Gap Junction Beta-2 p.Val84Met Can Cause Autosomal Dominant Syndromic Hearing Loss With Keratoderma.

In this study, we report a case of bilateral mild hearing loss and keratoderma caused by a gap junction beta-2 (GJB2) variant. The proband was a nine-year-old Japanese boy with bilateral mild hearing loss at birth. The proband's father, sister, paternal aunt, and cousins had mild sensorineural hearing loss. Further evaluation revealed keratoderma on the feet of the proband, father, sister, paternal aunt, and cousins. We identified a heterozygous c.250G>A (p.Val84Met) variant in GJB2 as the cause of the autosomal dominant syndromic hearing loss with the skin disorder in this Japanese family and delineated the pathological significance of the variant. The Val84Met variant in GJB2 contributes to the autosomal dominant form of syndromic hearing loss with keratoderma.

Metabolic Tumor Volume as Significant Predictor for Chemotherapy Containing PD-L1 Blocker in Extensive Stage Small Cell Lung Cancer.

BACKGROUND/AIM: Chemo-immunotherapy, including the programmed death ligand 1 (PD-L1) antibody, is an effective treatment for patients with extensive-stage small-cell lung cancer (ES-SCLC). However, no biomarker has been established for the prediction of chemo-immunotherapy. Therefore, we investigated the potential of 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) as a predictive marker. PATIENTS AND METHODS: Forty-six patients with ES-SCLC who received 18F-FDG-PET immediately before combined platinum-based chemotherapy with PD-L1 blockade as a first-line treatment were eligible, and the maximum standard uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) on 18F-FDG uptake were evaluated. RESULTS: PD-L1 and tumor infiltrative lymphocytes (TILs) were immunohistochemically analyzed in 36 of the 46 patients. A high MTV was significantly associated with poor performance status and low albumin levels, and there was a significant association between low albumin and high TLG. Univariate analysis identified sex, Brinkman index, and MTV as significant predictors of progression-free survival (PFS), and sex, SUVmax, MTV, and TLG as significant factors of overall survival (OS). Multivariate analysis revealed that sex, Brinkman index, and MTV were independent prognostic factors for PFS, and sex, SUVmax, MTV, and TLG were significant predictors of OS. SUVmax was significantly higher in patients with positive PD-L1 expression than in those with negative expression but was not significantly different between positive and negative TILs. Moreover, the levels of MTV and TLG were not closely associated with the levels of PD-L1 and TILs. CONCLUSION: MTV or TLG metabolic tumor activity is suitable for the prediction of chemo-immunotherapy outcomes in patients with ES-SCLC.

Clinical Utility of Inflammatory and Nutritious Index as Therapeutic Prediction of Nivolumab plus Ipilimumab in Advanced Non-Small Cell Lung Cancer.

INTRODUCTION: Biomarkers for predicting the outcome of ipilimumab plus nivolumab (Nivo-Ipi) treatment in cancer patients have not been identified. Herein, we investigated the prognostic significance of inflammatory and nutritional markers in patients with advanced non-small cell lung cancer (NSCLC) receiving Nivo-Ipi. METHODS: Our study retrospectively analyzed 101 patients with advanced NSCLC who received Nivo-Ipi at a single institution. Inflammatory and nutritional indices were correlated with patient outcomes and included the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), systemic immune-inflammation index (SII), prognostic nutritional index (PNI), advanced lung cancer inflammation index (ALI), and Glasgow prognostic score (GPS). RESULTS: The NLR significantly correlated with the PLR, SII, PNI, ALI, and GPS. Regarding therapeutic efficacy, the NLR, SII, and PNI predicted a partial response, and all indices predicted progressive disease. In subgroup analyses, the SII, PNI, and ALI predicted the outcome of patients with adenocarcinoma, whereas only the PNI predicted the outcome of patients with non-adenocarcinoma. The PNI and SII were the most useful indices in patients with a programmed death ligand-1 expression level of <1% and ≥1%, respectively. CONCLUSION: The NLR, PLR, SII, PNI, ALI, and GPS were significantly associated with the outcome of Nivo-Ipi treatment in patients with NSCLC. The PNI was the most suitable marker regardless of histological type. The SII and PNI were the most promising markers for patients with and without PD-L1 expression, respectively.

Clinical significance of antinuclear antibody as prognostic marker for first-line pembrolizumab in advanced non-small cell lung cancer.

