Efficacy and safety of treat-and-extend intravitreal brolucizumab in naive and switched patients with macular neovascularization: one-year follow-up study.

BACKGROUND: to analyze, at one year, the efficacy and safety of treat-and-extend (T&E) intravitreal (IV) Brolucizumab in patients affected by macular neovascularization (MNV). Both naïve and previously treated (i.e., switched) patients were included, and the data from the two groups were compared. METHODS: anatomical (i.e., central subfoveal thickness, CST; presence of fluid), functional (i.e., best corrected visual acuity, BCVA) and treatment-related (i.e., number of IV injections within the study period; number of patients reaching a 12-weeks interval between treatments) data from 41 eyes of 41 subjects (20 naïve and 21 switched) were analyzed. Patients were treated with 3 monthly IV injections followed by a T&E regimen based on a disease activity assessment performed at each scheduled IV treatment. RESULTS: significant CST reduction (from 412.1 ± 115.8 to 273.2 ± 61.6; p < 0.05) and BCVA (mean; p) improvement were observed in the naïve group, while in the switched cohort, both parameters were almost stable. In the naïve and switched groups, 55% and 33.5% of patients, respectively, reached a 12-week IV interval at one year, with a mean of 6.55 ± 1 and 7.43 ± 0.68 IV treatments, respectively. One patient with mild anterior uveitis without sequelae was recorded. CONCLUSION: In patients with MNV, IV Brolucizumab injections following a T&E regimen demonstrated great efficacy and a good safety profile, with greater anatomical and functional results in naïve patients. TRIAL REGISTRATION: This study was approved by the Local Ethics Committee (protocol number 155/2020, general registry number n°11486, InterHospital Ethics Committee, San Luigi Gonzaga Hospital, Orbassano, Italy).

Breakthroughs in synthetic controlling strategies for precision in CAR-T therapy.

Chimeric antigen receptors (CAR) are synthetic receptors engineered to target a user-defined antigen. They comprise an extracellular single-chain variable fragment for target recognition and intracellular signalling domains commonly derived from immune cells. CAR-T cells have proven to be successful in therapy of some cancers. CAR-T cells are activated upon antigen-priming and subsequent intracellular signalling. However, tonic signalling in CAR-T cells remains a challenge in developing CAR-T therapeutics of high efficacy as it causes early T-cell exhaustion, limiting therapeutic persistence. Moreover, a poor choice of target antigen leads to off-target cytotoxicity, often hampering the host's survival. In addition, conventional methods of delivering CAR gene circuits utilise viral vectors, such as lentiviruses and retroviruses, which insert the CAR gene circuits into transcriptionally active sites in the genome. This increases the risks of malignant transformation due to improper genome integration. Optimisation in CAR-T engineering, from the architecture of CAR gene circuits to the structure of CAR and the behaviour of CAR-T cells, is paramount to ensure high efficacy, persistence, and precision in CAR-T therapy. This review provides insights into engineering CAR-T cells for precision in cancer therapy by highlighting the key strategies recently developed to optimise the function and efficiency of CARs. The delivery method of CAR gene circuits, circuit and structural modification of CAR, T-cell phenotype manipulation and T-cell arming will be discussed to accentuate their interplay in regulating CAR-T therapy's safety, precision, and efficacy.

Assessment of the therapeutic efficacy of [177Lu]Lu-PSMA-X compared to taxane chemotherapy in taxane-chemo-naïve patients with metastatic castration-resistant prostate cancer: A systematic review and meta-analysis.

