Reciprocal expression of the immune response genes CXCR3 and IFI44L as module hubs are associated with patient survivals in primary central nervous system lymphoma.

PURPOSE: Here, we investigated expression modules reflecting the reciprocal expression of the cancer microenvironment and immune response-related genes associated with poor prognosis in primary central nervous system lymphoma (PCNSL). METHODS: Weighted gene coexpression network analysis revealed representative modules, including neurogenesis, immune response, anti-virus, microenvironment, gene expression and translation, extracellular matrix, morphogenesis, and cell adhesion in the transcriptome data of 31 PCNSL samples. RESULTS : Gene expression networks were also reflected by protein-protein interaction networks. In particular, some of the hub genes were highly expressed in patients with PCNSL with prognoses as follows: AQP4, SLC1A3, GFAP, CXCL9, CXCL10, GBP2, IFI6, OAS2, IFIT3, DCN, LRP1, and LUM with good prognosis; and STAT1, IFITM3, GZMB, ISG15, LY6E, TGFB1, PLAUR, MMP4, FTH1, PLAU, CSF3R, FGR, POSTN, CCR7, TAS1R3, small ribosomal subunit genes, and collagen type 1/3/4/6 genes with poor prognosis. Furthermore, prognosis prediction formulae were constructed using the Cox proportional-hazards regression model, which demonstrated that the IP-10 receptor gene CXCR3 and type I interferon-induced protein gene IFI44L could predict patient survival in PCNSL. CONCLUSION: These results indicate that the differential expression and balance of immune response and microenvironment genes may be required for PCNSL tumor growth or prognosis prediction, which would help understanding the mechanism of tumorigenesis and potential therapeutic targets in PCNSL.

Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.

Dysregulation of cell morphology and cell-cell interaction results in cancer cell growth, migration, invasion, and metastasis. Besides, a balance between the extracellular matrix (ECM) and matrix metalloprotease (MMP) is required for cancer cell morphology and angiogenesis. Here, we determined gene signatures associated with the morphology and microenvironment of primary central nervous system lymphoma (PCNSL) to enable prognosis prediction. Next-generation sequencing (NGS) on 31 PCNSL samples revealed gene signatures as follows: ACTA2, ACTR10, CAPG, CORO1C, KRT17, and PALLD in cytoskeleton, CDH5, CLSTN1, ITGA10, ITGAX, ITGB7, ITGA8, FAT4, ITGAE, CDH10, ITGAM, ITGB6, and CDH18 in adhesion, COL8A2, FBN1, LAMB3, and LAMA2 in ECM, ADAM22, ADAM28, MMP11, and MMP24 in MMP. Prognosis prediction formulas with the gene expression values and the Cox regression model clearly divided survival curves of the subgroups in each status. Furthermore, collagen genes contributed to gene network formation in glasso, suggesting that the ECM balance controls the PCNSL microenvironment. Finally, the comprehensive balance of morphology and microenvironment enabled prognosis prediction by a combinatorial expression of 8 representative genes, including KRT17, CDH10, CDH18, COL8A2, ADAM22, ADAM28, MMP11, and MMP24. Besides, these genes could also diagnose PCNSL cell types with MTX resistances in vitro. These results would not only facilitate the understanding of biology of PCNSL but also consider targeting pathways for anti-cancer treatment in personalized precision medicine in PCNSL.

GSEA-assisted gene signatures valid for combinations of prognostic markers in PCNSL.

Primary central nervous system lymphoma (PCNSL) is a brain malignant non-Hodgkin's B-cell lymphoma. The standard treatments are high-dose methotrexate (MTX)-based chemotherapies and deferred whole brain radiotherapy. However, MTX resistance-dependent global expression and signaling pathway changes and their relationship with prognoses have not yet been elucidated. Here, we conducted a global expression analysis with next-generation sequencing and gene set enrichment analysis (GSEA) in MTX-resistant PCNSL cell lines (HKBML-MTX and TK-MTX) and PCNSL tissues. In rank scores, genes listed in HKBML-MTX and TK-MTX were enriched in PCNSL with poor prognoses. In fold changes, a part of differentially-expressed genes in PCNSL tissues were also detected in HKBML-MTX and TK-MTX cells; FOXD2-AS1 and MMP19 were commonly expressed in both HKBML-MTX and TK-MTX, FABP5 and CD70 were HKBML-MTX-specifically expressed, and CLCN2, HOXB9, INE1, and LRP5L were TK-MTX-specifically expressed, which may provide a combination of prognostic markers on MTX-sensitivities in PCNSL. Additionally, PCNSL subgroups, divided with hierarchical clustering and Kaplan-Meier methods, included twenty commonly expressed genes in both HKBML-MTX and TK-MTX, ten HKBML-MTX-specifically expressed genes, and two TK-MTX-specifically expressed genes. These results suggest that the GSEA-assisted gene signatures can provide a combination for prognostic markers in recurrent PCNSL with MTX resistances.

