The geriatric nutritional risk index (GNRI) is a simple and well-established nutritional assessment tool that is a significant prognostic factor for various cancers. However, the role of the GNRI in predicting clinical outcomes of diffuse large B cell lymphoma (DLBCL) patients has not been investigated. To address this issue, we retrospectively analyzed a total of 476 patients with newly diagnosed de novo DLBCL. We defined the best cutoff value of the GNRI as 96.8 using a receiver operating characteristic curve. Patients with a GNRI < 96.8 had significantly lower overall survival (OS) and progression-free survival (PFS) than those with a GNRI ≥ 96.8 (5-year OS, 61.2 vs. 84.4%, P < 0.001; 5-year PFS, 53.7 vs. 75.8%, P < 0.001). Multivariate analysis showed that performance status, Ann Arbor stage, serum lactate dehydrogenase, and GNRI were independent prognostic factors for OS. Among patients with high-intermediate and high-risk by National Comprehensive Cancer Network-International Prognostic Index (NCCN-IPI), the 5-year OS was significantly lower in patients with a GNRI < 96.8 than in those with a GNRI ≥ 96.8 (high-intermediate risk, 59.5 vs. 75.2%, P = 0.006; high risk, 37.4 vs. 64.9%, P = 0.033). In the present study, we demonstrated that the GNRI was an independent prognostic factor in DLBCL patients. The GNRI could identify a population of poor-risk patients among those with high-intermediate and high-risk by NCCN-IPI.

The controlling nutritional status (CONUT) score is a nutritional index calculated from serum albumin and total cholesterol levels and lymphocyte counts. Its role in predicting clinical outcomes of diffuse large B-cell lymphoma (DLBCL) has not been evaluated. In this retrospective study, data from 476 patients with DLBCL were analyzed. The cutoff value of the CONUT score was set as 4. CONUT score significantly stratified the overall survival (OS) and the progression-free-survival (PFS) (5-year OS, 49.0% vs 83.2%, P < .001; 5-year PFS, 46.1% vs 73.1%, P < .001) of the patients. Among patients at high-intermediate or high risk, as per the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI), 5-year OS was lower in patients with high CONUT scores than in those with low CONUT scores (highintermediate risk, 51.2% vs 75.5%, P < .001; high risk, 29.9% vs 63.3%, P = .007). Additionally, in patients with high CONUT scores, maintenance of relative dose intensity (RDI) of chemotherapy did not affect the 5-year OS (RDI > 80% vs RDI ≤ 80%: 59.8% vs 50.9%, P = .73). In the present study, we have demonstrated that the CONUT score is an independent prognostic factor in patients with DLBCL.

Previous reports have evaluated the prognostic value of serum beta-2 microglobulin (B2MG) level in patients with non-Hodgkin lymphoma. However, its role in predicting clinical outcome of patients with diffuse large B-cell lymphoma (DLBCL) in the rituximab era has not been extensively investigated. Here, we evaluated the prognostic value of B2MG and proposed a new prognostic model including B2MG for patients with DLBCL. A total of 274 patients with newly diagnosed de novo DLBCL were retrospectively analyzed. We defined the best cutoff value as 3.2 mg/L by using a receiver operating characteristic curve. Patients with a B2MG level ≥3.2 mg/L had significantly lower overall survival (OS) and progression-free survival than those with a B2MG level <3.2 mg/L (3-year OS, 50.9% vs. 89.4%, p < 0.001; 3-year progression-free survival, 45.3% vs. 79.7%, p < 0.001). Multivariate analysis showed that B2MG, age, performance status, and Ann Arbor stage were independent prognostic factors for OS. We developed a new prognostic model consisting of these four significant factors. We stratified patients into four-risk groups: low (L, 0 factor), low-intermediate (LI, 1-2 factors), high-intermediate (HI, 3 factors), high (H, 4 factors). This new prognostic model showed better risk discrimination compared with the National Comprehensive Cancer Network-International Prognostic Index (5-year OS: 100% and 23.4% vs. 100% and 27.1%, in L and H risk groups, respectively). Our study suggested that B2MG level is a significant prognostic factor in patients with DLBCL. A new prognostic index composed of age, performance status, stage, and B2MG could stratify the outcomes of patients with DLBCL effectively and appears to be a valuable risk model for these patients. Copyright © 2016 John Wiley & Sons, Ltd.