INTRODUCTION AND AIM: Radioligand therapy (RLT) with 177Lu-labelled prostate specific membrane antigen ([177Lu]Lu-PSMA-X, referring with "PSMA-X" to a generic PSMA chemical compound) inhibitors has emerged as a viable treatment option in metastatic castration resistant prostate cancer patients having previously progressed on taxane and androgen receptor inhibitors. The aim of this study was to perform a systematic review and meta-analysis to assess the therapeutic efficacy of [177Lu]Lu-PSMA-X compared to taxane chemotherapy in taxane-chemo-naïve patients with metastatic castration-resistant prostate cancer. MATERIALS AND METHODS: Searches in several bibliographic databases were made using relevant key words, and articles published up to March 2024 were included. The endpoints included prostate specific antigen (PSA) response rate (RR), progression-free survival, and overall survival. Individual patient data were pooled when feasible. PSA50 was defined as the median proportion of patients achieving at least a 50% decline in serum PSA from baseline. A meta-analysis of the PSA50 response rate (proportion meta-analysis) was performed, generating pooled estimates and 95% confidence intervals (95% CI). RESULTS: From the initially selected 8,414 studies published between 2019 and 2023, 24 were included in the [177Lu]Lu-PSMA-X treated group and 17 in the taxane treated group. Our findings show that [177Lu]Lu-PSMA-X RLT yielded comparable PSA50 responses in taxane-naïve patients versus those receiving taxane chemotherapy, despite considerable study heterogeneity. Notably, the taxane-naïve group had more extensive pretreatment. CONCLUSIONS: This meta-analysis combines the largest cohorts of taxane-naïve mCRPC patients treated with [177Lu]Lu-PSMA-X RLT and taxane-treated mCRPC. It underscores similar PSA50 response rates in both groups, suggesting a potential role for [177Lu]Lu-PSMA-X RLT in taxane-naïve patients who cannot or choose not to undergo chemotherapy.

Identification and analysis of alloreactive T lymphocytes from peripheral blood mononuclear cells.

Alloreactive T-cell responses against mismatched MHC or minor histocompatibility antigens may result in deleterious graft-versus-host disease (GVHD) and increased morbidity and mortality in allogeneic hematopoietic stem cell transplantation (allo-HSCT). Nevertheless, these T-cell responses may be directed against residual tumor cells (the graft-versus-tumor effect, GVT), thus preventing relapse of the disease. Recent findings have shown that CD45RA+ naïve T cells, but not CD45RA- memory T cells are the major contributors to GVHD, thus leading to clinical trials where CD45RA+-depleted, memory-enriched T-cell products are adoptively transferred following allo-HSCT to prevent GVHD and enhance immune reconstitution. However, residual alloreactivity may still be present in the memory T-cell compartment, thus contributing to prevent disease relapse by GVT. Here, we describe a simple cell-based protocol to identify alloreactive naïve and memory T cells by co-culturing T-cell subsets and third-party antigen-presenting cells. The responding cells are identified following dilution of carboxyfluorescein succinimidyl ester (CFSE) and upregulation of the activation marker CD25. These CFSE-diluting cells can be further phenotyped by high-dimensional flow cytometry, or purified with a cell sorter for downstream genomic and functional assays.

Randomized Phase II Trial of Amrubicin Plus Irinotecan Versus Cisplatin Plus Irinotecan in Chemo-naïve Patients With Extensive-Disease Small-Cell Lung Cancer: Results of the Japan Multinational Trial Organization (JMTO) LC 08-01.

