High expression of aldolase A is associated with tumor progression and poor prognosis in hepatocellular carcinoma

BackgroundAldolase A (ALDOA), a key glycolytic enzyme, has been reported to play an important role in lung, pancreatic, and colorectal cancer. However, the role and mechanism of ALDOA in hepatocellular carcinoma (HCC) are still unclear. This study aimed to study the role and potential mechanism of ALDOA in HCC.MethodsThe changes in expression level and clinical implications of ALDOA in HCC were studied through bioinformatics and online databases. The prognostic role of ALDOA was investigated by Kaplan-Meier and Cox regression survival analysis. We explored the potential mechanism of ALDOA in the development of HCC by gene set enrichment analysis (GSEA).ResultsThe expression level of ALDOA was significantly increased in HCC compared with adjacent normal tissues (P<0.001). The expression level of ALDOA was significantly associated with tumor, node, metastasis (TNM) stage, histologic grade, and p53 mutation (all P<0.05). Prognostically, HCC patients with high expression of ALDOA indicated poorer prognosis and shorter survival time. In addition, univariate and multivariate Cox regression analysis further suggested that overexpression of ALDOA was an independent prognostic risk factor (P<0.05). Furthermore, the nomogram was developed based on ALDOA expression and tumor TNM stage. Besides, ALDOA DNA copy gain and methylation were associated with ALDOA upregulation in HCC. Finally, GSEA suggested that high expression of ALDOA was associated with glucose catabolic process, cell cycle, DNA replication, E2F1 pathways, protein kinase B/mammalian target of rapamycin (AKT/mTOR) pathways, and CD4 T cell related immune biological processes.ConclusionsThere is a close relationship between ALDOA and HCC progression, and ALDOA may be a novel prognostic biomarker and a promising drug target for the treatment of HCC.     

CXCL5/CXCL8 is a promising potential prognostic and tumor microenvironment-related cluster in hepatocellular carcinoma

BackgroundImmune checkpoint blockers (ICBs) are increasingly applied to treat patients with advanced HCC. However, the overall survival (OS) of HCC patients is still unsatisfactory, and there is no confirmed immune-related and prognostic gene to identify patients who could clinically benefit from this treatment. The tumor microenvironment (TME) is known to be closely related to immunotherapy and plays a pivotal role in the recurrence and progression of HCC. Our aim is to explore TME-related genes and identify the prognostic value in HCC patients.MethodsESTIMATE, immune, and stromal scores were calculated for HCC patients based on RNA expression data from The Cancer Genome Atlas database. Differential expression analysis was performed to screen the differentially expressed genes (DEGs). A protein-protein interaction (PPI) network was constructed to identify the key DEGs. Univariate and multivariate Cox analyses were adopted to validate hub DEGs associated with clinical prognosis, and a single-sample gene set enrichment analysis (ssGSEA) algorithm was used to dissect the landscape of tumor-infiltrating cells (TIC) in HCC. Finally, the relationship between hub immune-related genes and TIC was explored through difference and correlation analyses.ResultsESTIMATE, immune and stromal scores were all found to be associated with the OS of patients (P<0.05). A total of 1,112 DEGs were identified by comparing low and high score groups of immune and stromal scores. Most of DEGs were enriched in immune-related gene sets by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Additionally, the top 34 genes were included in the protein–protein interaction (PPI) network, and univariate Cox analysis focus on a novel prognosis-related gene cluster CXCL5/CXCL8 (P<0.001). Regarding the immune landscape of HCC, univariable Cox regression analysis showed six immune cells to be associated with OS. Finally, 21 immune cells were commonly determined between high and low expression of CXCL5/CXCL8, suggesting there is a close relationship between expression of CXCL5 and CXCL8 .ConclusionsOur study has revealed that the immune-related gene cluster of CXCL5 /CXCL8 could be a promising prognostic indicator for HCC and a potential novel biomarker to guide the selection of HCC patients for ICB immunotherapy.     