Metabolome Analysis Reveals Excessive Glycolysis via PI3K/AKT/mTOR and RAS/MAPK Signaling in Methotrexate-Resistant Primary CNS Lymphoma-Derived Cells.

PURPOSE: Metabolome analysis is an emerging method that provides insight into intracellular and physiologic responses. Methotrexate (MTX) is an antifolate that suppresses DNA syntheses by inhibiting dihydrofolate reductase. High-dose methotrexate treatment with deferred radiotherapy is a standard protocol in primary central nervous system lymphoma (PCNSL) treatments. However, most cases come to relapse-acquired resistance, in which the role of metabolic pathways is largely unknown. EXPERIMENTAL DESIGN: Metabolome analysis in methotrexate-resistant PCNSL-derived cells (designated as TK-MTX and HKBML-MTX) was performed to detect alternative metabolites and pathways. RESULTS: The metabolomic analyses using capillary electrophoresis-time-of-flight mass spectrometry detected 188 and 169 peaks in TK- and HKBML-derived cells, respectively, including suppression of central carbon metabolism, lipid metabolism, nucleic acid metabolism, urea cycle, branched chain and aromatic amino acids, and coenzyme metabolism. Particularly, whole suppressive metabolic pathways were demonstrated in TK-MTX, whereas HKBML-MTX indicated partially enhanced pathways of the urea cycle, amino acid metabolism, and coenzyme metabolism. Reciprocally detected metabolites for glycolysis, including induced glucose and reduced glycogen, and induced lactate and reduced pyruvate, in addition to increased lactate dehydrogenase activity, which is involved in Warburg effect. Thereby, ATP was increased in both methotrexate-resistant PCNSL-derived cells. Furthermore, we specifically found that PI3K/AKT/mTOR and RAS/MAPK signaling pathways were activated in TK-MTX but not in HKBML-MTX by growth rate with inhibitors and gene expression analysis, suggestive of cell type-specific methotrexate-resistant metabolic pathways. CONCLUSIONS: These results can help us understand targeted therapies with selective anticancer drugs in recurrent CNS lymphoma-acquired resistance against methotrexate.

miR-101, miR-548b, miR-554, and miR-1202 are reliable prognosis predictors of the miRNAs associated with cancer immunity in primary central nervous system lymphoma.

MicroRNAs (miRNAs) inhibit protein function by silencing the translation of target mRNAs. However, in primary central nervous system lymphoma (PCNSL), the expression and functions of miRNAs are inadequately known. Here, we examined the expression of 847 miRNAs in 40 PCNSL patients with a microarray and investigated for the miRNA predictors associated with cancer immunity-related genes such as T helper cell type 1/2 (Th-1/Th-2) and regulatory T cell (T-reg) status, and stimulatory and inhibitory checkpoint genes, for prognosis prediction in PCNSL. The aim of this study is to find promising prognosis markers based on the miRNA expression in PCNSL. We detected 334 miRNAs related to 66 cancer immunity-related genes in the microarray profiling. Variable importance measured by the random survival forest analysis and Cox proportional hazards regression model elucidated that 11 miRNAs successfully constitute the survival formulae dividing the Kaplan-Meier curve of the respective PCNSL subgroups. On the other hand, univariate analysis shortlisted 23 miRNAs for overall survival times, with four miRNAs clearly dividing the survival curves-miR-101/548b/554/1202. These miRNAs regulated Th-1/Th-2 status, T-reg cell status, and immune checkpoints. The miRNAs were also associated with gene ontology terms as Ras/MAP-kinase, ubiquitin ligase, PRC2 and acetylation, CDK, and phosphorylation, and several diseases including acquired immunodeficiency syndrome, glioma, and those related to blood and hippocampus with statistical significance. In conclusion, the results demonstrated that the four miRNAs comprising miR-101/548b/554/1202 associated with cancer immunity can be a useful prognostic marker in PCNSL and would help us understand target pathways for PCNSL treatments.

