scholarly journals Hepatoprotective effects of limb ischemic post-conditioning in hepatic ischemic rat model and liver cancer patients via PI3K/ERK pathways

2018 ◽  
Vol 14 (14) ◽  
pp. 2037-2050 ◽  
Author(s):  
Yanfeng Gao ◽  
Shuang Zhou ◽  
Fengfei Wang ◽  
Yue Zhou ◽  
Sen Sheng ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Patients ◽  
Rat Model ◽  
Hepatoprotective Effects

Detection of P16 and APC gene methylation in peripheral blood with liver cancer patients

2014 ◽  
Author(s):  
Lianhua Cui ◽  
Yang Song ◽  
Zhexun Lian ◽  
Jinmei Piao ◽  
Chengcheng Li ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Patients ◽  
Peripheral Blood ◽  
Apc Gene ◽  
Gene Methylation

Prevalence and Characteristics of Liver Cancer Patients in Immanuel Hospital Bandung within January 2013 until December 2014 Period

2016 ◽  
Vol 1 (4) ◽  
Author(s):  
Achmad R. Permadi ◽  
Hana Ratnawati ◽  
Teresa L. Wargasetia
Keyword(s):  
Liver Cancer ◽  
Cancer Patients ◽  
Medical Records ◽  
Clinical Symptoms ◽  
Data Retrieval ◽  
Common Cancer ◽  
Key Words Liver Cancer ◽  
Liver Cancer Patient ◽  
Right Lobe ◽  
The Right

Liver cancer is the fifth most common cancer in Indonesia. This research is to find out the prevalence and characteristics of liver cancer patients in Immanuel Hospital Bandung within the January 2013 until December 2014 period based on age, gender, clinical symptoms and predilections. This study was a descriptive verificative research with data retrieval of patients medical records that have been diagnosed with liver cancer that were hospitalized in Immanuel Hospital Bandung within January 2013 until December 2014 period. The study showed that the liver cancer patient prevalence in Immanuel Hospital Bandung within the period of January 2013 until December 2014 was 46 people. Characteristics of liver cancer patients in Immanuel Hospital Bandung within January 2013 until December 2014 period showed that the most liver cancer patients were male, compare with female with ratio 4:1, the most common age group of 56-65 years old, the most common clinical symptoms were abdominal pain with or without reffered pain to the right scapular bone and the most common predilection was right lobe of the liver. Key words: liver cancer, patients' characteristics, prevalence 

Insight Into Critical Gene Alterations Associated With Survival of Chinese Liver Cancer Patients

2021 ◽  
Author(s):  
Junxiao Wang ◽  
Zhongbin Li ◽  
Xiaoyan Liu ◽  
Zhenyu Wen ◽  
Zhenhu Ma ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Patients ◽  
Insight Into ◽  
Gene Alterations

Feasibility study of in vivo MRI based dosimetric verification of proton end-of-range for liver cancer patients

2013 ◽  
Vol 106 (3) ◽  
pp. 378-382 ◽  
Author(s):  
Yading Yuan ◽  
Ovidiu C. Andronesi ◽  
Thomas R. Bortfeld ◽  
Christian Richter ◽  
Russell Wolf ◽  
...  
Keyword(s):  
Liver Cancer ◽  
Cancer Patients ◽  
Feasibility Study ◽  
Dosimetric Verification

scholarly journals Quality of Life and Psychological Distress during Cancer: A Prospective Observational Study Involving Liver Cancer Patients

2021 ◽  
pp. 576-585
Author(s):  
Madeeha Malik ◽  
Iqra Parveen Kiyani ◽  
Shazana Rana ◽  
Azhar Hussain ◽  
Muhammad Bin Aslam Zahid
Keyword(s):  
Quality Of Life ◽  
Risk Factors ◽  
Liver Cancer ◽  
Medical History ◽  
Cancer Patients ◽  
Study Design ◽  
Negative Impact ◽  
Past Medical History ◽  
Symptom Scale

