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For: Golubnitschaja O, Polivka J Jr, Yeghiazaryan K, Berliner L. Liquid biopsy and multiparametric analysis in management of liver malignancies: new concepts of the patient stratification and prognostic approach. EPMA J 2018;9:271-85. [PMID: 30174763 DOI: 10.1007/s13167-018-0146-6] [Cited by in Crossref: 25] [Cited by in F6Publishing: 24] [Article Influence: 6.3] [Reference Citation Analysis]
Number Citing Articles
1 Polivka J, Windrichova J, Pesta M, Houfkova K, Rezackova H, Macanova T, Vycital O, Kucera R, Slouka D, Topolcan O. The Level of Preoperative Plasma KRAS Mutations and CEA Predict Survival of Patients Undergoing Surgery for Colorectal Cancer Liver Metastases. Cancers (Basel) 2020;12:E2434. [PMID: 32867151 DOI: 10.3390/cancers12092434] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
2 Lu M, Chen W, Zhuang W, Zhan X. Label-free quantitative identification of abnormally ubiquitinated proteins as useful biomarkers for human lung squamous cell carcinomas. EPMA J 2020;11:73-94. [PMID: 32140187 DOI: 10.1007/s13167-019-00197-8] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
3 Molacek J, Treska V, Zeithaml J, Hollan I, Topolcan O, Pecen L, Slouka D, Karlikova M, Kucera R. Blood biomarker panel recommended for personalized prediction, prognosis, and prevention of complications associated with abdominal aortic aneurysm. EPMA J 2019;10:125-35. [PMID: 31258818 DOI: 10.1007/s13167-019-00173-2] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
4 Liskova A, Samec M, Koklesova L, Kudela E, Kubatka P, Golubnitschaja O. Mitochondriopathies as a Clue to Systemic Disorders-Analytical Tools and Mitigating Measures in Context of Predictive, Preventive, and Personalized (3P) Medicine. Int J Mol Sci 2021;22:2007. [PMID: 33670490 DOI: 10.3390/ijms22042007] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
5 Xu XF, Liang L, Xing H, Shen F, Huang DS, Lau WY, Yang T. Clinical utility of serum biomarkers for hepatocellular carcinoma. Biomark Med 2021;15:151-5. [PMID: 33470867 DOI: 10.2217/bmm-2020-0474] [Reference Citation Analysis]
6 Pelizzaro F, Soldà F, Cardin R, Imondi A, Sartori A, Penzo B, Sammarco A, Aliberti C, Vitale A, Cillo U, Farinati F. SCCA-IgM in hepatocellular carcinoma patients treated with transarterial chemoembolization: gender-related differences. Biomark Med 2020;14:855-67. [PMID: 32808827 DOI: 10.2217/bmm-2019-0564] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Zubor P, Wang Y, Liskova A, Samec M, Koklesova L, Dankova Z, Dørum A, Kajo K, Dvorska D, Lucansky V, Malicherova B, Kasubova I, Bujnak J, Mlyncek M, Dussan CA, Kubatka P, Büsselberg D, Golubnitschaja O. Cold Atmospheric Pressure Plasma (CAP) as a New Tool for the Management of Vulva Cancer and Vulvar Premalignant Lesions in Gynaecological Oncology. Int J Mol Sci 2020;21:E7988. [PMID: 33121141 DOI: 10.3390/ijms21217988] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
8 Smith BJ, Silva-Costa LC, Martins-de-Souza D. Human disease biomarker panels through systems biology. Biophys Rev 2021;13:1179-90. [PMID: 35059036 DOI: 10.1007/s12551-021-00849-y] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Goldstein E, Yeghiazaryan K, Ahmad A, Giordano FA, Fröhlich H, Golubnitschaja O. Optimal multiparametric set-up modelled for best survival outcomes in palliative treatment of liver malignancies: unsupervised machine learning and 3 PM recommendations. EPMA J 2020;11:505-15. [PMID: 32839667 DOI: 10.1007/s13167-020-00221-2] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
