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与原发性肺癌组织病理学分化相关的多肽的检测

Detection of polypeptides associated with the histopathological differentiation of primary lung carcinoma.

作者信息

Hirano T, Franzén B, Uryu K, Okuzawa K, Alaiya A A, Vanky F, Rodrigues L, Ebihara Y, Kato H, Auer G

机构信息

Department of Surgery, Tokyo Medical College, Japan.

出版信息

Br J Cancer. 1995 Oct;72(4):840-8. doi: 10.1038/bjc.1995.422.

Abstract

Two-dimensional polyacrylamide gel electrophoresis combined with a non-enzymatic sample preparation technique is useful for analysing clinical tumour material. Using these techniques, we analysed the relationship between the histopathological findings in primary lung malignancies and the expression of a number of unidentified polypeptides that were detected in the molecular weight region 20-35 kDa. In this study 45 cases of primary lung cancer (PLC) (21 cases of adenocarcinoma, ten cases of squamous cell carcinoma, five cases of large-cell carcinoma, one case of adenosquamous cell carcinoma, five cases of small-cell carcinoma and three cases of carcinoid tumour) were examined. For reference, a human diploid fibroblast cell line (W138) and normal peripheral lymphocytes were used. Sixteen polypeptides were judged to be associated with histopathological features. These polypeptides seem to be valuable as differentiation markers. The simultaneous evaluation of these polypeptides and some other proliferation markers (e.g. PCNA, PCNA 'satellite', Numatin/protein B23 and lamin B) seems to clarify the characteristics of each case of PLC. Furthermore, it is possible to classify PLC based on the two-dimensional electrophoresis findings, and this classification of PLC is suggested to reflect the biological features of the tumour more precisely than that based only on morphology.

摘要

二维聚丙烯酰胺凝胶电泳结合非酶样品制备技术对于分析临床肿瘤材料很有用。使用这些技术,我们分析了原发性肺恶性肿瘤的组织病理学发现与在分子量20 - 35 kDa区域检测到的多种未鉴定多肽表达之间的关系。在本研究中,检查了45例原发性肺癌(PLC)(21例腺癌、10例鳞状细胞癌、5例大细胞癌、1例腺鳞癌、5例小细胞癌和3例类癌肿瘤)。作为对照,使用了人二倍体成纤维细胞系(W138)和正常外周淋巴细胞。16种多肽被判定与组织病理学特征相关。这些多肽似乎可作为有价值的分化标志物。同时评估这些多肽和一些其他增殖标志物(如PCNA、PCNA“卫星”、Numatin/蛋白B23和层粘连蛋白B)似乎可以阐明每例PLC的特征。此外,基于二维电泳结果对PLC进行分类是可能的,并且建议这种PLC分类比仅基于形态学的分类更准确地反映肿瘤的生物学特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/706c/2034017/67d1d5e91a5a/brjcancer00044-0042-a.jpg

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