Central nervous system (CNS) relapse in patients with diffuse large B cell lymphoma (DLBCL) is an uncommon event, and the outcome of patients with CNS relapse is poor. However, no reliable prediction models for CNS relapse have been developed. We retrospectively analyzed consecutive de novo DLBCL patients referred to our department between September 2004 and August 2015 and treated with R-CHOP or R-CHOP-like regimens. Of 413 patients analyzed in this study, a total of 27 patients (6.5 %) eventually developed CNS relapse. The 5-year probability of CNS relapse was 8.4 %. The median time from diagnosis of DLBCL to CNS relapse was 15 months, and the median survival after CNS relapse was 7 months. In univariate analysis, the risk factors significantly associated with CNS relapse were Ann Arbor stage 3 or 4, albumin level <3.2 mg/L, number of extranodal sites >1, and involvement of retroperitoneal lymph node. We developed a new prognostic model consisting of these four factors. The 5-year probability of CNS relapse was significantly higher in patients with at least three of these four factors than in those with two or fewer factors (26.4 vs. 3.0 %, P < 0.001). Using this model, we evaluated the incidence and the risk factors of CNS relapse in DLBCL patients. The new risk model consisting of the four factors demonstrated good risk stratification for CNS relapse, and could help to identify high-risk patients for whom CNS prophylaxis is warranted.

Osteosarcoma is the most common primary malignant bone cancer, with high rates of pulmonary metastasis. Osteosarcoma patients with pulmonary metastasis have worse prognosis than those with localized disease, leading to dramatically reduced survival rates. Therefore, understanding the biological characteristics of metastatic osteosarcoma and the molecular mechanisms of invasion and metastasis of osteosarcoma cells will lead to the development of innovative therapeutic intervention for advanced osteosarcoma. Here, we identified that osteosarcoma cells commonly exhibit high platelet activation-inducing characteristics, and molecules released from activated platelets promote the invasiveness of osteosarcoma cells. Given that heat-denatured platelet releasate maintained the ability to promote osteosarcoma invasion, we focused on heat-tolerant molecules, such as lipid mediators in the platelet releasate. Osteosarcoma-induced platelet activation leads to abundant lysophosphatidic acid (LPA) release. Exposure to LPA or platelet releasate induced morphological changes and increased invasiveness of osteosarcoma cells. By analyzing publicly available transcriptome datasets and our in-house osteosarcoma patient-derived xenograft tumors, we found that LPA receptor 1 (LPAR1) is notably upregulated in osteosarcoma. LPAR1 gene KO in osteosarcoma cells abolished the platelet-mediated osteosarcoma invasion in vitro and the formation of early pulmonary metastatic foci in experimental pulmonary metastasis models. Of note, the pharmacological inhibition of LPAR1 by the orally available LPAR1 antagonist, ONO-7300243, prevented pulmonary metastasis of osteosarcoma in the mouse models. These results indicate that the LPA–LPAR1 axis is essential for the osteosarcoma invasion and metastasis, and targeting LPAR1 would be a promising therapeutic intervention for advanced osteosarcoma.

No standard therapy for peripheral T-cell lymphomas (PTCLs) has been established, and treatment outcomes are poor. Upfront stem cell transplantation has been investigated in several studies, some of which have reported promising outcomes. However, some patients maintain long-term remission after chemotherapy alone. It is thus important to predict sensitivity to first-line chemotherapy to optimize treatment strategies. In the present study, we retrospectively analyzed time to treatment failure (TTF) of first-line chemotherapy in 59 patients with PTCLs. On multivariate analysis for TTF, elevated lactate dehydrogenase level, hypoalbuminemia, and high neutrophil-to-lymphocyte ratio were significant prognostic factors. Using these three factors, we also developed a new model that effectively distinguished patient outcomes. The TTF rate at 1 year from diagnosis was 71.4% in patients with score 0 (0 factor), 31.8% with score 1 (1 factor) and 4.5% with score 2 (2-3 factors) (P< 0.001). The prognostic power was superior to that of the Prognostic Index for PTCL-unspecified score. Patients with scores of 1 and 2 had poor TTF, and may be candidates for upfront stem cell transplantation if they respond to first-line chemotherapy. Further investigation in a larger cohort is warranted to determine the general applicability of this score.

A newborn male had an interstitial deletion of 16q21-q22.1 accompanying tetralogy of Fallot associated with pulmonary atresia and major aortopulmonary collateral arteries (MAPCA), dysmorphic craniofacial features, failure to thrive, and severe psychomotor developmental delay. When the deletion in this patient and other reported patients are compared, the 16q22 region appears to be the smallest region for 16q deletion syndrome. Since over 50% of patients with the deletion of 16q22 region have congenital heart disease, there may be a responsible gene in this region.

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