Comparison of initial tumor responses to transarterial bland embolization and drug-eluting beads-transarterial chemoembolization in the management of hepatocellular carcinoma: a propensity-score matching analysis

BackgroundTransarterial bland embolization (TABE) is widely used to treat the spontaneous rupture of hepatocellular carcinoma (HCC), and can lead to ischemic necrosis of the tumor. In this study, we used the propensity-score matching (PSM) method to compare the initial responses of treatment-naïve HCC patients to TABE and drug-eluting beads-transarterial chemoembolization (DEB-TACE), and the safety of these treatments.MethodsPatients with treatment-naïve HCC, who had been admitted to 2 medical centers from January 2016 to December 2020, were enrolled as the research subjects. The data of 26 patients treated with TABE for ruptured HCC and 52 patients treated with DEB-TACE for primary HCC were collected according to our inclusion and exclusion criteria, and a PSM analysis was conducted to assess the safety and effectiveness of these two interventional techniques 1 month postoperatively.ResultsIn relation to ruptured HCC, TABE had a hemostatic success rate of 97.0%. Before PSM, the TABE group had a larger maximum tumor diameter (P<0.05), a higher proportion of multiple tumors (P<0.05), a higher proportion of Child-Pugh class B (P<0.05), and a higher proportion of Barcelona Clinic Liver Cancer (BCLC) stage B (P<0.05) than the DEB-TACE group. After PSM, the baseline characteristics of these two groups were well balanced, and there was no significant difference in patients’ initial therapeutic responses and tumor recurrence rates (both P>0.05). The multivariate regression analysis showed that tumor size was an independent predictor of the objective response rate (ORR) [odds ratio (OR): 3.312; 95% CI: 0.152–5.944; P<0.05]. Tumor number and BCLC stage also affected ORR; however, ORR was not significantly correlated with the interventional technique (TABE vs. DEB-TACE; P>0.05). The incidences of post-embolization syndrome (PES) and 48-h hepatotoxicity were significantly lower in the TABE group than the DEB-TACE group (both P<0.05), but there was no significant difference in hepatotoxicity after 1 month (P>0.05).ConclusionsTABE is highly effective at managing hemorrhage from ruptured HCC. The initial therapeutic response of HCC to TABE is similar to that to DEB-TACE; however, TABE is associated with lower hepatotoxicity and fewer adverse effects, which paves the way for subsequent treatments and systemic therapies.     

Expression and prognostic significance of thrombospondin gene family in gastric cancer

BackgroundThrombospondins (THBSs) are glycoproteins expressed in the extracellular matrix (ECM) and have critical roles in tumor development and metastasis. However, the diverse expression patterns and prognostic roles of distinct THBS genes in gastric cancer have not been fully elucidated. In the current study, we aimed to investigate the expression patterns of THBSs in gastric cancer (GC) and determine whether they are prognostic markers for this malignancy.MethodsmRNA expression status and genetic mutations of THBS family members were performed by using ONCOMINE, UCSC Xena browser, GEPIA, and cBioPortal databases. Prognostic values and function enrichment analysis of the members were assessed via Kaplan-Meier plotter and Metascape.Resultswe found that the mRNA expression of THBS1, THBS2, THBS4, and COMP were higher in patients with GC tissues than those in normal gastric mucosa and there was no difference in the mRNA expression of THBS3 between GC and normal tissue. Survival analysis revealed that mRNA levels of THBSs were strongly related to worse OS in GC patients (P<0.05). Overexpression of THBSs indicated poor OS in stage III/IV GC and high expression of THBS1, THBS3, THBS4, and COMP were related to worse OS in stage II GC.ConclusionsBioinformatics analysis revealed a better understanding the value of THBS family members in GC and suggest that THBSs might serve as potential prognostic biomarkers for GC.     

The expression and prognostic value of GLYATL1 and its potential role in hepatocellular carcinoma