BACKGROUND: We conducted a randomize phase II study to evaluate the efficacy and safety of topoisomerase II inhibitor amrubicin plus topoisomerase I inhibitor irinotecan (AI) compared with cisplatin plus irinotecan (PI) as first-line therapy in patients with extensive-disease (ED) small-cell lung cancer (SCLC). PATIENTS AND METHODS: Chemo-naïve patients with pathologically proven ED-SCLC (including limited disease (LD) SCLC with malignant effusion) were enrolled. Patients were randomized 1:1 to receive either AI (amrubicin 90mg/m2 on day 1 and irinotecan 50mg/m2 on days 1 and 8 of a 21-day cycle) or PI (cisplatin 60mg/m2 on day 1 and irinotecan 60mg/m2 on days 1, 8 and 15 of a 28-day cycle). The primary endpoint was overall survival proportion at 1 year. RESULTS: A total of 100 patients were randomly assigned to AI (n = 50) or to PI (n = 50). The 1-year overall survival proportions were 68.0% (95% confidence interval (CI): 56.2-82.2%) for AI and 59.2% (46.9-74.7%) for PI (1-sided P = .18). Median survival time was 14.8 months for AI and 13.5 months for PI with a hazard ratio (HR) of 0.618 (0.398-0.961, stratified log-rank test P = .031). Median progression-free survival time was 4.8 months for AI and 5.4 months for PI (stratified log-rank test, P = .54). Objective response rate was 70.0% (55.4-82.1%) for AI and 55.1% (40.2-69.3%) for PI (Fisher exact test, P = .15). There was no significant difference in hematological toxicity, whereas rates of vomiting, loss of appetite, diarrhea, and elevated serum creatinine are more frequent in PI. Interstitial lung disease (Grade 2 or 3) developed in 5 patients in AI and in 1 patient in PI. There was no treatment-related death. CONCLUSION: Although the study did not meet its primary endpoint, AI showed promising efficacy and good tolerability in chemo-naïve patients with ED-SCLC.

Single-cell sequencing technology to characterize stem T-cell subpopulations in acute T-lymphoblastic leukemia and the role of stem T-cells in the disease process.

BACKGROUND: Precursor T-cell acute lymphoblastic leukemia (Pre-T ALL) is a malignant neoplastic disease in which T-cells proliferate in the bone marrow. Single-cell sequencing technology could identify characteristic cell types, facilitating the study of the therapeutic mechanisms in Pre-T ALL. METHODS: The single-cell sequencing data (scRNA-seq) of Pre-T ALL were obtained from public databases. Key immune cell subpopulations involved in the progression of Pre-T ALL were identified by clustering and annotating the cellular data using AUCell. Next, pseudo-temporal analysis was performed to identify the differentiation trajectories of immune cell subpopulations using Monocle. Copy number mutation landscape of cell subpopulations was characterized by inferCNV. Finally, cellphoneDB was used to analyze intercellular communication relationships. RESULTS: A total of 10 cellular subpopulations were classified, with Pre-T ALL showing a higher proportion of NK/T cells. NK/T cells were further clustered into two subpopulations. Stem T cells showed a high expression of marker genes related to hematopoietic stem cells, Naive T cells had a high expression of CCR7, CCR7, RCAN3, and NK cells high-expressed KLRD1, TRDC. The cell proliferation was reduced and the activation of T cell was increased during the differentiation of stem T cells to Naive T cells. We observed interaction between stem T cells with dendritic cells such as CD74-COPA, CD74-MIF as well as co-inhibition-related interactions such as LGALS9-HAVCR2, TGFB1-TGFBR3. CONCLUSION: Stem T cells were involved in the development of Pre-T-ALL through the regulatory effects of transcription factors (TFs) KLF2 and FOS and multiple ligand-receptor pairs.

Regulatory T cells modulate monocyte functions in immunocompetent antiretroviral therapy naive HIV-1 infected people.

We previously demonstrated that the overall number of regulatory T (Treg) cells decrease proportionately with helper CD4+ T cells and their frequencies increase in antiretroviral therapy (ART)-naive human immunodeficiency virus type-1 (HIV-1) infected individuals. The question now is whether the discrepancies in Treg cell numbers and frequencies are synonymous to an impairment of their functions. To address this, we purified Treg cells and assessed their ability to modulate autologous monocytes functions. We observed that Treg cells were able to down modulate autologous monocytes activation as well as interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNF-α) production during stimulation with polyinosinic-polycytidylic acid stabilized with poly-L-lysine and carboxymethylcellulose (poly-ICLC). This activity of Treg cells has been shown to be influenced by immunocompetence including but not limited to helper CD4+ T cell counts, in individuals with HIV-1 infection. Compared to immunosuppressed participants (CD4 < 500 cells/µL), immunocompetent participants (CD4 ≥ 500 cells/µL) showed significantly higher levels of transforming growth factor beta (TGF-ß) and IL-10 (p < 0.001 and p < 0.05, respectively), key cytokines used by Treg cells to exert their immunosuppressive functions. Our findings suggest the contribution of both TGF-ß and IL-10 in the suppressive activity of Treg cells.

