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Systemic chronic active Epstein-Barr virus (CAEBV) disease is presumed to be caused by abnormal immunity toward EBV; however, its biological mechanism remains unknown. We investigated invasive immune-cell gene and EBV gene expressions in systemic CAEBV disease by comparing EBV-positive T-/NK-cell lymphomas (extranodal NK-/T-cell lymphoma [ENKTL] and EBV-positive nodal T- and NK-cell lymphoma [EBV-N-TNKL]). Gene expression profiling revealed a correlation between the expression levels of follicular helper T (Tfh)-cell and B-cell genes in systemic CAEBV disease. When we divided the patients into two groups according to the number of B-cells by immunohistochemistry, the B-cell high-count group showed a poorer prognosis than the low-count group. Additionally, the high-count group had higher EBV gene levels and EBV-positive B-cell counts than the low-count group. These results suggest that the clinical symptoms may be explained by the expansion of EBV-positive B-cells, resulting in a poor prognosis. Differential gene expression analysis revealed that systemic CAEBV disease exhibited more diverse gene expression levels than ENKTL and EBV-N-TNKL. The most significant variable genes were identified as novel distinguishing markers for systemic CAEBV disease. In conclusion, Tfh-cell and B-cell gene expression and diverse gene expression levels may correlate with unique clinical symptoms and prognosis in systemic CAEBV disease.

Introduction Chromosomal instability, the cell condition in which chromosome mis-segregation occur at a high frequency during cell division, has been considered to be involved in the molecular mechanisms that give rise to the complex genetic background of glioma. However, most of this phenomenon has been based on researches using cell line, and there have been few studies of chromosomal instability in clinical specimens of gliomas. Methods Primary cell culture was obtained from 11 glioma specimens (eight Glioblastoma (GBM), one Anaplastic PXA (aPXA), one Astrocytoma, and one Ependymoma), which was removed at our hospital, and chromosomes of up to five cells per case were analyzed by the SKY method. Chromosome instability was quantified by two parameters, one was AS (Aneuploidy score), which means the number of gain or loss of whole of the chromosome, and the other was SS: Structural abnormality score, which means the number of chromosome structural abnormality per cell. In addition, the phenotypes, which were characteristic of chromosomal instability were observed individually. Results Each quantitative value was as follows: GBM; AS:2.30±0.51 /SS:1.64±0.38, aPXA; AS :1.40±1.33 / SS:8.20±0.99, Astrocytoma and Ependymoma; AS:0.00 /SS:0.00, suggesting that chromosomal instability was associated with GBM and aPXA. Chromosome 7 amplification was most frequent in GBM (57%), and Mosaic loss of chromosome Y was also observed in 60% of males. Some characteristic karyotypes which suggest the phenomenon of Chromothripsis or Double minute were also observed. The karyotype concordance rate in the cases with p53 mutation was 60%, and that with p53 wild type was 100%, indicating that the p53 mutation increased the genotype heterogeneity in the same specimen. Discussion In clinical specimens of gliomas, aneuploidy and structural abnormalities were identified in GBM and aPXA, suggesting that chromosomal instability contributes to their cellular phenotype and malignancy.

In the present study, we propose a novel case-based similar image retrieval (SIR) method for hematoxylin and eosin (H&E)-stained histopathological images of malignant lymphoma. When a whole slide image (WSI) is used as an input query, it is desirable to be able to retrieve similar cases by focusing on image patches in pathologically important regions such as tumor cells. To address this problem, we employ attention-based multiple instance learning, which enables us to focus on tumor-specific regions when the similarity between cases is computed. Moreover, we employ contrastive distance metric learning to incorporate immunohistochemical (IHC) staining patterns as useful supervised information for defining appropriate similarity between heterogeneous malignant lymphoma cases. In the experiment with 249 malignant lymphoma patients, we confirmed that the proposed method exhibited higher evaluation measures than the baseline case-based SIR methods. Furthermore, the subjective evaluation by pathologists revealed that our similarity measure using IHC staining patterns is appropriate for representing the similarity of H&E-stained tissue images for malignant lymphoma.

