Proteomic analysis of serum in lung cancer induced by 3-methylcholanthrene

Selective expression of transthyretin in subtypes of lung cancer

Transthyretin (TTR) is expressed primarily in liver, choroid plexus of brain and pancreatic islet A and B cells. It is also synthesized in some endocrine tumors. In the present study, the protein expression of TTR in lung cancer tissues and cell lines was investigated by western blot. The mRNA expression of TTR in 24 pairs of frozen lung cancer tissues was examined by RT-PCR. The specific expression and cellular distribution of TTR were also evaluated in 104 paraffin-embedded lung cancer samples and 3 normal lung tissues by immunohistochemistry. Similarly, the subcellular localization and expression of TTR were further analyzed in lung cancer cell lines. With the exception of mucinous adenocarcinoma, the expression of TTR protein was observed in all tested subtypes of lung carcinoma. Adenocarcinoma displayed the highest positive expression rate of TTR, accounting for 84.4 %, and the positive expression rate of TTR was up to 85.7 % at stages III and IV. The secretory bubbles with strong TTR staining were observed in luminal cells of lung cancer. Furthermore, the localization of TTR in the cytoplasm of lung cancer cells and the secretion of TTR into extracellular milieu were also confirmed. Taken together, TTR is selectively synthesized in lung cancer cells and can be secreted extracellularly.

Analysis of the differences of serum protein mass spectrometry in patients with triple negative breast cancer and non-triple negative breast cancer

The objective of the present study was to investigate differences of serum protein mass spectrometry in patients with triple negative breast cancer (TNBC) and non-TNBC and thus to search for candidate serum protein biomarkers for identification and diagnosis of TNBC. Thirty serum samples from patients with TNBC without any treatment and 30 serum samples from patients with non-TNBC without any treatment were detected by using two-dimensional gel electrophoresis and matrix-assisted laser dissociation tandem time-of-flight mass spectrometry (MALDI-TOF-MS). PDQest 7.0 software of Bio-Rad was adopted to screen differentially expressed proteins. Protein ID retrieval was conducted by using Mascot software to confirm the results of differential proteins. Two-dimensional gel electrophoresis profiles were obtained successfully. A total of 16 differential protein loci were discovered by analyzing patient sera of the two groups using two-dimensional gel electrophoresis analysis software. Ten differential proteins were identified by mass spectrometric analysis in the 16 differential proteins. Combined with database and literature search results, it is speculated that the specifically upregulated proteins and downregulated proteins including transthyretin, haptoglobin, and antitrypsin may be the potential markers for early diagnosis of TNBC. Comparing the TNBC patients with the non-TNBC patients, there are differences in serum protein compositions. The ten differential proteins discovered in the present study provide reference basis for further improving early diagnosis and identification and diagnosis index of TNBC. Especially, transthyretin, haptoglobin, and antitrypsin show dramatic significances for the early diagnosis of TNBC.

Differential proteome profiling of pleural effusions from lung cancer and benign inflammatory disease patients

The pleural effusion proteome has been found containing information that directly reflects pathophysiological status and represents a potential diagnostic value for pulmonary diseases. However, the variability in protein composition between malignant and benign effusions is not well understood. Herein, we investigated the changes of proteins in pleural effusions from lung adenocarcinoma and benign inflammatory disease (pneumonia and tuberculosis) patients by two-dimensional difference gel electrophoresis (2D-DIGE). Twenty-eight protein spots displayed significantly different expression levels were positively identified by MALDI-TOF-MS representing 16 unique proteins. Five identified protein candidates were further validated and analyzed in effusions, sera or tissues. Among them, hemopexin, fibrinogen gamma and transthyretin (TTR) were up-regulated in cancer samples. The effusion concentration of serum amyloid P component (SAP) was significantly lower in lung cancer patients than in benign inflammatory patients, but no differences were found in sera samples. Moreover, a Jumonji C (JmjC)-domain-containing protein, JMJD5, was observed to be down-regulated in malignant effusions, lung cancer tissues and cancer cells. These results shed light on the altered pleural effusion proteins as a useful and important complement to plasma or other routine clinical tests for pulmonary disease diagnosis.

Proteomic technologies for the identification of disease biomarkers in serum: advances and challenges ahead

Serum is an ideal biological sample that contains an archive of information due to the presence of a variety of proteins released by diseased tissue, and serum proteomics has gained considerable interest for the disease biomarker discovery. Easy accessibility and rapid protein changes in response to disease pathogenesis makes serum an attractive sample for clinical research. Despite these advantages, the analysis of serum proteome is very challenging due to the wide dynamic range of proteins, difficulty in finding low-abundance target analytes due to the presence of high-abundance serum proteins, high levels of salts and other interfering compounds, variations among individuals and paucity of reproducibility. Sample preparation introduces pre-analytical variations and poses major challenges to analyze the serum proteome. The label-free detection techniques such as surface plasmon resonance, microcantilever, few nanotechniques and different resonators are rapidly emerging for the analysis of serum proteome and they have exhibited potential to overcome few limitations of the conventional techniques. In this article, we will discuss the current status of serum proteome analysis for the biomarker discovery and address key technological advancements, with a focus on challenges and amenable solutions.