Multidimensional profiling of human T cells reveals high CD38 expression, marking recent thymic emigrants and age-related naive T cell remodeling.

Thymic involution is a key factor in human immune aging, leading to reduced thymic output and a decline in recent thymic emigrant (RTE) naive T cells in circulation. Currently, the precise definition of human RTEs and their corresponding cell surface markers lacks clarity. Analysis of single-cell RNA-seq/ATAC-seq data distinguished RTEs by the expression of SOX4, IKZF2, and TOX and CD38 protein, whereby surface CD38hi expression universally identified CD8+ and CD4+ RTEs. We further determined the dynamics of RTEs and mature cells in a cohort of 158 individuals, including age-associated transcriptional reprogramming and shifts in cytokine production. Spectral cytometry profiling revealed two axes of aging common to naive CD8+ and CD4+ T cells: (1) a decrease in CD38++ cells (RTEs) and (2) an increase in CXCR3hi cells. Identification of RTEs enables direct assessment of thymic health. Furthermore, resolving the dynamics of naive T cell remodeling yields insight into vaccination and infection responsiveness throughout aging.

Comparative real-world outcomes between ustekinumab, infliximab, and adalimumab in bio-naïve and bio-experienced Crohn's disease patients: a retrospective multicenter study.

BACKGROUND: Numerous studies have compared the efficacy of ustekinumab (UST) and anti-TNF agents [infliximab (IFX) or adalimumab(ADA)] in moderate to severe Crohn's disease (CD) patients. This study aims to compare the efficacy of UST, IFX, and ADA while differentiating between bio-naïve and bio-experienced patients, which is an underexplored aspect, particularly in Asia. METHODS: We conducted a retrospective multi-center study from 2012 to 2023, categorizing patients into bio-naïve and bio-experienced groups. We evaluated clinical remission rates after induction therapy and clinical outcomes, including CD-related hospitalization, intestinal resection, and drug discontinuation during maintenance therapy. RESULTS: Among the 214 bio-naïve CD patients, 60 received UST, 108 received IFX, and 46 received ADA. After 1:1 propensity score matching between UST and anti-TNF agents groups, 59 patients were analyzed in each group (45 in the IFX group and 14 in the ADA group). We found no significant differences in clinical remission rates (P = 0.071), CD-related hospitalization (P = 0.800), intestinal resection (P = 0.390), or drug discontinuation (P = 0.052) between the UST, IFX, and ADA groups in bio-naïve CD patients. In bio-experienced CD patients, with 35 in the UST group and 13 in the anti-TNF agents group, the UST group showed a lower risk of drug discontinuation (P = 0.004) than the anti-TNF agents group. CONCLUSIONS: This study suggests that UST, IFX, and ADA are equally effective in bio-naïve CD patients, while in bio-experienced patients, mostly with previous exposure to anti-TNF agents, UST may offer superior drug durability.

Decoding Breast Cancer: Using Radiomics to Non-Invasively Unveil Molecular Subtypes Directly from Mammographic Images.

Breast cancer is the most commonly diagnosed cancer worldwide. The therapy used and its success depend highly on the histology of the tumor. This study aimed to explore the potential of predicting the molecular subtype of breast cancer using radiomic features extracted from screening digital mammography (DM) images. A retrospective study was performed using the OPTIMAM Mammography Image Database (OMI-DB). Four binary classification tasks were performed: luminal A vs. non-luminal A, luminal B vs. non-luminal B, TNBC vs. non-TNBC, and HER2 vs. non-HER2. Feature selection was carried out by Pearson correlation and LASSO. The support vector machine (SVM) and naive Bayes (NB) ML classifiers were used, and their performance was evaluated with the accuracy and the area under the receiver operating characteristic curve (AUC). A total of 186 patients were included in the study: 58 luminal A, 35 luminal B, 52 TNBC, and 41 HER2. The SVM classifier resulted in AUCs during testing of 0.855 for luminal A, 0.812 for luminal B, 0.789 for TNBC, and 0.755 for HER2, respectively. The NB classifier showed AUCs during testing of 0.714 for luminal A, 0.746 for luminal B, 0.593 for TNBC, and 0.714 for HER2. The SVM classifier outperformed NB with statistical significance for luminal A (p = 0.0268) and TNBC (p = 0.0073). Our study showed the potential of radiomics for non-invasive breast cancer subtype classification.

