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For: Kawahara R, Bollinger JG, Rivera C, Ribeiro AC, Brandão TB, Paes Leme AF, MacCoss MJ. A targeted proteomic strategy for the measurement of oral cancer candidate biomarkers in human saliva. Proteomics 2016;16:159-73. [PMID: 26552850 DOI: 10.1002/pmic.201500224] [Cited by in Crossref: 42] [Cited by in F6Publishing: 39] [Article Influence: 6.0] [Reference Citation Analysis]
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9 Carnielli CM, Macedo CCS, De Rossi T, Granato DC, Rivera C, Domingues RR, Pauletti BA, Yokoo S, Heberle H, Busso-Lopes AF, Cervigne NK, Sawazaki-Calone I, Meirelles GV, Marchi FA, Telles GP, Minghim R, Ribeiro ACP, Brandão TB, de Castro G Jr, González-Arriagada WA, Gomes A, Penteado F, Santos-Silva AR, Lopes MA, Rodrigues PC, Sundquist E, Salo T, da Silva SD, Alaoui-Jamali MA, Graner E, Fox JW, Coletta RD, Paes Leme AF. Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer. Nat Commun 2018;9:3598. [PMID: 30185791 DOI: 10.1038/s41467-018-05696-2] [Cited by in Crossref: 53] [Cited by in F6Publishing: 48] [Article Influence: 13.3] [Reference Citation Analysis]
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11 Ortega-Bernal D, La Rosa CHG, Arechaga-Ocampo E, Alvarez-Avitia MA, Moreno NS, Rangel-Escareño C. A meta-analysis of transcriptome datasets characterizes malignant transformation from melanocytes and nevi to melanoma. Oncol Lett 2018;16:1899-911. [PMID: 30008882 DOI: 10.3892/ol.2018.8861] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 0.3] [Reference Citation Analysis]
12 Lin YH, Eguez RV, Torralba MG, Singh H, Golusinski P, Golusinski W, Masternak M, Nelson KE, Freire M, Yu Y. Self-Assembled STrap for Global Proteomics and Salivary Biomarker Discovery. J Proteome Res 2019;18:1907-15. [PMID: 30848925 DOI: 10.1021/acs.jproteome.9b00037] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 5.0] [Reference Citation Analysis]
13 Geng F, Wang Q, Li C, Liu J, Zhang D, Zhang S, Pan Y. Identification of Potential Candidate Genes of Oral Cancer in Response to Chronic Infection With Porphyromonas gingivalis Using Bioinformatical Analyses. Front Oncol 2019;9:91. [PMID: 30847302 DOI: 10.3389/fonc.2019.00091] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 4.0] [Reference Citation Analysis]
14 Tang XZ, Zhou XG, Zhang XG, Li GS, Chen G, Dang YW, Huang ZG, Li MX, Liang Y, Yao YX, Chen XY, Rong MH, Huang SN. The clinical significance of interleukin 24 and its potential molecular mechanism in laryngeal squamous cell carcinoma. Cancer Biomark 2020;29:111-24. [PMID: 32623386 DOI: 10.3233/CBM-201441] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
15 Neves LX, Granato DC, Busso-Lopes AF, Carnielli CM, Patroni FMS, De Rossi T, Oliveira AK, Ribeiro ACP, Brandão TB, Rodrigues AN, Lacerda PA, Uno M, Cervigne NK, Santos-Silva AR, Kowalski LP, Lopes MA, Paes Leme AF. Peptidomics-Driven Strategy Reveals Peptides and Predicted Proteases Associated With Oral Cancer Prognosis. Mol Cell Proteomics 2020;20:100004. [PMID: 33578082 DOI: 10.1074/mcp.RA120.002227] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
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17 Kim HR, Park JS, Karabulut H, Yasmin F, Jun CD. Transgelin-2: A Double-Edged Sword in Immunity and Cancer Metastasis. Front Cell Dev Biol 2021;9:606149. [PMID: 33898417 DOI: 10.3389/fcell.2021.606149] [Reference Citation Analysis]
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19 Kulyyassov A, Fresnais M, Longuespée R. Targeted liquid chromatography-tandem mass spectrometry analysis of proteins: Basic principles, applications, and perspectives. Proteomics 2021;:e2100153. [PMID: 34591362 DOI: 10.1002/pmic.202100153] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Sebald K, Dunkel A, Hofmann T. Mapping Taste-Relevant Food Peptidomes by Means of Sequential Window Acquisition of All Theoretical Fragment Ion-Mass Spectrometry. J Agric Food Chem 2020;68:10287-98. [PMID: 31508943 DOI: 10.1021/acs.jafc.9b04581] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
21 Huang M, Darvas M, Keene CD, Wang Y. Targeted Quantitative Proteomic Approach for High-Throughput Quantitative Profiling of Small GTPases in Brain Tissues of Alzheimer's Disease Patients. Anal Chem 2019;91:12307-14. [PMID: 31460748 DOI: 10.1021/acs.analchem.9b02485] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
22 Fonseca FP, Macedo CCS, Dos Santos Costa SF, Leme AFP, Rodrigues RR, Pontes HAR, Altemani A, van Heerden WFP, Martins MD, de Almeida OP, Santos-Silva AR, Lopes MA, Vargas PA. Mass spectrometry-based proteome profile may be useful to differentiate adenoid cystic carcinoma from polymorphous adenocarcinoma of salivary glands. Oral Surg Oral Med Oral Pathol Oral Radiol 2019;128:639-50. [PMID: 31494112 DOI: 10.1016/j.oooo.2019.07.016] [Reference Citation Analysis]
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25 Marín‐vicente C, Mendes M, los Ríos V, Fernández‐aceñero MJ, Casal JI. Identification and Validation of Stage‐Associated Serum Biomarkers in Colorectal Cancer Using MS‐Based Procedures. Prot Clin Appl 2019;14:1900052. [DOI: 10.1002/prca.201900052] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
26 Huang M, Wang Y. Roles of Small GTPases in Acquired Tamoxifen Resistance in MCF-7 Cells Revealed by Targeted, Quantitative Proteomic Analysis. Anal Chem 2018;90:14551-60. [PMID: 30431262 DOI: 10.1021/acs.analchem.8b04526] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
27 Boroumand M, Olianas A, Cabras T, Manconi B, Fanni D, Faa G, Desiderio C, Messana I, Castagnola M. Saliva, a bodily fluid with recognized and potential diagnostic applications. J Sep Sci 2021. [PMID: 34350708 DOI: 10.1002/jssc.202100384] [Reference Citation Analysis]
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31 Kaur K, Chang HH, Cook J, Eibl G, Jewett A. Suppression of Gingival NK Cells in Precancerous and Cancerous Stages of Pancreatic Cancer in KC and BLT-Humanized Mice. Front Immunol 2017;8:1606. [PMID: 29255459 DOI: 10.3389/fimmu.2017.01606] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
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