scholarly journals Identification of a prognostic signature of nine metabolism-related genes for hepatocellular carcinoma

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e9774
Author(s):  
Chaozhi Tang ◽  
Jiakang Ma ◽  
Xiuli Liu ◽  
Zhengchun Liu
Keyword(s):  
Hepatocellular Carcinoma ◽  
Risk Group ◽  
Progression Free Survival ◽  
High Risk Group ◽  
Cancer Genome ◽  
Low Risk ◽  
The Cancer Genome Atlas ◽  
Diagnostic Efficiency ◽  
Prognostic Signature ◽  
Free Survival

Background Hepatocellular carcinoma (HCC) is the fifth most common cancer. Since changes in liver metabolism contribute to liver disease development, it is necessary to build a metabolism-related prognostic model for HCC. Methods We constructed a metabolism-related-gene (MRG) signature comprising nine genes, which segregated HCC patients into high- and low-risk groups. Results The survival rate (overall survival: OS; relapse-free survival; and progression-free survival) of patients in the low-risk group of The Cancer Genome Atlas (TCGA) cohort was significantly higher than that of patients in the high-risk group. The OS prognostic signature was validated in the International Cancer Genome Consortium independent cohort. The corresponding receiver operating characteristic curves of the model indicated that the signature had good diagnostic efficiency, in terms of improving OS over 1, 3, and 5 years. Hierarchical analysis demonstrated that the MRG signature was significantly associated with better prognosis in male patients, patients aged ≤ 65 years, and patients carrying the wild-type TP53 or CTNNB1 genes. A nomogram was established, and good performance and clinical practicability were confirmed. Additionally, using the GSE109211 dataset from the Gene Expression Omnibus database, we were able to verify that the nine genes in this MRG signature had different responses to sorafenib, suggesting that some of these MRGs may act as therapeutic targets for HCC. Conclusions We believe that these findings will add value in terms of the diagnosis, treatment, and prognosis of HCC.

scholarly journals A novel signature of two long non-coding RNAs in BRCA mutant ovarian cancer to predict prognosis and efficiency of chemotherapy

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Yinglian Pan ◽  
Li Ping Jia ◽  
Yuzhu Liu ◽  
Yiyu Han ◽  
Qian Li ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
High Risk ◽  
Cox Regression ◽  
Risk Group ◽  
Gynecologic Cancer ◽  
High Risk Group ◽  
Low Risk ◽  
The Cancer Genome Atlas ◽  
Chemotherapy Treatment ◽  
Prognostic Signature

Abstract Background In this study we aimed to identify a prognostic signature in BRCA1/2 mutations to predict disease progression and the efficiency of chemotherapy ovarian cancer (OV), the second most common cause of death from gynecologic cancer in women worldwide. Methods Univariate Cox proportional-hazards and multivariate Cox regression analyses were used to identifying prognostic factors from data obtained from The Cancer Genome Atlas (TCGA) database. The area under the curve of the receiver operating characteristic curve was assessed, and the sensitivity and specificity of the prediction model were determined. Results A signature consisting of two long noncoding RNAs(lncRNAs), Z98885.2 and AC011601.1, was selected as the basis for classifying patients into high and low-risk groups (median survival: 7.2 years vs. 2.3 years). The three-year overall survival (OS) rates for the high- and low-risk group were approximately 38 and 100%, respectively. Chemotherapy treatment survival rates indicated that the high-risk group had significantly lower OS rates with adjuvant chemotherapy than the low-risk group. The one-, three-, and five-year OS were 100, 40, and 15% respectively in the high-risk group. The survival rate of the high-risk group declined rapidly after 2 years of OV chemotherapy treatment. Multivariate Cox regression associated with other traditional clinical factors showed that the 2-lncRNA model could be used as an independent OV prognostic factor. Analyses of data from the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) indicated that these signatures are pivotal to cancer development. Conclusion In conclusion, Z98885.2 and AC011601.1 comprise a novel prognostic signature for OV patients with BRCA1/2 mutations, and can be used to predict prognosis and the efficiency of chemotherapy.

scholarly journals Novel Hypoxia-Related Gene Signature for Risk Stratification and Prognosis in Hepatocellular Carcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Quanxiao Li ◽  
Limin Jin ◽  
Meng Jin
Keyword(s):  
Hepatocellular Carcinoma ◽  
Risk Stratification ◽  
Risk Group ◽  
External Validation ◽  
Gene Signature ◽  
Cancer Genome ◽  
Low Risk ◽  
The Cancer Genome Atlas ◽  
Individual Risk ◽  
Tumor Node Metastasis Stage