BackgroundGlycine-N-acyltransferase-like 1 (GLYATL1), which is involved in the detoxification of endogenous and exogenous acyl-CoA, promotes glutamine metabolism in xenobiotic metabolism. Recent evidence suggests an association between GLYATL1 and tumors. However, there are few comprehensive analyses of GLYATL1 in cancers. We evaluated the expression and prognostic value of GLYATL1 and explored the mechanism underlying the association between GLYATL1 and cancers.MethodsGLYATL1 mRNA expression across cancers was investigated in the Oncomine database and confirmed in the UALCAN and Gene Expression Profiling Interactive Analysis (GEPIA) databases. Next, its prognostic value in different cancers was revealed by PrognoScan and Kaplan-Meier plotter. According to clinicopathologic features, we conducted a subgroup analysis of the prognosis of GLYATL1 in a cohort of hepatocellular carcinoma (HCC) patients from The Cancer Genome Atlas (TCGA) and the {"type":"entrez-geo","attrs":{"text":"GSE116174","term_id":"116174"}}GSE116174 dataset. We further investigated the GLYATL1 promoter methylation profile in HCC. Next, a protein-protein interaction (PPI) network was constructed via the Search Tool for the Retrieval of Interacting Genes (STRING) database. Finally, we utilized gene set enrichment analysis (GSEA) to identify significantly enriched pathways and confirmed their associations using the Tumor Immune Estimation Resource (TIMER) and GEPIA databases.ResultsGLYATL1 is downregulated in many cancers and indicates a poor prognosis. Specifically, low GLYATL1 expression was associated with short overall survival (OS) in HCC patients. Interestingly, GLYATL1 expression was associated with poor OS in stage I-II HCC patients and was revealed as an independent prognostic factor. The promoter methylation level of GLYATL1 in HCC tissue was significantly higher than that in normal liver tissue. The PPI network suggested that GLYATL1 is co-expressed with ten genes, including CNGA3 and GNB5. GSEA revealed that GLYATL1 is predominantly negatively enriched in xenobiotic metabolism, and the gene association analysis in TIMER and GEPIA showed a significantly negative association between the expression of GLYATL1 and the expression of most genes involved in mitochondrial glutamine metabolism, including SLC1A5 and SLC1A11.ConclusionsOur study is the first to shed light on the expression and prognostic value of GLYATL1 in cancers and provide a potential regulatory mechanism underlying HCC development.     

Prognostic value of splenic volume in hepatocellular carcinoma patients receiving transarterial chemoembolization

BackgroundLiver function is a key determinant for the survival of hepatocellular carcinoma (HCC) patients receiving transarterial chemoembolization (TACE). However, establishing robust prognostic indicators for liver insufficiencies and patient survival remains an unmet demand. This retrospective study evaluated the prognostic value of splenic volume (SV) in HCC patients undergoing TACE.MethodsA total of 67 HCC patients who underwent at least two consecutive TACE procedures were retrospectively included in this study. Comprehensive clinical information and follow-up data were collected, and the SV was measured based on dynamic contrast enhanced images. Risk factors of SV enlargement were assessed. The prognostic value of SV on survival was analyzed and compared with Child-Pugh (CP) classification and albumin-bilirubin (ALBI) grade.ResultsThe baseline SV was 299.74±143.63 cm³, and showed a moderate and statistically significant correlation with CP classification (R=0.31, P<0.05). The SV increased remarkably after the first and second TACE procedures (330.16±155.38 cm³, P<0.01, and 355.63±164.26 cm³, P<0.01, respectively). In survival analysis, the optimal cut-off value of SV was determined as 373 cm³ using X-tile software, and the patients were divided into the small SV group and the large SV groups accordingly. Based on the pre-TACE SV, the median overall survival (mOS) for patients in the small SV group and the large SV group was 458 days and 249 days, respectively (P<0.05). After the first and second TACE, the mOS in the small SV group and the large SV group were 454 vs. 266 days (P<0.05) and 526 vs. 266 days (P<0.05), respectively. No prognostic value of CP classification and ALBI grade was identified for these patients. Furthermore, there were no significant differences between the small and large SV groups in age, tumor stage, and ALBI grade, except for CP classification (P<0.05).ConclusionsSV was correlated with CP classification and was a robust predictor for HCC patients undergoing TACE treatment.     

