Harubumi Kato

Intractable advanced lung cancer can be treated palliatively with photodynamic therapy (PDT) combined with chemotherapy to remove central and peripheral (lobar or segmental bronchi) bronchial stenosis and obstruction. We present data for 12 (eight men, four women) consecutive patients with 13 advanced non-small cell lung carcinomas in whom curative operations were contraindicated, who underwent PDT combined with chemotherapy for local control of the intraluminal lesions. The mean age was 73.3 years (range, 58–80 years), and the stages of cancer were IIA–IV. The median stenosis rates before treatment, one week post-treatment, and one month post-treatment were 60% (range, 30%–100%), 15% (range, 15%–99%), and 15% (range 15%–60%), respectively. The mean and median survival times were 9.3 and 5.9 months, respectively. The overall 1-year survival rate was 30.0%. No PDT-related morbidity or mortality occurred. In this single-institution study, all patients experienced improved symptoms and quality of life at one week after treatment; furthermore, an objective response was evidenced by the substantial increase in the openings of the bronchial lumen and prevention of obstructive pneumonia. Therefore, PDT with chemotherapy was useful and safe for the treatment of bronchial obstruction.

Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic inflammation of the synovial joints. Early intervention followed by early diagnosis can result in disease remission; however, both early stage diagnosis and provision of effective treatment have been impeded by the heterogeneity of RA, which details of pathological mechanism are unclear. Regardless of numerous investigations of RA by means of genomic and proteomic approaches, proteins interplaying in RA synovial tissues that contain various types of synoviocytes, are not yet sufficiently understood. Hence we have conducted an HPLC/mass spectrometry-based exploratory proteomic analysis focusing on synoviocyte lesions laser-microdissected (LMD) from formalin-fixed paraffin-embedded (FFPE) synovial tissues (RA, n = 15; OA, n = 5), where those of Osteoarthritis (OA) were used as the control. A total of 508 proteins were identified from the RA and OA groups. With the semi-quantitative comparisons, the spectral index (SpI), log2 protein ratio (R SC ) based on spectral counting, and statistical G-test, 98 proteins were found to be significant (pair-wise p < 0.05) to the RA synovial tissues. These include stromelysin-1 (MMP3), proteins S100-A8 and S100-A9, plastin-2, galectin-3, calreticulin, cathepsin Z, HLA-A, HLA-DRB1, ferritin, neutrophil defensin 1, CD14, MMP9 etc. Our results confirmed the involvement of known RA biomarkers such as stromelysin-1 (MMP3) and proteins S100-A8 and S100-A9, and also that of leukocyte antigens such as HLA-DRB1. Network analyses of protein–protein interaction for those proteins significant to RA revealed a dominant participation of ribosome pathway (p = 5.91 × 10−45), and, interestingly, the associations of the p53 signaling (p = 2.34 × 10−5). An involvement of proteins including CD14, S100-A8/S100-A9 seems to suggest an activation of the NF-kB/MAPK signaling pathway. Our strategy of laser-microdissected FFPE-tissue proteomic analysis in Rheumatoid Arthritis thus demonstrated its technical feasibility in profiling proteins expressed in synovial tissues, which may play important roles in the RA pathogenesis.

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.

The diagnosis of lung cancer was significantly enhanced by the development of the fiberoptic bronchoscope in 1965. Since then, advances in photosensitizers and light sources have brought photodynamic medicine into the light. This article offers an historic overview of the emergence of photodynamic medicine through the perspective of a pioneer with more than 30 years’ experience. Along with a discussion of photodynamic diagnosis of lung cancers via optical coherence tomography, the curative, palliative, and neoadjuvant roles of photodynamic therapy for early and advanced lung cancers are explored. An emerging strategy of using PDM to treat peripheral early-stage lung tumors is briefly discussed.

Large 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. Cancer 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. A 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 protein's 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. These 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.