Characterization of unique B-cell populations in the circulation of people living with HIV prior to non-Hodgkin lymphoma diagnosis.

People living with HIV (PLWH) are at higher risk of developing lymphoma. In this study, we performed cytometry by time-of-flight (CyTOF) on peripheral blood mononuclear cells of cART-naïve HIV+ individuals and cART-naïve HIV+ individuals prior to AIDS-associated non-Hodgkin lymphoma (pre-NHL) diagnosis. Participants were enrolled in the Los Angeles site of the MACS/WIHS Combined Cohort Study (MWCCS). Uniform Manifold Approximation and Projection (UMAP) and unsupervised clustering analysis were performed to identify differences in the expression of B-cell activation markers and/or oncogenic markers associated with lymphomagenesis. CD10+CD27- B cells, CD20+CD27- B cells, and B-cell populations with aberrant features (CD20+CD27+CXCR4+CD71+ B cells and CD20+CXCR4+cMYC+ B cells) were significantly elevated in HIV+ cART-naïve compared to HIV-negative samples. CD20+CD27+CD24+CXCR4+CXCR5+ B cells, CD20+CD27+CD10+CD24+CXCR4+cMYC+ B cells, and a cluster of CD20+CXCR4hiCD27-CD24+CXCR5+CD40+CD4+AICDA+ B cells were significantly elevated in HIV+ pre-NHL (cART-naïve) compared to HIV+ cART-naïve samples. A potentially clonal cluster of CD20+CXCR4+CXCR5+cMYC+AICDA+ B cells and a cluster of germinal center B-cell-like cells (CD19-CD20+CXCR4+Bcl-6+PD-L1+cMYC+) were also found in the circulation of HIV+ pre-NHL (cART-naïve) samples. Moreover, significantly elevated clusters of CD19+CD24hiCD38hi cMYC+ AICDA+ B regulatory cells were identified in HIV+ pre-NHL (cART-naïve) compared to HIV+ cART-naïve samples. The present study identifies unique B-cell subsets in PLWH with potential pre-malignant features that may contribute to the development of pre-tumor B cells in PLWH and that may play a role in lymphomagenesis.

Patterns of Use of e-Cigarettes and Their Respiratory Effects: Protocol for an Umbrella Review.

