Yasuhiko Bando

Proteomic analysis of laser-microdissected paraffin-embedded tissues: (1) Stage-related protein candidates upon non-metastatic lung adenocarcinoma

We used formalin-fixed paraffin-embedded (FFPE) materials for biomarker discovery in cases of lung cancer using proteomic analysis. We conducted a retrospective global proteomic study in order to characterize protein expression reflecting clinical stages of individual patients with stage I lung adenocarcinoma without lymph node involvement (n=7). In addition, we studied more advanced stage IIIA with spread to lymph nodes (n=6), because the degree of lymph node involvement is the most important factor for staging. FFPE sections of cancerous lesions resected surgically from patients with well-characterized clinical history were subjected to laser microdissection (LMD) followed by Liquid Tissue solubilization and digestion trypsin. Spectral counting was used to measure the amounts of proteins identified by shotgun liquid chromatography (LC)/tandem mass spectrometry (MS/MS). More than 500 proteins were identified from IA and IIIA cases, and non-parametric statistics showed that 81 proteins correlated significantly with stage IA or IIIA. A subset of those proteins were verified by multiple-reaction monitoring mass spectrometric quantitation (MRM assay), described in other paper in this issue. These results demonstrated the technical feasibility of a global proteomic study using clinically well documented FFPE sections, and its possible utility for detailed retrospective disease analyses in order to improve therapeutic strategy.

Proteomic analysis of laser-microdissected paraffin-embedded tissues: (2) MRM assay for stage-related proteins upon non-metastatic lung adenocarcinoma

A preceding paper suggested 81 candidates of stage-specifically expressed proteins for either stage IA or IIIA by global shotgun proteomics and spectral counting. Six proteins, a subset of these proteins, were chosen for a further verification study since they are potentially soluble and/or secretory, which nature is convenient for detecting them in blood in clinical practice. The multiple-reaction monitoring (MRM) quantitative analysis suggested that napsin-A and anterior gradient protein 2 homolog (hAG-2) out of the 6 candidates would be useful for determining stage IA or IIIA and are related to metastasis. In the study we noted that stage IIIA patients with better outcome showed napsin-A profiles similar to that of stage IA patients. We therefore examined 14 additional patients for analysis, which contained the IA-stage patients of poorer outcome and the IIIA-stage patients of better outcome. The MRM analysis of napsin-A for all patients suggests that napsin-A contents correlate with better outcome in stage IA. This and discovery studies demonstrate that direct isolation of tumor cells alone by laser microdissection (LMD) greatly reduces complexity on comprehensive analyses, and that MRM mass spectrometry using the endogenous internal standard is a feasible technology for quantitative verification of target proteins in formalin-fixed paraffin embedded (FFPE) tissues.

Purification of phosphoproteins by immobilized metal affinity chromatography and its application to phosphoproteome analysis

Prefractionation procedures facilitate the identification of lower‐abundance proteins in proteome analysis. Here we have optimized the conditions for immobilized metal affinity chromatography (IMAC) to enrich for phosphoproteins. The metal ions, Ga(III), Fe(III), Zn(II), and Al(III), were compared for their abilities to trap phosphoproteins; Ga(III) was the best. Detailed analyses of the pH and ionic strength for IMAC enabled us to determine the optimal conditions (pH 5.5 and 0.5 m NaCl). When whole cell lysates were fractionated in this way, about one‐tenth of the total protein was recovered in the eluate, and the recovery of phosphorylated extracellular signal‐regulated kinase (ERK) was more than 90%. Phosphorylated forms of ribosomal S6 kinase (RSK) and Akt were also enriched efficiently under the same conditions. Our Ga(III) IMAC and a commercially available purification kit for phosphoproteins performed similarly, with a slight difference in the spectrum of phosphoproteins. When phosphoproteins enriched from NIH3T3 cells in which ERK was either activated or suppressed were analyzed by two‐dimensional fluorescence difference gel electrophoresis, phosphorylated ERK was detected as discrete spots unique to ERK‐activated cells, which overlapped with surrounding spots in the absence of prefractionation. We applied the same technique to search for Akt substrates and identified Abelson interactor 1 as a novel potential target. These results demonstrate the efficacy of phosphoprotein enrichment by IMAC and suggest that this procedure will be of general use in phosphoproteome research.

