT jingchen identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT zhibinli identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT jiaxichen identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT qiqilu identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT yushuaihan identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT wenjiedai identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT chongweixie identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients AT jichengli identifyingprognosticsignificanceofrcl1andfourgenesignatureasnovelpotentialbiomarkersinhccpatients |
_version_ |
1721308121589088256 |