BACKGROUND: The relationship between antinuclear antibody (ANA) and the efficacy of programmed death-1 (PD-1) blockade remains controversial. Here, we investigated the prognostic significance of ANA titer in patients with non-small cell lung cancer (NSCLC) receiving pembrolizumab monotherapy as the first-line treatment, compared with that of platinum-based chemotherapy with PD-1 blockade. METHODS: Our clinical data based on the ANA titer (1:80) were retrospectively reviewed for patients with advanced NSCLC, who were treated with first-line pembrolizumab monotherapy and platinum-based chemotherapy with PD-1 blockade. Immunohistochemical staining for tumor-infiltrating lymphocytes such as CD4, CD8 and Foxp3 was performed. RESULTS: Among 106 patients treated with pembrolizumab, 19 (17.9%) tested high for ANA. Progression-free survival (PFS) and overall survival (OS) were significantly better in patients with high ANA than in those with low ANA, and high ANA was identified as an independent prognostic predictor, particularly in the subgroup with programmed death ligand-1 (PD-L1) ≥ 50%. However, no statistically significant difference in PFS and OS based on the ANA titer was observed in 59 patients treated with combinational chemotherapy and immunotherapy. High numbers of intratumoral Foxp3 and stromal CD8 were significantly associated with low ANA. CONCLUSIONS: Assessment of preexisting ANA titers was useful to prognose PD-1 blockade as a first-line setting, particularly for the PD-L1 ≥ 50% subgroup, but not in the case of combined immunotherapy and chemotherapy.

Clinicopathological impact of VEGFR2 and VEGF-C in patients with EGFR-major mutant NSCLC receiving osimertinib.

BACKGROUND: Vascular endothelial growth factor (VEGF) has been identified as one of the resistant mechanisms to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs). However, the relationship between the efficacy of osimertinib and protein expression of VEGF family members in patients with advanced non-small cell lung cancer (NSCLC) harboring EGFR mutations remains unclear. METHODS: A total of 76 patients with advanced NSCLC with EGFR major mutations (del19 or L858R) receiving first-line osimertinib were eligible as the osimertinib (Osi) group, whereas 43 patients receiving first- or second-generation EGFR-TKIs were compared with the control group. The expression of vascular endothelial growth factor receptor 2 (VEGFR2) and vascular endothelial growth factor C (VEGF-C) in the tumor specimens was analyzed using immunohistochemistry. RESULTS: VEGFR2 and VEGF-C were highly expressed in 65.8% and 51.3% of patients, respectively, in the Osi group, and 69.7% and 76.7%, respectively, in the control group. High VEGFR2 and VEGF-C levels were significantly associated with poor performance status (PS) and female sex, respectively. In the Osi group, patients with co-high expression of VEGFR2 and VEGF-C showed significantly worse progression-free survival (PFS) and overall survival (OS) than those without co-high expression. In del19, VEGFR2 was a significant predictor of PFS and OS and independent predictor of OS in multivariate analysis. In L858R, co-high expression of VEGFR2 and VEGF-C was identified as a significant predictor of PFS and OS and independent predictor of PFS. CONCLUSION: VEGFR2 and VEGF-C are highly expressed in EGFR-mutant NSCLC cells. Increased expression of VEGFR2 was identified as a significant prognostic factor in patients with EGFR del19 mutation who received osimertinib, whereas co-high expression of VEGFR2 and VEGF-C was a significant predictor for those with EGFR L858R mutation.

Correction for Extrinsic Background in Raman Hyperspectral Images.

Raman hyperspectral microscopy is a valuable tool in biological and biomedical imaging. Because Raman scattering is often weak in comparison to other phenomena, prevalent spectral fluctuations and contaminations have brought advancements in analytical and chemometric methods for Raman spectra. These chemometric advances have been key contributors to the applicability of Raman imaging to biological systems. As studies increase in scale, spectral contamination from extrinsic background, intensity from sources such as the optical components that are extrinsic to the sample of interest, has become an emerging issue. Although existing baseline correction schemes often reduce intrinsic background such as autofluorescence originating from the sample of interest, extrinsic background is not explicitly considered, and these methods often fail to reduce its effects. Here, we show that extrinsic background can significantly affect a classification model using Raman images, yielding misleadingly high accuracies in the distinction of benign and malignant samples of follicular thyroid cell lines. To mitigate its effects, we develop extrinsic background correction (EBC) and demonstrate its use in combination with existing methods on Raman hyperspectral images. EBC isolates regions containing the smallest amounts of sample materials that retain extrinsic contributions that are specific to the device or environment. We perform classification both with and without the use of EBC, and we find that EBC retains biological characteristics in the spectra while significantly reducing extrinsic background. As the methodology used in EBC is not specific to Raman spectra, correction of extrinsic effects in other types of hyperspectral and grayscale images is also possible.

