Association of processed food, synergistic effect of alcohol and HBV with Hepatocellular Carcinoma in a high incidence region of India

Phukan, Rup Kumar; Borkakoty, Biswa Jyoti; Phukan, Sanjib Kumar; Bhandari, Kumar; Mahanta, J; Tawsik, Sopai; Bhandari, Sangita; Rai, Ashish; Narain, Kanwar

doi:10.1016/j.canep.2018.01.005

Cited by 12 publications

(12 citation statements)

References 48 publications

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“…Hepatocellular carcinoma (HCC) constitutes about 85-90% of all primary malignant liver tumors. Chronic hepatitis B virus (HBV) infection, hepatitis C virus (HCV), smoking, a atoxin, obesity, chronic liver disease, and type 2 diabetes are the main risk factors [3,5,6]. Of these variables, recurrent liver disease is the primary cause of liver cancer [7].…”

Section: Introductionmentioning

confidence: 99%

Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysis

Kakar

Mehboob

Akram

et al. 2021

Preprint

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The goal of this study was to understand possible core genes associated with hepatocellular carcinoma (HCC) pathogenesis and prognosis. Gene Expression Omnibus (GEO) contains datasets of gene expression, miRNA and methylation patterns of diseased and healthy/control patients. GSE62232 Dataset was selected by employing the server GEO. A total of 91 samples were collected, including 81 HCC samples and 10 healthy samples as control. GSE62232 was analyzed through GEO2R, and functional enrichment analysis was performed to extract rational information from a set of DEGs. The protein-protein relationship networking search method was used for extracting interacting genes. MCC method was used to calculate the top 10 genes according to their importance. Hub genes in the network were analyzed using GEPIA to estimate the effect of their differential expression on cancer progression. We identified the top 10 hub genes through Cytohubba plugin. These genes include cell cycle regulatory cyclins and cyclin-dependent proteins CCNA2, CCNB1 and CDK1. The pathogenesis and prognosis of HCC may be directly linked with the aforementioned genes. In this analysis, we found critical genes for HCC that showed recommendations for more diagnostic and predictive biomarker studies that could promote selective molecular therapy for HCC.

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Section: Introductionmentioning

confidence: 99%

Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysis

Kakar

Mehboob

Akram

et al. 2021

Preprint

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“…Among all types of primary malignant liver tumors, hepatocellular carcinoma (HCC) accounts for approximately 85–90% of all cases. The major risk factors including chronic infections by hepatitis B virus (HBV) and hepatitis C virus (HCV), aflatoxin exposure, smoking, type 2 diabetes, obesity, and so on ( Marengo et al, 2016 ; Bray et al, 2018 ; Phukan et al, 2018 ). As a highly heterogeneous cancer disease, localized HCC patients often have poor prognosis with 5-year overall survival (OS) rate of 30%, and this rate drops below 5% for those with distant metastases ( Oweira et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Pathways Associated With Clinical Outcome in Hepatocellular Carcinoma

Li¹,

Chen

Yang³

et al. 2020

Front. Genet.

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Hepatocellular carcinoma (HCC) accounts for approximately 85–90% of all liver cancer cases and has poor relapse-free survival. There are many gene expression studies that have been performed to elucidate the genetic landscape and driver pathways leading to HCC. However, existing studies have been limited by the sample size and thus the pathogenesis of HCC is still unclear. In this study, we performed an integrated characterization using four independent datasets including 320 HCC samples and 270 normal liver tissues to identify the candidate genes and pathways in the progression of HCC. A total of 89 consistent differentially expression genes (DEGs) were identified. Gene-set enrichment analysis revealed that these genes were significantly enriched for cellular response to zinc ion in biological process group, collagen trimer in the cellular component group, extracellular matrix (ECM) structural constituent conferring tensile strength in the molecular function group, protein digestion and absorption, mineral absorption and ECM-receptor interaction. Network system biology based on the protein–protein interaction (PPI) network was also performed to identify the most connected and important genes based on our DEGs. The top five hub genes including osteopontin ( SPP1 ), Collagen alpha-2(I) chain ( COL1A2 ), Insulin-like growth factor I ( IGF1 ), lipoprotein A ( LPA ), and Galectin-3 ( LGALS3 ) were identified. Western blot and immunohistochemistry analysis were employed to verify the differential protein expression of hub genes in HCC patients. More importantly, we identified that these five hub genes were significantly associated with poor disease-free survival and overall survival. In summary, we have identified a potential clinical significance of these genes as prognostic biomarkers for HCC patients who would benefit from experimental approaches to obtain optimal outcome.

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“…Así también, dos de tres estudios que evaluaron cáncer colorrectal encontraron mayor riesgo de cáncer 19,32,33 . Además, tres estudios evaluaron cáncer de próstata 19,34,35 , dos cáncer esofágico 36,37 , uno cáncer de tiroides 38 , uno cáncer hepático 39 , uno cáncer de pulmón 29 , uno leucemia linfocítica crónica 40 , uno cáncer gástrico 41 y uno mortalidad por cáncer 42 . Estos últimos, encontraron asociación positiva con el consumo de alimentos procesados o ultraprocesados.…”

Section: Resultsunclassified

Relación entre consumo de alimentos procesados, ultraprocesados y riesgo de cáncer: una revisión sistemática

Díaz¹,

Glaves

2020

Rev. chil. nutr.

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Este trabajo fue recibido el 02 de abril de 2020. Aceptado con modificaciones: 25 de mayo de 2020. Aceptado para ser publicado: 24 de junio de 2020. RESUMEN La alimentación es un factor de riesgo modificable para el desarrollo de cáncer. El consumo de alimentos procesados y ultraprocesados se ha asociado a mayor riesgo de enfermedades crónicas no transmisibles. El objetivo de esta revisión es evaluar sistemáticamente la evidencia publicada sobre la relación entre el consumo de alimentos procesados y ultraprocesados con el desarrollo de distintos tipos de cáncer. Se realizó una búsqueda sistemática en la base de datos de Pubmed en los últimos 10 años. Se incluyeron estudios de cohorte, caso control o transversales que evaluaran riesgo de cáncer, no recidiva, en adultos y midieron la alimentación a través de encuestas o patrones dietarios. Dos autores revisaron de forma independiente títulos y resúmenes para seleccionar los artículos, posteriormente ambos realizaron una revisión de texto completo, extrajeron los datos y analizaron la calidad metodológica de los estudios incluidos. Los resultados contemplan las conclusiones de 18 estudios, cuatro estudios de cohorte, 13 caso-control y uno transversal. Catorce de los estudios incluidos asocian positivamente la ingesta de alimentos procesados y ultraprocesados con el desarrollo de algunos tipos de cáncer.

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Association of processed food, synergistic effect of alcohol and HBV with Hepatocellular Carcinoma in a high incidence region of India

Cited by 12 publications

References 48 publications

Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysis

Identification of novel potential biomarkers in hepatocarcinoma cancer; a transcriptome analysis

Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Pathways Associated With Clinical Outcome in Hepatocellular Carcinoma

Relación entre consumo de alimentos procesados, ultraprocesados y riesgo de cáncer: una revisión sistemática

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