Project description:We aimed to identify the differences between these two subtypes of lung cancers and their differentially clinical treatment. Through functional analysis, we obtained differentially expressed proteins which might be assossciated with lung cancer treatment.
Project description:Reliable identification of cancer markers can have substantial implications to early detection of cancer. We report here an integrated computational and experimental study on identification of gastric cancer markers in patients’ tissue and sera based on (i) genome-scale transcriptomic analyses on 80 paired gastric cancer/reference tissues, with the aim of identifying abnormally expressed genes at various subtypes/stages of gastric carcinoma (ii) a computational identification of differentially expressed genes that may have their proteins secreted into blood circulation, followed by experimental validations.
Project description:Interstitial lung disease (ILD) is a risk factor for lung cancer. Patients with lung cancer associated with ILD (LC-ILD) often appear clinically. During the treatment of LC-ILD, there is a risk of causing acute exacerbation or even death in the treatment of lung cancer. At the same time, combining ILD has become the exclusion criteria for prospective clinical trials of most lung cancers. Therefore, when lung cancer is combined with ILD, it often becomes a difficult point for the treatment of lung cancer. Because LC-ILD patients have a certain proportion in the clinic, it is necessary to explore the best treatment options. Here we review the results of existing clinical studies for reference.
Project description:In depth label free quantitative mass spectrometry based proteomics for identification of potential biomarkers of drug resistance in lung cancer.
Project description:The present study describes a novel xenograft-based biomarker discovery platform and proves its usefulness in the discovery of novel serum markers for prostate cancer (PCa). By immunizing immuno-competent mice with serum from nude mice bearing PCa xenografts, an antibody response against xenograft-derived antigens was elicited. By probing protein microarrays with serum from immunized mice, several PCa-derived antigens were identified, of which a subset was successfully retrieved in serum from mice bearing PCa xenografts and validated in human serum samples of PCa patients. In conclusion, this novel method allows for the identification of low abundant cancer-derived serum proteins, circumventing dynamic range and host-response issues in standard patient cohort proteomics comparisons. To perform a large-scale identification of antibodies generated against human PCa-derived proteins in the serum of immunized mice, sera from mice immunized with either depleted serum, full serum or both from PC346 and PC339-bearing mice as well as preimmune serum and serum from mice immunized with normal mouse serum were incubated onto ProtoArrays. These ProtoArrays contain approximately 8,000 partial and full-length human proteins, expressed as N-terminal glutathione S-transferase (GST) fusion proteins. To detect antibodies bound to spotted proteins, ProtoArrays were developed using a fluorescent labeled secondary antibody. Before being used for immunization, serum from xenografted mice was not treated (full) or depleted for most abundant proteins (depleted). Two arrays were hybridized with pre-immune serum and one array with serum from an immune competent mouse that was immunized with serum from a nude mouse. Six arrays were performed using serum from immune competent mice that were immunized with serum from xenograft-bearing nude mice.