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通过在乳腺液分泌组中寻找可靠的蛋白质癌症生物标志物来解决乳腺癌异质性。

Resolving breast cancer heterogeneity by searching reliable protein cancer biomarkers in the breast fluid secretome.

机构信息

Department of Biomolecular Sciences, Section of Clinical Biochemistry and Cell Biology, University Carlo Bo, Urbino, Italy.

出版信息

BMC Cancer. 2013 Jul 12;13:344. doi: 10.1186/1471-2407-13-344.

Abstract

BACKGROUND

One of the major goals in cancer research is to find and evaluate the early presence of biomarkers in human fluids and tissues. To resolve the complex cell heterogeneity of a tumor mass, it will be useful to characterize the intricate biomolecular composition of tumor microenvironment (the so called cancer secretome), validating secreted proteins as early biomarkers of cancer initiation and progression. This approach is not broadly applicable because of the paucity of well validated and FDA-approved biomarkers and because most of the candidate biomarkers are mainly organ-specific rather than tumor-specific. For these reasons, there is an urgent need to identify and validate a panel of biomarker combinations for early detection of human tumors. This is especially important for breast cancer, the cancer spread most worldwide among women. It is well known that patients with early diagnosed breast cancer live longer, require less extensive treatment and fare better than patients with more aggressive and/or advanced disease.

RESULTS

In the frame of searching breast cancer biomarkers (especially using nipple aspirate fluid mirroring breast microenvironment), studies have highlighted an optimal combination of well-known biomarkers: uPA + PAI-1 + TF. When individually investigated they did not show perfect accuracy in predicting the presence of breast cancer, whereas the triple combination has been demonstrated to be highly predictive of pre-cancer and/or cancerous conditions, approaching 97-100% accuracy.

CONCLUSION

Despite the heterogeneous composition of breast cancer and the difficulties to find specific breast cancer biomolecules, the noninvasive analysis of the nipple aspirate fluid secretome may significantly improve the discovery of promising biomarkers, helping also the differentiation among benign and invasive breast diseases, opening new frontiers in early oncoproteomics.

摘要

背景

癌症研究的主要目标之一是在人体液体和组织中寻找和评估早期生物标志物。为了解决肿瘤组织中复杂的细胞异质性,对肿瘤微环境(所谓的癌症分泌组)的复杂生物分子组成进行特征描述,将有助于验证分泌蛋白作为癌症发生和进展的早期生物标志物。由于缺乏经过充分验证和 FDA 批准的生物标志物,并且大多数候选生物标志物主要是器官特异性而不是肿瘤特异性,因此这种方法并不能广泛应用。出于这些原因,迫切需要识别和验证一组生物标志物组合,以用于早期检测人类肿瘤。这对于乳腺癌尤为重要,乳腺癌是全世界女性中最常见的癌症。众所周知,早期诊断的乳腺癌患者的寿命更长,需要的治疗范围更小,预后比更具侵袭性和/或晚期疾病的患者更好。

结果

在寻找乳腺癌生物标志物(特别是使用乳头吸出液反映乳腺微环境)的研究中,突出了一组众所周知的生物标志物的最佳组合:uPA+PAI-1+TF。当单独研究时,它们并不能在预测乳腺癌的存在方面显示出完美的准确性,而三重组合已被证明在预测癌前和/或癌症状况方面具有高度的预测性,准确率接近 97-100%。

结论

尽管乳腺癌的组成异质,并且很难找到特定的乳腺癌生物分子,但乳头吸出液分泌组的非侵入性分析可能会显著提高有前途的生物标志物的发现,还有助于良性和侵袭性乳腺疾病的区分,为早期癌蛋白质组学开辟了新的前沿。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/17e0/3721990/0ab5d0535cba/1471-2407-13-344-1.jpg

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