Hepatocellular carcinoma (HCC) is the most common form of liver cancer with limited therapeutic options and low survival rate. The hypoxic microenvironment plays a vital role in progression, metabolism, and prognosis of malignancies. Therefore, this study aims to develop and validate a hypoxia gene signature for risk stratification and prognosis prediction of HCC patients. The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases were used as a training cohort, and one Gene Expression Omnibus database (GSE14520) was served as an external validation cohort. Our results showed that eight hypoxia-related genes (HRGs) were identified by the least absolute shrinkage and selection operator analysis to develop the hypoxia gene signature and demarcated HCC patients into the high- and low-risk groups. In TCGA, ICGC, and GSE14520 datasets, patients in the high-risk group had worse overall survival outcomes than those in the low-risk group (all log-rank P < 0.001). Besides, the risk score derived from the hypoxia gene signature could serve as an independent prognostic factor for HCC patients in the three independent datasets. Finally, a nomogram including the gene signature and tumor-node-metastasis stage was constructed to serve clinical practice. In the present study, a novel hypoxia signature risk model could reflect individual risk classification and provide therapeutic targets for patients with HCC. The prognostic nomogram may help predict individualized survival.

scholarly journals Identification of a Five-Autophagy-Related-lncRNA Signature as a Novel Prognostic Biomarker for Hepatocellular Carcinoma

2021 ◽  
Vol 7 ◽  
Author(s):  
Xiaoyu Deng ◽  
Qinghua Bi ◽  
Shihan Chen ◽  
Xianhua Chen ◽  
Shuhui Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Cox Regression ◽  
Risk Group ◽  
High Risk Group ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Prognostic Signature ◽  
Prediction Ability ◽  
Cox Regression Analysis

Although great progresses have been made in the diagnosis and treatment of hepatocellular carcinoma (HCC), its prognostic marker remains controversial. In this current study, weighted correlation network analysis and Cox regression analysis showed significant prognostic value of five autophagy-related long non-coding RNAs (AR-lncRNAs) (including TMCC1-AS1, PLBD1-AS1, MKLN1-AS, LINC01063, and CYTOR) for HCC patients from data in The Cancer Genome Atlas. By using them, we constructed a five-AR-lncRNA prognostic signature, which accurately distinguished the high- and low-risk groups of HCC patients. All of the five AR lncRNAs were highly expressed in the high-risk group of HCC patients. This five-AR-lncRNA prognostic signature showed good area under the curve (AUC) value (AUC = 0.751) for the overall survival (OS) prediction in either all HCC patients or HCC patients stratified according to several clinical traits. A prognostic nomogram with this five-AR-lncRNA signature predicted the 3- and 5-year OS outcomes of HCC patients intuitively and accurately (concordance index = 0.745). By parallel comparison, this five-AR-lncRNA signature has better prognosis accuracy than the other three recently published signatures. Furthermore, we discovered the prediction ability of the signature on therapeutic outcomes of HCC patients, including chemotherapy and immunotherapeutic responses. Gene set enrichment analysis and gene mutation analysis revealed that dysregulated cell cycle pathway, purine metabolism, and TP53 mutation may play an important role in determining the OS outcomes of HCC patients in the high-risk group. Collectively, our study suggests a new five-AR-lncRNA prognostic signature for HCC patients.

scholarly journals Neoadjuvant or Adjuvant Chemotherapy Plus Concurrent CRT Versus Concurrent CRT Alone in the Treatment of Nasopharyngeal Carcinoma: A Study Based on EBV DNA

2019 ◽  
Vol 17 (6) ◽  
pp. 703-710 ◽  
Author(s):  
Li-Ting Liu ◽  
Qiu-Yan Chen ◽  
Lin-Quan Tang ◽  
Shan-Shan Guo ◽  
Ling Guo ◽  
...  
Keyword(s):  
Adjuvant Chemotherapy ◽  
Nasopharyngeal Carcinoma ◽  
Treatment Failure ◽  
Risk Group ◽  
Progression Free Survival ◽  
High Risk Group ◽  
Low Risk ◽  
Rank Test ◽  
Free Survival ◽  
Ebv Dna