BACKGROUND: Electronic nicotine delivery systems (ENDS)-e-cigarettes or vapes-have been shown to substantially reduce or eliminate many toxins compared with cigarette smoke, but simultaneously ENDS use also produces their own unique toxins. Yet the patterns of use among people who use ENDS are not homogeneous. Some people who use ENDS also smoke cigarettes (dual use). Other people who formerly smoked cigarettes are completely substituting ENDS (exclusive use). A small number of people who have never smoked cigarettes are using ENDS (naïve use of nicotine). Each of these patterns of use results in different exposures to toxins. Unfortunately, epidemiological studies routinely group together any ENDS use regardless of other tobacco use. OBJECTIVE: This umbrella review primarily aims to present all the evidence available on the respiratory effects of ENDS use by adults based on their pattern of use: dual use, exclusive use, and naïve use. With each of these patterns of use, are there benefits, no changes, or harmful effects on respiratory functioning? Our objective is to provide clinicians with a detailed analysis of how different patterns of ENDS use impact respiratory functioning and to point to the best sources of evidence. METHODS: This umbrella review follows the Methods for Overviews of Reviews framework and the PRIOR (Preferred Reporting Items for Overviews of Reviews) statement. Systematic reviews published since 2019 will be searched across 4 databases and 3 gray literature sources. Additional searches will include citation chasing, references lists, and referrals from respiratory specialists. The quality of included reviews will be evaluated using the AMSTAR2 (A Measurement Tool to Assess Systematic Reviews) checklist. We will document biases in 3 areas: protocol deviations, biases from the Oxford Catalogue of Bias, and internal data discrepancies. Two reviewers will independently conduct the search and quality assessments. Our analysis will focus on reviews rated as moderate or high confidence by AMSTAR2. We will use the Vote Counting Direction of Effect method to manage expected data heterogeneity, assessing whether ENDS use is beneficial or detrimental, or has no effect on respiratory functions based on the pattern of use. RESULTS: The review is expected to be completed by December 2024. The database search was concluded in April 2024, and data extraction and bias assessment were completed in June 2024. The analysis phase is planned to be completed by October 2024. CONCLUSIONS: A thorough and comprehensive assessment of the evidence will better inform the contentious debate over the respiratory effects of ENDS providing much needed clarity by linking their effects to specific usage patterns. This analysis is particularly crucial in understanding the risks associated with continued cigarette smoking. TRIAL REGISTRATION: PROSPERO CRD42024540034; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=540034. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/60325.

Benefit delayed immunosenescence by regulating CD4+T cells: A promising therapeutic target for aging-related diseases.

CD4+T cells play a notable role in immune protection at different stages of life. During aging, the interaction between the body's internal and external environment and CD4+T cells results in a series of changes in the CD4+T cells pool making it involved in immunosenescence. Many studies have extensively examined the subsets and functionality of CD4+T cells within the immune system, highlighted their pivotal role in disease pathogenesis, progression, and therapeutic interventions. However, the underlying mechanism of CD4+T cells senescence and its intricate association with diseases remains to be elucidated and comprehensively understood. By summarizing the immunosenescent progress and network of CD4+T cell subsets, we reveal the crucial role of CD4+T cells in the occurrence and development of age-related diseases. Furthermore, we provide new insights and theoretical foundations for diseases targeting CD4+T cell subsets aging as a treatment focus, offering novel approaches for therapy, especially in infections, cancers, autoimmune diseases, and other diseases in the elderly.

Abiraterone Acetate Versus Enzalutamide Against Chemo-Naïve Castration-Resistant Prostate Cancer With Full-Dose Induction.

Purpose We recently released the multi-institutional real-world analysis about the difference in survival outcomes between abiraterone acetate and enzalutamide against chemo-naïve castration-resistant prostate cancer (CRPC) in a first-line setting. Although reduced dose induction cases were included in that analysis, induction dose reduction might correlate with reduced efficacy. In this study, we analyzed full-dose induction subgroups from our overall cohort and investigated the true difference in efficacy between these agents. Methods A total of 220 chemotherapy-naïve CRPC cases treated with full-dose induction of first-line androgen receptor signaling inhibitor (ARSI) were analyzed. Outcome measures were prostate-specific antigen (PSA) response, PSA progression-free survival (PSA-PFS), treatment failure-free survival (TFF), cancer-specific survival (CSS), and overall survival (OS). Results Abiraterone acetate and enzalutamide were administered to 58 and 162 patients, respectively. The median PSA response rate (-65.4% (A) and -81.5% (E), p = 0.0252), PSA decline ≥ 90% (22.4% (A) and 37.0% (E), p = 0.0478), PSA-PFS (median four months (A) and seven months (E), p = 0.00833), TFF (median six months (A) and 15 months (E), p<0.0001), CSS (median 45 months (A) and not reached (E), p < 0.0001), and OS (median 34 months (A) and 80 months (E), p<0.001) were significantly better in the E group. Conclusion This study showed that PSA response, PSA-PFS, TTF, CSS, and OS were better with first-line enzalutamide administration. Direct inhibition of androgen receptor signaling by enzalutamide is associated with better clinical outcomes in the full-dose induction cohort.