Novel prognostic protein markers of resectable pancreatic cancer identified by coupled shotgun and targeted proteomics using formalin‐fixed paraffin‐embedded tissues

Pancreatic cancer is among the most lethal malignancies worldwide. We aimed to identify novel prognostic markers by applying mass spectrometry (MS)‐based proteomic analysis to formalin‐fixed paraffin‐embedded (FFPE) tissues. Resectable, node positive pancreatic ductal adenocarcinoma (PDAC) with poor (n = 4) and better (n = 4) outcomes, based on survival duration, with essentially the same clinicopathological backgrounds, and noncancerous pancreatic ducts (n = 5) were analyzed. Cancerous and noncancerous cells collected from FFPE tissue sections by laser microdissection (LMD) were processed for liquid chromatography (LC)‐tandem MS (MS/MS). Candidate proteins were identified by semiquantitative comparison and then analyzed quantitatively using selected reaction monitoring (SRM)‐based MS. To confirm the associations between candidate proteins and outcomes, we immunohistochemically analyzed a cohort of 87 cases. In result, totally 1,229 proteins were identified and 170 were selected as candidate proteins for SRM‐based targeted proteomics. Fourteen proteins overexpressed in cancerous as compared to noncancerous tissue showed different expressions in the poor and better outcome groups. Among these proteins, we found that three novel proteins ECH1, OLFM4 and STML2 were overexpressed in poor group than in better group, and that one known protein GTR1 was expressed reciprocally. Kaplan–Meier analysis showed high expressions of all four proteins to correlate with significantly worse overall survival (p < 0.05). In conclusion, we identified four proteins as candidates of prognostic marker of PDAC. The combination of shotgun proteomics verified by SRM and validated by immunohistochemistry resulted in the prognostic marker discovery that will contribute the understanding of PDAC biology and therapeutic development.

Preferential expression of potential markers for cancer stem cells in large cell neuroendocrine carcinoma of the lung. An FFPE proteomic study

BackgroundLarge cell neuroendocrine carcinoma (LCNEC) of the lung, a subtype of large cell carcinoma (LCC), is characterized by neuroendocrine differentiation that small cell lung carcinoma (SCLC) shares. Pre-therapeutic histological distinction between LCNEC and SCLC has so far been problematic, leading to adverse clinical outcome. We started a project establishing protein targets characteristic of LCNEC with a proteomic method using formalin fixed paraffin-embedded (FFPE) tissues, which will help make diagnosis convincing.MethodsCancer cells were collected by laser microdissection from cancer foci in FFPE tissues of LCNEC (n = 4), SCLC (n = 5), and LCC (n = 5) with definite histological diagnosis. Proteins were extracted from the harvested sections, trypsin-digested, and subjected to HPLC/mass spectrometry. Proteins identified by database search were semi-quantified by spectral counting and statistically sorted by pair-wise G-statistics. The results were immunohistochemically verified using a total of 10 cases for each group to confirm proteomic results.ResultsA total of 1981 proteins identified from the three cancer groups were subjected to pair-wise G-test under p < 0.05 and specificity of a proteins expression to LCNEC was checked using a 3D plot with the coordinates comprising G-statistic values for every two group comparisons. We identified four protein candidates preferentially expressed in LCNEC compared with SCLC with convincingly low p-values: aldehyde dehydrogenase 1 family member A1 (AL1A1) (p = 6.1 × 10-4), aldo-keto reductase family 1 members C1 (AK1C1) (p = 9.6x10-10) and C3 (AK1C3) (p = 3.9x10-10) and CD44 antigen (p = 0.021). These p-values were confirmed by non-parametric exact inference tests. Interestingly, all these candidates would belong to cancer stem cell markers. Immunohistochmistry supported proteomic results.ConclusionsThese results suggest that candidate biomarkers of LCNEC were related to cancer stem cells and this proteomic approach via FFPE samples was effective to detect them.

A Clinician View and Experience of Proteomic Studies in the Light of Lung Cancer in Japanese Healthcare

In Japan, rising costs have impacted the framework of maintaining an efficient and effective healthcare system. Today, urgent implementation of programs to address this need have led to a rebuilding of the entire approach of medical evaluation and clinical care. Recent developments in clinical proteomics based on mass spectrometry (MS) for identifying, sequencing, and quantifying disease-relevant protein biomarkers is a promising means for optimal drug prescription using biomarker diagnosis. We illustrate in this report our experience with lung cancer cases with various drug therapies evaluated with proteomics studies.

Full-length transcriptome-based H-InvDB throws a new light on chromosome-centric proteomics.

H-Invitational Database (H-InvDB; http://hinv.jp/ ) is an integrated database of all human genes and transcripts that started in an international collaborative research project for establishing a functional annotation database of human full-length cDNAs. Because H-InvDB contains an abundance of information for human transcripts, including not only well-characterized protein-coding transcripts but also those without experimental evidence at the protein level, this will be a useful information resource for identifying novel and uncharacterized human proteins (so-called missing proteins). By extending predicted protein data in H-InvDB, we developed the H-Inv Extended Protein Database (H-EPD; http://hinv.jp/hinv/h-epd/ ). From now on, we plan to carry out a database-driven proteome research that makes full use of H-EPD to promote discoveries in the current and future C-HPP. Furthermore, we will push forward with the integration of genome, transcriptome, and proteome databases using a unique tool for connecting distributed databases and would like to develop a knowledge discovery system by incorporating data mining tools.