Background: The goal of this study was to explore the value of adding neoadjuvant chemotherapy (NACT) or adjuvant chemotherapy (ACT) to concurrent chemoradiotherapy (CCRT) in patients with nasopharyngeal carcinoma (NPC) with different risks of treatment failure. Patients and Methods: A total of 2,263 eligible patients with stage III–IVb NPC treated with CCRT ± NACT or ACT were included in this retrospective study. Distant metastasis–free survival (DMFS), overall survival, and progression-free survival were calculated using the Kaplan-Meier method and differences were compared using the log-rank test. Results: Patients in the low-risk group (stage N0–1 disease and Epstein-Barr virus [EBV] DNA <4,000 copies/mL) who received NACT followed by CCRT achieved significantly better 5-year DMFS than those treated with CCRT alone (96.2% vs 91.3%; P= .008). Multivariate analyses also demonstrated that additional NACT was the only independent prognostic factor for DMFS (hazard ratio, 0.42; 95% CI, 0.22–0.80; P=.009). In both the intermediate-risk group (stage N0–1 disease and EBV DNA ≥4,000 copies/mL and stage N2–3 disease and EBV DNA <4,000 copies/mL) and the high-risk group (stage N2–3 disease and EBV DNA ≥4,000 copies/mL), comparison of NACT or ACT + CCRT versus CCRT alone indicated no significantly better survival for all end points. Conclusions: The addition of NACT to CCRT could reduce distant failure in patients with low risk of treatment failure.

The FLIPI2 SCORE Predicts PROGRESSION-FREE SURVIVAL (PFS) and OVERALL SURVIVAL (OS) IN AN INDEPENDENT SERIES of Follicular LYMPHOMA: A Single Institution EXPERIENCE

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 3128-3128 ◽  
Author(s):  
María José Terol ◽  
Ana Isabel Teruel ◽  
Paula Amat ◽  
Danella Elaluf ◽  
Mar Tormo ◽  
...  
Keyword(s):  
High Risk ◽  
Follicular Lymphoma ◽  
Risk Group ◽  
Progression Free Survival ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Free Survival ◽  
Intermediate Group ◽  
Independent Series

Abstract Abstract 3128 Background: follicular lymphoma is an incurable, long-lasting disease with an heterogeneous outcome. Several prognostic systems have been proposed, and recently a new one, the FLIPI2 score based on five parameters has been published. However, in order to confirm its prognostic utility, further studies at other centers are highly recommendable. Aim: to validate the new FLIPI2 score in independent series of follicular lymphoma patients diagnosed at our institution between February 1990 and July 2010. Patients and methods. We considered 180 patients consecutively diagnosed with follicular diagnosis in the period described and from whom all variables required were available. The variables included were: beta2microglobulin higher than the upper normal value, longest diameter of the largest involved node longer than 6 cm, bone marrow infiltration, hemoglobin level lower than 120 g/L and age older than 60 years (one point if present). Three risk groups were identified: low risk (0 points), intermediate risk (1 -2) and high risk (3 or more) Progression-free survival was measured from date of treatment until date of progression or death from any cause. Continuous variables were summarized as median and range, categorical variables reported as counts, and PFS and OS carried out using the Kaplan-Meier method and curves compared by the log-rank test. Results: median age was 55 years (range, 24 to 77), male sex 92 (51%), Ann Arbor Stage I-II: 32(18%), III-IV: 143 (82%), age > 60 y 70 (39%), Hb < 120 g/L 38 (21%), β2microglobulin > UNV: 45 (25%), LDH > UNV: 34 (19%), bone marrow infiltration 82 (48%), longer diameter of the largest involved node > 6 cm 64 (36%). 47 patients (26%) received rituximab-containing regimens and 124 received conventional chemotherapy regimens (pre-rituximab era). Median follow-up of the series was 66.9 months (range,1.3-221). Using the FLIPI score (n=162) 58 patients (36%) were in the low risk group, 54 (33%) were in the intermediate group and 50 (31%) in the high risk group. Using the FLIPI2 (n=180) 36 patients (20%) were in the low risk group, 103 (57%) in the intermediate group and 41 (23%) in the high risk group. According to FLIPI 5y- PFS rate was 79% for the low risk group, 63% for the intermediate group and 32% for the high risk group, p < 0.001. According to FLIPI2 score, 5y-PFS rate was 82% for the low risk, 54% for the intermediate and 43% for the high risk groups, p=0.017. Concerning OS, applying the FLIPI, 5y-OS rate for the low, intermediate and high risk groups were 94%m 84% and 64%, respectively, p=0.003. Using the FLIPI2, 5y-OS for the low, intermediate and high risk groups were 96%, 80% and 67% respectively, p=0.006. Conclusions: in our experience the FLIPI2 score is a reproducible prognostic index in patients with follicular lymphoma although the FLIPI score seems to discriminate better between groups than the FLIPI2 score. Disclosures: No relevant conflicts of interest to declare.