Introduction: Liver Cancer is aggressive cancer and patients are mostly screened and diagnosed when they become symptomatic at advanced. Disease severity, depression, fatigue, joint pain, and poor appetite have been reported as strong determinants of quality of life (QoL) among liver cancer patients. Aims: The objective of the study was to assess the quality of life and depression among liver cancer patients in Pakistan. Study Design:  A descriptive cross-sectional study design was used. Place and Duration of Study: The study was conducted in healthcare facilities of Islamabad and Rawalpindi, Pakistan between June 2020-December 2020. Methodology: Two pre-validated questionnaires i.e. EORTC QLQ-C30 and HADS were self-administered to a sample of 100 liver cancer patients selected using a convenience sampling technique for measuring QoL and depression, respectively. After data collection, data was cleaned, coded, and entered in SPSS. Results: The results highlighted that the lowest scores observed in the domain of symptom scale were: Nausea and Vomiting (23.72, ± 28.238), Dyspnea (25.27, ± 26.90), Constipation (26.03, ± 34.75) followed by Diarrhea (22.63, ± 28.42), whereas highest scores in the symptom scale were observed in the domain of fatigue (37.69, ± 20.06), pain (40.37, ± 18.44), insomnia (41.65, ± 32.37) and financial difficulties (60.33, ± 33.830). On the other hand, highest score on the functional scale was observed for physical functioning (64, ± 21.76) and the lowest score was observed in social functioning (53.19, ± 20.66). Conclusion: The present study concluded that liver cancer had a negative impact on risk factors/past medical history, co-morbidities, and poor socio-economic of life across all domains along with moderate depression in liver cancer patients. Illiteracy, advanced liver cancer stage, risk factors/past medical history, co-morbidities and poor socio-economic status negatively affected functional and symptom scale. Appropriate health educational and psychological interventional programs targeting patients should be initiated to improve awareness and reduce depression among liver cancer patients.

scholarly journals A Starvation-Based 9-mRNA Signature Correlates With Prognosis in Patients With Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Dengliang Lei ◽  
Yue Chen ◽  
Yang Zhou ◽  
Gangli Hu ◽  
Fang Luo
Keyword(s):  
Hepatocellular Carcinoma ◽  
High Risk ◽  
Liver Cancer ◽  
Cancer Patients ◽  
Enrichment Analysis ◽  
Clinical Information ◽  
Cancer Genome ◽  
Gene Set Enrichment Analysis ◽  
Biological Processes ◽  
Gene Set Enrichment

BackgroundHepatocellular carcinoma (HCC) is one of the world’s most prevalent and lethal cancers. Notably, the microenvironment of tumor starvation is closely related to cancer malignancy. Our study constructed a signature of starvation-related genes to predict the prognosis of liver cancer patients.MethodsThe mRNA expression matrix and corresponding clinical information of HCC patients were obtained from the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). Gene set enrichment analysis (GSEA) was used to distinguish different genes in the hunger metabolism gene in liver cancer and adjacent tissues. Gene Set Enrichment Analysis (GSEA) was used to identify biological differences between high- and low-risk samples. Univariate and multivariate analyses were used to construct prognostic models for hunger-related genes. Kaplan-Meier (KM) and receiver-operating characteristic (ROC) were used to assess the model accuracy. The model and relevant clinical information were used to construct a nomogram, protein expression was detected by western blot (WB), and transwell assay was used to evaluate the invasive and metastatic ability of cells.ResultsFirst, we used univariate analysis to identify 35 prognostic genes, which were further demonstrated to be associated with starvation metabolism through Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO). We then used multivariate analysis to build a model with nine genes. Finally, we divided the sample into low- and high-risk groups according to the median of the risk score. KM can be used to conclude that the prognosis of high- and low-risk samples is significantly different, and the prognosis of high-risk samples is worse. The prognostic accuracy of the 9-mRNA signature was also tested in the validation data set. GSEA was used to identify typical pathways and biological processes related to 9-mRNA, cell cycle, hypoxia, p53 pathway, and PI3K/AKT/mTOR pathway, as well as biological processes related to the model. As evidenced by WB, EIF2S1 expression was increased after starvation. Overall, EIF2S1 plays an important role in the invasion and metastasis of liver cancer.ConclusionsThe 9-mRNA model can serve as an accurate signature to predict the prognosis of liver cancer patients. However, its mechanism of action warrants further investigation.

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