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For: Kamps R, Brandão RD, Bosch BJ, Paulussen AD, Xanthoulea S, Blok MJ, Romano A. Next-Generation Sequencing in Oncology: Genetic Diagnosis, Risk Prediction and Cancer Classification. Int J Mol Sci 2017;18:E308. [PMID: 28146134 DOI: 10.3390/ijms18020308] [Cited by in Crossref: 193] [Cited by in F6Publishing: 161] [Article Influence: 38.6] [Reference Citation Analysis]
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13 Kastrisiou M, Zarkavelis G, Pentheroudakis G, Magklara A. Clinical Application of Next-Generation Sequencing as A Liquid Biopsy Technique in Advanced Colorectal Cancer: A Trick or A Treat? Cancers (Basel) 2019;11:E1573. [PMID: 31623125 DOI: 10.3390/cancers11101573] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
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15 Abramczyk H, Brozek-Pluska B, Jarota A, Surmacki J, Imiela A, Kopec M. A look into the use of Raman spectroscopy for brain and breast cancer diagnostics: linear and non-linear optics in cancer research as a gateway to tumor cell identity. Expert Rev Mol Diagn 2020;20:99-115. [PMID: 32013616 DOI: 10.1080/14737159.2020.1724092] [Cited by in Crossref: 17] [Cited by in F6Publishing: 7] [Article Influence: 8.5] [Reference Citation Analysis]
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17 Ekkert A, Šliachtenko A, Grigaitė J, Burnytė B, Utkus A, Jatužis D. Ischemic Stroke Genetics: What Is New and How to Apply It in Clinical Practice? Genes 2022;13:48. [DOI: 10.3390/genes13010048] [Reference Citation Analysis]
18 Tavolara TE, Niazi MKK, Gower AC, Ginese M, Beamer G, Gurcan MN. Deep learning predicts gene expression as an intermediate data modality to identify susceptibility patterns in Mycobacterium tuberculosis infected Diversity Outbred mice. EBioMedicine 2021;67:103388. [PMID: 34000621 DOI: 10.1016/j.ebiom.2021.103388] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Chava S, Gupta R. Identification of the Mutational Landscape of Gynecological Malignancies. J Cancer 2020;11:4870-83. [PMID: 32626534 DOI: 10.7150/jca.46174] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 2.5] [Reference Citation Analysis]
20 Ruan X, Sun Y, Wang W, Ye J, Zhang D, Gong Z, Yang M. Multiplexed molecular profiling of lung cancer with malignant pleural effusion using next generation sequencing in Chinese patients. Oncol Lett 2020;19:3495-505. [PMID: 32269623 DOI: 10.3892/ol.2020.11446] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
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23 Dominguez-Valentin M, Evans DGR, Nakken S, Tubeuf H, Vodak D, Ekstrøm PO, Nissen AM, Morak M, Holinski-Feder E, Martins A, Møller P, Hovig E. Genetic variants of prospectively demonstrated phenocopies in BRCA1/2 kindreds. Hered Cancer Clin Pract 2018;16:4. [PMID: 29371908 DOI: 10.1186/s13053-018-0086-0] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
24 Zhao Y, Zhang W, Yang Y, Dai E, Bai Y. Diagnostic and prognostic value of microRNA-2355-3p and contribution to the progression in lung adenocarcinoma. Bioengineered 2021;12:4747-56. [PMID: 34334103 DOI: 10.1080/21655979.2021.1952367] [Reference Citation Analysis]
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27 Smith NG, Gyanchandani R, Shah OS, Gurda GT, Lucas PC, Hartmaier RJ, Brufsky AM, Puhalla S, Bahreini A, Kota K, Wald AI, Nikiforov YE, Nikiforova MN, Oesterreich S, Lee AV. Targeted mutation detection in breast cancer using MammaSeq™. Breast Cancer Res 2019;21:22. [PMID: 30736836 DOI: 10.1186/s13058-019-1102-7] [Cited by in Crossref: 19] [Cited by in F6Publishing: 13] [Article Influence: 6.3] [Reference Citation Analysis]
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29 Eggermann T, Elbracht M, Kurth I, Juul A, Johannsen TH, Netchine I, Mastorakos G, Johannsson G, Musholt TJ, Zenker M, Prawitt D, Pereira AM, Hiort O; European Reference Network on Rare Endocrine Conditions (ENDO-ERN. Genetic testing in inherited endocrine disorders: joint position paper of the European reference network on rare endocrine conditions (Endo-ERN). Orphanet J Rare Dis 2020;15:144. [PMID: 32513286 DOI: 10.1186/s13023-020-01420-w] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
30 Yang W, Zhou W, Zhao X, Wang X, Duan L, Li Y, Niu L, Chen J, Zhang Y, Han Y, Fan D, Hong L. Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis. Hereditas 2021;158:15. [PMID: 33892811 DOI: 10.1186/s41065-021-00181-1] [Reference Citation Analysis]
31 Zebrowska J, Jezewska-Frackowiak J, Wieczerzak E, Kasprzykowski F, Zylicz-Stachula A, Skowron PM. Novel parameter describing restriction endonucleases: Secondary-Cognate-Specificity and chemical stimulation of TsoI leading to substrate specificity change. Appl Microbiol Biotechnol 2019;103:3439-51. [PMID: 30879089 DOI: 10.1007/s00253-019-09731-0] [Reference Citation Analysis]
32 Fanale D, Pivetti A, Cancelliere D, Spera A, Bono M, Fiorino A, Pedone E, Barraco N, Brando C, Perez A, Guarneri MF, Russo TDB, Vieni S, Guarneri G, Russo A, Bazan V. BRCA1/2 variants of unknown significance in hereditary breast and ovarian cancer (HBOC) syndrome: looking for the hidden meaning. Crit Rev Oncol Hematol 2022;:103626. [PMID: 35150867 DOI: 10.1016/j.critrevonc.2022.103626] [Reference Citation Analysis]
33 Cavic M, Spasic J, Krivokuca A, Boljevic I, Kuburovic M, Radosavljevic D, Jankovic R. TP53 and DNA-repair gene polymorphisms genotyping as a low-cost lung adenocarcinoma screening tool. J Clin Pathol 2019;72:75-80. [PMID: 30467244 DOI: 10.1136/jclinpath-2018-205553] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
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