Artificial Intelligence (AI) and Nuclear Features from the Fine Needle Aspirated (FNA) Tissue Samples to Recognize Breast Cancer.

Breast cancer is one of the paramount causes of new cancer cases worldwide annually. It is a malignant neoplasm that develops in the breast cells. The early screening of this disease is essential to prevent its metastasis. A mammogram X-ray image is the most common screening tool practiced currently when this disease is suspected; all the breast lesions identified are not malignant. The invasive fine needle aspiration (FNA) of a breast mass sample is the secondary screening tool to clinically examine cancerous lesions. The visual image analysis of the stained aspirated sample imposes a challenge for the cytologist to identify the malignant cells accurately. The formulation of an artificial intelligence-based objective technique on top of the introspective assessment is essential to avoid misdiagnosis. This paper addresses several artificial intelligence (AI)-based techniques to diagnose breast cancer from the nuclear features of FNA samples. The Wisconsin Breast Cancer dataset (WBCD) from the UCI machine learning repository is applied for this investigation. Significant statistical parameters are measured to evaluate the performance of the proposed techniques. The best detection accuracy of 98.10% is achieved with a two-layer feed-forward neural network (FFNN). Finally, the developed algorithm's performance is compared with some state-of-the-art works in the literature.

The profile and prognostic significance of bone marrow T-cell differentiation subsets in adult AML at diagnosis.

Background: T lymphocytes in tumor microenvironment play a pivotal role in the anti-tumor immunity, and the memory of T cells contributes to the long-term protection against tumor antigens. Compared to solid tumors, studies focusing on the T-cell differentiation in the acute myeloid leukemia (AML) bone marrow (BM) microenvironment remain limited. Patients and methods: Fresh BM specimens collected from 103 adult AML patients at diagnosis and 12 healthy donors (HDs) were tested T-cell differentiation subsets by multi-parameter flow cytometry. Results: CD4 and CD8 T-cell compartments had different constituted profiles of T-cell differentiated subsets, which was similar between AML patients and HDs. Compared to HDs, AML patients as a whole had a significantly higher proportion of CD8 effector T cells (Teff, P = 0.048). Moreover, the T-cell compartment of AML patients with no DNMT3A mutations skewed toward terminal differentiation at the expense of memory T cells (CD4 Teff: P = 0.034; CD8 Teff: P = 0.030; CD8 memory T: P = 0.017), whereas those with mutated DNMT3A had a decrease in CD8 naïve T (Tn) and CD4 effector memory T cells (Tem) as well as an increase in CD4 central memory T cells (Tcm) (P = 0.037, 0.053 and 0.053). Adverse ELN genetic risk correlated with a lower proportion of CD8 Tn. In addition, the low proportions of CD4 Tem and CD8 Tn independently predicted poorer relapse-free survival (RFS, HR [95%CI]: 5.7 (1.4-22.2), P = 0.017 and 4.8 [1.3-17.4], P = 0.013) and event-free survival (EFS, HR [95% CI]: 3.3 (1.1-9.5), P = 0.029; 4.0 (1.4-11.5), P = 0.010), respectively. Conclusions: AML patients had abnormal profiles of BM T-cell differentiation subsets at diagnosis, which was related to DNMT3A mutations. The low proportions of CD4 Tem and CD8 Tn predicted poor outcomes.

Radio Signal Modulation Recognition Method Based on Hybrid Feature and Ensemble Learning: For Radar and Jamming Signals.

The detection performance of radar is significantly impaired by active jamming and mutual interference from other radars. This paper proposes a radio signal modulation recognition method to accurately recognize these signals, which helps in the jamming cancellation decisions. Based on the ensemble learning stacking algorithm improved by meta-feature enhancement, the proposed method adopts random forests, K-nearest neighbors, and Gaussian naive Bayes as the base-learners, with logistic regression serving as the meta-learner. It takes the multi-domain features of signals as input, which include time-domain features including fuzzy entropy, slope entropy, and Hjorth parameters; frequency-domain features, including spectral entropy; and fractal-domain features, including fractal dimension. The simulation experiment, including seven common signal types of radar and active jamming, was performed for the effectiveness validation and performance evaluation. Results proved the proposed method's performance superiority to other classification methods, as well as its ability to meet the requirements of low signal-to-noise ratio and few-shot learning.