ALBI grade in dialysis patients with hepatocellular carcinoma: prognostic impact and staging strategy

BackgroundPatients with hepatocellular carcinoma (HCC) may develop end-stage renal disease and receive dialysis, but the impact of dialysis on the prognosis is unclear. This study aimed to evaluate the outcome of dialysis HCC patients and the prognostic role of albumin-bilirubin (ALBI) grade in these patients.MethodsAmong the consecutive 3,794 HCC patients between 2002–2017, 43 patients undergoing dialysis, and 129 age, sex-matched controls were analyzed. Multivariate Cox hazards model was used to identify independent prognostic predictors.ResultsDialysis patients had decreased overall survival when compared with non-dialysis patients (n=3,751) and matched controls (n=129; each P=0.004). Patients with ALBI grade 1 had the best survival in the pooled cohort of dialysis and matched controls (n=172). In the Cox model, total tumor volume >33 cm³ [hazard ratio (HR): 6.763, P<0.001], presence of ascites (HR: 6.168, P<0.001), dialysis duration less than 24 months (HR: 3.144, P=0.006), diabetes-related dialysis (HR: 9.366, P=0.001) and non-curative treatments (HR: 9.220, P<0.001) were poor prognosis factors associated with increase mortality among dialysis patients. Of the 9 currently-used HCC staging systems, the CLIP score was the optimal cancer staging for dialysis patients.ConclusionsPatients receiving dialysis had decreased overall survival compared with non-dialysis patients. Longer duration of dialysis, non-diabetes related dialysis, absence of ascites, and curative treatments were associated with improved survival in these patients. The ALBI grade is a feasible prognostic model to evaluate liver functional reserve, and the CLIP model is the best staging system for dialysis patients with HCC.     

Prognostic value and association of sarcopenic obesity and systemic inflammatory indexes in patients with hepatocellular carcinoma following hepatectomy and the establishment of novel predictive nomograms

BackgroundThe specific impacts of sarcopenic obesity (SO) on hepatocellular carcinoma (HCC) and the association between SO and systemic inflammation remain unclear. This study aimed to investigate the prognostic value and association of SO and systemic inflammation with outcomes after hepatectomy for HCC and develop novel nomograms based on SO and inflammatory indexes for survival prediction.MethodsWe retrospectively enrolled 452 patients with HCC who underwent radical hepatectomy between January 2012 and March 2015 in Fujian Provincial Hospital as the training cohort. In addition, 275 patients during the same period were enrolled as the external validation cohort. Patients were classified into different groups according to the presence of sarcopenia and obesity. Different inflammation indexes were evaluated to select the best predictor of overall survival (OS) and recurrence-free survival (RFS). Univariate and multivariate logistic regression were performed to investigate the associations between inflammatory indexes and SO. The inflammatory indexes with the highest predictive values and SO were selected for subgroup analyses to establish a novel classification system: the SOLMR grade. SOLMR grades identified in the multivariate Cox analysis were selected to construct novel nomograms for OS and RFS.ResultsSO (P<0.001) was an independent risk factor for OS and RFS. The lymphocyte‐monocyte ratio (LMR) had the highest areas under the receiver operating characteristic (ROC) curves (AUCs) for OS (P<0.001) and RFS (P<0.001) and was identified as an independent factor of SO (P=0.001). SO and the LMR were selected to establish the SOLMR grade. Multivariate Cox analysis revealed that SOLMR grade was a significant independent predictor of OS (P<0.001) and RFS (P<0.001). Nomograms based on SOLMR grades were generated and accurately predicted 1-, 3- and 5-year OS and RFS in HCC patients. The C-index of the novel nomograms was higher than those of the other conventional staging systems (P<0.001).ConclusionsBoth SO and the LMR were independent risk factors for OS and RFS in HCC patients after hepatectomy. The LMR was an independent factor of SO. The novel nomograms developed from the SOLMR grading system combining SO with the LMR provide good prognostic estimates of the outcomes of HCC patients.     

Genome-wide association study of the TP53 R249S mutation in hepatocellular carcinoma with aflatoxin B1 exposure and infection with hepatitis B virus

