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1Academic Journal
المؤلفون: Yu-Sun Lee, Jieun Im, Yeji Yang, Hea Ji Lee, Mi Rim Lee, Sang-Myung Woo, Sang-Jae Park, Sun-Young Kong, Jin Young Kim, Heeyoun Hwang, Yun-Hee Kim
مصطلحات موضوعية: Biochemistry, Medicine, Cell Biology, Genetics, Molecular Biology, Cancer, Chemical Sciences not elsewhere classified, proteomic analysis revealed, new function annotation, extensive proteomic research, dismal prognosis due, lc – ms, overexpressing cells increased, ms data, cells derived, cancer cells, unconventional approach, rich 2, ranked high, pxd045646 ), primary tumors, pancreatic cancer, opposite effect, novel role, molecular targets, metastatic tissues, metastatic ability, higher expression, first demonstration, diagnostic markers
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2Academic Journal
المؤلفون: Mario Preti, John Charles Rotondo, Dana Holzinger, Leonardo Micheletti, Niccolò Gallio, Sandrine McKay-Chopin, Christine Carreira, Sebastiana Silvana Privitera, Reiko Watanabe, Ruediger Ridder, Michael Pawlita, Chiara Benedetto, Massimo Tommasino, Tarik Gheit
المصدر: Infectious Agents and Cancer, Vol 15, Iss 1, Pp 1-8 (2020)
مصطلحات موضوعية: Cancer, Human papillomavirus, Lymph node metastatic tissues, Vulvar squamous cell carcinoma, Multiple markers of viral infections, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282, Infectious and parasitic diseases, RC109-216
وصف الملف: electronic resource
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3Academic Journal
المساهمون: Park, Byeong Woo
مصطلحات موضوعية: C-erbB-2 is one of the most well known oncogenes in human malignant tumors and it is expressed about 8~20% in gastric carcinoma. But there is still controversy about the correlation between the c-erbB-2 overexpression and the prognosis of the gastric carcinoma. So we studied the prognostic value of the c-erbB-2 overexpression by comparing the c-erbB-2 overexpression and known prognostic factors of the gastric carcinoma. With single cell suspensions of normal gastric mucosa, primary gastric cancer tissues and malignant cells from ascites arised from gastric carcinomas, the immunoreactivity to c-erbB-2 protein was examined. The results were as follows, 1) The c-erbB-2 protein was expressed only in cancer cells not in cells from normal mucosa. The expression frequency is significantly higher in metastatic tissues(malignant ascites)than those of primary sites. 2) The c-erbB-2 expression discrepancy between differentiated carcinomas and poorly differentiated carcinomas was not significant but these were significantly higher than that in signet ring cell carcinomas. 3) The c-erbB-2 expression frequency was significantly higher in serosal invasive carcinomas than that in serosal non-invasive carcinomas. 4) The c.erbB-2 expression frequency was significantly higher in tumor sizes of larger than 3 cm in diameter than that of less than 3 cm. 5) There were no statistically significant discrepancy along with the lymph node metastasis and stages, but the more lymph nodes metastasis end the higher stages, the more c-erbB-2 ex.pression was noted. These results suggest that the c-erbB-2 overexpression is associated with aggressive cancer biologic behavior.
Relation: JOURNAL OF THE KOREAN SURGICAL SOCIETY (대한외과학회지); J01893; OAK-1995-00835; https://ir.ymlib.yonsei.ac.kr/handle/22282913/186647; T199502132; Journal of the Korean Surgical Society (대한외과학회지), Vol.48(2) : 189-198, 1995-02
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4NMR-Based Mitochondria Metabolomic Profiling: A New Approach To Reveal Cancer-Associated Alterations
المؤلفون: Inés Domingo-Ortí, Patricia Ferrer-Torres, Ana Armiñán, María J. Vicent, Antonio Pineda-Lucena, Martina Palomino-Schätzlein
مصطلحات موضوعية: Biochemistry, Medicine, Cell Biology, Genetics, Physiology, Cancer, Computational Biology, Environmental Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, nuclear magnetic resonance, based metabolomics represents, analyzing isolated organelles, specific amino acids, new advanced therapies, altered metabolic fingerprint, metabolically profile mitochondria, lung mitochondria exhibit, dysfunctional mitochondrial activity, metastatic breast cancer, organic acids, new approach, metastatic tissues, metabolic analysis, various diseases, robust analysis, reveal cancer, related diseases, refined approach, powerful method, optimized methodology