A Th1-like CD4+ T-cell Cluster That Predicts Disease-free Survival in Early-stage Lung Cancer.

Perioperative immune checkpoint inhibitors have been shown to improve prognosis in early-stage lung cancer. However, no biomarkers are known to indicate the requirement for treatment. This study aimed to identify T-cell clusters responsible for antitumor immunity in patients with early-stage lung cancer. Preoperative blood samples from 50 consecutive patients with lung cancer who were diagnosed as operable and underwent complete resection were analyzed by mass cytometry. Patients were divided into two groups: no recurrence at a minimum observation period of 851 days (median observation period: 1,031.5 days) and recurrence by the last observation date. Mass cytometry and single-cell RNA sequencing analysis of lymph nodes (LN) and tumor-infiltrating T cells were also performed. CCR4-CCR6+ Th7R showed discriminative ability between recurrence and non-recurrence patients with lung cancer. Patients with more than 3.04% Th7R showed significantly favorable disease-free survival. Th7R was a major component of CD4+ T cells in tumor microenvironments and LNs adjacent to lung cancer tissues and was the only cluster that decreased in peripheral blood after the removal of cancer tissues, suggesting that Th7R was primed and proliferated in tumor-draining LNs in the presence of cancer tissues. Th7R had the kinetics that antitumor T cells should have, as indicated by the cancer immunity cycle; thus, peripheral blood Th7R could represent the potency of tumor immunity by reflecting priming and proliferation in tumor-draining LNs and Th7R in the tumor microenvironment. Prediction using peripheral Th7R before surgery could allow the selection of patients who require perioperative drug therapy and optimize therapeutic interventions with clinical implications. Significance: Peripheral Th7R, a Th1-like CD4+ T-cell cluster reflecting priming status in draining LNs and immune status in the tumor microenvironment, predicts disease-free survival after complete resection and has significant clinical relevance in selecting appropriate therapeutic interventions in patients with early-stage lung cancer.

Evidence-Based Prediction of Cellular Toxicity for Amorphous Silica Nanoparticles.

Developing a generalized model for a robust prediction of nanotoxicity is critical for designing safe nanoparticles. However, complex toxicity mechanisms of nanoparticles in biological environments, such as biomolecular corona formation, prevent a reliable nanotoxicity prediction. This is exacerbated by the potential evaluation bias caused by internal validation, which is not fully appreciated. Herein, we propose an evidence-based prediction method for distinguishing between cytotoxic and noncytotoxic nanoparticles at a given condition by uniting literature data mining and machine learning. We illustrate the proposed method for amorphous silica nanoparticles (SiO2-NPs). SiO2-NPs are currently considered a safety concern; however, they are still widely produced and used in various consumer products. We generated the most diverse attributes of SiO2-NP cellular toxicity to date, using >100 publications, and built predictive models, with algorithms ranging from linear to nonlinear (deep neural network, kernel, and tree-based) classifiers. These models were validated using internal (4124-sample) and external (905-sample) data sets. The resultant categorical boosting (CatBoost) model outperformed other algorithms. We then identified 13 key attributes, including concentration, serum, cell, size, time, surface, and assay type, which can explain SiO2-NP toxicity, using the Shapley Additive exPlanation values in the CatBoost model. The serum attribute underscores the importance of nanoparticle-corona complexes for nanotoxicity prediction. We further show that internal validation does not guarantee generalizability. In general, safe SiO2-NPs can be obtained by modifying their surfaces and using low concentrations. Our work provides a strategy for predicting and explaining the toxicity of any type of engineered nanoparticles in real-world practice.

Comparative analysis of different response criteria at early phase after PD-1 blockade in non-small lung cancer.

