scholarly journals Obesity, an independent risk factor for hepatocellular carcinoma (HCC) in NAFLD non-cirrhotic patients

2013 ◽  
Vol 19 (1) ◽  
pp. 51-56
Author(s):  
Andra-Iulia Suceveanu ◽  
Laura Mazilu ◽  
F. Voinea ◽  
A.P Suceveanu ◽  
Irinel Raluca Parepa ◽  
...  

AbstractHepatocellular carcinoma (HCC) is one of the most common malignancies with increasing incidence in developed countries. Epidemiological studies show that the cause of new discovered HCC cases remains unclear in 15%-50% of cases. Obesity and the subsequent/ underlying nonalcoholic fatty liver disease (NAFLD) can be responsible for most of these cases. The aim of our study was to estimate the risk of HCC in obese patients diagnosed with NAFLD, without clinical or imagistic features of liver cirrhosis, in order to see if HCC can develop in fatty liver in the absence of cirrhosis. Patients with regular/daily alcohol consumption or diagnosed with liver viral infections were excluded. We studied 214 obese patients with NAFLD over a period of 5 years. We evaluated all patients using abdominal ultrasound and serum alpha-fetoprotein every 6 month, in order to detect the HCC occurrence. Kaplan-Meier analysis estimated the cumulative incidence of HCC. Univariate and multivariate Cox regression analysis were used to assess associations between HCC and obesity. The median follow-up was 4.3 years. During the study period, 16 from 118 cirrhotic NFLAD patients (13.5%) and 12 from 96 non-cirrhotic NAFLD patients (12.5 %) developed HCC (p = 0.07, ns). The cumulative incidence of HCC was found to be 2.9% in obese patients with NAFLD-cirrhosis, compared with 2.2% in obese patients without cirrhosis (p = 0.09, ns). Multivariate regression analysis revealed that older age (p = 0.04) was independent variable associated with development of HCC in patients with/without NAFLDcirrhosis. Obesity seems to be an independent risk factor for HCC occurrence, regardless the presence of mild or advanced liver fibrosis in NAFLD patients.

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 899-899 ◽  
Author(s):  
Theis H Terwey ◽  
Arturo Vega-Ruiz ◽  
Philipp G. Hemmati ◽  
Peter Martus ◽  
Ekkehart Dietz ◽  
...  

Abstract Abstract 899 Introduction: The classic definition of acute (aGVHD) and chronic graft-versus-host disease (cGVHD) was based on a cut-off day 100 after transplantation, but this did not reflect that aGVHD can occur later and that symptoms of aGVHD and cGVHD can occur simultaneously. In 2005 a NIH consensus classification was proposed which included 1) classic aGVHD, occurring before day 100, 2) persistent, recurrent or late aGVHD occurring thereafter, 3) classic cGVHD and 4) an overlap syndrome with simultaneous features of aGVHD and cGVHD. Only few studies have evaluated this classification and no studies have determined the differential impact of reduced intensity (RIC) and myeloablative conditioning (MAC). Method: We retrospectively analyzed 202 AML patients who were transplanted between 1999 and 2008. 102 patients received RIC (generally 6×30 mg/m2 FLU, 4×4 mg/kg BU, 4×10 mg/kg ATG) and immunosuppression with CSA/MMF and 100 patients received MAC (generally 6×2 Gy TBI and 2×60 mg/kg CY) and CSA/MTX. Donors were HLA-matched related (n=82), -matched unrelated (n=88) or -mismatched (n=32). Result: Leukocyte recovery was faster after RIC than after MAC (14 vs. 19 days, P<0.001) but time to reach full donor chimerism was similar (60 vs. 56 days, P=0.12). The cumulative incidence of classic aGVHD was lower after RIC than after MAC (40 vs. 67%, P<0.001) and it occurred later (31 vs. 23 days, P=0.041). No difference was seen in organ manifestations and in the overall aGVHD grade. The cumulative incidence of late aGVHD was low and did not differ between RIC and MAC (9 vs. 7%, P=NS). 13/16 patients with late aGVHD had persistent or recurrent classic aGVHD and 3/16 had de novo late aGVHD. Late aGVHD was less severe after RIC (grade III/IV 22 vs. 86%, P=0.041). The first signs of cGVHD were observed on days 86 after RIC and 97 after MAC with median onset on days 167 and 237, respectively (P=NS). The cumulative incidence of cGVHD tended to be lower after RIC (36 vs. 51%, P=0.088) and it tended to be less severe. Organ manifestations were similar except for cGVHD of the joints and fascia which affected 11% of MAC but no RIC patients (P=0.0021). More than half of cGVHD cases were subclassified as overlap cGVHD with no significant differences between RIC and MAC (51 vs. 65%, P=0.26). In multivariate Cox regression analysis of the whole cohort the only significant risk factor for aGVHD was MAC (HR 2.33, 95%CI 1.51–3.59, p<0.001). In RIC patients the administration of bone marrow lead to less aGVHD (HR 0.13, 95%CI 0.016–0.98, P=0.047). The only relevant risk factor for late aGVHD was prior aGVHD (HR 3.65, 95%CI 1.040–12.81, P=0.043). The most important risk factors for cGVHD were prior aGVHD (HR 2.77, 95%CI 1.64–5.67, P<0.001), female-to-male transplantation (HR 1.94, 95%CI 1.12–3.35, P=0.017) and advanced disease (HR 1.95, 95%CI 1.2–3.1, P=0.018). In multivariate Cox regression analysis with GVHD as time-dependant covariate aGVHD grade III/IV (HR 2.41, 95%CI: 1.51–3.87, P=0.001) and late aGVHD grade III/IV (HR 3.037, 95%CI 1.29–7.18, P=0.011) were associated with inferior overall survival (OS) while moderate cGVHD had a positive effect (HR 0.42, 95%CI 0.18–0.97, P=0.043). Classic and overlap cGVHD had no differential prognostic impact. Conclusion: This study in AML patients shows that previously established GVHD risk factors remain valid for the new NIH classification. It also confirms the major impact of conditioning intensity on GVHD incidence, the negative prognostic impact of severe aGVHD and the benefit of moderate cGVHD. The new category late aGVHD may only include few patients but will allow more adequate allocation to therapies or clinical trials. Whether the subgroups classic and overlap cGVHD are clinically relevant remains to be determined. Disclosures: No relevant conflicts of interest to declare.