EUTOS Score Identifies Cases with Poor Outcome in Patients with Early Chronic Phase Chronic Myeloid Leukemia, Though Not Predictive for Optimal Response to Imatinib

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 3778-3778 ◽  
Author(s):  
Mario Tiribelli ◽  
Massimiliano Bonifacio ◽  
Elisabetta Calistri ◽  
Gianni Binotto ◽  
Elena Maino ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Progression Free Survival ◽  
High Risk Group ◽  
Low Risk ◽  
Molecular Response ◽  
Free Survival ◽  
Optimal Response ◽  
Risk Patients ◽  
Eutos Score

Abstract Abstract 3778 Introduction. The EUTOS score has recently been developed by the European Leukemia-Net (ELN) to predict the achievement of an 18-month complete cytogenetic response (CCyR) and progression-free survival in imatinib-treated early chronic phase (ECP) chronic myeloid leukemia (CML) patients. The score uses the percentage of basophils and spleen size to divide patients in 2 groups of low- and high-risk. Since its publication in 2011, however, there have been conflicting reports about the efficacy of EUTOS score. Moreover, scanty data are available on the power of this scoring system to foresee optimal response to imatinib, as defined by ELN recommendations. Aims and Methods. To test the power of EUTOS score in predicting achievement of optimal response to imatinib, as defined by ELN, time to imatinib failure (TTF) and progression-free survival (PFS), we evaluated 265 ECP CML patients treated with front-line standard dose imatinib (400 mg daily) at 5 major hematology centres in the north-eastern area of Italy. Partial cytogenetic response (PCyR) and CCyR were defined as 1–35% and 0% Ph+ metaphases, respectively; major molecular response (MMR) was defined as BCR-ABL <0.1%IS. TTF was measured from the start of imatinib to the date of any of the following events: progression to accelerated or blastic phase, death for any cause at any time, imatinib dose increase (≥ 600 mg/day) for primary or secondary hematologic or cytogenetic resistance. PFS was measured from the start of imatinib to the date of progression to accelerated or blastic phase or death for any cause at any time. Survival probabilities were estimated by the Kaplan-Meier method and compared by log rank test; differences among variables were evaluated by the Fisher's exact test or by Student's t-distribution. Results. A total of 265 consecutive patients with ECP CML were included in this study. The median age was 55 years (range 19–84), with 149 males and 116 females. The median follow-up was 61 months (range 6–136). The median time from diagnosis to imatinib therapy was 0.7 months (range 0 – 7.6). The distribution according to the EUTOS score was: 248 patients (93.6%) in the low risk group and 17 patients (6.4%) in the high risk group. The “optimal response” endpoints to imatinib (i.e. PCyR at 6th months, CCyR at 12th months and MMR at 18th months) were higher in low-risk patients, but did not achieve statistical significance. Specifically, the values were as following: PCyR 86% vs 67% (p=0.055), CCyR 80% vs 63% (p=0.117) and MMR 61% vs 36% (p=0.126). Cumulative incidence of CCyR was comparable in the two groups (88%% in low-risk and 80% in high risk), but time to CCyR was shorter in low-risk patients (6 months) compared to the one in high-risk patients (9 months) (p=0.048) [figure 1]. More importantly, EUTOS score was able to predict long term response to therapy. Indeed, 59% of patients in the high-risk group experienced imatinib failure, compared to 30% in the low-risk group (p=0.027). Moreover also TTF was significant shorter in the high-risk group [figure 2]. Fifty-three patients in the low-risk group (21%) were switched to 2nd-generation TKIs (29 dasatinib, 22 nilotinib, 1 bosutinib, 1 ponatinib), compared to six (35%) in the high-risk group (4 dasatinib, 2 nilotinib). Also PFS rate was significantly worse in patients with high EUTOS score, with 11/248 events (4%) in the low-risk group and 4/17 (23%) in the high-risk cases (p=0.01) [figure 3]. Conclusions. In our study group, the EUTOS score was predictive for long-term outcome of imatinib therapy, both in terms of treatment failure and of progression-free survival. Taking into consideration the ELN definitions of optimal response, there was a trend toward better cytogenetic and molecular response in low-risk patients; the lack of statistical significance could be due to the relatively small number of high-risk cases. Disclosures: No relevant conflicts of interest to declare.

