Advances in early diagnosis of hepatocellular carcinoma

Bose, Partha Pratim; Chatterjee, Urmimala

doi:10.20517/2394-5079.2019.10

Cited by 3 publications

(5 citation statements)

References 41 publications

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“…Analysis of the microarray data has also indicated the downregulation of miR-4270 expression in HCC patients compared to the non-tumor tissues [ 9 ] . It is worth mentioning that HCC has various etiologies, such as non-alcoholic fatty liver disease, alcoholic liver disease, and different viral hepatitis, leading to tumorigenesis [ 3 , 24 ] .…”

Section: Discussionmentioning

confidence: 99%

“…Little data are known about the mechanism of action of miRNAs on HCC pathogenesis [ 3 , 10 , 24 , 25 ] . In this regard, we suggested that miRNAs played role through different mechanisms in various cell lines of HCC.…”

Section: Discussionmentioning

confidence: 99%

“…However, patients with advanced HCC do not respond to transplantation and surgical cures. Therefore, chemotherapy may currently be the only medical cure for the advanced HCC patients [ 3 ] .…”

Section: Introductionmentioning

confidence: 99%

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Effect of miR-4270 Suppression on Migration in Hepatocellular Carcinoma Cell Line (HepG2)

Akrami,

Gholami,

Fattahi

et al. 2023

IBJ

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Background: Liver transplantation and surgical resection are two major strategies for treatment of HCC patients. One approach to treating HCC is the suppression of metastasis to other tissues. Herein, we aimed to study the effect of miR-4270 inhibitor on migration of HepG2 cells as well as activity of MMP these cells in order to find a strategy to suppress metastasis in future. Methods: HepG2 cells were treated with 0, 10, 20, 30, 40, 50, 60, 70, 80, and 90 nM of miR-4270 inhibitor, and then the cell viability was measured by trypan blue staining. Afterwards, cell migration and MMP activity of HepG2 cells were assessed by wound healing assay and zymography, respectively. The MMP gene expression was determined by real-time RT-PCR. Results: Results showed that miR-4270 inhibitor decreased the cell viability of HepG2 cells in a concentration-dependent manner. Also, inhibition of the miR-4270 reduced invasion, MMP activity, and expression of MMP genes in HepG2 cells, respectively. Conclusion: Our findings suggest that miR-4270 inhibitor decreases in vitro migration, which could help find a new approach for HCC therapy patients.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Effect of miR-4270 Suppression on Migration in Hepatocellular Carcinoma Cell Line (HepG2)

Akrami,

Gholami,

Fattahi

et al. 2023

IBJ

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“…Hepatocellular carcinoma (HCC) is one of the most common primary liver tumors in the world. It is characterized by high morbidity, rapid growth, strong invasion and high mortality [1][2][3]. Surgery is the most common method of treatment of liver cancer, but it is not appropriate for most HCC patients present with advanced stage.…”

Section: Introductionmentioning

confidence: 99%

TRMT6 promotes hepatocellular carcinoma progression through the PI3K/AKT signaling pathway

Liu

et al. 2023

Eur J Med Res

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Background Hepatocellular carcinoma is one of the most common and deadly cancers. The aim of this study was to elucidate the role of tRNA methyltransferase 6 (TRMT6) during HCC progression. Methods The role of TRMT6 in the progression and prognosis of HCC was confirmed by analysis of online databases and clinical human samples. The effects of up-regulation or down-regulation of TRMT6 on HCC cell proliferation and PI3K/AKT pathway-related protein expressions were verified. The molecular mechanism was investigated in vivo by constructing subcutaneous xenograft tumor model. Results TRMT6 was overexpressed in HCC tissues and associated with Tumour-Node-Metastasis (TNM) stage, primary tumor (T) and regional lymph node (N) classification. TRMT6 expressions in HCC cell lines were higher than that in normal liver cell. TRMT6 overexpression can promote HCC cell proliferation, increase the number of S phase cells. Interference with TRMT6 reduced the PI3K/AKT pathway-related protein expressions, and was reversed by the addition of IGF1. Interference with TRMT6 inhibited tumor growth in vivo and was related to PI3K/AKT pathway. Conclusions Overexpression of TRMT6 promote HCC cell proliferation in vivo and in vitro through PI3K/AKT/mTOR axis, which provides a potential choice for the treatment of HCC in clinical practice.

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“…It is really difficult to diagnose HCC early on. Hope for an early HCC diagnosis is provided by recent technical developments 5 .…”

mentioning

confidence: 99%

Circulating miRNA’s biomarkers for early detection of hepatocellular carcinoma in Egyptian patients based on machine learning algorithms

Sayed,

Solyman,

El Gedawy

et al. 2024

Sci Rep

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Liver cancer, which ranks sixth globally and third in cancer-related deaths, is caused by chronic liver disorders and a variety of risk factors. Despite therapeutic improvements, the prognosis for Hepatocellular Carcinoma (HCC) remains poor, with a 5-year survival rate for advanced cases of less than 12%. Although there is a noticeable decrease in the frequency of cases, liver cancer remains a significant worldwide health concern, with estimates surpassing one million cases by 2025. The prevalence of HCC has increased in Egypt, and it includes several neoplasms with distinctive messenger RNA (mRNA) and microRNA (miRNA) expression profiles. In HCC patients, certain miRNAs, such as miRNA-483-5P and miRNA-21, are upregulated, whereas miRNA-155 is elevated in HCV-infected people, encouraging hepatocyte proliferation. Short noncoding RNAs called miRNAs in circulation have the potential as HCC diagnostic and prognostic markers. This paper proposed a model for examining circulating miRNAs as diagnostic and predictive markers for HCC in Egyptian patients and their clinical and pathological characteristics. The proposed HCC detection model consists of three main phases: data preprocessing phase, feature selection based on the proposed Binary African Vulture Optimization Algorithm (BAVO) phase, and finally, classification as well as cross-validation phase. The first phase namely the data preprocessing phase tackle the main problems associated with the adopted datasets. In the feature selection based on the proposed BAVO algorithm phase, a new binary version of the BAVO swarm-based algorithm is introduced to select the relevant markers for HCC. Finally, in the last phase, namely the classification and cross-validation phase, the support vector machine and k-folds cross-validation method are utilized. The proposed model is evaluated on three studies on Egyptians who had HCC. A comparison between the proposed model and traditional statistical studies is reported to demonstrate the superiority of using the machine learning model for evaluating circulating miRNAs as diagnostic markers of HCC. The specificity and sensitivity for differentiation of HCC cases in comparison with the statistical-based method for the first study were 98% against 88% and 99% versus 92%, respectively. The second study revealed the sensitivity and specificity were 97.78% against 90% and 98.89% versus 92.5%, respectively. The third study reported 83.2% against 88.8% and 95.80% versus 92.4%, respectively. Additionally, the results show that circulating miRNA-483-5p, 21, and 155 may be potential new prognostic and early diagnostic biomarkers for HCC.

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Advances in early diagnosis of hepatocellular carcinoma

Cited by 3 publications

References 41 publications

Effect of miR-4270 Suppression on Migration in Hepatocellular Carcinoma Cell Line (HepG2)

Effect of miR-4270 Suppression on Migration in Hepatocellular Carcinoma Cell Line (HepG2)

TRMT6 promotes hepatocellular carcinoma progression through the PI3K/AKT signaling pathway

Circulating miRNA’s biomarkers for early detection of hepatocellular carcinoma in Egyptian patients based on machine learning algorithms

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