BackgroundExposure to dietary aflatoxin B1 (AFB1) induces DNA damage and mutation in the TP53 gene at codon 249, known as the TP53 R249S mutation, and is a major risk factor for hepatocellular carcinoma (HCC). AFB1 and the hepatitis B virus (HBV) together exert synergistic effects that promote carcinogenesis and TP53 R249S mutation in HCC.MethodsA genome-wide association study (GWAS) of whole genome exons was conducted using 485 HCC patients with chronic HBV infection. This was followed by an independent replication study conducted using 270 patients with chronic HBV infection. Immunohistochemistry was used to evaluate TP53 expression in all samples. This showed a correlation between codon 249 mutations and TP53 expression. Susceptibility variants for the TP53 R249S mutation in HCC were identified based on both the GWAS and replication study. The associations between identified variants and the expression levels of their located genes were analyzed in 20 paired independent samples.ResultsThe likelihood of positive TP53 expression was found to be higher in HCC patients with the R249S mutation both in the GWAS (P<0.001) and the replication study (P=0.006). The combined analyses showed that the TP53 R249S mutation was significantly associated with three single nucleotide polymorphisms (SNPs): ADAMTS18 rs9930984 (adjusted P=4.84×10⁻⁶), WDR49 rs75218075 (adjusted P=7.36×10⁻⁵), and SLC8A3 rs8022091 (adjusted P=0.042). The TP53 R249S mutation was found to be highly associated with the TT genotypes of rs9930984 (additive model, P=0.01; dominant model, P=6.43×10⁻⁵) and rs75218075 (additive model, P=0.002; dominant model, P=2.16×10⁻⁴). Additionally, ADAMTS18 mRNA expression was significantly higher in HCC tissue compared with its expression in paired non-tumor tissue (P=0.041), and patients carrying the TT genotype at rs9930984 showed lower ADAMTS18 expression in non-tumor tissue compared with patients carrying the GT genotype (P=0.0028). WDR49 expression was markedly lower in HCC tissue compared with paired non-tumor tissue (P=0.0011).ConclusionsTP53 expression is significantly associated with the R249S mutation in HCC. Our collective results suggest that rs9930984, rs75218075, and rs8022091 are associated with R249S mutation susceptibility in HCC patients exposed to AFB1 and HBV infection.     

Profiles of immune infiltration in the tumor microenvironment of hepatocellular carcinoma

BackgroundThus far, few studies have systematically analyzed the profiles of immune cells infiltrated in the tumor microenvironment (TME) of hepatocellular carcinoma (HCC). Therefore, the purpose of our study was to comprehensively analyze the 22 tumor-infiltrating immune cells (TIICs) and the immune subtypes of HCC, as well as the factors associated with the prognosis of HCC patients.MethodsIn this study, we evaluated the abundance of 22 tumor-infiltrating immunocytes of 371 HCC patients from The Cancer Genome Atlas (TCGA) database by using the CIBERSORT algorithm, and defined immune subtypes of HCC according to unsupervised cluster analysis. The immune score of HCC patients was calculated by the prognostic regression model, while the survival analysis was evaluated by the Kaplan-Meier method. In addition, the consistency index of TIICs and principal component analysis (PCA) of immunomodulator genes were estimated.ResultsThe results of this study showed that three distinct immune subtypes of HCC were stratified, and the C1 subtype and C3 subtype were correlated with a good prognosis. The cellular composition of three immune subtypes was different. Moreover, immunomodulator gene and programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) expression in the C1 subtype was significantly higher (P<0.05).ConclusionsThis suggested that the low immune score of HCC patients is associated with better clinical outcomes. In addition, the interaction network of cluster of differentiation CD8+ T cells was mainly concentrated in the C1 subtype. Taken together, this study showed that tumor-infiltrating immune cells can perhaps be an important determinant of clinical outcomes of patients with HCC and may provide biomarkers to reflect the immunotherapy response. Notably, the C1 subtype of HCC may be used as an important predictive factor for immunotherapy response.     

Prognostic significance of BMP7 as an oncogene in hepatocellular carcinoma

This study aims to evaluate the association between BMP7 tissue expression and patient prognosis in hepatocellular carcinoma (HCC). The expression of BMP7 mRNA in HCC was characterized using real-time PCR and 30 pairs of fresh frozen HCC tissues and corresponding noncancerous tissues. BMP7 protein expression in HCC was confirmed using immunohistochemistry on a tissue microarray chip. Finally, BMP7 expression was correlated with conventional clinicopathological features of HCC and patient outcome. The expression of BMP7 mRNA and protein in HCC cells was much higher than in normal hepatic cells. Our results showed that the high expression of BMP7 in HCC was related to tumor size (p?<?0.001), histological differentiation (p?=?0.041), serum AFP (p?=?0.007), and tumor stage (p?<?0.001). Kaplan–Meier survival analysis showed that a high-expression level of BMP7 resulted in a significantly poor prognosis of HCC patients. Multivariate analysis revealed that BMP7 expression level was an independent prognostic parameter for the overall survival rate of HCC patients. These findings provide evidence that a high-expression level of BMP7 serves as a biomarker for poor prognosis for HCC. Thus, we speculate that BMP7 may be a potential target of antiangiogenic therapy for HCC.     