Purpose Most meningiomas, which are frequent central nervous system tumors, are classified as WHO grade 1 because of their slow growing nature. However, the recurrence rate varies and is difficult to predict using conventional histopathological diagnoses. Leucine-rich α-2 glycoprotein 1 (LRG1) is involved in cell signal transduction, cell adhesion, and DNA repair and is a predictive biomarker in different malignant tumors; however, such a relationship has not been reported in meningiomas. Methods/patients We examined tissue microarrays of histological samples from 121 patients with grade I and grade II meningiomas and assessed their clinical and pathological features, including expression of LRG1 protein. Results LRG1-high meningiomas showed increased number of vessels with CD3 positive cell infiltration (p=0.0453) as well as higher CD105 positive vessels (p=0.0041), as compared to LRG1-low cases. They also demonstrated better progression-free survival [hazard ratio (HR) 0.24, 95 % confidence interval (CI) 0.056-0.99] compared to LRG1-low patients (p=0.0317). Moreover, multivariate analysis indicated that high LRG1 expression was an independent prognostic factor (HR, 0.22; CI, 0.05-0.95; p=0.0426). Conclusions LRG1 immunohistochemistry may be a convenient tool for estimating the prognosis of meningiomas in routine practice. Further studies are required to elucidate the key role of LRG1 in meningioma progression.

Transforming acidic coiled-coil-containing protein 3 (TACC3) plays an important role in centrosome/microtubule dynamics. Deregulation of centrosomes/microtubules causes mitotic spindle defects, leading to tumorigenesis. However, the correlation between TACC3 and primary central nervous system lymphomas (PCNSLs) is unknown. The present study investigated the association between the immunohistochemical expression of TACC3, p53, and Ki-67, and the clinical factors in 40 PCNSLs. We evaluated the staining of TACC3 based on the histoscore (H-score) that contains a semiquantitative evaluation of both the intensity of staining, and the percentage of positive cells. Expression level of each component was classified as low or high according to the median H-score value. Patients with PCNSLs were divided into groups depending on TACC3 expression levels (no expression and low expression, 18; high expression, 22). Disease-free survival and overall survival of patients with high TACC3 expression were significantly shorter (p 0.01 and p 0.05, respectively). These results suggest that elevated expression of TACC3 could reflects aggressiveness of primary central nervous system lymphomas.

A pathological evaluation is one of the most important methods for the diagnosis of malignant lymphoma. A standardized diagnosis is occasionally difficult to achieve even by experienced hematopathologists. Therefore, established procedures including a computer-aided diagnosis are desired. This study aims to classify histopathological images of malignant lymphomas through deep learning, which is a computer algorithm and type of artificial intelligence (AI) technology. We prepared hematoxylin and eosin (H&E) slides of a lesion area from 388 sections, namely, 259 with diffuse large B-cell lymphoma, 89 with follicular lymphoma, and 40 with reactive lymphoid hyperplasia, and created whole slide images (WSIs) using a whole slide system. WSI was annotated in the lesion area by experienced hematopathologists. Image patches were cropped from the WSI to train and evaluate the classifiers. Image patches at magnifications of ×5, ×20, and ×40 were randomly divided into a test set and a training and evaluation set. The classifier was assessed using the test set through a cross-validation after training. The classifier achieved the highest levels of accuracy of 94.0%, 93.0%, and 92.0% for image patches with magnifications of ×5, ×20, and ×40, respectively, in comparison to diffuse large B-cell lymphoma, follicular lymphoma, and reactive lymphoid hyperplasia. Comparing the diagnostic accuracies between the proposed classifier and seven pathologists, including experienced hematopathologists, using the test set made up of image patches with magnifications of ×5, ×20, and ×40, the best accuracy demonstrated by the classifier was 97.0%, whereas the average accuracy achieved by the pathologists using WSIs was 76.0%, with the highest accuracy reaching 83.3%. In conclusion, the neural classifier can outperform pathologists in a morphological evaluation. These results suggest that the AI system can potentially support the diagnosis of malignant lymphoma.

INTRODUCTION Adult T-cell leukemia/lymphoma (ATLL) is a malignant peripheral T-cell neoplasm associated with human T-cell leukemia virus type-1 (HTLV-1). The acute and lymphoma subtypes are regarded as aggressive ATLLs, and the overall survival (OS) of patients remains poor. Transforming acidic coiled-coil-containing protein 3 (TACC3) regulates microtubules, which are associated with cancer-related proteins overexpressed in various cancers. Such a relationship has not been reported in hematopoietic tumors, including ATLL. METHODS We examined tissue microarrays of histological samples from 92 cases of aggressive ATLL and assessed clinical features, including TACC3 protein expression levels. RESULTS Compared with TACC3-low, TACC3-high ATLL patients were significantly older (P