Promising Prognosis Marker Candidates on the Status of Epithelial-Mesenchymal Transition and Glioma Stem Cells in Glioblastoma.

Multivariable analyses of global expression profiling are valid indicators of the prognosis of various diseases including brain cancers. To identify the candidates for markers of prognosis of glioblastoma, we performed multivariable analyses on the status of epithelial (EPI)-mesenchymal (MES) transition (EMT), glioma (GLI) stem cells (GSCs), molecular target therapy (MTT), and potential glioma biomarkers (PGBs) using the expression data and clinical information from patients. Random forest survival and Cox proportional hazards regression analyses indicated significant variable values for DSG3, CLDN1, CDH11, FN1, HDAC3/7, PTEN, L1CAM, OLIG2, TIMP4, IGFBP2, and GFAP. The analyses also comprised prognosis prediction formulae that could distinguish between the survival curves of the glioblastoma patients. In addition to the genes mentioned above, HDAC1, FLT1, EGFR, MGMT, PGF, STAT3, SIRT1, and GADD45A constituted complex genetic interaction networks. The calculated status scores obtained by principal component analysis indicated that GLI genes covered the status of EPI, GSC, and MTT-related genes. Moreover, survival tree analyses indicated that MEShigh, MEShighGLIlow, GSChighGLIlow, MEShighMTTlow, and PGBhigh showed poor prognoses and MESmiddle, GSClow, and PGBlow showed good prognoses, suggesting that enhanced EMT and GSC are associated with poor survival and that lower expression of EPI markers and the pre-stages of EMT are relatively less malignant in glioblastoma. These results demonstrate that the assessment of EMT and GSC enables the prediction of the prognosis of glioblastoma that would help develop novel therapeutics and de novo marker candidates for the prognoses of glioblastoma.

Differential expression of N-linked oligosaccharides in methotrexate-resistant primary central nervous system lymphoma cells.

BACKGROUND: Oligosaccharides of glycoprotein, particularly negatively-charged sialylated N-glycans, on the surface of lymphomas play important roles in cell-cell interactions and bind immunoglobulin-like lectins, causing inflammatory responses and bioregulation. However, their characterizations have largely been unknown in central nervous system (CNS) lymphoma. METHODS: Here, we investigated expression patterns of N-linked oligosaccharides of glycoproteins in cells derived from CNS lymphomas and clinical specimens. RESULTS: We first generated methotrexate (MTX)-resistant cells derived from HKBML and TK as CNS lymphoma, and RAJI as non-CNS lymphoma and determined N-linked oligosaccharide structures in these cells and other non-CNS lymphoma-derived cells including A4/FUK, OYB, and HBL1. Major components of the total oligosaccharides were high-mannose type N-glycans, whose level increased in MTX-resistant HKBML and TK but decreased in MTX-resistant RAJI. We also detected sialylated biantennary galactosylated N-glycans with α1,6-fucosylation, A2G2F, and A2G2FB from HKBML, TK, and RAJI. Sialylated A4G4F was specifically isolated from RAJI. However, the ratios of these sialylated N-glycans slightly decreased against MTX-resistant compared to non-resistant cells. Interestingly, almost all complex-type oligosaccharides were α2,6-sialylated. DISCUSSION: This is the first study for the expression profile of N-oligosaccharides on MTX-resistant primary CNS lymphoma-derived cells HKBML and TK, and tumor tissues resected from patients with CNS lymphoma, CONCLUSION: These results propose a possibility that the differential expression of high-mannose types and sialylated A2G2F, A2G2FB, and A4G4F on the surface of CNS lymphomas may provide a hint for targets for diagnoses and treatments of the oligosaccharide type-specific lymphomas.