Prognosis model of colorectal cancer patients based on NOTCH3, KMT2C,and CREBBP mutations

BackgroundColorectal cancer (CRC) is one of the most common cancers. The aim of our study was to explore its related mutations, identify novel mutation markers, and construct predictive models for postoperative CRC patients, so as to provide evidence for the diagnosis, treatment, and prognosis of CRC.MethodsA total 50 CRC patients were collected, and the mutations in tissue samples were detected through next-generation sequencing (NGS). Meanwhile, 246 CRC cases with complete mutation data were downloaded from The Cancer Genome Atlas (TCGA) database. Afterwards, the co-mutations in both clinical and TCGA cohorts were identified, and the high-frequency mutation genes were selected. Subsequently, functional enrichment analysis was performed, and overall survival (OS) and progression-free survival (PFS) predictive models were constructed.ResultsIn all, 18 out of 238 co-mutation genes mutated in at least 20% of the samples and were selected out as common high-frequency mutation genes. They were significantly enriched in 460 Gene Ontology (GO) terms and 87 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (P<0.05), which were closely related to the occurrence and development of CRC. Among the 18 genes, NOTCH3, histone lysine methyltransferase 2C (KMT2C), and cAMP-response element binding protein-BP (CREBBP) were respectively associated with tumor position, stage, and PFS (P<0.05), and could be considered as potential biomarkers of CRC. Finally, OS and PFS predictive models were constructed and verified using the 50 clinical cases, with both models demonstrating high fitting degrees useful for predicting the OS and PFS of CRC patients.ConclusionsNOTCH3, KMT2C, and CREBBP were found to be prospective biomarkers for the diagnosis and prognosis of CRC. The prognosis prediction models had high sensitivity and could be used to predict the OS and PFS of CRC patients.     

miR-125b prevent the progression of esophageal squamous cell carcinoma through the p38-MAPK signaling pathway

BackgroundTo examine the clinical significance of miR-125b in esophageal squamous cell carcinoma (ESCC) and to research the effect of miR-125b on the biological function of ESCC cells and the relevant underlying mechanism.MethodsThe expression of miR-125b in ESCC tissues and cell lines were discovered by RT-PCR assay. The interrelation between miR-125b expression and clinicopathological parameters and the forecasting of ESCC patients were analyzed. CCK-8 method and Transwell methods were used to detect the increased growth, shifting, and irruption of ESCC cells. Bioinformatics analysis was applied to forecast the possible target genes of miR-125b and verified through dual-luciferase reporter gene assay. After that, the expression of p38-MAPK mRNA and protein were found out by RT-PCR and Western blot.ResultsThe expression of miR-125b was down-regulated in ESCC tissues and cell lines (P<0.05). And the expression of miR-125b was closely about tumor differentiation, TNM level, and lymph node metastasis in ESCC patients. The low miR-125b formulation was closely related to rough forecasting in ESCC patients. Large scale expression of miR-125b can effectively decrease the acceleration, shifting, and irrupting strengths of ESCC cells. Bioinformatics analysis showed p38-MAPK was forecasted to be a potential mark of miR-125b, which was confirmed by dual luciferase assay, and extreme expression of miR-125b can stop the expression of p38-MAPK mRNA and protein.ConclusionsmiR-125b is down-regulated in ESCC. Moreover, its expression level is significant concerning tumor progression and prognosis in patients with ESCC. MiR-125b can stop the high growth and shifting of ESCC cells having p38-MAPK at target.     

