Background: Searching the biomarker from complex heterogeneous material for early detection of disease is a challenging task in the field of biomedical sciences.

Objective: The study has been arranged to explore the proteomics serum derived profiling of the differential expressed and low molecular weight protein in breast cancer patient.

Methods: Quantitative proteome was analyzed using the Nano LC/Mass and Bioinformatics tool.

Results: This quantification yields 239 total protein constituting 29% of differentially expressed protein, with 82% downregulated differential protein and 18% up-regulated differential protein. While 12% of total protein were found to be cancer inducing proteins. Gene Ontology (GO) described that the altered proteins with 0-60 kDa mass in nucleus, cytosol, ER, and mitochondria were abundant that chiefly controlled the RNA, DNA, ATP, Ca ion and receptor bindings.

Conclusion: The study demonstrate that the organelle specific, low molecular weighted proteins are significantly important biomarker. That act as strong agents in the prognosis and diagnosis of breast cancer at early stage.

背景：从复杂的异质材料中搜索生物标记物以进行疾病的早期检测在生物医学科学领域是一项艰巨的任务。

目的：本研究旨在探讨蛋白质组学血清学分析乳腺癌患者差异表达和低分子量蛋白质的过程。

方法：使用纳米液相色谱/质谱和生物信息学工具分析定量蛋白质组。

结果：定量产生了239种总蛋白，占差异表达蛋白的29％，差异蛋白下调了82％，差异蛋白上调了18％。虽然发现总蛋白的12％是癌症诱导蛋白。基因本体论（GO）描述，在细胞核，胞质溶胶，内质网和线粒体中0-60 kDa质量改变的蛋白质丰富，主要控制着RNA，DNA，ATP，Ca离子和受体的结合。

结论：该研究表明细胞器特异性的低分子量蛋白质是重要的生物标志物。在早期乳腺癌的预后和诊断中，它是强力剂。