Differential expression of individual transcript variants of PD-1 and PD-L2 genes on Th-1/Th-2 status is guaranteed for prognosis prediction in PCNSL.

In current molecular medicine, next-generation sequencing (NGS) for transcript variant detection and multivariable analyses are valid methods for evaluating gene expression, cancer mechanisms, and prognoses of patients. We conducted RNA-sequencing on samples from patients with primary central nervous system lymphoma (PCNSL) using NGS and performed multivariable analysis on gene expression data and correlations focused on Th-1/Th-2 helper T cell balance and immune checkpoint to identify diagnosis/prognosis markers and cancer immune pathways in PCNSL. We selected 84 transcript variants to limit the analysis range for Th-1/Th-2 balance and stimulatory and inhibitory checkpoints in 31 PCNSLs. Of these, 21 highly-expressed transcript variants were composed of the formulas for prognoses based on Th-1/Th-2 status and checkpoint activities. Using formulas, Th-1low, Th-2high, and stimulatory checkpointhigh resulted in poor prognoses. Further, Th-1highTh-2low was associated with good prognoses. On the other hand, CD40-001high and CD70-001high as stimulatory genes, and LAG3-001high, PDCD1 (PD-1)-001/002/003high, and PDCD1LG2 (PD-L2)-201low as inhibitory genes were associated with poor prognoses. Interestingly, Th-1highTh-2low and Th-1lowTh-2high were correlated with stimulatory checkpointlow as CD70-001low and inhibitory checkpointlow as HAVCR2 (TIM-3)-001low and PDCD1LG2-001/201low, respectively. Focused on the inhibitory checkpoint, specific variants of CD274 (PD-L1)-001 and PDCD1-002 served severe hazard ratios. In particular, PDCD1-002high by a cut off score was associated with poor prognoses, in addition to PDCD1-001/003high, PDCD1LG2-201low, and LAG3-001high. These results mainly suggest that expression of transcript variants of PDCD1 and PDCD1LG2 on the Th-1/Th-2 balance enable prognostic prediction in PCNSL. This study provides insights for development of molecular target therapies and identification of diagnosis/prognosis markers in PCNSL.

CD276 and the gene signature composed of GATA3 and LGALS3 enable prognosis prediction of glioblastoma multiforme.

Glioma is the most common type of primary brain tumor, accounting for 40% of malignant brain tumors. Although a single gene may not be a marker, an expression profiling and multivariate analyses for cancer immunotherapy must estimate survival of patients. In this study, we conducted expression profiling of immunotherapy-related genes, including those in Th1/2 helper T and regulatory T cells, and stimulatory and inhibitory checkpoint molecules associated with survival prediction in 571 patients with malignant and aggressive form of gliomas, glioblastoma multiforme (GBM). Expression profiling and Random forests analysis of 21 immunosuppressive genes and Kaplan-Meier analysis in 158 patients in the training data set suggested that CD276, also known as B7-H3, could be a single gene marker candidate. Furthermore, prognosis prediction formulas, composed of Th2 cell-related GATA transcription factor 3 (GATA3) and immunosuppressive galactose-specific lectin 3 (LGALS3), based on 67 immunotherapy-related genes showed poor survival with high scores in training data set, which was also validated in another 413 patients in the test data set. The CD276 expression helped distinguish survival curves in the test data set. In addition, inhibitory checkpoint genes, including T cell immunoreceptor with Ig and ITIM domains, V-set domain containing T cell activation inhibitor 1, T-cell immunoglobulin and mucin-domain containing 3, and tumor necrosis factor receptor superfamily 14, showed potential as secondary marker candidates. These results suggest that CD276 expression and the gene signature composed of GATA3 and LGALS3 are effective for prognosis in GBM and will help us understanding target pathways for immunotherapy in GBM.

Concerns and Returns to Work in Patients with Breast Cancer Receiving Outpatient Chemotherapy: a Pilot Study.