Prognostic value of the ratio of carcinoembryonic antigen concentration to maximum tumor diameter in patients with stage II colorectal cancer

BackgroundRecently, a study from our center indicated that the ratio of preoperative carcinoembryonic antigen (CEA) concentration to maximum tumor diameter (DMAX) may be a prognostic marker for patients with rectal cancer. Therefore, the study aimed to evaluate whether this ratio (CEA/DMAX) has prognostic value for patients with stage II colorectal cancer (CRC).MethodsA prospectively maintained database was searched for patients with pathologically confirmed stage II CRC who underwent surgery between January 2010 and March 2019. Patients were stratified according to the mean CEA/DMAX value into low and high CEA/DMAX groups. Kaplan-Meier, univariable, and multivariable Cox regression analyses were used to evaluate whether the CEA/DMAX could predict overall survival (OS) and disease-free survival (DFS). Nomograms were constructed in terms of the results of multivariable Cox regression analyses.ResultsThe study included 2,499 patients with stage II CRC. The mean CEA/DMAX value was 2.33 (ng/mL per cm). Kaplan-Meier analyses revealed that, relative to the low CEA/DMAX group, the high CEA/DMAX group had significantly poorer OS (67.31% vs. 85.02%, P<0.001) and DFS (61.41% vs. 77.10%, P<0.001). The multivariable Cox regression analysis revealed that CEA/DMAX independently predicted OS (hazard ratio: 2.58, 95% confidence interval: 1.51–4.38, P<0.001) and DFS (hazard ratio: 1.97, 95% confidence interval: 1.38–2.83, P<0.001). Two simple-to-use nomograms comprising CEA/DMAX, age, T stage, and lymphovascular invasion were developed to predict 1-, 3-, and 5-year rates of OS and DFS among patients with stage II CRC. The nomograms had good performance based on the concordance index, receiver operating characteristic (ROC) curve analysis, and calibration curves. Subgroup analyses further confirmed that a high CEA/DMAX was associated with poor OS and DFS among patients with stage II colon cancer and among patients with stage II rectal cancer (both P<0.05).ConclusionsAmong patients with stage II CRC, a high CEA/DMAX independently predicted poor OS and DFS, and the predictive abilities were also observed in subgroup analyses of patients with stage II colon cancer or rectal cancer. Furthermore, we developed two nomograms that had good accuracy for predicting the prognosis of stage II CRC.     

Co-amplification of genes in chromosome 8q24: a robust prognostic marker in hepatocellular carcinoma

BackgroundHepatocellular carcinoma (HCC) is a leading cause of tumor-associated death worldwide, owing to its high 5-year postoperative recurrence rate and inter-individual heterogeneity. Thus, a prognostic model is urgently needed for patients with HCC. Several researches have reported that copy number amplification of the 8q24 chromosomal region is associated with low survival in many cancers. In the present work, we set out to construct a multi-gene model for prognostic prediction in HCC.MethodsRNA sequencing and copy number variant data of tumor tissue samples of HCC from The Cancer Genome Atlas (n=328) were used to identify differentially expressed messenger RNAs of genes located on the chromosomal 8q24 region by the Wilcox test. Univariate Cox and Lasso-Cox regression analyses were carried out for the screening and construction of a prognostic multi-gene signature in The Cancer Genome Atlas cohort (n=119). The multi-gene signature was validated in a cohort from the International Cancer Genome Consortium (n=240). A nomogram for prognostic prediction was built, and the underpinning molecular mechanisms were studied by Gene Set Enrichment Analysis.ResultsWe successfully established a 7-gene prognostic signature model to predict the prognosis of patients with HCC. Using the model, we divided individuals into high-risk and low-risk sets, which showed a significant difference in overall survival in the training dataset (HR =0.17, 95% CI: 0.1–0.28; P<0.001) and in the testing dataset (HR = 0.42, 95% CI: 0.23–0.74; P=0.002). Multivariate Cox regression analysis showed the signature to be an independent prognostic factor of HCC survival. A nomogram including the prognostic signature was constructed and showed a better predictive performance in short-term (1 and 3 years) than in long-term (5 years) survival. Furthermore, Gene Set Enrichment Analysis identified several pathways of significance, which may aid in explaining the underlying molecular mechanism.ConclusionsOur 7-gene signature is a reliable prognostic marker for HCC, which may provide meaningful information for therapeutic customization and treatment-related decision making.