PURPOSE: To compare different response criteria using computed tomography (CT) and positron emission tomography (PET) in measuring response and survival in the early phase after programmed death-1 (PD-1) blockade monotherapy in patients with advanced non-small cell lung cancer (NSCLC). METHODS: A total of 54 patients with advanced NSCLC who had 2-deoxy-2-[fluorine-18]-fluoro-D-glucose PET or CT at baseline, and 4 and 9 weeks after PD-1 blockade, were registered. Therapeutic response was assessed according to the Response Evaluation Criteria in Solid Tumors (RECIST), the immune-modified RECIST (irRECIST), the PET Response Criteria in Solid Tumors (PERCIST), the immune-modified PERCIST (iPERCIST), and the European Organization for Research and Treatment of Cancer (EORTC) criteria for dichotomous groups, such as responders vs. non-responders and controlled vs. uncontrolled diseases. Cohen's κ was used to evaluate the concordance among the different criteria. RESULTS: The concordance between CT and PET response criteria was fair or slight for responders vs. non-responders, but the agreement between iPERCIST and irRECIST was moderate for controlled vs. uncontrolled diseases. The agreement between EORTC and PERCIST or iPERCIST in detecting responders was higher in the application of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) than in the standardized uptake value corrected for lean body mass (SUL)peak. To distinguish controlled from uncontrolled disease, RECIST, irRECIST, and PET criteria (PERCIST, iPERCIST, and EORTC) defined by MTV or TLG were found to be significant predictors of progression-free survival. To distinguish responders from non-responders, iPERCIST by SULpeak or EORTC by TLG were identified as significant indicators. The EORTC criteria using TLG for the detection of responders or uncontrolled diseases had a significantly higher predictive value for response assessment. CONCLUSIONS: The EORTC criteria based on TLG for the early detection of responders and uncontrolled disease were effective as a response assessment at 4 weeks after the PD-1 blockade. When SULpeak was not used but MTV or TLG was, the agreement between EORTC and PERCIST or iPERCIST was almost perfect.

Lipid droplet accumulation and adipophilin expression in follicular thyroid carcinoma.

Follicular neoplasms of the thyroid include follicular thyroid carcinoma (FTC) and follicular thyroid adenoma (FTA). However, the differences in cytological findings between FTC and FTA remain undetermined. Here, we aimed to evaluate the accumulation of lipid droplets (LDs) and the expression of adipophilin (perilipin 2/ADRP/ADFP), a known LD marker, in cultured FTC cells. We also immunohistochemically compared adipophilin expression in the FTC and FTA of resected human thyroid tissues. Cultured FTC (FTC-133 and RO82W-1) possessed increased populations of LDs compared to thyroid follicular epithelial (Nthy-ori 3-1) cells. In vitro treatment with phosphatidylinositol-3-kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR) signaling inhibitors (LY294002, MK2206, and rapamycin) in FTC-133 cells downregulated the PI3K/Akt/mTOR/sterol regulatory element-binding protein 1 (SREBP1) signaling pathway, resulting in a significant reduction in LD accumulation. SREBP1 is a master transcription factor that controls lipid metabolism. Fluorescence immunocytochemistry revealed adipophilin expression in the LDs of FTC-133 cells. Immunohistochemical analysis of surgically resected human thyroid tissues revealed significantly increased expression of adipophilin in FTC compared with FTA and adjacent non-tumorous thyroid epithelia. Taken together, LDs and adipophilin were abundant in cultured FTC; the evaluation of adipophilin expression can help distinguish FTC from FTA in surgical specimens.

Development of in-situ Raman diagnosis technique of eosinophil esophagitis.

The spectra of the live tissue with blood flow measured with 785 nm-excitation light showed a very weak signal due to hemoglobin (Hb). It suggested the possibility to detect eosinophil accumulation in the tissue with the 785 nm-excitation light. The excitation wavelength of 633 nm induced strong fluorescence of sapphire glass that is a material of the ball lens of BHRP (Ball lens top hollow optical fiber Raman probe). On the other hand, the previous study suggested that eosinophil including eosinophil peroxidase (EPO) that showed a strong resonance Raman effect with 633 nm-excitation light. The purpose of the present study is to collect basic information and to evaluate the viability of Raman spectroscopic analysis for the detection of eosinophil accumulation in the live esophagus. BHRP with a sapphire ball lens with 500 µm diameter was applied for measurement of live esophagus tissue of a mouse. In this study, Raman spectra of eosinophil were measured with 633 and 785 nm-excitation. The Raman spectra of eosinophil showed a strong contribution of EPO, suggested that a heme chromophore in EPO had pre-resonance enhancement via Q band with the 785 nm-excitation light. Principal component analysis (PCA) is applied for the analysis of Raman spectra of eosinophil, erythrocyte and other granulocytes. Eosinophil was successfully discriminated from other blood cells in the PCA score plots built for the datasets of the spectra measured with 633 and 785 nm-excitation wavelengths. Consequently, our study demonstrates that Raman spectroscopy with 785 nm-excitation had high viability for in situ analysis of eosinophilic esophagitis (EoE).