2022 ◽  
Vol 12 ◽  
Author(s):  
Xiaoyan Fan ◽  
Junye Wen ◽  
Lei Bao ◽  
Fei Gao ◽  
You Li ◽  
...  

Liver hepatocellular carcinoma (LIHC) is one of the most lethal tumors worldwide, and while its detailed mechanism of occurrence remains unclear, an early diagnosis of LIHC could significantly improve the 5-years survival of LIHC patients. It is therefore imperative to explore novel molecular markers for the early diagnosis and to develop efficient therapies for LIHC patients. Currently, DEPDC1B has been reported to participate in the regulation of cell mitosis, transcription, and tumorigenesis. To explore the valuable diagnostic and prognostic markers for LIHC and further elucidate the mechanisms underlying DEPDC1B-related LIHC, numerous databases, such as Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), UALCAN, Kaplan-Meier plotter, and The Cancer Genome Atlas (TCGA) were employed to determine the association between the expression of DEPDC1B and prognosis in LIHC patients. Generally, the DEPDC1B mRNA level was highly expressed in LIHC tissues, compared with that in normal tissues (p &lt; 0.01). High DEPDC1B expression was associated with poor overall survival (OS) in LIHC patients, especially in stage II, IV, and grade I, II, III patients (all p &lt; 0.05). The univariate and multivariate Cox regression analysis showed that DEPDC1B was an independent risk factor for OS among LIHC patients (HR = 1.3, 95% CI: 1.08–1.6, p = 0.007). In addition, the protein expression of DEPDC1B was validated using Human Protein Atlas database. Furthermore, the expression of DEPDC1B was confirmed by quantitative real-time polymerase chain reaction (qRT-PCR) assay using five pairs of matched LIHC tissues and their adjacent noncancerous tissues. The KEGG pathway analysis indicated that high expression of DEPDC1B may be associated with several signaling pathways, such as MAPK signaling, the regulation of actin cytoskeleton, p53 signaling, and the Wnt signaling pathways. Furthermore, high DEPDC1B expression may be significantly associated with various cancers. Conclusively, DEPDC1B may be an independent risk factor for OS among LIHC cancer patients and may be used as an early diagnostic marker in patients with LIHC.