OBJECTIVE: Breast cancer survivors are increasing in number among survivors of all types of cancer, and survivors returning to work are extremely important. The development of outpatient chemotherapy has increased the working population of patients undergoing cancer therapy. Consequently, a significant number of breast cancer survivors experience physical, psychological, and social problems. This study aimed to clarify differences in concerns among patients with breast cancer receiving outpatient chemotherapy according to their employment status. METHODS: Twenty-eight patients with breast cancer undergoing outpatient chemotherapy were recruited. A questionnaire was used to survey the attributes, employment status, and levels of concern in these patients based on the Cancer-chemotherapy Concerns Rating Scale (CCRS). Data from three groups (employed full time, employed part-time, and unemployed) were analyzed using multiple comparison tests. RESULTS: The patients' mean age was (55.1 ± 9.9) years. According to the CCRS findings, the following three parameters differed between the three groups: scores for the items "I always think about my disease" (employed vs. unemployed, P = 0.005) and "I can't work (housework/schoolwork)" (employed full time vs. part time, P = 0.045), and scores for the "self-existence" subscale (employed vs. unemployed, P = 0.024). CONCLUSIONS: This study revealed the characteristics of concerns in patients with breast cancer according to their employment status. Being able to continue working is considered to enhance the social health of these patients. Predicting concerns in employed patients will help gain perspective in early nursing interventions.

Cell-type-specific sensitivity of bortezomib in the methotrexate-resistant primary central nervous system lymphoma cells.

BACKGROUND: Methotrexate (MTX) is used in first-line treatment of primary central nervous system lymphoma (PCNSL), but most cases result in relapse-acquired resistance to MTX. However, only few studies have reported on internal changes and chemotherapies in PCNSL. METHODS: In this study, we generated two MTX-resistant PCNSL cell lines, designated MTX-HKBML and MTX-TK, in addition to a MTX-resistant Burkitt lymphoma cell line, designated MTX-RAJI. We examined gene expression changes and drug sensitivity to a proteasome inhibitor, bortezomib, in these cells. RESULTS: Cytotoxic tests revealed that the 50% inhibitory concentration for MTX in MTX-HKBML is markedly higher than that in the other two cell lines. Expression of the genes in MTX and folate metabolisms, including gamma-glutamyl hydrolase and dihydrofolate reductase, are upregulated in both MTX-HKBML and MTX-TK, whereas the gene expression of folylpolyglutamate synthetase, thymidylate synthase, and methylenetetrahydrofolate dehydrogenase 1 were upregulated and downregulated in MTX-HKBML and MTX-TK, respectively, on the other hand, bortezomib sensitivity was observed in MTX-TK, as compared with control TK, but not in MTX-HKBML. CONCLUSION: These results indicate the cell-type-specific changes downstream of metabolic pathways for MTX and folate, bortezomib sensitivity, and purine and pyrimidine syntheses, in each PCNSL cell line. The MTX-resistant lymphoma cell lines established may be useful for in vitro relapse models for MTX and development of salvage chemotherapy and drug discovery.

MicroRNA signature constituted of miR-30d, miR-93, and miR-181b is a promising prognostic marker in primary central nervous system lymphoma.

MicroRNAs (miRNAs) are small RNA molecules that inhibit gene function by suppressing translation of target genes. However, in primary central nervous system lymphoma (PCNSL), the biological significance of miRNAs is largely unknown, although some miRNAs are known to be prognosis markers. Here, we analyzed 847 miRNAs expressed in 27 PCNSL specimens using microarray profiling and surveyed miRNA signature for prognostic prediction. Of these, 16 miRNAs were expressed in 27 PCNSL specimens at a frequency of 48%. Their variable importance measured by Random forest model revealed miR-192, miR-486, miR-28, miR-52, miR-181b, miR-194, miR-197, miR-93, miR-708, and let-7g as having positive effects; miR-29b-2*, miR-126, and miR-182 as having negative effects; and miR-18a*, miR-425, and miR-30d as neutral. After principal component analysis, the prediction formula for prognosis, consisting of the expression values of the above-mentioned miRNAs, clearly divided Kaplan-Meier survival curves by the calculated Z-score (HR = 6.4566, P = 0.0067). The 16 miRNAs were enriched by gene ontology terms including angiogenesis, cell migration and proliferation, and apoptosis, in addition to signaling pathways including TGF-ß/SMAD, Notch, TNF, and MAPKinase. Their target genes included BCL2-related genes, HMGA2 oncogene, and LIN28B cancer stem cell marker. Furthermore, three miRNAs including miR-181b, miR-30d, and miR-93, selected from the 16 miRNAs, also showed comparable results for survival (HR = 8.9342, P = 0.0007), suggestive of a miRNA signature for prognostic prediction in PCNSL. These results indicate that this miRNA signature is useful for prognostic prediction in PCNSL and would help us understand target pathways for therapies in PCNSL.