Acute or lymphomatous type adult T cell leukemia/lymphoma (ATLL) is an aggressive hematopoietic malignancy with poor prognosis. We previously reported that programmed cell death ligand 1 (PD-L1) expression could predict ATLL outcomes. However, the roles of other immune checkpoint molecules remain largely unknown in ATLL. Our aim in this study was to explore the clinicopathological impacts of immune checkpoint molecules in ATLL. Immunohistochemistry was performed in 69 ATLL patients with antibodies against the following: PD-L1, programmed cell death ligand 2 (PD-L2), OX40, OX40 ligand (OX40L), CD137, CD137 ligand (CD137L), Galectin-9, T cell immunoglobulin mucin-3 (Tim-3), cytotoxic T lymphocyte associated protein-4 (CTLA-4), lymphocyte activating-3 (LAG-3), CD80, CD86, glucocorticoid-induced tumor necrosis factor receptor-related protein (GITR), GITR ligand (GITRL), and programmed death-1 (PD-1). Immune checkpoint molecules were variably expressed on neoplastic and/or microenvironmental cells. Expression of PD-1, OX40L, Galectin-9, and PD-L1 was nearly mutually exclusive on neoplastic cells, suggesting that immune checkpoint pathways differ in patients. Microenvironmental expression of PD-L1, OX40L, and Tim-3 was significantly associated with better overall survival (log-rank test; P =0.0004, 0.0394, and 0.0279, respectively). Univariate and multivariate analyses with clinical prognostic factors identified microenvironmental expression of PD-L1 and OX40L, and age (> 70 years) as significant prognostic factors. This is the first comprehensive analysis of ATLL immune checkpoint molecules. Our results may provide information on new therapeutic strategies in ATLL.

CD37 is a tetraspanin protein expressed in various B-cell lymphomas that mediates tumor survival signaling. Follicular lymphoma (FL) is a representative B-cell neoplasm composed of germinal center B cells. In recent years, CD37 has been focused on as a therapeutic target for B-cell lymphoma. The purpose of this study was to characterize CD37 expression in FL patients to identify risk factors associated with various prognostic factors. We retrospectively reviewed 167 cases of FL and evaluated the immunohistochemical expression of CD37 and its statistical association with clinicopathological features. Immunohistochemically, CD37 was observed in the cytoplasm and/or membrane of neoplastic cells, mainly in neoplastic follicles to various extents. One hundred cases (100/167, 60.0%) were categorized as CD37-positive, and 67 cases were CD37-negative. In cases with high Follicular Lymphoma International Prognostic Index (FLIPI), CD37-negative cases had a poor overall survival compared with CD37-positive cases (P = 0.047), although no significant differences were observed in other clinicopathologic factors, including histological grade, BCL2-IGH translocation, and immunohistochemical phenotype. Therefore, CD37 protein may play a role in tumor progression and may serve as a therapeutic target. However, further studies are needed to explore its significance.

Telomere length is maintained by the activation of telomerase, which causes continuous cell division and proliferation in many carcinomas. A catalytic reverse transcriptase protein (TERT) encoded by the TERT gene plays a critical role in the activation of telomerase. We performed a molecular and pathological analysis of the TERT against three different peripheral T‐cell lymphoma (PTCL) subtypes: PTCL, not otherwise specified (PTCL‐NOS), angioimmunoblastic T‐cell lymphoma (AITL), and adult T‐cell leukemia/lymphoma (ATLL). Immunohistochemical analysis demonstrated TERT expression in 31% of AITL, 11% of PTCL‐NOS, and 5% of ATLL. Among them, AITL frequently showed high TERT expression with statistical significance. TERT promoter mutation analysis and genomic copy number evaluation were performed. TERT promoter mutation was observed in two cases of PTCL‐NOS (2/40) and not in other PTCLs. Genome copy number amplification was detected in 33% of PTCL‐NOS, 33% of AITL, and 50% of ATLL cases. We evaluated the relationship between the analyzed TERT genomic abnormalities and protein expression; however, no apparent relationship was observed. Furthermore, immunostaining showed TERT expression in the PTCL cytoplasm, suggesting the existence of mechanisms other than the maintenance of telomere length. Statistical analysis of the effect of TERT expression on the prognosis in PTCL cases revealed that TERT expression tended to have a poor prognosis in PTCL‐NOS. Since TERT expression was not an independent factor in multivariate analysis, further research will be needed to clarify the poor prognosis of PTCL‐NOS in TERT expression., In this study, we performed TERT protein expression, mutation analysis of promoter region, and copy number analysis (chr.5) for PTCL (PTCL‐NOS, AITL, ATLL). In AITL, TERT expression was high, but there was no clear relationship between TERT protein expression and genomic abnormality. In the statistical analysis of TERT expression and PTCL prognosis, only PTCL‐NOS expressing TERT had a poor prognosis.