10 Liskova A, Samec M, Koklesova L, Giordano FA, Kubatka P, Golubnitschaja O. Liquid Biopsy is Instrumental for 3PM Dimensional Solutions in Cancer Management. J Clin Med 2020;9:E2749. [PMID: 32854390 DOI: 10.3390/jcm9092749] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 5.5] [Reference Citation Analysis]
11 Liskova A, Samec M, Koklesova L, Brockmueller A, Zhai K, Abdellatif B, Siddiqui M, Biringer K, Kudela E, Pec M, Gadanec LK, Šudomová M, Hassan STS, Zulli A, Shakibaei M, Giordano FA, Büsselberg D, Golubnitschaja O, Kubatka P. Flavonoids as an effective sensitizer for anti-cancer therapy: insights into multi-faceted mechanisms and applicability towards individualized patient profiles. EPMA J 2021;:1-22. [PMID: 34025826 DOI: 10.1007/s13167-021-00242-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
12 Bizzarri M, Fedeli V, Monti N, Cucina A, Jalouli M, Alwasel SH, Harrath AH. Personalization of medical treatments in oncology: time for rethinking the disease concept to improve individual outcomes. EPMA J 2021;:1-14. [PMID: 34642594 DOI: 10.1007/s13167-021-00254-1] [Reference Citation Analysis]
13 Wang Y, Cheng T, Lu M, Mu Y, Li B, Li X, Zhan X. TMT-based quantitative proteomics revealed follicle-stimulating hormone (FSH)-related molecular characterizations for potentially prognostic assessment and personalized treatment of FSH-positive non-functional pituitary adenomas. EPMA J 2019;10:395-414. [PMID: 31832114 DOI: 10.1007/s13167-019-00187-w] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 3.7] [Reference Citation Analysis]
14 Samec M, Liskova A, Koklesova L, Samuel SM, Zhai K, Buhrmann C, Varghese E, Abotaleb M, Qaradakhi T, Zulli A, Kello M, Mojzis J, Zubor P, Kwon TK, Shakibaei M, Büsselberg D, Sarria GR, Golubnitschaja O, Kubatka P. Flavonoids against the Warburg phenotype-concepts of predictive, preventive and personalised medicine to cut the Gordian knot of cancer cell metabolism. EPMA J 2020;11:377-98. [PMID: 32843908 DOI: 10.1007/s13167-020-00217-y] [Cited by in Crossref: 32] [Cited by in F6Publishing: 37] [Article Influence: 16.0] [Reference Citation Analysis]
15 Kinkorová J, Topolčan O. Biobanks in the era of big data: objectives, challenges, perspectives, and innovations for predictive, preventive, and personalised medicine. EPMA J 2020;11:333-41. [PMID: 32849924 DOI: 10.1007/s13167-020-00213-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
16 Cheng T, Wang Y, Lu M, Zhan X, Zhou T, Li B, Zhan X. Quantitative Analysis of Proteome in Non-functional Pituitary Adenomas: Clinical Relevance and Potential Benefits for the Patients. Front Endocrinol (Lausanne) 2019;10:854. [PMID: 31920968 DOI: 10.3389/fendo.2019.00854] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
17 Zubor P, Kubatka P, Kajo K, Dankova Z, Polacek H, Bielik T, Kudela E, Samec M, Liskova A, Vlcakova D, Kulkovska T, Stastny I, Holubekova V, Bujnak J, Laucekova Z, Büsselberg D, Adamek M, Kuhn W, Danko J, Golubnitschaja O. Why the Gold Standard Approach by Mammography Demands Extension by Multiomics? Application of Liquid Biopsy miRNA Profiles to Breast Cancer Disease Management. Int J Mol Sci 2019;20:E2878. [PMID: 31200461 DOI: 10.3390/ijms20122878] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 8.0] [Reference Citation Analysis]