Attention network for predicting T-cell receptor-peptide binding can associate attention with interpretable protein structural properties.

Understanding how a T-cell receptor (TCR) recognizes its specific ligand peptide is crucial for gaining an insight into biological functions and disease mechanisms. Despite its importance, experimentally determining TCR-peptide-major histocompatibility complex (TCR-pMHC) interactions is expensive and time-consuming. To address this challenge, computational methods have been proposed, but they are typically evaluated by internal retrospective validation only, and few researchers have incorporated and tested an attention layer from language models into structural information. Therefore, in this study, we developed a machine learning model based on a modified version of Transformer, a source-target attention neural network, to predict the TCR-pMHC interaction solely from the amino acid sequences of the TCR complementarity-determining region (CDR) 3 and the peptide. This model achieved competitive performance on a benchmark dataset of the TCR-pMHC interaction, as well as on a truly new external dataset. Additionally, by analyzing the results of binding predictions, we associated the neural network weights with protein structural properties. By classifying the residues into large- and small-attention groups, we identified statistically significant properties associated with the largely attended residues such as hydrogen bonds within CDR3. The dataset that we created and the ability of our model to provide an interpretable prediction of TCR-peptide binding should increase our knowledge about molecular recognition and pave the way for designing new therapeutics.

Establishing a whole blood CD4+ T cell immunity measurement to predict response to anti-PD-1.

BACKGROUND: Biomarkers that can accurately predict the efficacy of immune checkpoint inhibitors (ICIs) against programmed death 1 (PD-1) ligand in cancer immunotherapy are urgently needed. We have previously reported a novel formula that predicts the response to treatment with second-line nivolumab with high sensitivity and specificity in patients with non-small cell lung cancer (NSCLC) previously treated with chemotherapy. The formula was based on the percentages of CD62LlowCD4+ T cells (effector T cells; %Teff) and CD4+CD25+FOXP3+ T cells (regulatory T cells; %Treg) in the peripheral blood before treatment estimated using the peripheral blood mononuclear cell (PBMC) method. Here, we investigated the applicability of the formula (K-index) to predict the response to treatment with another ICI to expand its clinical applicability. Furthermore, we developed a simpler assay method based on whole blood (WB) samples to overcome the limitations of the PBMC method, such as technical difficulties, in obtaining the K-index. METHODS: The K-index was evaluated using the PBMC method in 59 patients with NSCLC who received first-line pembrolizumab treatment. We also assessed the K-index using the WB method and estimated the correlation between the measurements obtained using both methods in 76 patients with lung cancer. RESULTS: This formula consistently predicted the response to first-line pembrolizumab therapy in patients with NSCLC. The WB method correlated well with the PBMC method to obtain %Teff, %Treg, and the formula value. The WB method showed high repeatability (coefficient of variation, < 10%). The data obtained using WB samples collected in tubes containing either heparin or EDTA-2K and stored at room temperature (18-24 °C) for one day after blood sampling did not differ. Additionally, the performance of the WB method was consistent in different flow cytometry instruments. CONCLUSIONS: The K-index successfully predicted the response to first-line therapy with pembrolizumab, as reported earlier for the second-line therapy with nivolumab in patients with NSCLC. The WB method established in this study can replace the cumbersome PBMC method in obtaining the K-index. Overall, this study suggests that the K-index can predict the response to anti-PD-1 therapy in various cancers, including NSCLC.

Sequential Treatment by Antiviral Drugs Followed by Immunosuppressive Agents for COVID-19 Patients with Hematological Malignancy.