Trilateral retinoblastoma: A systematic review of 211 cases.

We conducted a systematic review of 72 studies to characterize trilateral retinoblastomas. Kaplan-Meier analysis was used to estimate survival, and statistical significance was assessed by using a log-rank test. We analyzed 211 cases of trilateral retinoblastomas. The average age of onset of retinoblastoma was 0.79 ± 1.38 years, and the average latency period between the onset of retinoblastomas and trilateral retinoblastomas was 1.49 ± 1.76 years. The brain tumors were found before the retinoblastoma diagnosis in 6 cases (3.1%), concurrently in 61 cases (32.1%), and after the retinoblastoma diagnosis in 123 cases (64.7%). Pineal tumors were found in 155 cases (73.4%) and sellar tumors in 46 cases (21.8%). The overall median survival was 10.3 months (95% CI, 8.5-13) and the 5-year survival rate was 15.7%. Central nervous system symptoms were variable and associated with shorter survival in univariate and multivariate analyses. The survival time in patients who received high-dose chemotherapy with stem cell transplant was significantly longer (p = 0.0067) than that of with or without conventional chemotherapy. Twelve long-term survivors were reported, and of these, six patients were treated with high-dose chemotherapy with stem cell transplant and six patients were treated with conventional chemotherapy. It is important that survivors continue to undergo regular medical surveillance in order to detect trilateral retinoblastoma at a potentially curative stage. Trilateral retinoblastoma patients with an irradiation history had shorter survival than those without irradiation history for retinoblastoma. High-dose chemotherapy should be considered as a potential treatment option for trilateral retinoblastomas.

The expression of PD-1 ligands and IDO1 by macrophage/microglia in primary central nervous system lymphoma.

Recent progress in anti-tumor immunotherapy has focused on the significance of the tumor microenvironment in tumor progression and resistance to chemo/radio-therapy. Myeloid cells such as macrophages are predominant stromal components in hematological malignancies. In the present study, we investigated the regulation of programmed death-1 (PD-1) ligand expression in primary central nervous system lymphoma (PCNSL) using PCNSL cell lines and human monocyte-derived macrophages. TK PCNSL cell line-derived soluble factors induced overexpression of PD-1 ligands, indoleamine 2,3-dioxygenase (IDO1), and several other cytokines in macrophages. The expression of PD-1 ligands was dependent on the activation of signal transducer and activator of transcription 3. PD-L1 and IDO1 were overexpressed by macrophage/microglia in PCNSL tissues, and gene expression profiling indicated that IDO1 expression was positively correlated with the expression of macrophage and lymphocyte markers. Macrophage-derived factors did not influence the proliferation or chemo-sensitivity of cell lines. These data suggest that the expression of immunosuppressive molecules, including PD-1 ligands and IDO1, by macrophage/microglia may be involved in immune evasion of lymphoma cells.

Target amplicon exome-sequencing identifies promising diagnosis and prognostic markers involved in RTK-RAS and PI3K-AKT signaling as central oncopathways in primary central nervous system lymphoma.

Exome-sequencing for somatic mutation detection and copy number variation analysis are effective and valid methods for evaluating human cancers in current molecular medicine. We conducted target amplicon exome-sequencing analyses using PCR target enrichment and next-generation sequencing on Ion Proton semiconductor sequencers. Twenty-seven primary central nervous system lymphoma (PCNSL) specimens and their corresponding noncancerous tissues were used for multiplex PCR amplification to obtain targeted coverages of the entire coding regions of 409 cancer-related genes. The average of the total numbers of somatic mutations including single-nucleotide variations and insertion/deletion mutations in each specimen was 13.3. Of these, the average of the ratios of nonsynonymous substitutions in each specimen was 74.8%. The most frequent mutations in 27 specimens were in PIM1, MYD88, CD79B, DST, IRF4, ERBB3, MYH11, DCC, and KMT2D. Furthermore, somatic mutations of MYH11 were related to poor prognoses in PCNSL patients. Copy number variations were also duplicated and/or deleted from deep-sequencing in segmental genomic islands. In addition to these prognostic marker candidates, analysis of RTK-RAS-MAPK signaling and the PTEN-PI3K-AKT proapoptotic pathway showed that somatic activations and aberrations, respectively, may be involved in a promising central oncopathway harboring mTOR, c-Myc, FOXO1, and p53. This study provides a foundation for molecular targeted therapies based on genome diagnostics and prognosis in PCNSL.