18 Tong J, Liu P, Ji M, Wang Y, Xue Q, Yang JJ, Zhou CM. Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients. Clin Med Insights Oncol 2021;15:11795549211000017. [PMID: 33854400 DOI: 10.1177/11795549211000017] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Saridemir S, Güven HE, Aksel B, Doğan L. Serum AMDL DR-70 levels: a new concept in the diagnosis and follow-up of colorectal carcinoma. Biomark Med 2020;14:621-8. [PMID: 32608998 DOI: 10.2217/bmm-2020-0004] [Reference Citation Analysis]
20 Li J, Tao Y, Cong H, Zhu E, Cai T. Predicting liver cancers using skewed epidemiological data. Artificial Intelligence in Medicine 2022;124:102234. [DOI: 10.1016/j.artmed.2021.102234] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
21 Huang X, Weng X, Lin S, Liu Y, Luo S, Wang H, Ming WK, Huang P. Half-dose fulvestrant plus anastrozole as a first-line treatment for hormone receptor-positive metastatic breast cancer: a cost-effectiveness analysis. BMJ Open 2020;10:e036107. [PMID: 32868353 DOI: 10.1136/bmjopen-2019-036107] [Reference Citation Analysis]
22 Ng ET, Ang RZ, Tran BX, Ho CS, Zhang Z, Tan W, Bai Y, Zhang M, Tam WW, Ho RC. Comparing Quality of Life in Breast Cancer Patients Who Underwent Mastectomy Versus Breast-Conserving Surgery: A Meta-Analysis. Int J Environ Res Public Health 2019;16:E4970. [PMID: 31817811 DOI: 10.3390/ijerph16244970] [Cited by in Crossref: 16] [Cited by in F6Publishing: 9] [Article Influence: 5.3] [Reference Citation Analysis]
23 Zhao L, Yang Y, Gao Q. Efficacy and safety of nivolumab plus apatinib in advanced liver carcinosarcoma: a case report. Immunotherapy 2019;11:651-6. [PMID: 31088237 DOI: 10.2217/imt-2018-0214] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
24 Stastny I, Zubor P, Kajo K, Kubatka P, Golubnitschaja O, Dankova Z. Aberrantly Methylated cfDNA in Body Fluids as a Promising Diagnostic Tool for Early Detection of Breast Cancer. Clin Breast Cancer 2020;20:e711-22. [PMID: 32792225 DOI: 10.1016/j.clbc.2020.05.009] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
25 Liu Y, Zhang X, Zhou S, Shi J, Xu Y, He J, Lin F, Wei A, Zhou L, Chen Z. Knockdown of Golgi phosphoprotein 73 blocks the trafficking of matrix metalloproteinase-2 in hepatocellular carcinoma cells and inhibits cell invasion. J Cell Mol Med 2019;23:2399-409. [PMID: 30677226 DOI: 10.1111/jcmm.14055] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
26 Tashkandi E, Basulaiman B, Alghareeb W, Hamadi F, Alghamdi A, Albabakri F, Alshabi R, Jaffal M, Albaradie A, Azher R. Thirty-Day Mortality After Curative and Palliative Anti-Cancer Treatment: Data Interpretation and Lessons for Clinical Implementation. Cancer Manag Res 2020;12:12301-8. [PMID: 33293858 DOI: 10.2147/CMAR.S277924] [Reference Citation Analysis]
27 Garufi A, Traversi G, Gilardini Montani MS, D'Orazi V, Pistritto G, Cirone M, D'Orazi G. Reduced chemotherapeutic sensitivity in high glucose condition: implication of antioxidant response. Oncotarget 2019;10:4691-702. [PMID: 31384396 DOI: 10.18632/oncotarget.27087] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
28 Koklesova L, Liskova A, Samec M, Buhrmann C, Samuel SM, Varghese E, Ashrafizadeh M, Najafi M, Shakibaei M, Büsselberg D, Giordano FA, Golubnitschaja O, Kubatka P. Carotenoids in Cancer Apoptosis-The Road from Bench to Bedside and Back. Cancers (Basel) 2020;12:E2425. [PMID: 32859058 DOI: 10.3390/cancers12092425] [Cited by in Crossref: 14] [Cited by in F6Publishing: 11] [Article Influence: 7.0] [Reference Citation Analysis]