Background: The detailed treatment regimen of COVID-19 patients with hematological malignancies has been unclear, and some fatalities have occurred, although combination therapy with antiviral agents and corticosteroids has been established for moderate to severe COVID-19 patients. Case Series: Case 1 was a 57-year-old woman who had malignant lymphoma and received CHOP therapy with obinutuzumab, and case 2 was a 70-year-old-man who had myeloma and received molecular targeted therapy with weekly corticosteroid. In both cases, SARS-CoV-2 genes and antigens were detected from their nasal swabs, and treatment was started for moderate to severe COVID-19. Case 1 received antiviral agents with high doses of corticosteroids for a long term simultaneously, but the high titer of viral antigens in her nasal swabs persisted. Ground-glass opacities and interstitial shadows also worsened in both lungs, and she finally died on day 60. In contrast, in case 2, antiviral agents were started first, and restarted the immunosuppressive agents, such as gamma globulin and corticosteroids after no titer of SARS-CoV-2 antigens was confirmed. The patient survived, and his abnormal chest shadows showed gradual improvement. Both of the patients received two vaccinations, but showed the low antibody titers for SARS-CoV-2. Conclusion: Administration of both antiviral agents and corticosteroids has been recommended for moderate to severe COVID-19 patients, but in patients with hematological malignancies, it might be better to use antiviral agents first to reduce the viral titers, and then add steroid and related immunosuppressive agents later appropriately to inhibit the excessive inflammatory state. The dose, timing, and order of the antivirals and immunosuppressive agents for COVID-19 should be considered carefully in the patients with hematological malignancies who showed low vaccine effectiveness.

PCGF1-PRC1 links chromatin repression with DNA replication during hematopoietic cell lineage commitment.

Polycomb group proteins (PcG), polycomb repressive complexes 1 and 2 (PRC1 and 2), repress lineage inappropriate genes during development to maintain proper cellular identities. It has been recognized that PRC1 localizes at the replication fork, however, the precise functions of PRC1 during DNA replication are elusive. Here, we reveal that a variant PRC1 containing PCGF1 (PCGF1-PRC1) prevents overloading of activators and chromatin remodeling factors on nascent DNA and thereby mediates proper deposition of nucleosomes and correct downstream chromatin configurations in hematopoietic stem and progenitor cells (HSPCs). This function of PCGF1-PRC1 in turn facilitates PRC2-mediated repression of target genes such as Hmga2 and restricts premature myeloid differentiation. PCGF1-PRC1, therefore, maintains the differentiation potential of HSPCs by linking proper nucleosome configuration at the replication fork with PcG-mediated gene silencing to ensure life-long hematopoiesis.

Single-Cell Analysis Reveals a CD4+ T-cell Cluster That Correlates with PD-1 Blockade Efficacy.

CD4+ T-cell immunity helps clonal proliferation, migration, and cancer cell killing activity of CD8+ T cells and is essential in antitumor immune responses. To identify CD4+ T-cell clusters responsible for antitumor immunity, we simultaneously analyzed the naïve-effector state, Th polarization, and T-cell receptor clonotype based on single-cell RNA-sequencing data. Unsupervised clustering analysis uncovered the presence of a new CD4+ T-cell metacluster in the CD62Llow CD4+ T-cell subpopulation, which contained multicellular clonotypes associated with efficacy of programmed death-ligand 1 (PD-1) blockade therapy. The CD4+ T-cell metacluster consisted of CXCR3+CCR4-CCR6+ and CXCR3-CCR4-CCR6+ cells and was characterized by high expression of IL7 receptor and TCF7. The frequency of these cells in the peripheral blood significantly correlated with progression-free survival and overall survival of patients with lung cancer after PD-1 blockade therapy. In addition, the CD4+ metacluster in the peripheral blood correlated with CD4+ T-cell infiltration in the tumor microenvironment, whereas peripheral Th1 correlated with local CD8+ T-cell infiltration. Together, these findings suggest that CD62Llow CCR4-CCR6+ CD4+ T cells form a novel metacluster with predictive potential of the immune status and sensitivity to PD-1 blockade, which may pave the way for personalized antitumor immunotherapy strategies for patients. SIGNIFICANCE: The identification of a new CD4+ T-cell metacluster that corresponds with immune status could guide effective tumor treatment by predicting response to immunotherapy using peripheral blood samples from patients.

Prognostic Potential of Metabolic Activity on 18 F-FDG Accumulation in Advanced NSCLC Receiving Combining Chemotherapy Plus PD-1 Blockade.