Correlation between lower balance of Th2 helper T-cells and expression of PD-L1/PD-1 axis genes enables prognostic prediction in patients with glioblastoma.

Common cancer treatments include radiation therapy, chemotherapy including molecular targeted drugs and anticancer drugs, and surgical treatment. Recent studies have focused on investigating the mechanisms by which immune cells attack cancer cells and produce immune tolerance-suppressing cytokines, as well as on their potential application in cancer immunotherapy. We conducted expression profiling of CD274 (PD-L1), GATA3, IFNG, IL12R, IL12RB2, IL4, PDCD1 (PD-1), PDCD1LG2 (PD-L2), and TBX21 (T-bet) using data of 158 glioblastoma multiforme (GBM) patients with clinical information available at The Cancer Genome Atlas. Principal component analysis of the expression profiling data was used to derive an equation for evaluating the status of Th1 and Th2 cells. GBM specimens were divided based on the median of the Th scores. The results revealed that Th1HighTh2Low and Th1LowTh2Low statuses indicated better prognosis than Th1HighTh2High, and were evaluated based on the downregulation of PD-L1, PD-L2, and PD-1. Furthermore, Th2Low divided based on the threshold, as well as CD274Low and PDCD1Low, were associated with good prognosis. In the Th2Low subgroup, 14 genes were identified as potential prognostic markers. Of these, SLC11A1Low, TNFRSF1BLow, and LTBRLow also indicated good prognosis. These results suggest that low Th2 balance and low activity of the PD-L1/PD-1 axis predict good prognosis in GBM. The set of genes identified in the present study could reliably predict survival in GBM patients and serve as useful molecular markers. Furthermore, this set of genes could prove to be novel targets for cancer immunotherapy.

Frequency and risk factors for subsyndromal delirium in an intensive care unit.

OBJECTIVE: Delirium and subsyndromal delirium in critically ill patients are important determinants of long-term functional disability and cognitive impairment. However, few outcome studies on sub-syndromal delirium have been reported. Thus, this study aimed to evaluate the incidence of delirium and sub-syndromal delirium as well as the risk factors and progression to delirium. DESIGN: A prospective cohort study. SETTING: Six bed medical and surgical intensive care unit in Otsu Municipal Hospital in Japan. METHODS: Delirium and sub syndromal delirium were evaluated using the Intensive Care Delirium Screening Checklist scores and the demographic data of the patients recorded. Statistical analyses were conducted using the Mann-Whitney U test and chi-square test for comparison. We also compared groups using multivariate analyses. RESULTS: Of the 380 patients who were screened, 15.8% and 33.9% had delirium or sub syndromal delirium, respectively and 9.5% of patients progressed from a state of sub syndromal delirium to delirium. Older age, predisposing cognitive impairment, blood transfusion, higher Acute Physiology and Chronic Health Evaluation II (APACHE II) score, low red blood cell count and high C-reactive protein levels were the risk factors highly associated with subsyndromal delirium symptoms. Older age, acute admission, steroid use, the utilisation of restraints and lower PaO2 were the determinants of progression to delirium. CONCLUSIONS: A high incidence of sub syndromal delirium was observed in critically ill patients. Patient with sub syndromal delirium must be promptly identified and treated due to the risk of progression to delirium.

Radiation-induced gliomas: a comprehensive review and meta-analysis.

