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Wan Azani Mustafa^1,*, Afiqah Halim¹, Khairul Shakir Ab Rahman²
Oncologie, Vol.22, No.2, pp. 53-63, 2020, DOI:10.32604/oncologie.2020.013660
Abstract Cervical cancer develops as cells transformation in the cervix of a female that connects the uterus to the vagina. This cancer may impact the columnal epithelial cells of the cervix and therefore can be expanded to the lymphatic and circulatory system (metastasize), sometimes the kidneys, liver, prostate, vagina, and rectum. Many of the cervical cancer patients survived by taking early prevention by undergoing a Pap Smear Test. However, the result of the test usually takes a few weeks which is extremely time-consuming especially at the government hospital. The purpose of this research was to study… More >

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ARTICLE

Neslihan Duzkale^1,*, Hikmet Taner Teker²
Oncologie, Vol.22, No.2, pp. 65-74, 2020, DOI:10.32604/oncologie.2020.013707
Abstract BRCA1/2 genes are responsible for the hereditary breast and ovarian cancer syndrome. In this study, Turkish women with ovarian cancer were investigated in terms of demographic, clinicopathologic and family cancer stories according to their condition of the BRCA1/2 genes mutation carrier. During 2011 to 2017 in Turkey, BRCA1 and BRCA2 genes were analyzed in 38 women, who were diagnosed with cancer using Next Generation Sequencing technique. Pathogenic mutations were detected in 9 (23.7%) of patients. The diagnosis age for Ovarian cancer patients for BRCA1/2 mutation carriers was found higher. It was seen that mutations mostly occurred in the… More >

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Dong Zhang^1,#, Lingxia Tong^2,#, Qingjun Wang¹, Yunfeng Cao³, Yu Gao¹, Donghua Yang¹, Tianhao Bao^4,5, Zhitu Zhu^1,*
Oncologie, Vol.22, No.2, pp. 75-82, 2020, DOI:10.32604/oncologie.2020.012376
Abstract Predicting the onset and metastasis of early tumor is the primary means of improving lung cancer prognosis. The purpose of this study was to identify the ability of plasma metabolomics combined with blood markers to establish benign lung disease versus lung cancer regression models. Blood samples were collected from 174 lung cancer patients, 350 benign lung disease patients and 100 healthy volunteers and the metabolites were analyzed by mass spectrometry. The target metabolites consisted of 23 amino acids, 26 acylcarnitines and 45 conventional blood markers. A regression analysis model was established based on 12 metabolites… More >

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Guiping Chen^*, Tiantian Xie, Haibo Chen, Lijuan Chen
Oncologie, Vol.22, No.2, pp. 83-93, 2020, DOI:10.32604/oncologie.2020.012491
Abstract To investigate the expression and clinical significance of miR-152 and CYFRA21-1 in ovarian cancer (OC) tissues. Seventy-four OC patients diagnosed in our hospital from March 2016 to April 2019 (research group, RG) and 30 patients with benign ovarian tumor at the same time (control group, CG) were collected as research objects in this experiment. qRT-PCR and ELISA were used to detect and observe the expression levels of miR-152 in patient tissues and CYFRA21-1 in serum. ROC curves were drawn to analyze the diagnostic value of miR-152 and CYFRA21-1 in OC. The clinicopathological correlation analysis was… More >

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Dan Zhang¹, Shengyong Fu^2,*, Jie Xu³, Xia Sun¹
Oncologie, Vol.22, No.2, pp. 95-105, 2020, DOI:10.32604/oncologie.2020.012439
Abstract This study aimed to explore the expression and clinical significance of LINC01197 in the serum of patients with pancreatic cancer (PC). Methods: A total of 50 PC patients (patient group) treated in our hospital from March 2012 to April 2014 were collected, and another 50 healthy people (normal group) were collected for physical examination. The expression of LINC01197 in the serum of the two groups was detected by qRT-PCR method, and the expression of CA-199 in serum was detected by Roche automatic biochemistry. The expression and diagnostic values of CA-199 and LINC01197 in PC were analyzed,… More >

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Haoliang Zhang^1,*, Xiaowei Xing², Yang Liu¹, Shuangli Li¹, Weiyuan Li³
Oncologie, Vol.22, No.2, pp. 107-116, 2020, DOI:10.32604/oncologie.2020.012494
Abstract Lung cancer is the leading cause of death in cancer patients. Based on a modular and comprehensive analysis method, it is intended to identify their common pathogenesis. We downloaded data and analyzed differences in lung adenocarcinoma samples, lung squamous cell carcinoma samples, and normal samples. Co-expression analysis, enrichment analysis, and hypergeometric testing were used to predict transcription factors, ncRNAs, and retrospective target genes. We get 4596 differentially expressed genes in common differences in high multiples and clustered into 14 modules dysfunction. The 14 genes (including DOK2, COL5A1, and TSPAN8) have the highest connectivity in the… More >

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