Author(s):  
Philip J. Johnson ◽  
Sofi Dhanaraj ◽  
Sarah Berhane ◽  
Laura Bonnett ◽  
Yuk Ting Ma

Abstract Background The neutrophil–lymphocyte ratio (NLR), a presumed measure of the balance between neutrophil-associated pro-tumour inflammation and lymphocyte-dependent antitumour immune function, has been suggested as a prognostic factor for several cancers, including hepatocellular carcinoma (HCC). Methods In this study, a prospectively accrued cohort of 781 patients (493 HCC and 288 chronic liver disease (CLD) without HCC) were followed-up for more than 6 years. NLR levels between HCC and CLD patients were compared, and the effect of baseline NLR on overall survival amongst HCC patients was assessed via multivariable Cox regression analysis. Results On entry into the study (‘baseline’), there was no clinically significant difference in the NLR values between CLD and HCC patients. Amongst HCC patients, NLR levels closest to last visit/death were significantly higher compared to baseline. Multivariable Cox regression analysis showed that NLR was an independent prognostic factor, even after adjustment for the HCC stage. Conclusion NLR is a significant independent factor influencing survival in HCC patients, hence offering an additional dimension in prognostic models.


2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Siqing Wang ◽  
Aiya Qin ◽  
Gaiqin Pei ◽  
Zheng Jiang ◽  
Lingqiu Dong ◽  
...  

Abstract Background Whether cigarette smoking is associated with the progression of immunoglobulin A nephropathy (IgAN) remains uncertain; therefore, we aimed to evaluate the effect of cigarette smoking on the prognosis of IgAN. Methods We divided 1239 IgAN patients from West China Hospital of Sichuan University who met the inclusion criteria into smoker (current or former) and non-smoker groups. The endpoint was end-stage renal disease (ESRD: eGFR < 15 mL/min/1.73 m2 or undergoing renal replacement treatment) and/or eGFR decreased by > 50%. Kaplan–Meier, correlation, logistic regression and Cox proportional hazards analyses were performed. The association between cigarette smoking and IgAN was further verified by propensity-score-matched cohort analysis. Results During the mean follow-up period of 61 months, 19% (40/209) of the smoker group and 11% (110/1030) of the non-smoker group reached the study endpoint (p < 0.001). Multivariate Cox regression analysis revealed that cigarette smoking (hazard ratio (HR) = 1.58; p = 0.043) was an independent risk factor predicting poor renal progression in IgAN, and that IgAN patients with chronic kidney disease (CKD) stage 3–4 were more susceptible to cigarette smoking (p < 0.001). After propensity score matching (PSM), a significant correlation between cigarette smoking and renal outcomes in IgAN patients was seen. Furthermore, Spearman’s correlation test revealed that smoking dose was negatively correlated with eGFR (r = 0.141; p < 0.001) and positively related with proteinuria (r = 0.096; p = 0.001). Conclusions Cigarette smoking is an independent risk factor for IgAN progression, especially for advanced patients.


2021 ◽  
Author(s):  
Desheng Cai ◽  
Zixin Wang ◽  
Yu Fan ◽  
Lin Cai ◽  
Kan Gong

Abstract Background: Tertiary Gleason pattern 5 (TGP5) was found to be prognostic in prostate cancer (PCa) after radical prostatectomy (RP), but related data from China was rare. Our study was aimed at finding out the effect of TGP5 on PCa with Gleason score (GS) 7 and supplementing data from China in this field.Methods: A total of 229 cases met with inclusion criteria during Jan. 2014 to Dec. 2018 were reviewed. Cases were divided into GS 7 without TGP5 and GS 7 with TGP5. We compared age at diagnosis, preoperative PSA level, prostate volume, PSA density (PSAD), GS variation, clinical T staging, pathological T staging, T staging variation, extra-prostatic extension (EPE), positive surgical margin (PSM) and seminal vesicle invasion (SVI) between the groups. Effects of TGP5 on prognosis of PCa with GS 7 were evaluated using biochemical recurrence (BCR) as the primary end point.Results: TGP5 was related to higher PSM rate (P=0.001) and BCR rate (P=0.009) but not related to higher preoperative PSA level, larger prostate volume, higher PSAD, GS upgrade, poorer clinical/pathological T staging, T upstaging, EPE and SVI (all P>0.05). The median follow-up time was 24 months (interquartile range 17.5-45.5). TGP5 was an independent risk factor to PCa with GS 7 after RP using Kaplan-Meier log-rank test (P=0.018). Both univariable and multivariable cox-regression analysis pointed out that TGP5 increased the incidence of BCR in PCa with GS 7 (P<0.05). Stratified analyses were also done.Conclusion: TGP5 is an independent risk factor predicting of BCR after RP in PCa with GS 7 from China. TGP5 is related to higher PSM rate and BCR incidence. It is time to renew the contemporary Grading Group system with the consideration of TGP.