Clinical initiatives linking Japanese and Swedish healthcare resources on cancer studies utilizing Biobank Repositories.

The Tokyo Medical University Hospital in Japan and the Lund University hospital in Sweden have recently initiated a research program with the objective to impact on patient treatment by clinical disease stage characterization (phenotyping), utilizing proteomics sequencing platforms. By sharing clinical experiences, patient treatment principles, and biobank strategies, our respective clinical teams in Japan and Sweden will aid in the development of predictive and drug related protein biomarkers.Data from joint lung cancer studies are presented where protein expression from Neuro- Endocrine lung cancer (LCNEC) phenotype patients can be separated from Small cell- (SCLC) and Large Cell lung cancer (LCC) patients by deep sequencing and spectral counting analysis. LCNEC, a subtype of large cell carcinoma (LCC), is characterized by neuroendocrine differentiation that small cell lung carcinoma (SCLC) shares. Pre-therapeutic histological distinction between LCNEC and SCLC has so far been problematic, leading to adverse clinical outcome. An establishment of protein targets characteristic of LCNEC is quite helpful for decision of optimal therapeutic strategy by diagnosing individual patients. Proteoform annotation and clinical biobanking is part of the HUPO initiative (http://www.hupo.org) within chromosome 10 and chromosome 19 consortia.

A selected reaction monitoring mass spectrometric assessment of biomarker candidates diagnosing large-cell neuroendocrine lung carcinoma by the scaling method using endogenous references

Selected reaction monitoring mass spectrometry (SRM-MS) -based semi-quantitation was performed to assess the validity of 46 selected candidate proteins for specifically diagnosing large-cell neuroendocrine lung carcinoma (LCNEC) and differentiating it from other lung cancer subtypes. The scaling method was applied in this study using specific SRM peak areas (AUCs) derived from the endogenous reference protein that normalizes all SRM AUCs obtained for the candidate proteins. In a screening verification study, we found that seven out of the 46 candidate proteins were statistically significant for the LCNEC phenotype, including 4F2hc cell surface antigen heavy chain (4F2hc/CD98) (p-ANOVA ≤ 0.0012), retinal dehydrogenase 1 (p-ANOVA ≤ 0.0029), apolipoprotein A-I (p-ANOVA ≤ 0.0004), β-enolase (p-ANOVA ≤ 0.0043), creatine kinase B-type (p-ANOVA ≤ 0.0070), and galectin-3-binding protein (p-ANOVA = 0.0080), and phosphatidylethanolamine-binding protein 1 (p-ANOVA ≤ 0.0012). In addition, we also identified candidate proteins specific to the small-cell lung carcinoma (SCLC) subtype. These candidates include brain acid soluble protein 1 (p-ANOVA < 0.0001) and γ-enolase (p-ANOVA ≤ 0.0013). This new relative quantitation-based approach utilizing the scaling method can be applied to assess hundreds of protein candidates obtained from discovery proteomic studies as a first step of the verification phase in biomarker development processes.

Remote ischemic preconditioning protects human neural stem cells from oxidative stress

In previous clinical trials, we showed that remote ischemic preconditioning (rIPC) reduced myocardial damage in children undergoing treatment for congenital heart defects and postoperative renal failure in patients undergoing abdominal aortic aneurysm surgery. In rabbit experiments, pre-treatment with plasma and plasma dialysate (obtained using 15-kDa cut-off dialysis membrane) from donor rabbits subjected to rIPC similarly protected against cardiac infarction. However, the protective substances containing in rIPC plasma have been unknown. In the present study, we showed that rIPC plasma exerted anti-apoptotic and anti-oxidative effects on human neural stem cells under oxygen glucose deprivation (OGD) that mimics brain ischemia. Additionally, we applied the sample to the liquid chromatography integrated with mass spectrometry to identify candidate key molecules in the rIPC plasma and determine its role in protecting neural stem cells from OGD-induced cell death. Thioredoxin increased significantly after rIPC compared to pre-IPC. Pretreatment with thioredoxin, the antioxidant protein, markedly protected human neural stem cells from OGD-induced cell death. The effect of thioredoxin on brain ischemia in animals should be further evaluated. However, the present study first evaluated the effect of rIPC in the ischemic cellular model.