The efficacy of EORTC risk tables in Japanese patients with non-muscle invasive bladder cancer.

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 331-331
Author(s):  
Satoru Muto ◽  
Takeshi Ieda ◽  
Syou-ichiro Sugiura ◽  
Akiko Nakajima ◽  
Akira Horiuchi ◽  
...  
Keyword(s):  
High Risk ◽  
Survival Time ◽  
Risk Group ◽  
Progression Free Survival ◽  
High Risk Group ◽  
Low Risk ◽  
Progression Rate ◽  
Intermediate Risk ◽  
Free Survival ◽  
Muscle Invasive

331 Background: To predict recurrence and progression of non-muscle invasive bladder cancer (NMIBC), EORTC risk tables are widely used worldwide. EORTC risk tables were, however, developed on the basis of individual data from 2,596 NMIBC patients included in seven special European Organization for Research and Treatment of Cancer trials. Therefore, it is not clear the efficacy of these risk tables in clinical practice, especially in Japan. I will report the recurrence and progression rate on the basis of EORTC risk tables in Japanese NMIBC patients. Methods: A retrospective analysis of 619 patients with NMIBC treated between January 1998 and 2012 was performed. Patients were divided into three groups on the basis of EORTC risk tables. We compared recurrence- and progression-free survival rates between groups. Recurrence- and progression-free survival was estimated using the Kaplan-Meier method. Results: We evaluated the clinical outcome of 1,032 TUR-Bt. The recurrence rate is 32.3% in low risk group (n=31), 44.5% in intermediate risk group (n=757), and 49.4% in high risk group (n=85). The median recurrence free survival time is 87 months in low risk group, 35 months in intermediate risk group, and 25 months in high risk group. Although there are significant differences in recurrence free survival time between low risk group and intermediate risk group (p=0.0351), there are no significant differences between intermediate risk group and high risk group (p=0.1871). On the other hand, the progression rate is 1.6% in low risk group (n=128), 5.8% in intermediate risk group (n=451), and 18.0% in high risk group (n=294). The median progression free survival time is 176 months in low risk group, 131 months in intermediate risk group, and 109 months in high risk group. There are significant differences in progression free survival time between low risk group and intermediate risk group (p=0.0138), and between intermediate risk group and high risk group (p=<0.0001). Conclusions: There is an urgent need to establish the standard of recurrence risk classification in Japan.

scholarly journals Six Metabolism Related mRNAs Predict the Prognosis of Patients With Hepatocellular Carcinoma

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiwen Wu ◽  
Tian Lan ◽  
Muqi Li ◽  
Junfeng Liu ◽  
Xukun Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Risk Score ◽  
Validation Cohort ◽  
Risk Group ◽  
Cancer Genome ◽  
Low Risk ◽  
The Cancer Genome Atlas ◽  
Survival Prediction ◽  
Training Cohort

Background: Hepatocellular carcinoma (HCC) is one of the most common aggressive solid malignant tumors and current research regards HCC as a type of metabolic disease. This study aims to establish a metabolism-related mRNA signature model for risk assessment and prognosis prediction in HCC patients.Methods: HCC data were obtained from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC) and Gene Enrichment Analysis (GSEA) website. Least absolute shrinkage and selection operator (LASSO) was used to screen out the candidate mRNAs and calculate the risk coefficient to establish the prognosis model. A high-risk group and low-risk group were separated for further study depending on their median risk score. The reliability of the prediction was evaluated in the validation cohort and the whole cohort.Results: A total of 548 differential mRNAs were identified from HCC samples (n = 374) and normal controls (n = 50), 45 of which were correlated with prognosis. A total of 373 samples met the screening criteria and there were randomly divided into the training cohort (n = 186) and the validation cohort (n = 187). In the training cohort, six metabolism-related mRNAs were used to construct a prognostic model with a LASSO regression model. Based on the risk model, the overall survival rate of the high-risk cohort was significantly lower than that of the low-risk cohort. The results of a time-ROC curve proved that the risk score (AUC = 0.849) had a higher prognostic value than the pathological grade, clinical stage, age or gender.Conclusion: The model constructed by the six metabolism-related mRNAs has a significant value for survival prediction and can be applied to guide the evaluation of HCC and the designation of clinical therapy.