2022 ◽  
Vol 2022 ◽  
pp. 1-16
Author(s):  
Dan Chen ◽  
Xiaoting Li ◽  
Hui Li ◽  
Kai Wang ◽  
Xianghua Tian

Background. As the most common hepatic malignancy, hepatocellular carcinoma (HCC) has a high incidence; therefore, in this paper, the immune-related genes were sought as biomarkers in liver cancer. Methods. In this study, a differential expression analysis of lncRNA and mRNA in The Cancer Genome Atlas (TCGA) dataset between the HCC group and the normal control group was performed. Enrichment analysis was used to screen immune-related differentially expressed genes. Cox regression analysis and survival analysis were used to determine prognostic genes of HCC, whose expression was detected by molecular experiments. Finally, important immune cells were identified by immune cell infiltration and detected by flow cytometry. Results. Compared with the normal group, 1613 differentially expressed mRNAs (DEmRs) and 1237 differentially expressed lncRNAs (DElncRs) were found in HCC. Among them, 143 immune-related DEmRs and 39 immune-related DElncRs were screened out. These genes were mainly related to MAPK cascade, PI3K-AKT signaling pathway, and TGF-beta. Through Cox regression analysis and survival analysis, MMP9, SPP1, HAGLR, LINC02202, and RP11-598F7.3 were finally determined as the potential diagnostic biomarkers for HCC. The gene expression was verified by RT-qPCR and western blot. In addition, CD4 + memory resting T cells and CD8 + T cells were identified as protective factors for overall survival of HCC, and they were found highly expressed in HCC through flow cytometry. Conclusion. The study explored the dysregulation mechanism and potential biomarkers of immune-related genes and further identified the influence of immune cells on the prognosis of HCC, providing a theoretical basis for the prognosis prediction and immunotherapy in HCC patients.


2021 ◽  
Vol 20 ◽  
pp. 153303382110414
Author(s):  
Xiaoyong Li ◽  
Jiaqong Lin ◽  
Yuguo pan ◽  
Peng Cui ◽  
Jintang Xia

Background: Liver progenitor cells (LPCs) play significant roles in the development and progression of hepatocellular carcinoma (HCC). However, no studies on the value of LPC-related genes for evaluating HCC prognosis exist. We developed a gene signature of LPC-related genes for prognostication in HCC. Methods: To identify LPC-related genes, we analyzed mRNA expression arrays from a dataset (GSE57812 & GSE 37071) containing LPCs, mature hepatocytes, and embryonic stem cell samples. HCC RNA-Seq data from The Cancer Genome Atlas (TCGA) were used to explore the differentially expressed genes (DEGs) related to prognosis through DEG analysis and univariate Cox regression analysis. Lasso and multivariate Cox regression analyses were performed to construct the LPC-related gene prognostic model in the TCGA training dataset. This model was validated in the TCGA testing set and an external dataset (International Cancer Genome Consortium [ICGC] dataset). Finally, we investigated the relationship between this prognostic model with tumor-node-metastasis stage, tumor grade, and vascular invasion of HCC. Results: Overall, 1770 genes were identified as LPC-related genes, of which 92 genes were identified as DEGs in HCC tissues compared with normal tissues. Furthermore, we randomly assigned patients from the TCGA dataset to the training and testing cohorts. Twenty-six DEGs correlated with overall survival (OS) in the univariate Cox regression analysis. Lasso and multivariate Cox regression analyses were performed in the TCGA training set, and a 3-gene signature was constructed to stratify patients into 2 risk groups: high-risk and low-risk. Patients in the high-risk group had significantly lower OS than those in the low-risk group. Receiver operating characteristic curve analysis confirmed the signature's predictive capacity. Moreover, the risk score was confirmed to be an independent predictor for patients with HCC. Conclusion: We demonstrated that the LPC-related gene signature can be used for prognostication in HCC. Thus, targeting LPCs may serve as a therapeutic alternative for HCC.