Safety and Efficacy of Combined Injection of Pure-µ-Opioid Agonist with Tramadol as an Opioid Induction Agent for Opioid-Naïve Cancer Patients.

Background: Tramadol is known to provide synergistic analgesia when used in combination with morphine. Objectives: The aims of this study were: (1) to introduce an opioid combination therapy using pure-µ-opioid receptor agonist (OPI) + tramadol injections (OPI + tramadol) and (2) to elucidate safety and efficacy of this combination therapy for opioid-naïve cancer pain patients. Methods: Opioid-naïve patients referred to our palliative care team (in Japan) who were unable to take oral medications and received OPI + tramadol as opioid induction agents were retrospectively investigated on the electric medical chart. OPI + tramadol dosage was adjusted to achieve the patient's pain as Numerical Rating Scale ≤4/10 or Support Team Assessment Schedule-Japanese ≤1. Patients' demography, doses of OPI and tramadol administered, and adverse events were analyzed. Results: A total of 44 patients were included. The primary organs of malignancy were pancreas (11), stomach (5), lung (4), breast (4), liver (4), and others (13). OPI injections administered were hydromorphone (39), morphine (6), oxycodone (1), and fentanyl (1). The starting doses of OPI (morphine equivalent) and tramadol were 6.05 ± 1.63 and 67.8 ± 13.6 mg/day, respectively, and the final doses of OPI (morphine equivalent) and tramadol were 8.14 ± 3.85 and 80.0 ± 28.5 mg/day, respectively. Treatment goals were achieved in all patients. There were three patients in whom OPI was switched owing to inadequate analgesia and no new side effects other than those known to occur when OPI or tramadol is administered appeared. Conclusion: The results suggest that this innovative and unique opioid therapy can be safely and effectively introduced to opioid-naïve cancer patients who are relatively close to the end of life.

Roles of naïve CD4+ T cells and their differentiated subtypes in lung adenocarcinoma and underlying potential regulatory pathways.

BACKGROUND: Naïve CD4+ T cells and their differentiated counterparts play a significant regulatory role in the tumor immune microenvironment, yet their effects on lung adenocarcinoma (LUAD) are not fully understood. METHODS: We utilized Mendelian randomization to assess the causal association between naïve CD4+ T cells and LUAD. Employing a modified single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm with The Cancer Genome Atlas (TCGA) database, we determined the infiltration levels of naïve CD4+ T cells and their differentiation subtypes and investigated their correlation with clinical characteristics. Potential regulatory pathways of T helper cells were identified through Mantel tests and Kyoto Encyclopedia of Genes and Genomes (KEGG) database enrichment analysis. RESULTS: Mendelian randomization analysis revealed an inhibitory effect of naïve CD4+ T cells on LUAD (false discovery rate < 0.05), which was corroborated by observational experiments using TCGA database. Specifically, T helper cell type 2 demonstrated a promotive effect on LUAD in terms of overall, disease-free, and progression-free survival (p < 0.05). Moreover, regulatory T cells exhibited a protective effect on LUAD in terms of disease-specific survival (p < 0.01). Concurrently, we explored the overall impact of naïve CD4+ T cell differentiation subtypes on LUAD, revealing upregulation in pathways such as neutrophil degranulation, MAPK family signaling pathways, and platelet activation, signaling, and aggregation. CONCLUSION: Naïve CD4+ T cells and their differentiated counterparts play essential regulatory roles in the tumor immune microenvironment, demonstrating bidirectionality in their effects.Thus, elucidating the mechanisms and developing novel cell differentiation-inducing agents will benefit anti-cancer therapy.