Glioblastomas are highly aggressive brain tumors with a particularly poor prognosis. Glucose transporter-1 (GLUT1/SLC2A1), a uniporter that is expressed by various carcinomas and may be involved in malignant neoplasm glycometabolism, may also be related to prognosis in glioblastomas. GLUT1 is essential to central nervous system glycometabolism. To clarify the exact role of GLUT1 in glioblastoma, we assessed the expression and localization of GLUT1 in patient samples by immunohistochemistry and in situ RNA hybridization. This revealed that GLUT1 was mainly expressed on perivascular and pseudopalisaded tumor cell membranes. All samples expressed GLUT1 to some degree, with 30.8% showing stronger staining. On the basis of these data, samples were divided into high and low expression groups, although SLC2A1 mRNA expression was also higher in the high GLUT1 expression group. Kaplan-Meier survival curves revealed that high GLUT1 expression associated with lower overall survival (log-rank test, p = 0.001) and worse patient prognoses (p = 0.001). Finally, MIB-1 staining was stronger in high GLUT1 expression samples (p = 0.0004), suggesting a link with proliferation. We therefore hypothesize that GLUT1 expression in glioblastomas may enhance glycolysis, affecting patient prognosis. Examination of GLUT1 in patients with glioblastomas may provide a new prognostic tool to improve outcome.

Follicular T-cell lymphoma (FTCL) is considered to originate from follicular helper T-cell (Tfh) cells. Angioimmunoblastic T-cell lymphoma (AITL) and peripheral T-cell lymphomas with the Tfh phenotype, derived from Tfh cells, often harbor RHOA G17V mutation. We investigated whether RHOA mutations affect the clinicopathological features of FTCL. We performed deep sequencing and Sanger sequencing for RHOA exon 2 in 16 cases of FTCL. Nine cases showed RHOA mutations, including eight with c.G50T, p.Gly17Val and one with c.G50A, p.Gly17Glu, c.A52G, p.Lys18Glu, c.T102C, p.Tyr34Tyr and c.G145T, p.Asp49Tyr. Compared to the RHOA mutation-negative group, the RHOA mutation-positive group had a higher tendency for B-immunoblasts (P = 0.06), the AITL component (P = 0.09), and higher positive rate for CD10 (P = 0.09) and BCL6 (P = 0.09), and a significantly higher positive rate for CXCL13 (P = 0.04). Although not statistically significant, the RHOA mutation-positive group showed higher values for almost all characteristic AITL features. There was no significant difference in overall survival between RHOA mutation-positive and -negative groups. The RHOA mutation may play an important role in clinicopathological characteristics and lymphomagenesis of FTCL. A more detailed investigation is needed to highlight the importance of RHOA mutations in FTCL.

Attenuated human leukocyte antigen (HLA) class I expression is implicated as a major immune escape mechanism in several types of tumor. We previously reported that HLA class I/β2 microglobulin and programmed death ligand-1 expression are prognostic factors in adult T-cell leukemia/lymphoma. A recent report suggested that HLA class II expression is also an important prognostic factor for the clinical outcome of programmed death-1 blockade therapy in recurrent/refractory Hodgkin lymphoma. This prompted us to evaluate HLA class II expression in adult T-cell leukemia/lymphoma and to compare the findings with the patients' clinicopathological features. Of the 132 biopsy specimens examined from newly diagnosed patients, lymphoma cells were positive for HLA class II expression in 44 patients (33.3%), whereas programmed death ligand-1 expression was observed on neoplastic cells from nine patients (6.9%) and on stromal cells in the tumor microenvironment in 83 cases (62.9%). HLA class II-positive cases showed a significantly better overall survival compared to the HLA class II-negative cases (P

Autoimmune regulator (AIRE) is a transcription factor that is expressed in medullary thymic epithelial cells. It plays an essential role in central tolerance by eliminating self-reactive T cells. Recently, extrathymic AIRE-expressing cells have been revealed, which are associated with peripheral tolerance. Moreover, AIRE expression has been demonstrated in skin tumors and breast cancer. However, the expression of AIRE in osteosarcoma is unknown. We used immunohistochemistry to investigate AIRE expression in biopsy samples from 43 patients with conventional osteosarcoma and statistically analyzed the association between AIRE expression and clinicopathological characteristics. High AIRE expression was detected in 25 patients (58.1%), and significantly associated with the presence of lung metastasis (P = 0.014) and an increased number of forkhead box P3-positive tumor-infiltrating lymphocytes (regulatory T cells) (P = 0.014). The overall survival rate for all osteosarcoma patients with high AIRE expression was significantly shorter than that for those with low AIRE expression (P = 0.046). In a subgroup analysis of American Joint Committee on Cancer stage II patients who underwent complete surgical resection and conventional chemotherapy, the overall survival and metastasis-free survival rates were significantly shorter for patients with high AIRE expression than for those with low AIRE expression (P = 0.019 and P