2020 ◽  
Author(s):  
Xiaohong - Liu ◽  
Qian - Xu ◽  
Zi-Jing - Li ◽  
Bin - Xiong

Abstract BackgroundMetabolic reprogramming is an important hallmark in the development of malignancies. Numerous metabolic genes have been demonstrated to participate in the progression of hepatocellular carcinoma (HCC). However, the prognostic significance of the metabolic genes in HCC remains elusive. MethodsWe downloaded the gene expression profiles and clinical information from the GEO, TCGA and ICGC databases. The differently expressed metabolic genes were identified by using Limma R package. Univariate Cox regression analysis and LASSO (Least absolute shrinkage and selection operator) Cox regression analysis were utilized to uncover the prognostic significance of metabolic genes. A metabolism-related prognostic model was constructed in TCGA cohort and validated in ICGC cohort. Furthermore, we constructed a nomogram to improve the accuracy of the prognostic model by using the multivariate Cox regression analysis.ResultsThe high-risk score predicted poor prognosis for HCC patients in the TCGA cohort, as confirmed in the ICGC cohort (P < 0.001). And in the multivariate Cox regression analysis, we observed that risk score could act as an independent prognostic factor for the TCGA cohort (HR (hazard ratio) 3.635, 95% CI (confidence interval)2.382-5.549) and the ICGC cohort (HR1.905, 95%CI 1.328-2.731). In addition, we constructed a nomogram for clinical use, which suggested a better prognostic model than risk score.ConclusionsOur study identified several metabolic genes with important prognostic value for HCC. These metabolic genes can influence the progression of HCC by regulating tumor biology and can also provide metabolic targets for the precise treatment of HCC.


2021 ◽  
Author(s):  
Rui Feng ◽  
Jian Li ◽  
Weiling Xuan ◽  
Hanbo Liu ◽  
Dexin Cheng ◽  
...  

Abstract Background Hepatocellular carcinoma (HCC) is a prevalent primary liver cancer and the main cause of cancer mortality. Its high complexity and dismal prognosis bring dramatic difficulty to treatment. Due to the disclosed dual functions of autophagy in cancer development, understanding autophagy-related genes devotes into seeking novel biomarkers for HCC. Methods Differential expression of genes in normal and tumor groups was analyzed to acquire autophagy-related genes in HCC. GO and KEGG pathway analyses were conducted on these genes. Genes were then screened by univariate regression analysis. The screened genes were subjected to multivariate Cox regression analysis to build a prognostic model. The model was validated by ICGC validation set. Results Altogether, 42 autophagy-related differential genes were screened by differential expression analysis. Enrichment analysis showed that they were mainly enriched in pathways including regulation of autophagy and cell apoptosis. Genes were screened by univariate analysis and multivariate Cox regression analysis to build a prognostic model. The model was constituted by 6 feature genes: EIF2S1, BIRC5, SQSTM1, ATG7, HDAC1, FKBP1A. Validation confirmed the accuracy and independence of this model in predicting HCC patient’s prognosis. Conclusion A total of 6 feature genes were identified to build a prognostic risk model. This model is conducive to investigating interplay between autophagy-related genes and HCC prognosis.


Author(s):  
Ahmed Abdel-Razik ◽  
Walaa Shabana ◽  
Ahmed Mohamed El Nakib ◽  
Mostafa Abdelsalam ◽  
Ahmed Abdelwahab ◽  
...  

Background and PurposeThe advanced glycation end products (AGEs) have been implicated in different diseases’ pathogenesis, but their role in hepatocellular carcinoma (HCC) is still a matter of debate. This study aims to investigate the association of AGEs with HCC development in patients with hepatitis C-related cirrhosis.MethodsOnly 153 of the 181 non-diabetic patients with cirrhosis were consecutively involved in this pilot cohort prospective study, along with 34 healthy control participants. Demographic characteristics, biochemical parameters, clinical data, and AGEs levels in all subjects at the starting point and every year after that for two years were assessed. Multivariable Cox regression analysis was used to settle variables that could predict HCC development within this period.ResultsHCC developed in 13 (8.5%) patients. Univariate Cox regression analysis reported that body mass index (P=0.013), homeostatic model assessment-insulin resistance (P=0.006), alpha-fetoprotein (P &lt;0.001), and AGEs levels (P &lt;0.001) were related to HCC development. After adjusting multiple confounders, the multivariable Cox regression model has revealed that AFP and AGEs were the powerful parameters related to the HCC occurrence (all P&lt;0.05). AGEs at a cutoff value of more than 79.6 ng/ml had 100% sensitivity, 96.4% specificity, and 0.999 area under the curve (all P&lt;0.001), using the receiver operating characteristic curve, for prediction of HCC development.ConclusionThis work suggests that AGEs are associated with an increased incidence of HCC, particularly in cirrhosis, which is encouraging in decreasing the risk of HCC in these patients.


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