scholarly journals Ferroptosis regulator genes are a favorable biomarker for hepatocellular carcinoma

2021 ◽  
Author(s):  
Yongfei He ◽  
Shuqi Zhao ◽  
Zhongliu Wei ◽  
Xin Zhou ◽  
Tianyi Liang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Cox Regression ◽  
Risk Group ◽  
Clinical Information ◽  
High Risk Group ◽  
Low Risk ◽  
The Cancer Genome Atlas ◽  
Regulator Genes ◽  
The Relationship

Abstract BackgroundIn this study, we comprehensively analyzed the relationship between ferroptosis regulator genes (FRGs) and prognosis of hepatocellular carcinoma (HCC), determined the prognostics value of FRGs, established a prediction model, and explored the relationship with immunotherapy for HCC.MethodsThe mRNA transcriptional levels and clinical information of HCC were obtained from The Cancer Genome Atlas (TCGA) database. The 24 FRGs were combined with the differential expression genes (DEGs) of HCC for further analysis. The prognostics values of differential FRGs via the construction of model and validation by the Cox regression analysis.ResultThere were three genes (CARS1, FANCD2, and SLC7A11) were identified as independent risk factors for HCC, and a predictive model was constructed based on CARS1, FANCD2, and SLC7A11. The model showed that the low-risk group HCC patients with a more prolonged overall survival (OS) than the high-risk group (P=0.001). The high-risk group with higher expression of FRGs than the low-risk group. Finally, the relations between FGEs and immune infiltration showed that CARS1, FANCD2, and SLC7A11 had a positive relationship with macrophage infiltration. From these, three genes might be the potential therapeutic targets.ConclusionOur study indicated that CARS1, FANCD2, and SLC7A11 might have potential value for therapeutic strategies as practical and reliable prognostic tools for HCC.

scholarly journals Differentially expressed liver exosome-related genes as a candidate prognostic biomarker for hepatocellular carcinoma

2020 ◽  
Author(s):  
Bangyou Zuo ◽  
Haitao Zhao ◽  
Jin Bian ◽  
Junyun Long ◽  
Xu Yang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Prognostic Model ◽  
Cox Regression ◽  
Risk Group ◽  
Cell Communication ◽  
High Risk Group ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Differentially Expressed

Abstract Background The function of exosome includes cell-to-cell communication, neovascularization, and metastasis of cancer cell and drug resistance, which plays an important part in the occurrence and progression of hepatocellular carcinoma (HCC). Because the mechanism in this area is less studied, our goal is to identify exosome-related genes in HCC, establish a reliable prognostic model for liver cancer patients, and explore its underlying mechanisms. Methods The exoRbase database and The Cancer Genome Atlas (TCGA) database were used to analyze differentially expressed genes (DEGs). Cox regression and LASSO analysis were applied to determine DEGs closely related to overall survival (OS). Then the exosome-related prognostic model was constructed in TCGA and validated in the database of International Cancer Genome Consortium (ICGC). Nomogram graph was performed to predict the survival. CIBERSORT was used to estimate the score of different type of immune cells. DEGs related to immunotherapy are used to predict the effect of immunotherapy. Results 48 exosome-related DEGs were obtained and five genes (XPO1, IFI30, FBXO16, CALM1, MORC3) among them were selected to construct predictive model. Then we divided the HCC patients into low-risk and high-risk groups by the best cut-off value according to the X-tile software. The high-risk related to exosome were significantly associated with a poor prognosis. Moreover, the features related to exosome could positively regulate immune response. At the same time, the proportion of T cell regulatory factors (Tregs) and macrophages M2 is higher in the high-risk group, and high-risk group exhibited higher expression of immune checkpoint molecular including PD-L1, PD-L2, TIGIT, and IDO1. Conclusions Overall, our research showed that markers related to exosomes were potential biomarkers for the prognosis of HCC, providing an immunological perspective for the development of precision treatment.

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