Combined chemotherapy plus programmed death-1 (PD-1) blockade is an established treatment against patients with advanced non-small cell lung cancer (NSCLC). However, a promising predictor besides programmed death ligand-1 expression remains uncertain. We examined the prognostic significance of baseline 18 F-FDG-positron emission tomography for predicting first-line combined chemotherapy plus PD-1 blockade in NSCLC patients. Forty-five patients with advanced NSCLC who received 18 F-FDG-positron emission tomography immediately before combined platinum-based chemotherapy with PD-1 blockade as first-line setting were eligible for this study, and assessment of maximum of standard uptake value (SUV max ), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) on 18 F-FDG uptake was performed. The objective response rate, median progression-free survival, and overall survival were 51.2%, 206 days, and 681 days, respectively. High SUV max , TLG, and MTV significantly correlated with age and performance status (PS), C-reactive protein (CRP), and PS, CRP, albumin, and baseline tumor size, respectively. Univariate analysis identified albumin, TLG and MTV as significant predictors of progression-free survival, and CRP, albumin, TLG and MTV as significant factors for predicting overall survival. High TLG was confirmed as an independent factor associated with poor prognosis in multivariate analysis. In particular, TLG is identified as the most powerful predictor in patients with good PS, adenocarcinoma, programmed death ligand-1≥1%, and low baseline tumor size. The tumor metabolic volume by MTV and TLG at pretreatment was clarified as a significant predictor for combined chemotherapy with PD-1 blockade, but not maximal glycolytic level by SUV max .

Metachronous lesions in the orbit, retroperitoneum, and pleura of mucosa-associated lymphoid tissue lymphoma: A case report.

BACKGROUND: Mucosa associated lymphoid tissue (MALT) lymphoma of the orbit is rare, often indolent, but can recur, and spread to extra-nodal sites. Pleural and retroperitoneum recurrences of MALT lymphoma are rare. CASE: A 65-year-old man was referred to our hospital due to right pleural effusion and difficulty in breathing. He had a medical history of having undergone surgery for MALT lymphoma of the left orbit. A chest computed tomography (CT) scan showed right pleural thickness, pleural effusion, and a retroperitoneal mass, spreading from the muscular layer to the subcutaneous layer. The thickened pleural lesion was surgically biopsied and diagnosed as a recurrence of MALT lymphoma. CONCLUSION: Pleural effusion should be carefully examined and monitored for the possibility of recurrence in MALT lymphoma patients.

Discovery of Benzylpiperazine Derivatives as CNS-Penetrant and Selective Histone Deacetylase 6 Inhibitors.

Inhibition of histone deacetylase 6 (HDAC6) in the brain is a highly attractive therapeutic target for the treatment of neurodegenerative diseases. The low blood-brain barrier permeability of most known HDAC6 inhibitors, however, prevents their application as central nervous system (CNS) drugs. To overcome this problem, we designed and synthesized benzylpiperazine derivatives using a hybrid strategy of combining HDAC6 inhibitors and brain-penetrant histamine H1 receptor antagonists. Introducing the benzylpiperazine units to the cap region of hydroxamate-type HDAC6 inhibitors led us to identify isozyme-selective and CNS-penetrant HDAC6 inhibitor KH-259 (1) with the appropriate pharmacokinetic and safety properties. Intraperitoneal administration of KH-259 (10 mg/kg) had antidepressant activity and increased acetylated α-tubulin in the brain without promoting acetylated histone H3K9. These findings indicate that our hybrid strategy of combining HDAC6 inhibitors and histamine H1 receptor antagonists is an effective methodology for designing CNS-penetrant HDAC6 inhibitors.

Recombination of repeat elements generates somatic complexity in human genomes.

Non-allelic recombination between homologous repetitive elements contributes to evolution and human genetic disorders. Here, we combine short- and long-DNA read sequencing of repeat elements with a new bioinformatics pipeline to show that somatic recombination of Alu and L1 elements is widespread in the human genome. Our analysis uncovers tissue-specific non-allelic homologous recombination hallmarks; moreover, we find that centromeres and cancer-associated genes are enriched for retroelements that may act as recombination hotspots. We compare recombination profiles in human-induced pluripotent stem cells and differentiated neurons and find that the neuron-specific recombination of repeat elements accompanies chromatin changes during cell-fate determination. Finally, we report that somatic recombination profiles are altered in Parkinson's and Alzheimer's disease, suggesting a link between retroelement recombination and genomic instability in neurodegeneration. This work highlights a significant contribution of the somatic recombination of repeat elements to genomic diversity in health and disease.