By conducting a systemic search of the PubMed database, we performed a comprehensive literature review to characterize secondary gliomas following radiotherapy treatment and to determine the most appropriate treatment strategy. Our analysis included 296 cases of radiation-induced gliomas. The primary lesion was characterized as a hematological malignancy in 104 cases (35.1 %), pituitary adenoma in 35 (11.8 %), craniopharyngioma in 19 (6.4 %), medulloblastoma in 38 (12.8 %), germ cell tumor in 13 (4.3 %), low-grade glioma in 28 (9.4 %), cancer/sarcoma in 12 (4.0 %), scalp region disease in 15 (5.0 %), meningioma/schwannoma in 13 (4.3 %), metastatic brain tumor in 5 (1.6 %), and other types (e.g., arteriovenous malformations and angiomas) in 14 (4.7 %). The average age of onset for primary lesions was 16.0 ± 15.8 years, and the average radiation dose delivered to the primary lesion was 37.6 ± 20.0 Gy. Secondary gliomas could be divided into grade I (1), grade II (32), grade III (88), and grade IV (173) tumors. The median overall survival for all glioma cases was 11 months (95 % confidence interval [CI], 9-12), with a 2-year survival rate of 20.2 %. On multivariate analysis, combined modality treatment and the latency period from the radiotherapy treatment to the glioma diagnosis were variables associated with the overall survival of patients with grade III/IV secondary gliomas. For patients treated with cranial radiotherapy, the risk of secondary glioma incidence warrants a longer follow-up period beyond the standard time frame typically designated for determining the risk of primary tumor relapse. Moreover, combination therapy is a potential treatment option for radiation-induced gliomas.

Programmed Cell Death Ligand 1 Expression in Primary Central Nervous System Lymphomas: A Clinicopathological Study.

BACKGROUND/AIM: Programmed cell death ligand 1 (PD-L1)/programmed cell death 1 (PD-1) have been shown to predict response to PD-L1/PD-1-targeted therapy. We analyzed PD-L1 expression in primary central nervous system lymphomas (PCNSLs). MATERIALS AND METHODS: PD-L1 protein and mRNA expression were evaluated in 64 PCNSL tissue samples. IFN-γ, IL-10, CD4, and CD8 mRNA expression was also evaluated. RESULTS: PD-L1 protein was detected in tumor cells in 2 (4.1%) cases and in tumor microenvironments in 25 (52%) cases. PD-L1 mRNA positively correlated with IFN-γ (p=0.0024) and CD4 (p=0.0005) mRNA expression. IFN-γ mRNA positively correlated with CD8 mRNA expression (p=0.0001). Furthermore, tumor cell PD-L1 expression correlated positively with overall survival (p=0.0177), whereas microenvironmental PD-L1 expression exhibited an insignificant negative trend with overall survival (p=0.188). CONCLUSION: PD-L1 was expressed on both tumor and/or tumor-infiltrating immune cells in PCNSL. The biological roles of this marker warrant further investigation.

Effects and safety of mechanical bathing as a complementary therapy for terminal stage cancer patients from the physiological and psychological perspective: a pilot study.

OBJECTIVE: In palliative care hospitals in Japan, mechanical bathing is conducted to maintain cleanliness. However, the physiological and psychological influence of mechanical bathing on patients has not been sufficiently studied. The objective of this study was to assess, using physiological and psychological indices, the effects of mechanical bathing care for patients in the terminal stage of cancer. METHODS: Mechanical bathing was performed using a Marine Court SB7000 in a supine or semi-seated position. The heart rate variability analysis method was used to measure autonomic nervous system function. The patients' state of anxiety was assessed using the State-Trait Anxiety Inventory (STAI), a psychological index, and patients' verbal responses were also collected after mechanical bathing. RESULTS: Twenty-four patients were enrolled in this study. Their sympathetic and parasympathetic nervous activity did not differ before and after bathing. A significant difference was found between pre- and post-bathing anxiety, as evaluated by STAI (P < 0.0001). In the patient's verbal responses that was collected, the most frequently mentioned descriptors were 'comfortable' and 'relaxed'. Patients were more relaxed after mechanical bathing according to STAI evaluation and their verbal responses. CONCLUSIONS: The findings suggest that the method of bathing used in this study is safe and pain-relieving for terminal stage cancer patients. It is thus possible to provide safe and comfortable care for terminal stage cancer patients using mechanical baths.